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  • Statistics In Transition

 

Article | 06-April-2018

Model of Ball Mill Based on the CPS

With the development of the new technology of intelligent manufacturing and cyber physical system, a new scheme is proposed for designing of predictive production based on ball mill. First, physical model (PM) and the model based on data (cyber model, CM) are discussed. Then, the combination of physical model and cyber model (CPM) is realized. Physical model is established according to the volume balance formula and the material balance formula. Cyber model uses the algorithm of the extreme

Li Cunfang, Zhang Taohong, Zhang Dezheng, Wang Huan, Zeng Qingfeng, Sun Yi

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 14–24

Sampling Methods | 20-November-2017

BAYESIAN MODEL AVERAGING AND JOINTNESS MEASURES: THEORETICAL FRAMEWORK AND APPLICATION TO THE GRAVITY MODEL OF TRADE

The following study presents the idea of Bayesian model averaging (BMA), as well as the benefits coming from combining the knowledge obtained on the basis of analysis of different models. The BMA structure is described together with its most important statistics, g prior parameter proposals, prior model size distributions, and also the jointness measures proposed by Ley and Steel (2007), as well as Doppelhofer and Weeks (2009). The application of BMA is illustrated with the gravity model of

Krzysztof Beck

Statistics in Transition New Series, Volume 18 , ISSUE 3, 393–412

Research Article | 22-January-2018

A GENERALIZED RANDOMIZED RESPONSE MODEL

In this paper we have suggested a generalized version of the Gjestvang and Singh (2006) model and have studied its properties. We have shown that the randomized response models due to Warner (1965), Mangat and Singh (1990), Mangat (1994) and Gjestvang and Singh (2006) are members of the proposed RR model. The conditions are obtained in which the suggested RR model is more efficient than the Warner (1965) model, Mangat and Singh (1990) model and Mangat (1994) model and Gjestvang and Singh (2006

Housila P. Singh, Swarangi M. Gorey

Statistics in Transition New Series, Volume 18 , ISSUE 4, 669–686

Article | 05-June-2013

A SIMPLIFIED MODEL STRUCTURE FOR AN ACTIVATED SLUDGE SYSTEM

Activated sludge system is the essential technology in use for municipal wastewater treatment plant. The system design for pollutants removal, safety analysis and experimentation relied upon an effective, straightforward and reliable model. However, most of the available models are too complex to use for control purposes either practically or via simulation. Therefore, vehement need for a simplistic and efficient model could not be avoided. This paper presents a simplified model structure for

M.S. Gaya, N. A. Wahab, Y. M. Sam, A.N Anuar, S.I. Samsuddin, M.C Razali

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1167–1179

Article | 27-December-2017

IDENTIFICATION OF ELECTRO-HYDRAULIC ACTUATOR USING FRACTIONAL MODEL

Electro-hydraulic actuator (EHA system) identification is to describe the characteristic of the system that useful for prediction or control system design. There are numerous methods of EHA modeling but there has not been much model using fractional-order (FO) model. In this work, integer-order (IO) model and FO model are developed to model EHA system. Output-error method is used as the estimator for both model. The coefficient of IO model was first estimated and using the estimated coefficient

Nuzaihan Mhd Yusof, Norlela Ishak, Ramli Adnan, Yahaya Md. Sam, Mazidah Tajjudin, Mohd Hezri Fazalul Rahiman

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 32–48

Review | 06-August-2019

EX-ANTE ANALYSIS MODEL OF THE COST-EFFECTIVENESS OF ENVIRONMENTAL POLICY REGULATIONS

environmental management. The paper aims to develop a model of ex-ante analysis of the cost-effectiveness of environmental policy. 2. THE ESSENCE OF COST-EFFECTIVENESS ANALYSIS Cost-effectiveness analysis was developed to measure the effectiveness of non-productive investments, i.e. investments whose effects are useful and often impossible to express in monetary units. This makes it difficult to ensure a uniform measurement of outlays and effects. In the case of outlays – money units are the measure, in

Elzbieta BRONIEWICZ

Architecture, Civil Engineering, Environment, Volume 12 , ISSUE 2, 119–130

Article | 14-October-2020

Demand Forecast of Weapon Equipment Spare Parts Based on Improved Gray-Markov Model

based on the time series prediction model requires a large amount of historical data, and the data must not have periodic changes or mutations. Neural network-based spare parts demand prediction method requires a large number of statistical samples, and the prediction results are highly subjective and random. These factors greatly limit the application of artificial intelligence methods [2]. Therefore, how to improve the prediction accuracy of the demand for spare parts for weapons and equipment is

Ou Li, Bailin Liu, Chenhao Li, Dan Gao

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 3, 47–56

Article | 07-May-2018

Research on Robust Model for Web Service Selection

Most existing service quality models use defined Quality of Service parameters for service selection.Since a large number of uncertainties exist, the QoS performance indicators in the runtime of the composite services obtained through the model and method based on the determined QoS will be worse even beyond the range acceptable to the users. Web services can solve this problem and become the most reasonable solution in the current application environment. Web services can solve this problem

Wei Yanxi, Yu Fan, Ma Xing, Yu Haige, Yang Wenhui

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 118–120

Article | 25-November-2017

MODEL TO CALCULATE THE OPTIMAL MODE OF TRAIN LOCOMOTIVES TURNOVER

Summary. A model to calculate the optimal work modes of train locomotives while serving train flows is proposed. The model is a further development of the dynamic transportation problem. Parameters of train movement and locomotive utilization are published. Both locomotive turnover and train schedules are produced. Useful utilization of locomotives increases from 70% to 90–95%. This allows the reduction of several thousands of train locomotives.

Petr KOZLOV, Sergey VAKULENKO, Nikolay TUSHIN, Elena TIMUKHINA

Transport Problems, Volume 12 , ISSUE 3, 125–133

Article | 07-April-2018

UAV Dynamic Simulation Model Establishment Method Based on Simulink/Aerosim

Aiming at the problem of UAV dynamic modeling with high difficulty and poor timeliness, a UAV dynamic model based on Simulink/Aerosim rapid method is established in this paper. Based on the analysis of UAV system internal structure, using Simulink/Aerosim toolbox to build six degrees of freedom dynamic simulation model of unmanned aerial vehicle and the setting of relevant parameters and RTW environment configuration process is analyzed, finally, by analyzing the typical flight parameters of a

Chen GuoShao, Yang Sen

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 29–37

Research Article | 20-February-2013

OUTLIER DETECTION BASED ON SIMILAR FLOCKING MODEL IN WIRELESS SENSOR NETWORKS

Outlier detection plays a crucial role in secure monitoring in Wireless Sensor Networks (WSN). Moreover, outlier detection techniques in WSN face the problem of limited resources of transmission bandwidth, energy consumption and storage capacity. In this paper, similar flocking model is proposed and a cluster algorithm based on similar flocking model (CASFM) is put forward to detect outliers in real-time stream data collected by sensor nodes. The similar flocking model improves the Vicsek model

Cheng Chunling, Wu Hao, Yu Zhihu, Zhang Dengyin, Xu Xiaolong

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 18–37

Article | 20-November-2017

INVESTIGATION ON PHOTOELECTRIC THEODOLITE DATA PROCESSING AND RANDOM ERRORS MODEL

Measure error of photoelectric theodolite would influence result precision when tracking flight target. This paper researches error problem of testing. It analyses all the causes of error forming, divides them to several sorts: system error, random error and outlier error, then provides resolution method to each sort. Especially for random error, it builds an error model, analyses the properties of unbiased, equal variance and uncorrelated, conducts best error estimate, discuss the relationship

Xiang Hua, Jinjin Zhang, Bin Lei

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1180–1202

Research Article | 20-November-2017

AN APPLICATION OF FUNCTIONAL MULTIVARIATE REGRESSION MODEL TO MULTICLASS CLASSIFICATION

In this paper, the scale response functional multivariate regression model is considered. By using the basis functions representation of functional predictors and regression coefficients, this model is rewritten as a multivariate regression model. This representation of the functional multivariate regression model is used for multiclass classification for multivariate functional data. Computational experiments performed on real labelled data sets demonstrate the effectiveness of the proposed

Mirosław Krzyśko, Łukasz Smaga

Statistics in Transition New Series, Volume 18 , ISSUE 3, 433–442

Article | 06-July-2017

SMALL AREA PREDICTION UNDER ALTERNATIVE MODEL SPECIFICATIONS

Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A

Andreea L. Erciulescu, Wayne A. Fuller

Statistics in Transition New Series, Volume 17 , ISSUE 1, 9–24

Article | 02-November-2017

K-BARRIER COVERAGE WITH A DIRECTIONAL SENSING MODEL

The use of wireless sensor networks to protect sensitive facilities or international borders has attracted more and more attention. In contrast to previous studies in which the barrier coverage problem was solved under the assumption of an omni-directional sensing model, the current study presents a scheme for constructing k-barrier coverage using randomly deployed sensors with directional sensing model. The performance of the proposed scheme was evaluated using the ns-2 network simulator and

Kuo-Feng Ssu, Wei-Tong Wang, Feng-Kuang Wu, Tzu-Ting Wu

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 1, 75–93

Article | 12-April-2018

Learning Better Classification-based Reordering Model for Phrase-based Translation

Reordering is of a challenging issue in phrase-based statistical machine translation systems. This paper proposed three techniques to optimize classification-based reordering models for phrase-based translation under the bracket transduction grammar framework. First, a forced decoding technique is adopted to learn reordering samples for maximum entropy model training. Secondly, additional features are learned from the context of two consecutive phrases to enhance the prediction ability of the

Li Fuxue, Xiao Tong, Zhu Jingbo

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 145–152

Article | 01-June-2020

New linear model for optimal cluster size in cluster sampling

In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain the optimum size of a cluster and an estimate of the variance between clusters. The proposed model leads to further improvement in the estimation of the optimum size of a cluster, and the formula for

Alok Kumar Shukla, Subhash Kumar Yadav

Statistics in Transition New Series, Volume 21 , ISSUE 2, 189–200

Research Article | 20-November-2017

AN ADDITIVE RISKS REGRESSION MODEL FOR MIDDLE-CENSORED LIFETIME DATA

Middle-censoring refers to data arising in situations where the exact lifetime of study subjects becomes unobservable if it happens to fall in a random censoring interval. In the present paper we propose a semiparametric additive risks regression model for analysing middle-censored lifetime data arising from an unknown population. We estimate the regression parameters and the unknown baseline survival function by two different methods. The first method uses the martingale-based theory and the

P. G. Sankaran, S. Prasad

Statistics in Transition New Series, Volume 18 , ISSUE 3, 459–479

Article | 01-September-2014

STUDY AND CONSTRUCTION ON MEMORYLESS NONLINEAR MODEL OF DOHERTY AMPLIFIER

OFDM technology has become the core technology of DTMB system. The high Doherty power amplifier can effectively improve the peak-average power ratio of OFDM system, but with poor linear performance. This paper starts with improving linear performance of Doherty power amplifier, analyzes the nonlinear model of power amplifier, presents a construction method of nonlinear performance model of Doherty power amplifier, gets the corresponding nonlinear performance curve, and then presents a design of

Chen Jun, Su Kaixiong, Huang Xiyuan, Yan Lirong

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1421–1435

Article | 20-September-2020

A Bayesian Small Area Model with Dirichlet Processes on the Responses

Typically survey data have responses with gaps, outliers and ties, and the distributions of the responses might be skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at both levels (responses and area means). This is the Scott-Smith (S-S) model and it may not be robust against these features. Another model that can be used to provide a more robust structure is the two-stage Dirichlet process mixture (DPM) model, which has

Jiani Yin, Balgobin Nandram

Statistics in Transition New Series, Volume 21 , ISSUE 3, 1–19

research-article | 30-November-2020

Optimization Method of Equipment Maintenance Resource Scheduling Based on Hidden Semi-Markov Model

I. INTRODUCTION In order to solve the problems of uneven distribution of maintenance resources, poor planning, and inaccurate forecasts in the process of coordinated maintenance of complex equipment, a complex equipment maintenance resource scheduling optimization method based on hidden semi-Markov model is proposed. Establish the transportation time matrix between the support points and the maintenance points, and propose the maintenance resource scheduling plan between the maintenance points

Pengrui Wang, Bailin Liu, Tao Zhao, Pengxiang Cao

International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 2, 23–31

Research Article | 14-February-2019

SIMULATION MODEL FOR MARITIME CONTAINER TERMINAL

paper, a discrete simulation model is developed in ARENA software for case of a maritime container terminal. The estimation of the general measures of performance for the container port terminals through simulation could provide data for the implementation in the management plans by port administrations.

Florin RUSCĂ, Mihaela POPA, Eugen ROȘCA, Mircea ROȘCA, Aura RUSCĂ

Transport Problems, Volume 13 , ISSUE 4, 47–54

Article | 22-January-2018

ESTIMATION OF SMALL AREA CHARACTERISTICS USING MULTIVARIATE RAO-YU MODEL

The growing demand for high-quality statistical data for small areas coming from both the public and private sector makes it necessary to develop appropriate estimation methods. The techniques based on small area models that combine time series and cross-sectional data allow for efficient "borrowing strength" from the entire population and they can also take into account changes over time. In this context, the EBLUP estimation based on multivariate Rao-Yu model, involving both

Alina Jędrzejczak, Jan Kubacki

Statistics in Transition New Series, Volume 18 , ISSUE 4, 725–742

Research Article | 20-February-2013

CFM: A FITNESS-MODEL-BASED TOPOLOGY CONTROL ALGORITHM FOR WIRELESS SENSOR NETWORKS

The main objective of wireless sensor network design is to maximize network lifetime. The network topology, which is the important foundation of upper layer protocols, serves as the supportive groundwork for this goal. We constructed the model of sensor networks, and investigated the property of topology with complex network theory. Three statistical parameters were used to describe the network structure, and then some ideal characteristics were concluded for topology. The characteristics of

Linfeng Liu, Jiagao Wu, Fu Xiao, Ruchuan Wang

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 58–76

Article | 01-September-2016

PROBABILITY SENSING MODEL BASED ENHANCEMENT OF COVERAGE FOR VIDEO SENSOR NETWORKS

With the foundation of the video probabilistic sensing model that sensing direction is steerable, the study on path coverage enhancement algorithm for video sensor networks has been improved, analysis the position of effective center of mass in the sensor’s model, the network calculates the gravitation between the target track points and the trace nodes, and the repulsive force between both trace nodes of the target track points, then the trace node adjusts its sense direction, make the

Zhang Ju-Wei, Li Na, Wu Ning-Ning, Shi Jingzhuo

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1341–1361

Research paper | 10-April-2013

Labeling of Human Motion Based on CBGA and Probabilistic Model

In this paper, we present a novel method for the labeling of human motion which uses Constraint-Based Genetic Algorithm (CBGA) to optimize the probabilistic model of body features and construct the set of conditional independence relations among the body features by a fitness function. The approach also allows the user to add custom rules to produce valid candidate solutions to achieve more accurate results with constraint-based genetic operators. Specifically, we design the fitness function

Fuyuan Hu, Hau San Wong

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 583–609

Research Article | 03-September-2018

Circuit Design and Experimental Investigations for a Predator–Prey Model

In recent years, dynamical relationship between species in ecology has been intensively investigated and will continue to be one of the most significant themes. The dynamics of predator–prey’s systems are at the heart of these studies. Such models are generally depicted by nonlinear polynomials and exhibit many complex nonlinear phenomena. In this paper, not only a prey–predator model displaying richer dynamical behaviors is analyzed but also its electronic circuit is also designed via the

Afef Ben Saad, Ali Hmidet, Olfa Boubaker

International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–16

research-article | 23-April-2019

GERT MODEL OF A TECHNICAL STATION FOR DETERMINING THE PASSENGER TRAINSET DELAY

to replace the traditional yard cost parameter by non-resort operating cost and fix the delay suffered by cars in the yard due to operations: classification and makeup. Hence, the mathematical model of the train formation plan with non-resort operating time cost parameter has been developed with locomotive extended routing (NTFP) as a more suitable solution incorporating the characteristics of real-life applications. To present the station and determine the length of the technological processing

Mirena TODOROVA

Transport Problems, Volume 14 , ISSUE 1, 81–93

Article | 20-December-2020

A Bayesian analysis of complete multiple breaks in a panel autoregressive (CMB-PAR(1)) time series model

Most economic time series, such as GDP, real exchange rate and banking series are irregular by nature as they may be affected by a variety of discrepancies, including political changes, policy reforms, import-export market instability, etc. When such changes entail serious consequences for time series modelling, various researchers manage this problem by applying a structural break. Thus, the aim of this paper is to develop a generalised structural break time series model. The paper discusses a

Varun Agiwal, Jitendra Kumar, Dahud Kehinde Shangodoyin

Statistics in Transition New Series, Volume 21 , ISSUE 5, 133–149

Sampling Methods | 25-May-2018

A BAYESIAN INFERENCE OF MULTIPLE STRUCTURAL BREAKS IN MEAN AND ERROR VARIANCE IN PANEL AR (1) MODEL

This paper explores the effect of multiple structural breaks to estimate the parameters and test the unit root hypothesis in panel data time series model under Bayesian perspective. These breaks are present in both mean and error variance at the same time point. We obtain Bayes estimates for different loss function using conditional posterior distribution, which is not coming in a closed form, and this is approximately explained by Gibbs sampling. For hypothesis testing, posterior odds ratio is

Varun Agiwal, Jitendra Kumar, Dahud Kehinde Shangodoyin

Statistics in Transition New Series, Volume 19 , ISSUE 1, 7–23

Article | 15-September-2020

Model selection in radon data fusion

Fitting parametric models or the use of the empirical cumulative distribution function are problematic when it comes to the estimation of tail probabilities from small samples. A possible remedy is to fuse or combine the small samples with additional data from external sources and base the inference on the so called density ratio model with variable tilt functions, which widens the support of the estimated distribution of interest. This approach is illustrated using residential radon

Xuze Zhang, Saumyadipta Pyne, Benjamin Kedem

Statistics in Transition New Series, Volume 21 , ISSUE 4, 159–165

Article | 15-March-2021

VEHICLE CYCLE HIERARCHIZATION MODEL TO DETERMINE THE ORDER OF BATTERY ELECTRIC BUS DEPLOYMENT IN PUBLIC TRANSPORT

Battery electric buses (BEBs) are gaining ground in public transport, and the next decade is likely to witness a further increase in the numbers of these vehicles. The core problem of the BEB deployment process in public transport lies in how to deal with the technical limitations of this technology (primarily, a limited range of a bus). This paper outlines the model of vehicle cycle hierarchization dedicated to municipal transport planners and transit companies. The model is based on a

Krzysztof KRAWIEC

Transport Problems, Volume 16 , ISSUE 1, 99–112

Article | 30-November-2018

Hazard Grading Model of Terrorist Attack Based on Machine Learning

management of social security, but also avoid unnecessary waste of manpower and property. Combined with big data processing technology, this paper establishes a hierarchical model based on PCA algorithm, K-meas clustering algorithm and entropy method. First, 14 evaluation indicators related to the hazard of the event were selected to preprocess the existing data. Secondly, the PCA method was used to reduce the index from 14 dimensions to 4 dimensions, and the reduced dimension vector was obtained by the

Jun Yu, Tong Xian, Zhiyi Hu, Yutong Liu

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 81–85

Article | 01-June-2016

RANDOM SIGNAL FREQUENCY IDENTIFICATION BASED ON AR MODEL SPECTRAL ESTIMATION

achieve greatly improvement, which is a great importance for improving the accuracy of the power spectral estimation. This paper mainly studies AR model of parametric modeling in the modern spectral estimation, and then uses the simulation between the classical power spectral estimation and modern power spectral estimation for comparison, verifies the analysis of the modern power spectral estimation based on ARmodel is more accurate than the classical power spectral estimation.

Chunhuan Song

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 884–908

Research paper | 01-November-2017

INFERENTIAL ISSUES IN MODEL-BASED SMALL AREA ESTIMATION: SOME NEW DEVELOPMENTS

Small area estimation (SAE) has seen a rapid growth over the past 10 years or so. Earlier work is covered in the author's book (Rao 2003). The main purpose of this paper is to highlight some new developments in model-based SAE since the publication of the author's book. A large part of the new theory addressed practical issues associated with the model-based approach, and we present some of those methods for area level and unit level models. We also briefly mention some new work on synthetic

J. N. K. Rao

Statistics in Transition New Series, Volume 16 , ISSUE 4, 491–510

Research Article | 13-June-2021

A Bayes algorithm for model compatibility and comparison of ARMA(p,q) models

The paper presents a Bayes analysis of an autoregressive-moving average model and its com ponents based on exact likelihood and weak priors for the parameters where the priors are defined so that they incorporate stationarity and invertibility restrictions naturally. A Gibbs Metropolis hybrid scheme is used to draw posterior-based inferences for the models under consideration. The compatibility of the models with the data is examined using the Ljung Box-Pierce chi-square-based statistic. The

Praveen Kumar Tripathi, Rijji Sen, S.K. Upadhyay

Statistics in Transition New Series, Volume 22 , ISSUE 2, 95–123

Article | 30-November-2018

Application of the Source Encryption Algorithm Model in the Power Industry

construction. This paper will focus on the introduction of a source encryption algorithm model, hoping to provide a digital security model reference for the application of digital business in the power industry. II. INTRODUCTION TO ENCRYPTION TECHNOLOGY As an important part of network security, data encryption technology plays a very important role in the network. It involves the confidentiality, authentication, non-repudiation and integrity of data. Key is the key of data encryption, which controls the

Jiao Longbing

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 4, 68–73

Research Article | 27-February-2017

ROAD ACCIDENT ESTIMATION MODEL IN URBAN AREAS

accidents. Using specific spatial analysis, a model of accident estimation in the urban areas of Bucharest is developed. The study aims to provide useful tools for urban decision makers for a-priori analysis of the consequences of urban outline changes on traffic risks.

Serban RAICU, Dorinela COSTESCU, Stefan BURCIU, Florin RUSCA, Mircea ROSCA

Transport Problems, Volume 11 , ISSUE 3, 33–42

Article | 13-December-2019

MODELLING LANGUAGE EXTINCTION USING SUSCEPTIBLE-INFECTIOUS-REMOVED (SIR) MODEL

The study presents a stochastic epidemic model applied to the model of indigenous language extinction. The Susceptible-Infectious-Removed (SIR) categorization of an endemic disease has been reformulated to capture the dynamics of indigenous language decline, based on the assumption of nonhomogeneous mixing. The time in which an indigenous language is expected to be extinct was derived using a modified SIR model with the population segmented into several sub-communities of small sizes

N. A. Ikoba, E. T. Jolayemi

Statistics in Transition New Series, Volume 20 , ISSUE 4, 71–87

Article | 27-May-2019

NONRANDOMIZED RESPONSE MODEL  FOR COMPLEX SURVEY DESIGNS

Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. To overcome such difficulties, nonrandomized response (NRR) surveys have been proposed. The proposed NRR surveys are limited to simple random sampling with replacement (SRSWR) design. In this paper, NRR procedures are extended to complex survey

Raghunath Arnab, Dahud Kehinde Shangodoyin, Antonio Arcos

Statistics in Transition New Series, Volume 20 , ISSUE 1, 67–86

Article | 26-August-2018

PREDICTION OF THE CHROMIUM (III) SEPARATION FROM ACIDIC SALT SOLUTIONS ON NANOFILTRATION MEMBRANES USING DONNAN AND STERIC PARTITIONING PORE (DSP) MODEL

This paper presents experimental and modelling analysis of the application of nanofiltration for separation of chromium (III) from acidic salt solution. In the studies commercial nanofiltration HL membrane has been used. The experimental results have been interpreted by, based on the extended Nernst-Planck equation, Donnan and Steric Partitioning Pore (DSP) model. The obtained results showed satisfactory agreement between experimental and modelling data for the pressure range 10-24 bar and

Anna KOWALIK-KLIMCZAK, Mariusz ZALEWSKI, Paweł GIERYCZ

Architecture, Civil Engineering, Environment, Volume 9 , ISSUE 3, 135–140

Article | 05-September-2021

Trade potential under the SAFTA between India and other SAARC countries: the augmented gravity model approach

The study attempts to analyse India’s trade potential with other SAARC member states under the SAFTA agreement by means of the augmented gravity model, at annual frequency from 1992 to 2019 in general and from 2004 to 2019 in particular. The findings of this paper prove that the intra-regional trade volumes between SAARC countries can be increased and encouraged. Moreover, the research shows that it is important to introduce structural reforms aiming to boost trade with non-member states

Vipin Sharma, Vinod Kumar

Statistics in Transition New Series, Volume 22 , ISSUE 3, 81–97

Article | 30-November-2018

Research of Network Closed-loop Control System Based on the Model Predictive Control

forward network delay problem of need to pay attention to time-varying in the network control [7]. Halevi and Ray in the literature[8] augmented deterministic discrete-time model for the periodic network delay, Gregory C. Walsh in the literature[9] considered controller and controlled object is nonlinear time-varying assuming no observation noise, based on nonlinear perturbation method theory, the network delay impact the system is described as a perturbation of the continuous-time systems. Walsh and

Xu Shuping, Wang Shuang, Guo yu, Su Xiaohui

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 4, 30–37

Research Article | 21-April-2017

THE OPTIMIZATION APPROACH OF POSTAL TRANSPORTATION NETWORK BASED ON UNCAPACITATED FIXED CHARGE LOCATION MODEL IN CONDITIONS OF SLOVAK REPUBLIC

The article deals with the possibilities of optimizing the postal transportation network with respect to planned road infrastructure. The research adopted in this article uses allocation models within graph theory to obtain results for addressed optimization problem. The article presents and compares two types of these models – p-median and uncapacitated fixed charge facility location model. The latter is subsequently applied on the postal network to determine the optimal location of postal

Radovan MADLEŇÁK, Jozef ŠTEFUNKO

Transport Problems, Volume 10 , ISSUE 4, 35–43

Article | 04-March-2018

EXPERIMENTAL VALIDATION FOR THE TRAINING METHOD AND MATHEMATICAL MODEL OF THE PILOT SKILL FORMATION IN MAINTENANCE OF ATTITUDE ORIENTATION

In order to overcome the drawbacks in artificial horizon indicator (HI) of inside-in type (a view from an aircraft (A/C)), where pilots produce mistakes in maintenance of attitude orientation most of all, the authors offer a novel training method. The method is based on the hypothesis that the manipulative ability of a human visual system can be trained. A mathematical model for the data accumulation during the corresponding training procedure has been proposed. Construction, design and results

Maksim BARABANOV, Gennady KOVALENKO, Valery BALYASNIKOV, Mikhail SMUROV, Vladimir CHEPIGA

Transport Problems, Volume 12 , ISSUE 4, 127–140

Research paper | 01-August-2017

Rat white matter injury model induced by endothelin-1 injection: technical modification and pathological evaluation

White matter injury is an important cause of functional disability of the brain. We comprehensively analyzed a modified endothelin-1 (ET-1) injection-induced white matter injury model in the rat which is very valuable for investigating the underlying mechanisms of subcortical ischemic stroke. ET-1 was stereotactically injected into the internal capsule of the rat. To avoid complications with leakage of ET-1 into the lateral ventricle, the safest trajectory angle to the target was established

Hideaki Ono, Hideaki Imai, Satoru Miyawaki, Hirofumi Nakatomi, Nobuhito Saito

Acta Neurobiologiae Experimentalis, Volume 76 , ISSUE 3, 212–224

Article | 20-September-2020

Poisson Weighted Ishita Distribution: Model for Analysis of Over-Dispersed Medical Count Data

A new over-dispersed discrete probability model is introduced, by compounding the Poisson distribution with the weighted Ishita distribution. The statistical properties of the newly introduced distribution have been derived and discussed. Parameter estimation has been done with the application of the maximum likelihood method of estimation, followed by the Monte Carlo simulation procedure to examine the suitability of the ML estimators. In order to verify the applicability of the proposed

Bilal Ahmad Para, Tariq Rashid Jan

Statistics in Transition New Series, Volume 21 , ISSUE 3, 171–184

Research Article | 03-September-2018

An Agent-Based Metapopulation Model Simulating Virus-Based Biocontrol of Heterodera Glycines

With recently discovered soybean cyst nematode (SCN) viruses, biological control of the nematodes is a theoretical possibility. This study explores the question of what kinds of viruses would make useful biocontrol agents, taking into account evolutionary and population dynamics. An agent-based model, Soybean Cyst Nematode Simulation (SCNSim), was developed to simulate within-host virulence evolution in a virus-nematode-soybean ecosystem. SCNSim was used to predict nematode suppression under a

Safyre Anderson, Chinmay Soman, Sadia Bekal, Leslie Domier, Kris Lambert, Kaustubh Bhalerao

Journal of Nematology, Volume 50 , ISSUE 2, 79–90

Research paper | 01-August-2017

The false-positive responses of analgesic drugs to the intradermal serotonin- and compound 48/80-induced scratches as an animal model of itch

Intradermal injection of pruritogens such as serotonin, histamine and compound 48/80 into the skin and then, the evaluation of the scratching behavior is the commonly used animal model to advance pruritic research and drug development. However, predictive validity of this model is poorly documented. There is a close interaction between itch and pain sensations with regard to mediation through an anatomically and functionally identical neuronal pathway. One approach is whether the existing

Fatih Ilkaya, Ozgur Yesilyurt, Melik Seyrek, Ozgur Gunduz, Tayfun Ide, Ahmet Akar, Ahmet Ulugol, Hasan Guzel, Ahmet Dogrul, Durmus Ucar, Caner Gunaydin

Acta Neurobiologiae Experimentalis, Volume 76 , ISSUE 3, 234–243

Article | 01-December-2016

SPECTRAL CLUSTERING WITH SPATIAL COHERENCE PROPERTY JOINTING TO ACTIVE CONTOUR MODEL FOR IMAGE LOCAL SE GMENTATION

Local Segmentation is the fundamental task for image processing. Consider to the problem of low segmentation precision and contour control instability for image local segmentation, a local segmentation theory is researched that based on SSCACM (spectral clustering with spatial coherence property jointing active contour model). First, by applying spatial coherence property constraint of image pixels to spectral clustering, an adaptive similarity function is constructed and the corresponding

Guang Hu, Shengzhi Yuan

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1731–1749

Research paper | 31-October-2017

USING SYMBOLIC DATA IN GRAVITY MODEL OF POPULATION MIGRATION TO REDUCE MODIFIABLE AREAL UNIT PROBLEM (MAUP)

individual data aggregation and deals with multivariate analysis of interval- valued, multi-valued and histogram data. The paper discusses the scale effect of MAUP which occurs in a gravity model of population migrations and shows how SDA can deal with this problem. Symbolic interval-valued data was used to determine the economic distance between regions which served as a separation function in the model. The proposed approach revealed that economic disparities in Poland are lower than official

Justyna Wilk

Statistics in Transition New Series, Volume 16 , ISSUE 2, 243–264

Article | 01-December-2016

A DEPLOYMENT ALGORITHM OF HETEROGENEOUS UNDERWATER SENSOR NETWORK BASED ON ACOUSTIC AND MAGNETIC JOINT SENSING MODEL

In underwater target detection, because the acoustic environment of the shallow sea is extremely complex, the acoustic detection is becoming more and more difficult. A deployment algorithm of heterogeneous sensor network based on joint probabilistic sensing model is proposed which combine the acoustic detection and magnetic detection to detect underwater targets. Expert system knowledge is used to achieve the deployment of acoustic magnetic underwater sensor network which base on the normal

ZHANG Ju-Wei, WANG Yu, Wang Ya-le

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2149–2166

Article | 01-December-2012

DISTRIBUTED TRUST INFERENCE MODEL BASED ON PROBABILITY AND BALANCE THEORY FOR PEER-TO-PEER SYSTEMS

Researchers have done much around how to measure trust degrees or levels by local and global style in a given distributed network. However, how to infer trust degree for a strange node efficiently in a large-scale distributed environment was little done. This paper focuses on this problem, and proposes a novel trust model based on balance theory and probability theory. We firstly design a simple direct trust model for evidence computing, then construct trust relations network and trust

Zhenhua Tan, Guangming Yang, Wei Cheng

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 1063–1080

Research Article | 13-December-2019

GENERAL LINEAR MODEL: AN EFFECTIVE TOOL FOR ANALYSIS OF CLAIM SEVERITY IN MOTOR THIRD PARTY LIABILITY INSURANCE

The paper focuses on the analysis of claim severity in motor third party liability insurance under the general linear model. The general linear model combines the analyses of variance and regression and makes it possible to measure the influence of categorical factors as well as the numerical explanatory variables on the target variable. In the paper, simple, main and interaction effects of relevant factors have been quantified using estimated regression coefficients and least squares means

Erik Šoltés, Silvia Zelinová, Mária Bilíková

Statistics in Transition New Series, Volume 20 , ISSUE 4, 13–31

research-article | 30-November-2020

The impact of contact tracing on the spread of COVID-19: an egocentric agent-based model

how varying levels of reliability and validity might influence how effective contact tracing can be at containing infectious diseases. This research is organized as follows. First, we review the literature behind contact tracing and our key factor of interest: informant accuracy. Second, we set up the details behind the egocentric agent-based model, examining the effect of informant accuracy and multi-level tracing on the spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the

Andrew Pilny, Lin Xiang, Corey Huber, Will Silberman, Sean Goatley-Soan

Connections: The Quarterly Journal, Volume 41 , ISSUE 1, 25–46

Article | 06-July-2017

SMALL AREA ESTIMATION OF INCOME UNDER SPATIAL SAR MODEL

and adapts the idea of parameter estimation for small areas by means of the HB method in the case of known model hyperparameters. The illustration of the approach mentioned above was based on a real-world example concerning household income data. The precision of the direct estimators was determined using own three-stage procedure which employs Balanced Repeated Replication, bootstrap and Generalized Variance Function. Additional simulations were conducted to show the influence of the spatial

Jan Kubacki, Alina Jędrzejczak

Statistics in Transition New Series, Volume 17 , ISSUE 3, 365–390

Research paper | 13-December-2017

MODEL ORDER SELECTION CRITERION FOR MONITORING HAEMOGLOBIN STATUS IN DENGUE PATIENTS USING ARMAX MODEL

This paper describes the development of linear autoregressive moving average with exogenous input (ARMAX) models to monitor the progression of dengue infection based on hemoglobin status. Three differents ARMAX model order selection criteria namely Final Prediction Error (FPE), Akaike’s Information Criteria (AIC) and Lipschitz number have been evaluated and analyzed. The results showed that Lipschitz number has better accuracy compared to FPE and AIC. Finally based on Lipschitz number

H. Abdul Rahim, F. Ibrahim, M. N. Taib, R. Abdul Rahim, Y.Mad Sam

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 2, 403–419

Article | 01-April-2018

Research on Aorbco Model

The characteristics of human mind are summarized up after the structure, functions and the working procedure of the eight consciousnesses and the human knowledge structure in consciousness-only psychology have been introduced. The limit of artificial intelligence, processing the formalized partial information, is proposed based on the analysis of elements of human intelligence simulated with computers and the development tendency of programming languages. The digital world model and the

Luo Junmin, Lu Wenhua

International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 1–19

Research Article | 23-July-2018

A NEW METHOD FOR COVARIATE SELECTION IN COX MODEL

penalty and hence plays a crucial role in identifying the right covariates. In this paper we propose an information theory-based method to determine the value of l in association with the Cox proportional hazards model. Furthermore, an efficient algorithm is discussed in the same context. We demonstrate the usefulness of our method through an extensive simulation study. We compare the performance of our proposal with existing methods. Finally, the proposed method and the algorithm are illustrated

Ujjwal Das, Nader Ebrahimi

Statistics in Transition New Series, Volume 19 , ISSUE 2, 297–314

research-article | 30-November-2020

Monitoring and analysis of low-voltage network with smart grid architecture model by developing use cases

standards are available to support communication media of the use cases? To address the above research questions, use cases are designed to show the systematic analysis of data at different distribution network stages. The smart grid architecture model (SGAM) framework is introduced in this paper to cover use cases from the technical, functional, and market point of view. A use case is the best way of describing the goals and requirements of actors involved in the LV monitoring process. The mapping

Haresh Kumar, Jagdesh Kumar, Jherna Devi

International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–19

Article | 30-November-2018

A Study of Intelligent Reading Model

be unnecessary to read the entire legal literature. Based on this, in order to make our reading more "intelligent", we need to establish an intelligent reading model that can use natural language to communicate with machines and let machines serve us in order to minimize the learning burden. This paper builds an intelligent reading model. Since English is based on words, which are separated by spaces. However, Chinese is in the form of word, each of words in one Chinese sentence have to be

Yu Jun, Hu Zhiyi, Kang Qinyu, Li Zhonghua

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 3, 106–113

Article | 06-November-2017

MODELING AND CONTROL OF BALL AND BEAM SYSTEM USING MODEL BASED AND NON-MODEL BASED CONTROL APPROACHES

The ball and beam system is a laboratory equipment with high nonlinearity in its dynamics. The aims of this research are to model the ball and beam system considering nonlinear factors and coupling effect and to design controllers to control the ball position. The LQR is designed considering two Degrees-of-Freedom and coupling dynamics. The parameters of the LQR are tuned using Genetic Algorithm (GA). Jacobian linearization method is used to linearize the system around operating-point. Due to

Mohammad Keshmiri, Ali Fellah Jahromi, Abolfazl Mohebbi, Mohammad Hadi Amoozgar, Wen-Fang Xie

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 14–35

Article | 11-April-2018

Research on Combination Forecasting Model of Mine Gas Emission

This paper focuses on the effective analysis of the mine gas emission monitoring data, so as to realize the accurate and reliable mine gas emission prediction. Firstly, a weighted multiple computing models based on parametric t– norm is constructed. And a new mine gas emission combination forecasting method is proposed. The BP neural network model and the support vector machine were used as the single prediction models. Finally, genetic algorithm and least square method were used to

Liang Rong, Chang Xintan, Jia Pengtao, Dong Dingwen

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 194–198

Article | 26-March-2020

EVALUATING THE SAFETY PERFORMANCE OF ROUNDABOUTS

The use of roundabouts is well recognized for sustaining an efficient and safe intersection. However, the safety results may vary based on the prevailing conditions. Therefore, this study assesses the safety performance of roundabouts in Jordan. This study developed a predictive model by collecting and analyzing all accident records of 12 major urban roundabouts in the country over 3 years. For developing the model, this study employed an accident frequency analysis. The model calculated the

Mo'ath ALSHANNAQ, Rana IMAM

Transport Problems, Volume 15 , ISSUE 1, 141–152

Research Article | 30-April-2018

A new HGA-FLVQ model for Mycobacterium Tuberculosis detection

Abstract This research aims at develop an MTB detection model from the FLVQ neural network to HGA-FLVQ model. In this research, the FLVQ method was developed through strengthening its initiation, in which the first cluster centers used as FLVQ input were optimized first by HGA. The results show that sensitivity and specificity of the HGA-FLVQ model reach 96.30 and 95.65%, whereas the sensitivity of an FLVQ method is 70.83%, and the sensitivity of an LVQ method is 87.50%. The specificity of an

N. Charibaldi, A. Harjoko, B. Hisyam

International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–13

Research Article | 07-February-2019

Results of Simulation and Physical Modeling of the Computerized Monitoring and Control System for Greenhouse Microclimate Parameters

The article focuses on the research results concerning development and laboratory testing of simulation and physical models of the computerized monitoring and control system for industrial greenhouse microclimate parameters. The simulation model of the system has been developed and tested in the environment of Proteus computer-aided design. The hardware component has been substantiated and implemented, and the software of the system physical model has been developed by using modern

I. S. Laktionov, O. V. Vovna, A. A. Zori, V. A. Lebedev

International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–15

Article | 01-March-2015

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

Human facial expressions detection plays a central role in pervasive health care and it is an active research field in computer vision. In this paper, a novel method for facial expression detection from dynamic facial images is proposed, which includes two stages of feature extraction and facial expression detection. Firstly, Active Shape Model (ASM) is used to extract the local texture feature, and optical flow technique is determined facial velocity information, which is used to characterize

Shaoping Zhu, Yongliang Xiao

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 581–601

Article | 01-December-2014

CENTRALIZED DISCRETE STATE SPACE MODEL PREDICTIVE CONTROL AND DECENTRALIZED PI-D CONTROLLER OF AN AEROTHERMIC PROCESS

The aerothermic process is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower. The interaction between its main variables is considered as challenging for mono-variable controllers. A change in the ventilator speed affects the temperature behavior which represents a factor that must be managed for energy saving and the human welfare. This paper presents an experimental comparison between a Centralized Discrete State Space Model Predictive Control

M. Ramzi, H. Youlal

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1830–1849

Article | 27-May-2019

ON THE SMOOTHED PARAMETRIC ESTIMATION OF MIXING PROPORTION UNDER FIXED DESIGN REGRESSION MODEL

The present paper revisits an estimator proposed by Boes (1966) – James (1978), herein called BJ estimator, which was constructed for estimating mixing proportion in a mixed model based on independent and identically distributed (i.i.d.) random samples, and also proposes a completely new (smoothed) estimator for mixing proportion based on independent and not identically distributed (non-i.i.d.) random samples. The proposed estimator is nonparametric in true sense based on known &ldquo

Y. S. Ramakrishnaiah, Manish Trivedi, Konda Satish

Statistics in Transition New Series, Volume 20 , ISSUE 1, 87–102

Article | 01-June-2015

AN ADVANCED NONLINEAR SIGNAL MODEL TO ANALYZE PULSATION-DERIVED PHOTOPLETHYSMOGRAM SIGNALS

This paper proposes an advanced nonlinear signal model to handle the intrinsic nonlinearity of the pulsation of photoplethysmogram (PPG) signals and so permit their assessment. This model consists of three-different sinusoidal source signals and it successfully reproduces the primary harmonic, the second harmonic, the respiratory and the other spectra stemming from the interaction of the three source signals. We demonstrate the potential of the model in various experiments on PPG signals. It is

H. Ozaki, Y. Omura

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 921–943

Article | 01-September-2016

VISUALIZATION TECHNOLOGY OF THE MICROSTRUCTURE OF RESERVOIR CORE

To solve the problem in conventional technologies of analysis and integration in micro scale of reservoir core, virtual reality and visualization technology can be used in the research of reservoir core microstructure. Integrated with practical research and application works, the modeling method of reservoir core and the database store method of microstructure model are analyzed and discussed. A skeleton extraction algorithm based on maximum circumsphere method is proposed to achieve the

Niu Wenjie, Xu Qingqing, Xu Ying, Xu Guohui, Wang Xiaobin, Zheng Shipo, Liu He

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1479–1496

Research paper | 01-November-2017

BORROWING INFORMATION OVER TIME IN BINOMIAL/LOGIT NORMAL MODELS FOR SMALL AREA ESTIMATION

Linear area level models for small area estimation, such as the Fay-Herriot model, face challenges when applied to discrete survey data. Such data commonly arise as direct survey estimates of the number of persons possessing some characteristic, such as the number of persons in poverty. For such applications, we examine a binomial/logit normal (BLN) model that assumes a binomial distribution for rescaled survey estimates and a normal distribution with a linear regression mean function for

Carolina Franco, William R. Bell

Statistics in Transition New Series, Volume 16 , ISSUE 4, 563–584

Article | 03-October-2018

MODEL OF THE MAINTENANCE AND REPAIR SYSTEM IN SERVICE MAINTENANCE MANAGEMENT

The model of service maintenance and repair of passenger rolling stock is considered as a multi-channel system. The presented model is implemented on the queuing model basis. The service maintenance and passenger rolling stock system stipulates not only for the transition to a new level of the maintenance system as a type of activity but as a means boosting up the economic growth rate and living standards. As a result, we managed to resolve the problem of the optimum design for the service

Dmitry BANNIKOV, Nina SIRINA, Alexander SMOLYANINOV

Transport Problems, Volume 13 , ISSUE 3, 5–14

research-article | 22-June-2021

An efficient sentiment analysis using topic model based optimized recurrent neural network

-based sentiment analysis (ABSA) has gained much attention in the last decade, and it continues a thrust area of research. Various studies have shown the effectiveness of recurrent neural network-based models for the sentiment classification task in the recent past. Different hybrid models are proposed, which use convolution neural network (CNN) and LSTM for the classification task. Now the research question/direction that comes out is to propose an efficient deep neural network model for the

Nikhlesh Pathik, Pragya Shukla

International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–12

Article | 05-September-2021

The Complex-Number Mortality Model (CNMM) based on orthonormal expansion of membership function

The paper deals with a new fuzzy version of the Lee-Carter (LC) mortality model, in which mortality rates as well as parameters of the LC model are treated as triangular fuzzy numbers. As a starting point, the fuzzy Koissi-Shapiro (KS) approach is recalled. Based on this approach, a new fuzzy mortality model – CNMM – is formulated using orthonormal expansions of the inverse exponential membership functions of the model components. The paper includes numerical findings based on a

Andrzej Szymański, Agnieszka Rossa

Statistics in Transition New Series, Volume 22 , ISSUE 3, 31–57

Article | 07-April-2018

Quad-rotor UAV Control Method Based on PID Control Law

This paper studies on the dynamics model and control method of quad-rotor UAV for research. Firstly analyzes the dynamic characteristic of quad-rotor UAV and establishes the nonlinear dynamics model of quad-rotor UAV; and then applies the PID control to three channels of pitch, roll and yaw based on the established model, and the simulation results show that PID control is effective for the quad-rotor UAV control with the ideal conditions. Finally analyzes the results of PID control under the

Yang Sen, Wang Zhongsheng

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 83–89

Research Article | 13-June-2021

Spatial sampling methods modified by model use

Recent years have seen an intensive development in the field of spatial sampling methods, which generally focus on a balanced distribution of the sample in space. Adaptive sampling methods constitute another dynamic direction in the sampling theory. The issue raised in this article involves the combination of these directions. Five of the commonly known spatial sampling methods have been analysed. The experiment was designed to include statistical model in the sampling procedure. As in the case

Tomasz Bąk

Statistics in Transition New Series, Volume 22 , ISSUE 2, 143–154

Research Article | 01-September-2011

ACCURACY COMPARISON OF ARX AND ANFIS MODEL OF AN ELECTRO-HYDRAULIC ACTUATOR SYSTEM

Precise control of electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Good control can be designed when precise model of the system is available. Linear ARX modelling has widely been applied and satisfying result has been obtained, through linearization process. The objective of this paper is to compare ARX model with nonlinear ANFIS (Adaptive Neuro-Fuzzy Inference System) model, which can represent the real EHA

M. F. Rahmat, T. G. Ling, A. R. Husain, K. Jusoff

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 3, 440–453

Article | 30-November-2018

Research on Trust-Role Access Control Model in Cloud Computing

attributes by the system administrator, and the subject cannot modify its own security attributes. However, its lack of flexibility and lack of consideration for authorization management are generally not used in large distributed environment systems. B. Role-Based Access Control Method In the role-based access control (RBAC) model, the concept of “role” is introduced[4]. The main idea is to separate the subject from the object. The access rights are not directly directed to the subject and the object

Yuchen Wu, Pingping Liu

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 75–80

Article | 01-September-2015

AUTOMATIC RECOGNITION OF FACIAL EXPRESSION BASED ON COMPUTER VISION

Automatic facial expression recognition from video sequence is an essential research area in the field of computer vision. In this paper, a novel method for recognition facial expressions is proposed, which includes two stages of facial expression feature extraction and facial expression recognition. Firstly, in order to exact robust facial expression features, we use Active Appearance Model (AAM) to extract the global texture feature and optical flow technique to characterize facial expression

Shaoping Zhu

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1464–1483

Article | 23-October-2019

School leaders’ perceptions on comprehensive school counseling (CSC) evaluation processes: Adherence and implementation of the American School Counselor Association (ASCA) National Model

Introduction Trends in school counselors’ roles and responsibilities vary throughout the United States. In order to effectively and appropriately meet the needs of all students in a school, positive collaboration, consistent communication, and appropriate evaluation between school counselors and leaders are critical. The American School Counselor Association (ASCA) National Model (2012a; 2012b) provides a framework for comprehensive school counseling (CSC) that guides professional school

Rachel Louise Geesa, Nicholas P. Elam, Renae D. Mayes, Kat R. McConnell, Kaylee M. McDonald

Journal of Educational Leadership, Policy and Practice, Volume 34 , 25–43

Article | 06-July-2017

A TWO-COMPONENT NORMAL MIXTURE ALTERNATIVE TO THE FAY-HERRIOT MODEL

This article considers a robust hierarchical Bayesian approach to deal with random effects of small area means when some of these effects assume extreme values, resulting in outliers. In the presence of outliers, the standard Fay-Herriot model, used for modeling area-level data, under normality assumptions of random effects may overestimate the random effects variance, thus providing less than ideal shrinkage towards the synthetic regression predictions and inhibiting the borrowing of

Adrijo Chakraborty, Gauri Sankar Datta, Abhyuday Mandal

Statistics in Transition New Series, Volume 17 , ISSUE 1, 67–90

Article | 01-June-2016

AN ELECTRICAL MODEL OPTIMIZATION FOR SINGLE CELL FLOW IMPEDANCE SPECTROSCOPY

This paper presents an optimization of a single cell electrical model, based on Maxwell’s mixture Theory, applied to flow cytometry coupled to impedance spectroscopy. It is based on the discretization of the measurement area into a square reference volume, centered between micro-electrodes, and fixed impedance areas. The first one represents the sensing area, the one impacted by cell presence during measurement, and the second one, all other areas that contribute to global measured impedance

J. Claudel, M. Nadi, O. Elmazria, D. Kourtiche

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 526–536

Research Article | 01-June-2020

Count copula regression model using generalized beta distribution of the second kind

Modelling claims severity for obtaining insurance premium is one of the major concerns of the insurance industry. There is a considerable amount of literature on the actuarial application of the copula model to calculate the pure premium. In this paper, we model claims severity for computing the pure premium in the collision market by means of the count copula model. Moreover, we apply a regression model using a generalized beta distribution of the second kind (GB2) to compute the premium for

Hadi Safari-Katesari, Samira Zaroudi

Statistics in Transition New Series, Volume 21 , ISSUE 2, 1–12

Article | 15-September-2020

Effective transformation-based variable selection under two-fold subarea models in small area estimation

We present a simple yet effective variable selection method for the two-fold nested subarea model, which generalizes the widely-used Fay-Herriot area model. The twofold subarea model consists of a sampling model and a linking model, which has a nested-error model structure but with unobserved responses. To select variables under the two-fold subarea model, we first transform the linking model into a model with the structure of a regular regression model and unobserved responses. We then

Song Cai, J. N. K. Rao, Laura Dumitrescu, Golshid Chatrchi

Statistics in Transition New Series, Volume 21 , ISSUE 4, 68–83

Research Article | 02-February-2017

STRUCTURAL ANALYSIS OF RAILWAYS BOLSTER-BEAM UNDER COMMERCIAL OPERATION CONDITIONS: OVER-TRACTION AND
OVER-BRAKING

work is constructed based on the following phases: (i) analysis of the kinematics of the vehicle; (ii) development of numerical models, a model based on the multibody theory, and a Finite Elements model; (iii) development of experimental field tests; and (iv) development of simulations for a detailed analysis of the structural behaviour for a study of the strain distribution in the main bolster-beam. This study is applied to a particular case of a railway system

Ronald M. MARTINOD, German R. BETANCUR, Jorge L. RESTREPO, Leonel F. CASTAÑEDA

Transport Problems, Volume 11 , ISSUE 2, 67–77

Article | 07-May-2018

Research on AORBCO Model and It’s Description Language

This paper improves the AORBCO model based on the four characteristics of intelligence-self conscious, mutual representation, fuzziness and dynamics, and designs a description language of AORBCO model. The language describes the self-consciousness of an agent with its’ five components-belief, desire, ability, planning and behavior control mechanism. The components of entities including acquaintances of an agent and objects known by the agent are as the starting point to characterize the mutual

Zhi Min, Luo Junmin, Gao Wuqi

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 101–105

Research Article | 13-December-2017

Model identification and Smart structural vibration Control using ∞Hcontroller

A smart structure plays a vital role in aerospace applications and robotics and other applications. It presents many challenging control problems due to their non-linear dynamic behavior. The Objective of this work is to design a controller that minimizes the structural vibration using H∞ controller. Vibration as a measured parameter has been used to evaluate model of a non-linear process (piezoelectric actuator and sensor) at different modes .The model was generated using an ARMAX technique

M. Sridevi, P. Madhavasarma

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 655–671

Article | 28-August-2018

RELIABILITY ANALYSIS OF RIGID PILE CAPS USING AN ITERATIVE STRUT-AND-TIE MODEL

The aim of this work is to present a new strut-and-tie model for design of rigid pile caps based on the concept of magnified area under the column. In this magnified area, compressive stresses have been reduced enough not to cause crushing of the struts. An iterative algorithm is used to determine the required depth of the magnified area. The model considers both failure by crushing of the compressed struts and by yielding of the tie reinforcement. A large number of experimental results

José Milton de ARAÚJO

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 2, 65–75

Article | 07-May-2018

The Research and Implementation of 3D Scene Simulation of Camouflage

Aiming at the problems in the camouflage design of military engineering, such as strong subjectivity and unpredictable camouflage effect, etc. We propose a 3D camouflage scene simulation method based on MFC and Vega Prime technologies. On the basis of real DEM data in an area in American, we use 3D visualization technique to create terrain model and ground object model. The camouflage pattern is applied to the surface of the model by texture mapping technology, and real-time rendering is used

Yu Jun, Li Zhonghua, Hu Zhiyi, Dai Jun

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 126–129

Article | 30-November-2018

Application of Improved BP Neural Network in Hybrid Control Model of Lime Quality

. Combined with experience of experts in the field and the production of large amounts of data knowledge mining association rules from database and matching products quality prediction results and adjusting control parameters, obtained the lime rotary kiln control parameter correction information, lime rotary kiln control system for product quality of real time pre measurement and accurate feedback adjustment of intelligent control. II. MODEL AND KEY TECHNOLOGY OF PRODUCT QUALITY CONTROL OF LIME ROTARY

Lingli Zhu, Tingzhong Wang

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 4, 83–86

Article | 15-September-2020

A generic business process model for conducting microsimulation studies

reliable results. We present a generic business process model for conducting microsimulation studies based on an international statistics process model. This simplifies the comprehensive understanding of dynamic microsimulation models. A nine-step procedure that covers all relevant work stages from data selection to output analysis is presented. Further, we address technical problems that typically occur in the process and provide sketches as well as references of solutions.

Jan Pablo Burgard, Hanna Dieckmann, Joscha Krause, Hariolf Merkle, Ralf Münnich, Kristina M. Neufang, Simon Schmaus

Statistics in Transition New Series, Volume 21 , ISSUE 4, 191–211

Article | 12-April-2018

Research and Application of an Intelligent Decision Support System

This paper discusses a new decision-support system that integrates data warehouse, knowledge warehouse and model warehouse. Contrast to the fixed model of the old decision-support system and its limited application, the new system can overcome the shortcoming of the old system efficiently, and also it can simplify model-obtaining and coding. So the new system strengthens the effectiveness, intelligence and efficiency of the decision.

Xiaoqing Zhou, Zhiyong Zhou, Jianqiong Xiao, Jiaxiu Sun

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 141–144

Report | 01-December-2019

Red blood cell phenotyping after transfusion: an in vitro model

Kumudini Gonsalkorale, Charlotte Vanhecke, Krishna G. Badami

Immunohematology, Volume 29 , ISSUE 3, 93–96

Article | 04-November-2019

A MODEL OF TRANSIT FREIGHT DISTRIBUTION ON A RAILWAY  NETWORK

The peculiarity of the transit freight transportation by rail in international traffic is the fact that while performing transportation, the railway administrations are in competition among themselves. At the same time, the routes of cargo traffic volumes significantly depend on the conditions of transportation by railways of individual states. The mathematical model for the distribution of transit freight traffic volumes on the railway network, based on the methods of graph theory and game

Dmytro KOZACHENKO, Vladyslav SKALOZUB, Bogdan GERA, Yuliia HERMANIUK, Ruslana KOROBIOVA, Aleksandra GORBOVA

Transport Problems, Volume 14 , ISSUE 3, 17–26

Article | 06-July-2017

BAYESIAN INFERENCE FOR STATE SPACE MODEL WITH PANEL DATA

The present work explores panel data set-up in a Bayesian state space model. The conditional posterior densities of parameters are utilized to determine the marginal posterior densities using the Gibbs sampler. An efficient one step ahead predictive density mechanism is developed to further the state of art in prediction-based decision making.

Ranjita Pandey, Anoop Chaturvedi

Statistics in Transition New Series, Volume 17 , ISSUE 2, 211–219

Research Article | 15-February-2020

Computational Model Of Plasma-Organic-Polymer-Film-Coated QCR Sensor For Analysing Its Dynamic Response

This paper proposes a computational model of the mass-sensitive chemical sensor with plasma-organic-polymerfilm-coated quartz crystal resonators for use in sensor signal processing to develop a high-performance electronic nose system. Assuming one-dimensional Fickian diffusion of sample gas molecules, diffusion equation is applied to sample gas molecules in the sensor film bulk to describe the responses of the chemical sensor to the sample gas. Green’s function is introduced to solve the

Kazuhiko Takahashi, Naoki Nishiwaki, Iwao Sugimoto

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–4

Research Article | 21-April-2017

The wheel-rail contact friction influence on high speed vehicle model stability

on high speed rail vehicle model dynamics is presented in this paper. Four axle rail vehicle model were built. The FASTSIM code is employed for calculation of the tangential contact forces between wheel and rail. One coefficient of friction value is adopted in the particular simulation process. To check the vehicle model properties under the influence of wheel-rail coefficient of friction changes, twenty four series of simulations were performed. For three curved tracks of radii R = 3000m, 6000m

Mirosław DUSZA

Transport Problems, Volume 10 , ISSUE 3, 73–86

Article | 26-March-2020

MATHEMATICAL MODELING OF THE MOTION PARAMETERS OF A DISABLED PERSON IN A BUS

With a view to determining the dynamics and possible trauma sustained by a disabled person in a wheelchair in the passenger compartment of a bus, a physical model has been developed. The system, as the time function, generalized in the coordinates X(t), φ(t), was described by second-order Lagrangian differential equations. The proposed mathematical model allows for determining the motion characteristics of disabled people in a wheelchair in a bus that can cause injuries. This paper presents

Jumber CHOGOVADZE, Phridon GOGIASHVILI, Gocha LEKVEISHVILI, David KBILASHVILI, Nodar MARDALEISHVILI

Transport Problems, Volume 15 , ISSUE 1, 49–60

Research Article | 03-March-2021

Modelling and forecasting monthly Brent crude oil prices: a long memory and volatility approach

The Standard Generalised Autoregressive Conditionally Heteroskedastic (sGARCH) model and the Functional Generalised Autoregressive Conditionally Heteroskedastic (fGARCH) model were applied to study the volatility of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) model, which is the primary objective of this study. The other goal of this paper is to expand on the researchers' previous work by examining long memory and volatilities simultaneously, by using the ARFIMA

Remal Shaher AlـGounmeein, Mohd Tahir Ismail

Statistics in Transition New Series, Volume 22 , ISSUE 1, 29–54

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