bluuebunny/crossref_metadata_2025 huggingface dataset:
DIVIDING OUTLIERS INTO VALUABLE AND NOISE POINTS
Authors: Podolskiy Vladimir E.
Published: February 2021

A great number of different clustering algorithms exists in computer science. These algorithms solve the task of dividing data set into clusters. Data points which were not included into one of these clusters are called ‘outliers’. But such data points can be used for the discovery of unusual behavior of the analyzed systems. In this article we present a novel fuzzy based optimization approach for division these outliers into two classes: interesting (usable for solving the problem) outliers and noise.
FAULT TOLERANCE IN GRIDS USING JOB REPLICATION
Authors: Amoon Mohammed
Published: February 2021

As grids consist of a large number of resources, fault tolerance forms an important aspect of the scheduling process. In this paper, we address the problem of scheduling user jobs in grids so that failures can be avoided in the presence of resources faults. We employ job replication as an effective mechanism to achieve efficient and fault-tolerant scheduling system. Most of the existing replication-based algorithms use a fixed number of replications for each job which consumes more grid resources. We first propose an algorithm to determine adaptively the number of job replicas according to the grid failure history. Then we propose an algorithm to schedule these replicas. The proposed algorithms have been evaluated through simulation and have shown better performance in terms of grid load, throughput and failure tendency.
EARCT- ENVIRONMENT FOR AUTOMATED RANK BASED CONTINUOUS AGENT TESTING
Authors: Kumar Ashok , Goyal Vinay
Published: February 2021

Testing MAS (Multi-agent System) is a challenging task because these systems are distributed, complex and autonomous in nature. Agents exist in an open environment having their own locus of control and they require context awareness. So due to these agent’s characteristics, testing MAS system using existing testing techniques becomes a very tedious job. Agents also pose problems regarding message communication and semantic interoperability, as well as synchronization with other agents existing in the environment. All these features are known to be hard not only to design and to code, but also to test. In this paper we will propose a unique environment EARCT to test MAS keeping in mind the essential software engineering paradigms such as effort consumed, errors revealed etc.
A CREATION OF THE LINGUISTIC ONTOLOGY BASED ON ASTRUCTURED ELECTRONIC ENCYCLOPEDIC RESOURCE
Authors: Mykhailiuk Anton , Mykhailiuk Olena , Pylypchuk Oleksiy , Tarasenko Volodymyr
Published: February 2021

Solving the problem of intelligent information retrieval requires the use of additional specialized linguistic resources. One of such type of resources is a linguistic ontology of a subject field. The paper considers an approach to develop software for an automatic creation of an ontological knowledge base by the converting structured encyclopedic resource into appropriate ontology’s objects. The procedures of creation of the ontology entities base, the hierarchy of entities and the network of associative links are considered. Qualitative and quantitative analysis of the produced experimental ontology based on Ukrainian part of Wikipedia is investigated.
NATURAL RESOURCES AND THEIR USE FOR CHECKABILITY INCREASING THE DIGITAL COMPONENTS OF SAFETY-CRITICAL SYSTEMS
Authors: Drozd Julia , Drozd Alexander , Sulima Julian
Published: February 2021

The models, methods and means as target resources for solving tasks for design and testing of computer systems and their components are considered. A criterion for choosing the target resources activating the natural resources for the increasing the efficiency of task solutions is determined. A problem of low checkability of digital components of safety-critical systems is examined and the ways of its solution is showed by choosing the target resources in accordance with the offered criterion. The way of elimination of a contradiction between the target resources aimed to maintain the checkability, productivity and low complexity of digital components is described. This way is based on parallelization of computations with the use of the serial codes.
TO WARDS DATA PERSIST ENCY IN REAL-TIME ONLINE INTERACTIVE APPLIC ATIONS
Authors: Knemeyer Max , Nsaif Mohammed , Glinka Frank , Ploss Alexander , Gorlatch Sergei
Published: February 2021

The class of distributed Real-time O nline Interactive Applications (ROIA) includes such important applications as Massively Multiplayer Online Games (MMOGs), as well as interactive e-Learning a nd simulation systems. These applications usually work in a persistent environment (also called world) which continues to exist and evolve also while the user is offline and away from the application. The challenge is how to efficiently make the world and the player characters persistent in the system over time. In this paper, we deal with storing persistent data of real-time interactive applications in modern relational databases. We analyze the major requirements to a system for persistency and we describe a preliminary design of the Entity Persistence Module (EPM) middleware which liberates the application developer from writing and maintaining complex a nd error-prone code for persistent data management. EPM automatically performs the mapping operations to store/ retrieve the complex data to/from different types of relational databases, supports the management of persistent data in memory, and integrates it into the main loop of the ROIA client-server architecture.
COMPARISON OF CONVENTIONAL AND SPREAD SPECTRUM SIGNALS TIME OF FLIGHT ERROR CAUSED BY NEIGHBORING REFLECTIONS
Authors: Svilainis Linas , Aleksandrovas Arturas , Lukoseviciute Kristina , Eidukynas Valdas
Published: February 2021

Performance comparison of conventional and spread spectrum signals in Time of Flight estimation is given. Ultrasonic measurement under multiple reflections condition is analyzed. It was indicated that if two reflections are in close proximity the neighboring signal induces energy leak into its opponent signal. Due to such situation ToF estimate is obtained with bias error. Narrow signals like single rectangular pulse, should suffer less from the aforementioned phenomena. But use of spread spectrum signals is preferred thanks to their compressibility. It was hypothesized that such long signals will have worse bias error due to neighbor reflection. Goal of the investigation was to compare the performance in multiple reflections environment in Time of Flight estimation for classical signals and spread spectrum signals. Investigation revealed that spread spectrum signals have better performance in a sense of bias error caused by neighboring reflection.
ONLINE DISTRIBUTED SOURCE LOCALIZATION FROM EEG/MEG DATA
Authors: Pieloth Christof , Knosche Thomas R. , Maess Burkhard , Fuchs Mirco
Published: February 2021

Electroencephalography (EEG) and Magnetoencephalography (MEG) provide insight into neuronal processes in the brain in a real-time scale. This renders these modalities particularly interesting for online analysis methods, e.g. to visualize brain activity in real-time. Brain activity can be modeled in terms of a source distribution found by solving the bioelectromagnetic inverse problem, e.g. using linear source reconstruction methods. Such methods are particularly suitable to be used on modern highly parallel processing systems, such as widely available graphic processing units (GPUs). We present a system that, according to its modular scheme, can be configured in a very flexible way using graphical building blocks. Different preprocessing algorithms together with a linear source reconstruction method can be used for online analysis. The algorithms use both CPU and GPU resources. We tested our system in a simulation and in a realistic experiment.
SENSOR BASED ALGORITHMS FOR DEAD RECKONING: A COMPARISON OF TWO APPROACHES FOR SMARTPHONES
Authors: Caspari Daniel , Strutu Mircea , Riedhammer Lucas , Grossmann Uwe
Published: February 2021

The implementation of a reliable indoor localization system can be the starting point for a variety of much desired applications. Either for efficient patient monitoring inside a hospital or as an automatic guide inside a museum, a working localization solution can be useful. Smartphone technology represents a powerful and user friendly tool in order to achieve adequate indoor positioning. This paper explores the potential of using smartphone sensor data (accelerometer and compass) in order to track the location of the person holding the device using dead reckoning algorithms. Two different approaches are under scrutiny in order to assess their performance in different real life inspired scenarios.
WEB-SERVER APPLICATION FOR FAST AND ROBUST RECOGNITION OF EXHIBITS IN THE MUSEUM
Authors: Balakhontseva Hanna , Sieck Juergen
Published: February 2021

This document represents a web-server based application designed for the purpose of exhibits’ recognition in a museum, based on photos made with the help of phone. Image recognition was conducted with the help of SURF[1] algorithm. Server was implemented with the usage of Netty library. Because of the parallel approach used both in the classification part and during the exchange of data between client and server the system is fast and able to decrease time of working by usage of all available cores of hardware.
IMPLEMENTATION OF SYMMETRIC CRYPTOGRAPHY IN EMBEDDED MEASUREMENT SYSTEMS
Authors: Winiecki Wiesław , Bilski Piotr
Published: February 2021

The paper presents the implementation of the symmetric cryptography in the distributed measurement system. Motivation for increasing the security in such systems is presented. Next, fundamentals of cryptography from the measuring systems’ point of view are introduced. The role and structure of embedded systems in modern distributed environments is explained. As the example of presented problems, implementation of the AES algorithm on the Compact RIO module is presented and tested for both efficiency and accuracy. The paper is supplemented with conclusions and future prospects of the approach.
THE HYBRID AGENT MODEL OF BEHAVIORAL TESTING
Authors: Sugak Anna , Martynyuk Oleksandr , Drozd Oleksandr
Published: February 2021

Operation testing and diagnostic tests, applied for distributed information systems, inherit and employ the properties of distribution, autonomy, goal formation and cooperation, natural for the multi-agent systems. This paper presents the behavioral diagnostics agent model, based on the evolutionary organization of component tests in the automata network environment. The model can be used to construct a multi-agent diagnostics system. A hybrid agent model provides a combination of reactive operation testing and deliberative diagnostic tests, based on the deterministic and evolutionary methods of synthesis of behavioral tests. An agent model consists of the component models of allocation environment, functioning goals and strategies, operations of observation, enforcement strategy and adaptation, initial component models, goals and strategies for ensuring the autonomy. Agent intelligence is based on a locally-exhaustive deterministic and pseudorandom targeted evolutionary synthesis of behavioral tests, providing and accumulating the results. Cooperation of the agents involves their deterministic and evolutionary interactions under the conditions of test feasibility and portability.
PROGRAMMABLE PARALLEL FBD SIGMA DELTA ADC RECONSTRUCTION STAGE DESIGN FOR SOFTWARE DEFINED RADIO RECEIVER
Authors: Lahouli Rihab , Ben-Romdhane Manel , Rebai Chiheb , Dallet Dominique
Published: February 2021

Today’s bottleneck of signal processing in multistandard software defined radio (SDR) receiver is the analog-to-digital converter (ADC). Therefore, the authors present in this paper the design and simulation results of a programmable parallel frequency band decomposition (FBD) architecture for ADC. The designed parallel architecture is composed of six parallel branches based on discrete-time (DT) 4th order sigma delta modulators using single-bit quantizers. Each branch processes a sub-bandwidth of the received signal. Only needed branches are selected according to the chosen standard. The parallel sigma delta modulators’ outputs are handled by a demodulation-based digital reconstruction stage in order to provide the FBD sigma delta-based ADC output signal. The digital reconstruction stage differs from one communication standard to another. In this paper, its design is discussed for the UMTS use case. The objective is to propose a digital reconstruction design with optimized complexity. In fact, the authors propose a comparative study between some configurations of demodulation, decimation and filtering processes. Technical choices and simulation results are discussed. For UMTS use case, the proposed FBD sigma delta-based ADC architecture ensures a computed signal-to-noise ratio (SNR) over 74 dB.
INFORMATION STATE OF SYSTEM ESTIMATION
Authors: Ivakhiv Orest
Published: February 2021

As far as the behavior of the object under study is random, it is difficult or even impossible to create an adequate program of its regular maintenance. A better result provides an adaptive servicing algorithm for the needs of current monitoring and control of the object. Nowadays, both different adaptive algorithms and capabilities of a sample group coding are effectively used for this purpose. The demand to the channel capacity regarding the required decrease of the binary digit rate has always been an actual task. Recently, it is observed that the creation of a new system is frequently based on the employment of the entropy measure and permutation encoding. Such applications are known to be used for biometric systems, cryptography, body wireless networks and others. A concrete combination of active source addresses (with significant samples) may be considered as some generalized image of the object under study. It can be used as information for the control function of the next level of the cyber-physical system as well. The paper deals with considering the possibility of the most efficient usage of a transmission channel capacity and receiving of a generalized image of a servicing object state as the entropy estimation of its sensors activities. The estimating operation procedures are also described. The ways of such tasks solving are described and the above mentioned coding procedure is presented.
INVESTIGATION OF CARRIER MOBILITY DEGRADATION EFFECTS ON MOSFET LEAKAGE SIMULATIONS
Authors: Tsague Hippolyte Djonon , Twala Bhekisipho
Published: February 2021

The term carrier mobility generally alludes to both electron and hole mobility in semiconductors. These parameters characterize how quickly an electron and/or hole moves through a metal or semiconductor when under the influence of an electric field. Most studied mobility models only take into account the influence of temperature and doping concentration which provides less accurate but faster simulation and allows preliminary device description adjustments and analysis. However complete models, like Klaassen, Shirahata or some allowed model combination give results that better fit experimental curves. This work focuses on such possibilities and shows that, as carriers are accelerated in an electric field, their velocity will begin to saturate when the electric field magnitude becomes significant. Such effects are observed in low, high and inversion mobility models simulated in strain-Silicon devices. These effects are to be accounted for by reducing of the effective mobility. Furthermore, it is shown that charge carriers in semiconductors are electrons and holes and that, their numbers are controlled by the concentrations of impurity elements, i.e. doping concentration; for that reason doping concentration has great influence on carrier mobility. Carriers are able to flow more quickly in materials with higher mobility; since the speed of an embedded device is limited by the time it takes a carrier to move from one side to the other. Devices composed of materials with higher mobility are able to achieve higher speeds.
MONITORING ANDROID DEVICES BY USING EVENTS AND METADATA
Authors: Schölzel Markus , Eren Evren , Detken Kai-Oliver , Schwenke Leonid
Published: February 2021

Mobile devices such as smartphones and tablet PCs are increasingly used for business purposes. However, the trustworthiness of the operating system and apps is controversial. They can constitute a threat to corporate networks and infrastructures, if they are not audited or monitored. The concept of port-based authentication using IEEE 802.1X restricts access and may provide statistical data about users entering or leaving a network, but it does not consider the threat devices can pose if they have already been authenticated and used. Security information and event management (SIEM) software has to incorporate information about mobile devices during their usage. Those devices have to gather and publish information to make this possible. This can be achieved by using a client on the mobile device, which is proposed here. It collects metadata including information about device specific data, platform or system state, which is sent via multiple supported protocols to a central SIEM component, where the data is analyzed in assessment procedures for threat analysis by using artificial intelligence and rule-sets.
PARTITIONING AND SCHEDULING RESOLUTION PROBLEMS BY BEES MATING STRATEGY IN DRES’ SYSTEMS
Authors: Khadidja Yahyaoui
Published: February 2021

In last years, several approaches have been proposed for solving the Hardware/Software partitioning and scheduling problem in dynamically reconfigurable embedded systems (DRESs), directed by metaheuristic algorithms. Honey Bees Mating Optimization (HBMO) algorithm is one of these advanced methods. It is a nature inspired algorithm which simulates the process of real honey-bees mating. In this work, we propose a variant of the Honey-bee Mating Optimization Algorithm for solving Hardware/software (HW/SW) partitioning and scheduling problems in DRESs. The algorithm is used in a hybrid scheme with other metaheuristic algorithms for successfully solving these problems. More precisely, the proposed algorithm (HBMO_ DRESs) combines a Honey Bees Mating Optimization (HBMO) algorithm, the Tabu Search (TS) and Simulated Annealing (SA)). From an acyclic task graph and a set of Area-Time implementation trade off points for each task, the adopted method performs HW/SW partitioning and scheduling such that the global application execution time is minimized. Comparing the proposed method with Genetic Algorithm and Evolutionary Strategies (ES), the simulation results show that the proposed algorithm has better convergence performance.
BLOCK SYMMETRIC CIPHER WITH RANDOM S-BOXES
Authors: Lisickiy Konstantin , Dolgov Victor , Lisickaya Iryna , Kuznetsova Kateryna
Published: February 2021

This paper describes a new 256-bit block symmetric substitution-permutation cipher, called managed substitution cipher. This is a cipher with single-layer permutated transformations in each cycle. The management of substituted transformations occur by including them in a chain so that the output value of the previous SL transform is fed to the input of the current fortified 32-bit substituted transformation (SL conversion) along with the current value of the input data block through the adder for modulo 2. This enables to activate almost all S-blocks of the second cycle and subsequent cycles and eventually improve the dynamic indicators of the arrival of the cipher to the state of random substitution. The results of the evaluation of randomness indicators and the possibility of using random S-blocks are given. It is shown that such construction of cycled function allows us to use random substitutions without any selection in a cipher without reducing its strength.
ACTOR-CRITIC REINFORCEMENT LEARNING FOR ENERGY OPTIMIZATION IN HYBRID PRODUCTION ENVIRONMENTS
Authors: Schwung Dorothea , Schwung Andreas , Ding Steven X.
Published: February 2021

This paper presents a centralized approach for energy optimization in large scale industrial production systems based on an actor-critic reinforcement learning (ACRL) framework. The objective of the on-line capable self-learning algorithm is the optimization of the energy consumption of a production process while meeting certain manufacturing constraints like a demanded throughput. Our centralized ACRL algorithm works with two artificial neural networks (ANN) for function approximation using Gaussian radial-basis functions (RBF), one for the critic and another for the actor, respectively. This kind of actorcritic design enables the handling of both, a discrete and continuous state and action space, which is essential for hybrid systems where discrete and continuous actuator behavior is combined. The ACRL algorithm is exemplary validated on a dynamic simulation model of a bulk good system for the task of supplying bulk good to a subsequent dosing section while consuming as low energy as possible. The simulation results clearly show the applicability and capability of our machine learning (ML) approach for energy optimization in hybrid production environments.
NUMERICAL MODELING OF MOMENT METHOD FOR ANTENNA SIMULATION
Authors: Hartansky Rene , Maga Dusan , Siroky Peter
Published: February 2021

Paper includes accuracy problems of numerical computing of wire antennas characteristics, specially resistively loaded dipoles - antennas with varying inner impedance. One may find here the modification of Pocklington's equation (numerical computation of resistive dipole) to the form, which allows us to decrease the number of dipole segmentation elements.
TOWARDS DATA MINING TEMPORAL PATTERNS FOR ANOMALY INTRUSION DETECTION SYSTEMS
Authors: Sengupta Sam , Andriamanalimanana Bruno , Card Stuart W. , Kadam Pradnya , Ranwadkar Saket , Das Kaustav , Parikh Sagar
Published: February 2021

A reasonably light-weight host and net-centric Network IDS architecture model is indicated. The model is anomaly based on a state-driven notion of “anomaly”. Therefore, the relevant distribution function need not remain constant; it could migrate from states to states without any a priori warning so long as its residency time at a next steady state is sufficiently long to make valid observations there. Only those intrusion events (basically DOS and DDOS variety) capable of triggering anomalous streams of attacks/response both near and/or far of target monitoring point(s) are considered at the first level of detection. At the next level of detection, the filtered states could be fine-combed in a batch mode to mine unacceptable strings of commands or known attack signatures.
INTERVAL METHODS OF ASSIGNING THE NOMINAL TOLERANCES AND CHOOSING ELEMENTS
Authors: Shilo Galina , Gaponenko Nikolay
Published: February 2021

The procedure of assigning the nominal tolerances is offered. The interval-structure models are used. The influence of exposures is taken into account. The maximum relative volume of tolerances is ensured. The possibility of selecting elements is taken into account.
A SCALABLE INFERENCING SYSTEM FOR CIVILIAN TERRORISM INTELLIGENCE
Authors: Wheeler Thomas J. , Vel Karpagavalli
Published: February 2021

This paper describes an approach to developing a scalable intelligence inferencing system for civilian terrorism intelligence. There is an obvious need for such a system in light of failures in the intelligence community leading to the September 11th attacks. It is intended as a supplement to human intelligence analysis; while intelligence analysts are good at what they do, it’s hard to see what information is important and integrate it. Information and inferences don’t always flow up the chain of command and don’t always get to where they are needed. Automated assistance can aid intelligence analysts, and managers helping to prevent other tragedies from occurring. The work explored an approach to automate (or provide assistance for) information fusion which effectively makes inferences over huge amounts of information and number of events using a scalable architecture. It is based on number of technical thought patterns: (1)evolutionary development of a system; (2)the use of layered inference graphs and tree based interpretations of them; (3) combining top-down with bottom-up inference; (4) and pattern matching with (un)certainty and importance calculations; (5)explanation based user interaction; and (6)using spatio-temporal localization, extrapolation/simulation and parallelism to raise inferencing performance to acceptable levels.
“GREEN” MULTI-LAYERED “SMART” MEMORY MANAGEMENT SYSTEM
Authors: Kot Andriy , Chrisochoides Nikos
Published: February 2021

In this project, we investigate the feasibility of using outdated machines with slow processors for tolerating disk latencies for computation and data intensive parallel adaptive and irregular applications.
INTELLIGENT SOLVING MACHINES ON MODERN PARALLEL ARCHITECTURES
Authors: Koval Valeriy N. , Savyak Volodymyr V.
Published: February 2021

The paper considers the creation of intelligent solving machines and the arrangement of parallel programming in intelligent distributed multiprocessor systems based on them. There are proposed some main concepts. A system is designed for programming in the C+Graph high-level language. The ideology proposed can be considered as an efficient development of structural high-level language interpretation when applied to multi-microprocessor systems. Equipment structure of the basic version of intelligent solving machines is considered and some characteristics are discussed.
TESTING OF MICROPROCESSOR DEVICES ON THE BASIS OF ARTIFICIAL NEURAL NETWORKS WITH CHANGEABLE PARAMETERS
Authors: Lokazyuk Viktor , Cheshun Viktor , Chornenkiy Vitaliy
Published: February 2021

The base principles of a technique of application of 3-layer feedforward fullconnected artificial neural network for execution of adaptive algorithms of testing of digital microprocessor devices are considered. The method of change of weight coefficients and thresholds of artificial neurons in the mode of operation of artificial neural network realized at the hardware level is considered. The application of this method provides implementation of adaptive algorithms of testing of the large complexity with the limited hardware resources of artificial neural network.
A HYBRID ALGORITHM FOR DECISION TREE GENERATION
Authors: Kornienko Yuri , Borisov Arkady
Published: February 2021

The paper discusses the experiments performed with Machine Learning algorithms (ID3, C4.5, Bagged-C4.5, Boosted-C4.5 and Naive Bayes) and an algorithm made on the basis of a combination of genetic algorithms (GA) and ID3. The latter algorithm is implemented as an extension of the MLC++ Library of Stanford University. The behaviour of the algorithm is tested using 24 databases including those with a large number of attributes. It is shown that owing to “hill-climbing” problem solving, the characteristics of the classifier made with the help of the new algorithm became significantly better. The behaviour of the algorithm is examined when constructing pruned classifiers. The ways to improve standard Machine Learning algorithms are suggested.
A NEW HYBRID HEURISTIC TECHNIQUE FOR SOLVING JOB-SHOP SCHEDULING PROBLEM
Authors: Tsai Cheng-Fa , Lin Feng-Cheng
Published: February 2021

This paper proposes a new and efficient hybrid heuristic scheme for solving job-shop scheduling problems (JSP). A new and efficient population initialization and local search concept, based on genetic algorithms, is introduced to search the solution space and to determine the global minimum solution to the JSP problem. Simulated results imply that the proposed novel JSP method (called the PLGA algorithm) outperforms several currently used approaches. This investigation also considers a real-life job-shop scheduling system design, which optimizes the performance of the job-shop scheduling system subject to a required service level. Simulation results demonstrate that the proposed method is very efficient and potentially useful in solving job-shop scheduling problems.
OBJECT TRACKING SYSTEM BY TWO PAN-TILT MOVING CAMERAS AND ARM ROBOT
Authors: Ukida Hiroyuki , Tanimoto Yoshio , Yamamoto Hideki
Published: February 2021

We propose an object tracking system using an arm robot and two pan-tilt cameras. In this study, we use the active search method to detect the object location in images of cameras. Moreover, we estimate the 3D coordinates of this object from detected locations in images using the binocular stereo method. By using 3D object locations, the robot and cameras are rotated toward to the object. To realize the high speed performance, we use the parallel processing by the thread function for the processes of the object detection, the 3D coordinate estimation, the camera control and the robot control. We perform the object tracking experiments and confirm the efficiency of the proposed method.
EVOLUTIONARY DESIGN OF WIND TURBINE BLADES
Authors: Diaz Casas V. , Duro R. J. , Lopez-Pena F.
Published: February 2021

An automatic design environment is implemented for the aerodynamic design of wind turbine blades. This tool involves the integration of evolutionary techniques and a simple, fast, and robust aerodynamic simulator which was developed for the prediction of the performance of any turbine blade produced by the evolutionary process. The aerodynamic simulator is based on blade element theory in which a panel method is combined with an integral boundary layer code to calculate the blade airfoils’ characteristics. In order to reduce computations some simplifications have been applied and the results corrected by means of the application of neural network based approximations. Results of the simulations obtained using this technique, of the application of the automatic design procedure and of the operation of the wind turbines thus obtained are presented.
PROGRESS IN COMPUTATIONAL INTELLIGENCE TO SUPPORT CCTV SURVEILLANCE SYSTEMS
Authors: Davies Anthony C. , Velastin Sergio A.
Published: February 2021

The development and capabilities of closed circuit television surveillance systems in association with distributed computing systems are reviewed, and the applications to various aspects of surveillance are described.
THE EFFECT OF DATA-REUSE TRANSFORMATIONS ON MULTIMEDIA APPLICATIONS FOR APPLICATION SPECIFIC PROCESSORS
Authors: Vassiliadis N. , Chormoviti A. , Kavvadias N. , Nikolaidis S.
Published: February 2021

Multimedia applications are characterized by a high number of data transfers and storage operations. Appropriate transformations can be applied at the algorithmic level to improve crucial implementation characteristics. In this paper, the effect of data-reuse transformations on power consumption and performance of multimedia applications, realized on an Application Specific Instruction set Processor (ASIP), is examined. An ASIP for multimedia applications designed based on a complete methodology is used to evaluate this effect. Results prove the efficiency of the ASIP solution and indicate benefits from the use of the data-reuse transformations in terms of energy consumption and performance. Also, preliminary results from the exploitation of instruction buffering technique to reduce the energy consumption of the ASIP are presented.
INDUSTRIAL APPLICATIONS OF COMPUTATIONAL INTELLIGENCE
Authors: Frayn Colin M.
Published: February 2021

In this paper, I cover in more detail two specific applications where Computational Intelligence systems have been used in industry. In particular, I consider the problems of path optimization through an inhomogeneous road network, and data analysis for financial applications. This paper will deal with several important questions about the applicability of those techniques in real-world scenarios, and will show how some of these issues have been directly addressed in order to create value for our business partners.
SIMULATION MODELING OF INTERPLANETARY SHOCKS ARRIVAL TIME PREDICTION ON HISTORICAL DATA SET
Authors: Turchenko Volodymyr , Demchuk Viktor , Sachenko Anatoly
Published: February 2021

An approach to prediction of the arrival time of interplanetary shocks using neural networks based on the data gathered from single EPAM (Electron, Proton and Alpha Monitor) channel of NASA’s ACE (Advanced Composition Explorer) spacecraft is proposed in this paper. A short description of ACE spacecraft and the data, published online on the appropriate web-site, are considered. A data choice to fulfill a prediction of interplanetary shocks is proven and structure of neural network is described. The results of simulation modeling in MATLAB are considered in the end of the paper.
MULTI DIMENSIONAL DYNAMIC SCENE ANALYSIS USING 3D IMAGE HISTOGRAM AND ENTROPY SEQUENCES ANALYSIS
Authors: Iliev Panayot , Tzvetkov Plamen , Petrov George
Published: February 2021

This paper presents an unconventional approach for motion detection using 3D image histogram sequence analysis. The idea of this approach is to remove the process of motion estimation into the field of 3D image histogram sequences by analysis of their statistical characteristics. A functional and statistical model of a system for motion detection has been created. The experimental results prove that the relationship between statistical characteristics of the 3D image histograms sequences and process of motion estimation is a guarantee for creating a reliable and high precision motion detection system as well as for image compression using 3D entropy functions analysis. Such a system can be used for security control of banks, airports, military objects, embassies, shops etc.
ANALYSIS OF EFFICIENCY THE NUMBER-THEORETIC WALSH TRANSFORM REALIZATION ABOVE THE GALOIS FIELD
Authors: Prevysokova Natalia
Published: February 2021

It is set possibility machine realization the Walsh transform above the Galois fields with presentation of information and implementation arithmetic operations in the Galois code systems. The speed of devices of implementation of arithmetic operations for the Walsh - Galois transformation is analysed. It is set and analyzed complication of it’s apparatus realization in the binary system and in the Galois-code.
COMPARISON BETWEEN HAAR AND DAUBECHIES WAVELET TRANSFORMIONS ON FPGA TECHNOLOGY
Authors: Elfouly Fatma H. , Mahmoud Mohamed I. , Dessouky Moawad I. M. , Deyab Salah
Published: February 2021

Recently, the Field Programmable Gate Array (FPGA) technology offers the potential of designing high performance systems at low cost. The discrete wavelet transform has gained the reputation of being a very effective signal analysis tool for many practical applications. However, due to its computation-intensive nature, current implementation of the transform falls short of meeting real-time processing requirements of most application. The objectives of this paper are implement the Haar and Daubechies wavelets using FPGA technology. In addition, the comparison between the Haar and Daubechies wavelets is investigated. The Bit Error Rat (BER) between the input audio signal and the reconstructed output signal for each wavelet is calculated. It is seen that the BER using Daubechies wavelet techniques is less than Haar wavelet. The design procedure has been explained and designed using the stat-of-art Electronic Design Automation (EDA) tools for system design on FPGA. Simulation, synthesis and implementation on the FPGA target technology has been carried out.
COMPUTER AIDED ARTICULATORY TUTOR: A SCIENTIFIC STUDY
Authors: Rathinavelu Arumugam , Thiagarajan Hemalatha
Published: February 2021

This paper describes the use of Computer Aided Articulation Tutor (CAAT) to conduct phonetic training to the hearing-impaired (HI) children with inner articulators as visual cues. This Articulatory tutor was developed by using Magnetic Resonance Imaging (MRI) and computer graphics techniques. The articulators include the movement of jaw, lips, tongue and velum. Ten hearing impaired (HI) children between the ages 4 and 7 were selected and trained for 10 hours across 4 weeks on 24 words. Intelligibility of HI children was investigated to find out their performance in speech perception and articulation. The post-training results indicated that HI children improved in articulation of speech sounds placed at different contexts. This 3D visual simulation tool helped HI children in perceiving the speech information significantly.
DIGITAL SIGNATURE PROTOCOLS WITH FAST VERIFYING PROCEDURE
Authors: Nelasa Anna , Dolgov Victor , Pogorily Anatolij
Published: February 2021

In this paper the modified algorithms of the individual and collective digital signature on elliptic curves with fast verification for a corporate network are offered.
LOGIC-TEMPORAL FUNCTIONS INTEGRATION IN THE PROCESS OF PROCESSING OF IMAGES
Authors: Kozhemiako V. P. , Sachaniuk-Kavets’ka N. V. , Volontyr L. O.
Published: February 2021

In paper there are discussed problems of integration operation determination and definition of primary logical-time functions, characteristic of binary images integration for eye-processor images processing efficiency increasing and possibility of analog signal transformation into discrete numerical expression.
CENTRALISED DIAGNOSTICS OF ELECTRONIC AND ELECTRIC EQUIPMENT IN VEHICLES, ENGINE LIGHTING EQUIPMENT TESTING
Authors: Ježdík Petr , Novák Jiří
Published: February 2021

Today’s diagnostic systems used in vehicles are based on separate diagnostic subsystems for each electronic or electric device. The basic idea of the project is to develop a centralized diagnostic method to cover most of functional systems. The proposed method would expedite the overall testing time and bring other significant advantages such as savings on test equipment. This paper deals with engine lighting equipment testing technique. The fundamental idea is that both electronic and electric devices in a vehicle have a relationship to communication control busses. Each device can also be described as an electrical consumer with its typical power consumption characteristics. Hence, the proposed diagnostic method is based on investigating transient profile on power lines of a tested device whilst changing its state from off to on. The short time Fourier transform (STFT) processing is then applied to analyze the gained signal. The analysis results evaluate the condition of the engine lighting equipment.
SECURITY ASSESSMENT OF IEEE 802.16 (WIMAX) – A SHORT COMPARISON BETWEEN IEEE 802.16d AND 802.16e
Authors: Eren Evren
Published: February 2021

The importance of IEEE-Standard 802.16 (WiMAX) is growing and will compete with technologies such as UMTS. However, acceptance and adoption of technologies and services also depend on security. Therefore, this article will deal with some of the basic security features of IEEE 802.16d (Fixed WiMAX). It will summarize the most important elements of the security architecture, present some of its weaknesses, potential attacks and viable counter measurements. Furthermore, we will introduce the basic improvements made by the IEEE 802.16e standard (Mobile WiMAX) compared to Fixed WiMAX. This article extends the paper [11] presented at the IDAACS'2007 conference by describing the data encryption mechanisms in IEEE 802.16e in chapter 4.
RESEARCH FOR DISTRIBUTION OF DATA FROM RISK TECHNICAL SYSTEMS
Authors: Petrov Nikolay , Panayotova Galina
Published: February 2021

In control measurements as a result of the inevitable process of aging where the average value of the measured parameters of the risk technical systems are changing uninterrupted. That is defined by the technical impossibility for their complete recovery. As a result the measured parameters are functions of the period of technical exploitation. Because of an analogue processes in the periodical series of control measuring and its root-mean square diversion are also functions of the period of technical exploitation.
IMPROVEMENT OF METROLOGY SOFTWARE TEST IN COMPUTER SYSTEMS OF TEMPERATURE MEASUREMENT
Authors: Vasylkiv Nadiya
Published: February 2021

In this paper the improved metrology software test is described by simulation the growth process of thermocouple thermoelectric heterogeneity acquired in operation conditions. It’s aimed to create the possibilities for the metrological studies of the temperature measuring channel in the computer measurement and control systems as well as a correction of the error caused by the thermocouple thermoelectric heterogeneity.
A DECISION-THEORETIC APPROACH TO MAINTAIN TRUST IN UBIQUITOUS DISPLAYS ENVIRONMENTS
Authors: Kurdyukova Katja , André Elisabeth , Leichtenstern Karin
Published: February 2021

In this paper, we present a decision-theoretic approach to trust management for ubiquitous display environments that assesses the user’s trust in a system, monitors it over time and applies appropriate measurements to maintain trust in critical situations. The approach has been applied to two interactive applications that have been developed as part of a university-wide ubiquitous displays management system. The two applications run on public display located in public rooms at Augsburg University. They can be operated and assisted by mobile phones. In the paper, we define decision policies for the two applications and investigate their impact on relevant trust factors, such as privacy, comfort of use, transparency and controllability.
VISUAL SEARCH FOR CATALOGS, COLLECTIONS AND ARCHIVES
Authors: Burckhardt Daniel , Jürgens Pepe
Published: February 2021

Searching is a necessity. Search should be fun. Catalogs, collections and archives contain large amounts of data ready to search. But the most common presentation of the results in the form of long lists of text seems to be rather repulsive. Various studies have shown that only very few of these results attract the users’ attention. Improving the order of search results is therefore at the center of numerous research projects. Visual search is an alternative approach based on an observation from the pre-digital era that avoids these technical complexities: extensive image libraries – the slides on a light table – allow for easy scanning and ordering of large result sets. Visual search aims to bring this approach to the web. The authors first followed this concept while implementing oSkope, a visual search engine through web services such as Amazon, eBay or YouTube. The key design patterns were suitable for reuse in a number of Rich Internet Applications for collections and product catalogs since realized. By combining an intuitive and fluid navigation with a clear, meaningful and aesthetically pleasing presentation, these applications attract the users’ attention to a larger set of results. Additional information can be displayed on demand. Sophisticated search options allow for an accurate search. The results can be saved for later use or be sent to a friend.
MATERI BAHASA INGGRIS UNTUK KEGIATAN LUAR SEKOLAH PONDOK PESANTREN
Authors: Taufiq Wahyu , Sinduwiatmo Kukuh , Adji Kusuma Kumara
Published: February 2021

Artikel ini membahas kegiatan yang telah dilaksanakan dalam Program Kemitraan Masyarakat di Sekolah Menengah Pertama Muhammadiyah 9 Boarding School Tanggulangin di kabupaten Sidoarjo. Kegiatan tersebut berupa pelatihan dan pendampingan kepada para guru untuk bisa mengembangkan materi Bahasa Inggris dalam berbagai kegiatan di luar jam sekolah. Rangkaiankegiatan dimulai dengan mengindentifikasi kebutuhan dan peluang yang dimiliki oleh sekolah yang berbentuk boarding school atau pondok. Selanjutnya, diadakan pelatihan kepada seluruh guru dengan materi yang berhubungan dengan pengembangan materi Bahasa Inggris untuk kegiatan luar sekolah. Tantangan yang sangat terasa adalah adanya pandemic Covid-19 yang mengakibatkan kegiatan pendampingan harus diganti melalui komunikasi jarak jauh. Oleh karenanya, kegiatan pendampingan dilaksanakan sebagian besar dengan cara online. Sekolah memberikan apresiasi yang baik dalam kegiatan ini, terbukti dengan hadirnya seluruh guru dalam kegiatan pelatihan serta terjalinnya komunikasi yang baik selama pendampingan. Diharapkan melalui kegiatan ini, para guru di sekolah bisa mengembangkan dan menerapkan materi atau bahan ajar yang sesuai dengankebutuhan siswa serta kekhasan sekolah.
Песни свадебного обряда юго-запада Жетысу
Authors: Бердибай Айжан , Бабижан Баглан , Абугазы Мурат
Published: February 2021

Предлагаемая статья посвящена исследованию казахских свадебных обрядовых песен юго-запада Жетысу. Среди жанров казахского обрядового фольклора наибольшей сохранностью характеризуется свадебный цикл, который входит в группу семейно-обрядовых песен. Специалистами старших поколений на протяжении прошлого столетия осуществлялась запись музыкального фольклора преимущественно восточных районов Жетысу. Это определяет актуальность выбранной темы. Цель статьи – рассмотреть семантику образов текстов свадебных песен юго-запада Жетысу и их музыкально-стилевые особенности. В освещении вопроса роли обрядового фольклора в традиции и этапов казахского свадебного ритуала в статье был применен компаративный метод. Рассмотрение устойчивых образов в текстах свадебных песен предопределило применение семантического анализа. Изучение музыкально-поэтической структуры, звукорядов и ритмической организации свадебных песен юго-запада Жетысу было осуществлено на основе структурного подхода. Семантика образов зеркала, дерева, порога в западножетысуйских свадебных песнях объединяет их с аналогичными образами других географических регионов Казахстана и некоторых этнических культур ближнего зарубежья. Ладо-мелодические особенности рассмотренных свадебных жанров указывают на их типологическую общность с аналогичными жанрами преимущественно восточной части региона и Восточного Казахстана. При изучении казахских свадебных песен этномузыковеды обращали большое внимание на этапы проведения свадебного ритуала, обуславливавшие исполнение различных жанров. Экспедиционный материал Б. Бабижан показал, что в связи с исчезновением некоторых этапов традиционной казахской свадьбы в настоящее время в памяти респондентов исследуемого региона сохранились только «сыңсу» и женский «жар-жар». В основном, в их текстах сохранился древнетюркский 7-8-сложный размер стихосложения – «жыр». Западножетысуйские свадебные песни сочинены в двух- или четырехстрочной музыкально-поэтической форме. Представленное исследование было проведено на основе материалов фольклорных экспедиций 2018 и 2019 гг., что позволяет составить объективное представление о современном состоянии обрядового фольклора в изучаемом регионе. Разностороннее рассмотрение свадебных жанров показало их типологические связи с фольклором соседних регионов и областей и дальнейшие пути развития.
Ключевые слова: фольклор, песни, свадьба, обряд, жанр, сынсу, жар-жар, диалект, семантика, структура.
The Study of the Linear Morphometry of Suktel River Basin, Odhisha
Authors:   Department of Geography, Institute of Science, Banaras Hindu University, Varanasi, Patel Ramesh Kumar , Verma Narender ,   Department of Geography, Institute of Science, Banaras Hindu University
Published: February 2021

In the present study, an attempt is made to study the linear morphometry of Suktel River, a tributary of Tel River and its sub basins, that flows through Bolangir District of Odisha. Freely available SRTM Dem (30-meter resolution) has been processed to delineate the streams and the watershed. Its various linear parameters have been delineated using Arc GIS 10.3. The results show that Suktel basin is a sixth-order normal basin having a dendritic drainage pattern. It confirms to Horton's Law of stream number and lacks structural control as implied by its bifurcation ratio that ranges between 3 and 5. It is in the stage of late maturity with the high volume of surface discharge.