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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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eISSN: 1178-5608

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FEATURED ARTICLES

Touch fingerprint sensor based on sensor cell isolation technique with pseudo direct signaling
HYBRID DATA APPROACH FOR SELECTING EFFECTIVE TEST CASES DURING THE REGRESSION TESTING
PERFORMANCE AND ANALYSIS OF AUTOMATIC LICENSE PLATE LOCALIZATION AND RECOGNITION FROM VIDEO SEQUENCES

VOLUME 9 , ISSUE 4 (December 2016) - List of articles

RANGE IMAGE SENSOR BASED EYE GAZE ESTIMATION BY USING THE RELATIONSHIP BETWEEN THE FACE AND EYE DIRECTIONS

Haruya Tamaki/ Tsugunosuke Sakai/ Yosuke Ota/ Fusako Kusunoki/ Shigenori Inagaki/ Ryohei Egusa/ Masanori Sugimoto/ Hiroshi Mizoguchi

In this paper, we estimate the eye gaze by using the face direction to estimate the object of interest in an extensive area such as an educational display or museum exhibit. However, the direction of the gaze may differ from that of the face. Therefore, our approach was to use a method that utilizes both the face and eye directions to improve the accuracy of our estimation compared to only using the face direction. The first part of our study involved apprehending the relationship between the di(..)

DOI: 10.21307/ijssis-2017-965

Published Online: 01-December-2016

DEVELOPMENT AND CHARACTERIZATION OF A SOLARBASED ENERGY HARVESTING AND POWER MANAGEMENT SYSTEM FOR A WSN NODE APPLIED TO OPTIMIZED GOODS TRANSPORT AND STORAGE

P. Visconti/ R. Ferri/ M. Pucciarelli/ E. Venere

This paper describes a harvesting and power management system that can be equipped with a Wireless Sensor Network (WSN) node in order to harvest energy presents in the environment to be used for sensor node power supply. The proposed scope is to develop a harvesting board exploiting available integrated circuits and devices for extending battery life-cycle of sensor node developed by Medinok SPA. The aim is to realize a WSN able to perform a monitoring of principal physical parameters deemed of (..)

DOI: 10.21307/ijssis-2017-933

Published Online: 01-December-2016

FOREGROUND DETECTION IN SURVEILLANCE VIDEOS VIA A HYBRID LOCAL TEXTURE BASED METHOD

Xiaojing Du/ Guofeng Qin

Foreground detection is a basic but challenging task in computer vision. In this paper, a novel hybrid local texture based method is presented to model the background for complex scenarios and an image segmentation based denoising processing is applied to reduce noise. We combine the uniform pattern of eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) and Center- Symmetric Local Derivative Pattern (CS-LDP) to generate a discriminative feature with shorter histogram. Retaining the strength(..)

DOI: 10.21307/ijssis-2017-934

Published Online: 01-December-2016

SOCIAL POPULARITY BASED ROUTING IN DELAY TOLERANT NETWORKS

Youmei Song/ Jianbo Li/ Chenglong Li/ Fushu Wang

Due to node’s mobility, Delay Tolerant Networks (DTNs) feature the nonexistence of end-to-end path between source and destination, frequent topology partitions and extremely high delivery latency, thus posing great challenges to successful message transmission. To improve routing performance and provide high quality communication service, nodes’ social characteristics are exploited to routing design recently. Hence, a social popularity based routing algorithm is proposed, named SPBR which takes (..)

DOI: 10.21307/ijssis-2017-935

Published Online: 01-December-2016

RESEARCH ON THE RELATIVE COORDINATE TRANSFORMATION AND RELATIVE POSITION DETECTION SYSTEM OF 3-DOF SPHERICAL ACTUATOR

Yuanjie Fang/ Bing Xu/ Chunhu Sun

The attitude detection of 3-DOF actuator is an important technology of 3-DOF spherical actuator control. For the space attitude change of the stator and the traditional detection method is invalid, the relative coordinate transformation is proposed in this paper, through the analysis of the coordinate systems of the spherical actuator. The transformed relative coordinate data is proved by using MATLAB platform. The traditional coordinate transformation and the relative coordinate transformation (..)

DOI: 10.21307/ijssis-2017-936

Published Online: 01-December-2016

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

Guang Hu/ Shengzhi Yuan

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

DOI: 10.21307/ijssis-2017-937

Published Online: 01-December-2016

FULL ORDER UNKNOWN INPUTS OBSERVER FOR MULTIPLE TIME-DELAY SYSTEMS

Seifeddine Ben Warrad/ Olfa Boubaker

In this paper, a design of a full-order observer for linear time-invariant (LTI) multivariable systems with multiple time-delays and unknown inputs (UI) is proposed. The main idea is to reduce the problem of the unknown input observer (UIO) for systems with multiple time-delays to that of a standard one. To that purpose, the orthogonal collocation method is used to transform the infinite dimensional model of the delayed system described by a set of linear partial differential equations (PDEs) to(..)

DOI: 10.21307/ijssis-2017-938

Published Online: 01-December-2016

QUANTITATIVE FEEDBACK THEORY-BASED ROBUST CONTROL FOR A SPINDLE OF LATHE MACHINE

M. Khairudin

This paper presents theoritical and experimental design of a robust control based on quantitative feedback theory (QFT) approach to control deepness variations on cutting process for a spindle of lathe machine. The dynamics of a spindle is uncertain and varying due to deepness variation on cutting process. Practical design steps are explained in which QFT based conditions are assembled to obtain a compensator and pre-filter gain to control a spindle. The robust controller show an advantage contr(..)

DOI: 10.21307/ijssis-2017-939

Published Online: 01-December-2016

FALSE DATA FILTERING IN WIRELESS SENSOR NETWORKS

Ze LUO/ Lingzhi ZHU/ Yunjie CHANG/ Qingyun LUO/ Guixiang LI/ Weisheng LIAO

Wireless Sensor Networks (WSN) is often deployed in hostile environments, and the attacker can easily capture nodes to inject false data to the sensor network, which can cause serious results. This paper has studied various false data filtering techniques recently in wireless sensor network. Based on encryption technology, we have analyzed and compared the difference of various existing filtering strategies, then have pointed out the merits and demerits of them in detailed. At last, we give the (..)

DOI: 10.21307/ijssis-2017-940

Published Online: 01-December-2016

A DOOR MONITORING SYSTEM FOR SUBWAY CARS BASED ON WIRELESS SENSOR NETWORK

WU Minghu/ CHEN Rui/ YANG Jie/ JIAO Liangbao

The place and performance of wireless sensor networks are rapidly improving in the automotive industry, industrial and environmental monitoring. Uptake of this technology can be used in urban rail vehicle management system. Due to the difficult and time-consuming maintenance of vehicle management, a remote automatic monitoring system is needed. In this paper, it is proposed to design, develop and implement a remote automatic vehicle monitoring system. The complete system architecture includes a (..)

DOI: 10.21307/ijssis-2017-941

Published Online: 01-December-2016

FORMATION ALGORITHMS FOR MULTIPLE MOBILE ROBOTS BASED ON VISION DETECTION

Zhihong Liang/ Hongwei Gao

Unmanned operating system is applied to various fields. The disadvantages of the single unmanned system, such as its own limitations, poor flexibility, poor ability, low efficiency, cannot be overcome, as the complexity of the tasks continue to increase. As a result, the cooperative operation system of multi-unmanned platforms is gradually regarded as the main trend of the development of unmanned systems. A novel multiple mobile robots co-avoidance scheme and an improved linear formation algorit(..)

DOI: 10.21307/ijssis-2017-942

Published Online: 01-December-2016

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

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

This paper presents a new approach to feature selection and classifcation based on support vector machine and hybrid artificial bee colony. The approach consists of two stages. At the first stage, this paper presented a hybrid artificial bee colony-based classifier model that combines artificial bee colony to improve classification accuracy with the most superior model parameter and features were selected from the original feature set. The classification accuracy and the feature subset provided (..)

DOI: 10.21307/ijssis-2017-943

Published Online: 01-December-2016

WEAK GPS ACQUISITION VIA COMPRESSED DIFFERENTIAL DETECTION USING STRUCTURED MEASUREMENT MATRIX

G.Arul Elango/ Gnanou Florence Sudha

Quality of the acquisition algorithm is the main criteria for assessment of the GPS receiver. Compressed sensing has been used recently in the GPS signal acquisition process to improve the acquisition sensitivity and find visible satellites in the two dimensional search space. In this paper, strategies for constructing the GPS Dictionary matrix using different measurement matrices are analyzed for weak signal conditions. Conventional acquisition methods use pure random or Bernoulli measurement m(..)

DOI: 10.21307/ijssis-2017-944

Published Online: 01-December-2016

CREDIBILITY EVALUATION FOR BLIND PROCESSING RESULTS OF BPSK SIGNALS BY USING PHASE SPECTRAL ENTROPY

Wang Shuwang/ Hu Guobing

A credibility test method based on the features of frequency domain entropy of a phase is proposed to evaluate the blind processing results of a BPSK signal. Initially, a reference signal was constructed depending on the certain identified modulation results. By analyzing the differences of the phase of the correlation series between the observed signal and the reference signal, a reliability test problem for the BPSK signal is performed by calculating the phase spectrum entropy and comparing it(..)

DOI: 10.21307/ijssis-2017-945

Published Online: 01-December-2016

OPTIMAL ANALOG WAVELET BASES CONSTRUCTION USING HYBRID OPTIMIZATION ALGORITHM

Hongmin Li/ Yigang He/ Yichuang Sun

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 (SQ(..)

DOI: 10.21307/ijssis-2017-946

Published Online: 01-December-2016

CALCULATION AND SIMULATION OF ELECTROMAGNETIC WAVE PROPAGATION PATH LOSS BASED ON MATLAB

Song Yongxian/ Zhang xianjin

In order to reliable data transmission of wireless sensor network (WSN) in indoor environment, the indoor field intensity distribution and transmission characteristics of electromagnetic wave were researched. First of all, the 3D model in specific indoor environment was built by the finite difference time domain method (FDTD).Then, layout of room, different furniture, position of field source and field source frequency had an influence on indoor field intensity distribution that were studied, an(..)

DOI: 10.21307/ijssis-2017-947

Published Online: 01-December-2016

A HYPERSPECTRAL BAND SELECTION BASED ON GAME THEORY AND DIFFERENTIAL EVOLUTION ALGORITHM

Aiye Shi/ Hongmin Gao/ Zhenyu He/ Min Li/ Lizhong Xu

This paper uses the combination of information and class separability as a new evaluation criterion for hyperspectral imagery. Moreover, the correlation between bands is used as a constraint condition. The differential evolution algorithm is adopted during the search of optimal band combination. In addition, the game theory is introduced into the band selection to coordinate the potential conflict of searching the optimal band combination using information and class separability these two evalua(..)

DOI: 10.21307/ijssis-2017-948

Published Online: 01-December-2016

HYPERSPECTRAL DATA FEATURE EXTRACTION USING DEEP BELIEF NETWORK

Jiang Xinhua/ Xue Heru/ Zhang Lina/ Zhou Yanqing

Hyperspectral data has rich spectrum information, strong correlation between bands and high data redundancy. Feature band extraction of hyperspectral data is a prerequisite and an important basis for the subsequent study of classification and target recognition. Deep belief network is a kind of deep learning model, the paper proposed a deep belief network to realize the characteristics band extraction of hyperspectral data, and use the advantages of unsupervised and supervised learning of deep b(..)

DOI: 10.21307/ijssis-2017-949

Published Online: 01-December-2016

MODELING AND OPTIMAL SUPERVISION OF MULTISENSORS AND MULTI-STATES DISCRETE-EVENT SYSTEMS WITH STRUCTURED LANGUAGES

Shunping Ji

In a discrete-event system, more than one sensor will create more than one event. Several events may happen at the same time parallelly. Events in different parallel branches are irrelevant and it will lead states explosions if mixing them together and enumerating all possible arrangements. A system with parallel sequences has multi-threads and can be dealt with as a whole. In this paper, after analyzing the process of discrete-event systems, the new model is established as a 5-tuple set, which (..)

DOI: 10.21307/ijssis-2017-950

Published Online: 01-December-2016

DETERMINISTIC DEPLOYMENT for DIRECTIONAL SENSOR NODES

Lei Yutong/ Wen jian/ Zhao Xuan/ Li Jianyu/ Zhang Junguo

Node deployment is the key problem of wireless sensor network technology in application. The existing study on deployment of deterministic perceived nodes is simplified to the randomly deployment. In this paper, we take the effective coverage , connectivity and probability threshold as the evaluation indices to analyze the different deployment models. Experimental results demonstrate that the effective coverage area of the triangle deployment is the largest when using the same number of nodes; a(..)

DOI: 10.21307/ijssis-2017-951

Published Online: 01-December-2016

THE IMPLEMENTATION OF A CLOUD SYSTEM FOR ELECTRONICS LEARNING IN A MOROCCAN PUBLIC UNIVERSITY

Khalid Ghoulam/ Belaid Bouikhalene/ Zakaria Harmouch/ Hicham Mouncif

Educational laboratories are places for realizing experimentations and they are important for modern engineering education. The problem is what if there are simply not enough devices or time for conducting experimentation in a local lab? Other factors that prevent the use of local lab devices directly by students are inaccessible or dangerous phenomena, or polluting chemical reactions. The new technologies bring additional strategies of learning and teaching, so it becomes a challenge to integra(..)

DOI: 10.21307/ijssis-2017-952

Published Online: 01-December-2016

ROAD DAMAGE IDENTIFICATION AND DEGREE ASSESSMENT BASED ON UGV

J. H. Song/ H. W. Gao/ Y. J. Liu/ Y. Yu

Aiming at the problem of automatic identification and evaluation of road damage degree, the road damage identification and degree assessment algorithms based on unmanned vehicles experimental platform are studied. The road crack segmentation extraction method based on adaptive sliding window is studied. On this basis, the road damage crack classifies and identifies according to the crack geometry information and the principle of template matching. The road damage degree assessment algorithm base(..)

DOI: 10.21307/ijssis-2017-953

Published Online: 01-December-2016

PLANNING OF CUTTER PATH IN HIGH SPEED MACHINING BASED ON MAPPING OF TRIANGULAR GRID SURFACE

Yue-qi Guan/ Du Xu/ Han-qing Guan

This paper puts forward an algorithm of generating a constant CNC spiral path based on curved surface of triangular grid. This algorithm takes fully consideration of the geometry and dynamics characteristics of the cutter-path and triangular grid cell, effectively reducing numbers of cutter lifting and maintaining the continuity of the cutter-path. This algorithm starting biasing from the contact points of cutter on the boundary of profile curve of grid layer by layer and planning the contact po(..)

DOI: 10.21307/ijssis-2017-954

Published Online: 01-December-2016

AMI BASED SENSING ARCHITECTURE FOR SMART GRID IN IPV6 NETWORKS

Wang Peng/ Su Fei/ Hu bohong/ Luan wenpeng

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

DOI: 10.21307/ijssis-2017-955

Published Online: 01-December-2016

A BLIND ASSESSMENT METHOD OF IMAGE COMPRESSION QUALITY BASED ON IMAGE VARIANCE

Qun Zhou/ Xiongwei Liu

The assessment of image compression result can not only evaluate the quality of image compression results and to a certain extent, can also find the advantages and drawbacks of various compression methods. At the same time, it can provide a reference for the compressed image restoration. Firstly, the classification and shortages of image quality assessment methods are presented. Then, several objective assessment methods usually used for image compression quality are introduced and the recent re(..)

DOI: 10.21307/ijssis-2017-956

Published Online: 01-December-2016

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

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

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

DOI: 10.21307/ijssis-2017-957

Published Online: 01-December-2016

RESEARCH OF DUAL WATERMARKING TECHNOLOGY FOR DIGITAL IMAGE

Fang Yinglan/ Han Bing/ Zhang Yongmei/ Tian Lin

Digital image watermark has been studied as object. It analyzed the typical digital watermark algorithms based on the space domain and transform domain and key researched watermarking algorithm based on discrete wavelet transform. It has designed and improved blind watermarking algorithm and color image watermarking algorithm. Finally, based on the two improved watermarking algorithm, it has designed a dual watermarking algorithm. Both are separated but related. It authenticates dual watermarkin(..)

DOI: 10.21307/ijssis-2017-958

Published Online: 01-December-2016

IMAGE FUSION BASED ON JOINT NONSUBSAMPLED CONTOURLET AND OVERCOMPLETE BRUSHLET TRANSFORMS

Zhang Pai

This paper proposed an image fusion method based on a novel scheme with joint nonsubsampled contourlet and overcomplete brushlet transform. And an improved region energy operator is employed as the fusion strategy, which can take full advantage of the anisotropic texture information and multidimensional singular information in the new multiresolution domain. Experimental results shows that the proposed method improved the fusion results not only in visual effects but also in objective evaluating(..)

DOI: 10.21307/ijssis-2017-959

Published Online: 01-December-2016

OPTIMIZATION OF MODIFIED ROTAMETER USING HALL PROBE SENSOR WITH RESPECT TO LIQUID DENSITY AND ITS CALIBRATION USING ARTIFICIAL NEURAL NETWORK

Sunita Sinha/ Nirupama Mandal

Rotameter is one of the most commonly used local indicating type flow measuring instrument. For remote indication and control a secondary transducer like Hall Probe sensor, LVDT etc. is incorporated with the conventional rotameter. In this paper, a modified rotameter with Hall Probe sensor is used as a measuring instrument. The output hall voltage is proportional to the flow rate of the fluid and the change in fluid density may also vary the hall voltage. So this kind of variation shows incorrec(..)

DOI: 10.21307/ijssis-2017-960

Published Online: 01-December-2016

FINDING THE SHORTEST PATHS AMONG CITIES IN JAVA ISLAND USING NODE COMBINATION BASED ON DIJKSTRA ALGORITHM

Bilqis Amaliah/ Chastine Fatichah/ Olyn Riptianingdyah

This study focuses on finding the shortest paths among cities in Java Island by repeatedly combining the start node’s nearest neighbor to implement Dijkstra algorithm. Node combination is used to find the shortest path among cities in Java by deleting the node nearest to the start node. The use of memory by node combination is more efficient than the use of memory by the original Disjkstra algorithm. The 46 cities in Java Island will be used to evaluate the performance of finding shortest path. (..)

DOI: 10.21307/ijssis-2017-961

Published Online: 01-December-2016

SELECTIVE CO SENSING USING NANOSTRUCTURED TiO_2 GAS SENSORS: A REVIEW

Roshan Castelino/ Pramod N G

Fabricating a sensor for a toxic gas like carbon monoxide has been a constant need in many domestic and industrial applications. Although many sensors are commercially available, research is focused on developing a selective sensor with higher sensitivity, selectivity and low operating temperature. This paper reviews the fabrication, comparison and evaluation of different nanostructured titanium dioxide sensors used in detection. After a brief description of the structural properties of , the ar(..)

DOI: 10.21307/ijssis-2017-962

Published Online: 01-December-2016

SMARTPHONE-BASED ENVIRONMENTAL SENSING USING DEVICE LOCATION AS METADATA

Kaori Fujinami

The people-centric sensing community is paying substantial attention to the smartphone as an ad hoc, low-cost, and dense sensing method because it permits people to participate easily in sensing activities, i.e., just by carrying it as usual. People carry their smartphones in various manners, rendering measurement results unreliable. For example, humidity is typically higher in a trouser pocket than around the neck as a result of sweat. In this article, we propose a platform for peoplecentric se(..)

DOI: 10.21307/ijssis-2017-963

Published Online: 01-December-2016

UNSUPERVISED GROUPING OF MOVING OBJECTS BASED ON AGGLOMERATIVE HIERARCHICAL CLUSTERING

Kaori Fujinami

In this article, we present a method to identify a grouping of sensor nodes that show similar movement patterns in an ad-hoc manner. The motivation behind the ad-hoc grouping is to allow a system to monitor complex and concrete situations of people and/or devices such as “who is/are utilizing what object(s)” and “what objects are carried together” without any supervision of human before and at the time of interaction. An agglomerative hierarchical clustering algorithm was applied to a data strea(..)

DOI: 10.21307/ijssis-2017-964

Published Online: 01-December-2016

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