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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 11 , ISSUE 1 (May 2018) - List of articles

MEMS Seismic Sensor with FPAA-Based Interface Circuit for Frequency-Drift Compensation Using ANN

Ramesh Pawase/ Dr. N.P. Futane

Electrochemical micro-electro mechanical systems (MEMS) seismic sensor is limited by its nonideality of frequency dependent characteristics hence interface circuits for compensation is necessary. The conventional compensation circuits are limited by high power consumption, bulky external hardware. These digital circuits are limited by inherent analog to digital conversions which consumes significant power, acquires more size and limits processing speed. This system presents field programmable an(..)

DOI: 10.21307/ijssis-2018-001

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

Carlos Robles Algarín/ Roberto Liñán Fuentes/ Adalberto Ospino Castro

This paper presents the implementation of a fuzzy controller on the Arduino Mega board, for tracking the maximum power point of a photovoltaic (PV) module; using low cost materials. A dc–dc converter that incorporates a driver circuit to control the turning on and off of the Mosfet transistor was designed. The controller was evaluated in a PV system consisting of a 65 W PV module and a 12 V/55Ah battery. The results demonstrate the superiority of the fuzzy controller compared to the traditional (..)

DOI: 10.21307/ijssis-2018-002

Patient-centric health-care data processing using streams and asynchronous technology

Kenneth Mbuthia/ Jin Dai/ Stavros Zavrakas/ Jize Yan

This paper describes a system in detail, which takes in depersonalized data collected by a patient medication management system, carries out reformatting and basic calculations on the data, then stores the resulting information into a database for retrieval, visualization, and further analysis. An investigation is also carried out to create a new way of developing a data analysis application that is efficient and simple to create/code, while avoiding the use of overly complicated libraries to bo(..)

DOI: 10.21307/ijssis-2018-003

New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key

Emy Setyaningsih/ Retantyo Wardoyo/ Anny Kartika Sari

This research proposes New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key (CEA-CBDSK) to encrypt image data. CEA-CBDSK consists of an algorithm to generate initial symmetric keys and an algorithm to encrypt image data using four dynamic session keys derived from the initial keys. The key generation uses Discrete Wavelet Transform, Arnold Cat Map, and Cipher Block Chaining, while the image encryption is performed using the session keys produced by the chaotic logistic map (..)

DOI: 10.21307/ijssis-2018-004

Circuit Design and Experimental Investigations for a Predator–Prey Model

Afef Ben Saad/ Ali Hmidet/ Olfa Boubaker

Abstract In recent years, dynamical relationship between species in ecology has been intensively investigated and will continue to be one of the most significant themes. The dynamics of predator–prey’s systems are at the heart of these studies. Such models are generally depicted by nonlinear polynomials and exhibit many complex nonlinear phenomena. In this paper, not only a prey–predator model displaying richer dynamical behaviors is analyzed but also its electronic circuit is also designed via (..)

DOI: 10.21307/ijssis-2018-010

Mobile Wireless Sensor Networks in a Smart City

Jorge Gomez-Rojas/ Luis Camargo/ Ruben Montero

This research supports the possibility of implementing in a smart city, a wireless sensor network, with sensitive nodes in movements implemented in public transport system vehicles and static sink nodes located in a vehicular intersection. The methodology contemplates the influence of mobility in obtaining the parameters of network operation, through mathematical models and probabilistic calculations of the data collected through measurement campaigns carried out in a real traffic light intersec(..)

DOI: 10.21307/ijssis-2018-009

Published Online: 03-September-2018

A Context-aware Smart Classroom for Enhanced Learning Environment

Moeiz Miraoui

Research on smart spaces represents one of the most innovative work being done recently. One of the interesting applications of smart spaces is the smart classroom. It aims at using new technologies and tools to provide adaptive, comfortable and personalized learning which supports and facilitates the learning operation. Often instructors waste a precious time of theirs courses on tasks not directly related to the course content especially adjusting several times both the light system of the cla(..)

DOI: 10.21307/ijssis-2018-007

Implementation of 144 × 64 Pixel Array Bezel-Less Cmos Fingerprint Sensor

Seungmin Jung

This paper proposes CMOS integrated 144 × 64 pixel array fingerprint sensor without a bezel electrode. In this paper, the architecture of CMOS capacitive fingerprint sensor readout circuit is presented for general type of a switched capacitive integrator scheme. The pipelined scan driver is included in the fingerprint sensor for fast image capture. It is implemented on 0.35 μm standard CMOS process technology. The operation is validated by SPECTRE for one-pixel and RTL simulation including logic(..)

DOI: 10.21307/ijssis-2018-013

Multi-algorithmic Palmprint Authentication System Based on Score Level Fusion

C. Murukesh/ G. Arul Elango

Fusion of multiple algorithms utilizes as much information as possible from each algorithm for enhancing the performance of the biometric authentication system. It is a big challenge to formulate a single algorithm for any biometric authentication system to addresses the problem of illumination, orientations and pose variations. The palmprint features are extracted using two feature extraction algorithms namely contourlet transform with principal component analysis and dual-tree complex wavelet (..)

DOI: 10.21307/ijssis-2018-006

Calibration Method for the Wavelength and Uniformity of Pixel Response in Photodetector Arrays

J.-S. Botero-Valencia/ J. Valencia-Aguirre/ D.A. Marquez-Viloria/ J.-F. Vargas-Bonilla/ A. Gallardo-del Angel

Digital cameras are photodetector arrays that respond to particular bands of the electromagnetic spectrum, and specifically those in the visible spectrum between 380 and 780 nm are the most commonly used. The main cameras function is store the image from an aesthetic point of view, when these are used in home applications. For this reason, several processes are used in image reconstruction to improve the visual appearance, even from the manufacturing process of sensor decreasing the possibility (..)

DOI: 10.21307/ijssis-2018-008

Technical Features and Functionalities of Myo Armband: An Overview on Related Literature and Advanced Applications of Myoelectric Armbands Mainly Focused on Arm Prostheses

P. Visconti/ F. Gaetani/ G.A. Zappatore/ P. Primiceri

Technological advances in manufacturing smart high-performances electronic devices, increasingly available at lower costs, nowadays allow one to improve users’ quality of life in many application fields. In this work, the human–machine interaction obtained by using a next generation device (Myo armband) is analyzed and discussed, with a particular focus to healthcare applications such as upper-limb prostheses. An overview on application fields of the Myo armband and on the latest research works (..)

DOI: 10.21307/ijssis-2018-005

A Sensor-Based Forage Monitoring of Grazing Cattle in Dairy Farming

J. Suganthi Jemila/ S. Suja Priyadharsini

In this proposed work, the feeding behavior of cow is analyzed to monitor its health condition, through the detection of three most common events of grazing activity such as chew, bite, and chew–bite. A healthy cow should have a good means of chew, bite, and chew–bite habits. Hence, an unhealthy cow can be easily identified by its grazing activities and treated immediately. Here, a wearable and compact device is developed, which is used to monitor the grazing events. The device consists of Ardui(..)

DOI: 10.21307/ijssis-2018-014

Published Online: 11-October-2018

ECG Decision Support System based on feedforward Neural Networks

Hela Lassoued/ Raouf Ketata/ Slim Yacoub

Abstract The success of an Electrocardiogram (ECG) Decision Support System (DSS) requires the use of an optimum machine learning approach. For this purpose, this paper investigates the use of three feedforward neural networks; the Multilayer Perceptron (MLP), the Radial Basic Function Network (RBF), and the Probabilistic Neural Network (PNN) for recognition of normal and abnormal heartbeats. Feature sets were based on ECG morphology and Discrete Wavelet Transformer (DWT) coefficients. Then, a co(..)

DOI: 10.21307/ijssis-2018-029

A new HGA-FLVQ model for Mycobacterium Tuberculosis detection

N. Charibaldi/ A. Harjoko/ B. Hisyam

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 FL(..)

DOI: 10.21307/ijssis-2018-028

Results of Simulation and Physical Modeling of the Computerized Monitoring and Control System for Greenhouse Microclimate Parameters

I. S. Laktionov/ O. V. Vovna/ A. A. Zori/ V. A. Lebedev

The article focuses on the research results concerning development and laboratory testing of simulation and physical models of the computerized monitoring and control system for industrial greenhouse microclimate parameters. The simulation model of the system has been developed and tested in the environment of Proteus computer-aided design. The hardware component has been substantiated and implemented, and the software of the system physical model has been developed by using modern microprocesso(..)

DOI: 10.21307/ijssis-2018-017

Published Online: 07-February-2019

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