Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • Obituary
  • original-paper
  • 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
  • Sampling Methods
  • Scientific Commentary
  • short-communication
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • Polish Journal Of Microbiology
  • International Journal Advanced Network Monitoring Controls
  • Architecture Civil Engineering Environment
  • Transport Problems
  • Journal Of Ultrasonography
  • Statistics In Transition

 

Article

A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS

The Swarm Intelligence is a new and modern method employed in optimization problems. The Swarm Intelligence method is based on the en masse movement of living animals like birds, fishes, ants and other social animals. Migration, seeking for food and fighting with enemies are social behaviors of animals. Optimization principle is seen in these animals. The Artificial Fish Swarm Optimization (AFSA) method is one of the Swarm Intelligence approaches that works based on the population and

Mehdi Neshat, Ali Adeli, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Najaran Toosi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 108–148

Article

A KRIGING-BASED UNCONSTRAINED GLOBAL OPTIMIZATION ALGORITHM

Efficient Global Optimization (EGO) algorithm with Kriging model is stable and effective for an expensive black-box function. However, How to get a more global optimal point on the basis of surrogates has been concerned in simulation-based design optimization. In order to better solve a black-box unconstrained optimization problem, this paper introduces a new EGO method named improved generalized EGO (IGEGO), in which two targets will be achieved: using Kriging surrogate model and guiding the

Yaohui Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 927–952

Article

Research on Wireless Sensor Network Coverage Based on Improved Particle Swarm Optimization Algorithm

In order to improve the network coverage, this paper presents the research on wireless sensor network coverage based on improved particle swarm optimization algorithmfor wireless sensor nodes that are randomly deployed in a certain area.In this paper, we use the regional network coverage as the target objective function, and combine various improved particle swarm optimization algorithms to optimize the deployment location of all nodes to enhance the area coverage. The experimental results show

Li Changxing, Zhang Qing, Zhang Long-yao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 20–25

Article

VALVE BARREL POSITION CONTROL BASED ON SELF-TUNING FUZZY PID WITH PARTICLE SWARM OPTIMIZATION

This paper introduced the self-tuning fuzzy PID controller based on particle swarm optimization which aims to gain more precise control over the position of pneumatic proportional valve barrel, where particle swarm works to optimize the membership function, fuzzy rule and PID parameter in fuzzy control. The study fruits also include online optimization of the self-tuning fuzzy PID controller parameters. Comparing to the conventional control methodology, The self-tuning fuzzy PID controller with

Zhang Haiyan, Song Lepeng, Dong Zhiming

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1497–1515

Article

OPTIMIZATION OF TRUSSES WITH SELF-ADAPTIVE APPROACH IN GENETIC ALGORITHMS

This paper presents a genetic algorithm method for the optimization of the weight of steel truss structures. In the method of genetic algorithm integer encoding of a discrete set of design variables and novel self-adaptive method based on fuzzy logic mechanism are applied for improving the quality and speed of optimization. Self-adaptive method is applied simultaneously in the selection of chromosomes and to control basic parameters of genetic algorithm. The algorithm proposed in the work was

Krzysztof GRYGIEREK

Architecture, Civil Engineering, Environment , ISSUE 4, 67–78

Article

PARAMETERS OPTIMIZATION OF PASSIVE VEHICLE SUSPENSION BASED ON INVARIANT POINTS THEORY

Two methods for parameters optimization of traditional passive suspension based on the invariant point theory are presented in this paper. Firstly, the two degree-of-freedom dynamical model for a quarter vehicle suspension is established. Then all the invariant points for the acceleration of vehicle body, suspension deformation, and tire displacement are obtained through the invariant equation associated with Laplace transform. Secondly, two optimization methods for the system parameters

Yongjun Shen, Shaopu Yang, Jin Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2182–2199

Article

OPTIMAL ANALOG WAVELET BASES CONSTRUCTION USING HYBRID OPTIMIZATION ALGORITHM

An approach for the construction of optimal analog wavelet bases is presented. First, the definition of an analog wavelet is given. Based on the definition and the least-squares error criterion, a general framework for designing optimal analog wavelet bases is established, which is one of difficult nonlinear constrained optimization problems. Then, to solve this problem, a hybrid algorithm by combining chaotic map particle swarm optimization (CPSO) with local sequential quadratic programming

Hongmin Li, Yigang He, Yichuang Sun

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1918–1942

Article

AN IMPROVED MULTI-OBJECTIVE EVOLUTIONARY OPTIMIZATION ALGORITHM FOR SUGAR CANE CRYSTALLIZATION

The nature of optimization for intermittent sugar cane crystallization process is to obtain ideal crystals. One typical difficulty in crystallization optimization refers to the simultaneous effects of both seeding characters and process variables on the final crystal size distribution (CSD) parameters, including mean size (MA) and coefficient of variation (CV). And the application of traditional multi-objective evolutionary algorithm in crystallization process could not optimize all of them

Yanmei Meng, Wenxing Li, Qingwei Chen, Xian Yu, Kangyuan Zheng, Guancheng Lu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 953–978

Article

Seven-spot Ladybird Optimization Algorithm Based on Bionics Principle

For solving the problems of modern intelligence algorithms such as slow convergence and low precision, a new algorithm based on bionics principle has been proposed which is inspired by the foraging behavior of seven-spot ladybirds in the nature. By analyzing the bionic principle of Seven-spot ladybird Optimization(SLO), we simulate the region search pattern of predation of seven-spot ladybirds ,combining fast extensive search with careful and slow intensive search of the ladybirds,meanwhile we

Wei Feng-tao, Lu Feng-yi, Zheng Jian-ming

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 49–58

Research Article

Topology Optimization Control with Balanced Energy and Load in Underwater Acoustic Sensor Networks

In view of unbalanced link bandwidth and node energy consumption in Underwater Acoustic Sensor Networks (UASNs), a distributed topology optimization control algorithm (EL-BatCA) is proposed, which is based on balanced network energy and load. A hierarchical network model is designed based on minimum-hop, by which the nodes are divided into n layers. EL-BatCA is implemented through three stages-topology graph formation in initialization, an innovative transmission power adjustment in topology

Wenyan Fu, Deshi Li, Jian chen, Yanyan Han, Jugen Nie

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 138–159

Article

Design of Routing Protocol and Node Structure in Wireless Sensor Network based on Improved Ant Colony Optimization Algorithm

Wireless sensor network is composed of many wireless sensor nodes with the same or different functions. A typical sensor node consists of four parts: sensor unit, information processing unit, wireless communication unit and energy supply unit. In this paper, the existing ant colony algorithm is analyzed, and an improved ant colony optimization algorithm is proposed. The paper presents design of routing protocol and node structure in wireless sensor network based on improved ant colony

Yan Song, Xiaomei Yao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 168–172

research-article

COAGULANT COST OPTIMIZATION FOR SURFACE WATER COAGULATION PROCESS

1. INTRODUCTION Surface waters are characterized by a great variability in composition over the course of the year, and additionally the type and amount of contaminants in surface waters is dependent on the region of the world and types of industries present near the water uptake [1-3]. Due to this, tailoring the process to local conditions, or optimization, is so important. The interest in this process has not waned throughout several decades, which results from its use for both water

Małgorzata WOLSKA, Marek MOŁCZAN, Anna SOLIPIWKO-PIEŚCIK, Halina URBAŃSKA-KOZŁOWSKA

Architecture, Civil Engineering, Environment , ISSUE 3, 153–161

Article

Cluster-based Routing Performance Optimization Constraint of Energy, Delay and Connectivity Metrics in Wireless Sensor Network

This paper aims to propose a framework for optimizing performance in cluster-based wireless sensor networks (WSNs) with constrains of energy consumption, delay and connectivity. For the limitation of energy storage being discussed a lot, many researches try to find more solutions to improve it. But, the other index of wireless sensor networks may be deteriorated by many routings which are dedicated to optimizing energy consumption. Thereby, multi-objectives optimization is one of significant

Ting CAO, Yuhao WANG, Xinmin XIONG, Yan HAO

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2103–2118

Article

Multi Objective Optimization of Virtual Machine Migration Placement Based on Cloud Computing

How to improve the resource utilization of the cloud computing system has been one of the key content of the research of the cloud computing. The traditional multi-objective ant colony optimization was improved, studied the virtual machine live migration framework, combined with the elimination method to solve virtual machine migration and placement of multi-objective optimization problem, the load balanced specific strategies are integrated into the framework of a dynamic migration, simulation

Sun Hong, Tang Qing, Xu Liping, Chen Shiping

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 120–129

Article

PERFORMANCE ANALYSIS OF PATIENT SPECIFIC ELMAN-CHAOTIC OPTIMIZATION MODEL FOR FUZZY BASED EPILEPSY RISK LEVEL CLASSIFICATION FROM EEG SIGNALS

This paper aims to analyze the optimization of Epilepsy risk levels from EEG signals using Fuzzy based Elman-Chaotic Optimization. The EEG (Electroencephalogram) signals of twenty patients are collected from Sri Ramakrishna Hospitals at Coimbatore. The raw EEG signals are sampled and various parameters like energy, energy, variance, peaks, sharp and spike waves, duration, events and covariance. The fuzzy techniques are applied as a first level classifier to classify the risk levels of epilepsy

Dr.R HariKumar, T. Vijayakumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 612–635

Review

MULTI-VARIABLE OPTIMIZATION MODELS FOR BUILDING ENVELOPE DESIGN USING ENERGYPLUS SIMULATION AND METAHEURISTIC ALGORITHMS

interactions among the design variables. Therefore, starting from the 1990s, numerical optimizations and/or simulation-based optimizations [5] are adopted more and more frequently, also thanks to the very rapid diffusion of the computer science. A numerical optimization methodology can be defined as an iterative procedure that provides progressive improvements of the solution until the achievement of a suboptimal configuration (the “actual optimal” is normally unknown) [6–8]. In the last years, many

Krzysztof GRYGIEREK, Joanna FERDYN-GRYGIEREK

Architecture, Civil Engineering, Environment , ISSUE 2, 81–90

Article

EVALUATION OF HYBRID TRUST MODELS USING ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSNs) are prone to various kinds of threats and are subjected to several constraints like energy, communication overhead and lifetime. Application of bio-inspired algorithms based trust models has shown significant improvement in the security mechanism of the wireless sensor networks. This paper presents a brief survey on application of Ant Colony Optimization (ACO) and significance of trust models in WSNs. ACO application in routing, increase in lifetime, energy

G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1243–1260

Article

A NEW KIND OF PSO: PREDATOR PARTICLE SWARM OPTIMIZATION

Today, swarm intelligence is widely used in optimization problems. PSO is one the best swarm intelligence methods. In the method, each particle moves toward the direction in which the best individual and group experience has happened. The most important disadvantage of this method is that it falls in local optima. To fix the problem, a metaheuristic method is proposed in this paper. There has always been a competition between prey and predator in the nature. Little birds often fly in a colony

Mehdi Neshat, Mehdi Sargolzaei, Azra Masoumi, Adel Najaran

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 521–539

Article

OPTIMIZATION OF WINDOW SIZE DESIGN FOR DETACHED HOUSE USING TRNSYS SIMULATIONS AND GENETIC ALGORITHM

building orientation has been analysed. Optimal selection of these parameters for reduction of the energy consumption has been carried out. Genetic algorithms were used for the optimization, while TRNSYS program was used for energy analysis. The analyses were performed on an exemplary single family detached house. Self-adaptive genetic algorithm connected with energy building simulation successfully identifies the lowest energy costs. Optimal window type and size design and window orientation reduce

Joanna FERDYN-GRYGIEREK, Krzysztof GRYGIEREK

Architecture, Civil Engineering, Environment , ISSUE 4, 133–140

Research Article

RANGED SUBGROUP PARTICLE SWARM OPTIMIZATION FOR LOCALIZING MULTIPLE ODOR SOURCES

A new algorithm based on Modified Particle Swarm Optimization (MPSO) that follows is a local gradient of a chemical concentration within a plume and follows the direction of the wind velocity is investigated. Moreover, the niche or parallel search characteristic is adopted on MPSO to solve the multi-peak and multi-source problem. When using parallel MPSO, subgroup of robot is introduced then each subgroup can locate the odor source. Unfortunately, there is a possibility that more that one

W. Jatmiko, W. Pambuko, A. Febrian, P. Mursanto, A. Muis, B. Kusumoputro, K. Sekiyama, T. Fukuda

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 411–442

Article

ADAPTIVE MOBILE ANCHOR LOCALIZATION ALGORITHM BASED ON ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

In wireless sensor networks (WSNs), node’s locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In this paper, we propose an adaptive mobile anchor localization algorithm based on ant colony optimization , firstly, some virtual anchor nodes are distributed in the area, second, ant colony was used which has the maximum of transition probabilities to obtain the optimal path, last, the centroid-weighted localization algorithm was proposed to

Yan Hong Lu, Ming Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1943–1961

Article

Optimization of Matching on Torque Converter with Engine Based on Improved Radar Chart Method

based on the improved radar map method. The objective function was constructed based on the sum of each evaluation index and the perimeter of radar map. With a hydraulic torque converter of ZL50 loader as an example, the effective diameter of circular circle on hydraulic torque converter was optimized in view of the shovel loading cycle condition. The original size of torque converter effective diameter was 0.340 m. After optimization, the effective diameter of hydraulic torque converter was 0.350 m

Zhenbao Wang, Sicheng Qin

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 76–79

Research Article

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 , ISSUE 4, 35–43

Article

Equivalence on Quadratic Lyapunov Function Based Algorithms in Stochastic Networks

Quadratic Lyapunov function based Algorithms (QLAs) for stochastic network optimization problems, which are cross-layer scheduling algorithms designed by Lyapunov optimization technique, have been widely used and studied. In this paper, we investigate the performance of using Lyapunov drift and perturbation in QLAs. By analyzing attraction points and utility performance of four variants of OQLA (Original QLA), we examine the rationality of OQLA for using the first-order part of an upper bound

Li Hu, Gao Lu, Liu Jiaqi, Wang Shangyue

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 179–185

Article

MODIFICATION OF PARTICLE SWARM OPTIMIZATION BY REFORMING GLOBAL BEST TERM TO ACCELERATE THE SEARCHING OF ODOR SOURCES

Particle Swarm Optimization (PSO) has been widely utilized for Odor Source Localization (OSL) purposes.There have been plenty of researches on this field. The latest research to modify original PSO were on the utilization of wind dynamics. In wind utilization research, the robot movement would be retarded if the robot movement direction is similar to the wind direction. Conform to the aforementioned method, this research proposed new modification on the global best term of PSO algorithm. There

D. Widiyanto, D. M. J. Purnomo, G. Jati, Aprinaldi Jasa Mantau, W. Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1410–1430

Article

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 , ISSUE 3, 173–178

Article

OPPOSITION-BASED LEARNING PARTICLE SWARM OPTIMIZATION OF RUNNING GAIT FOR HUMANOID ROBOT

This paper investigates the problem of running gait optimization for humanoid robot. In order to reduce energy consumption and guarantee the dynamic balance including both horizontal and vertical stability, a novel running gait generation based on opposition-based learning particle swarm optimization (PSO) is proposed which aims at high energy efficiency with better stability. In the proposed scheme of running gait generation, a population initiation policy based on domain knowledge is employed

Liang Yang, Song Xijia, Chunjian Deng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1162–1179

Research Article

KASTOR – A VEHICLE AND CREW SCHEDULING SYSTEM FOR REGULAR BUS PASSENGER TRANSPORT

computerized vehicle and crew optimization systems. This paper describes a computer system KASTOR developed for vehicle and crew optimization, which complies with the special requirements of Czech and Slovak bus providers, and is significantly different from those in some west European countries.

Stanislav PALÚCH, Tomáš MAJER

Transport Problems , ISSUE 1, 103–110

Research Article

New approach in definition of multi-stop flight routes

Optimization and profitability approaches play a crucial and central role in airline industry today. The main problem is how to overcome complexity by providing effective route schedule with minimal empty seats. So we need capable tools to re-optimize existing flight routes or to offer new one instead. This research deals about the efficient heuristic algorithm for optimal transportation of N different passenger contingents between ending points. We want to find out better transport plan with

Srećko KRILE, Marina KRILE

Transport Problems , ISSUE 1, 87–96

Article

UNMANNED AERIAL VEHICLE PATH PLANNING BASED ON TLBO ALGORITHM

Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and shorter route can be found. Finally experimental comparison results show that TLBO algorithm is a

Guolin Yu, Hui Song, Jie Gao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1310–1325

Research Article

LabVIEW Based Characterization and Optimization of Thermal Sensors

Nasrin Afsarimanesh, Pathan Zaheer Ahmed

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 726–739

Article

Research on Digital Modeling and Optimization of Virtual Reality Scene

. The optimization design of three-dimensional model 1)Building geometry model optimization In the virtual campus system, the model is built based on the classification of the school buildings' appearance and structure.The same model is adopted for the buildings with the same appearance or structure and the relatively complex model is simplified through the splitting methodbefore modeling is carried out. In building modeling, the geometric model includes both the top and the wall. The wall can be

Wenjing Xu, Pingping Liu, Zhaopan Lu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 69–76

Article

CURRENT SITUATION AND OPTIMIZATION OF INLAND WATERWAY INFRASTRUCTURE FINANCING

This paper explores and summarizes the experience of financing water transport infrastructure of a number of countries with developed network of inland waterways, namely the USA, Russia and Germany. The purpose of the work is to generalize current situation and find ways of optimization of inland waterway transport infrastructure financing. The first part of the paper analyses the state of inland waterways infrastructure. The next part describes the existing financing systems. The last part

Svetlana MILOSLAVSKAYA, Elena PLOTNIKOVA

Transport Problems , ISSUE 3, 51–63

Research Article

A METHODOLOGY FOR THE OPTIMIZATION OF MULTI-PROGRAM SHARED SCRATCHPAD MEMORY

J. F. Yang, H. Jiang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–20

Research Article

SELF-TUNING FUZZY SPEED CONTROLLER OF TRAVELLING WAVE ULTRASONIC MOTOR

fuzzy controller become a sophisticated task. In this paper, the design method of fuzzy controller based on fuzzy model is described in detail. Rules of the fuzzy controller are optimized offline using ant colony optimization, and the appropriate parameters of fuzzy controller are also ascertained during the process of optimization. The designed controller is used to control the rotating speed of traveling wave ultrasonic motor with the type of USR60. According to the difference between the actual

Jingzhuo Shi, Juanping Zhao, Zhe Cao, Yunpeng Liang, Lan Yuan, Bin Sun

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 301–320

Article

OPTIMIZATION OF PERIODIC UNITARY ONLINE SCHEDULE OF TRANSPORT TASKS OF HIGHWAY ROAD TRAINS

The paper is devoted to the problem of optimization of transport tasks’ execution schedule. The exploitation of a group of interdependent highway road trains is considered. The task differs from the known ones by limitations of the duration of a cycle within which a maximum number of goods transportation orders must be fulfilled. There are also limited intervals of time when loading and unloading of vehicles is permitted at appropriate points of a transport network. The solution of the

Myroslav OLISKEVYCH

Transport Problems , ISSUE 1, 111–122

Research Article

MICRO-GENERATOR DESIGN FOR SMART GRID SYSTEM (COMPARATIVE STUDY)

High Speed PM Generators driven by micro-turbines are widely used in Smart Grid System. So, this paper proposes comparative study among six classical, optimized and genetic analytical design cases for 400 kW output power at tip speed 200 m/s. These six design trials of High Speed Permanent Magnet Synchronous Generators (HSPMSGs) are: Classical Sizing; Unconstrained optimization for total losses and its minimization; Constrained optimized total mass with bounded constraints are introduced in the

Adel El Shahat, Ali Keyhani, Hamed El Shewy

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 176–216

Article

ROBOT-ASSISTED THERAPY: DESIGN, CONTROL AND OPTIMIZATION

Haifa Mehdi, Olfa Boubaker

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1044–1062

Article

A STUDY ON OPTIMIZATION METHODS OF X-RAY MACHINE RECOGNITION FOR AVIATION SECURITY SYSTEM

Ning Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1313–1332

Research Article

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 , ISSUE 3, 21–31

Article

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 , ISSUE 2, 526–536

Research Article

A VIABLE CAPACITIVE APPROACH FOR DAMAGE DETECTION OF AIRCRAFT COMPOSITE MATERIAL

optimization for the structure parameters of the sensor with 8electrodes is carried out. According to the optimization, a uni-planar capacitive sensor, with 8-electrode on one plane substrate and a ground screen electrode and the screen between electrodes, is designed to get the corresponding capacitance information of the measured composite material slab. 2 aircraft composite material slabs, one is healthy and the other is notched, are used as a sample for the experiment of detecting the damages. The

Dong Ensheng, Jiang Yilin, Guo Wei, Yu Xiangbin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 209–228

Article

A STUDY OF COST AND EMISSIONS CONSIDERING SPEED OPTIMIZATION IN TRANS EURASIA TRANSPORTATION BASED ON INTELLIGENT TRANSPORTATION

a useful tool in providing efficient, environmentally friendly and safe transportation systems within inland and shipping. The paper focus on the selection and cooperative process between the shipping and railway, and discusses the cost and emissions by speed optimization for international shipping and railway transport aiming to select effective and environmental transportation mode based on ITS infrastructure. Firstly this paper reviews ITS and investigates the relationship of cost and speed

Xu Dongmin, Dingyi, Huang Youfang, Yang Bin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 191–214

Research Article

A design of PID controllers using FRIT-PSO

This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (PSO-FRIT) method to design PID controllers for control systems. The proposed method is an offline PID parameter tuning method and it is not necessary to derive any mathematical models of objected control systems. The proposed method is demonstrated by comparing with the FRIT method in numerical examples.

Takehito Azuma, Sohei Watanabe

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Original Paper

Characterization and Optimization of Biosynthesis of Bioactive Secondary Metabolites Produced by Streptomyces sp. 8812

Aleksandra Rajnisz, Adam Guśpiel, Magdalena Postek, Joanna Ziemska, Anna Laskowska, Daniel Rabczenko, Jolanta Solecka

Polish Journal of Microbiology , ISSUE 1, 51–61

Article

A METHOD TO DESIGN PID CONTROLLERS USING FRIT-PSO

This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) method to design PID controllers for feedback control systems. The proposed method is an offline PID parameter tuning method. Moreover it is not necessary to derive any mathematical models of objected control systems. The proposed method is demonstrated by comparing with the FRIT method in numerical examples and an experiment.

Takehito Azuma

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1876–1895

Article

OPTIMIZATION OF THE POSITION OF THE LOCAL DISTRIBUTION CENTRE OF THE REGIONAL POST LOGISTICS NETWORK

Paweł DROŹDZIEL, Monika WIŃSKA, Radovan MADLEŇÁK, Paweł SZUMSKI

Transport Problems , ISSUE 3, 43–50

Article

A NETWORK DESIGN OPTIMIZATION PROBLEM FOR RO-RO FREIGHT TRANSPORT IN THE TYRRHENIAN AREA

Gianfranco FANCELLO, Patrizia SERRA, Simona MANCINI

Transport Problems , ISSUE 4, 63–76

Article

INTELLIGENT NEURAL NETWORK CONTROL STRATEGY OF HYDRAULIC SYSTEM DRIVEN BY SERVO MOTOR

that the controller and its optimization algorithm can effectively improve the system performance, and the system has no steady-state error, good dynamic performance and good robustness, superior to conventional fuzzy controller and PID controller.

Ma Yu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1406–1423

Research Article

A GIS BASED GRAPH ORIENTED ALGORITHMIC MODEL FOR POLY-OPTIMIZATION OF WASTE MANAGEMENT SYSTEM

Krzysztof GASKA, Agnieszka GENEROWICZ, Izabela ZIMOCH, Józef CIUŁA, Dariusz SIEDLARZ

Architecture, Civil Engineering, Environment , ISSUE 4, 151–159

Article

L-SHAPED CANTILEVER PARALLEL - PLATE MEMS ACCELEROMETER DESIGN PARAMETERS USING A GRAVITATIONAL SEARCH ALGORITHM

Due to their small size, low weight, low cost and low energy consumption, MEMS (Micro Electro-Mechanical Systems) accelerometers have achieved great commercial success in recent decades. The objective of this paper is to find the optimum design for a typical MEMS accelerometer, which satisfies a set of given constraints. Due to the complex nature of the problem, a gravitational search algorithm (GSA) is developed for optimization. The GSA attempts to optimize the inter-plate gap while

Souad Oukil, Abdelmadjid Boudjemai, Nabil Boughanmi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 65–89

Article

COORDINATION OF LOCOMOTIVES TURNOVER AND SERVICING MODES

A coordinated calculation of two processes – locomotives turnover and servicing – is described. Locomotives turnover is calculated by optimization system Labyrinth and servicing by dynamic transportation problem. Service programs integrate these processes. A model of coordinated arrival of locomotives at servicing stations is proposed. The calculation consists of three interrelated steps. The first step is the calculation of the optimal locomotive turnover without considering

Petr KOZLOV, Elena TIMUKHINA, Nikolay TUSHIN

Transport Problems , ISSUE 1, 19–26

Research paper

STOCHASTIC GOALS IN FINANCIAL PLANNING FOR A TWO-PERSON HOUSEHOLD

the optimization task are consumption-investment proportion and division of household investments between household members.

Radosław Pietrzyk, Paweł Rokita

Statistics in Transition New Series , ISSUE 1, 111–136

Article

A NOVEL HYBRID LOCALIZATION METHOD FOR WIRELESS SENSOR NETWORK

Wireless sensor network is a kind of brand-new information acquisition platform, which is realized by the introduction of self-organizing and auto-configuration mechanisms. Node localization technology represents a crucial component of wireless sensor network. In this paper, a localization method based on kernel principal component analysis and particle swarm optimization back propagation algorithm is carefully discussed. First of all, taking KPCA as the front-end system to extract the main

Wang Jun, Zhang Fu, Ren Tiansi, Chen Xun, Liu Gang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1323–1340

Original Paper

The Ability of a Novel Strain Scheffersomyces (Syn. Candida) shehatae Isolated from Rotten Wood to Produce Arabitol

to produce arabitol from L-arabinose, glucose, and xylose. This isolate, cultured at 28°C and 150 rpm, secreted 4.03 ± 0.00 to 7.97 ± 0.67 g/l of arabitol from 17–30 g/l of L-arabinose assimilated from a medium containing 20–80 g/l of this pentose with yields of 0.24 ± 0.00 to 0.36 ± 0.02 g/g. An optimization study demonstrated thatpH 4.0, 32°C, and a shaking frequency of 150 rpm were the optimum conditions for arabitol production by the

Monika Kordowska-Wiater, Adam Kuzdraliński, Tomasz Czernecki, Zdzisław Targoński, Magdalena Frąc, Karolina Oszust

Polish Journal of Microbiology , ISSUE 3, 335–343

research-article

Employment of PSO algorithm to improve the neural network technique for radial distribution system state estimation

Nomenclatures SE state estimation PS power system PSN power system networks PSO–NN particle swarm optimization–neural network DPN distribution power network RDPSNs radial distribution power system networks DMS distribution management system GTP graph theoretic procedure algorithm DSSE distribution system state estimation model WLS weighted least square WLAV weighted least absolute value PMUs phasor measurement units ANN artificial neural network

Husham Idan Hussein, Ghassan Abdullah Salman, Ahmed Majeed Ghadban

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–10

Article

Application of Wireless Return Topology Planning Based on K-Means

, the maximum access number of sub-stations is 12, covering a wider range, so butterfly station should be selected as the host station as far as possible. In real life, the deployment of the site is usually partitions, according to the “division”, “local optimum, and the thought of” step by step optimization”, first by using K Means clustering algorithm, all the site is divided into K classes, each kind of belonging to a satellite, then each category divided into n host station tribal groups, the

Weixia Yang, He Li, Yuan Chen, Fei Xu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 61–68

Article

Multi - point Cooperative Multicast Video Design and Research

based on network coding and multi-access point collaboration. The program will first divide each video segment into the same segment and divide the access point completely and not completely interfere with the two models. The video multicast problem when the transmission range between the access points is overlapped is modeled as Linear programming optimization problem, a two-stage heuristic algorithm is designed to solve the problem. By using multiple access points to get the gain of space and time

Wang Tao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 72–75

Article

FPGA BASED MAXIMUM POWER POINT TRACKER OF PARTIALLY SHADED SOLAR PHOTOVOLTAIC ARRAYS USING MODIFIED ADAPTIVE PERCEPTIVE PARTICLE SWARM OPTIMIZATION

The paper presents a Field Programmable Gate Array (FPGA) based tracker to accurately track the maximum power point (MPP) of a photovoltaic (PV) array. The tracking logic realized on FPGA is based on a modified version of Adaptive Perceptive Particle Swarm Optimization (APPSO) technique. Photovoltaic generation systems use MPP tracker because the photovoltaic array exhibits multiple maxima in the power voltage characteristic under partially shaded conditions. Compared to PSO, the APPSO offers

Shubhajit Roy Chowdhury, Dipankar Mukherjee, Hiranmay Saha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 661–675

Article

A Disparateness-Aware Scheduling using K-Centroids Clustering and PSO Techniques in Hadoop Cluster

, and network time. By integrating these three parameters, the optimized fitness function is employed for Particle Swarm Optimization (PSO) to select the computing node. Failure may occur after completion of the successful execution in the network. To improve the fault tolerance service, the migration of the cluster is focused on the particular failure node. This can recomputed the node by PSO and the corresponding optimal node is predicted. The experimental results exhibit better scheduling length

E. Laxmi Lydia, M.Ben Swarup

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 34–46

Article

PSO ALGORITHM FOR SINGLE AND MULTIPLE ODOR SOURCES LOCALIZATION PROBLEMS: PROGRESS AND CHALLENGE

known as Particle Swarm Optimization (PSO) to solve these problems. The experiment conducted using PSO shows that PSO able to localize the odor source in the same condition where single agent failed. However, PSO still need to be modified before it can be use widely. This paper shows modification that has been proposed by the authors to enhance it’s ability. The research also has been push to solve multiple odor sources using parallel localization. To verify proposed method, software simulator was

W. Jatmiko, F. Jovan, R.Y.S. Dhiemas, M.S. Alvissalim, A. Febrian, D. Widiyanto, D.M.J. Purnomo, H.A. Wisesa, T. Fukuda, K. Sekiyama

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1431–1478

Research Article

ERROR MODELING AND COMPENSATION OF 3D SCANNING ROBOT SYSTEM BASED ON PSO-RBFNN

In order to improve the measurement accuracy of three-dimensional (3D) scanning robot, a method of 3D scanning robot system error modeling and compensation based on particle swarm optimization radial basis function neural network (PSO-RBFNN) is proposed to achieve intelligent compensation of measurement error. The structure, calibration and error modeling process of 3D scanning robot system are mainly described. Cleverly using the iterative closest point (ICP) algorithm to construct

Jianhong Qi, Jinda Cai

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 837–855

Article

The Application of Improved PSO Algorithm in the Geometric Constraint Solving

Geometric constraint solving is a hot topic in the constraint design research field. Particle swarm optimization (PSO) is a method to solve the optimization problem from the biological population’s behavior characteristics. PSO is easy to diverge and fall into the local optimum. There are various kinds of improvements. In addition to improving some performance, the corresponding cost is paid. In this paper, a particle swarm optimization algorithm based on the geese is adopted to solve the

Tian Wei, Zhu Xiaogang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 116–119

Article

PGSA-BASED LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORK

This paper proposes a novel localization algorithm for wireless sensor network (WSN). Accurate localization is very important for WSN. WSN localization problem is sometimes regarded as an optimization problem. Plant growth simulation algorithm (PGSA) is a kind of new intelligent optimization algorithm, which is intelligent simulation of plant growth in natural way. In addition to the common characteristics of intelligent algorithms, PGSA show robustness and provides a global optimal solution

Yuqiang Qin, Hui Ying

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1287–1304

Research Article

DESIGN AND OPTIMIZATION OF BULK MICROMACHINED ACCELEROMETER FOR SPACE APPLICATIONS

Thampi Paul, Jaspreet Singh, M. M. Nayak, K. Rajanna, M. Sasi Kumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1019–1030

Article

MULTI-AGV SCHEDULING OPTIMIZATION BASED ON NEURO-ENDOCRINE COORDINATION MECHANISM 

Qixiang Cai, Dunbing Tang, Kun Zheng, Haihua Zhu, Xing Wu, Xiaochun Lu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1613–1630

Article

NEW STEREO MATCHING METHOD BASED ON IMPROVED BP ALGORITHM

As stereo matching methods are widely used in computer vision and stereo reconstruction, from the perspective of improving the matching accuracy, this paper focuses on the global optimization algorithm. An improved stereo matching method based on 8- neighbor Belief Propagation method is proposed in this paper, by involving more pixels into information transmission, our method improves the accuracy of stereo matching. The experimental results verify the efficiency and reliability of our method.

Qian. Zhang, Shaomin Li, Y. Zhang, P. Wang, JF. Huang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 464–479

Article

MODEL TO CALCULATE THE OPTIMAL MODE OF TRAIN LOCOMOTIVES TURNOVER

Petr KOZLOV, Sergey VAKULENKO, Nikolay TUSHIN, Elena TIMUKHINA

Transport Problems , ISSUE 3, 125–133

Research Article

IMPROVEMENT OF REGULARITY OF URBAN PUBLIC TRANSPORT LINES BY MEANS OF INTERVALS SYNCHRONIZATION

Jakub OZIOMEK, Andrzej ROGOWSKI

Transport Problems , ISSUE 4, 91–102

Research Article

Optical Flow Algorithm for Velocity Estimation of Ground Vehicles: A Feasibility Study

Savan Chhaniyara, Pished Bunnun, Lakmal D. Seneviratne, Kaspar Althoefer

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

Article

A Research of Perforation Plan-decision Based on Grey Cluster Relation

Perforation completion in oil and gas wells is the most important way of completion engineering, the optimization of perforation completion’s designing is influenced by a variety of factors. In order to get the ideal effect of perforation operation, in this paper, a Perforation plan-decision based on Grey Cluster Relation is putted forward. It aims to provide a scientific guidance for the Perforation. The simulation experimental results show that new models are effective, which offer one kind

Xue Jijun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 86–91

Article

ANALYSIS OF KEY FUEL PROPERTIES INSIDE COMBINATION ELECTRONIC UNIT PUMP FUEL PIPELINE

Because of high pressure fluctuations in Combination Electronic Unit Pump (CEUP) system during fuel injection cycles, physical properties of diesel fuel including density, acoustic wave speed and bulk modulus also vary. These physical properties of fuel have significant importance in predicting the fuel injection behavior and its optimization. A 1D viscous damped mathematical model of wave equation has been developed in MATLAB not only to simulate the pressure fluctuations in fuel pipeline at

Qaisar Hayat, Fan Liyun, Xiuzhen Ma, Tian Bingqi, Naeim Farouk

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2254–2276

Article

Research on Optimization of memory pool management for high concurrent service requests

Liu Pingping, Lu Zhaopan

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 68–78

Research Article

Determine the safe transport of dangerous goods route

The methods of conflict situations assessment were analyzed, and it was established that the main shortcoming is the disregard of the probability of occurrence of the RTA involving an individual road user. Based on the factor analysis conducted, the non-linear model of the probability of the RTA occurrence in the transport network segments was developed. Also, the model of the probability of the RTA occurrence in transport junctions was improved. It will enable, if using respective optimization

Viktor DOLIA, Irina ENGLEZI

Transport Problems , ISSUE 1, 31–44

Article

An Efficient Density-Based Clustering Algorithm for the Capacitated Vehicle Routing Problem

The capacitated vehicle routing problem (CVRP) is one of the most challenging problems in the optimization of distribution. Most approaches can solve case studies involving less than 100 nodes to optimality, but time-consuming. To overcome the limitation, this paper presents a novel two-phase heuristic approach for the capacitated vehicle routing problem. Phase I aims to identifying sets of cost-effective feasible clusters through an improved density-based clustering algorithm. Phase II assigns

Jiashan Zhang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 161–165

Research Article

IMPROVING THE ORGANIZATION OF THE SHOVEL-TRUCK SYSTEMS IN OPEN-PIT COAL MINES

Mark KORYAGIN, Artyom VORONOV

Transport Problems , ISSUE 2, 113–122

Review

UNCERTAINTY ANALYSIS OF STRAIN GAGE CIRCUITS: INTERVAL METHOD AND INTERVAL ALGORITHM

B. Vasuki, M. Umapathy, A. R. Senthilkumarr

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 477–489

review -article

Optimization of diagnostic ultrasonography of the gallbladder based on own experience and literature

Introduction The introduction of harmonious and spatially complex imaging with a simultaneous reduction of image speckles have contributed to significant advances in gallbladder ultrasonography. Furthermore, optimization of this technique was achieved by constructing high-resolution broadband transducers with 3D and 4D options for organ imaging. This diagnostic arsenal was further enriched with endoscopic, laparoscopic and contrast-enhanced ultrasound (CEUS), as well as elastography and

Andrzej Smereczyński, Katarzyna Kołaczyk, Elżbieta Bernatowicz

Journal of Ultrasonography , ISSUE 80, e29–e35

Research Article

OPTIMUM DISTRIBUTION OF REPAIRS IN ТS-8 OF ELECTRIC LOCOMOTIVES VL80С BETWEEN REPAIR DEPOTS IN THE REPUBLIC OF KAZAKHSTAN

for repairs by optimization of a resource before change of wheel bandages in electric locomotives VL80С that promotes an increase in their between-repairs run.

Seidulla ABDULLAYEV, Janat MUSAYEV, Temyrbay CHIGAMBAEV, Saken MALYBAYEV, Gabit BAKYT, Assylbek TOILYBAYEV

Transport Problems , ISSUE 2, 19–29

Article

MODEL BASED APPLICATION LEVEL MIDDLEWARE FOR DESIGN OF WIRELESS SMART CITY

existing network simulators replace field test during WSC design. The proposed platform reduces engineering cost and increases development efficiency. Network optimization is implemented to provide an automatic design of WSC.

Yujie Liang, Rendong Ying, Peilin Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1180–1199

Article

Human Identification Based on Walking Detection with Acceleration Sensor and Networked Laser Range Sensors in Intelligent Space

This study aimed to identify a specific human with the accurate position measurements by integrating the networked laser range finders in the intelligent space and an wearable acceleration sensor with the human. A human identification method based on associating detections of walking behaviors from both sensors is proposed. Parameter optimization was also performed for improvement of identification. System configurations and implementations using RT component are also described. Some

Kazuyuki Morioka, Fumitaka Hashikawa, Tomoyasu Takigawa

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2040–2054

Article

Self-adaptive Differential Evolutionary Extreme Learning Machine and Its Application in Facial Age Estimation

In this paper, Self-adaptive Differential Evolutionary Extreme Learning Machine (SaDE-ELM) was proposed as a new class of learning algorithm for single-hidden layer feed forward neural network (SLFN). In order to achieve good generalization performance, SaDE-ELM calculates the error on a subset of testing data for parameter optimization. Since SaDE-ELM employs extra data for validation to avoid the over fitting problem, more samples are needed for model training. In this paper, the cross

Junhua Ku, Kongduo Xing

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 72–77

Article

EXPERIMENTAL AND THEORETICAL VALIDATION METHOD FOR ESTIMATION OF STRAIGHTNESS DEVIATION AND ASSOCIATED UNCERTAINTY IN CNC-CMM MEASUREMENT

Geometrical deviation in intelligent metrology system is an important factor in precision engineering. Estimating the deviation and associated uncertainty in straightness feature remains a necessary requirement to ensure highly accurate metrology method especially in CNC-CMM measurement. Optimization in straightness measurement using soft algorithm techniques is a widely encountered solution in coordinate metrology. In this work, straightness deviation has been measured precisely in 2D and in

Salah H.R. Ali, M.A.H. Khalafalla, Ihab H. Naeim, Sarwat Z.A. Zahwi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 397–418

Article

RESEARCH OF THE FORKLIFT POWER-ASSISTED STEERING SYSTEM BASED ON SAFETY STEERING SPEED CONTROL

with the traditional PID in order to justify the validity of the algorithm. Finally, the expression of speed with tri-function is built. Optimization of safety speed is added on the basis of traditional power-assisted steering to ensure the stability and security of forklift steering.

Yan He, Benxian Xiao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 749–765

Article

AMN-PSO METHOD FOR JAMMING UNMANNED AERIAL VEHICLE NETWORK

UAVs are attracting more and more attentions for their versatilities and low costs. This paper focuses on their security and considers launching jamming attacks on them. We firstly formulate the UAVs jamming problem. Secondly the PSO (Particle Swarm Optimization) algorithm is introduced and new metrics like AJRL (Area for jamming a receiving link) and NJRL (Number of AJRLs) are defined. Then we provide a new jamming method AMN-PSO (Achieving Maximal NJRL based on PSO) for UAVs jamming attack

ZHANG Yu, LIU Feng, HAN Jie

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2042–2064

Article

The Design of QoS Guarantee Strategy Framework for Networked Control System

For networked control systems such as packet loss and delay of the basic problems, this article launches the research from the perspective of network scheduling optimization, build the QoS semantic model and service model for networked control, puts forward the multi-level QoS guarantee strategy deployment algorithm and QoS, QoS access algorithm components; On a class of networked control middleware prototype system of network resources to meet of components and component deployment simulation

Yang Weixia, Xu Fei, Wang Shaochang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 108–112

Article

FLOW CAPACITY ANALYSIS FOR MPL KATOWICE PYRZOWICE TERMINALS WITH THE INDICATION OF ZONES REQUIRING ARCHITECTONIC CHANGES

Michał SITEK

Architecture, Civil Engineering, Environment , ISSUE 1, 41–50

Article

Capacitive Sensor Design Utilizing Conformal Mapping Methods

In this work we demonstrate the advantages of conformal mapping methods for the design of capacitive sensor setups. If the setups are modeled appropriately, the respective Laplace equa-tions can be solved utilizing conformal mapping methods. These methods yield the equations de-scribing the electric field of the sensor setups. The field equations contain the distinct geometric properties of the sensor setups. An in depth analysis of these equations permits the optimization of the sensor setups

N. Eidenberger, B. G. Zagar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 36–56

original-paper

Mycosynthesis of Size-Controlled Silver Nanoparticles through Optimization of Process Variables by Response Surface Methodology

one parameter at a time to attain optimization has many drawbacks as numerous experiments have to be designed and time-consuming yet interaction between the parameters and their effects cannot be studied. RSM, on the other hand, uses the statistical method to design experiments and study interactions between selected variables to suggest the most suitable conditions for producing the desirable nanoparticles (Othman et al. 2017). Response Surface Methodology (RSM) is preferred over the traditional

ASMA SHAHZAD, MEHWISH IQTEDAR, HAMID SAEED, SYED ZAJIF HUSSAIN, ASMA CHAUDHARY, ROHEENA ABDULLAH, AFSHAN KALEEM

Polish Journal of Microbiology , ISSUE 1, 35–42

Article

SOME GUIDANCE IN THE DESIGNING OF A ROLLER FOR THE AUTOMOTIVE TESTERS

This work presents some aspects related to the designing of a roller for stands that are intended to determine the parameters of the transmission of a vehicle, such as braking force, wheel revolutions, etc. The computational scheme of simply supported beam is used to create an analytical mechanical-mathematical model through which a multicriteria optimization problem has been solved. A finite element macro and submodel of the roller has been created, and by using the R1MS technique, the fatigue

Yulian ANGELOV, Ivo DRAGANOV

Transport Problems , ISSUE 3, 97–108

Research paper

KNOWLEDGE-BASED MODELING FOR PREDICTING CANE SUGAR CRYSTALLIZATION STATE

, based on support vector machine with particle swarm optimization, to improve the predictive accuracy and generalization capacity. Furthermore, the intelligent system is tested using a self-regulating intelligent comprehensive monitoring and controlling platform that represents the cane sugar process. Results demonstrate the feasibility of the system for predicting the crystallization state in a real cane sugar process.

Yanmei Meng, Xian Yu, Haiping He, Zhihong Tang, Xiaochun Wang, Jian Chen

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 942–965

Research paper

POSTERIOR BELIEF CLUSTERING ALGORITHM FOR ENERGY-EFFICIENT TRACKING IN WIRELESS SENSOR NETWORKS

In this paper, we propose a novel posterior belief clustering (PBC) algorithm to solve the tradeoff between target tracking performance and sensors energy consumption in wireless sensor networks. We model the target tracking under dynamic uncertain environment using partially observable Markov decision processes (POMDPs), and transform the optimization of the tradeoff between tracking performance and energy consumption into yielding the optimal value function of POMDPs. We analyze the error of

Bo Wu, Yanpeng Feng, Hongyan Zheng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 628–641

Article

AN INTELLIGENT FEATURE SELECTION AND CLASSIFICATION METHOD BASED ON HYBRID ABC–SVM

Jie Li, Qiuwen Zhang, Zhang Yongzhi, Li Chang, Xiao Jian

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1876–

Article

OPTIMAL TECHNIQUES FOR SENSING ERROR MINIMIZATION WITH IMPROVED ENERGY DETECTION IN COGNITIVE RADIOS

K. Muthumeenakshi, S. Radha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2014–2034

Article

AN APPLICATION OF AHP METHOD FOR EXAMINING THE TRANSPORT PLAN OF PASSENGER TRAINS IN BULGARIAN RAILWAY NETWORK

transportation; determination of the number of trains by criterion of minimum direct operating costs for transportation of each variant scheme using linear optimization model; application of AHP method to define the weights of criteria and ranking the variants schemes; and selection of an optimal transport plan according to the criterion of a minimum ratio of normalized direct operating costs to the AHP score. The methodology was experimented in Bulgarian railway network.

Svetla STOILOVA, Radina NIKOLOVA

Transport Problems , ISSUE 1, 37–48

Article

EFFICIENT FAMILY OF RATIO-TYPE ESTIMATORS FOR MEAN ESTIMATION IN SUCCESSIVE SAMPLING ON TWO OCCASIONS USING AUXILIARY INFORMATION

order of approximation. Usual ratio estimator is identified as a particular case of the suggested estimators. Optimum replacement strategy is also discussed. The proposed family of estimators at optimum condition is compared with the simple mean per unit estimator, Cochran (1977) estimator and existing other members of the family. Expressions of optimization are derived and results have been justified through numerical study interpretation.

Nazeema T. Beevi, C. Chandran

Statistics in Transition New Series , ISSUE 2, 227–245

Article

BALLAST FLYING MECHANISM AND SENSITIVITY FACTORS ANALYSIS

Ballast flying problems obsess the ballasted high speed railway, its microscopic mechanics is less of discovered. In the paper, the railway ballast particle force equilibrium is analyzed through basic mechanics and mathematic formula, and a model is set up to discover the factors and influence. The microscopic ballast flying model is used for ballast bed geometry and ballast shape optimization, and guide the ballast flying countering methods. Results show that ballast flying particle is

G.Q Jing, Y.D Zhou, Jian Lin, J. Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 928–939

Article

ECONOMIC–GEOGRAPHICAL METHOD DELIMITING WAGON FLOWS IN THE REGION CONSIDERED: MODEL AND ALGORITHM

freight traffic. The algorithm for creating a model of freight transportation is based on the analysis of the qualitative and quantitative indicators of the operator company in the considered region with the use of analytical, heuristic, and graphic capabilities of math software. The theoretical substantiation of the territorial picture, the freight transportation market in the region is obtained. The carried-out research allows to specify possible ways of optimization of freight traffic distribution.

Oleg Chislov, Viktor Bogachev, Vyacheslav Zadorozhniy, Taras Bogachev

Transport Problems , ISSUE 2, 39–48

Article

Fine-grained Access Control Scheme Based on Cloud Storage

access control based on CP-ABE. Through the analysis and comparison, the experimental results showed that the proposed scheme optimized the user revocation, reduced the time of data owner to manage data, and realized the safe sharing and efficient storage of sensitive data in the public cloud storage. Finally, the technology in this paper was an optimization both on security and the whole expense, and it must have a good prospect in the future.

Xiaojie Niu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 207–210

Review

COMPUTATIONAL DESIGN FOR THE PRESERVATION AND ENHANCEMENT OF HISTORICAL HERITAGE. A PREFABRICATED COVERING PROTOTYPE FOR ARCHAEOLOGICAL SITES IN RURAL CONTEXT

optimization algorithm to find a range of high-performance projects. The optimization problem can be solved through two approaches: deterministic (direct application of a set of defined steps) or stochastic (introducing a certain level of randomness). In architecture, where the optimization problems are particularly complex, designers generally use meta-heuristic algorithms, which are stochastic algorithms based on the principle of the weak law of large numbers [7]. Among these, the oldest and popular

Marco Giorgio BEVILACQUA, Filippo IARDELLA, Marco PALAZZUOLI, Rodrigo Rubio CUADRADO

Architecture, Civil Engineering, Environment , ISSUE 2, 17–26

No Record Found..
Page Actions