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Research paper

Effects of harmonics on aesthetic judgments of music: an ERP study involving laypersons and experts

The purpose of the study was to test whether aesthetic judgments of music are affected by expertise or harmonic violation of musical sequences. The participants were 14 musical experts and 13 laypersons; they were asked to judge the beauty and correctness of extracts from J.S. Bach’s chorales. Experts and laypersons showed different late positive potential (LPP) responses to the appraisal of correctness. LPP also proved to be sensitive to the extent to which the extracts violated harmonic

Marta Jaśkiewicz, Piotr Francuz, Emilia Zabielska-Mendyk, Dariusz Zapała, Paweł Augustynowicz

Acta Neurobiologiae Experimentalis , ISSUE 2, 142–151

Article

SPARSE REPRESENTATION THEORY AND ITS APPLICATION FOR FACE RECOGNITION

Face recognition aims at endowing computers with the ability to identify different human beings according to their face images. However, recognition rate will decrease sharply when it refers to the non-ideal imaging environments or the incorporation of users, such as illumination, pose, expression variations and so on. Besides, it will be also influence the recognition results when the database is too large or small. Sparse representation based classification for face images has been one of

Yongjiao Wang, Chuan Wang, Lei Liang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 107–124

Research Article

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

The works presents license plate recognition system using connected component analysis and template matching model for accurate identification. Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image. The system model uses already captured images for this recognition process. First the recognition system starts with character identification based on number plate extraction, Splitting characters and template matching. ALPR as a real life

M.Anto Bennet, B. Thamilvalluvan, Priyanka Paree Alphonse, D.R. Thendralarasi, K. Sujithra

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 330–343

Article

3D Target Recognition Based on Decision Layer Fusion

Target recognition has always been a hot research topic in computer image and pattern recognition. This paper proposes a target recognition method based on decision layer fusion. ModelNet[1]—The 3D CAD model library, which is used to be identified. Features are extracted from the model’s point cloud data and multi-view images. The image is identified using the AlexNet[2] network, The point cloud is identified by the VoxNet[3] network. The fusion algorithm is used in the decision layer to

Ma Xing, Yu Fan, Yu Haige, Wei Yanxi, Yang Wenhui

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 19–22

Article

TARGET RECOGNITION BASED ON ROUGH SET WITH MULTI-SOURCE INFORMATION

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

Cheng Zengping

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1063–1084

Article

Speaker-dependent Isolated-Word Speech Recognition System Based on Vector Quantization

Speaker-dependent speech recognition system requires the system should not only recognize speech, but also recognize the speaker of the segment. In this paper, two indicators are selected—short-time average zero-crossing rate and dual-threshold endpoint to test the signal endpoint through the study of speaker-dependent isolated-word speech characteristics, and MFCC parameters are taken as the characteristic parameters; based on vector quantization, template matching algorithms are

Yinyin Zhao, Lei Zhu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 93–97

research-article

A review of privacy-preserving human and human activity recognition

to hide all the information in big data with cryptography because it is resource constraint and overly complex. Instead, many approaches have chosen to remove the sensitive parts of the information, while at the same time preserving the necessary information for further analysis (Osia et al., 2020). Privacy protection is especially important in the field of dealing with human-related data. Machine learning has widely been applied to the recognition of human and human activity. Human recognition

Im Y. Jung

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

Article

NOVEL MULTI-CLASS SVM ALGORITHM FOR MULTIPLE OBJECT RECOGNITION

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

Yongqing Wang, Yanzhou Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1203–1224

Article

Research on Harris Corner Detection Method in Palmprint Recognition System

normalization of palmprint image is to extract appropriate reference points from Palmprint and establish reference coordinate system to reduce the influence of non-linear factors such as rotation, translation and distortion introduced in the sampling process and improve the robustness of matching recognition algorithm. Good positioning results can not only provide reference frame for other palmprint features, but also provide benchmark for palmprint matching and feature matching. At the same time, it can

Hejing Wu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 72–76

Article

RESEARCH ON UNDERWATER TARGET SIGNAL DETECTION AND RECOGNITION PROCESSING ALGORITHM

Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of

Lijuan Wang, Xiaojing Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1753–1772

Article

ENHANCED IRIS RECOGNITION BASED ON IMAGE MATCH AND HAMMING DISTANCE

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

Gao Xiaoxing, Feng Sumin, Cui Han

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1085–1103

Research Article

Recognition Memory for High and Low Associative Stimuli in Autistic Individuals with Outstanding Memory Skill

Individuals with autism exhibit typical recognition memory performance, but they show a reduced use of context and relational processing in more complex memory tasks. It is unclear whether the same is true for autistic individuals with exceptional memory skill for whom superior rote memory skill has been assumed.In this study, we investigated recognition memory for high and low associative stimuli in autistic memory experts. In accord with the rote memory notion, we expected an equal

Nicola Neumann, Christoph Braun, Anna M. Dubischar-Krivec, Sven Bölte

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , ISSUE 2, 43–50

Article

IMAGE FUSION AND RECOGNITION BASED ON COMPRESSED SENSING THEORY

As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was

Qiuchan Bai, Chunxia Jin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 159–180

Article

RECOGNITION OF THE STACKED OBJECTS FOR BIN PICKING

In this paper, we propose recognition method of the stacked objects for pick-and-place motion. The situation that the objects are stacked miscellaneously in the home is assumed. In the home, the equipment to arrange the objects doesn't exist. Therefore it's necessary to recognize the stacked objects respectively. In this paper, Information on the objects are measured by a laser range finder (LRF). Those information is used as 3-D point cloud, and the objects are recognized by model-base. A

M. Hikizu, S. Mikami, H. Seki

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1177–1188

Article

AUTOMATIC RECOGNITION OF FACIAL EXPRESSION BASED ON COMPUTER VISION

Automatic facial expression recognition from video sequence is an essential research area in the field of computer vision. In this paper, a novel method for recognition facial expressions is proposed, which includes two stages of facial expression feature extraction and facial expression recognition. Firstly, in order to exact robust facial expression features, we use Active Appearance Model (AAM) to extract the global texture feature and optical flow technique to characterize facial expression

Shaoping Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1464–1483

Research Article

INDEX FINGER MOTION RECOGNITION USING SELF-ADVISE SUPPORT VECTOR MACHINE

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

Khairul Anam, Adel Al Jumaily, Yashar Maali

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 644–657

Research Article

STUDY OF VISION BASED HAND GESTURE RECOGNITION USING INDIAN SIGN LANGUAGE

Human Computer Interaction moves forward in the field of sign language interpretation.Indian Sign Language (ISL) Interpretation system is a good way to help the Indian hearing impaired people to interact with normal people with the help of computer. As compared to other sign languages, ISL interpretation has got less attention by the researcher. In this paper, some historical background, need, scope and concern of ISL are given. Vision based hand gesture recognition system have been discussed

Archana S. Ghotkar, Dr. Gajanan K. Kharate

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 96–115

Article

Face Recognition of the Rhinopithecus Roxellana QinlingensisBased on Improved HOG and Sparse Representation

With the researches on face recognition of Rhinopithecusroxellanaqinlingensis, this thesis comes up with some methods that refining traditional HOG and Sparse Representation in order to improve the efficiency in recognizing golden monkeys. As we know, improved HOG is an optimal way to show partial information of an image. Besides, it can also plays an crucial role in staying stability in both optical and geometric distortion, which means the changes in expressions, postures and angles of golden

Cuan Ying, Shi Yaojie

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 194–198

Article

FACE RECOGNITION BASED ON IMPROVED SUPPORT VECTOR CLUSTERING

Traditional methods for face recognition do not scale well with the number of training sample, which limits the wide applications of related techniques. We propose an improved Support Vector Clustering algorithm to handle the large-scale biometric feature data effectively. We prove theoretically that the proposed algorithm converges to the optimum within any given precision quickly. Compared to related state-of-the-art Support Vector Clustering algorithms, it has the competitive performances on

Yongqing Wang, Xiling Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1807–1829

Research Article

A VERSATILE LATTICE BASED MODEL FOR SITUATION RECOGNITION FROM DYNAMIC AMBIENT SENSORS

application.For illustration, we model and perform real time recognition of activity of a person in indoor home environment with ambientsensors.The embedded sensors captureusage and proximity of human beings to objects.We apply the model learnt from one house, foractivity recognition of new persons across different new houses. The recognition results obtained have high precision and recall.

Sangeeta Mittal, Krishna Gopal, S.L. Maskara

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 403–432

Research Article

Thin Film Coated QCM-Sensors and Pattern Recognition Methods for Discrimination of VOCs

Discrimination and quantification of volatile organic compounds (VOCs) using a non-selective sensor requires a combination of sensors followed by pattern recognition methods. Based on this concept, this paper deals with the discrimination of gas from the responses of several gas sensors coated with different type of polymer. Quartz crystal microbalance (QCM) electrodes were coated from hexamethyldisiloxane (HMDSO), hexamethyldisilazane (HMDSN) and tetraethoxysilane (TEOS) for the elaboration of

Omar C. Lezzar, A. Bellel, M. Boutamine, S. Sahli, Y. Segui, P. Raynaud

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

Research Article

DEVELOPMENT OF NEURAL NETWORK-BASED ELECTRONIC NOSE FOR HERBS RECOGNITION

electronic nose system for herbs recognition has been developed. The system consist multi-sensor gas array which detects gas through an increase in electrical conductivity when reducing gases are absorbed on the sensor's surface. The output from individual sensors are collectively assembled and integrated to produce a distinct digital response pattern. A selected sensor array shows its relationship with the aroma of the herbs through the GC-MS test. By using five samples of herbs, the E-nose system has

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

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 584–609

Article

EVALUATION OF FINGER DIRECTION RECOGNITION METHOD FOR BEHAVIOR CONTROL OF ROBOT

When a human gives an order to a robot, the robot must often use its vision to ascertain the human’s indication. In our previous paper, to develop a system where robots precisely receive and obey human orders in daily work spaces, we proposed an experimental system for finger direction recognition (FDR) in 3D space using stereo matching by mounting two cameras on the robot. In this paper, we evaluate this system for FDR in 3D space by performing a series of evaluation experiments using a

T. Ikai, M. Ohka, S. Kamiya, H. Yussof, S. C. Abdullah

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2308–2333

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

Article

Smartphone Application for Fault Recognition

Smart-phones have become an essential tool for many in daily life. Smart-phone Application development has grown rapidly to fulfill the demands of increasingly diverse usage. This paper presents an application based on a fault recognition model that can be used for recognizing different acoustic patterns. The application is made to detect various faulty conditions of an industrial air compressor based on the sound generated by the machine. The application has been tested in real time and is

1Nishchal K. Verma, Rahul K. Sevakula, Jayesh K. Gupta, Sumanik Singh, Sonal Dixit, Al Salour

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1763–1782

Research paper

TIME-VARYING-GEOMETRY OBJECT SURVEILLANCE USING A MULTI-CAMERA ACTIVE-VISION SYSTEM

This paper presents a novel, agent-based sensing-system reconfiguration methodology for the recognition of time-varying-geometry targets (objects or subjects). A multi-camera active-vision system is used to improve form-recognition performance by selecting near-optimal viewpoints along a prediction time horizon. The proposed method seeks to maximize the target visibility in a cluttered, dynamic environment. Simulated experiments clearly show a tangible potential performance gain.

Matthew Mackay, Robert G. Fenton, Beno Benhabib

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 679–704

Article

NEUTROSOPHIC CONCEPT LATTICE BASED APPROACH FOR COMPUTING HUMAN ACTIVITIES FROM CONTEXTS

Complex human activity recognition suffers from ambiguity of interpretation problem. A novel neutrosophic formal concept analysis method has been proposed to quantify non-determinism leading to ambiguity of interpretation and utilize it in activity recognition. The method works by penalizing performance of non-deterministic activities and rewarding the deterministic ones. Thus, non- deterministic activities are identified during testing due to significantly reduced performance and contexts can

Sangeeta Mittal, Krishna Gopal, S.L. Maskara

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1525–1533

Article

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

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

Ning Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1313–1332

Article

VISION BASED MULTI-FEATURE HAND GESTURE RECOGNITION FOR INDIAN SIGN LANGUAGE MANUAL SIGNS

Indian sign language (ISL) is the main communication medium among deaf Indians. An ISL vocabulary show that the hand plays a significant role in ISL. ISL includes static and dynamic hand gesture recognition. The main aim of this paper is to present multi-feature static hand gesture recognition for alphabets and numbers. Here, comparative analysis of various feature descriptors such as chain code, shape matrix, Fourier descriptor, 7 Hu moments, and boundary moments is done. Multi-feature fusion

Gajanan K. Kharate, Archana S. Ghotkar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 124–147

Article

IMAGE PROCESSING AND RECOGNITION ALGORITHM FOR TARGET TRACKING

to improve target tracking performance in dynamic target track system, this paper propose the processing method of positive and negative difference image to extract target information; research target image preprocessing algorithm, the separation and segmentation processing algorithm of target and background, target edge detection and extraction based on the collected images; use Laplace operator, Canny operator. Gauss-Laplace operator to gain target information and improved recognition target

Liping Lu, Jinfang Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 353–376

Article

SINGLE SH-SAW SENSOR AS A DISTRIBUTED SENSOR ARRAY FOR LIQUIDS RECOGNITION

Basic possibility to use single-channel shear-horizontal surface acoustic waves sensor constructed as a delay line on multilayered structure with 36О YX LiTaO3 substrate for liquids recognition has been proposed. The changes under analytes influence of the sensor pulse responses obtained by transformation to time domain of one of the S-parameters measured in frequency domain have been used as sensor responses. Examples of responses to some liquid analytes have been demonstrated for a sensor

R. G. Kryshtal, A.V. Medved

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 602–611

Research Article

A COMPREHENSIVE SURVEY OF VISION BASED VEHICLE INTELLIGENT FRONT LIGHT SYSTEM

, vehicle lamp recognition and track are provided. This survey shows that the Matrix-LED system could make the system more flexible and more effective and vision based vehicle intelligent front light system can improve the driving environment for the ego driver and other road users at night.

Feng LUO, Fengjian HU

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 701–723

Research paper

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

recognition making use of a reader device. Several experimental tests confirmed that the suggested strategy may be applied to track spare parts in assembly lines.

Nicola Ivan Giannoccaro, Luigi Spedicato, Aimè Lay-Ekuakille

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 674–700

Case report

Neuroscience Nursing in Indonesia: Striving for Recognition through Education and Regional Collaboration.

nurses as they strive towards the recognition of neuroscience nursing as a speciality. Through the provision of an overview of current nursing and the health care system in Indonesia, this paper will explore the geographical, economic, political and cultural factors that require consideration when translating experience and expertise.

Linda Nichols, Enny Mulyatsih

Australasian Journal of Neuroscience , ISSUE 1, 10–16

Research Article

Emotion recognition from the eye region in children with and without Autism Spectrum Disorder in Arab and Scandinavian countries

Background:Difficulties in facial emotion recognition (ER) skills are linked to autism spectrum disorder (ASD) in studies performed in Western and Eastern Asian countries. However, there is a paucity of research examining ER skills in Arab countries, where face-covering veils are more common than in Western countries.Objective:Our aim was to examine basic ER and ER error patterns in Egyptian and Finnish children with and without ASD.Method:We employed the eye-submodule of the Frankfurt Test and

Sanna Kuusikko-Gauffin, Sherin Elsheikh, Sven Bölte, Manal Omar, Geylan Riad, Hanna Ebeling, Arja Rautio, Irma Moilanen

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , ISSUE 4, 159–169

Research Article

IDENTIFICATION OF TWO TYPES OF ROTTEN MEAT USING AN ELECTRONIC NOSE FOR FOOD QUALITY CONTROL

identified by human. Durations and gases emit of its rotten are determined by the pattern recognition methods PCA (Principal Components Analysis) for classification and DFA (Discriminate factorial analysis) for dating, and we will be identify between those rotten meat by DFA method.

Nihad Benabdellah, Khalid Hachami, Mohammed Bourhaleb, Naima Benazzi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 673–695

Article

FILM THICKNESS MEASUREMENT OF MECHANICAL SEAL BASED ON CASCADED ARTIFICIAL NEURAL NETWORK RECOGNITION MODEL

, wavelet packet and kernel principal component analysis are used to extract the data features. Then cascaded decision is presented to improve the recognition rate of artificial neural network, by which the film thickness can be estimated accurately. With a set of tests, the results demonstrate that the method is effective. It can be widely used to take measurement of the film thickness in industrial field.

Erqing Zhang, Pan Fu, Kesi LI, Xiaohui Li, Zhongrong Zhou

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1870–1889

Article

IRIS-FACE FUSION AND SECURITY ANALYSIS BASED ON FISHER DISCRIMINANT

With the development of society and science technology, the information security becomes more and more important for people and nation. In this paper, we focus on the technology of iris-face fusion in multi-mode sense in order to find an algorithm to get a better recognition performance. Firstly, we introduce the feature extraction of iris and face, and fusion the features using different algorithms. By simulation, we find out the recognition performance with different fusion methods, which

Qihui Wang, Bo Zhu, Yo Liu, Lijun Xie, Yao Zheng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 387–407

Article

A STUDY OF X-RAY MACHINE IMAGE LOCAL SEMANTIC FEATURES EXTRACTION MODEL BASED ON BAG-OFWORDS FOR AIRPORT SECURITY

The aviation security at the airport has been faced with increasingly severe situations since the 9-11 event. It’s of utmost importance to train airport X-ray machine screener’s image recognition competency. So they can prevent terrorists from bringing dangerous articles in their carry-on or checked bags. However, usually the luggages are placed in different positions and the density & volume of articles differ greatly. As a result, dangerous articles show a variety of X-ray image features

Ning Zhang, Jinfu Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 45–64

Article

A New Connected-Component Labeling Algorithm

Yuyan Chao, Lifeng He, Kenji Suzuki, Qian Yu, Wei Tang

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

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

FEATURES OF SLEEP APNEA RECOGNITION AND ANALYSIS

LEONG WAI YIE, JOEL THAN CHIA MING

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 481–497

Article

ORGANISATION OF THE WORK ON COLLECTING ROUTES IN POSTAL ACTIVITY THROUGH AN AUTOMATED SYSTEM FOR COLLECTION OF INFORMATION

Summary. In the present study the transport work on collecting routes in "Bulgarian Posts" EAD has been analysed. Routes have been defined, in which a reduction of the transport costs is possible if pre-collected information about the availability of letters in the mailboxes is available. For this purpose, an automated system was created, which can recognise the availability of letters and send notifications. The method and the recognition criterion are described and the critical

Velizara PENCHEVA, Asen ASENOV, Dzhemal TOPCHU, Ivan BELOEV, Boris EVSTATIEV

Transport Problems , ISSUE 3, 147–157

Article

Lidar Image Classification based on Convolutional Neural Networks

This paper presents a new method of recognition of lidar cloud point images based on convolutional neural network. This experiment uses 3D CAD ModelNet, and generates 3D point cloud data by simulating the scanning process of lidar. The data is divided into cells, and the distance is represented by gray values. Finally, the data is stored as grayscale images. Changing the number of cells dividing point cloud results in different experimental results. Experiments show that the proposed method has

Yang Wenhui, Yu Fan

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 158–162

Research paper

VISION-INTEGRATED PHYSIOTHERAPY SERVICE ROBOT USING COOPERATING TWO ARMS

Huanbing Gao, Shouyin Lu, Guohui Tian, Jindong Tan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1024–1043

Article

Selecting Attractor Sounds for Audio-Based Navigation by People with Vision Impairments

Research into human hearing has been ‘laboratory’ oriented in the sense that the test environments do not replicate most ‘real world’ situations (Middlebrooks & Green, 1991). It is difficult to see how such tests accurately represent ‘real world’ situations regarding sound source localisation, recognition, and navigation (walking/way-finding) performance. The research reported here was conducted during the development of an audio-based indoor navigation

Brad Salisbury, M.S., Koorosh Naghshineh, Ph.D., William Wiener, Ph.D.

International Journal of Orientation & Mobility , ISSUE 1, 8–26

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

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

Research paper

Face processing in a case of high functioning autism with developmental prosopagnosia

perception and recognition, thus creating a unique neurodevelopmental condition. We used eye-tracking and functional magnetic resonance imaging (fMRI) method. Eye-tracking and fMRI results of PK were compared to results of control subjects. Patient PK showed atypical gaze-fixation strategy during face perception and typical patterns of brain activations in the FG and OFA. However, a significant difference between PK and control subjects was found in the left anterior superior temporal sulcus/middle

Hanna B. Cygan, Hanna Okuniewska, Katarzyna Jednoróg, Artur Marchewka, Marek Wypych, Anna Nowicka

Acta Neurobiologiae Experimentalis , ISSUE 2, 114–131

Article

Detection of Blink State Based on Fatigued Driving

blinking and the duration of time through the cyclic neural network (RNN), so as to better distinguish the state of blink and blink, through the comparison of one-way and two-way circulating neural networks. One-way neural networks work better in blink detection. However, neural networks have their own limitations. For example, network merging will lose a lot of information. In the field of face recognition, the relationship between part and whole is neglected, and each person’s face features are

Lei Chao, Wang Changyuan, Li Guang, Shi Lu

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

Research paper

RECOGNITION OF PSORIASIS FEATURES VIA DAUBECHIES D8 WAVELET TECHNIQUE

H. Hashim, S. Ramli, N. Wahid, M. S. Sulaiman, N. Hassan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 711–732

Article

A SCENE RECOGNITION ALGORITHM BASED ON MULTI-INSTANCE LEARNING

Tao Wang, Wenqing Chen, Bailing Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1470–1492

Article

A New Method of Improving the Traditional Traffic Identification and Accuracy

identification. That is, the general network protocol port number [8] is used to roughly classify traffic. For example, the protocol uses a fixed port. However, with the development of the Internet, merely relying on port identification technology has been insufficient to distinguish between more and more network applications and protocols. In 2004, an application layer load signature recognition method, the DPI technology [9], was proposed to extract the data message samples and determine whether the

Wang Zhongsheng, Gao Jiaqiong

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 53–60

Article

TRACKING OF MOVING TARGET BASED ON VIDEO MOTION NUCLEAR ALGORITHM

Wang Xiaojun, Pan Feng, Wang Weihong

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

Article

Species Delimitation and Description of Mesocriconema nebraskense n. sp.(Nematoda: Criconematidae), a Morphologically Cryptic, Parthenogenetic Species from North American Grasslands

of genetic separation. Based on their genetic divergence, fixed diagnostic nucleotides, population structure, species delimitation metrics, and a sympatric distribution, we believe that one of these distinct lineages warrants formal nomenclatural recognition. Herein, we provide formal recognition for Mesocriconema nebraskense n. sp. and discuss its relationship to other Mesocriconema lineages discovered in native North American grasslands.`

MAGDALENA OLSON, TIMOTHY HARRIS, REBECCA HIGGINS, PETER MULLIN, KIRSTEN POWERS, SEAN OLSON, THOMAS O. POWERS

Journal of Nematology , ISSUE 1, 42–66

Article

VEHICLE MODEL RECOGNITION BASED ON USING IMAGE PROCESSING AND WAVELET ANALYSIS

Elyas Abbasi Jennat Abadi, Soheyl Akhlaghi Amiri, Masoud Goharimanesh, Aliakbar Akbari

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2212–2230

Article

An Investigation on Tree-Based Tags Anti-Collision Algorithms in RFID

The tree-based tags anti-collision algorithm is an important method in the anti-collision algorithms. In this paper, several typical tree algorithms are evaluated. The comparison of algorithms is summarized including time complexity, communication complexity and recognition, and the characteristics and disadvantages of each algorithm are pointed out. Finally, the improvement strategies of tree anti-collision algorithm are proposed, and the future research directions are also prospected.

Su Xiaohao, Liu Baolong

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 1–13

Article

PSO ALGORITHM FOR SINGLE AND MULTIPLE ODOR SOURCES LOCALIZATION PROBLEMS: PROGRESS AND CHALLENGE

Odor sensing technology in robotic research introduce two research field namely odor recognition and odor source localization. Odor source localization research also includes the odor recognition ability with localization method. This paper shows some experiment had been done to localize odor source using single agent and multiple agents. Experiment shows that single agent can’t be used in dynamic environment, hence also can’t be used in real life application. This paper promotes an algorithm

W. Jatmiko, F. Jovan, R.Y.S. Dhiemas, M.S. Alvissalim, A. Febrian, D. Widiyanto, D.M.J. Purnomo, H.A. Wisesa, T. Fukuda, K. Sekiyama

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1431–1478

Article

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

Pan Feng, Wang Xiaojun, Wang Weihong

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

Research Article

Novel Application  of Spherical Microphone Array Sensor  with Three-Dimensional Directivity

Takahiro Nakadai, Tomoki Taguchi, Hiroshi Mizoguchi, Ryohei Egusa, Etsuji Yamaguchi, Shigenori Inagaki, Yoshiaki Takeda, Miki Namatame, Masanori Sugimoto, Fusako Kusunoki

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

Research Article

Smart Home: Recognition of activities of elderly for 24/7; Coverage issues

Anindya Nag, Subhas Chandra Mukhopadhya

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–10

Article

FAST RCS MODELING FOR DYNAMIC TARGET TRACKING

Xiang Hua, Wuwei Yuan, Bin Lei

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1956–1976

Article

PREDICTION OF PCCP FAILURE BASED ON HYDROPHNE DETECTING

Prestressed Concrete Cylinder Pipe (PCCP) is a widely used water pipe all over the world. A major cause of PCCP failure is the internal wire break, which will emit acoustic signal. In this paper, a hydrophone-based PCCP real-time monitoring and failure-prediction system was proposed. By applying wavelet energy normalization analysis to signal feature extraction and Support Vector Machine (SVM) to signal recognition, a high prediction accuracy of 98.33% was achieved. The result showed that the

Yuan Zhang, Yibo Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1582–1598

Article

Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification

Electrocardiogram (ECG) signal for human identity recognition is a new area on biometrics research. The ECG is a vital signal of human body, unique, robustness to attack, universality and permanence, difference to others traditional biometrics technic. This study also proposes Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ), that integrating feature extraction and classification method. The experiments shown that AMGLVQ can improve the accuracy of classification better

Elly Matul Imah, Wisnu Jatmiko, T. Basaruddin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1891–1917

research-article

COMPRESSIVE STRENGTH OF SELECTED FINE GRAINED SOILS TREATED WITH CEMENT KILN DUST AND CALCAREOUS FLY ASH

Karolina KNAPIK-JAJKIEWICZ, Grzegorz GAJ, Adrian KOWALSKI, Sandra PRĘDKA

Architecture, Civil Engineering, Environment , ISSUE 1, 79–86

Article

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

signals, takes the characteristics of internal defect energy to be obtained as network input, selects the wavelet neural network (WNN) with “compact” type and realizes the recognition on the classification of micro cracks and pores of 3d braided composites.

Su Hua, Zhang Tianyuan, Zhang Ning

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 780–798

Article

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation of the dynamic fuzzy system theory, and the theory of dynamic fuzzy dynamic fuzzy on the

Wang Tao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 89–92

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

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

Research Article

Signature Extraction from 3D Point Clouds using Frame Theory for Environmental Modeling

Fabio Martino, Cosimo Patruno, Roberto Marani, Ettore Stella

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

Article

UHF RFID METAL TAG APPLYING TO LICENSE PLATE USING METAL SHIELDING AND WATERTIGHT METHODS

about 5 m above far distance more than the average readable range of commercial tag antenna. The RFID have ability of 0.5 seconds of recognition speed in the evaluation of performance. The tag for license plate will be able to provide to the custom administrator and goods manager in various telemetries services.

Gi-Hyun Hwang, Kyoung-Hwan Cha, Sachin Bhardwaj, Dae-Seok Lee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 549–563

Article

Dithiothreitol treatment of red blood cells

C.B. Bub

Immunohematology , ISSUE 4, 170–172

Research Article

A NOVEL TWO-STEP STRATEGY FOR POINT CORRESPONDENCE IN MULTI-OCULAR SYSTEM

Camera is widely used for 3D-Reconstruction and Recognition where a fundamental task is point correspondence that finds the corresponding points captured by different cameras from the same 3D-point. The approaches based on epipolar constraint are very effective for the task. However, they set the threshold of epipolar constraint by empirical method, and their complexity and computational cost will quickly increase with increasing the number of cameras. This paper proposes a novel two-step

Haibin Wang, Qing He, Guan Guan, Bin Leng, Dewen Zeng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 136–153

Article

ACOUSTIC-PHONETIC FEATURE BASED DIALECT IDENTIFICATION IN HINDI SPEECH

Every individual has some unique speaking style and this variation influences their speech characteristics. Speakers’ native dialect is one of the major factors influencing their speech characteristics that influence the performance of automatic speech recognition system (ASR). In this paper, we describe a method to identify Hindi dialects and examine the contribution of different acoustic-phonetic features for the purpose. Mel frequency cepstral coefficients (MFCC), Perceptual linear

Shweta Sinha, Aruna Jain, S. S. Agrawal

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 235–254

Article

HYPERSPECTRAL DATA FEATURE EXTRACTION USING DEEP BELIEF NETWORK

Hyperspectral data has rich spectrum information, strong correlation between bands and high data redundancy. Feature band extraction of hyperspectral data is a prerequisite and an important basis for the subsequent study of classification and target recognition. Deep belief network is a kind of deep learning model, the paper proposed a deep belief network to realize the characteristics band extraction of hyperspectral data, and use the advantages of unsupervised and supervised learning of deep

Jiang Xinhua, Xue Heru, Zhang Lina, Zhou Yanqing

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1991–2009

Article

FACE ALIGNMENT BASED ON SEMI-ACTIVE APPEARANCE MODE

In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the

Shiliang Yan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1493–1515

Article

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

generalization ability to identify the UAV. The method can detect the UAV quickly and accurately under complicated background and circumstances of various position and angle. Compared with the sliding window method based on image segmentation and HOG+SVM, the experimental results show that the speed of this method has been obviously improved with the same recognition accuracy.

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

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

Case report

Fetal ultrasound: Early diagnosis and natural evolution of proximal femoral focal deficiency

. Another finding in our patient was a concomitant intrauterine growth restriction that we attribute to placental infarctions and a retro placental hemorrhage, also on the basis of sickle cell trait. At birth, placental weight was under the 10th percentile for gestational age. Obstetrical ultrasound in the prenatal diagnosis of proximal femoral focal deficiency is important, because early recognition of this malformation could provide useful information to parents and physicians regarding newborn

Eugenio O. Gerscovich, Simran Sekhon, Thomas W. Loehfelm, Adam Greenspan

Journal of Ultrasonography , ISSUE 71, 294–298

research-article

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

smooth the signal through different stage of the algorithm (Park et al., 2017). In 2017, Runnan He1 et al. proposed QRS detection algorithm in a real-time. In this technique, baseline noise is removed from the signal by band-pass filter. Then, recognition method is constructed from combining (KNN) and (PSO) methods, which are used to select the parameters, this optimization can increase the accuracy for QRS complex detection. Also, in this work, first-order differentiation with five point filter was

Aqeel M. Hamad Alhussainy

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

Research paper

THE MEASUREMENT OF SUBJECTIVE WELL-BEING IN SURVEY RESEARCH

About a year ago, in recognition of the importance of measuring subjective well-being in surveys and the challenges it presents, Statistics in Transition new series (SiT) announced a plan to publish an issue containing a collection of papers on statistically relevant aspects of research on subjective well-being. This thematic issue of SiT is the result of that plan. It contains a set of original papers especially produced for this occasion that present some recent advances in surveybased

Graham Kalton, Christopher Mackie, Wlodzimierz Okrasa

Statistics in Transition New Series , ISSUE 3, 329–332

Research Article

HUMANITARIAN DEMINING ROBOT GRYPHON CURRENT STATUS AND AN OBJECTIVE EVALUATION

Mechanical systems or robots to assist landmine detection are expected to greatly improve quality of humanitarian demining tasks. These new systems could provide: i) safer operation; ii) advanced methods for automatic target recognition and discrimination; iii) consistent performance with less influence of “human-factors”; iv) better detection performance, i.e., higher probability of detection (POD) and lower false alarm rate (FAR); among others. However, despite many research/development

Edwardo F. Fukushima, Marc Freese, Toshiaki Matsuzawa

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 735–753

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

Research Article

ECG Decision Support System based on feedforward Neural Networks

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

Hela Lassoued, Raouf Ketata, Slim Yacoub

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

Article

Street View House Number Identification Based on Deep Learning

pattern recognition to identify the house number [5]. Ma Liling et al. used the linear discriminant linear local tangent space alignment algorithm (ODLLTSA) and the support vector machine (SVM) method to identify the house number, use the extracted features to train the SVM classifier, and use the SVM classifier to the new house number classification [6]. For these traditional methods, the key to determining their performance is to have a good classifier, and the features in the classifier are mostly

Haoqi Yang, Hongge Yao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 47–52

Article

TIME-SERIES ANALYSIS AND MODELLING TO PREDICT AVIATION SAFETY PERFORMANCE INDEX

features, utilising time-series analysis, which can improve both the recognition of the index by the industry as well as the motivations to further research and develop methodologies to evaluate overall aviation safety performance using its quantified system properties. This paper discusses not only the features but also their embedding into the existing approach for the development of aviation safety, highlighting possible deficiencies to overcome and relating the scientific work already performed in

Andrej LALIŠ

Transport Problems , ISSUE 3, 51–58

Research Article

Health initiatives to target obesity in surface transport industries: Review and implications for action

Lifestyle-related chronic diseases pose a considerable burden to the individual and the wider society, with correspondingly negative effects on industry. Obesity is a particular problem for the Australasian road and rail industries where it is associated with specific cardiac and fatigue-related safety risks, and levels are higher than those found in the general population. Despite this recognition, and the introduction of National Standards, very little consensus exists regarding approaches to

Janine Chapman, Anjum Naweed

Evidence Base , ISSUE 2, 1–20

Research paper

THE AUTONOMOUS GOLF PLAYING MICRO ROBOT: WITH GLOBAL VISION AND FUZZY LOGIC CONTROLLER

ball with orange color is use during the game. The system utilizes global camera vision that serves as the eyes of the robot to know its dynamic environment for navigation. The vision system developed detects the position of the robot, golf hole, golf boundaries, and the golf ball within the playing field on real time using color object recognition algorithm. A modified golf tournament between autonomous robot golf player and man operated robot golf player was conducted. Results shows the accuracy

N. G. Jabson, K.G. B. Leong, S. W. Licarte, G. M. S. Oblepias, E. M. J. Palomado, E .P. Dadios

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 824–841

Original Paper

Broad Prebiotic Potential of Non-starch Polysaccharides from Oats (Avena sativa L.): an in vitro Study

Prebiotics inducing the growth or activity of beneficial intestinal bacteria – probiotics producing short-chain fatty acids (SCFA) have lately received wide recognition for their beneficial influence on host intestinal microbiota and metabolic health. Some non-starch polysaccharides (NSP) are defined as prebiotics and oats being one of richest sources of NSP in grains are considered as potentially having prebiotic effect. However, information on fermentation of specific NSP of oats is limited

VANDA SARGAUTIENE, ILVA NAKURTE, VIZMA NIKOLAJEVA

Polish Journal of Microbiology , ISSUE 3, 307–313

research-article

SELECTED ANALYSIS OF ENERGY-SAVING KINDERGARTEN IN ZŁOTY POTOK – COMMUNE OF JANOW, ALONG WITH ITS USAGE EVALUATION. A CASE STUDY

Ada KOŁODZIEJCZYK-KĘSOŃ

Architecture, Civil Engineering, Environment , ISSUE 1, 19–32

Review

The Augustine blood group system, 48 years in the making

The high-prevalence antigen, Ata, was first identified in 1967, but it was not until 2015 that Ata became AUG1 of a new blood group system, Augustine (AUG). The new system was established after the identification of the gene encoding Ata and the recognition of a null phenotype (AUG:–1,–2) in an At(a–) patient with an antibody (anti-AUG2) reactive with At(a–) red blood cells. The At(a–) phenotype is very rare and, with the exception of the one family with the null

Geoffrey Daniels

Immunohematology , ISSUE 3, 100–103

Research Article

A novel in vitro chemotaxis bioassay to assess the response of Meloidogyne incognita towards various test compounds

Plant-parasitic, root-knot nematodes (Meloidogyne spp.) are a serious problem in agri- and horticultural crops worldwide. Understanding their complex host recognition process is essential for devising efficient and environmental-friendly management tactics. In this study, the authors report a new, simple, inexpensive, efficient, and quantitative method to analyze the chemotaxis of M. incognita second-stage juveniles (J2s) using a combination of pluronic gel and agar in a petri dish. The authors

Tagginahalli N. Shivakumara, Tushar K. Dutta, Uma Rao

Journal of Nematology , ISSUE 4, 487–494

Case report

Cognitive functions in myoclonic epilepsy with ragged red fibres – a case report

symptoms such as multifocal myoclonus, cerebellar syndrome (gait impairment, intention tremor, ataxia and dysmetria). The diagnosis of MERRF was confirmed at the age of 16. Neuropsychological examination showed slowing of verbal learning and deficient spontaneous recall with improvement on recognition as well as low verbal fluency. Discussion. The authors discuss differential diagnosis of mitochondrial diseases (MIDs) in respect to cognitive function impairment and, in particular, to dementia: MELAS

Martyna Domańska, Emilia J. Sitek, Michał Schinwelski, Maria Mazurkiewicz-Bełdzińska, Agnieszka Matheisel, Jarosław Sławek

Journal of Epileptology , ISSUE 1, 69–74

rapid-communication

Internet-based digital video atlas of sonographic findings for clinical and educational purposes

Daniel Merkel, Christoph Schneider, Michael Ludwig

Journal of Ultrasonography , ISSUE 80, e24–e28

Research paper

Antimuscarinic-induced convulsions in fasted mice after food intake: no evidence of spontaneous seizures, behavioral changes or neuronal damage

convulsions, mice treated i.p. with saline (control) or 2.4 mg/kg atropine and given food after 24 h of fasting were grouped according to seizure scores for behavioral and histological analysis. Following convulsions, the occurrence of spontaneous recurrent seizures was observed for 30 days. Motor activity and grooming behavior were assessed in the open field, and memory was assessed using the novel object recognition test 4 and 7 days after onset of convulsions, respectively. Animals allocated for the

Nurhan Enginar, Asiye Nurten, Aslı Zengin Türkmen, Gül İpek Gündoğan, Zeynep Güneş Özünal

Acta Neurobiologiae Experimentalis , ISSUE 4, 373–381

Article

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

applications in automated vehicle inspection, cleaning, and security screening. In order to efficiently navigate the robotic manipulator along the vehicle’s surface within regions of interest that are selectively identified, an efficient and accurate integration of information from multiple RGB-D sensors and robotic components is proposed. The main components of the proposed approach include: automated vehicle category recognition from visual information; RGB-D sensors calibration; extraction of specific

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

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 419–447

Article

AN ADAPTIVE VOICE ACTIVITY DETECTION ALGORITHM

to start-point area, reverse scanning is put to end-point area, combining adaptive threshold judgement of consecutive frames, start-point and end-point of the effective speech can be accurately located. Experimental results show that the method of this paper can detect endpoints of voice signal more quickly and accurately, which can improve recognition performance dramatically. Large-scale can increase detection speed, small-scale can improve detection accuracy, both can be adjusted to satisfy

Zhang Zhigang, Huang Junqin

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

Article

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

distributions. To examine the detection performance of the proposed method, experiments have been conducted on actual and polluted images, respectively. The experimental results have demonstrated that the recognition ratio of the intersection points by the proposed ridge line fitting-based method is as high as 100%, the false positive ratio is 0 and the matching accuracy is up to 100%. Compared with the results obtained using traditional methods, the proposed method detection results are characterized by

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

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

research-paper

Prevention of cadmium-induced neurotoxicity in rats by essential nutrients present in nuts

to behavioral analysis by monitoring depressogenic and anxiogenic behaviors in the forced swim test (FST) and light/dark transition (LDT) test, respectively. Memory function was assessed using the elevated plus maze (EPM), Morris water maze (MWM) and novel object recognition (NOR) task. Administration of nuts was continued until the end of the behavioral analysis. Rats were decapitated after behavioral analysis to collect brain samples, which were stored at −20°C for analysis of biogenic amine

Zehra Batool, Faiza Agha, Saiqa Tabassum, Tuba Sharf1 Batool, Rafat Ali Siddiqui, Saida Haider

Acta Neurobiologiae Experimentalis , ISSUE 2, 169–183

Article

PARECHOVIRUSES – UNDERESTIMATED RISK

numbers 22 and 23 (E22, E23). The first strains, named Harris and Williamson (E22 and E23, respectively), differed significantly from other enteroviruses in their growth in the cell cultures, despite meeting the criteria for belonging to the ECHO viruses [75]. Molecular studies have also showed significant homology of both strains, while at the same time having little similarity to the sequences of known enteroviruses. In 1996, detailed studies on the biological properties and recognition of the

Arleta Krzysztoszek, Magdalena Wieczorek

Postępy Mikrobiologii - Advancements of Microbiology , ISSUE 3, 301–315

Research Article

UNDERGROUND COMMUNICATION – THE NEW ELEMENTS OF SIGNALLING PATHWAYS OF ARBUSCULAR MYCORRHIZAL SYMBIOSIS

roots of host plants release strigolactones, which stimulate germination and branching of spores of arbuscular fungi. As a result, the fungi synthesize molecular signals, i.e. chitooligosaccharides (COs) and lipochitooligosaccharides (LCOS), called MycF factors. Thanks to the development of molecular biology techniques the probable cascade of events during the recognition of fungal MycF factor by the host-plant has been outlined. The enzyme 3-hydroxy-3-methylglutaryl coenzyme A reductase 1 (HMGR1

Katarzyna Jas, Urszula Małolepsza

Postępy Mikrobiologii - Advancements of Microbiology , ISSUE 3, 275–281

Review

Standards of the Polish Ultrasound Society – update. Ultrasound examination of the visceral arteries

Ultrasound examination is a valuable method in diagnosing visceral vasoconstriction of atherosclerotic origin, as well as constriction related to the compression of the celiactrunk. Given the standard stenosis recognition criteria of >70%, the increase in peak systolic velocity (PSV) over 200 cm/s in the celiac trunk; of PSV > 275 cm/s in the superior mesenteric artery, and of PSV > 250 cm/s in the inferior mesenteric artery, thelikelihood of correct diagnosis is above 90%. In the case of

Michał Elwertowski, Robert Lechowicz

Journal of Ultrasonography , ISSUE 60, 85–95

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