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Method of Evaluating the User Interface of Software systems for Compliance with the Gestalt Principles 14

Method of Evaluating the User Interface of Software Systems ...

14th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2019

作者： Hovorushchenko, Tetiana Pavlova, Olga Kobel, Kostyantyn Computer Engineering and System Programming Department Khmelnytskyi Ukraine

ISBN: (纸本)9781728108063

The purpose of this study is increasing the usability of the user interfaces (UI) by ensuring their compliance with Gestalt principles. The developed method of evaluating the compliance of the UI with Gestalt principles provides: quantitative evaluation of the compliance of the UI with each of the Gestalt principles;quantitative evaluation of the compliance of the UI to all Gestalt principles in the complex;selection of elements of the UI, which meet to the largest and smallest quantity of Gestalt principles;the formation of the set of UI elements, which require further re-work in order to provide them the compliance with Gestalt principles;increase of compliance of the UI with the Gestalt principles (by 15% for the real UI of webpage for selling the jewelry). © 2019 IEEE.

关键词： User interfaces

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Multi-Agent Technology for Assessing the Availability of Information at the Software Development Initial Stages 16

Multi-Agent Technology for Assessing the Availability of Inf...

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16th IEEE International Conference on computer Science and Information Technologies, CSIT 2021

作者： Hovorushchenko, Tetiana Pavlova, Olga Computer Engineering and System Programming Department Khmelnytskyi Ukraine

ISBN: (纸本)9781665442572

The development of multi-agent technology for assessing the availability of information at the software development initial stages is an actual task, the solution of which is the purpose of this study. The paper presents the structure and functioning of multi-agent technology for assessing the availability of information at the software development initial stages, which is suitable for working with requirements specifications in modern conditions, when software requirements often change, - due to the speed and ease of specifications' analysis. Both the developer and the customer can always check the availability of information in the updated requirements specification, without spending a lot of time and effort. © 2021 IEEE.

关键词： Requirements engineering

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Method of Assessing the Impact of External Factors on Geopositioning system Operation Using Android GPS API 16

Method of Assessing the Impact of External Factors on Geopos...

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16th IEEE International Conference on computer Science and Information Technologies, CSIT 2021

作者： Hovorushchenko, Tetiana Pavlova, Olga Avsiyevych, Volodymyr Computer Engineering and System Programming Department Khmelnytskyi Ukraine

ISBN: (纸本)9781665442572

The main methods of analysis the accuracy of the geolocation system were studied. The aspects of technology for obtaining geographical coordinates using Google geolocation system (GPS) were considered. The best method of obtaining data from satellites was searched. Today the geolocation system has become widely used in many industries, such as military, aviation, maritime, navigation of ordinary users. Also, a significant spread of this technology is noticed in many geographical areas, such as cartography, geodesy and is an area of interests of many scientists. A mobile app based on Android platform for conducting the experiments to determine the accuracy of geolocation services in the form of Web Quests was developed. © 2021 IEEE.

关键词： Global positioning system

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Forming the logical conclusion about sufficiency of information of software requirements specification for software quality assessment by ISO 25010:2011 1

Forming the logical conclusion about sufficiency of informat...

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1st IEEE Ukraine Conference on Electrical and computer engineering, UKRCON 2017

作者： Hovorushchenko, Tetiana Computer Engineering and System Programming Department Khmelnitsky National University Khmelnitsky Ukraine

ISBN: (纸本)9781509030064

The aim of this study is the development of the method of generating and filling the template of ontology for the quality of the concrete software and method of forming the logical conclusion about the sufficiency of information of software requirements specification (SRS) for software quality assessment (by ISO 25010:2011). The first time proposed method of generating and filling the template of ontology for the quality of the concrete software leaves in the relevant ontology only measures, which are available in the SRS for the concrete software. It provides forming the ontology for the quality of the concrete software. The first time developed method of forming the logical conclusion about the sufficiency of the SRS information for software quality assessment provides the conclusion about the sufficiency or insufficiency of the SRS information for software quality assessment by ISO 25010:2011. If the SRS information is insufficient, this method: provides the conclusion for which characteristics and sub-characteristics the information is insufficient;creates the sorted list of missing measures as the recommended priority of their addition in the SRS;evaluates the veracity of software quality assessment based on the available in the SRS measures. © 2017 IEEE.

关键词： Ontology

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Reliable Code Generation and Test Environment demonstrated on a PI-Controller Design

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IFAC-PapersOnLine 2016年第3期49卷 465-470页

作者： Schwarz, M.H. Sheng, H. Üstoglu, I. Chabaan, W. Börcsök, J. Safety Computer Technology University of Kassel Germany Control and Automation Engineering Department Yildiz Technical University Istanbul Turkey Computer Architecture and System Programming University of Kassel Germany

This paper focuses on the latest version of a tool developed within the department to guide developer through the various steps of requirements, test-procedures and documentations to finally download the derived algorithm on a safety programmable logic controller (PLC). Requirements on how to develop and how to test software are steadily increasing due to international standards, which have to be obeyed in industries in general, and in the process- and automation industries in particular. A simple model is derived to be used to develop a PI controller that has to pass several steps to be qualified for execution on a PLC. The paper explains the different steps and describes the various problems that might occur. © 2016

关键词： Controllers Accident prevention Reliability Software testing Automated code generation Automation industry International standards P i controller designs PI control Programmable Logic Controller (PLC) Simple modeling Test Environment

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A botnet detection approach based on the clonal selection algorithm 9

A botnet detection approach based on the clonal selection al...

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9th IEEE International Conference on Dependable systems, Services and Technologies, DESSERT 2018

作者： Lysenko, Sergii Bobrovnikova, Kira Savenko, Oleg Department of Computer Engineering and System Programming Khmelnitsky National University Instytutska 11 Khmelnitsky Ukraine

ISBN: (纸本)9781538659038

The paper presents a new technique for the botnets' detection in the corporate area networks. It is based on the usage of the algorithms of the artificial immune systems. Proposed approach is able to distinguish benign network traffic from malicious one using the clonal selection algorithm taking into account the features of the botnet's presence in the network. An approach present the main improvements of the BotGRABBER system. It is able to detect the IRC, HTTP, DNS and P2P botnets. © 2018 IEEE.

关键词： Botnet

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DDoS botnet detection technique based on the use of the semi-supervised fuzzy C-means clustering 14

DDoS botnet detection technique based on the use of the semi...

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14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2018

作者： Lysenko, Sergii Savenko, Oleg Bobrovnikova, Kira Department of Computer Engineering System Programming Khmelnitsky National University Instytutska 11 Khmelnitsky Ukraine

A new technique for the DDoS botnet detection based on the botnets network features analysis is proposed. It uses the semi-supervised fuzzy c-means clustering. The proposed approach includes the learning and the detection stages. Analysis is based on the extracted from the network traffic features that may indicate the presence of the DDoS botnets' presence in the network. Experimental results demonstrated that the proposed technique ensures the DDoS botnet detection at the rate at about 95%. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Botnet

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Modelling the Process of Determining the Tourist Demand Based on Fishbein's Multi-Attribute Model 15

Modelling the Process of Determining the Tourist Demand Base...

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15th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2020

作者： Hovorushchenko, Tetiana Glukhov, Vladyslav Hovorushchenko, Olha Computer Engineering and System Programming Department Khmelnytskyi Ukraine Khmelnytskyi Lyceum No. 17 Khmelnytskyi Ukraine

ISBN: (纸本)9781728174433

The purpose of this paper is automating the analysis of tourist demand by developing a web-service for surveying tourists (both real and potential) and for presenting the survey results in the form of determining the tourist demand. The model of the process of determining the tourist demand based on Fishbein's multi-attribute model has been developed. The most important attributes, by which tourists evaluate their travels, and the relative importance of such attributes are identified. Rules for translating the thoughts and ratings of the user into an acceptable for the developed model 7-point bipolar scale have been developed. The web-service, which provides automating the calculation of tourist attraction of different countries, has been developed. © 2020 IEEE.

关键词： Web services

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A stochastic approach to the probability of failure on demand (PFD) with regard to the standard IEC 61508

A stochastic approach to the probability of failure on deman...

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11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012

作者： Wacker, H.D. Ugljesa, E. Boercsoek, J. Department of Computer Architecture and System Programming Faculty of Electrical Engineering /Computer Science University Kassel Wilhelmshöher Allee 71 Germany

ISBN: (纸本)9781622764365

Let there be given a safety related electronic system suffering from random failures or errors. The standard IEC 61508 contains simplified equations for the probability of failure on demand PFDavg for special system architectures, mostly without proof. In various publications PFDavg is defined by several different equations, e.g. as a Laplacian probability, as an integral mean, or by means of the average failure rate of the system. The aim of the paper is to determine PFDavgby stochastic methods and to bring together the different definitions. A formula for PFDavg is given that is valid for most universal electronic systems. The equivalence of 2 different definitions of PFDavgis shown. The special case of a koon-system is investigated, and the resulting equations improve those known so far. The basic idea is to randomize the time to failure, the down time of the system, as well as the repair time, and then, by means of the Stieltjes-Integral, determine the mean or average time as the expectation of the respective random variable.

关键词： Stochastic systems

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Comparative Study for Classification Methods to Predict and Detect Epilepsy Seizure 5

Comparative Study for Classification Methods to Predict and ...

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5th IEEE Middle East and Africa Conference on Biomedical engineering, MECBME 2020

作者： El Halabi, Nashaat Abi Zeid Daou, Roy Achkar, Roger Hayek, Ali Boercsoek, Josef American University of Science and Technology Department of Computer and Communications Engineering Faculty of Engineering Beirut Lebanon Faculty of Public Health Biomedical Technologies Department Jounieh Lebanon American University of Science and Technology Department of Computer and Communications Engineering Faculty of Engineering Beirut Lebanon Computer Science University of Kassel Department of Computer Architecture and System Programming Faculty of Electrical Engineering Germany Computer Science University of Kassel Department of Computer Architecture and System Programming Faculty of Electrical Engineering Germany

ISBN: (纸本)9781728123585

Epilepsy is a medical problem that tackles lots of patients. It limits the life activity of such patients due to the seizures that occur anytime and anywhere. Thus, creating a monitoring system that could make their life easier and allow them to perform daily life activities as safe as possible has been studied. This paper is a continuity for a project where a system monitors epileptic patients using a set of wearable sensors connected to several processing units, the main sensors are Electroencephalogram (EEG) for the electrical activity of the brain, electrocardiogram (ECG) for the electrical activity of the heart, and accelerometers to monitor the posture of the patient, features extracted from EEG and ECG signals are used for prediction/detection of seizures. Thus, the objective of this paper is to present a comparative study in order to choose the appropriate classification method for seizure prediction and detection. Five classification methods were studied: Decision Trees, Discriminant Analysis, Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Ensemble Learning. For each of the classification methods, the accuracy, the specificity, the sensitivity, the precision, the false detection rate and the Fmeasure were studied and compared. The results for seizure prediction system show that the highest accuracy, specificity and F-Measure, and lowest false detection rate were achieved with Bagged Trees Ensemble Learning, the highest sensitivity and precision were achieved with Quadratic Support Vector Machine. However, for seizure detection system, the highest accuracy and F-Measure were achieved with Linear Support Vector, the highest sensitivity and specificity were achieved with Fine Gaussian Support Vector Machine, and the highest precision and lowest false detection rate were achieved with Subspace Discriminant Ensemble Learning. © 2020 IEEE.

关键词： Support vector machines

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