LEFT-HANDEDNESS DETECTION

Leong .W.Y/ Andrew Ng C.R

In this paper, a new left-handedness sensing and detection module, has been developed to classify the handedness of a person. Handedness of the person can be determined from the EEG data captured and further confirmed using a simple game as testing module. EEG signals were obtained from three locations namely A1, O1 and O2. The signals were then classified into four different frequency bands: Alpha, Beta, Delta and Theta before they were used to determine the Mean EEG Coherence. Generally the le(..)

DOI: 10.21307/ijssis-2017-664

Published Online: 27-December-2017

PRESENT RESEARCH SITUATIONS AND FUTURE PROSPECTS ON BIOMIMETIC ROBOT FISH 

Hongli Liu/ Yufeng Tang/ Qixin Zhu/ Guangming Xie

As mankind steps into the 21st century, the exploration of the ocean also enters a new phase. In the recent decades, the research on biomimetic robot fish has attracted scientific communities’ attention increasingly. With its character of high flexibility and intelligence, biomimetic robot fish have become one of the research focuses in the field of underwater robots in ecent years. This paper mainly describes the classification of propulsion modes and the corresponding characteristics, the inte(..)

DOI: 10.21307/ijssis-2017-665

Published Online: 01-June-2014

FEATURES OF SLEEP APNEA RECOGNITION AND ANALYSIS

LEONG WAI YIE/ JOEL THAN CHIA MING

Sleep apnea is a growing sleep disorder issue and estimate to affect 7% of the adult population in Malaysia. In this study, the electrical activity of the brain is studied using Electroencephalogram (EEG). The data obtained was then decomposed using three methods; Empirical Mode Decomposition (EMD), Bivariate EMD and finally Ensemble EMD. The Index of Orthogonatility (IO) was obtained which shows EMD performed the most poorly, EEMD the best and Bivariate in between. The performance of EMD greatl(..)

DOI: 10.21307/ijssis-2017-666

Published Online: 27-December-2017

ANALYSIS OF DIESEL AND RAPESEED METHYL ESTER PROPERTIES IN CEUP FUEL PIPELINE USING FREQUENCY DEPENDENT DAMPING MODEL

Qaisar Hayat/ Fan Liyun/ Song Enzhe/ Xiuzhen Ma/ Tian Bingqi/ Naeim Farouk

During a fuel injection cycle pressure inside Combination Electronic Unit Pump (CEUP) fuel injection system varies from low (~50 bars) to very high (~1500 bars) in fractions of seconds depending on the operating conditions. Physical properties of fuel including density, acoustic wave speed and bulk modulus also vary as a function of rapidly varying fuel pressure. A detailed analysis of these key fuel properties with our improved frequency dependent model with viscous damping developed in MATLAB (..)

DOI: 10.21307/ijssis-2017-667

Published Online: 27-December-2017

AUGMENTED REALITY GAME THERAPY FOR CHILDREN WITH AUTISM SPECTRUM DISORDER

S.K. Bhatt/ N.I. De Leon/ Adel Al-Jumaily

This paper presents progress on treating children with Autism Spectrum Disorder (ASD) using Augmented Reality based games. The aim of these games is to enhance social interaction and hand-eye coordination in children with ASD thus easing them into becoming more comfortable around unfamiliar people. Colour detection and tracking and motion tracking concepts in augmented reality have been used to develop games for young children with ASD. The idea is that these games will encourage concentration a(..)

DOI: 10.21307/ijssis-2017-668

Published Online: 27-December-2017

TORQUE MEASUREMENT DURING BODY CAVITY ENTRY USING A THREADED VISUAL CANNULA

A. Bakirtzian/ A. Ternamian/ G. Manson/ L. Tremblay/ B. Benhabib

Port creation is one of the most common complications associated in endoscopic procedures.The focus of our study was to establish a reproducible method of determining the torque profile generated during body cavity entry using a Threaded Visual Cannula (TVC). A TVC was evaluated on 32 samples of foam media. A torque profile was generated by measuring the torque required to cannulate the foam media. Penetration of the media was captured by a digital imaging system. The magnitude of torque to requ(..)

DOI: 10.21307/ijssis-2017-669

Published Online: 27-December-2017

Chaos Synchronization via Linear Matrix Inequalities:A Comparative Analysis

Hanéne Mkaouar/ Olfa Boubaker

In this paper, three chaos synchronization approaches using Linear Matrix Inequality (LMI) tools are evaluated and compared. The comparative analysis is supported by four examples of Piecewise affine (PWA) chaotic systems: The Chua’s original circuit, the Chua’s modified system, the Lur’e like circuit and the five-scroll attractor system. To evaluate the performances of each synchronization approach, we examine first, the practical implementation of the LMIs. We analyze then, by simulation resul(..)

DOI: 10.21307/ijssis-2017-670

Published Online: 27-December-2017

DEVELOPMENT OF NEURAL NETWORK-BASED ELECTRONIC NOSE FOR HERBS RECOGNITION

A. Che Soh/ K. K.Chow/ U. K. Mohammad Yusuf/ A. J. Ishak/ M. K. Hassan/ S. Khamis

The ability to classify distinctive odor pattern for aromatic plants species provides significant impact in food industry especially for herbs. Each herbs species has a unique physicochemical and a distinctive odors. This project emphasizes on the techniques of artificial intelligence (AI) to distinguish distinctive odor pattern for herbs. Neural Network method has been exploited for the classification and optimization of various odor patterns. Based on AI techniques, Neural Network-based electr(..)

DOI: 10.21307/ijssis-2017-671

Published Online: 27-December-2017

SYNTHESIS, CHARACTERIZATION AND GAS SENSING PERFORMANCE OF SOL-GEL PREPARED NANOCRYSTALLINE SnO₂ THIN FILMS

Ramesh H. Bari/ Sharad B. Patil/ Anil.R. Bari

Nanocrystalline SnO2 thin films were successfully prepared using sol-gel dip coating technique. The starting precursor was used as tin chloride dihydrate (SnCl2.2H2O), ethanol and glycerin. As the prepared films were fired at 500oC. These films were characterized using XRD, FESEM and TEM to known crystal structure, surface morphology and microstructure property. Elemental composition was studied using energy dispersive spectrophotometer (EDAX). The H2 gas sensing performance of nanocrystalline S(..)

DOI: 10.21307/ijssis-2017-672

SOCIALLY ACCEPTABLE SMART WHEELCHAIR NAVIGATION FROM HEAD ORIENTATION OBSERVATION

Razali Tomari/ Yoshnori Kobayashi/ Yoshinori Kuno

Robotic wheelchairs should move among humans without bringing about uncomfortable situation to them. This paper tackles this issue to propose a method of navigation in indoor environments with presence of humans based on the observation of head information obtained from color and range images. Initially head regions in the color image are tracked and their orientations are estimated using AdaBoost based particle filter trained to classify multiple-pose faces. Then the head orientation data are i(..)

DOI: 10.21307/ijssis-2017-673

Published Online: 27-December-2017

INDEX FINGER MOTION RECOGNITION USING SELF-ADVISE SUPPORT VECTOR MACHINE

Khairul Anam/ Adel Al Jumaily/ Yashar Maali

Because of the functionality of an index finger, the disability of its motion in the modern age can decrease the person’s quality of life. As a part of rehabilitation therapy, the recognition of the index finger motion for rehabilitation purposes should be done properly. This paper proposes a novel recognition system of the index finger motion suing a cutting-edge method and its improvements. The proposed system consists of combination of feature extraction method, a dimensionality reduction and(..)

DOI: 10.21307/ijssis-2017-674

Published Online: 27-December-2017

TRIBOACOUSTIC LOCALIZATION SYSTEM FOR MOBILE DEVICE - ENVIRONMENTAL EFFECTS TO ACCURACY

Yeng Weng Leong/ Hiroaki Seki/ Yoshitsugu Kamiya/ Masatoshi Hikizu

This paper simulates and discusses about the probable causes of error which might occur due to the environmental settings of the triboacoustic localization prototype previously developed. Erroneous conditions studied are sensor offsets and temperature mismatches while existing errors due to equation deficiencies are taken into considerations. Descriptions of the prototype's hardware and combinational system functionality which is to be simulated is described prior to the simulation and experimen(..)

DOI: 10.21307/ijssis-2017-675

Published Online: 27-December-2017

A robotic arm to sort different types of ball bearings from the knowledge discovered by size measurements of image regions and RFID support

Nicola Ivan Giannoccaro/ Luigi Spedicato/ Aimè Lay-Ekuakille

In this paper, the authors present a mechatronics system consisting of an intelligent robotic arm able to sort ball bearings having the same colour and shape drawing advantage from vision. After acquiring and processing an image from a camera, two almost concentric and circular regions are extracted from the image and their areas are calculated as number of pixels belonging to them. The center of these regions provides the point that the end-effector has to reach in order to grip a cylindrical t(..)

DOI: 10.21307/ijssis-2017-676

Published Online: 27-December-2017

A COMPREHENSIVE SURVEY OF VISION BASED VEHICLE INTELLIGENT FRONT LIGHT SYSTEM

Feng LUO/ Fengjian HU

Vehicle intelligent front light system is one of the advanced driver assistance systems. Vision based intelligent front light system is currently the research focus in this field. The purpose of this paper is to present a comprehensive survey of the vehicle front light system development and the latest vision based key technologies and proposals. By analyzing the significant disadvantages of traditional intelligent light systems, some possible improvement proposals and algorithms for lane, vehic(..)

DOI: 10.21307/ijssis-2017-677

Published Online: 27-December-2017

IMPROVED MEASURE ALGORITHM BASED ON CoSaMP FOR IMAGE RECOVERY

Guohui Wu/ Xingkun Li/ Jiyang Dai

In order to improve the quality of the reconstruction image which using Compressive sensing(CS) algorithm. Based on improved measurement matrix combined with CS Matching Pursuit(CoSaMP)algorithm, this paper presents a kind of Fourier Ring Compressive Sampling Matching Pursuit (FR-CoSaMP) algorithm. The algorithm superimposed deterministic ring measurement matrix to optimize measurement process on the basis of Fourier measurement matrix. And solve the iterative inverse operation by using FFT fast(..)

DOI: 10.21307/ijssis-2017-678

Published Online: 27-December-2017

A REVIEW OF ENERGY OPTIMAL TOPOLOGY CONTROL FOR LARGE WIRELESS NETWORK USING YAO-GRAPH AND ITS VARIANTS

Anindya Nag/ Rajarshi Roy

The advent of wireless communication and networking in the last two decades has led to the need of modification in the regular graphs used as spanners. The spanner is a sub graph of the original graph which connects the essential nodes for transmission of the message. For this purpose the Omni directional antennas are usually used and the “spanner-graph” performance metric is a constant multiplied by the same of the original graph. This constant is known as the “stretch factor”. One of the most (..)

DOI: 10.21307/ijssis-2017-679

Published Online: 27-December-2017

AN ENERGY EFFICIENT, MINIMALLY INTRUSIVE MULTI-SENSOR INTELLIGENT SYSTEM FOR HEALTH MONITORING OF ELDERLY PEOPLE

N. Samanta/ A.K. Chanda/ C. RoyChaudhuri

Most of the existing systems for elderly health monitoring deploy a large number of cognitive sensors including wearable sensors for physiological parameter measurement. Increasing number of sensors not only make the system power consuming and expensive but also intrusive in nature. However, there exists very limited research on power saving algorithms in such systems incorporating customer friendly features. In this paper, we report a modified health monitoring system which addresses both these(..)

DOI: 10.21307/ijssis-2017-680

Published Online: 27-December-2017

Hybrid Intelligent Method of Identifying Stator Resistance of Motorized Spindle

Lixiu Zhang/ Yuhou Wu/ Ke Zhang

Aiming at the problem that changes of nonlinear dynamic resistance of stator affect the performance of speed sensorless vector control system, a hybrid computing intelligence approach is used in the identification of stator resistance of motorized spindle. The partial least squares (PLS) regression is combined with neural network to solve the problem of few samples and multi-correlation of variables in complicated data modeling. The PLS method is used to extract variable components from sample d(..)

DOI: 10.21307/ijssis-2017-681

Published Online: 27-December-2017

MODEL IDENTIFICATION AND CONTROLLER DESIGN FOR AN ELECTRO-PNEUMATIC ACTUATOR SYSTEM WITH DEAD ZONE COMPENSATION

N. H. Sunar/ M. F. Rahmat/ Zool Hilmi Ismail/ Ahmad Athif Mohd Faudzi/ Sy Najib Sy Salim

Pneumatic actuator system is inexpensive, high power to weight ratio, cleanliness and ease of maintenance make it’s a choice compared to hydraulic actuator and electromagnetic actuator. Nonetheless, the steady state error of the system is high due to the dead zone of the valve. In this paper, an Auto-Regressive with External Input (ARX) model structure is chosen to represent the pneumatic actuator system. The recursive least square method is used to estimate the model parameters. The pole-assign(..)

DOI: 10.21307/ijssis-2017-682

Published Online: 27-December-2017

Investigation of Main Injection Quantity Fluctuation due to Pilot Injection in High Pressure Common Rail Fuel Injection System

Tian Bingqi, Fan Liyun/ Ma Xiuzhen/ Qaisar Hayat/ Bai Yun/ Liu Yang

High pressure common rail (HPCR) fuel injection system is the main development trend for fuel injection system of diesel engine. Precise controlling of injection pressure and multiple injections are the advantages and key features of the HPCR system. Affect of pilot injection quantity (PIQ) and pilot-main interval (PMI) on main injection quantity fluctuation (MIQF) has been investigated in this paper by evaluating performance coherence and stability of injection quantity of diesel engine. A nume(..)

DOI: 10.21307/ijssis-2017-683

Published Online: 27-December-2017

ERROR MODELING AND COMPENSATION OF 3D SCANNING ROBOT SYSTEM BASED ON PSO-RBFNN

Jianhong Qi/ Jinda Cai

In order to improve the measurement accuracy of three-dimensional (3D) scanning robot, a method of 3D scanning robot system error modeling and compensation based on particle swarm optimization radial basis function neural network (PSO-RBFNN) is proposed to achieve intelligent compensation of measurement error. The structure, calibration and error modeling process of 3D scanning robot system are mainly described. Cleverly using the iterative closest point (ICP) algorithm to construct input and ou(..)

DOI: 10.21307/ijssis-2017-684

Published Online: 27-December-2017

Study on PLC with Switch Management in Intelligent Manufacturing Network

Guangfu Wang

This paper discusses a new solution for switch management in intelligent manufacturing network. It makes PLC (Programmable Logic Controller) communication module have the switch management features and exchange I/O data in manufacturing network. The switch manager has used the chip of the Ethernet switch device 88E6165. The Marvell 88E6165 device embedded in communication devices is a single-chip 6 port gigabit Ethernet switch with five integrated gigabit Ethernet transceivers. It performs the t(..)

DOI: 10.21307/ijssis-2017-685

Published Online: 27-December-2017

An indoor positioning algorithm and its experiment research based on RFID

Yan Bingbing/ Ren Wenbo/ Yin Bolin/ Li Yang

A kind of indoor locating algorithm based on RFID has been put forward since the indoor positioning system can not fully meet the requirements of location services. The algorithm takes the propagation characteristic of signal as the breakthrough point and improves the positioning precision of the algorithm by means of regional division, regional judgment strategy, virtual node, and so on. The optimal target position of the access point was put forward and an effective analysis of the regional di(..)

DOI: 10.21307/ijssis-2017-686

Extended Kalman Filtering and Pathloss modeling for Shadow Power Parameter Estimation in Mobile Wireless Communications

George P. Pappas/ Mohamed A. Zohdy

In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for use in power control of mobile device and base station. The methods are validated and compared to existing methods, Kalman Filter (KF) with Ga(..)

DOI: 10.21307/ijssis-2017-687

Published Online: 27-December-2017