Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Communications
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Letter to the Editor
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • critical-appraisal
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • in-memomoriam
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • non-scientific
  • Obituary
  • original-paper
  • original-report
  • Original Research
  • Pictorial Review
  • Position Paper
  • Practice Report
  • Preface
  • Preliminary report
  • Product Review
  • rapid-communication
  • Report
  • research-article
  • Research Communicate
  • research-paper
  • Research Report
  • Review
  • review -article
  • review-article
  • review-paper
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • serologic-method-review
  • short-communication
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • International Journal Advanced Network Monitoring Controls
  • Transport Problems
  • Architecture Civil Engineering Environment
  • Statistics In Transition

 

Research Article | 02-February-2017

REFERENCE CLASS FORECASTING IN ICELANDIC TRANSPORT INFRASTRUCTURE PROJECTS

Summary. Previous studies have indicated that the majority of infrastructure projects have cost overruns. The root causes are traced to political, technical and psychological reasons at the initial stage of the project. The consequence is either unintentional overoptimistic forecasting of perceived results or calculated interpretation of facts in favour of personal and political interests. These phenomena are called planning fallacies and strategic misrepresentation

Thordur Vikingur FRIDGEIRSSON

Transport Problems, Volume 11 , ISSUE 2, 103–115

Research paper | 31-October-2017

APPLICATION OF BOX-JENKINS METHOD AND ARTIFICIAL NEURAL NETWORK PROCEDURE FOR TIME SERIES FORECASTING OF PRICES

Forecasting of prices of commodities, especially those of agricultural commodities, is very difficult because they are not only governed by demand and supply but also by so many other factors which are beyond control, such as weather vagaries, storage capacity, transportation, etc. In this paper time series models namely ARIMA (Autoregressive Integrated Moving Average) methodology given by Box and Jenkins has been used for forecasting prices of Groundnut oil in Mumbai. This approach has been

Abhishek Singh, G. C. Mishra

Statistics in Transition New Series, Volume 16 , ISSUE 1, 83–96

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 | 01-December-2015

REAL-TIME FORECASTING METHOD OF URBAN AIR QUALITY BASED ON OBSERVATION SITES AND THIESSEN POLYGONS

This paper proposes a real-time urban air quality forecasting method based on monitoring sites and Thiessen polygon. Firstly, the concentration of pollutants affecting air quality is obtained through the real-time observations of the monitoring sites deployed in wireless sensor network, according to which the air quality index (AQI) can be calculated and air quality levels and categories can be graded. Then, Thiessen polygons are constructed based on the monitoring sites and the air quality

Xuefeng Liu, Fenxiao Ye, Yuling Liu, Xiange Xie, Jingjing Fan

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2065–2082

Article | 11-April-2018

Forecasting CSI 300 index using a Hybrid Functional Link Artificial Neural Network and Particle Swarm Optimization with Improved Wavelet Mutation

Financial market dynamics forecasting has long been a focus of economic research. A hybridizing functional link artificial neural network (FLANN) and improved particle warm optimization (PSO) based on wavelet mutation (WM), named as IWM-PSO-FLANN, for forecasting the CSI 300 index is proposed in this paper. In the training model, it expands a wider mutation range while apply wavelet theory to the PSO, in order to exploring the solution space more effectively for better parameter solution. In

Tian Lu, Zhongyan Li

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 173–178

Article | 14-July-2019

FORECASTING OF THE ROUTE NETWORK OF FERRY AND CRUISE LINES BASED ON SIMULATION AND INTELLIGENT TRANSPORT SYSTEMS

According to statistics, the marine passenger transportation sectors (both cruise lines and ferry lines) show a significant increase of passenger traffic and the intensity of ship routes. But new features of the conditions for passenger traffic growth require the development of new methodological transport models for cruise and ferry networks and new practical forecasting methods. Changes are observed in the fleet composition, mostly in the direction of increased. New approach for forecasting

Nikolai MAIOROV, Vladimir FETISOV, Srećko KRILE, Darijo MISKOVIC

Transport Problems, Volume 14 , ISSUE 2, 111–121

Research Article | 03-March-2021

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

Remal Shaher AlـGounmeein, Mohd Tahir Ismail

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

Research Article | 30-March-2017

RESEARCH OF TRAFFIC PREDICTION ACCURACY INFLUENCE ON THE EFFECTIVENESS OF TRAINS BREAKING-UP ORDER CONTROL

approaches, as well as costs associated with additional shunting work. With the help of simulation modeling the dependence was obtained, describing the impact of trains’ arrival forecasting error and processed car volumes on reducing operating costs of the marshalling yards through the trains’ breaking-up order control. The studies enable us to establish the requirements for the accuracy of information support of operational planning tasks, which is necessary to achieve the desired economic effect of the

Oleksandr BARDAS, Ihor SKOVRON, Yevhen DEMCHENKO, Andrii DOROSH

Transport Problems, Volume 12 , ISSUE 1, 151–158

Article | 23-March-2018

FORECASTING THE OPERATIONAL ACTIVITIES OF THE SEA PASSENGER TERMINAL USING INTELLIGENT TECHNOLOGIES

criteria of safety, reliability analysis, and the continuous research of passenger processing. For any modern marine passenger terminal, it is necessary to use the tool to simulate passenger flows in dynamics. Only in this way it is possible to obtain the analytical information and use it for decision making when solving the problem of the amount of personnel required for passenger service, transport safety, some forecasting tasks and so on. Of particular relevance is the choice of the mathematical

Srećko KRILE, Nikolai MAIOROV, Vladimir FETISOV

Transport Problems, Volume 13 , ISSUE 1, 27–36

Research Article | 15-February-2020

Modeling and Prediction of Surface Water Contamination using On-line Sensor Data

Water contamination is a great disadvantage to humans and aquatic life. Maintaining the aesthetics and quality of water bodies is a priority for environmental stake holders. The water quality sensor data can be analyzed over a period of time to give an indication of pollution incidents and could be a useful forecasting tool. Here we show our initial finding from statistical analysis on such sensor data from one of the lakes of the river Lea, south of Luton. Our initial work shows patterns which

Tochukwu K. Anyachebelu, Marc Conrad, Tahmina Ajmal

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

Research Article | 21-April-2017

MODELLING CHALLENGES TO FORECAST URBAN GOODS DEMAND FOR RAIL

This paper explores the new research challenges for forecasting urban goods demand by rail. In fact, the growing interest to find urban logistics solutions for improving city sustainability and liveability, mainly due to the reduction of urban road accessibility and environmental constraints, has pushed to explore solutions alternative to the road. Multimodal urban logistics, based on the use of railway, seem an interesting alternative solution, but it remained mainly at conceptual level. Few

Antonio COMI, Agostino NUZZOLO

Transport Problems, Volume 10 , ISSUE 4, 75–91

Article | 31-December-2020

THE INFLUENCE OF EXTERNAL ENVIRONMENT TO THE FERRY LINES AND MARINE PASSENGER TERMINALS

Marine passenger ports are integrated into the transport systems of cities and regions today. If there are sufficient developed mathematical forecasting models in the class of polynomial models, probability series, and a number of others, then the models describing the influence of the external environment on ferry market are not sufficient. The developed scheme of interaction between the participants of the cruise market and the mathematical model of the port as a technical system is presented

Srećko KRILE, Nikolai MAIOROV

Transport Problems, Volume 15 , ISSUE 4, Part 2, 203–214

Article | 28-August-2018

THE SIMULATION OF CORROSION DEGRADATION OF CONCRETE SPECIMEN IN STATIONARY HEAT AND MOISTURE CONDITIONS

This paper is focused on the problem of forecasting damage in reinforced concrete specimens as the consequence of chloride corrosion. The performed numerical calculations included time necessary for filling empty pore space and tightening corrosion products in the interfacial transition zone (ITZ) . In those calculations we assumed the formation of distortional strains in the ITZ layer caused by mass increase of corrosion products dependent on corrosion current intensity.

Faustyn RECHA, Tomasz JAŚNIOK, Tomasz KRYKOWSKI

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 4, 107–113

Article | 28-July-2018

GENERALIZED EXPONENTIAL SMOOTHING IN PREDICTION OF HIERARCHICAL TIME SERIES

Shang and Hyndman (2017) proposed a grouped functional time series forecasting approach as a combination of individual forecasts obtained using the generalized least squares method. We modify their methodology using a generalized exponential smoothing technique for the most disaggregated functional time series in order to obtain a more robust predictor. We discuss some properties of our proposals based on the results obtained via simulation studies and analysis of real data related to the

Daniel Kosiorowski, Dominik Mielczarek, Jerzy P. Rydlewski, Małgorzata Snarska

Statistics in Transition New Series, Volume 19 , ISSUE 2, 331–350

Letter | 08-December-2021

Towards a target employment rate within age and gender groups

Stanisław Jaworski, Zofia Zielińska-Kolasińska

Statistics in Transition New Series, Volume 22 , ISSUE 4, 213–225

Review | 06-August-2019

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

of three main modules [18]: Module I: Data preparation. Module II: Forecasting. Module III: Interpretation and application. Figure 2 shows the main elements of this model and the relationship between them. The entire process boils down to comparing the forecasted value of the cost-effectiveness index of the current regulations of the national environmental policy with the value of the cost-effectiveness indexes of the planned new instruments of the ecological policy (module interpretation and

Elzbieta BRONIEWICZ

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

Article | 30-November-2020

Research of Forecasting Information Time Delays with Nenural Network in Telecontrol System

advantages of online learning the state of the system, predictive control based on neural network has strong robustness to be adaptive to the change of system status and network delay aspects, it is a way to solve the network latency closed-loop control. V. MODEL PREDICTIVE CONTROL Model predictive control is according to the running state of the system over the past time and present moment, more accurate forecasting system desired output value in the future moment, calculated control value of the

Xu Shuping, Wu Jinfe, Su Xiaohui, Xiong Xiaodun

International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 1, 1–10

Article | 30-November-2018

Application of Wavelet Analysis in The Prediction of Telemetry Data

I. INTRODUCTION The prediction technology of spacecraft fault has been a hot research field. After 20 years development of prediction theory, until the discrete parameters of the linear model of a finite parameter linear model is proposed, and it is possible to combine the prediction theory with the computer. According to the different properties of the forecast, the forecasting methods are generally divided into two categories: time series forecasting and causal prediction. Time series

Jiangtao Xu, Pingping Liu

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 28–34

Research Article | 21-April-2017

Improving the system of warranty service of trucks in foreign markets

Irina MAKAROVA, Rifat KHABIBULLIN, Eduard BELYAEV, Artur BELYAEV

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

Research Article | 24-February-2017

DATA MINING WORKSPACE AS AN OPTIMIZATION PREDICTION TECHNIQUE FOR SOLVING TRANSPORT PROBLEMS

Summary. This article addresses the study related to forecasting with an actual high-speed decision making under careful modelling of time series data. The study uses data-mining modelling for algorithmic optimization of transport goals. Our finding brings to the future adequate techniques for the fitting of a prediction model. This model is going to be used for analyses of the future transaction costs in the frontiers of the Czech Republic. Time series prediction methods for the performance of

Anastasiia KUPTCOVA, Petr PRŮŠA, Gabriel FEDORKO, Vieroslav MOLNÁR

Transport Problems, Volume 11 , ISSUE 3, 21–31

research-article | 08-October-2021

FORECASTING THE TERRITORIAL-SPATIAL DEVELOPMENT OF THE SYSTEM OF CHILDREN’S MEDICAL COMPLEXES IN UKRAINE

1. INTRODUCTION A key issue of the current stage of development of urban theory in Ukraine is the need for effective and reliable forecasting of the dynamics of development urban systems, including the system of healthcare facilities [1, 2]. This is due to several factors, including lack of a clear development plan at the state level, complication and fragmentation of legal, property, socio-economic, demographic, and other relations and processes, increase in the number of private entities

Irina BULAKH

Architecture, Civil Engineering, Environment, Volume 14 , ISSUE 3, 5–15

Research Article | 01-June-2017

APPLICATION OF RADIAL BASIS FUNCTION NEURAL NETWORK TO PREDICT EXCHANGE RATE WITH
FINANCIAL TIME SERIES

The literature indicates that exchange rates are largely unforecastable from the fact that the overwhelming majority of studies have employed linear models in forecasting exchange rates. In this paper, we applied Radial Basis Function Neural Network (RBFNN) to predict exchange rate, motived by the fact that RBFNN have the ability to implicitly detect complex nonlinear relationships between dependent and independent variables as it “learns” the relationship inherent in the exchange rate data

AI SUN, JUI-FANG CHANG

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 2, 308–326

Article | 31-December-2020

INNOVATION IN THE WINTER ROAD MAINTENANCE AND ITS ECONOMIC JUSTIFICATION

In general, it can be presented that winter road maintenance costs are rising due to increasing mobility, rising of salaries, and technological needs. For this reason, it is necessary to bring innovations into these processes. The greatest space is in the area of weather forecasting, which is a trigger for maintenance activities in the form of reducing black ice or snow removal. Road administrators use predictive services as a standard to obtain critical atmospheric temperature and weather data

Stefan SEDIVY, Zuzana FLORKOVA, Gabriel GASPAR, Juraj DUDAK, Peter FABO

Transport Problems, Volume 15 , ISSUE 4, Part 2, 253–264

Research Article | 21-April-2017

RESEARCH OF IMPACT OF THE LOADING ON ENDURANCE OF THE FREIGHT LOCOMOTIVE ENGINES

The publication reflects the research results of the rationalization of the rolling stock use of JSC LG Lithuanian railways to increase the reliability indicators of the freight diesel locomotive exploitation reliability. The comparative evaluation of the exploited freight diesel locomotive work duration, according to the technical documentation, by using comparative test results and indirect diesel reliability criteria approved in practice. An algorithm of work duration forecasting methodology

Sergejus LEBEDEVAS, Galina LEBEDEVA, Stasys DAILYDKA, Gediminas VAIČIŪNAS

Transport Problems, Volume 10 , ISSUE 4, 45–55

Article | 24-March-2018

REINFORCEMENT OF COMPOSITE PIPELINES FOR MULTIPURPOSE TRANSPORTATION

obtained while gluing glass fibers with butvar-phenolic glue. The calculated rupture strength coefficient of strip fiberglass reinforcement and the analysis of monolithic behaviour of metal and reinforcement proved the precondition as to the plasticity of a developed material. The process of force transmission between a steel pipe and fiberglass at ductile stage has been analyzed in the article. While forecasting the work of a pipe on-load, it is necessary to take into account nonlinearity of metal

Liudmyla TRYKOZ, Svetlana KAMCHATNAYA, Oksana PUSTOVOITOVA, Armen ATYNIAN

Transport Problems, Volume 13 , ISSUE 1, 69–79

Article | 18-June-2020

PROBLEMS OF ANALYST COMPETENCY FORMATION FOR MODERN TRANSPORT SYSTEMS

into account many different factors, process large amounts of information and solve multi-criteria tasks in transport companies for all management functions. Creation of digital analytical competency for transportation systems represents a new direction of the educational and training programs that must include courses in modern assessment and forecasting methods, big data operation, machine learning, neuron networks and other approaches in artificial intelligence area. This article describes a new

Svetlana LYAPINA, Valentina TАRASOVA, Marina FEDOTOVA

Transport Problems, Volume 15 , ISSUE 2, 71–82

Article | 15-March-2021

ROAD TRAFFIC DISTRIBUTION ON PUBLIC HOLIDAYS AND WORKDAYS ON SELECTED ROAD TRANSPORT NETWORK ELEMENTS

for the determination of a number of measures and parameters assessing traffic conditions prevailing on the elements of transport networks. Knowledge and understanding of changes in the distribution of traffic volume during a day are crucial for many aspects of transport engineering, such as road traffic control, road safety, and forecasting the traffic volume. This article evaluates the differences in the road traffic volume distributions during the day between public holidays and working days

Elżbieta MACIOSZEK, Agata KUREK

Transport Problems, Volume 16 , ISSUE 1, 127–138

Article | 24-December-2021

INFRASTRUCTURE CHANGES OF THE SEA PASSENGER PORT BASED ON A DIGITAL TRANSPORT MODEL

influence of the external environment. These models should answer development forecasting questions and provide an accurate decision-making system for the validity of infrastructure changes. The Passenger Port of Saint Petersburg "Marine Façade” (St. Petersburg) was chosen as the subject of research. To construct a numerical model, port operation intensity, passenger, cruise and ferry vessel handling processes were investigated; port and terminal development strategies and the mutual

Srećko KRILE, Nikolai MAIOROV

Transport Problems, Volume 16 , ISSUE 4, 207–216

Research Communicate | 22-January-2018

IMPROVEMENT OF FUZZY MORTALITY MODELS BY MEANS OF ALGEBRAIC METHODS

The forecasting of mortality is of fundamental importance in many areas, such as the funding of public and private pensions, the care of the elderly, and the provision of health service. The first studies on mortality models date back to the 19th century, but it was only in the last 30 years that the methodology started to develop at a fast rate. Mortality models presented in the literature form two categories (see, e.g. Tabeau et al., 2001, Booth, 2006) consisting of the so-called static or

Andrzej Szymański, Agnieszka Rossa

Statistics in Transition New Series, Volume 18 , ISSUE 4, 701–724

No Record Found..
Page Actions