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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 7 , ISSUE 1 (March 2014) - List of articles

DESIGN AND CHARACTERIZATION OF AUTOMATED COLOR SENSOR SYS

Maher Assaad/ Israel Yohannes/ Amine Bermak/ Dominique Ginhac/ Fabrice Meriaudeau

The paper presents a color sensor system that can process light reflected from a surface and produce a digital output representing the color of the surface. The end-user interface circuit requires only a 3-bit pseudo flash analog-to-digital converter (ADC) in place of the conventional/typical design comprising ADC, digital signal processor and memory. For scalability and compactness, the ADC was designed such that only two comparators were required regardless of the number of color/wavelength to(..)

DOI: 10.21307/ijssis-2017-642

Published Online: 27-December-2017

The Design and Evaluation of a Strategy of Data Placement in Cloud Computing Platform

Wei Guo/ Kaibo Luo/ Xinjun Wang/ Lizhen Cui

Cloud computing has become a new platform for personal computing. However, while designing the strategy of data placement, there still lacks the consideration of systematic diversity of distributed transaction costs. This paper proposes the use of genetic algorithms to address the data placement problem in cloud computing. This strategy has adequately considered the correlation between data slices to minimize the total cost of distributed transactions. Compared to other methods, genetic algorith(..)

DOI: 10.21307/ijssis-2017-643

Published Online: 27-December-2017

FLEXIBLE E-TEXTILE SENSORS FOR REAL-TIME HEALTH MONITORING AT MICROWAVE FREQUENCIES

A. Mason/ S. Wylie/ O. Korostynska/ L. E. Cordova-Lopez/ A. I. Al-Shamma’a

This paper reports on testing of the performance of SmartLife® e-textile material. In particular, the response of the integrated conductive pathways at microwave frequencies in the region of 9 kHz to 6 GHz is investigated for both biomedical sensing and signal transmission purposes. The experimental results confirm the viability of exciting the e-textile material at ISM microwave frequencies at mW powers for the purposes of wearable non-invasive sensing. Custom made flexible microwave sensors su(..)

DOI: 10.21307/ijssis-2017-644

Published Online: 27-December-2017

PRECISE TRANSHIPPMENT CONTROL OF AN AUTOMATED MAGNETIC-GUIDED VEHICLE USING OPTICS POSITIONING

Xing Wu/ Peihuang Lou/ Ke Shen/ Guangqing Peng/ Dunbing Tang

A parking position detection and control system is developed for precise transshipment of palletized materials between an automated guided vehicle (AGV) and a load transfer station. In order to align the roller conveyer of the AGV with that of the station, it is necessary for the AGV to detect the longitudinal, lateral and orientation deviations of its body with respect to the station. A pair of magnetic sensors is used to measure the lateral and orientation deviations of the AGV relative to a m(..)

DOI: 10.21307/ijssis-2017-645

Published Online: 27-December-2017

NEW INTELLIGENT CLASSIFICATION METHOD BASED ON IMPROVED MEB ALGORITHM

Yongqing Wang/ Lei Liu

We present a simple approximate algorithm to compute the Minimum Enclosing Ball (MEB) of training samples in high dimensional Euclidean space. We prove theoretically that the proposed algorithm converges to the optimum within any precision quickly. Compared to popular MEB algorithms, it has the competitive performances on both training time and accuracy. Besides, the proposed algorithm does not need any extra requirement on kernels, it can be linked with extensive kernel methods, consequently. W(..)

DOI: 10.21307/ijssis-2017-646

Published Online: 27-December-2017

STUDY OF VISION BASED HAND GESTURE RECOGNITION USING INDIAN SIGN LANGUAGE

Archana S. Ghotkar/ Dr. Gajanan K. Kharate

Human Computer Interaction moves forward in the field of sign language interpretation.Indian Sign Language (ISL) Interpretation system is a good way to help the Indian hearing impaired people to interact with normal people with the help of computer. As compared to other sign languages, ISL interpretation has got less attention by the researcher. In this paper, some historical background, need, scope and concern of ISL are given. Vision based hand gesture recognition system have been discussed as(..)

DOI: 10.21307/ijssis-2017-647

Published Online: 27-December-2017

AN ARTIFICIAL IMMUNE NETWORK CLUSTERING ALGORITHM FOR MANGROVES REMOTE SENSING IMAGE

Yanmin LUO/ Peizhong LIU/ Minghong LIAO

Because of not needing training samples and performing the classification just according to the inherent similarity of data in the multidimensional space, unsupervised classification method now gets more and more attention by remote sensing data analyst. Duo to the special growth environment of mangroves, field measurements is difficult to be done to obtain training samples. Therefore unsupervised method provides a good adjunct way for the classification of mangroves remote sensing image. This p(..)

DOI: 10.21307/ijssis-2017-648

Published Online: 27-December-2017

A NOVEL PACKET QUEUING AND SCHEDULING ALGORITHM AND ITS LINK SHARING PERFORMANCE FOR HOME ROUTER

Jin Yan/ Chen Xiaoyuan

A home router, or a home gateway, is the node that resides between a public network and a home network for computers to share Internet connections. To insert customized queuing and scheduling codes into the embedded Linux kernel is a way to make the Linux-based home routers support Quality of Service (QoS). It is desirable that the small Linux kernel adopts an efficient queuing and scheduling algorithm to support link sharing, priority and traffic shaping. The algorithm presented in this paper i(..)

DOI: 10.21307/ijssis-2017-649

Published Online: 27-December-2017

AN INTELLIGENT FLOOD CONTROL DECISION SUPPORT SYSTEM FOR DIGITAL URBAN MANAGEMENT

Guanlin Chen/ Xinxin Sun/ Shengquan Li/ Jiang He/ Jiawei Zhang

Digital Urban Management has become a trend in the development of contemporary cities. This paper presents the design and implementation of an intelligent flood control decision support system (IFCDSS) using statistical analysis to determine the relationship between the data, and integrate data mining technology for digital urban management based on Java EE. The system also provides location-based decision making in urban management by using the Baidu Maps API.

DOI: 10.21307/ijssis-2017-650

Published Online: 27-December-2017

NANOSTRUCTURED ZnCo2O4THICK FILM AS AN ETHANOL SENSOR

S. V. Bangale

Semiconductive nanometer-size material ZnCo2O4 was synthesized by a solution combustion reaction of inorganic reagents of Zn(NO3)3. 6H2O, Co(NO3)3.6H2O and glycine as a fuel. The process was a convenient, environment friendly, inexpensive and efficient preparation method for the ZnCo2O4 nanomaterial. The synthesized materials were characterized by TG/DTA, XRD, EDX, SEM, and TEM. Conductance responses of the nanocrystalline ZnCo2O4 thick film were measured by exposing the film to reducing gases l(..)

DOI: 10.21307/ijssis-2017-651

Published Online: 27-December-2017

SIGNAL SENSING BY THE ARCHITECTURE OF EMBEDDED I/O PAD CIRCUITS

Shen-Li Chen/ Yang-Shiung Cheng

In this study, the detecting structures in an embedded CUP wafer, which are called sensors,are investigated through a contactless sensing analysis. These novel sensing structures, which were designed using the ADS 2009 platform and the design rules for the TSMC 0.18-μm CMOS process, were placed under bonding pads. However, signals would still pass through these I/O sensing structures (i.e., ESD devices or circuits) and become coupled up to the pads of the top-layer metal as square, sinusoidal, o(..)

DOI: 10.21307/ijssis-2017-652

Published Online: 27-December-2017

PARETO OPTIMAL ROBUST FEEDBACK LINEARIZATION CONTROL OF A NONLINEAR SYSTEM WITH PARAMETRIC UNCERTAINTIES

A. Hajiloo/ M. samadi/ N. Nariman-Zadeh

The problem of multi-objective robust feedback linearization controller design of nonlinear system with parametric uncertainties is solved in this paper. The main objective of this paper is to propose an optimal technique to design a robust feedback linearization controller with multi-objective genetic algorithm. A nonlinear system is considered as a benchmark and feedback linearization controller is designed for deterministic and probabilistic model of the benchmark. Three and four conflicting (..)

DOI: 10.21307/ijssis-2017-653

Published Online: 27-December-2017

THE RESEARCH ON CAB SIMULATOR OF QUAY CRANE CONTAINERS ON CLASSICAL WASHOUT ALGORITHM

Xiaowei Shi/ Yiteng Xu/ Youfang Huang/ Houjun Lu

The acceleration of the speed of the quay crane for containers has raised a higher demand to the dynamic simulation system which is the key part of the simulator in the coast container crane. So it is very necessary to do this research on it. This essay, aimed at the seat motion system of training simulator in the coast container crane, lays a study on the key points in the design of the proprioceptive simulation algorithm of the bridge crane simulator and proposes the realization method for it.(..)

DOI: 10.21307/ijssis-2017-654

Published Online: 27-December-2017

A Lexicon-Corpus-based Unsupervised Chinese Word Segmentation Approach

Lu Pengyu/ Pu Jingchuan,/ Du Mingming/ Lou Xiaojuan/ Jin Lijun

This paper presents a Lexicon-Corpus-based Unsupervised (LCU) Chinese word segmentation approach to improve the Chinese word segmentation result. Specifically, it combines advantages of lexicon-based approach and Corpus-based approach to identify out-of-vocabulary (OOV) words and guarantee segmentation consistency of the actual words in texts as well. In addition, a Forward Maximum Fixed-count Segmentation (FMFS) algorithm is developed to identify phrases in texts at first. Detailed rules and ex(..)

DOI: 10.21307/ijssis-2017-655

PERCEPTUAL HASHING ALGORITHM FOR SPEECH CONTENT IDENTIFICATION BASED ON SPECTRUM ENTROPY IN COMPRESSED DOMAIN

Zhang Qiu-yu/ Liu Yang-wei/ Huang Yi-bo/ Xing Peng-fei/ Yang Zhong-ping

This paper proposes a new perceptual hashing algorithm for speech content identification with compressed domain based on MDCT (Modified Discrete Cosine Transform) Spectrum Entropy. It aims primarily to solve problems of large computational complexity and poor real-time performance that appear when applying traditional identification methods to the compressed speeches. The process begins by extracting the MDCT coefficients, which are the intermediately decoded results of compressed speeches in MP(..)

DOI: 10.21307/ijssis-2017-656

Published Online: 27-December-2017

SELF-TUNING FUZZY SPEED CONTROLLER OF TRAVELLING WAVE ULTRASONIC MOTOR

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

Aiming at the nonlinear characteristic of ultrasonic motor, some control strategies have been proposed to control the rotating speed of ultrasonic motor. But most of these strategies are too complex to realize using a low-cost embedded device. In this paper, a simple fuzzy speed controller is designed for ultrasonic motor. Until now, there has no mature and theoretic design method of fuzzy controller. Therefore, experience of expert is often used as the base of design. It makes the design of fuz(..)

DOI: 10.21307/ijssis-2017-657

Published Online: 27-December-2017

RESEARCH ON CHIPS’ DEFECT EXTRACTION BASED ON IMAGE-MATCHING

Daode Zhang

DOI: 10.21307/ijssis-2017-658

Published Online: 27-December-2017

EVALUATION OF DIFFERENT SENSING APPROACHES CONCERNING TO NONDESTRUCTIVE ESTIMATION OF LEAF AREA INDEX (LAI) FOR WINTER WHEAT

H. Tavakoli/ S.S. Mohtasebi/ R. Alimardani/ R. Gebbers

Different approaches of non-destructive estimation of the LAI in winter wheat were compared. Plant height had weak relation with the LAI, while estimated biomass showed high logarithmic relationship (R2=0.839). NDRE and REIP were logarithmically well related to the LAI (R2=0.726 and 0.779 respectively). Saturation effect of NDRE and REIP was less than NDVI. Some RGB-based indices also showed good potential to estimate the LAI. Among the indices, Gm, GMB, RMB, and NRMB were better related to the (..)

DOI: 10.21307/ijssis-2017-659

Published Online: 27-December-2017

MOVING TARGET DETECTION BASED ON GLOBAL MOTION ESTIMATION IN DYNAMIC ENVIRONMENT

GAO Jun-chai/ LIU Ming-yong/ XU Fei

AUV localization is not accurate based on sequence images if moving target is as landmark,so the moving target detection algorithm is studied based on global motion estimation, which detects and eliminates moving target according to the motion inconsistency of the moving target. Generally grid block matching is used in the global motion estimation, it can’t effectively dispose the dynamic background, and the gradient direction invariant moments descriptors method of free circular neighborhood ba(..)

DOI: 10.21307/ijssis-2017-660

Published Online: 27-December-2017

Active Modeling Based Yaw Control of Unmanned Rotorcraft

Yan Peng/ Wenqing Guo/ Mei Liu/ Shaorong Xie

With the characteristics of input nonlinearity, time-varying parameters and the couplings between main and tail rotor, it is difficult for the yaw dynamics of Rotorcraft to realize good tracking performance while maintaining stability and robustness simultaneously. In this paper, a new kind of robust controller design strategy based on active modeling technique is proposed to attenuate the uncertainties pre-described in the yaw control of unmanned systems. Firstly, by detailed analysis, the unce(..)

DOI: 10.21307/ijssis-2017-661

Published Online: 27-December-2017

PREDISTORTION SYSTEM IMPLEMENTATION BASED ON ANALOG NEURAL NETWORKS FOR LINEARIZING HIGH POWER AMPLIFIERS TRANSFER CHARACTERISTICS

B. Mulliez/ E. Moutaye/ H. Tap/ L Gatet/ F. Gizard

In order to correct non-linearities due to High Power Amplifiers (HPA) operating near saturation in telecommunication transceivers, a new adaptive predistortion system based on analog Neural Networks (NNs) was developed. Based on size, consumption and bandwidth considerations, Multi-Layer Perceptron (MLP) type NNs were implemented in a 0.6 μm CMOS ASIC. The NNs parameters are digitally updated with a computer, depending on simulation conditions (temperature drifts, ageing variations). The interf(..)

DOI: 10.21307/ijssis-2017-662

Published Online: 27-December-2017

DETECTING LASER SPOT IN SHOOTING SIMULATOR USING AN EMBEDDED CAMERA

Aryuanto Soetedjo/ Ali Mahmudi/ M. Ibrahim Ashari/ Yusuf Ismail Nakhoda

This paper presents the application of an embedded camera system for detecting laser spot in the shooting simulator. The proposed shooting simulator uses a specific target box, where the circular pattern target is mounted. The embedded camera is installed inside the box to capture the circular pattern target and laser spot image. To localize the circular pattern automatically, two colored solid circles are painted on the target. This technique allows the simple and fast color tracking to track t(..)

DOI: 10.21307/ijssis-2017-663

Published Online: 27-December-2017

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