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
  • non-scientific
  • 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
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • Journal Of Social Structure
  • Polish Journal Of Microbiology
  • Journal Of Nematology
  • International Journal Advanced Network Monitoring Controls
  • Sj Child Adolescent Psychiatry Psychology
  • Transport Problems
  • Immunohematology
  • Connections
  • Acta Neurobiologiae Experimentalis
  • Statistics In Transition
  • Apex

 

Article

New linear model for optimal cluster size in cluster sampling

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

Alok Kumar Shukla, Subhash Kumar Yadav

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

Article

OPTIMAL CLUSTER HEAD NUMBER BASED ON ENTROY FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

In-network data aggregation plays an important role on energy consumption from the point of reducing the amount of communication in cluster-based wireless sensor networks. The selection of cluster heads is usually based on two criteria which are the number of cluster heads network needed and the times of every node serving as the cluster head. Too much or too little cluster head number will shorten the network lifetime for the energy premature depletion of some sensor nodes, so it has a great

Mingxin Yang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1935–1955

Article

Distributed Computing System Based on Microprocessor Cluster for Wearable Devices

Wearable equipment in recent years has been rapid development. But the hardware manufacturing complexity and the high cost is a real problem. This paper introduces a microprocessor cluster with both hardware design principle and related distributed software design methods. This cluster has the characteristics of low cost, high reliability, flexible hardware and software system structure, low power consumption, simple equipment manufacturing process and so on, especially suitable for wearable

Xin Liu, Zhiqiang Wei

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 27–32

Research Article

A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networks

Clustering, an energy efficient approach is used in Wireless Sensor Network. Clustering involves cluster formation and Cluster Head Selection. As the Cluster Head is involved in carrying out the entire communication, a high energy node has to be selected as Cluster Head. In this paper, a novel predictive Fuzzy based Cluster Head selection algorithm is proposed. The proposal suggests a new input parameter, Rate of recurrent Communication apart from the standard parameters namely the Residual

Hemavathi Natarajan, Sudha Selvara

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–8

Article

NEW METHOD OF VARIABLE SELECTION FOR BINARY DATA CLUSTER ANALYSIS

Cluster analysis of binary data is a relatively poorly developed task in comparison with cluster analysis for data measured on stronger scales. For example, at the stage of variable selection one can use many methods arranged for arbitrary measurement scales but the results are usually of poor quality. In practice, the only methods dedicated for variable selection for binary data are the ones proposed by Brusco (2004), Dash et al. (2000) and Talavera (2000). In this paper the efficiency of

Jerzy Korzeniewski

Statistics in Transition New Series , ISSUE 2, 295–304

Article

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

Big data storage management is one of the most challenging issues for Hadoop cluster environments, since large amount of data intensive applications frequently involve a high degree of data access locality. In traditional approaches high-performance computing consists dedicated servers that are used to data storage and data replication. Therefore to solve the problems of Disparateness among the jobs and resources a “Disparateness-Aware Scheduling algorithm” is proposed in the

E. Laxmi Lydia, M.Ben Swarup

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

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

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

Research Article

Cluster Grouping for the Gifted and Talented: It Works!

Cluster grouping, as an organisational strategy for gifted and talented education, has been discussed, implemented and researched in the United States for several decades. Outcomes have been positive, yet the potential benefits of this model for the New Zealand context remain largely unrecognised. Cluster grouping involves the placement of a group of gifted and talented learners in one or more classrooms in their respective year group, with the remainder of students heterogeneously grouped

Megan Biddick

Apex , ISSUE 1, 78–86

Article

Research on Balanced Energy Consumption of Wireless Sensor Network Nodes Based on Clustering Algorithm

A multi-cluster-head based clustering routing algorithm is researched and realized in order to achieve better balance the energy consumption of wireless sensor network nodes as well as promote the stability and extend the service life of the network. By taking cluster as the basic unit, it divides the wireless sensor network into multiple clusters, each of which includes a main cluster head node, an assistant cluster head node, a cluster management node and several ordinary nodes. The article

Jie Huang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 15–19

Research Article

An application of the graph theory which examines the metro networks

, density of the route. The new and the existing indicators have been used to analyze and classify the metro networks. The statistical method cluster analysis has been applied to classify the networks. Ten indicators have been used to carry out an analysis. The metro systems in European capitals have been classified in three clusters. The first cluster includes large metro systems, the second one includes small metro networks whereas the third cluster includes metro networks with only one line. The

Svetla STOILOVA, Veselin STOEV

Transport Problems , ISSUE 2, 35–48

Research Article

CLASSIFYING RAILWAY PASSENGER STATIONS FOR USE TRANSPORT PLANNING – APPLICATION TO BULGARIAN RAILWAY NETWORK

and cluster analysis has been applied to classify the stations. The factors have been classified into 4 components by the method of principal components. The stations have been classified into 6 groups using hierarchical cluster analysis. The methods, Average linkage between group and Within-groupslinkage, and distance-type measures Euclidean distance and Squared Euclidean distance were compared to verify the results of cluster analysis. The grouping of the stations has 

Svetla STOILOVA, Radina NIKOLOVA

Transport Problems , ISSUE 2, 143–155

Article

AN ALTERNATIVE MATRIX TRANSFORMATION TO THE F TEST STATISTIC FOR CLUSTERED DATA

For the regression analysis of clustered data, the error of cluster data violates the independence assumption. Consequently, the test statistic based on the ordinary least square method leads to incorrect inferences. To overcome this issue,the transformation is required to apply to the observations. In this paper we propose an alternative matrix transformation that adjusts the intra-cluster correlation with Householder matrix and apply it to the F test statistic based on generalized least

Sukanya Intarapak, Thidaporn Supapakorn

Statistics in Transition New Series , ISSUE 1, 153–174

Research Article

CLUSTER HEAD ELECTION MECHANISM-BASED ON FUZZY LOGIC (CHEF) WITH TDMA IN WSN

the network, even the cluster head is elected according to check their residual energy considerable amount of energy will drain automatically to overcome this drawback by considering the protocol a fuzzy logic approach is used to elect the cluster head based on three descriptors-energy, centrality & distance and second CH is elected according to TDMA to overcome the data lost during energy drain occur in the CH .NS-2 simulation shows that proposed protocol provides higher energy efficiency. This

G Vijayalakshmi, M.Anto Bennet, P. Shenbagavalli, M. Vijayalakshmi, S. Saranya

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 395–413

Research paper

FUNCTIONAL STRUCTURE OF POLISH REGIONS IN THE PERIOD 2004-2013 – MEASUREMENT VIA HHI INDEX, FLORENCE’S COEFFICIENT OF LOCALIZATION AND CLUSTER ANALYSIS

The article addresses the measurement and identification problems covering particular social and economic areas (referred to as functions) in the regions of the country, based on the employment structure analysis and assessment by the sectors of the economy. The Herfindahl-Hirschman index was applied to measure sectoral concentration and Florence’s coefficient of localization to determine regional functional specialization. Finally, cluster analysis was conducted to produce the functional

Marek Obrębalski, Marek Walesiak

Statistics in Transition New Series , ISSUE 2, 223–242

Research paper

A Novel Biased Energy Distribution (BED) Technique for Cluster-Based Routing in Wireless Sensor Networks

This paper presents the impact of utilizing a biased energy distribution (BED) scheme for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable. This paper proposes a

A. F. Salami, H. Bello-Salau, F. Anwar, A. M. Aibinu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 161–173

Research Article

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

topology can be achieved by fitness model, so we designed an approximate clustering algorithm based on fitness model, which is distributed. CFM is composed of three phases: links generation phase, heads selection phase and cluster division phase. The performance of CFM algorithm was analyzed through simulation experiments, which indicated a well-constructed topology and effectively prolonged network lifetime.

Linfeng Liu, Jiagao Wu, Fu Xiao, Ruchuan Wang

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

Research Article

Improving the Logistical Processes in Corporate Service System

The study deals with enhancing the reliability of freight cars by improving the corporate service system. Assessing of the quality of spare parts suppliers is discussed. An algorithm for supplier selection and an evaluation method, based on cluster analysis of indicators of supplier reliability, is proposed. Alternative developments for a service network, in view of expanding of the car fleet powered by natural gas-based fuel have been considered.АннотацияВ статье рассматриваются способы

Irina Makarova, Rifat Khabibullin, Eduard Belyaev, Larisa Gabsalikhova, Eduard Mukhametdinov

Transport Problems , ISSUE 1, 5–18

Article

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

Numerical taxonomy was used for identification and grouping of the genera, species, and populations in the families Merliniidae and Telotylenchidae. The variability of each of 44 morphometric characters was evaluated by calculation of the coefficient of variability (CV) and the ratio of extremes (max/min) in the range of 1,020 measured females. Also correlation and regression analyses were made between characters to find potential collinearities. Hierarchical cluster analysis (HCA

REZA GHADERI, HABIBALLAH HAMZEHZARGHANI, AKBAR KAREGAR

Journal of Nematology , ISSUE 2, 207–222

Article

EXAMINING SIMILARITIES IN TIME ALLOCATION AMONGST EUROPEAN COUNTRIES

: cluster analysis, k-means method, generalised distance measure GDM and interval taxonomic method TMI. The analysis was performed on the basis of HETUS data.

Marta Hozer-Koćmiel, Christian Lis

Statistics in Transition New Series , ISSUE 2, 317–330

Article

THE CHOICE OF NORMALIZATION METHOD AND RANKINGS OF THE SET OF OBJECTS BASED ON COMPOSITE INDICATOR VALUES

identified. The considerations included in Table 3 reduce this number to 10 normalization methods. Next, the article discusses the procedure which allows separating groups of normalization methods leading to similar rankings of the set of objects separately for each composite indicator formula. The proposal, based on Kendall’s tau correlation coefficient (Kendall, 1955) and cluster analysis, can reduce the problem of choosing the normalization method. Based on the suggested research procedure the

Marek Walesiak

Statistics in Transition New Series , ISSUE 4, 693–710

Article

THE CHOICE OF NORMALIZATION METHOD AND RANKINGS OF THE SET OF OBJECTS BASED ON COMPOSITE INDICATOR VALUES

identified. The considerations included in Table 3 reduce this number to 10 normalization methods. Next, the article discusses the procedure which allows separating groups of normalization methods leading to similar rankings of the set of objects separately for each composite indicator formula. The proposal, based on Kendall’s tau correlation coefficient (Kendall, 1955) and cluster analysis, can reduce the problem of choosing the normalization method. Based on the suggested research procedure the

Marek Walesiak

Statistics in Transition New Series , ISSUE 4, 693–710

Article

SEFP: A NEW ROUTING APPROACH USING FUZZY LOGIC FOR CLUSTERED HETEROGENEOUS WIRELESS SENSOR NETWORKS

with the maximum chance value becomes a cluster head (CH) based in three fuzzy parameters such as residual energy of each sensor node, closeness to base station (BS), and sum of distances between particular sensor node and other sensor nodes (area distance). The Simulation results of heterogeneous WSNs shows that our approach using fuzzy logic system always preserves more energy as compared to well-known protocols such as LEACH and SEP. additionally, we found that our approach SEFP outperforms

hassan EL ALAMI, Abdellah NAJID

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2286–2306

Article

A NOVEL GRID INTERSECTION POINT DETECTION AND MATCHING METHOD IN THE BINOCULAR PULSE MEASUREMENT SYSTEM

Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their

L. M. Yang, A. H. Zhang, D. M. Lin, L. Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 256–273

research-article

Description of Rotylenchus rhomboides n. sp. and a Belgian population of Rotylenchus buxophilus (Tylenchomorpha: Hoplolaimidae)

Scutellonema truncatum (accession number: KX959308) were selected for COI mtDNA data set. Cluster analysis and web-based key The new species was compared with 103 described species, based on the tabular key of Castillo and Vovlas (2005). This was done using Hierarchical Cluster analysis implemented in the software Primer 6 (Clarke and Gorley, 2006) using Bray–Curtis similarity measure with the percent similarity between species defined by the average of the multiple characters. The 11 characters of 103

Huu Tien Nguyen, Quang Phap Trinh, Marjolein Couvreur, Phougeishangbam Rolish Singh, Wilfrida Decraemer, Wim Bert

Journal of Nematology , 1–20

Article

A NEW UNEQUAL CLUSTERING ALGORITHM USING ENERGY-BALANCED AREA PARTITIONING FOR WIRELESS SENSOR NETWORKS

Multi-hop Clustering is more preferred than the single-hop one because the transmission range of the Wireless Sensor Networks (WSN) nodes is not determined by the size of the network area. However, the multi-hop method brings a new problem related to the workload imbalance between the cluster-heads (CHs). Unequal Clustering becomes the most proposed solution of the unbalance load, but the calculation of the radius clusters still become a big challenge to achieve a maximum balancing degree. In

Amin Suharjono, Wirawan, Gamantyo Hendrantoro

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1808–1829

research-article

Performance enhancement of in-network probabilistic aggregation (PEPA) for vehicular ad-hoc networks

Structure-free vehicular ad-hoc networks (VANETs) exchange information through roadside units (RSUs) using IEEE 802.11p at 5.9 GHz. To make the journey experience safe and secure for the user, we need to ensure real-time information to road users on the highway or city scenario (S Al-Sultan et al., 2014; Schoch et al., 2008). Figure 1 indicates the basic communication module used for the propagation of information of the cluster to the end user. Cluster is required to overcome the issue of

Rajeev Kumar, Dilip Kumar, Dinesh Kumar

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

Article

The Invisible Contours of Online Dating Communities: A Social Network Perspective

cluster membership. Rated attractiveness and age were the strongest cluster correlates, whereas education and race were relatively uncommon determinants. In sum, daters’ interdependent actions created aggregate communities unseen by the users themselves, but no less influential for dating opportunities, that were based more on attractiveness and age than on race and education.

Diane H. Felmlee, Derek A. Kreager

Journal of Social Structure , ISSUE 1, –

Research paper

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

a class of continuous posterior beliefs by Kullback–Leibler (KL) divergence, and cluster these posterior beliefs into one based on the error of KL divergence. So, we calculate the posterior reward value only once for each cluster to eliminate repeated computation. The numerical results show that the proposed algorithm has its effectiveness in optimizing the tradeoff between tracking performance and energy consumption.

Bo Wu, Yanpeng Feng, Hongyan Zheng

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

Research Article

OUTLIER DETECTION BASED ON SIMILAR FLOCKING MODEL IN WIRELESS SENSOR NETWORKS

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

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

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

Research Article

A network approach to understanding obesogenic environments for children in Pennsylvania

prevalence. We also examined the relationship between measures of network centrality and child obesity prevalence. The overall structure of the network suggests that environmental features geographically co-occur, and features of the environment that were more highly correlated with body mass index were more central to the network. Three clusters were identified: a crime-related cluster, a food-environment and land use-related cluster, and a physical activity-related cluster. The structure of connections

Emily A. Knapp, Usama Bilal, Bridget T. Burke, Geoff B. Dougherty, Thomas A. Glass

Connections , ISSUE 1, 1–11

Research Article

Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks

down the data redundancy which is related to correlated sensor readings and using a probability model to efficiently compress data at the cluster heads. As in the case of sensor networks the data reliability goes down as the network resource depletes and these types of networks lacks any central synchronization making it even more a global problem to compare different reading at the central coordinator. The complexity of calibrating each sensor and using an adaptable measured threshold to correct

Vasanth Iyer, Garimella Ram Murthy, M.B. Srinivas

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 912–921

Research Article

Inter-Firm Social Networks Created by Mobile Laborers: A Case Study on Siteler in Ankara

Labor mobility, both as a mechanism of knowledge diffusion and as a kind of social glue that holds together small production communities operative within a given territory, deserves serious consideration. In this context, focusing on a specific industrial cluster in Ankara, this paper reveals the extent and characteristics of the social networks created by the mobile laborers in order to understand the interconnections between social context, knowledge spillovers, innovation and labor mobility

Burak Beyhan

Journal of Social Structure , ISSUE 1, 1–33

Research Article

WIRELESS ZIGBEE NETWORK CLUSTER - CAPACITY CALCULATION AND SECURE DATA CONVEYANCE USING INDEGREE

R. Elankavi, R. Kalaiprasath, R. Udayakumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 174–185

Article

Improved K-means Algorithm Based on optimizing Initial Cluster Centers and Its Application

Xue Linyao, Wang Jianguo

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 9–16

Original Paper

Molecular Study of Indigenous Bacterial Community Composition on Exposure to Soil Arsenic Concentration Gradient

Actinobacteria and Proteobacteria but a shift towards Proteobacteria was observed with increasing arsenic concentration, and number of Actinobacteria eventually decreases. PCA (Principle Component Analysis) plot of bacterial community composition indicated a distinct resemblance among high arsenic content samples, while low arsenic content samples remained separated from others. Cluster analysis of soil parameters identifies three clusters, each of them was related to the arsenic content. Further, cluster

Semanti Basu, Tanima Paul, Priya Yadav, Abhijit Debnath, Keka Sarkar

Polish Journal of Microbiology , ISSUE 2, 209–221

research-article

New data on known species of Hirschmanniella and Pratylenchus (Rhabditida, Pratylenchidae) from Iran and South Africa

group consisted of populations from China and Japan with 100AU values (Fig. 8). This analysis demonstrated that the South African populations are very closely related to American populations. Moreover, the geographic pattern comprises of three continents with two of them (Africa and America) plotting completely separate from the Asian populations of P. hippeastri. Figure 8: Cluster dendrogram for different populations of P. hippeastri using morphometric data. Red values represent AU (approximated

Ebrahim Shokoohi, Joaquín Abolafia, Phatu William Mashela, Nafiseh Divsalar

Journal of Nematology , 1–26

research-article

Acute effect of energy boost dietary supplement on P3 waveform: double blind, placebo controlled study

assumptions, nonparametric Friedman’s test was used. In all the analyses, P<0.05 was regarded as statistically significant. In order to take a deeper insight into the changes of ERPs throughout the sessions, we compared ERPs between sessions, time point by time point, using nonparametric cluster based permutation analysis (Maris and Oostenveld, 2007). Monte Carlo correction for MCP (multiple comparison problem) was used by means of FieldTrip software, which is an open source Matlab toolbox for MEG, EEG

Karina Maciejewska, Karolina Grabowska

Acta Neurobiologiae Experimentalis , ISSUE 4, 411–423

Research Article

Low Energy Adaptive Routing Hierarchy Based on Differential Evolution

Xiangyuan Yin, Zhihao Ling, Liping Guan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 523–547

Article

DRIVING STYLE ANALYSIS AND DRIVER CLASSIFICATION USING OBD DATA OF A HYBRID ELECTRIC VEHICLE

Andrzej PUCHALSKI, Iwona KOMORSKA

Transport Problems , ISSUE 4, Part 1, 83–94

Article

EVALUATION OF THE EU COUNTRIES’ INNOVATIVE POTENTIAL – MULTIVARIATE APPROACH

Elżbieta Roszko-Wójtowicz, Jacek Białek

Statistics in Transition New Series , ISSUE 1, 167–180

Research Article

Robust p-median problem in changing networks

scenarios. We present MILP formulation of the problem and the solution method based on exchange MILP heuristic. The cluster of each median is presented by rooted tree with the median as root. The performance of the proposed heuristic is compared to the optimal solution found via Gurobi solver for MILP models through some illustrative instances of Slovak road network in Ţilina.

Štefan PEŠKO, Tomáš MAJER

Transport Problems , ISSUE 3, 125–130

Article

SPATIAL AUTOCORRELATION IN ASSESSMENT OF FINANCIAL SELF-SUFFICIENCY OF COMMUNES OF WIELKOPOLSKA PROVINCE

Central Statistical Office (Local Data Bank). Calculations were performed in R with packages spdep, maptools and shapefiles. The study demonstrated that the communes of Wielkopolska province of comparable levels of financial self-sufficiency exhibited a moderate tendency to cluster. Clusters of high levels gathered around larger urban centres, especially around Poznań, while clusters of low levels – in economically underdeveloped agricultural south-eastern and northern part of the province.

Agnieszka Kozera, Romana Głowicka-Wołoszyn

Statistics in Transition New Series , ISSUE 3, 525–540

Article

ON-BOARD LANE DETECTION SYSTEM FOR INTELLIGENT VEHICLE BASED ON MONOCULAR VISION

confidence of the potential lane lines, and a K-means cluster algorithm is employed to localize the lane lines; Finally, a on board system is designed for experiment. The proposed system is shown to work well under various conditions on the roadway. Besides, the computation cost is inexpensive and the system's response is almost real time.

Xiaodong Miao, Shunming Li, Huan Shen

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 957–972

Article

DISTRIBUTED TARGET LOCALIZATION AND TRACKING WITH WIRELESS PYROELECTRIC SENSOR NETWORKS

degree of freedom (DOF) spatial partition; then the localization algorithm is proposed to coordinate multiple sensors nodes to achieve two DOF spatial partitions. To effectively solve the problem of WSN energy imbalance, a strategy of neighbor table multicast and an electoral method of the dynamic cluster head based on the biggest energy are presented in the distributed wireless sensor networks. The experiments show that the method proposed here has the advantages in high accuracy and strong anti

Baihua Shen, Guoli Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1400–1418

Research Article

A new HGA-FLVQ model for Mycobacterium Tuberculosis detection

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

N. Charibaldi, A. Harjoko, B. Hisyam

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

Article

Research of New Network Address Structure

consecutive address prefixes and address codes of arbitrary length. IPV9’s unicast address has the following forms: aggregate global unicast address, decimal internet address and domain name decision and assignment organization address, IPX address, local IPV9 unicast address, and IPv4 compatible address. The aggregatable global unicast address and cluster address belong to the unicast address. They are not different in form, but differ in the propagation mode of the message. Therefore, the aggregatable

Jiao Chong, Jianping Xie, Yinqiu Xu, Hongwen Zhao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 39–47

Research Article

A MULTIDIMENSIONAL AND DYNAMISED CLASSIFICATION OF POLISH PROVINCES BASED ON SELECTED FEATURES OF HIGHER EDUCATION IN 2002–2013

Wojciech Łukaszonek

Statistics in Transition New Series , ISSUE 2, 271–290

Article

SELECTING A LOGISTICS SERVICE PROVIDER: A DEFINITION OF CRITERIA THAT CONSIDER THE REQUIREMENTS OF AN EXTERNAL COMPETITIVE ENVIRONMENT

with the requirements of the external environment. A multi-stage methodological approach was used. Selection criteria obtained from the systematic review of literature were first carefully analysed to find potential shortcomings. After that, a cluster method was used to reduce the number of criteria and to aggregate similar criteria. A Pareto analysis (75/25 rule) was further used to rank the criteria according to their frequency of use and consequently according to importance. The obtained

Patricija BAJEC, Danijela TULJAK-SUBAN

Transport Problems , ISSUE SE, 157–168

Research Article

A MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED BASED ON HIERARCHICAL CLUSTERING INDEX

model and the widely-used TFIDF model are combined in the index construction and query generation. The proposed hierarchical approach clusters the documents based on the minimum relevance threshold, and then partitions the resulting clusters into sub-clusters until the constraint on the maximum size of cluster is reached. In the search phase, this approach can reach a linear computational complexity against an exponential size increase of document collection. In order to verify the authenticity of

A. Indhuja, T.P.Udaya shankar, R.M Balajee Mastan Vali Shaik, P Sujatha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 539–559

original-paper

Microbiota and Chemical Compounds in Fermented Pinelliae Rhizoma (Banxiaqu) from Different Areas in the Sichuan Province, China

BO SHU, JING YING, TAO WANG, MENGQIAN XIA, WENYU ZHAO, LING YOU

Polish Journal of Microbiology , ISSUE 1, 83–92

Article

Morphological and Molecular Characterization of Two Aphelenchoides Endophytic in Poplar Leaves

original Australian type population. The 28S and 18S rRNA trees of Aphelenchoides and Laimaphelenchus species indicated L. heidelbergi failed to cluster with three other Laimaphelenchus species, including the type species of the genus. Therefore, we support a conservative definition of the genus Laimaphelenchus, and consider these populations to belong to  Aphelenchoides, amended as Aphelenchoides heidelbergi n. comb. This is the first report of these nematode species from within

LYNN K. CARTA, SHIGUANG LI, ANDREA M. SKANTAR, GEORGE NEWCOMBE

Journal of Nematology , ISSUE 1, 28–33

Article

Research and Design of Next Generation Internet (IPV9) Datagram

/IP protocol cluster, the current version is IPv4 with 32-bit addresses. With the popularity of Internet applications, the limited address space defined by IPv4 has been exhausted. To expand the address space, the Internet Engineering Task Force (IETF) has designed the next generation IP protocol, IPv6, to replace IPv4. IPv6 redefines the address space, using a 128-bit address length that provides almost unlimited addresses. However, with the development and application of the Internet of things

Zhongsheng Wang, Jianping Xie, Zhao Lin, Wei Zhong

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 10–28

Original Paper

Characterization of a Highly Enriched Microbial Consortium Reductively Dechlorinating 2,3-Dichlorophenol and 2,4,6-Trichlorophenol and the Corresponding cprA Genes from River Sediment

loss of dechlorination. Reductive dechlorination was confirmed by the stoichiometric dechlorination of 2,3DCP and 2,4,6TCP to metabolites with less chloride groups and by the detection of chlorophenol RD cprA gene fragments in dechlorinating cultures. PCR amplified cprA gene fragments were cloned and sequenced and found to cluster with the cprA/pceA type genes of Dehalobacter restrictus.

Wael S. El-Sayed

Polish Journal of Microbiology , ISSUE 3, 341–352

original-paper

Assessing the Microbial Communities in Four Different Daqus by Using PCR-DGGE, PLFA, and Biolog Analyses

sanguinis (AJ251778.1) 95 aBands are numbered according to Fig. 1. bIdentity represents the sequence identity (%) compared with that in the GenBank database. Multivariate analysis of DGGE profiles. UPGMA cluster analysis was used to examine relationships among the four Daqus (Yunita et al. 2018). Comparisons by the UPGMA cluster analysis (Fig. 1B) using the Dice correlation coefficient showed that Wuling Daqu and Deshan Daqu grouped first, and then clustered with Baisha Daqu and Niulanshan Daqu

YUXI LING, WENYING LI, TONG TONG, ZUMING LI, QIAN LI, ZHIHUI BAI, GUIJUN WANG, JIAHAO CHEN, YUGUANG WANG

Polish Journal of Microbiology , ISSUE 1, 27–37

book-review

Validation of the Diagnostic Infant and Preschool Assessment in a Danish, trauma-exposed sample of young children

diagnostic criteria for older children and adults is that the symptom clusters of avoidance and of negative alterations in cognitions and moods are combined into one cluster with a minimum requirement of one symptom out of six possible symptoms. Moreover, items in the developmentally modified subtype of PTSD criteria for preschoolers are described as more behavioral and observable markers of PTSD symptoms as compared to symptoms of internalized phenomena (24). Assessment tools of PTSD in preschool

Sille Schandorph Løkkegaard, Mette Elmose, Ask Elklit

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , 39–51

research-article

On the synonymy of Trophotylenchulus asoensis and T. okamotoi with T. arenarius, and intra-generic structure of Paratylenchus (Nematoda: Tylenchulidae)

. similis (having a stylet under 40 µm, four lateral lines, and with cuticular vulval flaps) clustered among other Paratylenchus species bearing stylet shorter than 40 µm in subclade IA, but P. teres (having a stylet longer than 40 µm, four lateral lines, and without cuticular vulval flaps) formed a sister cluster with P. wuae in a basal group to C. pestis and other Paratylenchus species in subclade IB; this basal group containing only long-stylet bearing species (Fig. 11). Discussion Different

Hossein Mirbabaei, Ali Eskandari, Reza Ghaderi, Akbar Karegar

Journal of Nematology , 1–14

research-article

Victimization in traditional and cyberbullying as risk factors for substance use, self-harm and suicide attempts in high school students

two high schools in each urban area (one for girls and one for boys) and three classes in each school. Finally, we chose 18 classes in six different high schools; a multi-stage randomized cluster sampling procedure was developed for solving the problem. In this sample, 226 students (53.2%) are girls and 199 of them are boys (46.8%). The average age of participants is 16.61 and the standard deviation is 0.95. The research ethics committee at the University of Social Welfare and Rehabilitation

Mohammad Saeed Azami, Farhad Taremian

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , 101–109

research-article

Meloidogyne aegracyperi n. sp. (Nematoda: Meloidogynidae), a root-knot nematode parasitizing yellow and purple nutsedge in New Mexico

J. D. Eisenback, L. A. Holland, J. Schroeder, S. H. Thomas, J. M. Beacham, S. F. Hanson, V. S. Paes-Takahashi, P. Vieira

journal of nematology , 1–16

Case report

Anti-Jk3 in a Filipino man

Shaina McCaskill, Scott Wise, Sheila Tinsley

Immunohematology , ISSUE 3, 119–122

Article

THE EFFECT OF BINARY DATA TRANSFORMATION IN CATEGORICAL DATA CLUSTERING

Jana Cibulková, Zdenek Šulc, Sergej Sirota, Hana Rezanková

Statistics in Transition New Series , ISSUE 2, 33–47

No Record Found..
Page Actions