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This paper focuses on tracking and objects identification by means of High Frequency magnetic coupling RFID (Radio Frequency IDentification) at 13, 56 MHz. The coil of the used RFID tags corresponds to 1.9% of the reader coil surface (120×160 cm2). To increase the size ratio between the two coils, we proposed the use of multiple twisted loops antenna. The reader antenna is consequently divided into...
Distributed system for sampling and analysis of electroencephalograms is proposed and implemented in alpha state. The system is based on the previously developed database for archiving of the electroencephalograms in Ukrainian National Grid infrastructure. The new components of the system include EEG sensors for laboratory animals, simulations software and data procession algorithms. The first application...
Intrusion Detection Systems(IDSs) are widely used to detect both known attacks and unknown attacks performed by internal and external attackers in wireless networks. However, challenging issues for developing IDSs in Wireless Mesh Networks (WMNs) are 1) supporting interoperability and 2) handling volatile parameters. In addition, security standards for WMN are still in draft stage, and to protect...
Computer based recognition and detection of abnormalities in ECG (electrocardiogram) signals is proposed. For this purpose, the Support Vector Machines (SVM) are combined with the advantages of Hermite transform representation. SVM represent a special type of classification techniques commonly used in medical applications. Automatic classification of ECG could make the work of cardiologic departments...
Nowadays, more and more Internet-of-Things (IoT) smart products, interconnected through various wireless communication technologies (Wifi, Bluetooth, Zigbee, Z-wave, etc.) are integrated in daily life, especially in homes, factories, cities, etc. Such IoT technologies have become very attractive with a large variety of new services offered to improve the quality of life of the endusers or to create...
This work presents an original real time, robust micro-expression detection algorithm. The algorithm analyses the movement modifications that occur around the most prominent facial regions using two absolute frame differences. Next, a machine learning algorithm is used to predict if a micro-expression occurred at a given frame t. Two classifiers were evaluated: decision tree and random forest classifier...
This paper presents a system capable of detecting various large sized wild animals from traffic scenes. Visual data is obtained from a camera with monocular color vison. The goal is to analyze the traffic scene image, to locate the regions of interest and to correctly classify them for finding the animals that are on the road and might cause an accident. A saliency map is generated from the traffic...
This contribution is focused on image recognition methods that are suitable for diagnostic purposes in ophthalmology. Particularly it is an identification of bright lesions in fundus images that are a side effect of disease called diabetic retinopathy. To achieve the goal, we used retinal images from the publicly available database, MESSIDOR. These images were pre-processed, transformed and normalized,...
Aortic stenosis (AS) is a condition where the calcification deposit within the heart leaflets narrows the valve and restricts the blood from flowing through it. This disease is progressive over time where it may affect the mechanism of the heart valve. To alleviate this condition without resorting to surgery, which runs the risk of mortality, a new method of treatment has been introduced: Transcatheter...
The article considers one of the actual threats of the Internet of things related to the transmission of malicious or incorrect electronic messages between agents. Methods of the transmitted data automatic verification and filtering by some set of features in Internet systems of things are analyzed. Authors propose an approach to the intelligent detection of unnatural requests between agents, which...
This study discussed on a comparison of three cropping techniques for region of interest (ROI) detection of ultrasonography (USG) image. Ultrasound images are used to provide information about fetal development in the womb. The image generated by the two-dimensional ultrasound has not been able to provide complete information. Therefore, in order get the form of fetus on ultrasound image can be clearly...
With the development of anonymous communication technology, it has led to the fact that the network monitoring is becoming more and more difficult. If the anonymous traffic can be effectively identified, the abuse of such technology can be prevented. Since the study of machine learning is rapidly developing these years, this paper applies the Random Forest Algorithm --- a semi-supervised learning...
This paper deals with detection and analysis of hand activity recognition for rehabilitation purposes. The research attempts to analyze human hand movements analysis based that can aid medical institution in providing a better hand angle measurements for some identified movements. Three axis accelerometer sensors which are placed on particular positons on hand are used to observe the hand movements...
Android has become the most widely used mobile operating system (OS) in recent years. There is much research on methods for detecting malicious Android applications. Dynamic analysis methods detect such applications by evaluating their behaviour during execution. However, such mechanisms may be ineffective as malware is often able to disable antimalware software. This paper presents the design of...
This study is motivated by the problem of evaluating reliable false alarm (FA) rates for sinusoid detection tests applied to unevenly sampled time series involving colored noise, when a (small) training data set of this noise is available. While analytical expressions for the FA rate are out of reach in this situation, we show that it is possible to combine specific periodogram standardization and...
The Environmental Transmission Electron Microscopy (ETEM) provides a powerful tool to observe the formation and evolution of nano-particles over time. However, ETEM generates extremely large amounts of data at level of 3GB/s, which impossible to be analyzed by manually processing or even by using a single PC. Moreover, the image stream obtained from the ETEM is very noisy. In this project, our goal...
Malaria is a disease caused by parasitice protozoa belonging of the genus Plasmodium through the mediation of prick (bite) of Anopheles. Indonesia is one of the countries that has a high endemicity. There are four types of plasmodium that can cause malaria, which are plasmodium falciparum, plasmodium vivax, plasmodium oval and plasmodium malariae. One of the common ways to detect malaria parasites...
Unattended object detection is a crucial task in visual surveillance systems. However, it is challenging in handling false alarms and miss detection rate. In this paper, a two-stage method for the unattended object detection is proposed where the first stage tries to detect all possible unattended objects and prevent miss detections by considering attributes of objects such as staticness, foregroundness,...
Single event transients (SETs) have seriously deteriorated the reliability Integrated circuits (ICs), especially for those in mission- or security-critical applications. Detecting and locating SETs can be useful for fault analysis and future enhancement. Traditional SET detecting methods usually require special sensors embedded into the circuits, or radiation scanning with fine resolutions over the...
This paper investigates an innovative, non-invasive and contactless approach for respiratory rate detection in spontaneous breathing by using an industrial standard humidity and temperature sensor controlled by a microcontroller. Hardware and software have been designed and manufactured and for a spontaneous respiration simulation two different test beds have been developed and evaluated. Results...
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