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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 2 (June 2015) - List of articles

A COMPARATIVE STUDY IN THE SENSITIVITY OF OPTICAL FIBER REFRACTOMETERS BASED ON THE INCORPORATION OF GOLD NANOPARTICLES INTO LAYERBY-  LAYER FILMS

Pedro J. Rivero/ Miguel Hernaez/ Javier Goicoechea/ Ignacio R. Matías/ Francisco J. Arregui

In this work, optical fiber refractometers based on the successive incorporation of gold nanoparticles have been fabricated by means of the Layer-by-Layer Embedding (LbL-E) deposition technique. This enables the apparition of two different optical phenomena, Localized Surface Plasmon Resonance (LSPR) and Lossy Mode Resonance (LMR). The absorption peaks related to both phenomena were captured during the fabrication process, showing a different evolution as a function of the resultant thickness co(..)

DOI: 10.21307/ijssis-2017-785

Published Online: 01-June-2015

LINE-OF-SIGHT BASED 3D LOCALIZATION OF PARALLEL KINEMATIC MECHANISMS

Erkai Zhou/ Mengzhe Zhu/ Alexander Hong/ Goldie Nejat/ Beno Benhabib

Autonomous robots (manipulators or vehicles) may accumulate significant errors during their long-range motion to a desired position and orientation (pose). These errors, however, can be compensated for by subsequent local, short-range corrective actions to within random noise levels of the system. This paper presents a generic localization method for high-precision parallel kinematic mechanisms (PKMs) in order to allow them to accurately achieve their desired poses. The proposed method employs a(..)

DOI: 10.21307/ijssis-2017-786

Published Online: 01-June-2015

WSN BASED THERMAL MODELING: A NEW INDOOR ENERGY EFFICIENT SOLUTION

Yi Zhao/ Valentin Gies/ Jean-Marc Ginoux

In this paper, we proposed to use the Efficient Indoor Thermal Time Constant (EITTC) to characterize the indoor thermal response in old buildings. Accordingly, a low cost, energy-efficient, wide-applicable indoor thermal modeling solution is developed by combining Wireless Sensor Network (WSN) and Artificial Neural Network (ANN). Experiments on both prototype and building room showed consistent results that the combination of WSN and ANN can provide accurate indoor thermal models. A linear appro(..)

DOI: 10.21307/ijssis-2017-787

Published Online: 01-June-2015

METHOD OF OPTIMAL MEASUREMENT STRATEGY FOR ULTRA-HIGH-PRECISION MACHINE IN ROUNDNESS NANOMETROLOGY

Salah H. R. Ali

Talyrond-TR is a modern sensitive instrument in nanometrology. The performance of Talyrond-TR machine is very important to find an optimal result in roundness measurement. In this paper, the experimental evaluation method of Talyrond-TR 73 machine is designed by using reference standard hemisphere. The influence of Talyrond machine performance in roundness measurement is presented. Signal responses of ten metrological strategic parameters have been analyzed and discussed. Deviation in roundness (..)

DOI: 10.21307/ijssis-2017-788

Published Online: 01-June-2015

AN ADVANCED NONLINEAR SIGNAL MODEL TO ANALYZE PULSATION-DERIVED PHOTOPLETHYSMOGRAM SIGNALS

H. Ozaki/ Y. Omura

This paper proposes an advanced nonlinear signal model to handle the intrinsic nonlinearity of the pulsation of photoplethysmogram (PPG) signals and so permit their assessment. This model consists of three-different sinusoidal source signals and it successfully reproduces the primary harmonic, the second harmonic, the respiratory and the other spectra stemming from the interaction of the three source signals. We demonstrate the potential of the model in various experiments on PPG signals. It is (..)

DOI: 10.21307/ijssis-2017-789

Published Online: 01-June-2015

BUILDING A PARALLEL DECISION-MAKING SYSTEM BASED ON RULE-BASED CLASSIFIERS IN MOLECULAR ROBOTICS

Wibowo Adi/ Kosuke Sekiyama

Controlled drug delivery based on cellular components can be achieved by exploiting disease-specific properties, but these require a rapid, sensitive, and selective method of detection in a biomolecular system. We propose a parallel decision-making system for disease detection and classification based on the fact that DNA computing along with biomolecular systems can be subjected to massively parallel processing. We designed and programmed a DNA strand displacement reaction to implement rule-bas(..)

DOI: 10.21307/ijssis-2017-790

Published Online: 01-June-2015

APPLICATIONS OF MULTI-TOUCH TABLETOP DISPLAYS AND THEIR CHALLENGING ISSUES: AN OVERVIEW

Ahsanullah / Suziah Sulaiman/ Ahmad Kamil Bin Mahmood/ Muzafar Khan/ Mustafa Madni

Multi-touch tabletop displays provide a co-located collaborative workspace for multiple users around a physical table. They sit together and perform collaborative interaction to select and manipulate digital contents using their bare fingers. However, these systems bring a new paradigm shift in user interaction and present various challenges to design natural user interfaces respectively. The growing popularity of tabletop displays and their related issues have gained a greater attention among r(..)

DOI: 10.21307/ijssis-2017-791

Published Online: 01-June-2015

DESIGN OF COMPLICATED DUPLICATE IMAGE REPRESENTATION APPROACH BASED ON DESCRIPTOR LEARNING

Yongjiao Wang/ Xiaojie Du/ Lei Liang

In order to solve the low discrimination of image representations in complicated duplicate image detection, this paper presents a complicated duplicate image representation approach based on descriptor learning. This approach firstly formulates objective function as minimizing empirical error on the labeled data. Then the tag matrix and the classification matrix of training dataset are brought into the objective function to ensure semantic similarity. Finally, by relaxing the constraints, we can(..)

DOI: 10.21307/ijssis-2017-792

Published Online: 01-June-2015

DESIGN AND IMPLEMENTATION STEGANOGRAPHY SYSTEM BY USING VISIBLE IMAGE

Hamdan Lateef Jaheel/ Zou Beiji/ Ahmed Lteef Jaheel

Steganography refers to the technique of concealing secret information into another cover-media, such as audio, video, image and text in such a manner that the very existence of the information is camouflaged while secret is kept from the knowing of attacker. Watermarking is closely related to Stenography except that it hides information in cover object. Watermarking usually serves the purpose of copyright protection and ownership authentication, for example, watermarking can hide a stego-image (..)

DOI: 10.21307/ijssis-2017-793

Published Online: 01-June-2015

AUTOMATIC SEGMENTATION OF BRAIN TUMOR MAGNETIC RESONANCE IMAGING BASED ON MULTI-CONSTRAINS AND DYNAMIC PRIOR

Liu Erlin/ Wang Meng/ Teng Jianfeng/ Li Jianjian

The most difficult and challenging problem in medical image analysis is image segmentation. Due to the limited imaging capability of magnetic resonance (MR), the sampled magnetic resonance images from clinic always suffer from noise, bias filed (also known as intensity non-uniformity), partial volume effects and motive artifacts. In additional, for the complex shape boundary and topology of brain tissues and structures, segmenting magnetic resonance image of brain tumor fast, accurately and robu(..)

DOI: 10.21307/ijssis-2017-794

Published Online: 01-June-2015

IMMERSIVE LEARNING SUPPORT SYSTEM BASED ON KINECT SENSOR FOR CHILDREN TO LEARN ABOUT PALEONTOLOGICAL ENVIRONMENTS

T. Nakayama/ R. Yoshida/ T. Nakadai/ T. Ogitsu/ H. Mizoguchi/ K. Izuishi/ F. Kusunoki/ K. Muratsu/ R. Egusa/ S. Inagaki

This paper proposes a simulation-based environmental learning support system, based on Kinect sensors, which is currently under development. Our system animates paleontological animals and their habitats on a display in synchronization with learners’ actions, immersing learners in a real-life paleontological environment. We evaluated the system by recording real-time measurements of learners’ movements, and controlled the animation based on sensor output. Participants were subsequently interview(..)

DOI: 10.21307/ijssis-2017-795

Published Online: 01-June-2015

TARGET RECOGNITION BASED ON ROUGH SET WITH MULTI-SOURCE INFORMATION

Cheng Zengping

As the attributes provided by multi-source information can be used to distinguish between the different species of targets, attributes recognition becomes the most important work in target recognition. In this paper, a new method for attributes recognition was proposed with rough set theory. It used a new way to described the target with a information system consisting of four elements, reduced the attribute value according to the mission requirements, valuated the attribute based on the degree (..)

DOI: 10.21307/ijssis-2017-796

Published Online: 01-June-2015

ENHANCED IRIS RECOGNITION BASED ON IMAGE MATCH AND HAMMING DISTANCE

Gao Xiaoxing/ Feng Sumin/ Cui Han

Iris recognition and favor because of its high recognition rate, noninvasive and simple algorithm and other advantages, in a variety of biometric identification technology is very prominent. The iris texture feature extraction is the core of the iris recognition algorithm. Fractal geometry theory provides new ideas and methods to express nonlinear image information, the fractal dimension is an important parameter of fractal geometry, is a measure of complexity of irregular change, covering blank(..)

DOI: 10.21307/ijssis-2017-797

Published Online: 01-June-2015

RESEARCH ON CAMERA-BASED HUMAN BODY TRACKING USING IMPROVED CAM-SHIFT ALGORITHM

Jiude Li

Camera-based human body detection and tracking is an important research subject of computer vision, which has a widely used in the field of military and civil. In this paper, we focus on the technology of human body tracking based on improved camshaft algorithm. Firstly, we introduce some common image noise reduction algorithms. By combination the frame difference and background subtraction methods, an improved moving target detection algorithm is proposed, by which the whole region of target ca(..)

DOI: 10.21307/ijssis-2017-798

Published Online: 01-June-2015

FUSION ALGORITHM OF OPTICAL IMAGES AND SAR WITH SVT AND SPARSE REPRESENTATION

Yin Zhouping

Due to the different imaging mechanism of optical image and Synthetic Aperture Radar (SAR) image, they have the large different characteristics between the images, so fusing optical image and SAR image with image fusion technology could complement advantages and be able to better interpret the scenes information. A fusion algorithm of Synthetic Aperture Radar and optical image with fast sparse representation on low-frequency images was proposed. For the disadvantage of target information easily (..)

DOI: 10.21307/ijssis-2017-799

Published Online: 01-June-2015

AN ENERGYEFFICIENT ROUTING FOR VEHICULAR AD HOC NETWORKS USING REAL-TIME PERCEPTION OF NODE INFORMATION

Zhongwei CUI/ Yong CHAO/ Daoyun XU/ Yu ZUO

Integrating recent years’ results and analyzing the VANET (Vehicular ad hoc networks), taking the important role of mobile nodes into account a vehicular opportunity route based on real-time information (VORI) is proposed. VORI uses mobile nodes to collect real time area information, and construct hot area for best inter-area selecting with the information to help delivery message. VORI is consisting of node position query and data transmission. The limited query reduces the number of query copi(..)

DOI: 10.21307/ijssis-2017-800

Published Online: 01-June-2015

OPPOSITION-BASED LEARNING PARTICLE SWARM OPTIMIZATION OF RUNNING GAIT FOR HUMANOID ROBOT

Liang Yang/ Song Xijia/ Chunjian Deng

This paper investigates the problem of running gait optimization for humanoid robot. In order to reduce energy consumption and guarantee the dynamic balance including both horizontal and vertical stability, a novel running gait generation based on opposition-based learning particle swarm optimization (PSO) is proposed which aims at high energy efficiency with better stability. In the proposed scheme of running gait generation, a population initiation policy based on domain knowledge is employed,(..)

DOI: 10.21307/ijssis-2017-801

Published Online: 01-June-2015

INVESTIGATION ON PHOTOELECTRIC THEODOLITE DATA PROCESSING AND RANDOM ERRORS MODEL

Xiang Hua/ Jinjin Zhang/ Bin Lei

Measure error of photoelectric theodolite would influence result precision when tracking flight target. This paper researches error problem of testing. It analyses all the causes of error forming, divides them to several sorts: system error, random error and outlier error, then provides resolution method to each sort. Especially for random error, it builds an error model, analyses the properties of unbiased, equal variance and uncorrelated, conducts best error estimate, discuss the relationship (..)

DOI: 10.21307/ijssis-2017-802

NOVEL MULTI-CLASS SVM ALGORITHM FOR MULTIPLE OBJECT RECOGNITION

Yongqing Wang/ Yanzhou Zhang

Object recognition is a fundamental task in applications of computer vision, which aims at detecting and locating the interested objects out of the backgrounds in images or videos, and can be originally formulated as a binary classification problem that can be effectively handled by binary SVM. Although the binary technique can be naturally extended to solve the multiple object recognition, which are known as one-vs.-one and one-vs.-all techniques, but the scalability of traditional methods tend(..)

DOI: 10.21307/ijssis-2017-803

Published Online: 01-June-2015

COMPRESSIVE SENSING BY COLPITTS CHAOTIC OSCILLATOR FOR IMAGE SENSORS

Li Liu/ Peng Yang/ Jianguo Zhang/ Guifen Wei

Compressive sensing uses simultaneous sensing and compression to provide an efficient image acquisition technique and it has been demonstrated in optical and electrical image sensors. To guarantee exact recovery from sparse measurements, specific sensing matrix, which satisfies the Restricted Isometry Property (RIP), should be well chosen. Toeplitz-structured chaotic sensing matrix constructed by Logistic map has been proved to satisfy RIP with high probability. In this paper, we propose that ch(..)

DOI: 10.21307/ijssis-2017-804

Published Online: 01-June-2015

BREATH ACETONE-BASED NON-INVASIVE DETECTION OF BLOOD GLUCOSE LEVELS

Anand Thati/ Arunangshu Biswas/ Shubhajit Roy Chowdhury/ Tapan Kumar Sau

There has been a constant demand for the development of non-invasive, sensitive glucose sensor system that offers fast and real-time electronic readout of blood glucose levels. In this article, we propose a new system for detecting blood glucose levels by estimating the concentration of acetone in the exhaled breath. A TGS822 tin oxide (SnO2) sensor has been used to detect the concentration of acetone in the exhaled air. Acetone in exhaled breath showed a correlation with the blood glucose level(..)

DOI: 10.21307/ijssis-2017-805

Published Online: 01-June-2015

IDENTIFICATION AND DETECTION OF DEFECT IN METAL CASING

Yinchuan WU/ Baolong GUO

Based on the propagation rules of electromagnetic waves in metal conductors, this paper analyzes the characteristics of electric field and magnetic field of internal conductors. Then the complex power of electromagnetic wave is calculated. The impedance calculation formula of metal conductor is derived. Moreover, in order to identify and detect defects of metal casing, an alternating current impedance measuring method for the metal casing is proposed by changing the alternating current frequency(..)

DOI: 10.21307/ijssis-2017-806

Published Online: 01-June-2015

A NOVEL KNOWLEDGE-COMPATIBILITY BENCHMARKER FOR SEMANTIC SEGMENTATION

Vektor Dewanto/ Aprinaldi / Zulfikar Ian/ Wisnu Jatmiko

The quality of a semantic annotation is typically measured with its averaged class-accuracy value, whose computation requires scarce ground-truth annotations. We observe that humans accumulate knowledge through their vision and believe that the quality of a semantic annotation is proportionally related to its compatibility with the vision-based knowledge. We propose a knowledge-compatibility benchmarker, whose backbone is a regression machine. It takes as input a semantic annotation and the visi(..)

DOI: 10.21307/ijssis-2017-807

Published Online: 01-June-2015

A STUDY ON OPTIMIZATION METHODS OF X-RAY MACHINE RECOGNITION FOR AVIATION SECURITY SYSTEM

Ning Zhang

Traditional X-ray machine image recognition methods for airport security system have difficulties in recognition and are prone to result in recognition errors due to the impact of placing angle, density and volume of detected objects. This paper accurately describes the image features of X-ray machine visual image, carries out SVM classification after a visual dictionary is formed and enhances the accuracy of image discrimination by means of robust acceleration. The experimental results indicate(..)

DOI: 10.21307/ijssis-2017-808

Published Online: 01-June-2015

PERFORMANCE BOUND ANALYSIS ON TRANSMIT ANTENNAS SELECTION SYSTEMS CONSIDERING ERRONEOUS CHANNEL INFORMATION

Mingjie Zhuang

We consider multiple-inputs-single-output (MISO) systems equipped with N transmit and single receive antennas, and concentrate on transmit antenna selection (TAS) for flat Rayleigh fading channels. We assume perfect channel state information (CSI) at receiver and imperfect CSIs through an feedback link at transmitter. The metric of TAS are those with the largest instantaneous signal-tonoise ratio (SNR), the best 2 out of N available transmit antennas always are selected. We use Alamouti encoding(..)

DOI: 10.21307/ijssis-2017-809

Published Online: 01-June-2015

DESIGN OF AN INTELLIGENT CAR FOR SEARCHING TRACK AND AVOIDING OBSTACLES

Degang Yang/ Tingya Liu/ Chunyan Hu

With the rapid development of informational and intelligent technology, the mobile robot has become an important branch of robot. In this paper, through UP-InnoSTARTM robot kits for the chassis and MultiFLEXTM 2-PXA270 controller for the control core, we design an intelligent car. It uses infrared proximity sensors to detect obstacles and gray-scale sensors to search the track. And the main functions are: autonomously recognizing the trajectory, searching it steadily, making quick judgment and t(..)

DOI: 10.21307/ijssis-2017-810

Published Online: 01-June-2015

DEVELOPMENT OF WIRELESS SENSOR NETWORK USING BLUETOOTH LOW ENERGY (BLE) FOR CONSTRUCTION NOISE MONITORING

Josie Hughes/ Jize Yan/ Kenichi Soga

In this paper the development of a Wireless Sensor Network (WSN) for construction noise identification and sound locating is investigated using the novel application of Bluetooth Low Energy (BLE). Three WSNs using different system-on-chip (SoC) devices and networking protocols have been prototyped using a Raspberry Pi as the gateway in the network. The functionality of the system has been demonstrated with data logging experiments and comparisons has been made between the different WSN systems d(..)

DOI: 10.21307/ijssis-2017-811

Published Online: 01-June-2015

INTELLIGENT NEURAL NETWORK CONTROL STRATEGY OF HYDRAULIC SYSTEM DRIVEN BY SERVO MOTOR

Ma Yu

A novel intelligent neural network control scheme which integrates the merits of fuzzy inference, neural network adaptivity and simple PID method is presented in this paper. This control method overcomes the defects existed in the traditional variable frequency induction motor driven hydraulic source, such as slow response, poor control precision, easy to overshoot. Permanent magnet synchronous motor driven constant pump hydraulic system is designed instead of common motor, energy saving, fast r(..)

DOI: 10.21307/ijssis-2017-812

Published Online: 01-June-2015

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