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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
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
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
PERFORMANCE AND ANALYSIS OF AUTOMATIC LICENSE PLATE LOCALIZATION AND RECOGNITION FROM VIDEO SEQUENCES

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VOLUME 9 , ISSUE 2 (June 2016) - List of articles

EXPERIMENTAL AND THEORETICAL VALIDATION METHOD FOR ESTIMATION OF STRAIGHTNESS DEVIATION AND ASSOCIATED UNCERTAINTY IN CNC-CMM MEASUREMENT

Salah H.R. Ali/ M.A.H. Khalafalla/ Ihab H. Naeim/ Sarwat Z.A. Zahwi

Geometrical deviation in intelligent metrology system is an important factor in precision engineering. Estimating the deviation and associated uncertainty in straightness feature remains a necessary requirement to ensure highly accurate metrology method especially in CNC-CMM measurement. Optimization in straightness measurement using soft algorithm techniques is a widely encountered solution in coordinate metrology. In this work, straightness deviation has been measured precisely in 2D and in 3D(..)

DOI: 10.21307/ijssis-2017-876

Published Online: 01-June-2016

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SURFACE FOLLOWING WITH AN RGB-D VISION-GUIDED ROBOTIC SYSTEM FOR AUTOMATED AND RAPID VEHICLE INSPECTION

Danial Nakhaeinia/ Pierre Payeur/ Alberto Chávez-Aragón/ Ana-Maria Cretu/ Robert Laganière/ Rizwan Macknojia

This paper presents the design and integration of a vision-guided robotic system for automated and rapid vehicle inspection. The main goal of this work is to scan and explore regions of interest over an automotive vehicle while a manipulator’s end effector operates in close proximity of the vehicle and safely accommodates its curves and inherent surface obstacles, such as outside mirrors or door handles, in order to perform a series of close inspection tasks. The project is motivated by applicat(..)

DOI: 10.21307/ijssis-2017-877

Published Online: 01-June-2016

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NON INVASIVE ESTIMATION OF BLOOD UREA CONCENTRATION USING NEAR INFRARED SPECTROSCOPY

Swathi Ramasahayam/ Shubhajit Roy Chowdhury

This paper details about the noninvasive estimation of Urea concentration in blood using near infrared spectroscopy (NIRS) and Artificial neural network based prediction model. The absorption spectrum of the urea has been studied experimentally in order to choose the wavelengths of peak absorption. For this purpose, IR absorption spectrum of 0.1M aqueous urea solution has been collected and analyzed in second overtone region of the near-infra red spectra using the Bruker tensor 27 FTIR spectrome(..)

DOI: 10.21307/ijssis-2017-878

Published Online: 01-June-2016

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ERRORS OF MANOMETRIC CO2 SORPTION EXPERIMENTS ON COAL CAUSED BY ACCURACY OF PRESSURE SENSOR

Jiang Renxia/ Yu Hongguan/ Wang Li/ Chen Lihui

The accuracy of supercritical CO2 sorption determination on coal is important for estimating the CO2 sequestration potential of coal bed using CO2 injection into deep unminable coal seams. Based on the CO2 density change and CO2 sorption data of three selected coal samples, this paper investigates the effect of pressure-sensor accuracy on measurements of CO2 adsorption isotherms on coals with manometric equipment. The characteristic density-change of CO2 in proper pressure range determines a gre(..)

DOI: 10.21307/ijssis-2017-879

Published Online: 01-June-2016

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DATASOCKET TECHNOLOGY AND ITS APPLICATION IN EQUIPMENT REMOTE CONDITION MONITORING AND FAULT DIAGNOSIS

Wu Tao/ Liu Zhihua/ Liang Miaoyuan

Virtual Instrument technology, based on DataSocket, is the product combined with computer technology, network communication technology and instrumentation technology. The paper has described some concepts about virtual instrument and LabVIEW. Now concerning the characteristic of equipment in grassroots units that equipment have diverse models and could be widespread distributed, and it could cause increasing difficulty of repair and maintenance about equipment. Thus, the paper proposed Virtual I(..)

DOI: 10.21307/ijssis-2017-880

Published Online: 01-June-2016

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A COST-EFFECTIVE AND ACCURATE ELECTRICAL IMPEDANCE MEASUREMENT CIRCUIT DESIGN FOR SENSORS

Ciaran Doyle/ Dr Daniel Riordan/ Dr Joseph Walsh

A circuit design with bespoke control software is described which has delivered precision in electrical impedance measurements of ~ 10ppm, after calibration. It is low-cost and applicable to jobs such as direct measurement using a sensor whose resistance changes with some physical quantity of interest; calibration at end of line in the production of such sensors; or calibration of equipment which may be out of warranty. It was developed using resistance temperature detectors (RTDs).

DOI: 10.21307/ijssis-2017-881

Published Online: 01-June-2016

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AN ELECTRICAL MODEL OPTIMIZATION FOR SINGLE CELL FLOW IMPEDANCE SPECTROSCOPY

J. Claudel/ M. Nadi/ O. Elmazria/ D. Kourtiche

This paper presents an optimization of a single cell electrical model, based on Maxwell’s mixture Theory, applied to flow cytometry coupled to impedance spectroscopy. It is based on the discretization of the measurement area into a square reference volume, centered between micro-electrodes, and fixed impedance areas. The first one represents the sensing area, the one impacted by cell presence during measurement, and the second one, all other areas that contribute to global measured impedance. By(..)

DOI: 10.21307/ijssis-2017-882

Published Online: 01-June-2016

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TRUST AWARE DATA AGGREGATION AND INTRUSION DETECTION SYSTEM FOR WIRELESS SENSOR NETWORKS

P. Raghu Vamsi/ Krishna Kant

Data Aggregation (DA) is one of the most frequently used techniques in Wireless Sensor Networks (WSNs) to improve the network lifetime. It involves gathering, consolidating, and routing the sensory data collected by sensor nodes. However, research studies have demonstrated that the dependability of the DA process affects severely when malicious nodes are present in the network. Many security solutions using cryptography and Intrusion Detection System (IDS) have been proposed in the literature fo(..)

DOI: 10.21307/ijssis-2017-883

Published Online: 01-June-2016

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MULTI-SCALE COMPRESSED SENSING BASED ON SPLIT AUGMENTED LAGRANGIAN SHRINKAGE ALGORITHM FOR IMAGE SUPER-RESOLUTION RECONSTRUCTION

Tian Shu-yao/ Hu Chun-hai

This paper proposes a multi-scale compressed sensing algorithm in shearlet domain by exploiting discrete Shearlet transform which can optimally represent the images with edges. An image is decomposed by shearlet. The compressed sensing is deployed in each of the directional sub-bands of high frequency scales. And inverse measurement matrix is modified by the upsampling operator to enhance the resolution of image. In addition, the original image reconstructed by compressed sensing based on super-(..)

DOI: 10.21307/ijssis-2017-884

Published Online: 01-June-2016

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CONSENSUS OF CONTINUOUS-TIME MULTI-AGENT SYSTEMS UNDER NOISY MEASUREMENT

He Qingbi/ Tang Zhaojun

In this paper, we consider the consensus problem of first-order continuous-time multi-agent systems with fixed topology and time-varying topology in the presence of measurement noises. It is assumed that each agent can only obtain the information from its neighbors, and the information is corrupted by white noises. For the case of fixed topology, it is shown that consensus can be reached asymptotically in mean square provided the interaction topology has a spanning tree. For the case of time-var(..)

DOI: 10.21307/ijssis-2017-885

Published Online: 01-June-2016

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IOT-1-PASS-SECURITY: 1(ONE)-PASS AUTHENTICATED KEY AGREEMENT PROTOCOL FOR ENERGY CONSTRAINT IOT APPLICATIONS

Mehrdad Aliasgari/ Garrett Chan/ Mohammad Mozumdar

IoT data security is one of the core unresolved challenges in IoT community. Lack of resource-efficient authenticated secure key exchange methods among resource- constrained IoT devices makes man-in-the-middle attacks a serious vulnerability. In this regard, we propose 1(One) pass Authenticated Key Agreement (AKA) protocol for IoT applications. This protocol requires only one round of communication among the sender and receiver to establish a secure session, providing a balance between security (..)

DOI: 10.21307/ijssis-2017-886

Published Online: 01-June-2016

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A PID BASED ANFIS & FUZZY CONTROL OF INVERTED PENDULUM ON INCLINED PLANE (IPIP)

Ashwani Kharola

The objective of this study is to present an offline control of highly non-linear inverted pendulum system moving on a plane inclined at an angle of 10° from horizontal. The stabilisation was achieved using three different soft-computing control techniques i.e. Proportional-integral-derivative (PID), Fuzzy logic and Adaptive neuro fuzzy inference system (ANFIS). A Matlab-Simulink model of the proposed system was initially developed which was further simulated using PID controllers based on trial(..)

DOI: 10.21307/ijssis-2017-887

Published Online: 01-June-2016

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AN INVERSE LINEARIZATION MODEL FOR THE CHARACTERIZATION OF NON-CONTACT THERMOPILES

J-S. Botero V/ A. Salazar/ L-J. Morantes G.

A thermopile is an electronic device that converts thermal energy into electrical energy by means of arrangements of thermocouples that are connected in series. In addition, optical filters restrict the wavelength that strikes the thermopile. One of the main advantages of using a thermopile is its sensitivity to infrared radiation, which allows implementing non-contact thermometers. However, the thermopile does not provide an absolute temperature value, but a value that is proportional to the te(..)

DOI: 10.21307/ijssis-2017-888

Published Online: 01-June-2016

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DETECTING SYBIL ATTACKS IN WIRELESS SENSOR NETWORKS USING SEQUENTIAL ANALYSIS

P. Raghu Vamsi/ Krishna Kant

Wireless Sensor Networks (WSNs) suffer from many security attacks when deployed either in remote or hostile environments. Among possible attacks, the Sybil attack is one of the severe attacks in which malicious nodes report false identities and location information such that the remaining nodes believe that many nodes exist in their vicinity. The current study proposes a method for detecting Sybil attack using sequential analysis. This method works in two stages. First, it collects the evidences(..)

DOI: 10.21307/ijssis-2017-889

Published Online: 01-June-2016

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WIRELESS ENERGY MONITORING SYSTEM OF PHOTOVOLTAIC PLANTS WITH SMART ANTI-THEFT SOLUTION INTEGRATED WITH CONTROL UNIT OF HOUSEHOLD ELECTRICAL CONSUMPTION

P. Visconti/ A. Lay-Ekuakille/ P Primiceri/ G. Cavalera

This paper describes an intelligent system for monitoring photovoltaic plants, detecting thefts or malfunctions and optimizing energy production by algorithm to drive solar trackers. Sensing/processing board detects environmental parameters and calculates produced power/energy for monitoring efficiency while anti-theft system reveals any critical condition. Designed board controls biaxial trackers calculating sun position and following solar orbit to optimize energy production. Monitoring and an(..)

DOI: 10.21307/ijssis-2017-890

Published Online: 01-June-2016

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A MACHINE VISION SYSTEM FOR ESTIMATION OF THEAFLAVINS AND THEARUBIGINS IN ORTHODOX BLACK TEA

Amitava Akuli/ Abhra Pal/ Gopinath Bej/ Tamal Dey/ Arunangshu Ghosh/ Bipan Tudu/ Nabarun Bhattacharyya/ Rajib Bandyopadhyay

Orthodox black tea quality depends upon the amount of certain organic compounds present and out of these, theaflavins (TF) and thearubigins (TR) are the most important ones While TF is responsible for attractive golden colour, increased brightness and astringency in tea liquor, TR is reddish brown, reduces the brightness of tea liquor and contribute mostly for the ashy taste of the liquor with minor improvement in astringency. The rapid estimation of TF and TR thus may resolve the problem of cer(..)

DOI: 10.21307/ijssis-2017-891

Published Online: 01-June-2016

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FILTER BANK DESIGN USING MULTIPLE PROTOTYPE APPROACH FOR VARIABLE GRANULARITY BANDS

S Chris Prema/ Maneesha K

In this paper, a multiple prototype based filter bank is proposed for variable granularity bands. This method makes use of channel combiners for variable granularity bands from a cosine modulated filter bank. In the proposed method, the filter bank is generated from proper choice of prototype filters and different bandwidth combinations are generated from different prototypes, where M determines the granularity of the uniform bandwidth from individual prototypes. The condition for generation of (..)

DOI: 10.21307/ijssis-2017-892

Published Online: 01-June-2016

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CHARACTERIZATION OF PHOTODECTORS USING A MONOCHROMATOR AND A BROADBAND LIGHT SOURCE IN THE XYZ COLOR SPACE

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

Photodetectors are sensors, which respond to the electromagnetic radiation of the spectrum. Their spectral response depends on many factors of the manufacturing process, e.g. the type of diode that is used or, in some cases, the optical elements that are added to limit the response band. In this paper, we propose an experimental methodology to obtain the spectral response of a photodetector by constructing the characteristic curve using the monochromatic response. For this purpose, we use a broa(..)

DOI: 10.21307/ijssis-2017-893

Published Online: 01-June-2016

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A HYBRID FUZZY MORPHOLOGY AND CONNECTED COMPONENTS LABELING METHODS FOR VEHICLE DETECTION AND COUNTING SYSTEM

Chastine Fatichah/ Joko Lianto Buliali/ Ahmad Saikhu/ Silvester Tena

A hybrid fuzzy morphology and connected components labeling method is proposed for detecting and counting the number of vehicles in an image taken from a traffic monitoring camera. A fuzzy morphology approach in image segmentation method is used in the system to achieve faster computation time compared to the supervised learning. The connected components labeling method is combined with a fuzzy morphology method to determine the region and number of objects in an image. The processing phases in (..)

DOI: 10.21307/ijssis-2017-894

Published Online: 01-June-2016

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ACOUSTIC EMISSION BASED DEFECTS MONITORING OF THREE-DIMENSIONAL BRAIDED COMPOSITES USING WAVELET NETWORK

Su Hua/ Zhang Tianyuan/ Zhang Ning

In order to effectively differentiate all kinds of defects inside the composites, this paper carries out testing on the internal defects of three-dimensional (3d) braided composites by use of acoustic emission nondestructive detecting technology. It puts forward the processing method for acoustic emission signals for the internal defects of three-dimensional braided composites based on wavelet neural network (WNN). This method does wavelet transformation on real-time collected acoustic emission (..)

DOI: 10.21307/ijssis-2017-895

Published Online: 01-June-2016

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IMAGE SEGMENTATION ALGORITHM BASED ON COLOR FEATURES: CASE STUDY WITH GIANT PANDA

Hua Wang/ Jiang Xiao/ Junguo Zhang

Color which is one of the basic features of the image is widely used in image processing. The choice of color space is a primary issue for the color image segmentation based on color features. In this paper, giant pandas are chosen as the research objects. In order to achieve good segmentation results, different color spaces and the corresponding algorithms are chosen for image segmentation according to the color characteristics of different background of panda images. There are three kinds of c(..)

DOI: 10.21307/ijssis-2017-896

Published Online: 01-June-2016

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A COMPREHENSIVE REVIEW ON THE IMPACT OF COMPRESSED SENSING IN WIRELESS SENSOR NETWORKS

G. Edwin Prem Kumar/ K. Baskaran/ R. Elijah Blessing/ M. Lydia

Sensor networking is a promising technology that facilitates the monitoring of the physical world using tiny, inexpensive wireless devices that are spatially distributed across a wide region. These networks are highly constrained in power, computational capacities and memory. Incorporation of techniques based on the concept of Compressed Sensing (CS) which aims to encode sparse signals using a much lower sampling rate than the traditional Nyquist approach has revolutionized the wireless network (..)

DOI: 10.21307/ijssis-2017-897

Published Online: 01-June-2016

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STUDY ON THE DISCRETE TIME MULTICHANNEL THREE-DIMENSIONAL PROBABILITY CSMA PROTOCOL IN WSN

Yifan Zhao/ Shengjie Zhou/ Hongwei Ding/ Zhijun Yang/ Qianlin Liu

With the development of the times, in the wireless sensor networks, the increasing amount of information transmission requires more advanced transmission protocols. Especially accompanied by the arrival of the era of Big Data, the conflicts between traditional transport agreement and the sudden or large amount of data are increasingly prominent. The discrete time three-dimensional probability CSMA protocol with multichannel mechanism proposed solves these problems pretty well. By the new MAC pro(..)

DOI: 10.21307/ijssis-2017-898

Published Online: 01-June-2016

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FRACTIONAL ORDER CONTROLLER BASED FUZZY CONTROL ALGORITHM FOR SWITCHED RELUCTANCE MOTOR

Yang Congkun/ Chen Chaobo/ Fu Yongsheng

The doubly salient mechanical structure and switching characteristics of switched reluctance motor (SRM) led to torque ripple, low dynamic performance and other problems when using conventional control algorithm in speed control method. In view of the fractional PID control algorithm has strong robustness and advantage of fuzzy control, and it does not depend on the precise mathematical model, the paper proposed a control algorithm based on fuzzy fractional order PID torque control algorithm. On(..)

DOI: 10.21307/ijssis-2017-899

Published Online: 01-June-2016

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RANDOM SIGNAL FREQUENCY IDENTIFICATION BASED ON AR MODEL SPECTRAL ESTIMATION

Chunhuan Song

The power spectral estimation is an important element in the random signal analysis. The paper will introduce the principles of the classical power spectral estimation and modern power spectral estimation, analyses their characteristics and application in MATLAB simulation. The variance obtained by the classical power spectral estimation is inversely proportional to its resolution, the resolution of the modern spectral estimation are not subject to this restriction, but also the variance achieve(..)

DOI: 10.21307/ijssis-2017-900

Published Online: 01-June-2016

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PREDICTION OF SEWAGE QUALITY BASED ON FUSION OF BPNETWORKS

Lijuan Wang

Sewage treatment system is a complicated nonlinear system with multi-variables, chemical reaction, biological process and altered loads, hard to describe mathematically. Thus prediction of the effluent quality parameters of sewage treatment plant has being a challenge. In this paper we adopt fusion of two BP networks to predict sewage quality parameters with a popular process Cyclic Activated Sludge System (CASS). We take use of SVM (support vector machine) to classify the input data into two ki(..)

DOI: 10.21307/ijssis-2017-901

Published Online: 01-June-2016

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A KRIGING-BASED UNCONSTRAINED GLOBAL OPTIMIZATION ALGORITHM

Yaohui Li

Efficient Global Optimization (EGO) algorithm with Kriging model is stable and effective for an expensive black-box function. However, How to get a more global optimal point on the basis of surrogates has been concerned in simulation-based design optimization. In order to better solve a black-box unconstrained optimization problem, this paper introduces a new EGO method named improved generalized EGO (IGEGO), in which two targets will be achieved: using Kriging surrogate model and guiding the op(..)

DOI: 10.21307/ijssis-2017-902

Published Online: 01-June-2016

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AN IMPROVED MULTI-OBJECTIVE EVOLUTIONARY OPTIMIZATION ALGORITHM FOR SUGAR CANE CRYSTALLIZATION

Yanmei Meng/ Wenxing Li/ Qingwei Chen/ Xian Yu/ Kangyuan Zheng/ Guancheng Lu

The nature of optimization for intermittent sugar cane crystallization process is to obtain ideal crystals. One typical difficulty in crystallization optimization refers to the simultaneous effects of both seeding characters and process variables on the final crystal size distribution (CSD) parameters, including mean size (MA) and coefficient of variation (CV). And the application of traditional multi-objective evolutionary algorithm in crystallization process could not optimize all of them. The(..)

DOI: 10.21307/ijssis-2017-903

Published Online: 11-June-2016

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RANDOM KEY PRE-DISTRIBUTION SCHEME BASED ON KEY UPDATING

ZHU Ling-Zhi/ HE Rui/ ZHANG Jun-Ling

A random key pre-distribution scheme based on key updating (RKKU) was proposed, which is effective in wireless sensor networks. Firstly, the base station will randomly distribute some keys, a hash function and some code slices to each node. Furthermore, the RKKU scheme compares with the information of some random key to find the same key, and computes the communication key between two sensor nodes with one-way hash function. Since the one-way hash function can ensure that the attacker cannot use(..)

DOI: 10.21307/ijssis-2017-904

Published Online: 01-June-2016

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SEMANTIC COLLABORATION AND SENSING AS A SERVICE IN SEMANTIC WEB OF THINGS

X. Y. Chen/ G. Y. Li

The intrinsic contradiction hidden in the Internet of things, which is the mismatching between the diversification of forms expressing the thing’s information and the insufficiency of understanding ability of the agents using the thing’s information, hinders its intelligent development. Adding a semantic annotation for the expression of thing’s information based on ontology will improve the ability to understand, to reason and to obtain information for the agents, and will essentially promote th(..)

DOI: 10.21307/ijssis-2017-905

Published Online: 01-June-2016

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DESIGN OF SMART ROBOT FOR WRIST REHABILITATION

Ismail Ben Aabdallah/ Yassine Bouteraa/ Chokri Rekik

Generally, the rehabilitation process needs a physical interactions between patients and therapists. Based on the principles governing such human-human interactions (HHI), the design of rehabilitation robots received several attempts in order to abstract the HHI in human-robot interaction (HRI). To achieve this goal, the rehabilitation robot should be smart and provides a useful and comprehensive platform to track the patient status. In this paper, a biofeedback-based high fidelity smart robot f(..)

DOI: 10.21307/ijssis-2017-906

Published Online: 01-June-2016

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MOBILE LOCALIZATION AND TRACKING WITH LOS AND NLOS IDENTIFICATION IN WIRELESS SENSOR NETWORKS

Y. K. Benkouider/ M. Keche

This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate the bias due to the Non-Line Of Sight (NLOS) effect and a low complexity method for Line Of Sight (LOS) and NLOS identification. Based on hypothesis testing, this method discriminates between the LOS a(..)

DOI: 10.21307/ijssis-2017-907

Published Online: 01-June-2016

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REVERSIBLE WATERMARKING AUTHENTICATION ALGORITHM FOR COLOR IMAGES BASED ON COMPRESSED SENSING

Dong Ruihong/ Zuo Hangzhou/ Zhang Qiuyu/ Wu Dongfang

Aiming at the shortcomings of existing reversible watermarking for image authentication, such as poor ability of tamper detection and localization, and low attention of reconstruction after tampering, a reversible watermarking authentication algorithm based on compressed sensing for color image was proposed. On the side of the sender, the original image has been divided into blocks and carried out compressed sensing to generate image hash which works as the watermark information, and was embedde(..)

DOI: 10.21307/ijssis-2017-908

Published Online: 01-June-2016

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THREE-STEP REGISTRATION AND MULTI-THREAD PROCESSING BASED IMAGE MOSAIC FOR UNMANNED AERIAL VEHICLE APPLICATIONS

Hongguang Li/ Wenrui Ding/ Yufeng wang

In the area of image mosaic for unmanned aerial vehicle (UAV) applications, the problems of precision and time consumption have drawn many scholars’ attention. To address above two problems, a novel algorithm based on three-step registration and multi-thread processing is proposed in this paper. This method divides the image registration into three steps to improve the precision. Firstly, based on the SIFT features, the fast index mechanism k-d tree and the Euclidean distance are utilized to det(..)

DOI: 10.21307/ijssis-2017-909

Published Online: 01-June-2016

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DESIGN OF A NON-CONTACT INFRARED THERMOMETER

Guangli Long

In order to realize the human body temperature fast and non-contact measurement, an infrared thermometer is designed. The infrared human body temperature sensor is mainly used to convert the human body's infrared into voltage signal, an operational amplifier to amplify the signal, filter circuit to filter the signal, the analog signal into digital signal by the A/D conversion circuit, data processing by the MCU, LCD display and voice reporting body temperature and time, so the human body non-con(..)

DOI: 10.21307/ijssis-2017-910

Published Online: 01-June-2016

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NOVEL SVDD-BASED ALGORITHM FOR MOVING OBJECT DETECTING AND TRACKING UNDER DYNAMIC SCENES

Chunxiang Wang/ Dongfang Xu/ Yongqing Wang

Object detecting and tracking is an important technique used in diverse applications of machine vision, and has made great progress with the prevalence of artificial intelligence technology, among which the detecting and tracking moving object under dynamic scenes is more challenging for high requirements on real-time performance and reliability. Essentially analyzing, object detecting and tracking need to classify the objects and background into two different categories according to different f(..)

DOI: 10.21307/ijssis-2017-911

Published Online: 01-June-2016

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MEASURING LUNG ABNORMALITIES IN IMAGES-BASED CT

A. Lay-Ekuakille/ P. Vergallo/ I. Jabłoński/ S. Casciaro/ F. Conversano

Diagnosis by imaging is one of the most important findings in biomedical imaging because it allows not only the diagnosing of a specific pathology but to perform online and offline surgical operations using imaging as it is noticed in interventional radiology. This paper illustrates the use Hough transform in identifying pathological structures included in CT (Computer Tomography) and HRCT (High Resolution Computer Tomography) images related to patients suffering from lung disease. These abnorma(..)

DOI: 10.21307/ijssis-2017-912

Published Online: 01-June-2016

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