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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 8 , ISSUE 3 (September 2015) - List of articles

MODIFIED CLAD OPTICAL FIBRE COATED WITH PVA/TIO2 NANO COMPOSITE FOR HUMIDITY SENSING APPLICATION

Chandra Khatuaa/ Ipsita Chinyaa/ Debdulal Saha/ Shyamal Das/ Ranjan Sen/ Anirban Dhar/ Chandra Khatuaa/ Ipsita Chinyaa/ Debdulal Sahab/ Shyamal Das/ Ranjan Sen/ Anirban Dhar

Synthesis of TiO2 nanoparticle through hydrolysis method is presented followed by TiO2-nanoparticle doped polyvinyl alcohol nanocomposite by solution process. FTIR, XRD, DSC-TGA, FESEM, TEM analysis are used to identify the nature of synthesized nanoparticle and loading uniformity of developed composite material. A simple modified clad based optical fibre sensor is developed to measure relative humidity. Coated modified clad optical fibre exhibits excellent relative humidity sensing performance (..)

DOI: 10.21307/ijssis-2017-813

Published Online: 01-September-2015

COMPENSATION OF CAPACITIVE DIFFERENTIAL PRESSURE SENSOR USING MULTI LAYER PERCEPTRON NEURAL NETWORK

Payman Moallem/ Mohammad Ali Abdollahi/ S. Mehdi Hashemi

Capacitive differential pressure sensor (CPS), which converts an input differential pressure to an output current, is extremely used in different industries. Since the accuracy of CPS is limited due to ambient temperature variations and nonlinear dependency of input and output, compensation is necessary in industries that are sensitive to pressure measurement. This paper proposes a framework for designing of CPS compensation system based on Multi Layer Perceptron (MLP) neural network. Firstly, a(..)

DOI: 10.21307/ijssis-2017-814

Published Online: 01-September-2015

AUTOMATIC RECOGNITION OF FACIAL EXPRESSION BASED ON COMPUTER VISION

Shaoping Zhu

Automatic facial expression recognition from video sequence is an essential research area in the field of computer vision. In this paper, a novel method for recognition facial expressions is proposed, which includes two stages of facial expression feature extraction and facial expression recognition. Firstly, in order to exact robust facial expression features, we use Active Appearance Model (AAM) to extract the global texture feature and optical flow technique to characterize facial expression (..)

DOI: 10.21307/ijssis-2017-815

Published Online: 01-September-2015

MODELLING OF EQUIPMENT FAILURE RATE ACCOUNTING FOR THE UNCERTAINTY

H.X. Tian/ W.F Wu/ P. Wang/ H.Z. Li

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility and credibility distribution analyzed on the basis of sample datum are used for quantifying effects of the uncertainty done to failure rate. Mathematically, the failure rate can be obtained in the interval integration. Moreover, aiming to make the calculating quantity of system reliability evaluation simple and easy, the fuzzy clustering a(..)

DOI: 10.21307/ijssis-2017-816

Published Online: 01-September-2015

Classification of artificial light sources and estimation of Color Rendering Index using RGB sensors, K Nearest Neighbor and Radial Basis Function

J.-S. Botero V./ F.-E. López G./ J.-F. Vargas B.

Three types of artificial light sources work with electricity: incandescent, fluorescent and LED. These sources require characterization processes to allow selecting the most suitable for the application, to evaluate their capacity or more recently to tune and adjust their replicability using control algorithms. Therefore, it has been necessary to develop indices that represent these capabilities. The Color Rendering Index (CRI) is a measure used to characterize the color reproducibility of a li(..)

DOI: 10.21307/ijssis-2017-817

Published Online: 01-September-2015

NEUTROSOPHIC CONCEPT LATTICE BASED APPROACH FOR COMPUTING HUMAN ACTIVITIES FROM CONTEXTS

Sangeeta Mittal/ Krishna Gopal/ S.L. Maskara

Complex human activity recognition suffers from ambiguity of interpretation problem. A novel neutrosophic formal concept analysis method has been proposed to quantify non-determinism leading to ambiguity of interpretation and utilize it in activity recognition. The method works by penalizing performance of non-deterministic activities and rewarding the deterministic ones. Thus, non- deterministic activities are identified during testing due to significantly reduced performance and contexts can b(..)

DOI: 10.21307/ijssis-2017-818

Published Online: 01-September-2015

PERFORMANCE MEASUREMENT OF PHOTOELECTRIC DETECTION AND TARGET TRACKING ALGORITHM

Haidou Yang/ Wei Li

To solve the unstable problem of target tracking detection system, this paper proposes an improved mean-shift algorithm for object tracking, establishes object tracking processing model;provides the processing algorithm of object tracking. According to the principal of object tracking, papersets up sky background brightness calculation model in photoelectric tracking optical detection area and detection capability calculation model of space object, analyzes the effect of background illumination (..)

DOI: 10.21307/ijssis-2017-819

Published Online: 01-September-2015

SIMULATION OF NOISE WITHIN BOTDA AND COTDR SYSTEMS TO STUDY THE IMPACT ON DYNAMIC SENSING

Adam Funnell/ Xiaomin Xu/ Jize Yan/ Kenichi Soga

Real-time structural health monitoring requires dynamic sensing of distributed strain and temperature. Brillouin Optical Time Domain Analysis (BOTDA) and Rayleigh Coherent Optical Time Domain Reflectometry (COTDR) are promising candidates to achieve dynamic sensing. A noise model with specific parametric simulation of independent laser and detector noise sources has been developed. Although ensemble averaging significantly enhances the signal-to-noise ratio (SNR) in both systems, its time-consum(..)

DOI: 10.21307/ijssis-2017-820

Published Online: 01-September-2015

FABRICATION OF HIGH FREQUENCY SURFACE ACOUSTIC WAVE (SAW) DEVICES FOR REAL TIME DETECTION OF HIGHLY TOXIC CHEMICAL VAPORS

Upendra Mittal/ Tarikul Islam/ A T Nimal/ M U Sharma

In this paper, a low cost fabrication of sub micron features size SAW device with conventional lithography and their application for toxic chemical vapor detection has been presented. The SAW devices with different interdigital transducer (IDT) electrodes line widths were designed and fabricated. The fabricated SAW devices features had an accuracy of ± 0.1 μm. Frequency response of the SAW devices was measured with vector network analyzer for design parameter confirmation. The fabricated devices(..)

DOI: 10.21307/ijssis-2017-821

Published Online: 01-September-2015

AUTOMATIC HUMAN DAILY ACTIVITY SEGMENTATION APPLYING SMART SENSING TECHNOLOGY

Yin Ling

Human daily activity segmentation utilizing smartphone sensing technology is quite new challenge. In this paper, the segmentation method combining statistical model and time series analysis is designed and implemented. According to designed partition procedure, real measured accelerometer datasets of human daily activities are tested. The segmentation performance of sliding window autocorrelation and minimized contrast algorithms is analysed and compared. Experiments demonstrate the effectivenes(..)

DOI: 10.21307/ijssis-2017-822

Published Online: 01-September-2015

STUDY OF THREE-DIMENSIONAL ON-LINE PATH PLANNING FOR UAV BASED ON PYTHAGOREAN HODOGRAPH CURVE

ZHANG Yi/ YANG Xiu-xia/ ZHOU Wei-wei/ ZHAO He-wei

For the demand of the UAV autonomous path planning in dynamic thread environment, the three-dimensional path planning algorithm on-line of UAV based on Pythagorean Hodograph (PH) curve is put forward. According to the UAV's current flight state such as location and speed, and the interrupt point or the target’s state, a flyable path with continuous curvature is planed out online. The roles of the key parameters are analyzed and the range of the values are given. On this basis, the distribution e(..)

DOI: 10.21307/ijssis-2017-823

Published Online: 01-September-2015

PROTOTYPING USING A PATTERN TECHNIQUE AND A CONTEXT-BASED BAYESIAN NETWORK IN MULTIMODAL SYSTEMS

Atef Zaguia/ Chakib Tadj/ Amar Ramdane-Cherif

Today, technology allows us to produce extensive multimodal systems which are totally under human control. These systems are equipped with multimodal interfaces, which enable more natural and more efficient interaction between man and machine. End users can take advantage of natural modalities (e.g. audio, eye gaze, speech, gestures, etc.) to communicate or exchange information with applications. In this work, we assume that a number of these modalities are available to the user. In this paper, (..)

DOI: 10.21307/ijssis-2017-824

Published Online: 01-September-2015

DESIGN AND IMPLEMENTATION OF INTELLIGENT INTEGRATED MEASURING AND CONTROLLING SYSTEM FOR SUGAR CANE CRYSTALLIZATION PROCESS

Yanmei Meng/ Kangyuan Zheng/ Wenxing Li/ Haifeng Pang/ Guancheng Lu/ Guangquan Li

The deficiency in existing sugar cane crystallization automatic control system is difficult to measure some key parameters on line, such as mother liquor supersaturation, mother liquor purity, crystal content and crystal size distribution. Controlling brix with PID can only reflect the massecuite concentration of sugar cane crystallization process, but it is hard to guarantee the crystal quality. During crystallization process, change of mother liquor purity will affect the crystallization rate (..)

DOI: 10.21307/ijssis-2017-825

Published Online: 01-September-2015

COMPUTER VISION-BASED COLOR IMAGE SEGMENTATION WITH IMPROVED KERNEL CLUSTERING

Yongqing Wang/ Chunxiang Wang

Color image segmentation has been widely applied to diverse fields in the past decades for containing more information than gray ones, whose essence is a process of clustering according to the color of pixels. However, traditional clustering methods do not scale well with the number of data, which limits the ability of handling massive data effectively. We developed an improved kernel clustering algorithm for computing the different clusters of given color images in kernel-induced space for imag(..)

DOI: 10.21307/ijssis-2017-826

Published Online: 01-September-2015

FRAGRANCE MEASUREMENT OF SCENTED RICE USING ELECTRONIC NOSE

Arun Jana/ Nabarun Bhattacharyya/ Rajib Bandyopadhyay/ Bipan Tudu/ Subhankar Mukherjee/ Devdulal Ghosh/ Jayanta Kumar Roy

This article describes about an instrument and method for aroma based quality detection of Basmati and other aromatic rice varieties. It comprises few modules such as odour delivery module, sniffing module, water bath module and computing module. Odour handling module helps to deliver odour to the sensor array; a sniffing unit comprising a sensor array module that includes a eight number of metal oxide semiconductor sensors assembled on a printed circuit board, said printed circuit board fitted (..)

DOI: 10.21307/ijssis-2017-827

Published Online: 01-September-2015

SELADG: SECURE ENERGY EFFICIENT LOCATION AWARE DATA GATHERING APPROACH FOR WIRELESS SENSOR NETWORKS

M. Roseline Juliana/ S. Srinivasan

Recent trends in wireless sensor networks leads to the development of new protocols for data gathering. In this paper, a secure energy efficient location aware data gathering approach is introduced to secure data gathering. An Elliptic Curve Diffie Hellman Key Exchange (ECDHKE) algorithm is utilized for key generation and key exchange between the sensor nodes to maintain security and prevent the data from malicious nodes. The performance of the proposed scheme is validated in terms of packet dro(..)

DOI: 10.21307/ijssis-2017-828

Published Online: 01-September-2015

RESEARCH ON POWER CHARACTERISTIC OF THE ELECTRIC FORKLIFT EPS SYSTEM

Yan He/ Benxian Xiao

This paper has given the structure, operating principle, and force analysis of electric power steering (EPS) system aimed at a type of forklift. Combing with forklift operating characteristic, three variable power characteristics curve based on steering wheel torque, real-time speed, and load is designed, so is the three dimensional diagram of forklift power gradient by using fuzzy rule. The dynamic model of EPS system and two-degree-of-freedom linear model of forklift dynamics are established. (..)

DOI: 10.21307/ijssis-2017-829

Published Online: 01-September-2015

DYNAMIC PERFORMANCE INFLUENCES ON HOPF BIFURCATION CHARACTERISTICS FOR VEHICLES

Haiyan Zhu/ Pingbo Wu/ Jing Zeng/ Guoyao Mai

This study compares the performance influences for four kinds of tread contour features commonly used in High-Speed trains. The Hopf bifurcation characteristic influencing the dynamic performance for VEHICLE 1 and VEHICLE 2 were analyzed using mathematical matrices models. SIMPACK software was used to create two dynamic models for VEHICLE 1 and VEHICLE 2 for high speed trains equipped with four kinds of treads matched with Chinese 60 rail. Dynamic performance indices for these models were studie(..)

DOI: 10.21307/ijssis-2017-830

Published Online: 01-September-2015

THE USE OF ARTIFICIAL NEURAL NETWORKS IN THE ESTIMATION OF THE PERCEPTION OF SOUND BY THE HUMAN AUDITORY SYSTEM

D. Riordan/ P. Doody/ J. Walsh

The human auditory system perceives sound in a much different manner than how sound is measured by modern audio sensing systems. The most commonly referenced aspects of auditory perception are loudness and pitch, which are related to the objective measures of audio signal frequency and sound pressure level. Here we describe an efficient and accurate method for the conversion of the sensed factors of frequency and sound pressure level to perceived loudness and pitch. This method is achieved throu(..)

DOI: 10.21307/ijssis-2017-831

Published Online: 01-September-2015

SENSITIVITY ANALYSIS OF HIERARCHICAL HYBRID FUZZY - NEURAL NETWORK

Xing Haihua/ Yu Xianchuan/ Hu Dan/ Dai Sha

To identify the important attributes of complex system, which is high-dimensional and contain both discrete and continuous variables, this paper proposes a sensitivity analysis method of hierarchical hybrid fuzzy - neural network. We derive the sensitivity indexes of discrete and continuous variables through the differential method. To verify the effectiveness of our method, this study employed a man-made example and a remote sensing image classification example to test the performance of our me(..)

DOI: 10.21307/ijssis-2017-832

Published Online: 01-September-2015

RESEARCH ON LATERAL STABILITY OF FOUR HUBMOTOR- IN-WHEELS DRIVE ELECTRIC VEHICLE

Biao Jin/ Chuanyang Sun/ Xin Zhang

This paper focuses on the problem of lateral stability of four hub-motor-in-wheels drive electric vehicle, 7 DOF (degrees of freedom) vehicle simulation model which is verified by field test is established based on Matlab/Simulink software. On basis of simulated model, BP neural network PID torque distribution controller of lateral stability is proposed. The sideslip angle at mass center and yaw rate are selected as the control variables, and the BP neural network PID torque distribution control(..)

DOI: 10.21307/ijssis-2017-833

Published Online: 01-September-2015

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