bluuebunny/crossref_metadata_2025 huggingface dataset:
Abdominal tuberculosis requiring surgical intervention: A 10-year single-center experience
Authors: Arbab Hana , Khan Nawal , Amanullah Farhana , Samad Lubna
Published: February 2021

Background: Although uncommon in children, abdominal tuberculosis (ATB) can be a life-threatening condition with a subset requiring emergency surgical intervention.  This study aims to determine the presentation, surgical procedures performed, and outcomes in children affected by abdominal tuberculosis.
Methods: A retrospective chart review of all children undergoing surgical intervention for ATB from July 2007 to December 2018 was conducted. Data were analyzed using SPSS version 22.
Results: Of 340 children with a diagnosis of ATB seen at the Indus Hospital’s TB clinic, 14 (4%) underwent laparotomy. Females were affected more commonly (57%), with a mean age at presentation of 11 years (range 8-14). Nine children required laparotomy for documented perforation, while 5 had an intestinal obstruction. Most children (n=10) had an established diagnosis of ATB before the surgical intervention; 2 children had completed 6–9 months anti-tuberculous treatment (ATT) courses, while 8 children had been on ATT for a mean period of 2.5 months at the time of developing acute surgical symptoms.  Diversion ileostomy was made in 64%.  Postoperative complications included sepsis (n=4), wound infection (n=3), abdominal collection (n=2), enterocutaneous fistula (n=2), and abdominal wound dehiscence requiring formal closure (n=2). There were 4 mortalities (29%); 10 patients were discharged after a median in-hospital stay of 12 days (range 6-35) of which 6 with ileostomies underwent reversal after completion of the ATT course.
Conclusion: ATB has high morbidity and mortality. Perforation and obstruction can occur during or after the completion of ATT.  Management requires early recognition and surgical intervention as indicated.
F-C Tutorial App
Authors: Tholibon Duratul Ain , Bachok Mohd Fairuz , Nazaruddin Ainamardia , Othman Zulhafizal , Othman Zadariana Jamil@
Published: February 2021

Mobile application technology has been widely used in various fields, including education, because it is software in mobile phones owned by anyone. Besides, it easy to use anywhere and anytime. Therefore, by applying the app's merits, the Fast and Correct Tutorial App (F-C Tutorial App) is developed using this technology as a platform. The F-C Tutorial App is a weekly tutorial whereby every weekend of the lecture weeks, students can download a few questions via the app, and then the answers that had been calculated need to be filled up in the app. A survey was conducted on the target group, and the survey questions were divided into three sections: the respondent background, the agreement of F-C Tutorial App can enhance student intrapersonal skills, and the F-C Tutorial agreement App is a user-friendly tool. The group of lecturers who develop this app believes that ongoing training that can easily access and accompanied by competition for rewards is an active learning approach that can motivate students to develop their cognitive and affective skills. Besides, the rules that need to be followed to ensure the F-C Tutorial App can be easier to use and positively impact.
Relevance of Electronic Resources and Improvement of Access for Effective Distance Learning and Continuing Education Programme
Authors: Anyim Wisdom O.
Published: February 2021

This paper investigates the relevance of electronic resources and improved access for effective distance learning and continuing education. The descriptive survey design was adopted for the study. The total population of the study comprises 7,125 registered students of the National Open University of Nigeria. A convenience sampling technique was used to select a sample size of 379 respondents. Structured questionnaires were distributed to the respondents through a research assistant, and only 320 valid responses were returned and used for the study. The study used frequency counts and percentages as statistical measures for data analysis. Findings revealed that students access e-resources regularly. Electronic resources were also relevant as they provide students with up-to-date information, complete information from different sources, speedy and easy access to information, and more. Access to electronic resources can be improved through the following means: provision of useful Internet/server to enhance the accessibility of e-resources, online user guideline for accessing e-resources, creation of user-friendly interfaces for easy access to online contents. It was recommended that audio and video conference chats be made available to students to connect librarians for assistance when the need arises; compulsory user-education and orientation program should also be conducted for students on the use of electronic resources.
Policy Analysis of Teacher Professional Improvement in YPPSB Elementary School
Authors: Sismanto Sismanto
Published: February 2021

The purpose of the research was to identify policy formulation, policy implementation, policy environment, and performance professional improvement of teachers in the elementary school of YPPSB. This policy research used a qualitative approach. The data of this research was collected by in-depth interviews, observation, documentation study. Analysis of data using a technique of organizing data, coding, verification, and conclusions). This research's findings are as follows: (1) policy of the teacher professional improvement of SD YPPSB - PT. Kaltim Prima Coal follows a Top-down approach and bottom-up approach model of formulation policy, (2) the implementation of teacher professional improvement policy successfully conducted to its vision, mission, and goal; (a) recruitment of qualification teachers, (b) Conducting and includes teachers in the education and training, (c) professionalization of teachers through KKG and MGMP, (d) facilitating teachers to continue their studies S2, (e) educational supervision, ( f) course intensification, (g) weekly meeting, (h) reward, and (i) allowance. Policy recommendations that can be given are as follows, (1) Principal of SD YPPSB needs to increase teachers' professional development, primarily through forms of training, (2) the Education Department to develop comprehensive education, especially for private schools, and (3) The Government continually strive to find alternatives to increase the professionalism of teachers.
KLASİK TALEP TAHMİN YÖNTEMLERİ İLE BULANIK ZAMAN SERİLERİ YÖNTEMLERİNİN BÜYÜK ÖLÇEKLİ YAPI SEKTÖRÜNDE UYGULAMASI
Authors: YILDIZ Ramazan
Published: February 2021

Talep tahmini tedarik zinciri yönetiminin birçok aşamalarında kullanıldığından güncelliğini korumaya devam etmektedir. Talep tahmini, işletmelerin maliyetlerini ve karlılıklarını doğrudan etkiledikleri için, geçmişten günümüze bilimsel araştırmalar yapılmaktadır. Birçok talep tahmin yöntemleri olmasına rağmen, bu yöntemlerin o işletme koşullarına göre en iyi olanın belirlenmesi gerekmektedir. Bu çalışmanın amacı; yapı sektöründe faaliyet gösteren büyük ölçekli bir işletmenin envanterler yönetiminde, hangi talep tahmin yöntemi veya yöntemlerinin daha uygun olabileceğinin belirlemesi çalışmalarıdır. İşletmenin geçmişteki kayıtlı verileri alınarak; trend analizi, basit üstel düzeltme, çift üstel düzeltme, çarpımsal winters ve toplamsal winters yöntemleri ve ayrıca bulanık zaman serisi yöntemi kullanılarak talep tahmin analizleri yapılmıştır. Hesaplamanın doğru sonuca ulaşılması için hata analizleri yapılmıştır. Bulunan sonuçlar kıyaslandığında işletme için en uygun talep tahmin yöntemi, en düşük ortalama mutlak yüzde hata değerine (%3,6) sahip olan Toplamsal Holt-Winters yöntemidir.
THE ILLICIT BUSINESS OF SEX, LABOR, AND ORGANS, AND LAWS ADDRESSING TO IT: A STUDY ON HUMAN TRAFFICKING IN INDIA
Authors: MAHMOOD Faisal , AHMED Wassem
Published: February 2021

Human trafficking is a global evil that snatches freedom from millions of people worldwide to make money. It is a multi-billion-dollar industry affecting the lives of vulnerable – such as women, children, and the poor. Human trafficking, in its various ways, affects almost every country of the world, said the United Nations; and India is not an exception to it. Despite having rich legislation to combat the problem, human trafficking remains a significant issue in India.
This paper is a study about the potential purposes of human trafficking with a detailed discussion on anti-human trafficking laws in India. While addressing the causes of failure of these laws at implementation level, some suggestions has also been provided in concluding part of the paper
COVID-19 PANDEMİ SÜRECİNDE KAHVE TÜKETİM ALIŞKANLIKLARININ EVSEL DÖNÜŞÜMÜ
Authors: KORKMAZ Müesser , BAŞARAN Güliz
Published: February 2021

Bu çalışmada kahve severlerin Covid-19 pandemi sürecinde kahve tüketim alışkanlıklarında meydana gelen değişikliklerin belirlenmesi amaçlanmıştır. Bu amaçla çalışmada Google Forms aracılığıyla pandemi sürecinde kahve tüketim alışkanlıklarını evde sürdürmeye çalışan toplam 42 katılımcıya ulaşılmıştır. Araştırmadan elde edilen verilerin analizinde “sözcük sıklık analizi ve betimsel analiz” kullanılmıştır. Çalışma sonucunda katılımcıların pandemi sürecinde kahve tüketim miktarında belirgin bir artış meydana geldiği, ev koşullarında kahve tüketimine ilişkin birtakım sorunlar ile karşılaştıkları ve 1 Haziran tarihinde başlayan normalleşme döneminde dışarıda kahve tüketimine yönelik tedbirle hareket ettikleri sonucuna ulaşılmıştır. Çalışmada ayrıca pandemi sürecinde katılımcıların ev koşullarında en fazla “filtre kahve, Türk kahvesi ve cold brew” tükettikleri belirlenmiştir.
The conceptual underpinnings of secured transactions and the reform of personal property security laws
Authors: Esangbedo Gregory
Published: February 2021

Law reforms typically epitomise the need to effect positive change. The reform of personal property security laws which has attained increased prominence amongst common-law states in recent years is by no means different. However, there appear to be mixed views about the exact impact of these reforms including whether and to what extent they achieve their stated objectives. This article explores the connection between the reforms of personal property security law and the conceptual underpinnings of secured transactions in order to ascertain the extent to which such reforms actually reflect such underpinnings as a preliminary step in evaluating their impact on society.
ANALISIS KONSEP PRODUKSI PERSPEKTIF EKONOMI SYARIAH
Authors: Urif Usman Zainuddin
Published: February 2021

Penelitian ini bertujuan untuk mengetahui  dan memahami  konsep produksi perspektif ekonomi Syariah. Penelitian kepustakaan ini  (Library Research) menggunakan pendekatan kombinasi antara pendekatan filosofis dan fenomenologis.Pendekatan filosofis untuk melihat secara mendalam tentang objek material filsafat yang meliputi nilai, prinsip, tujuan ekonomi Syariah dan konsep produksi dalam ekonomi syariah. Pendekatan fenomenologis untuk melihat sistem dan proses  produksi melalui data-data statistik, atau yang tertuang dalam suatu karya kepustakaan seperti buku-buku, dekumen,karya ilmiyah dan hasil penelitian. Hasil yang diperoleh dalam penelitian ini bahwa tujuan sistem ekonomi Islam adalah menyejahterakan masyarakat, mewujudkan maqasid as syariah, dan menjunjung tinggi nilai keadilan. Konsep produksi  dalam sistem ekonomi syariah bahwa aktivitas produksi harus mengutamakan kebutuhan pokok (dharuriyyah) manusia. Produksi kebutuhan pokok ( dharuriyyah) suatu  kewajiban sosial ( fardh al- kifayah), yaitu kebutuhan bagi banyak orang  pemenuhannya bersifat wajib.
USING A LOOK-UP TABLE FOR CODE EXECUTION IN SMALL MICROCONTROLLERS SYSTEM WITH DASH MEMORY
Authors: Kosmatopoulos C. , Tsagourias N.
Published: February 2021

An innovative method of code size reduction, in applications which use a small microcontroller with dash memory, is presented in this paper. Code size reduction is of major importance in this type of microcomputer systems, because of the limited available resources. By the proposed method, certain decision structures, which are relevant to the current state of the system, are replaced with a lookup table and a simple calculation algorithm. A detailed description of this approach is presented in this work.
ІНТЕРАКТИВНИЙ ПРОГРАМНИЙ ЗАСІБ ВІЗУАЛІЗАЦІЇ ДАНИХ
Authors: Kolodnytsky Mykola , Ковальчук Андрій
Published: February 2021

В даній роботі представлено короткий огляд існуючих програмних засобів в ізуалізації даних, розглянуто певні особливості програм даного виду. Представ лено інтерактивний та адаптивний інтерфейс користувача для програмного інструментального засобу візуалізації наукових даних. Запропонований до розгляду засіб був спроектований та розроблений авторами та має назву “Graph Server”. Представлено приклади інтерфейсу та деякі приклади 2D та 3D візуалізації.
SCHEDULING OF EXAMINATION TERMS BASED ON PAST EXPERIENCE
Authors: Kalpic Damir , Vanjak Zvonimir , Baranovic Mirta
Published: February 2021

A faculty with few thousand students, two studies and few hundred subjects faced the problem of how to devise the examination schedule. The aim of the examination schedule is to maximally disperse the examination terms as perceived by the students. Mixed­integer model turned out to be too complex and therefore genetic algorithm was applied. The achieved results were satisfactory enough to be accepted in the current academic year.
CONCEPT AND REALISATION OF AUTOMATED ROOM CLIMATE CONTROL
Authors: Jelondz D. , Spasokukotskiy K. , Trankler H.-R.
Published: February 2021

The paper deals with technical problems of automated decentralised indoor climate control in residential buildings. The lead value for the realisation of the control system is the objective thermal comfort. The measurement system to be designed works as a network between a large variety of different sensors and actuators. A comprehensive and flexible EIB networked instrumentation using cheap commercial and prototype sensors and actuators has been created and tested in a realistic test environment. In the paper, the conditions for a modern room climate control are discussed and the technical base for data acquisition system containing several different data collection channels is presented. Extensive measurements with the reliable, fully redundant data acquisition system showed its applicability in residential buildings. Based on the presented concept, different systems configurations can be realised. Following the results, a low­cost decentralised automated room climate control system is able to become a new standard in low­energy buildings, opening a huge market potential.
DEVELOPMENT OF A STAND ALONE MONITORING SYSTEM (S.A.MO.S.)
Authors: Kosmatopoulos C. , Tsagourias N.
Published: February 2021

Environmental monitoring is nowadays a common instrumentation application, not only in cases where scientific information is needed, but also for pollution control and development planning of certain sensitive areas. This paper describes the development of a Stand Alone Monitoring System (S.A.MO.S.) which is actually a complete monitoring station for environmental measurements in rivers, lakes, lagoons and other sensitive eco­systems. S.A.MO.S. is capable of performing scheduled measurements by sensors or other independent electronic measuring instruments, and stores data locally in a memory module. Measurement data may then be transferred to a PC computing system for further analysis either by using cellular phone network or via a UHF transceiver. Validation of measurements is achieved by system’s self check control and warning signals can be sent to authorized personnel in case of errors. The basic features and the configuration of this system are presented in this work.
MEASUREMENT OF SCI PATIENT’S BUTTOCK PRESSURE ON WHEELCHAIR AND BED
Authors: Tanimoto Yoshio , Takechi Hirosuke , Tokuhiro Akihiro , Takechi Hideo , Yamamoto Hideki
Published: February 2021

The prevention of the pressure sore is a serious problem for patients with spinal cord injuries (SCI). It is the most important for SCI patients to relieve the buttock pressure for prevention of pressure sore. Many kinds of pressure­relieving cushions and mattress have been developed to distribute the weight evenly and widely. We previously measured the buttock pressure of SCI patients using Tekscan pressure measurement system to evaluate the pressure distribution. In this study, we propose the evaluating system of the buttock pressure distribution. Using this system, the medical staffs can easily adjust the air quantity of the air cushion for each SCI patient for prevention of the pressure sores. Moreover we measured the buttock pressure in four kinds of posture on the bed to indicate the pressure relieving effect of the mattress. The air mattress has a high pressure relieving effect at the sacro­coccygeal regions in all postures on the bed.
ПРОБЛЕМИ ОПЕРАТИВНОГО АНАЛІЗУ В ГІПЕРВЕЛИКИХ БАНКІВСЬКИХ СУБД
Authors: Ріппа Сергій , Смолій Яків
Published: February 2021

дана праця представляє підходи до конструювання систем оперативного аналізу в банківській галузі на основі надвеликих систем управління базами даних (НВСУБД). Розглядається теоретичний і практичний аспект моделювання сховищ даних у фінансовому обліку зі сторони специфіки. Пропонуються методи комбінування концептуальних та релятивних моделей баз даних (БД) в технологіях оперативного аналізу створення сховищ даних (СД) та баз знань.
SIMULTANEOUS TOPOLOGICAL CATEGORICAL DATA CLUSTERING AND CLUSTER CHARACTERIZATION
Authors: Labiod Lazhar , Nistor Grozavu Nistor , Bennani Younès
Published: February 2021

In this paper we propose a new automatic learning model which allows the simultaneously topological clustering and feature selection for quantitative datasets. We explore a new topological organization algorithm for categorical data clustering and visualization named RTC (Relational Topological Clustering). Generally, it is more difficult to perform clustering on categorical data than on numerical data due to the absence of the ordered property in the data. The proposed approach is based on the self-organization principle of the Kohonen’s model and uses the Relational Analysis formalism by optimizing a cost function defined as a modified Condorcet criterion. We propose an iterative algorithm, which deals linearly with large datasets, provides a natural clusters identification and allows a visualization of the clustering result on a two dimensional grid. Thereafter, the statistical ScreeTest is used to detect relevant and correlated features (or modalities) for each prototype. This test allows to detect the most important variables in an automatic way without setting any parameters. The proposed approach was validated on variant real datasets and the experimental results show the effectiveness of the proposed procedure.
NEW APPROACH TOWARDS EFFICIENT BIOMETRIC SYSTEMS
Authors: Kant Chander
Published: February 2021

Fingerprints possess two main types of features that are used for automatic fingerprint identification and verification: (i) Ridge and Furrow structure that forms a special pattern in the central region of the fingerprint and (ii) Minutiae details associated with the local ridge and furrow structure. In a traditional biometric recognition system, the biometric template is usually stored on a central server during enrollment. The candidate biometric template captured by the biometric device is sent to the server where the processing and matching steps are performed. The proposed work presents an approach to the processing time during fingerprint matching process in a Biometric System. The proposed work is based upon four major classifications of fingerprint, whorl, arch, left-loop and right-loop and is more efficient as compared with the existing system.
COMBINED APPROACH FOR FACE FRONTAL VIEW ESTIMATION FOR REAL TIME FACES DETECTION IN MULTICAMERA SYSTEM
Authors: Lamovsky Denis V. , Sadykhov Rauf Kh. , Kharlanov Vadim A. , Kirienko Alexandr S.
Published: February 2021

This paper presents the combined approach for face frontal view estimation from video sequences in a multiview camera setup. This task is important for person identification by face image in video surveillance systems. Face tracking algorithm was developed based on optical flow and cascade face detector. We also found way to estimate quality of face detection. This quality is used as base for best frontal view estimation.
DISCRETE DYNAMICAL MACROMODELS AND THEIR USAGE IN ELECTRICAL ENGINEERING
Authors: Stakhiv Petro , Kozak Yuriy
Published: February 2021

An optimization approach intended for construction of macromodels of dynamic objects especially for electrotechnical systems is proposed in the paper. This approach is efficient because of its universality. A set of techniques to simplify optimization task needed for the identification of macromodels is considered. The specifics of the use of the mentioned approach for the creation of models for autonomous objects and prediction of dynamic processes are described. The test example of the macromodel construction for two-winding transformer using the considered approach is presented.
GRID-DL – SEMANTIC GRID INFORMATION SERVICE
Authors: Pospishniy Oleksandr , Stirenko Sergiy
Published: February 2021

The effectiveness of complex Grid systems strongly depends on the availability, accuracy and relevance of information on all connected resources, their characteristics and state. An access to this information plays a very im- portant role in any Grid system, providing necessary information for other Grid components and users. We believe that application of semantic technologies can improve Grid utilization and enhance user interaction with the system. We present our vision of the semantic Grid resource information service.
REDUCING RADIO BANDWIDTH LOAD IN NANOLOC-BASED WIRELESS NETWORKS THROUGH SELECTING APPROPRIATE SUBSET OF BASE STATIONS FOR RANGING
Authors: Galov Alexander S. , Moschevikin Alex P. , Soloviev Alexei V.
Published: February 2021

In wireless sensor networks based on nanoLOCTM standard and using server-centric control, the overall performance of radio segment and location accuracy depends amongst other on the efficiency of the location engine. The efficiency may be increased by selecting an appropriate subset of base stations for ranging. This paper describes the experiments dealing with this problem, and discusses the ways of saving radio bandwidth.
MULTI-AGENT PARALLEL IMPLEMENTATION OF PHOTOMASK SIMULATION IN PHOTOLITHOGRAPHY
Authors: Avakaw Syarhei M. , Doudkin Alexander A. , Inyutin Alexander V. , Otwagin Aleksey V. , Rusetsky Vladislav A.
Published: February 2021

A framework for paralleling aerial image simulation in photolithography is proposed. Initial data for the simulation representing photomask are considered as a data stream that is processed by a multi-agent computing system. A parallel image processing is based on a graph model of a parallel algorithm. The algorithm is constructed from individual computing operations in a special visual editor. Then the visual representation is converted into XML, which is interpreted by the multi-agent system based on MPI. The system performs run- time dynamic optimization of calculations using an algorithm of virtual associative network. The proposed framework gives a possibility to design and analyze parallel algorithms and to adapt them to architecture of the computing cluster.
ON CHIP MEMORY REDUCTION TECHNIQUE FOR DATA DOMINATED EMBEDDED SYSTEMS
Authors: Chepure Srilatha , Rao Guru C.V. , Benakop Prabhu G.
Published: February 2021

This paper proposes an approach for optimization of on-chip memory size in data dominated embedded systems. Large amount of array processing is being involved in this category. In order to produce a cost effective system, efficient designing of memory module is quite critical. The memory module configuration being selected by the designer should be well suitable for the application. In this regard, this paper presents a methodology for effective optimization of on-chip memory. For sensitive applications involving large array processing, the entire processing has to be done using embedded modules. While using such module s, care should be taken to meet optimized profile for the design metrics. With help of loop transformation technique, relatively a good amount of memory size requirement is reduced for the arrays. This approach results in a very close memory estimate and an effective optimization. This methodology can be further extended to meet the high level memory optimization applications based on cache characteristics. Speech processing front end mechanism is implemented and shows that this approach gives up to an achievement 61.3% reduction of overall system memory requirement over the estimation approach. Results are provided in terms of comparison of the two approaches of memory estimation and optimization with respect to both of the program and data segments.
STRUCTURAL SYNTHESIS OF DYNAMIC INFORMATION SYSTEMS
Authors: Antoschuk Svetlana , Maevsky Dmitry
Published: February 2021

Theoretical bases are considered and the method of synthesis of the dynamic information systems structure is created with a capacity for adaptation at the changes of a subject domain. A capacity for adaptation is provided due to the selection of a variation part of algorithms of the system that changing at the changing the subject domain. The variation part of algorithms is kept in the database of the system that provides their rapid replacement and promotes a fail safety on the stage of exploitation.
SPIN MODEL OF FULL SUMMATOR ON PERES GATES
Authors: Deibuk Vitaliy , Yuriychuk Ivan , Yuriychuk Roman
Published: February 2021

Four-spin model of single-digit summator for solid state nuclear magnetic resonance (NMR) quantum computer is proposed. Correctness of summator’s operation is analyzed in dependence of system parameters. It is found that the summator on Peres gates works correctly in time of four π-pulses on pure numerical and superposition states. Optimal values for exchange in teractions and maximum distance between q- bits necessary for correct summator’s operation are obtained from the analysis of fidelity function.
SYNTHESIS OF MODULAR-STRUCTURED SYSTEMS FOR AUTOMATIZATION OF DECISION-MAKING PROCESSES IN TRANSPORT LOGISTICS
Authors: Kondratenko Yuriy , Encheva Sylvia , Sidenko Ievgen
Published: February 2021

The ranging analysis of transport logistics problems and decision-making methods were held in the paper. The problems, which are represented as subsystems of DSS (Decision Support System) module type, were considered. One of which, in particular, evaluation of the quality of transport services to select cargo shipping company, was considered in details.
INTERACTION BETWEEN LEARNING AND EVOLUTION IN POPULATIONS OF AUTONOMOUS AGENTS
Authors: Red’ko Vladimir G.
Published: February 2021

The model of interaction between learning and evolution for the evolving population of modeled organisms is designed and investigated. The mechanism of genetic assimilation of the acquired features during the numerous generations of Darwinian evolution is studied. The mechanism of influence of the learning load is analyzed. It is showed that the learning load leads to a significant acceleration of an evolution. The hiding effect is also studied. This effect means that a strong learning inhibits the evolutionary search in some situations.
ПРОПУСКНА СПРОМОЖНІСТЬ ТРАНСПОРТНОГО РІВНЯ БЕЗПРОВІДНИХ ЛОКАЛЬНИХ МЕРЕЖ IEEE 802.11g ЩО ФУНКЦІОНУЮТЬ В ІНФРАСТРУКТУРНОМУ РЕЖИМІ
Authors: Чернега Віктор
Published: February 2021

Детально проаналізована процедура обміну кадрами між клієнтськими комп'ютерами і точкою доступу безпровідної локальної комп'ютерної мережі стандарту 802.11g і отримані вирази, що дозволяють розрахувати потенційну пропускну спроможність такої мережі.
ИНТЕЛЛЕКТУАЛЬНЫЙ АНАЛИЗ ДАННЫХ ДЛЯ ВЫЯВЛЕНИЯ ВРЕДОНОСНЫХ ПРОГРАММ
Authors: Комашинский Дмитрий , Котенко Игорь
Published: February 2021

в статье проводится обзор наиболее значимых работ в области создания систем обнаружения и идентификации вредоносных программ на основе методов интеллектуального анализа данных. Для формализации этого процесса используются элементы методологии SADT, обобщающие основные процедурные аспекты существующих работ, посвященных данной предметной области. Выделяются основные группы сущностей, используемых для формирования типовых методик об наружения вредоносных программ на основе данной группы методов
FRACTAL APPROACH TO FORMING OF MODIFIED BIFURCATION DIAGRAMS IN PRACTICAL APPLICATIONS
Authors: Kolokolov, Yury , Monovskaya Anna
Published: February 2021

The points connected with both improving the methods based on the use of the bifurcation analysis and opening new possibilities to use the bifurcation analysis in practical applications are discussed in the paper. So, the fractal approach to form modified bifurcation diagrams is developed. Th e approach is directed towards extending knowledge about the nonlinear dynamics state-of-the-art by means of the growth in the capacity and adequacy of information about nonlinear dynamics regularities and uncertain ties. In particular, it is summarized the peculiarities of the fractal approach; it is signed the main ways to practical applications of the fractal approach – forecasting nonlinear dynamics, estimating the stability margin and risk.
OBJECTS IMAGES ALIGNMENT WITH THE USE OF GENETIC AND GRADIENT ALGORITHMS
Authors: Balovsyak Sergiy , Fodchuk Igor
Published: February 2021

The given paper presents a hybrid method which is a combination of genetic and gradient algorithms used for the comparison of digital images of an object. Aligning the images, their basic transformations are taken into account, namely shift and scale in a width and height, angle, changes in intensity and contrast. The software for image alignment of objects has been created using Delphi environment. The program utilizes modified genetic algorithms where the chromosomes are the vectors of real numbers. The methods of roulette, rank and tournament selection are used for chromosome selection. After the use of the genetic algorithm the object images were compared by the method of coordinate descent that provides an accuracy improvement of image alignment. The efficiency of different methods of chromosome selection in the genetic algorithm for images alignment is researched. The size of chromosome population as well as other parameters of genetic algorithm have been optimized.
PASSWORD PROTECTION: END USER SECURITY BEHAVIOR
Authors: Kato Keisuke , Klyuev Vitaly
Published: February 2021

Password authentication is one of essential services in our life for protecting data. In other words, we may loose a lot of money, sensitive data, etc., if passwords leak out. Thus, we have to understand clearly what is important for creating and/or changing passwords. Our goal is to analyze key issues for setting passwords. We surveyed 262 students of the University of Aizu, Japan. We discussed key security problems, main password protection issues and techniques, and misunderstandings about passwords by end users. Furthermore, we compared the obtained data with results provided by the National Institute of Standard Technology (NIST) and others. The results can help the users set stronger passwords.
COGNITIVE SYSTEM OF THE HEPATORENAL SYNDROME SCREENING IN PERSONS WITH ALCOHOL ABUSE
Authors: Lagunov Alexey , Lagunova Darina , Berdennikova Irina
Published: February 2021

Increase in alcohol consumption is observed in all countries of the world. Over the past 20 years, consumption of alcohol correlated with the level of mortality from liver cirrhosis. Under the hepatorenal syndrome understand the primary lesion of the liver with subsequent involvement in the painful process of kidney tissue. In order to detection of hepatorenal syndrome in medical practice screening laboratory markers carried out manually. Introduction of medical information system can significantly improve the process of detecting disease in patients. The authors were unable to find an analogue of medical information system for the purpose of screening for hepatorenal syndrome. Analysis of the process of screening laboratory markers of hepatorenal syndrome allowed to create a client-server intelligent information system based on the Java SE platform using the management system database Firebird. Tests were carried out Arkhangelsk City Clinical Hospital № 1. Testing has shown that the time of diagnosis was reduced in comparison with traditional methods at 69%, with fewer specialists, while job satisfaction of physicians increased by 23%. Diagnostic accuracy hepatorenal syndrome is not dependent on the method of diagnosis. Testing program showed that the data that gives our program coincide with those of health professionals.
THE INSTANCE SELECTION METHOD FOR NEURO-FUZZY MODEL SYNTHESIS
Authors: Subbotin Sergey A.
Published: February 2021

The problem of automation of neuro-fuzzy model synthesis on instance set is addressed. The method of instance selection for neuro-fuzzy model synthesis is proposed. It allows reducing the sample size, and decreasing the requirements to computer resources. The method also performs transformation of the original multi-dimensional coordinate set to the one-dimensional axis, which is also discretized to improve the data generalization properties. The software implementing proposed method is developed. The experiments were conducted to study the proposed method at the real problem solution. The results of experiments allow recommending proposed method for usage at practice.
A DEEPER INSIGHT IN SOME EFFECTS IN PROJECT RISK MANAGEMENT
Authors: Tysiak Wolfgang
Published: February 2021

This document shows a possible way how to deal with insecurities in the time schedule of a project plan. It shows that Program Evaluation and Review Technique (PERT), the most popular approach to handle this, bears some severe disadvantages. Furthermore it offers an alternative to overcome them by using Monte Carlo simulation. Finally it can be claimed that a complete change of paradigm is necessary: If you have any insecurities as inputs, everything becomes insecure. This might on the first sight convey the impression that the whole situation converts more complex, but we should rather accept this as the opportunity to apply all the well-known instruments from statistics.
MANAGEMENT OF PROJECTS FOR ORGANIZATION DEVELOPMENT ON THE BASIS OF ENTREPRENEURSHIP
Authors: Bushuyev Sergey D. , Ozdoyev Magomed Zh.
Published: February 2021

The success of organization development projects depends on the competence of organizations in managing of its projects and entrepreneurship that is formed by the leadership of the organization which support progress towards successful completion of the projects. Entrepreneurial energy is generated and reproduced through internal and external sources. Set of entrepreneurial energy sources mathematically modelled by means of a set equipped with additional mathematical structures (metrics, topology, etc.). The studies is formulated as a project management for the development of organizations through the creation and reproduction of entrepreneurial energy of the parties concerned under operational and project activities of the organization in order to build effective mechanisms for the development of the organization. System model of development projects in a general approach to the use of business energy that will include absolutely heterogeneous concept reflecting energy sources. The structure of entrepreneurial energy is multidimensional. The main factors that shape the classification system of entrepreneurial energy are: types of entrepreneurial energy, sources and types of energy carriers, catalysts and inhibitors of the application of entrepreneurial energy in development projects, as well as indicators of the impact of the projects context.
IMPACT OF CONFORMITY, COMMITMENT AND MANAGEMENT STYLE ON AN INFORMATION SYSTEM PROJECT
Authors: Hussein Bassam A. , Hafseld Kristin H.
Published: February 2021

This paper studies the impact of organizational influences on the development of a major information system project at a governmental organization in Norway. The results suggest that strong conformity pressure and weak affective organizational commitment among end users, in addition to the lack of project management competence in the organization were contributing factors that led to complications, overspending, delays, and reworks. The findings also indicate that a combination of an authoritarian style and resistance to change have impacted on the organization ability to effectively involve, prepare and commit end-users to the project and to the changes it will create in the organization. In addition to these cultural factors, there was also lack of top management support, which has directly impacted the organization’s ability to provide support and resources.
EMULATING THE FUNCTIONALITY OF RODENTS’ NEUROBIOLOGICAL NAVIGATION AND SPATIAL COGNITION CELLS IN A MOBILE ROBOT
Authors: Zeno Peter J.
Published: February 2021

A unique roving robot navigational system is presented here, which is inspired by rats’ navigational and spatial awareness brain cells. Rodents, as well as all mammalians, are capable of exploring their surroundings when foraging or avoiding predators, and remembering their way home or to the closest known shelter through path integration. This is true for other creatures, but the neural cells involved in accomplishing these tasks have been most notably studied in rats, as they share certain similarities with a human’s brain. The robot built in this study, named ratbot, uses characteristics and interpreted functionalities of the specialized navigational and spatial cognition brain cells, which are primarily found in the hippocampus and entorhinal cortex. These cells are the: place cells, head direction cells, boundary cells, and grid cells, as well as memory used for the storage and access of salient distal cues. Similar to a rat, the ratbot uses path integration to navigate from one waypoint to another. This is accomplished through use of vectors and vector mathematics. Additionally, the ratbot uses a field programmable gate array (FPGA) to emulate grid cell inspired functionality for environment mapping and spatial cognition.
VIDEO COPY DETECTION UTILIZING THE LOG-POLAR TRANSFORMATION
Authors: Reynolds Daniel , Messner Richard A.
Published: February 2021

Video copy detection is the process of comparing and analyzing videos to extract a measure of their similarity in order to determine if they are copies, modified versions, or completely different videos. With video frame sizes increasing rapidly, it is important to allow for a data reduction process to take place in order to achieve fast video comparisons. Further, detecting video streaming and storage of legal and illegal video data necessitates the fast and efficient implementation of video copy detection algorithms. In this paper some commonly used algorithms for video copy detection are implemented with the Log-Polar transformation being used as a pre-processing step to reduce the frame size prior to signature calculation. Two global based algorithms were chosen to validate the use of Log-Polar as an acceptable data reduction stage. The results of this research demonstrate that the addition of this pre-processing step significantly reduces the computation time of the overall video copy detection process while not significantly affecting the detection accuracy of the algorithm used for the detection process.
INTEGRATION OF HARDWARE SECURITY MODULES INTO A DEEPLY EMBEDDED TLS STACK
Authors: Kehret Oliver , Walz Andreas , Sikora Axel
Published: February 2021

The Transport Layer Security (TLS) protocol is a well-established standard for securing communication over insecure communication links, offering layer-4 VPN functionality. In the classical Internet TLS is widely used. With the advances of the Internet of Things (IoT) there is an increasing need to secure communication on resource-constrained embedded devices. On these devices, computation of complex cryptographic algorithms is difficult. Additionally, sensor nodes are physically exposed to attackers. Cryptographic acceleration and secure hardware security modules (HSMs) are possible solutions to these challenges. The usage of specialized cryptographic modules for TLS is not a new phenomenon. However, there are still few hardware security modules suitable for the use on microcontrollers in sensor networks. We therefore present an overview of HSM and TLS solutions along with sample implementations and share some recommendations how to combine both.
INDOOR UWB POSITIONING IN EIGER LOCALIZATION SYSTEM
Authors: Kolakowski Jerzy , Consoli Angelo , Djaja-Josko Vitomir , Ayadi Jaouhar , Morrigia Lorenzo , Piazza Francesco
Published: February 2021

The EIGER project proposes a global approach for the exploitation of the efficient joint use of Global Navigation Satellite System (GNSS) signals and Ultra-Wide Band (UWB) positioning in order to allow permanent and reliable outdoor/indoor localization. This paper is focused on the UWB positioning subsystem designed within the project. The architecture of the subsystem, design of its components and the transmission scheme leading to the time difference of arrival determination are described. Results of system laboratory tests are presented and discussed.
APPLICATION OF NUMERICAL INTELLIGENCE METHODS FOR THE AUTOMATIC QUALITY GRADING OF AN EMBRYO DEVELOPMENT
Authors: Jonaitis Domas , Raudonis Vidas , Lipnickas Arunas
Published: February 2021

In vitro fertilization – a procedure which aims to get the embryo to adapt the methods of "oocyte" fertilized sperm outside the human body. At the end of this procedure there are several embryos. This paper represents overview of tracking-free and tracking-based methods for detection of important embryo development stages. Tracking-based method represents well known classical object tracking techniques. For tracking-free method were selected statistical feature extraction techniques and classification methods: Classification with training and classification without training. For the feature extraction proposed statistical methods: entropy, invariant moments and principal components analyses. For the classification are used neural networks, support vector machine and K-nearest neighbor method. Data collected consist of 500 images for each class. 70 percent of images are dedicated for training, and 30 percent for testing. The proposed method is checked by experiment. It is expected that this method will work well in video sequences.
ANALYSIS OF THE SELF-ORGANIZING MAP-BASED INVESTMENT STRATEGY
Authors: Kossakowski Piotr , Bilski Piotr
Published: February 2021

The following paper presents the application of Self-Organizing Maps (SOM) to construct and apply investment strategy on the stock market. Characteristics of this type of neural network and their influence on the investment strategy performance are verified. Considered parameters include the SOM size, here connected to the size of the training set (number of examples). The average number of patterns per neuron was selected as the appropriate measure. Other aspects of the SOM analysis included conscience mechanism, which allows more neurons to be stimulated during the learning process, method of weights updating, determining the number of stimulated neurons. Additionally, the impact of the correlation between features was verified to eliminate redundant ones. Performance of each designed network was verified against the simple investment strategy, generating “buy”, ”sell” and “hold” signals based on the average Rate of Return (RoR). Results show that SOMs with the conscience mechanism outperform their simpler configurations. Elimination of correlated data also improves performance of the SOM-based investment strategy.
DECISION SUPPORT APPROACH FOR INTEGRATED MAINTENANCE PROGRAM OF URBAN RAIL TRANSIT
Authors: Zhang Ming
Published: February 2021

Based on the analysis of the complexity of the equipment maintenance business and the correlation characteristics of the monitoring fault of urban rail transit, this paper puts forward the combination of the integrated maintenance process and intelligent maintenance decision method. The selected data is obtained from the relevant system as a basis for preventive maintenance support by introducing the data mining method of the high frequency fault clustering model of electromechanical equipment. Then the decision tree induction strategy is proposed to identify the equipment object-class and rules led to similar fault for different equipment systems. This class serves as a high priority for prevention repair, predict repair, and fault repair, in order to establish the maintenance decision-making program. Then the related method of evaluation and verification are employed. This method is designed and converted as data flow to develop the maintenance management system. The application results show positive effect on reasonable maintenance management.
USE OF PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DIGITALIZED SINEWAVE SIGNAL PARAMETERS ESTIMATION
Authors: Raimondo Pierfrancesco
Published: February 2021

In the paper is proposed a procedure based on the particle swarm optimization algorithm for parameters estimation of sinewave signals as: amplitude, phase, frequency and offset. Differently from the classical method used to solve this problem (the sine-fitting algorithms), the proposed procedure considers the estimation problem as an optimization one. In fact, the particle swarm algorithm tends to global solution instead of a local solution. The proposed procedure preliminarily estimates the raw value of the parameters under investigation by a time analysis of the input signal. Successively, these values are used by the particle swarm algorithm for the final estimation result. The tests of the proposed procedure determine the most effective cost function for the algorithm and confirm that the achievable performances are in according with the sine fitting algorithm. Moreover, the execution time for the proposed procedure is lower than the sine fitting, making it an interesting alternative.
PERFORMANCE ANALYSIS OF AGENT BASED DISTRIBUTED DEFENSE MECHANISMS AGAINST DDOS ATTACKS
Authors: Singh Karanbir , Singh Dhindsa Kanwalvir , Bhushan Bharat
Published: February 2021

The current internet infrastructure is susceptible to distributed denial of service (DDoS) attacks and has no built in mechanism to defend against them. The research on these kinds of attacks and their defense is significant for the security and reliability of the internet. We have already proposed a collaborative agent based distributed DDoS defense scheme which detect and prevents against DDoS attacks in ISP (Internet Service Provider) boundaries. The actual task of defense is carried out by agents and coordinators in each ISP. The defense system works by inspecting incoming traffic on edge router and identify the happening of DDoS attacks. The agent’s implements an entropy-threshold based detection algorithm. The coordinators share attack related information with neighboring ISPs in order to achieve distributed defense. The performance of defense system is evaluated on the basis of some identified metrics. The effectiveness of the defense system is evaluated in the presence and absence of defense system. The result indicates that the proposed defense system does accurate attack detection with very few false positives and false negatives.