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Article

PERFORMANCE MEASUREMENT OF PHOTOELECTRIC DETECTION AND TARGET TRACKING ALGORITHM

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

Haidou Yang, Wei Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1554–1575

Article

AN ADAPTIVE VOICE ACTIVITY DETECTION ALGORITHM

Voice Activity Detection (VAD) is a crucial step for speech processing, which detecting accuracy and speed directly affects the effect of subsequent processing. Some voice processing system based phone or in the indoor environment, which need simple and quick method of VAD, for these representative voice signal, this paper proposes a new algorithm which is adaptive and quick based on a major improvement to Dual-Threshold endpoint detection algorithm. First the amplitude normalization is

Zhang Zhigang, Huang Junqin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2175–2194

Article

An Improved Algorithm of the Collision Detection Based on OBB

Collision detection plays a vital role in improving the sense of immersion and realism in virtual environment. The bounding box is the most basic collision detection algorithm, The OBB intersect test tightness and can able to significantly reduce the number of bounding volume. and try to occupy less storage space. Propose a bounding box of direction cylindrical So it can be improved though surrounded objects more close, then improve the efficiency of collision detection.

Geng Chaoyang, Gao Fenli

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 44–47

Article

Research on the Tunnel Geological Radar Image Flaw Detection Based on CNN

I. INTRODUCTION There are a large number of tunnel projects in the construction project. The quality defects of the tunnel may affect the construction schedule, increase the engineering cost, damage the mechanical equipment and even endanger the lives of the constructor. Geological radar detection method[1-2] is the mainstream method of tunnel lining detection at present, and has excellent performance in the detection of reinforcement and arch spacing, plain concrete structure, etc.[3]. However

He Li, Yubian Wang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 44–53

Research Article

TECHNIQUES IN ADVANCING THE CAPABILITIES OF VARIOUS NITRATE DETECTION METHODS: A REVIEW

Strategies to facilitate detection enhancement in various methods of nitrate detection are presented in this paper. The main nitrate detection methods for the past 10 years will be reviewed according to their advantages and disadvantages, followed by a focus on the techniques on increasing detection capabilities. For each detection method, an investigation of the technique of improvement is carried out. The utilisation of advance material such as membranes, reduction agents etc. is also

Aizat Azmi, Ahmad Amsyar Azman, Sallehuddin Ibrahim, Mohd Amri Md Yunus

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 223–261

Article

Research on Improved Adaptive ViBe Algorithm For Vehicle Detection

I. INTRODUCTION Vehicle detection is the key step of video vehicle recognition, which aims to obtain the location of vehicle for further recognition. For each pixel, its background can usually be built using a model. At present, there are three methods for moving object detection: optical flow method[1], frame difference method[2], background subtraction method[3]. Based on the motion vector of pixels, the optical flow method can detect and track the target, but it has a large amount of

Kun Jiang, Jianguo Wang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 11–17

Article

A REAL-TIME PEDESTRIAN DETECTION SYSTEM IN STREET SCENE

Pedestrian detection is the key technology in Advanced Driver Assistant System (ADAS).Until recently, pedestrian detection, which is realized as the vehicle equipment, still doesn't have the mature product. So, this thesis proposes a novel pedestrian detection system on board with the E-HOG (Histogram of Gradient) IP (intellectual property), can be used as the real time vehicle equipment. Three contributions are made in this thesis. Firstly, Sobel operator cascaded Uniform Local Binary Pattern

Ai-ying Guo, Mei-hua Xu, Feng Ran, Qi Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1592–1613

Article

PEDESTRIAN DETECTION ALGORITHM BASED ON LOCAL COLOR PARALLEL SIMILARITY FEATURES

HOG Feature is the mainstream feature applied in the field of pedestrian detection .HOG combined with CSS has good effects on pedestrian detection. Because of the large amount calculation of HOG and CSS, HOG and CSS has poor real-time performance, we propose LCSSF (Local Color Self Similarity Feature) avoiding calculating the global color similarity distribution of CSS. The tested results of the Inria and the street pedestrian database show that the accuracy of the HOG with LCSSF has better

Xianxian Tian, Hong Bao, Cheng Xu, Bobo Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1869–1890

Article

DETECTION OF MOVING OBJECT BY FUSION OF COLOR AND DEPTH INFORMATION

Moving object detection based on color information is easily affected by illumination changes and shadows in complex scenes. Depth information can provide complementary information. In the paper, a novel method is presented by using color and depth information. Firstly, we improve the codebook algorithm by fusing the depth information as the fourth channel in the code word. Next, a compensation factor algorithm is presented to make the edges accurate. So the final detection result can be

T. T. Zhang, G. P. Zhao, L. J. LIU

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 274–288

Research Article

 VIDEO-BASED VEHICLE DETECTION AND CLASSIFICATION IN CHALLENGING SCENARIOS   

Abstract- In intelligent transportation system, research on vehicle detection and classification has high theory significance and application value. According to the traditional methods of vehicle detection which can’t be well applied in challenging scenario, this paper proposes a novel Bayesian fusion algorithm based on Gaussian mixture model. We extract the features of vehicle from images, including shape features, texture features, and the gradient direction histogram features after

Yiling Chen, GuoFeng Qin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1077–1094

Article

Key Point Detection in Images Based on Triangle Distribution of Directed Complex Network

Key point detection is still a challenging issue in pattern recognition. With the recent developments on complex network theory, pattern recognition techniques based on graphs have improved considerably. Key point detection can be approached by community identification in directed complex network because image is related with network model. This paper presents a complex network approach for key point detection in video monitoring image, which is both accurate and fast. We evaluate our method

Qingyu Zou, Jianwen Guan, Jing Bai, Weiliang Sun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 190–193

Research Article

NUCLEAR QUADRUPOLE RESONANCE FOR EXPLOSIVE DETECTION

A Nuclear quadrupole resonance detector has been developed. This detector targets to RDX, a high explosive inside an anti-personnel landmine, buried up to 15 cm deep. This detector works well outside an electromagnetically shielded room. It was also mounted an anti-mine vehicle and remotely controlled mine detection is demonstrated in public.

Hideo Itozaki, Go Ota

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 705–715

Article

PRE-PROCESSING OF AUTOMATIC SKIN CANCER DETECTION SYSTEM: COMPARATIVE STUDY

Skin cancer is increasing and effect many people in different part of the world. Malignant melanoma as the deadliest type of skin cancer can be treated successfully if it detected early. Automatic detection is one of the most challenging research areas that can be used for early detection of such vital cancer. Over the last few years, many automatic diagnosis systems been suggested by different researchers targeting increasing of the diagnosis accuracy. This paper presents a quick review on the

Azadeh N. Hoshyar, Adel .A. Jumaily, Afsaneh N. Hoshyar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1364–1377

Article

AUTOMATIC FETAL ORGANS DETECTION AND APPROXIMATION IN ULTRASOUND IMAGE

This paper proposed a system for detecting and approximating of a fetus in an ultrasound image. The fetal organs in the ultrasound image are detected using Multi Boundary Classifier based Adaboost.MH. The results of the fetal detection is then approximated Randomized Hough Transform and the whole showed a mean accuracy of 95.80%. The mean of the Hamming Error 0.019 and the Kappa coefficient value reaches 0.890.The proposed method has the best performancefor fetal organ detection. This is proven

M. Anwar Ma’sum, Wisnu Jatmiko, Budi Wiweko, Anom Bowolaksono

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 720–748

Article

A REVIEW OF SENSING AND DISTRIBUTED DETECTION ALGORITHMS FOR COGNITIVE RADIO SYSTEMS

Optimized spectrum sensing using distributed detection techniques for secondary user spectrum access is becoming important in Cognitive Radio (CR) systems, which have been proposed to utilize the available frequency spectrum more efficiently. For achieving best performance and ensuring minimal acceptable interference to spectrum owners, it is important to accurately sense and detect the presence or absence of primary licensed users. For this purpose, the solutions learned within the framework

Ramanarayanan Viswanathan, Babak Ahsant

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 177–190

Research Article

INVESTIGATION OF ADVANCED DATA PROCESSING TECHNIQUE IN MAGNETIC ANOMALY DETECTION SYSTEMS

Advanced methods of data processing in magnetic anomaly detection (MAD) systems are investigated. Raw signals of MAD based on component magnetic sensors are transformed into energy signals in the space of specially constructed orthonormalized functions. This procedure provides a considerable improvement of the SNR thus enabling reliable target detection. Estimation of the target parameters is implemented with the help of Genetic Algorithm. Numerous computer simulations show good algorithm

B. Ginzburg, L. Frumkis, B.Z. Kaplan, A. Sheinker, N. Salomonski

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 110–122

Article

Research on Bounding Volume Boxes Collision Detection Algorithm in Virtual Reality Technology

This paper take the development of virtual campus roaming system as an example. Aiming at the defects of the different kinds of bounding boxes collision detection technology, analyzes the advantages of the hybrid hierarchical bounding box collision detection algorithm based on spheres and oriented bounding box, and described the way to construct it. Finally, the algorithm is tested in the VC and Unity3d engine, a good result is obtained.

Wan Chao, Liu Pingping, Hong Bo

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 84–88

Research paper

LEFT-HANDEDNESS DETECTION

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

Leong .W.Y, Andrew Ng C.R

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 442–457

Article

OPTIMAL TECHNIQUES FOR SENSING ERROR MINIMIZATION WITH IMPROVED ENERGY DETECTION IN COGNITIVE RADIOS

Spectrum sensing, the problem of detecting the presence of licensed user in the channel is considered in this paper. Energy detection is best suited for the spectrum sensing when prior knowledge about the primary users is unavailable. Existing works report improved versions of energy detection which primarily focuses on maximizing the detection performance. Sensing error minimization is an important aspect of spectrum sensing that needs attention. This paper focuses on the sensing error

K. Muthumeenakshi, S. Radha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2014–2034

Article

Design of a Vibration Detection Terminal

I. INTRODUCTION In the national defense and military affairs, the detection of passing vehicles in a specific area is of great significance for understanding each other’s dynamics. The monitoring of bridge vibration can be more convenient to monitor vehicle dynamics. Considering the concealment, destructiveness and inconvenience of construction, this terminal uses wireless communication, battery power supply and micro-power design. Common wireless communication methods include Bluetooth

Guoshao Chen, Fei Xu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 65–72

Article

AUTOMATED TELEHEALTH SYSTEM FOR FETAL GROWTH DETECTION AND APPROXIMATION OF ULTRASOUND IMAGES

automatic system for fetal growth monitoring and detection is proposed. This system will be able to automatically measuring the parameters of fetal head, abdomen, femur, and humerus. In addition to automated image detection, we also propose an integrated telehealth monitoring system to provide better access of ultrasound monitoring for patients that lives in rural areas. A new approach of fetal image detection is also proposed by using AdaBoost.MH boosting algorithm that is combined with an improved

Wisnu Jatmiko, Ikhsanul Habibie, M. Anwar Ma’sum, Robeth Rahmatullah, I Putu Satwika

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 697–719

Article

FACE DETECTION IN PROFILE VIEWS USING FAST DISCRETE CURVELET TRANSFORM (FDCT) AND SUPPORT VECTOR MACHINE (SVM)

Human face detection is an indispensable component in face processing applications, including automatic face recognition, security surveillance, facial expression recognition, and the like. This paper presents a profile face detection algorithm based on curvelet features, as curvelet transform offers good directional representation and can capture edge information in human face from different angles. First, a simple skin color segmentation scheme based on HSV (Hue – Saturation - Value) and

Bashir Muhammad, Syed Abd Rahman Abu-Bakar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 108–123

Article

The New Method of Sea-sky Line Detection Based on Mathematical Morphology

I. INTRODUCTION The sea-sky line is the dividing line between the sea and the sky. In general, an image of sea-sky background mainly includes three regions, those are brighter sky area, the darker sea area, and the sea-sky line area from light to dark [1]. If the low altitude investigation is carried out, the target on the sea usually appears in the area of sea-sky line. By detecting and obtaining the sea-sky line, it can reduce the calculation amount of target detection and shorten the

Zhang Wenqi, Bai Wanmin, Yu Jun, Gao Shouyi

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 85–92

Article

Detection and classification of the behavior of people in an intelligent building by camera

an intelligent building is an environment that contains a number of sensor and camera, which aims to provide information that give the various actions taken by individuals, and their status to be processed by a system of detection and classification of behaviors . This system of detection and classification uses this information as input to provide maximum comfort to people who are in this building with optimal energy consumption, for example if I workout in the room then the system will lower

Henni Sid Ahmed, Belbachir Mohamed Faouzi, Jean Caelen

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1317–1342

Research Article

OUTLIER DETECTION BASED ON SIMILAR FLOCKING MODEL IN WIRELESS SENSOR NETWORKS

Outlier detection plays a crucial role in secure monitoring in Wireless Sensor Networks (WSN). Moreover, outlier detection techniques in WSN face the problem of limited resources of transmission bandwidth, energy consumption and storage capacity. In this paper, similar flocking model is proposed and a cluster algorithm based on similar flocking model (CASFM) is put forward to detect outliers in real-time stream data collected by sensor nodes. The similar flocking model improves the Vicsek model

Cheng Chunling, Wu Hao, Yu Zhihu, Zhang Dengyin, Xu Xiaolong

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 18–37

Article

Improved Faster R-CNN Algorithm for Sea Object Detection Under Complex Sea Conditions

, monitoring illegal intrusion ships, and assisting in analyzing the deployment of the enemy’s key ports and military warships. Therefore, it is of great practical significance to improve the detection accuracy of sea surface objects. In recent years, with the sharp increase in the resolution of satellite remote sensing images in China, many trainable remote sensing image samples have been provided for deep learning. How to effectively use massive high-resolution remote sensing images is one of the main

Liu Yabin, Yu Jun, Hu Zhiyi

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 76–82

Article

RESEARCH ON THE RELATIVE COORDINATE TRANSFORMATION AND RELATIVE POSITION DETECTION SYSTEM OF 3-DOF SPHERICAL ACTUATOR

The attitude detection of 3-DOF actuator is an important technology of 3-DOF spherical actuator control. For the space attitude change of the stator and the traditional detection method is invalid, the relative coordinate transformation is proposed in this paper, through the analysis of the coordinate systems of the spherical actuator. The transformed relative coordinate data is proved by using MATLAB platform. The traditional coordinate transformation and the relative coordinate transformation

Yuanjie Fang, Bing Xu, Chunhu Sun

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1710–1730

Article

ANALYSIS OF NON-BINARY FAULT TOLERANT EVENT DETECTION IN WIRELESS SENSOR NETWORKS

A distributed non-binary fault tolerant event detection technique is proposed for a wireless sensor network (WSN) consisting of a large number of sensors. The sensor nodes may be faulty due to harsh environment and manufacturing reasons. In the existing works on event detection, the detection of event is decided by only one threshold level. The objective of this paper is to extend the fault recognition and correction algorithm for non-binary event detection. The analysis presented here takes

B Victoria Jancee, S Radha, Nandita Das

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1287–1309

Article

Intrusion Detection Based on Self-adaptive Differential Evolutionary Extreme Learning Machine

Nowadays with the rapid development of network-based services and users of the internet in everyday life, intrusion detection becomes a promising area of research in the domain of security. Intrusion detection system (IDS) can detect the intrusions of someone who is not authorized to the present computer system automatically, so intrusion detection system has emerged as an essential component and an important technique for network security. Extreme learning machine (ELM) is an interested area

Junhua Ku, Bing Zheng, Dawei Yun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 54–60

Article

Research on Vehicle Detection Method Based on Background Modeling

This paper mainly studies the background difference method in the field of intelligent traffic, proposes a background modeling method base on frame difference, and compares it with the statistical average background model and Gaussian distribution background modeling method. vehicle contour obtained by the morphological method. Finally, experiments were carried out on 4 normal road traffic surveillance videos, the effective detection rate used in this paper reaches 93.75%, which has a certain

Zhichao Lian, Zhongsheng Wang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 6–9

Article

APTIVE IMAGE SEGMENTATION BASED ON SALIENCY DETECTION

in this article, we propose an adaptive image segmentation method based on saliency. First of all, we obtain the saliency map of an image via four bottom-layer feature tunnels, i.e. color, intensity, direction and energy. The energy tunnel helps to describe the outline of objects better in the saliency map. Then, we construct the target detection masks according to the greyness of pixels in the saliency map. Each mask is applied to the original image as the result of pre-segmentation, then

Shui Linlin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 408–428

Article

AN APPLICATION OF FUNCTIONAL DATA ANALYSIS TO LOCAL DAMAGE DETECTION

Vibration signals sampled with a high frequency constitute a basic source of informa-tion about machine behaviour. Few minutes of signal observations easily translate into several millions of data points to be processed with the purpose of the damage detection. Big dimensionality of data sets creates serious difficulties with detection of frequencies specific for a particular local damage. In view of that, traditional spectral analysis tools like spectrograms should be improved to efficiently

Jacek Leśkow, Maria Skupień

Statistics in Transition New Series , ISSUE 1, 131–151

Article

Portable Automatic Conjecturing and Announcing System for Real-Time Accident Detection

In this paper, we propose the portable automatic conjecturing and announcing system for real-time accident detection. There are six sensors with 3-axis accelerometers and the ZigBee transmission standard mounted on the patients' specific region. After being transmitted to the mobile device through the ZigBee devices, the data are analyzed immediately. When the accident occurs, the mobile device could get the user's location with Assisted Global Positioning System (AGPS) and transmit the

Chin Feng Lai, Chen Ying Liu, Sung-Yen Chang, Yueh Min Huang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 329–344

Original Paper

Evaluation of Modified Hodge Test as a Non-molecular Assay for Accurate Detection of KPC-producing Klebsiella pneumoniae

Klebsiella pneumoniae carbapenemase (KPC) have become a major therapeutic challenge because of its increasingly fast dissemination throughout the world. Accurate detection of KPC is essential for optimal treatment. The Clinical and Laboratory Standards Institutes (CLSI) for fast detection of KPC producers currently recommend Modified Hodge Test (MHT) and Carba NP test. MHT can directly detect carbapenemase production in Enterobacteriaceae isolates. The current study was conducted to evaluate

ATOSSA GHASEMNEJAD, MONIR DOUDI, NOUR AMIRMOZAFARI

Polish Journal of Microbiology , ISSUE 3, 291–295

Article

Virtual Detection Zone in smart phone, with CCTV, and Twitter as part of an Integrated ITS

In this proposed integrated Intelligent Transport System, GPS enabled smart phones, and video cameras are used as traffic sensors, while Twitter is used as verifier. They are attractive because they are non intrusive, and consequently more practical and cheaper to implement. Our novel Virtual Detection Zone (VDZ) method has been able to map match by using pre-determined check points. VDZ speed accuracy ranges from 93.4 to 99.9% in higher speeds and it only needs one longitude and latitude

B. Hardjono, A. Wibisono, A. Nurhadiyatna, I. Sina, W. Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1830–1868

Research Article

Magnetoelastic Biosentinels for the Capture and Detection of Low-Concentration Pathogens in Liquid

resonance by magnetostriction. As soon as the biosentinels bind with the target pathogen through the phagebased biomolecular recognition, a change in the biosentinel's resonant frequency occurs, and thereby the presence of the target pathogen can be detected. Detection of Bacillus anthracis spores under stagnant flow conditions was demonstrated.

Shin Horikawa, Yating Chai, Howard C. Wikle, Bryan A. Chin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–4

Article

A NOVEL GRID INTERSECTION POINT DETECTION AND MATCHING METHOD IN THE BINOCULAR PULSE MEASUREMENT SYSTEM

Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their

L. M. Yang, A. H. Zhang, D. M. Lin, L. Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 256–273

Article

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

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

P. Raghu Vamsi, Krishna Kant

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 537–562

Article

FOREGROUND DETECTION IN SURVEILLANCE VIDEOS VIA A HYBRID LOCAL TEXTURE BASED METHOD

Foreground detection is a basic but challenging task in computer vision. In this paper, a novel hybrid local texture based method is presented to model the background for complex scenarios and an image segmentation based denoising processing is applied to reduce noise. We combine the uniform pattern of eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) and Center- Symmetric Local Derivative Pattern (CS-LDP) to generate a discriminative feature with shorter histogram. Retaining the

Xiaojing Du, Guofeng Qin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1668–1686

Article

WEAK GPS ACQUISITION VIA COMPRESSED DIFFERENTIAL DETECTION USING STRUCTURED MEASUREMENT MATRIX

matrices requiring huge storage memory and resulting in high computational cost for faithful sparse signal representation. Based on the restricted isometry and coherence properties, the Kronecker product of hybrid ‘L’ deterministic measurement matrix has been proposed for fast calculation and easy hardware implementation of the GPS acquisition module. Simulation results for weak signals of C/N0 25 dB-Hz show that the compressed sensing combined with post-correlation differential detection scheme has

G.Arul Elango, Gnanou Florence Sudha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1877–1899

research-article

Salt and sugar detection system using a compact microstrip patch antenna

the microstrip antenna with DGS for circular polarization. The multiple input multiple output (MIMO) antennas with DGS were proposed by Pandit et al. (2018) and Nigam et al. (2020). Microstrip antennas can also be utilized to detect salt and sugar in the water as the dielectric properties of the solutions are different for different concentrations of salt and sugar in water. Cheng et al. (2014a) proposed the salinity and sugar detection system for detecting salt and sugar in water. The rectangular

S. N. Njokweni, P. Kumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–9

Article

FALL DETECTION AND PREVENTION FOR THE ELDERLY: A REVIEW OF TRENDS AND CHALLENGES

review for the state-of-the-art trends and technologies of fall detection and prevention systems assisting the elderly people and their caregivers. Furthermore, this paper discusses the main challenges, facing elderly fall prevention, along with suggestions for future research directions.

Nashwa El-Bendary, Qing Tan, Frédérique C. Pivot, Anthony Lam

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1230–1266

Article

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

the proposed system are image preprocessing, image segmentation, and vehicle detection and counting the number of vehicles. Images are captured from the traffic monitoring cameras installed in highways. Results from testing phase using thirty images with varying brightness, contrast, and quality taken from different cameras during daylight showed that the accuracy of the system in counting the number of vehicles is 78.21%.

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

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 765–779

Research Article

A VIABLE CAPACITIVE APPROACH FOR DAMAGE DETECTION OF AIRCRAFT COMPOSITE MATERIAL

preliminary experimental results show that the measured capacitances decrease after damage occurs in aircraft composite material and that the proposed approach can effectively detect the damage of aircraft composite material. The proposed approach is a viable technique for in-situ damage detection of aircraft composite material.

Dong Ensheng, Jiang Yilin, Guo Wei, Yu Xiangbin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 209–228

Article

Detection of Blink State Based on Fatigued Driving

rest well. Because of being in this state for a long time, the body will be fatigued, lose concentration, the driver will snoring, lose concentration, decrease the ability to judge dangerous situations, and cause traffic accidents. At present, there are relatively few applications of fatigue driving equipment in China’s in-vehicle systems. Fatigue detection mainly through facial features, eye and mouth features, human electrical signal characteristics and convolutional neural network

Lei Chao, Wang Changyuan, Li Guang, Shi Lu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 24–29

research-article

Forest fire detection using wireless sensor networks

is automated picture capturing of fires in forest. Capturing can be done by the cameras which are placed on top of towers. A motor was introduced to give a coverage view on the forest and for its movement (Basu et al., 2018). Captured pictures are processed using program or MATLAB simulation and matching with references taken at beginning stage. This alert system has limitation of false caution rate and visual cameras installed on towers are of high cost. Another method of fire detection is by

Premsai Dasari, Gundam Krishna Jayanth Reddy, Abhishek Gudipalli

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–8

Article

VISUAL ATTENTION MODEL WITH ADAPTIVE WEIGHTING OF CONSPICUITY MAPS FOR BUILDING DETECTION IN SATELLITE IMAGES

in satellite imaging. The paper explores the potential use of an improved computational model of visual attention for the complex task of building identification in satellite images. It contributes to extend the envelope of application areas of such models and also to expand their current use from single object to multiple object detection. A set of original weighting schemes based on the contribution of different features to the identification of building and non-building areas is first proposed

A.-M. Cretu, P. Payeur

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 742–766

Article

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

Human facial expressions detection plays a central role in pervasive health care and it is an active research field in computer vision. In this paper, a novel method for facial expression detection from dynamic facial images is proposed, which includes two stages of feature extraction and facial expression detection. Firstly, Active Shape Model (ASM) is used to extract the local texture feature, and optical flow technique is determined facial velocity information, which is used to characterize

Shaoping Zhu, Yongliang Xiao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 581–601

Article

The Design and Research of Intelligent Search and Rescue Device Based on Sonar Detection and Marine Battery

With the increasing number of Marine accidents, the task of maritime search and rescue is increasingly difficult. This paper studies a fast, accurate and scientifically valid intelligent equipment which breakthrough maritime search and rescue capability and level for maritime search and rescue. Using sonar detection technology combined with GPS navigation systems and Marine battery energy technology, intelligent search and rescue devices which we designed can quickly search for victims of life

Zhao Jian, Zhang Liang, Zheng Li-nan, Li Nan

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 89–93

Research Article

AUDIOVISUAL SENSING OF HUMAN MOVEMENTS FOR HOME-CARE AND SECURITY IN A SMART ENVIRONMENT

This paper presents the necessity and possibility of smart sensing using a multitude of sensors such as audio and visual sensors for human movement detection for home-care and home security applications in a smart environment. We define an event and spatial relationship based approach to the problem. Use of multisensory information to even detection is proposed and its prototype implementation to detect events like falling, walking, standing, shouting etc. are presented. Use of audio sensor

Liyanage C De Silva

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 220–245

Article

SMALL TARGET DETECTION BASED ON INFRARED IMAGE ADAPTIVE

This paper studies the multi-resolution analysis of infrared image preprocessing method based on wavelet transform, wavelet transform infrared image of small target for pretreatment, after pretreatment suppressed image background clutter, improved signal to noise ratio. On this basis, studies based on infrared image sequences generated background Kalman filter and target detection algorithm, given the principle of the algorithm, time-domain method for generating fading background and moving

Hao Chen, Hong Zhang, Yifan Yang, Ding Yuan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 497–515

Research Article

DETECTION OF TRANSVERSE CRACKS IN A COMPOSITE BEAM USING COMBINED FEATURES OF LAMB WAVE AND VIBRATION TECHNIQUES IN ANN ENVIRONMENT

The detection, location and sizing of transverse cracks in a composite beam, by combining damage features of Lamb wave and vibration based techniques in artificial neural network (ANN) environment, using numerical finite element model, is discussed. Four damage features, time of flight (TOF) and amplitude ratio, which are Lamb wave based features and first and second natural frequencies, which are vibration based features were used as input to ANN. The output of ANN was crack location and depth

Ramadas C., Krishnan Balasubramaniam, M. Joshi, C.V. Krishnamurthy

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 970–984

Article

TRACKING OF MOVING TARGET BASED ON VIDEO MOTION NUCLEAR ALGORITHM

Moving target detection and tracking algorithm research content is very broad and complex applications, without and different target features directly affects the detection of selected tracking algorithm. So far still does not exist a universal algorithm for perfect can be suitable for various applications, so the detection and tracking of moving targets is still a valuable research subject of. The research work in this paper is in the field, the moving target detection spatiotemporal

Wang Xiaojun, Pan Feng, Wang Weihong

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 181–198

Research paper

Detection of P300 brain waves using a MagnetoImpedance sensor

We have previously reported a study on brain activity detection in occipital region using a picotesla-scale MagnetoImpedance (MI) sensor. Based on past studies, the target of the present study was to review the performance of MI sensor on parietal region brain activity detection. Human brain magnetic field is extremely weak, in order to detect the faint magnetic field, we constructed an MI measurement system that can cancel out the background noise (e.g., geomagnetic field) instead of using a

K. Wang, S. Tajima, Y. Asano, Y. Okuda, N. Hamada, C. Cai, T. Uchiyama

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–4

Article

Hierarchical Image Object Search Based on Deep Reinforcement Learning

algorithm. There are two main factors influencing the image. The first is that the background and light when taking pictures will affect the quality of the image, resulting in a decrease in the accuracy of object detection. The second is the content of the image. If there are several similar objects, or some are blocked by other objects, and the different angles of the object will affect the accuracy of detection. The algorithm mainly focuses on how to make the features have higher quality. Therefore

Wei Zhang, Hongge Yao, Yuxing Tan

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 65–72

Research Article

A MEMORY EFFICIENT HARDWARE BASED PATTERN MATCHING AND PROTEIN ALIGNMENT SCHEMES FOR HIGHLY COMPLEX DATABASES

. In the proposed system, the above methodology has been extended to implement a memory efficient FPGA-hardware based Network Intrusion Detection System (NIDS) to speed up network processing. The pattern matching in Intrusion Detection Systems (IDS) is done using SNORT to find the pattern of intrusions. A Finite State Machine (FSM) based Processing Elements (PE) unit to achieve minimum number of states for pattern matching and bit wise early intrusion detection to increase the throughput by

M.Anto Bennet, S. Sankaranarayanan, M. Deepika, N. Nanthini, S. Bhuvaneshwari, M. Priyanka

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 101–122

Article

Research of Image Pre-processing Algorithm Based on FPGA

How to design a low-cost , reliable and real-time target recognition system with large amount of data has become a hot topic in the area of image processing .However, Edge detection has played an important role in target recognition system. The threshold of traditional canny edge detection algorithm must be setting by human, and has a large number of calculations. In order to overcome the shortcomings of the traditional Canny algorithm, proposing an adaptive threshold edge detection algorithm

Yang Yongjin, Zhou Xinmei, Xiang Zhongfan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1499–1515

Article

Improvement and Realization of CamShift Algorithm Based MotionImage Tracking

I. INTRODUCTION Video tracking is the key technology for motion target object detection in dynamic sceneson UAV platform. It can be realized by two methods: one is based on target recognition technology, of which the core concept is frame-by-frame recognition algorithm for motion video to identify the target object and determine the target matching. The other is based on the detection technology of the moving object, of which the core concept is the active detection of the moving object, and

Wang Yubian, Yuri Shebzukhov

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 97–101

Article

RESEARCH AND RESTORATION TECHNOLOGY OF VIDEO MOTION TARGET DETECTION BASED ON KERNEL METHOD

In recent years, due to the video surveillance applications more and more widely, people are not satisfied with the goal of monitoring, and the video monitoring technology of intelligent video moving object detection and tracking technology has received extensive attention. The research work in this paper is in the field, the moving target detection spatiotemporal correlation and difference contour tracking algorithm based on a fixed background. The algorithm in the background under the

Pan Feng, Wang Xiaojun, Wang Weihong

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1516–1534

Research Article

SPECTRUM SENSING IN COGNITIVE RADIOS UNDER NOISE UNCERTAINTY: DECISION MAKING USING GAME THEORY

Energy detection is best suited for the detection of licensed users when prior knowledge about them is unavailable. However, the presence of noise uncertainty refrains the use of energy detection for spectrum sensing. In this paper, we propose a refined energy detection (RED) which used dual threshold in the presence of noise uncertainty, and combine the concepts from game theory to achieve further performance improvements. The secondary user payoff is defined based on the primary user activity

K. Muthumeenakshi, S. Radha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 146–173

Article

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

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

Jiude Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1104–1122

Research Article

MULTI-TARGET, MULTI-SENSOR TRACKING BASED ON QUALITY-OF-INFORMATION AND FORMAL BAYESIAN FRAMEWORKS

We consider a multi-target tracking problem that aims to simultaneously determine the number and state of mobile targets in the field. Conventional paradigms tend to report only the existence and state of targets according to centralized detection and data fusion. On the contrary, we investigate a multi-target, multi-sensor scenario in which (a) both the number and the state of the targets are unknown a priori; and (b) the detection with respect to targets is employed in a distributed manner

Juo-Yu Lee, Kung Yao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 842–857

Research Article

MACHINE VISION BASED MISSING FASTENER DETECTION IN RAIL TRACK IMAGES USING SVM CLASSIFIER

Missing fastener detection is a critical task due to its similar characteristics with surrounding environments. In this paper, a machine vision based fully automatic detection and classification of missing fastener detection system is proposed using Support Vector Machine (SVM) classifier. This proposed system consists of preprocessing, transformation, feature extraction and classifications. Image resizing is performed as preprocessing step and Gabor transform is used as transformation

R. Manikandan, M. Balasubramanian, S. Palanivel

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 574–589

Review

New approaches for improving selectivity and sensitivity of resistive gas sensors: A review

Resistive gas sensors are very popular and reliable but suffer from low selectivity and sensitivity. Various methods have been suggested to improve both features without increasing the number of sensors in gas detection systems. Fluctuation enhanced gas sensing was proposed to improve gas detection efficiency by analyzing low-frequency resistance fluctuations, and noise parameters can be more informative than the single DC resistance and can advance gas detection systems by improving detection

Janusz Smulko, Maciej Trawka, Radu Ionescu, Fatima E. Annanouch, Eduard Llobe, Claes G. Granqvist, Laszlo B. Kish

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Research Article

A METHOD FOR FINE BONDING WIRE DETECTION USING LIGHT DIFFRACTION

In manufacturing industry, bonding wires are used to interconnect the pads of a semiconductor chip to terminals of a package containing the chip [1]. With increasing demand of fine wires, current detection apparatus encounters some limitations. In this paper, a method to detect breakage of fine bonding wires using diffraction of light is proposed, where a laser head generates the light beam, and a slot introduced in the path of light source generates diffraction pattern. Then, irradiance loss

Yong Xiao, Xiaoyan Wang, Kuanyi Zhu, Xiaoyu Ge, Jingna Sun

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 12–124

Research Article

Feasibility Evaluation on an Instant Invader Detection System with Ultrasonic Sensors Scattered on the Ground

Increasing interest in security demands privacyaware security systems, which do not use camera, especially for personal home security. As a candidate for this purpose, this paper presents an instant invader detection system that finds an invader by using small sensor nodes distributed on the ground. Once a sensor node detects a suspicious phenomenon, thisinformationiswirelesslytransmittedtothebaseinthehouse. Thispaper,asafirststep,evaluatesthefeasibilityoftheproposed

Ami Iokibe, Masanori Hashimoto, Takao Onoye

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

research-article

INTELLIGENT SYSTEM FOR IMPROVED SAFETY OF PEDESTRIAN TRAFFIC LIGHTS

difficulties pressing the button. Fig. 1. Button of a traffic light for alerting the system a pedestrian is waiting The goal of this study is to propose a new methodology for improved safety on traffic lights, located at places without roads intersection, with the use of technical measures. For this reason, a novel concept for pedestrian detection and organization of the traffic is presented. 2. EXPOSITION Current situation The objects of the investigation of this study are traffic lights, which are

Boris EVSTATIEV, Toncho BALBUZANOV, Ivan BELOEV, Velizara PENCHEVA

Transport Problems , ISSUE 1, 35–43

research-article

Indonesian traffic sign detection based on Haar-PHOG features and SVM classification

improve accuracy, blocks in HOG are made into intersections to allow duplication of processes in the cell. This increases computing speed. Meanwhile, PHOG feature extraction improves HOG in terms of cell size resolution based on level or depth. PHOG uses Canny edge detection for sharper object edges. However, edges of objects other than traffic signs also become sharper, resulting in a significant decrease in the accuracy. Therefore, the Haar–PHOG feature method is proposed to improve the accuracy of

Aris Sugiharto, Agus Harjoko, Suharto Suharto

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–15

Article

New Method of Image Smoothing and Edge Detection Based on Nonlinear Ambiguity Function

With the continuous development of the national economy and science and technology, the scope of the application of images is constantly expanding. The image has many uncertainties, and the improvement of this feature is often blurred and can not be accurately calibrated, which results in complex and diverse processing techniques. Image smoothing and edge detection are very important feature technologies in image processing, and they also the research focus in the field of image processing

Yanhong Jin

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 138–140

Article

FORMATION ALGORITHMS FOR MULTIPLE MOBILE ROBOTS BASED ON VISION DETECTION

Zhihong Liang, Hongwei Gao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1840–1858

Original Paper

Detection of Acinetobacter spp. in Blood Cultures by an Improved Fluorescent in Situ Hybridization Assay

Fluorescent in situ hybridization (FISH) allows rapid detection of microorganisms. We aimed (i) to evaluate the sensitivity and specificity of FISH for the detection of Acinetobacter spp. in blood culture specimens and (ii) to test the simultaneous application of two genus-specific probes labeled with the same fluorochrome to increase the fluorescent signal intensity and improve the detection of Acinetobacter spp. Three hundred and twenty blood culture specimens were tested via both the

Hanieh Asaadi, Behrouz Naeimi, Somayyeh Gharibi, Abdalnaser Khosravi, Sina Dobaradaran, Reza Taherkhani, Saeed Tajbakhsh

Polish Journal of Microbiology , ISSUE 1, 3–10

Article

Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF)

The problem of outlier detection in univariate circular data was the object of increased interest over the last decade. New numerical and graphical methods were developed for samples from different circular probability distributions. The main drawback of the existing methods is, however, that they are distribution-based and ignore the problem of multiple outliers. The local outlier factor (LOF) is a density-based method for detecting outliers in multivariate data and it depends on the local

Ali H. Abuzaid

Statistics in Transition New Series , ISSUE 3, 39–51

Article

Fuel Cell Test System Based on AVR Single-chip Computer

fuel cell test system are analyzed, and made a specific fuel cell test system implementation scheme. The system Atmega32 is the core, can finish the collection work of various data quantity very well, theapplication fuel cell inspection meter can complete to the battery voltage and the current measurement. This system has great flexibility, except for the detection of PEMFC, it can also be adapted to different types of fuel cell detection.

Wei Zhang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 52–55

Article

ELLIPSE DETECTION ON EMBRYO IMAGING USING RANDOM SAMPLE CONSENSUS (RANSAC) METHOD BASED ON ARC SEGMENT

Arie Rachmad Syulistyo, Aprinaldi, Anom Bowolaksono, Budi Wiweko, Andrea Prati, Dwi M. J. Purnomo, Wisnu Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1384–1409

research-article

A loop-mediated isothermal amplification assay for the plant-parasitic nematode Aphelenchoides besseyi in rice seedlings

fungal feeders (Rybarczyk-Mydłowska et al., 2012). To accurately distinguish the quarantine pest from others, only species-specific methods that are highly accurate and discerning would serve well for the quarantine inspection purposes. Lately, the loop-mediated isothermal amplification method (LAMP) has shown its potential as a useful tool for plant pathogen detection (Notomi et al., 2000). Using a set of four to six specific primers, the assay provides a higher specificity than other one-step PCR

Jiue-in Yang, Guan-yi Yu

Journal of Nematology , 1–11

Research paper

HEPA FILTER MATERIAL LOAD DETECTION USING A MICROWAVE CAVITY SENSOR

This paper presents a novel microwave cavity sensor application for the detection of HEPA filter particulate loading. The sensor resonates at 3.435GHz and 8.570GHz when empty, where the TM010 and TM020 modes dominate respectively. Experimental results show that the resonant frequency of the sensor shifts significantly when filters of different particulate loadings are presented to it. This is a significant finding, and means that the sensor could present an effective solution for determining

A. Mason, S. Wylie, A. Thomas, H. Keele, A. Shaw, A.I.Al- Shamma’a

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 322–337

Research Article

Detection of Pathogenic Bacteria in Aqueous Media: Assessing the Potential of Real-Time Electromagnetic Wave Sensing

solutions. The distinct feature of the proposed system is that the detection is performed in real time, without the need for additional sample processing or chemicals. This bacteria detection method would be of benefit in a broad range of applications, ranging from water quality monitoring in wastewater treatment facilities to safety assurance in healthcare and food industry.  

I. Nakouti, O. Korostynska, A. Mason, A. I. Al-Shamma’a

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Research Article

LACTATE DETECTION USING MICROWAVE SPECTROSCOPY FOR IN-SITU MEDICAL APPLICATIONS

Lactate is an indicator of neurological impairment during aortic aneurysm surgery, and thus its detection could provide the basis for improved treatment regimes, better quality of care, and enhanced resource efficiency within the UK National Health Service (NHS). This article considers the use of low power microwave sensors to detect varying lactate concentrations in distilled water; sample sizes of 10ml and 0.5ml are considered via two sensor designs. Microwave sensors provide a rapid non

J. H. Goh, A. Mason, A. I. Al-Shamma’a, M. Field, P. Browning

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 338–352

research-article

Target Characterization Using MIMO Radar

Multiple input multiple output (MIMO) radar draws the attention of the researchers at the background of MIMO communication. Detection, target characterization and tracking are the basic functions of a radar system. But environmental conditions (multipath, clutter) and a low signal-to-noise ratio (SNR) put lots of challenges among many challenges faced by any radar system (Godrich et al., 2009, 2010; Chiriac and Haimovich, 2010). In MIMO radar, targets are probed with multiple, simultaneous

Samarendra Nath Sur, Soumyasree Bera, Subhankar Shome, Rabindranath Bera, Bansibadan Maji

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–8

Short Communication

Detection of Polioviruses in Sewage Using Cell Culture and Molecular Methods

The work presented here demonstrates the utility of a two-step algorithm for environmental poliovirus surveillance based on: preselection of sewage samples tested for the presence of enteroviral genetic material-RT-PCR assay and detection of infectious viruses by cell culture technique (L20B for polioviruses and RD for polio and other non-polio enteroviruses). RD and L20B cell lines were tested to determine their sensitivity for isolation of viruses from environmental samples (sewage). Finally

Agnieszka Figas, Magdalena Wieczorek, Bogumiła Litwińska, Włodzimierz Gut

Polish Journal of Microbiology , ISSUE 4, 479–483

Research Article

A Capacitive Sensing System for Non-Contact Detection of Ice

This paper presents a capacitive sensing system for non-contact detection of ice from a distance of 8 to 10 cm and distinguishes it from water. It is well known that the Relative Permittivity (RP) of ice and water are almost equal at low frequencies, in the range of a few kHz. At a high frequency of excitation, i. e., about 100 kHz and above, the RP of water remains same, but that of ice substantially reduces. A capacitive sensor, wherein, the ice or water layer forms part of the sensing volume

Cyril Baby K., Boby George

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Research Article

Detection of adsorbed cytochrome c on hydroxyapatite thick films using a microwave sensor

M. Salazar-Alvarez, S.A.M. Tofail, E. Magner, O. Korostynska, A. Mason, A. Al-Shamma'a

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–4

Research Article

DYNAMIC FACE RECOGNITION AND TRACKING SYSTEM USING MACHINE LEARNING IN MATLAB AND BIGDATA

Face Recognition being one of the methods in identifying individuals is getting enhanced at a faster rate. This paper demonstrates the process of detection of faces of the individuals through a live monitoring camera using matlab and also aids in tracking them. The large amount of images being collected at each second is stored in big databases like Hadoop- databases(hbase) or Mongodb as they are known for their higher processing speed. The facial features are extracted from all the images and

P.J Leo Evenss, Jennings Mcenroe .S, A.Prabhu Chakkaravarthy

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 163–173

Research Article

A new HGA-FLVQ model for Mycobacterium Tuberculosis detection

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

N. Charibaldi, A. Harjoko, B. Hisyam

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–13

Research Article

DETECTION OF VOLATILE ORGANIC COMPOUNDS BASED ON OPTICAL FIBRE USING NANOSTRUCTURED FILMS

An optical fibre sensor for detection of volatile organic compounds (VOCs) has been implemented. This device is based on a vapochromic material presented in the form of bright red powders, which suffers reversible changes in its optical properties when exposed to some organic vapours. The sensor head consists of a nano interferometer doped with the vapochromic material, built onto a cleaved ended multimode optical fibre by using the Layer by Layer Electrostatic Self Assembly Method (LbL). A

Cesar Elosua, Ignacio R. Matias, Candido Bariain, Francisco J. Arregui

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 123–136

Research Article

Detection of microbial contamination in potable water by Nanowire technology

spoilage and quality control. The aim of this study was test the ability of a novel EN for the detection of bacterial presence in potable water in cooperation with analytical (pH) and optical (photometer) techniques. The achieved results notably advocate the use of EN in industry laboratories as a very important tool in water quality control.

Estefanía Núñez Carmona, Veronica Sberveglieri, Andrea Ponzoni, Dario Zappa, Andrea Pulvirenti

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–4

Research Article

MOVING TARGET DETECTION BASED ON GLOBAL MOTION ESTIMATION IN DYNAMIC ENVIRONMENT

AUV localization is not accurate based on sequence images if moving target is as landmark,so the moving target detection algorithm is studied based on global motion estimation, which detects and eliminates moving target according to the motion inconsistency of the moving target. Generally grid block matching is used in the global motion estimation, it can’t effectively dispose the dynamic background, and the gradient direction invariant moments descriptors method of free circular neighborhood

GAO Jun-chai, LIU Ming-yong, XU Fei

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 360–379

Article

TRAVEL TIME PREDICTION BASED ON PATTERN MATCHING METHOD

The microwave detection technology has become an effective tool for monitoring highway traffic flow in China. The cross section traffic data collected provides models opportunity for travel time prediction. However, the sparseness of data somewhat constrains the prediction accuracy. To tackle this problem, the paper presents a highway travel time prediction algorithm based on pattern matching method. First, a pattern library is established by choosing traffic volume and speed as its certain

Jiandong Zhao, Feifei Xu, Wenhui Liu, Jigen Bai, Xiaoling Luo

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 658–676

Case report

Spontaneous resolution of unifocal Langerhans cell histiocytosis of the skull: potential role of ultrasound in detection and imaging follow-up

Langerhans cell histiocytosis is a tumor-like condition characterized by idiopathic proliferation of Langerhans cells. The disease may involve the skeleton as well as other organs systems. Bone involvement may be solitary or multifocal. Unifocal osseous Langerhans cell histiocytosis may involve virtually any bone, with the calvarium being most frequently involved. Plain radiography, computed tomography and magnetic resonance imaging are the most used techniques for detection and

Filip M. Vanhoenacker, Joris Verlooy, Mania De Praeter

Journal of Ultrasonography , ISSUE 74, 265–270

Research paper

High Performance Macroporous Silicon Chemical Sensor With Improved Phase Detection Electronics

C. RoyChaudhuri, S. Gangopadhyay, R. DevDas, S.K. Datta, H. Saha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 638–658

Research Article

DETECTION AND REMOVAL OF DUST PARTICLES IN PIPELINES USING 3-D MEMS

Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are present inside the pipeline when liquid is flowing through it. Distributed Acoustic Sensing (DAS) is a recent addition to the pipeline security world. Opta sense system is designed to prevent the damage in

B. Thamilvalluvan, Dr.M.Anto Bennet, K. Gokulakrishnan, S. Harrison, R. Shanmugam, B. Mangaram

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 147–162

Article

NEURAL NETWORK BASED MULTISENSOR FUSION IN A NOVEL PERMANENT MAGNET MULTI-DOF ACTUATOR ORIENTATION DETECTION SYSTEM

Zheng LI

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 911–927

Research Article

Optical Detection of Herbicides in Water using Dye- Modified Single Walled Carbon Nanotubes

detection method. Different concentrations in water ranging from 0.5 to 20 µg/L have been examined in the current work. It is revealed that the shifts in Δ(λ) spectra of SWCNT/CuPcR4 films were evidently larger than those produced by the pristine CuPcR4 films, indicating largely improved films’ sensitivity of the hybrid films.

Hikmat Banimuslem, Aseel Hassan, Tamara Basova, Asuman Dakoğlu Gülmez, Mahmut Durmuş, Ayşe Gül Gürek, Vefa Ahsen

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5

Research paper

IMPLEMENTATION OF A SIMPLE WIRELESS SENSOR NODE FOR THE DETECTION OF GASEOUS SUBSTANCES LEAKAGE

The paper presents the steps involved in implementing a customizable wireless sensor node for the detection of gaseous substances leakage in both internal and external environments. The node consists of various modules namely, sensors, signal conditioning, computational unit, wireless communication and power supply. The measurand to be measured are carbon dioxide, oxygen, relative humidity and temperature. A computational analysis is performed using a nano-watt PIC18LF4620 microcontroller and

S. Edward Jero, A. Balaji Ganesh, T.K. Radhakrishnan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 482–495

Article

Fast Aerial UAV Detection Based on Image Segmentation and HOG-FLD Feature Fusion

In order to detect non-cooperative target UAV quickly and accurately, a novel method of UAV detection method based on graph theory and HOG-FLD feature fusion is presented in this paper. In order to avoid the time-consuming full search, the candidate areas of the UAV are obtained through the selective search of the image segmentation and the similarity, and the features are extracted through the method of gradient orientation histogram fusion FLD linear to train the SVM classifier with

Li Xiaoping, Lei Songze, Wang Yanhong, Xiao Feng, Penghui Tian

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 106–114

research-article

QRS complex detection and R–R interval computation based on discrete wavelet transform

QT interval, the detail description of the ECG is shown in (Fig. 1) (Haddadi et al., 2014). Figure 1: ECG signal structure. The QRS represented significant part of the ECG signal, so it was named as the reference waveform for ECG signals, because it can be used to evaluate the characteristics of the whole signal, so accurate detection was affected the efficiency of ECG analyzing algorithm, also the interval between R–R time can be calculated and rated of heart is determined (Chan et al

Aqeel M. Hamad Alhussainy

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–11

Article

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

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

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

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1601–1623

Article

AN INVESTIGATION OF DECISION ANALYTIC METHODOLOGIES FOR STRESS IDENTIFICATION

In modern society, more and more people are suffering from some type of stress. Monitoring and timely detecting of stress level will be very valuable for the person to take counter measures. In this paper, we investigate the use of decision analytics methodologies to detect stress. We present a new feature selection method based on the principal component analysis (PCA), compare three feature selection methods, and evaluate five information fusion methods for stress detection. A driving stress

Yong Deng, Chao-Hsien Chu, Huayou Si, Qixun Zhang, Zhonghai Wu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1675–1699

Article

Human Identification Based on Walking Detection with Acceleration Sensor and Networked Laser Range Sensors in Intelligent Space

experimental results showed a feasibility of the proposed method. In the proposed system, only walking detection results are communicated among sensors. The proposed system with small data communication is effective for networked sensor systems like intelligent spaces.

Kazuyuki Morioka, Fumitaka Hashikawa, Tomoyasu Takigawa

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2040–2054

Short Communication

Evaluation of the Carba NP Test for the Detection of Carbapenemase Activity in Bacteroides Species

We evaluated the usefulness of the Carba NP test for rapid detection of carbapenemase activity in Bacteroides spp. The minimum inhibitory concentration (MIC) for imipenem was determined with gradient test strips, and cfiA gene was investigated by polymerase chain reaction for 27 clinical Bacteroides spp. isolates. Carba NP test was performed according to recommendations of the Clinical and Laboratory Standards Institute. Among three cfiA gene harboring clinical isolates, two imipenem resistant

Isin Akyar, Meltem Ayas, Onur Karatuna, Yesim Besli

Polish Journal of Microbiology , ISSUE 1, 97–101

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