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  • Statistics In Transition

 

Research Article | 10-April-2013

INDUSTRIAL AND ENTERPRISE GREENHOUSE GAS EMISSION DATA ANALYSIS SYSTEM

An Industrial and Enterprise Greenhouse Gas Emission Data Analysis System, which meets with the need of those giant energy-consuming enterprises, has been set up through a series of studies about Greenhouse gas (GHG) verification method in industries such as cement, thermal power, cogeneration, transportation, sewage treatment etc. The analysis system consists of six modules: Organization structure; Facility; Activity data input; Emission data analysis; Report generation; Parameters configure

Sheng-jie LI, Jian ZHANG, Lin QI, Zhi-jie DUAN

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 689–710

Article | 03-September-2013

THE DATA ANALYSIS SYSTEM FOR INDUSTRIAL AND ENTERPRISE GREENHOUSE GAS EMISSION

A Data Analysis System for Industrial and Enterprise Greenhouse Gas Emission, for meeting the needs of the giant energy-consuming enterprises has been set up through a series of studies on the verification method of Greenhouse Gas (GHG) in industries such as cement, thermal power, cogeneration, transport, sewage treatment etc. The analysis system consists of six modules: Organization Structure; Facility; Activity Data Input; Emission Data Analysis; Report Generation; Parameters Configuration

Sheng-jie LI, Jian ZHANG, Zhi-jie DUAN, Liliana Mihaela MOGA, Lin QI

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1343–1365

Article | 30-November-2019

Application Research of Crawler and Data Analysis Based on Python

defining the whole process of crawling, what means to crawl, pipes are responsible for the basic operations such as data cleaning and saving, middleware can be responsible for the bridge service of scratch and other plug-ins or architectures. First, the items to be crawled are defined in the items file. Finally, these items may be submitted to the analysis part for data analysis. The specific design and implementation code is: import scrapy class SteamDevItem(scrapy.Item):   # define the fields for

Wu Hejing, Liu Fang, Zhao Long, Shao Yabin, Cui Ran

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 64–70

Article | 06-July-2017

AN EXTENSION OF THE CLASSICAL DISTANCE CORRELATION COEFFICIENT FOR MULTIVARIATE FUNCTIONAL DATA WITH APPLICATIONS

The relationship between two sets of real variables defined for the same individuals can be evaluated by a few different correlation coefficients. For the functional data we have one important tool: canonical correlations. It is not immediately straightforward to extend other similar measures to the context of functional data analysis. In this work we show how to use the distance correlation coefficient for a multivariate functional case. The approaches discussed are illustrated with an

Tomasz Górecki, Mirosław Krzy´sko, Waldemar Ratajczak, Waldemar Woły´nski

Statistics in Transition New Series, Volume 17 , ISSUE 3, 449–466

Article | 10-April-2018

Novel Model of E-commerce Marketing Based on Big Data Analysis and Processing

The amount of information on the Internet is getting larger and larger, and the energy of the consumer and the ability to deal with information is limited. Electricity supplier enterprises in the development process to do are to use big data for personalized shopping guide. This paper analyzes the situation of the development of e-commerce industry in the background of big data, and puts forward the improvement method. The paper presents novel model of e-commerce marketing based on big data

Hongsheng Xu, Ke Li, Ganglong Fan

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 40–44

Article | 26-May-2019

AN APPLICATION OF FUNCTIONAL DATA ANALYSIS TO LOCAL DAMAGE DETECTION

identify the frequency bands where the impulsivity is most marked (the so-called informative frequency bands or IFB). We propose the functional approach known in modern time series analysis to overcome these difficulties. We will process data sets as collections of random functions to apply techniques of the functional data analysis. As a result, we will be able to represent massive data sets through few real-valued functions and corresponding parameters, which are the eigenfunctions and eigen-values

Jacek Leśkow, Maria Skupień

Statistics in Transition New Series, Volume 20 , ISSUE 1, 131–151

research-article | 21-July-2020

COMPLEX SPACE MONITORING DATA ANALYSIS TO DETERMINE ENVIRONMENTAL TRENDS OF POLAND-UKRAINE BORDER AREAS

establish causality of negative changes by methods of analogy, deep analysis of the studied area (taking into account it’s specificity), definition of informative material factors that influence the occurrence of these changes, and the use of additional data from other sources. However, there are difficulties caused by the specific provision of timely informational support of joint space monitoring data analysis and experimental data. This is due to the fact that the analysis of data that was obtained

Olga BUTENKO, Stanislav HORELIK, Inesa KRASOVSKA, Yevgeniy ZAKHARCHUK

Architecture, Civil Engineering, Environment, Volume 13 , ISSUE 2, 39–56

Research paper | 31-October-2017

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

Spatial analyses suffer from modifiable areal unit problem (MAUP). This occurs while operating on aggregated data determined for high-level territorial units, e.g. official statistics for countries. Generalization process deprives the data of variation. Carrying out research excluding territorial distribution of a phenomenon affects the analysis results and reduces their reliability. The paper proposes to use symbolic data analysis (SDA) to reduce MAUP. SDA proposes an alternative form of

Justyna Wilk

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

Article | 05-September-2021

An application of persistent homology and the graph theory to linguistics: The case of Tifinagh and Phoenician scripts

As the origin of the Tifinagh script remains uncertain, this work aims at exploring its proba ble relatedness with the Phoenician script. Using tools from within topological data analysis and graph theory, the similarity between the two scripts is studied. The clustering of their letter shapes is performed based on the pairwise distances between their topological signa tures. The ideas presented in this work can be extended to study the similarity between any two writing systems and as such can

Hajar Bouazzaoui, Mohamed Abdou Elomary, My Ismail Mamouni

Statistics in Transition New Series, Volume 22 , ISSUE 3, 141–156

Article | 22-July-2019

ECONOMIC GROWTH AND ITS DETERMINANTS: A CROSS-COUNTRY EVIDENCE

Adedayo A. Adepoju, Tayo P. Ogundunmade

Statistics in Transition New Series, Volume 20 , ISSUE 2, 69–84

Article | 22-July-2019

ESTIMATION OF ENERGY INTENSITY IN INDIAN IRON AND STEEL SECTOR: A PANEL DATA ANALYSIS

Anukriti Sharma, Hiranmoy Roy, Narendra Nath Dalei

Statistics in Transition New Series, Volume 20 , ISSUE 2, 107–121

Research paper | 31-October-2017

CLASSIFICATION PROBLEMS BASED ON REGRESSION MODELS FOR MULTI-DIMENSIONAL FUNCTIONAL DATA

Tomasz Górecki, Mirosław Krzyśko, Waldemar Wołyński

Statistics in Transition New Series, Volume 16 , ISSUE 1, 97–110

Article | 06-July-2017

ON THE RELATIONSHIPS BETWEEN SMART GROWTH AND COHESION INDICATORS IN THE EU COUNTRIES

Beata Bal-Domańska, Elżbieta Sobczak

Statistics in Transition New Series, Volume 17 , ISSUE 2, 249–264

Research Article | 20-November-2017

AN APPLICATION OF FUNCTIONAL MULTIVARIATE REGRESSION MODEL TO MULTICLASS CLASSIFICATION

Mirosław Krzyśko, Łukasz Smaga

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

Article | 01-September-2016

USER BEHAVIOUR MONITORING USING MOBILE PHONES TO IMPROVE 5G SERVICES AND PERFORMANCE

Zhihao Cui, Jize Yan

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1189–1219

research-article | 30-November-2019

Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review

relevant articles using PRISMA guideline. Figure 2: Six (6) phases of review protocol. Phase 5 is the data analysis phase, which defines the systematic process to figure out pertinent details addressing the research questions of this SLR. Phase 6 assembles all the obtained empirical evidence to justify the answers to research questions; this phase is essential because, in some cases, a few weak pieces of evidence compositely establish a strong justification of inquired research questions in

Manzoor Ahmed Hashmani, Syed Muslim Jameel, Mobashar Rehman, Atsushi Inoue

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–16

Article | 05-September-2021

Acceptance sampling plans from a truncated life test based on the power Lomax distribution with application to manufacturing

Amjad D. Al-Nasser, Muhammad Ahsan ul Haq

Statistics in Transition New Series, Volume 22 , ISSUE 3, 1–13

Report | 06-July-2017

The XXIV Conference “Classification and Data Analysis – Theory and Applications” 14-16 September 2015, Gdańsk, Poland

Krzysztof Jajuga, Marek Walesiak

Statistics in Transition New Series, Volume 17 , ISSUE 2, 353–354

Article | 12-April-2018

Research on Low Voltage Power Line Carrier Communication Simulation Software

The use of semi-physical simulation platform for school laboratory and classroom building scene a lot of field measurements, analysis of power line channel transmission characteristics of the different environments, and features a three-dimensional graphic display of variable power line channel under different scenarios. At the same time in order to improve the efficiency of the data analysis, the use of MATLAB simulation software design based on off-line data analysis software GUI interface

Ye Jun, Li songnong, Sun Hongliang, Hou Xingzhe

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 125–128

research-article | 03-September-2020

Moderation of treatment effects by parent-adolescent conflict in a randomised controlled trial of Attachment-Based Family Therapy for adolescent depression

management There was a substantial number of patients missing outcome data (38%). In most cases, outcome data was missing due to adolescents declining to come for assessment sessions or not showing up for such sessions, as well as lacking resources and administrative capacity to follow up further in such cases. Bayesian data analysis provides a natural way to handle such missing observations, by estimating these as unobserved parameters of the model, which ensures that the loss of information due to

Erling W. Rognli, Luxsiya Waraan, Nikolai O. Czajkowski, Marianne Aalberg

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 110–122

Article | 20-December-2020

The Gamma Kumaraswamy-G family of distributions: theory, inference and applications

Rana Muhammad Imran Arshad, Muhammad Hussain Tahir, Christophe Chesneau, Farrukh Jamal

Statistics in Transition New Series, Volume 21 , ISSUE 5, 17–40

Research Article | 01-December-2017

A ST X-NUCLEO-BASED TELEMETRY UNIT FOR DETECTION AND WiFi TRANSMISSION OF COMPETITION CAR SENSORS DATA: FIRMWARE DEVELOPMENT, SENSORS TESTING AND REAL-TIME DATA ANALYSIS

P. Visconti, B. Sbarro, P. Primiceri

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 4, 793–828

Article | 24-December-2021

LNG MARKET AND FLEET ANALYSIS

analysis of the several aspects and patterns of the trade has been performed; the results obtained can enable prediction of the market situation for the future. From the data analysis and predictions of the LNG market, continuous growth in the following years is expected, which linked to an increase of the LNG fleet and number of importing countries. Research has shown that new propulsion alternatives such as MEGI and XDF are appearing on the market as the first choice for new builds, while steam

Tatjana STANIVUK, Josip MAHIĆ, Ladislav STAZIĆ, Hana PERDIĆ-LUKAČEVIĆ

Transport Problems, Volume 16 , ISSUE 4, 173–183

Article | 07-July-2017

BAYESIAN ACCELERATED FAILURE TIME AND ITS APPLICATION IN CHEMOTHERAPY DRUG TREATMENT TRIAL

The Cox proportional hazards model (CPH) is normally applied in clinical trial data analysis, but it can generate severe problems with breaking the proportion hazard assumption. An accelerated failure time (AFT) is consid-ered as an alternative to the proportional hazard model. The model can be used through consideration of dierent covariates of interest and random ef- fects in each section. The model is simple to t by using OpenBugs software and is revealed to be a good t

Kumar Prabhash, Vijay M Patil, Vanita Noronha, Amit Joshi, Atanu Bhattacharjee

Statistics in Transition New Series, Volume 17 , ISSUE 4, 671–690

Research paper | 01-November-2017

Triple-goal estimation of unemployment rates for U.S. states using the U.S. Current Population Survey data

;empirical distribution function (EDF) of true small area means, and the ranking of the small areas by true small area means. We achieve our goal using a Monte Carlo simulation experiment and a real data analysis.

Daniel Bonnéry, Yang Cheng, Neung Soo Ha, Partha Lahiri

Statistics in Transition New Series, Volume 16 , ISSUE 4, 511–522

Research Article | 21-April-2017

Improving the system of warranty service of trucks in foreign markets

formed warranty package that will optimize the planning and organization of activity centers to improve operational reliability of commercial trucks. A basis for acceptance of the scientifically-proved decisions is the statistical data analysis of requests monitoring that allows organizing duly replacement of parts with expired service life, and also promotes customer servicing quality improvement and reliability of trucks by prevention of its failures.

Irina MAKAROVA, Rifat KHABIBULLIN, Eduard BELYAEV, Artur BELYAEV

Transport Problems, Volume 10 , ISSUE 1, 63–78

Article | 27-August-2018

ORGANIZING OF HISTORICAL AND INACTIVE URBAN CEMETERIES TO BECOME TOURIST ATTRACTIONS (CASE STUDY: ZAHIR-OD-DOWLEH CEMETERY IN TEHRAN)

This paper is an applied research and the data analysis has been conducted using qualitative and quantitative method. The approach of the study is criticism of forgetting the urban cemetery of Zahir-od-dowleh in north of Tehran aiming at revival of this cultural-historical complex. Therefore, we start the study with a survey on the way of identity revival of the main cemeteries in other countries and changing them to tourism centers. The study will be continued by a texture analysis and using

Hanie OKHOVAT

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 1, 17–28

Article | 09-November-2020

Comparison of hemagglutination and solid phase titration methods for determination of critical prenatal antibody titers

subjected to data analysis. We conclude that there is a strong correlation between HA tube and SP methods in titer end points; i.e., SP was greater than or equal to HA in every case. In addition, the appropriate critical SP titer is 64, which is at least equivalent to an HA critical titer of 16.

Brenda C. Alder, Stephanie H. Summers, Virginia Hare

Immunohematology, Volume 13 , ISSUE 3, 84–89

research-article | 31-August-2021

Deep Learning in Product Manufacturing Record System

. II. Related work A wide variety of time series data exists for various industries, financial time series, electricity consumption time series, coal price time series. It is of great value and significance to spend effort on time series data to study and analyze them. Lots of work has been done by domestic and foreign scholars on time series data analysis and forecasting. RNN is a traditional recurrent neural network [5], which is a model for processing sequential data. The traditional RNN in

Wenjing Wang, Li Zhao

International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 3, 59–65

Research Article | 02-February-2017

In-Depth Investigation on Scene of an Accident – Pilot Study of DaCoTA (Road Safety Data, Collection Transfer and Analysis) Project

The article presents the procedure of in-depth investigation on-site of an accident data collection developed within the project DaCoTA (7th EU Framework Programme). Motor Transport Institute (MTI) participated in a pilot study to test practical usage of proposed methodology. The paper presents procedure, scope of collected data, analysis and the results of research carried out in Poland. After the end of DaCoTA, MTI continues in-depth data collection & analysis of Two Powered Wheel’s

Katarzyna SICINSKA, Anna ZIELINSKA

Transport Problems, Volume 11 , ISSUE 1, 87–97

Research Article | 13-June-2021

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

to offer an easy and precise method for economic data analysis.

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

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

Research Article | 03-December-2018

Nematotoxic coumarins from Angelica pubescens Maxim. f. biserrata Shan et Yuan roots and their physiological effects on Bursaphelenchus xylophilus

magnetic resonance spectral data analysis. The LC50 values against B. xylophilus in 72 hr were 489.17, 406.74, 430.08, and 435.66 μM, respectively. These compounds also altered the smooth morphology of the B. xylophilus exoskeleton to a rough and pitted appearance as visualized by electron microscopy. The coumarins 1-4 possessed significant acetylcholinesterase inhibitory activities but had negligible effects on amylase and cellulase. This research provides additional clues to the nematotoxic mechanism

Qun-Qun Guo, Gui-Cai Du, Yong-Xing Li, Chen-Yan Liang, Chao Wang, Ya-Nan Zhang, Rong-Gui Li

Journal of Nematology, Volume 50 , ISSUE 4, 559–568

Article | 30-September-2021

BRAND EQUITY AS A DETERMINANT OF CUSTOMER COOPERATION GROWTH IN THE ROAD FREIGHT TRANSPORT INDUSTRY

referred to above were formulated and were then verified by performing a quantitative data analysis, relying on Spearman’s rank correlation coefficient and the chi-square test of independence. A statistically significant correlation between brand image and equity, on the one hand, and between brand awareness and image, on the other, has been identified based on the survey. The research confirms the importance of brand equity in the development of business operations, mainly due to the existence

Marcin ŚWITAŁA, Agnieszka ŁUKASIEWICZ

Transport Problems, Volume 16 , ISSUE 3, 53–63

Article | 24-July-2017

Numerical Taxonomy Helps Identification of Merliniidae and Telotylenchidae (Nematoda: Tylenchoidea) from Iran

Pratylenchoides. The multivariate data analysis approach showed robust enough to summarize relationship between morphometric characters and group genera, species, and populations of the nematodes and in particular help to identify the genera and species of Amplimerlinius and Pratylenchoides.

REZA GHADERI, HABIBALLAH HAMZEHZARGHANI, AKBAR KAREGAR

Journal of Nematology, Volume 49 , ISSUE 2, 207–222

Article | 01-December-2016

AMI BASED SENSING ARCHITECTURE FOR SMART GRID IN IPV6 NETWORKS

Advanced Metering Infrastructure (AMI) is a key part in the development of the smart grid, which integrates automatic meter reading, distribution automation, user data analysis, as well as real-time price adjustment functions. Existing AMI can offer good support for smart grid backbone. However, it still has some shortages when sensing the electric meter data acquisition, electric devices, and etc. Due to the vast number of meters, the use of IPv6 technology in AMI is an inevitable trend

Wang Peng, Su Fei, Hu bohong, Luan wenpeng

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2111–2130

Article | 20-July-2021

A clinically based review of patient and treatment characteristics in West Australian private orthodontic practices

Australia, and simple descriptive statistics were applied to assess patient and treatment characteristics. Results: The majority of patients were female (58.5%), adolescent and had private health insurance (75.6%). The most common patient complaint was crowding (37.6%) and aesthetics (21.3%). Data analysis indicated that 31% of patients were self-referred and a similar proportion did not have a specific complaint. Adult females had a higher interest in aesthetic options. Over half of the patients (56

Raymond Lam, Simone Mustac, Mithran S. Goonewardene

Australasian Orthodontic Journal, Volume 36 , ISSUE 1, 9–19

Article | 06-July-2017

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

outliers, the solution depends on the mixing distribution. As a possible alternative solution to the problem, a two-component normal mixture model has been proposed, based on non-informative priors on the model variance parameters, regression oefficients and the mixing probability. Data analysis and simulation studies based on real, simulated and synthetic data show an advantage of the proposed method over the standard Bayesian Fay-Herriot solution derived under normality of random effects.

Adrijo Chakraborty, Gauri Sankar Datta, Abhyuday Mandal

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

research-article | 30-November-2019

Orientation and mobility instruction and its association with performance of mobility activities for elementary age children

This was a correlational study, using secondary data analysis of variables from the SEELS dataset using SPSS version 17. The researcher obtained approval from the Human Subjects Institutional Review Board at Western Michigan University for conducting the analysis (HSIRB #10-07-09). The first question addressed in this study asked: What is the demographic makeup of the students with visual impairments who had the opportunity to participate in O&M, and those who did not? The study then addressed the

Dawn L. Anderson, Robert Wall Emerson

International Journal of Orientation & Mobility, Volume 11 , ISSUE 1, 48–60

Article | 20-July-2021

Effectiveness of different psychological interventions in reducing fixed orthodontic pain: A systematic review and meta-analysis

were conducted with fixed or random effects models as appropriate. Statistical heterogeneity was also examined. The RevMan 5.3 software was used for data analysis. Results: A total of 472 articles were identified, from which nine RCTs were finally included. A meta-analysis revealed that after initial arch wire placement, cognitive behaviour therapy (CBT) and music therapy could significantly reduce pain within three days compared with a control group. In addition, there were no differences in pain

Chong Feng, Chenzhou Wu, Zhaowei Jiang, Linkun Zhang, Xizhong Zhang

Australasian Orthodontic Journal, Volume 35 , ISSUE 2, 195–209

Research Article | 03-January-2018

Patient-centric health-care data processing using streams and asynchronous technology

This paper describes a system in detail, which takes in depersonalized data collected by a patient medication management system, carries out reformatting and basic calculations on the data, then stores the resulting information into a database for retrieval, visualization, and further analysis. An investigation is also carried out to create a new way of developing a data analysis application that is efficient and simple to create/code, while avoiding the use of overly complicated libraries to

Kenneth Mbuthia, Jin Dai, Stavros Zavrakas, Jize Yan

International Journal on Smart Sensing and Intelligent Systems, Volume 11 , ISSUE 1, 1–18

Article | 07-May-2018

Application of Incremental Updating Association Mining Algorithm in Geological Disasters System

formula is compared with this frequency to get frequent item sets. Then, the confidence level is calculated for the combinations of different item sets in frequent item sets, and the correlation rules are obtained, and the correlation analysis of the rules is carried out to obtain a more realistic association rule. The inverted index tree updating association mining algorithm was applied to the data analysis of geological hazards monitoring system. One year data record of rainfall, groundwater level

Wang Jianguo, Zhu Ying

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 45–53

research-article | 30-November-2020

Diagnostic value of shear wave velocity in polycystic ovarian syndrome

to compare SWV values between PCOS and non-PCOS women. The secondary outcome measure was to compare the menstruation patterns, clinical properties, and laboratory and other ultrasonographic parameters between PCOS and non-PCOS women. Material and methods The study was designed as a retrospective data analysis of women who underwent vaginal US and ARFI in a university hospital between July 2014 and March 2015, for various reasons. There were 32 patients diagnosed with PCOS based on the Rotterdam

Turkan Gursu, Halime Cevik, Güldeniz Aksan Desteli, Birnur Yilmaz, Tevfik Berk Bildaci, Alper Eraslan

Journal of Ultrasonography, Volume 21 , ISSUE 87, 277–281

Article | 15-September-2020

An evaluation of design-based properties of different composite estimators

certain subclasses of the broader class of linear combinations of month-in-sample estimates. For each subclass, when Σ is known, the optimum estimator is obtained as a function of Σ. An estimated optimal estimator in each subclass is then obtained from the corresponding optimal estimator when Σ is replaced by an estimator. Neither the AK estimator nor the estimated optimal estimators for these subclasses performed well in our evaluation study. In our real life data analysis, the AK

Daniel Bonnéry, Yang Cheng, Partha Lahiri

Statistics in Transition New Series, Volume 21 , ISSUE 4, 166–190

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