2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)最新文献

{"title":"Digital Forensics: Evidence Analysis via Intelligent Systems and Practices DigForASP - CA17124. Challenges and Achievements: Plenary Talk","authors":"Jesús Medina","doi":"10.1109/SISY56759.2022.10036257","DOIUrl":"https://doi.org/10.1109/SISY56759.2022.10036257","url":null,"abstract":"The Action COST DigForAsp is composed of more than 250 specialists and researchers from 36 countries, which is focused on searching for and consolidating of synergies in order to face the challenges in digital forensics, improve processes and obtain more efficient results, throughout the application of Artificial Intelligence and Automatic Reasoning tools. DigForASP aims to create one of the largest European intergovernmental networks for the coordination of European scientific and technical research in Digital Forensic, under the support of the European Cooperation Program in Science and Technology (COST), funded by the European Commission, which seeks to strengthen scientific and technical research in Europe by financing the establishment of collaborative networks between researchers. In this talk, the description of digital forensic and the specific goals of the Action will be presented. Moreover, we will also pay attention to current challenges and achievements.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"47 1","pages":"17-18"},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75253068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kinematic quantification of knee joint asymmetry during preparatory phase of a standing backward tucked salto","authors":"Stefania Cerasela Patrascu Domokos, Andrei Dragomir, S. Mirica, M. Domokos, I. Borozan, A. Nagel, V. Argesanu","doi":"10.1109/SISY50555.2020.9217081","DOIUrl":"https://doi.org/10.1109/SISY50555.2020.9217081","url":null,"abstract":"","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"34 1","pages":"49-54"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81378119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fuzzy Based Indoor Navigation for Mobile Robots","authors":"Máté Tóth, D. Stojcsics, Zsolt Domozi, I. Lovas","doi":"10.1109/SISY.2018.8524842","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524842","url":null,"abstract":"In today's world the expansion of autonomous robots is getting bigger and bigger, while in everyday life the people can meet devices which are capable of managing a wide range of tasks independently. In order to manage tasks these robots are equipped with sensors, which they use to be able to sample and analyze the parameters of their environment. The robots use obtained information to modify and help their own operation or rather its smooth running. Particular autonomous robots navigate themselves using the data utilized for their orientation and if necessary they manage obstacle avoidance in order, that the robot may reach its destination. Such sensors can be cameras too which provide image data of the robot's environment. The navigation procedure to be introduced in the article was developed for a Turtlebot robot utilizing stereo vision. The robot is modularly built. Real-time 3D reconstruction, which is the basis of navigation, is to be introduced in detail in another article yet to be published.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"46 1","pages":"000333-000338"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74507934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cybersecurity Issues in Industrial Control Systems","authors":"Z. Szabó","doi":"10.1109/SISY.2018.8524613","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524613","url":null,"abstract":"Incidents with a high level of damage that have been perceived worldwide increasingly indicate that compliance with international information security standards and statutory compliance, periodically revised, does not in itself mean full protection against attackers using prepared and targeted methods. When building a risk management system to address the challenge, we must be able to decide what extra solutions need to be spent money on, in addition to meeting the compliance requirements, for more effective data protection. This is not possible without the underlying threats of the particular business environment and infrastructure and the vulnerabilities of the systems involved. Today's challenges require complex cyber protection. This paper deals with security issues in industrial control systems through case studies.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"3 1","pages":"000231-000234"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74410602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linked Rule-Premises to Optimize the Fuzzy-Based Risk Assessment","authors":"E. Tóth-Laufer","doi":"10.1109/SISY.2018.8524744","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524744","url":null,"abstract":"In patient monitoring fuzzy-based evaluation can be used advantageously, because of its characteristics. This approach can work with input factors, for which sharp limits cannot be defined and it can handle uncertainties, subjectivity in the data as well as the evaluation process. The conventional Mamdani inference is the most suitable method, because it helps to build a model, which is much closer to human thinking, but its computational needs are very high, due to the complex-shape functions. This paper introduces a flexible patient monitoring system optimization, where the input functions can be tuned according to the personal statistics. Modified versions of the Mamdani inference are applied in this system, which can reduce computational complexity, while they retain the advantages of the original method.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"26 1","pages":"000173-000178"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78776918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Netfood: A Software System for Food Ordering and Delivery","authors":"C. Domokos, Barna Séra, Károly Simon, L. Kovács, T. Szakács","doi":"10.1109/SISY.2018.8524854","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524854","url":null,"abstract":"Netfood is an order management software for food delivery companies. It is a delivery-oriented system that allows clients to order from multiple restaurants at the same time, and provides the possibility to order individually or in a group. Orders can be placed by users through the web interface. The data related to restaurants, foods and orders is managed by administrators. A mobile application is used by the delivery personnel. Both client applications are served with data by a central server. The article presents the architecture and the implementation of the software system. The technologies, tools and methods used during the development process are also described.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"25 4 1","pages":"000143-000148"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77909855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing Sentiment Analysis and Document Representation Methods of Amazon Reviews","authors":"Katic Tamara, Nemanja Milićević","doi":"10.1109/SISY.2018.8524814","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524814","url":null,"abstract":"In the last few years sentiment analysis has made much progress. Sentiment analysis has been used in several applications to identify the opinions of people, products, brands, services, etc., which can, for example, improve a company's business. Some of these applications claim to have more effective document representation models than merely Information Retrieval approaches like the bag-of-words representation. Document representation models have increased interest to solve some of the limitations that bag-of-words representation has. In this paper, the several sentiment analysis and document representation methods of Amazon reviews are compared. In this paper, traditional models such as a bag-of-words, bag-of-ngrams and their TF-IDF variants combined with linear classifiers such as Logistic Regression and SVM, and deep learning models such as word-based convolutional neural networks (ConvNets) and the simple long short-term memory (LSTM) recurrent neural network were used. Various document representation techniques such as Paragraph Vector or using pre-trained Word2Vec and Glove word embeddings to compute the vector for each word in the document were tested, and word vectors are aggregated using the element-wise mean. It is shown that deep learning models perform better on our large dataset than traditional models. LSTM resulted with the best accuracy of 95.55%. Deep learning models generally work better than traditional models as training set size increases. Our best performing model can be used for automatic sentiment classification for future product reviews in retail stores.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"33 1","pages":"000283-000286"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77798039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Influence of the Mesh Element Size on the Natural Frequencies of Beam","authors":"I. Crâstiu, Calin Pop-Gozman, S. Deac, Costel Berce, D. Simoiu, L. Bereteu","doi":"10.1109/SISY.2018.8524686","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524686","url":null,"abstract":"Mechanical engineering software products such as ANSYS, Catia, SolidWorks and others offer both modules for designing different components or technological processes as well as modules for simulating their dynamic behavior. Therefore, a calculation of the vibration modes and frequencies of a structure through an analytical approach is very complicated, but the numerical approach is not so complex. However, in Finite Element Analysis the mesh size of the mesh elements is closely related to the calculation speed and the required precision. The paper aims to track the effect of the size of the finite element on the natural frequencies of a beam.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"4 1","pages":"000137-000142"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87804241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Model is Worth a Thousand Words?","authors":"S. Ristić","doi":"10.1109/SISY.2018.8524790","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524790","url":null,"abstract":"An information system's (IS) design and implementation, beyond others, involve understanding of the social and organizational context of the system and making decisions according to the limitations of environment and technology. The open, dynamic and almost unbounded nature of contemporary environment of the ISs poses many new challenges. The need for reengineering of information systems has dramatically increased as legacy ISs are migrated to new platforms. Reengineering of an IS has the objective of extracting the contents, data structures, and flow of data and processes contained within existing legacy IS in order to reconstitute them into a new form for subsequent implementation. Inability of traditional information system (re)engineering approaches, methodologies and tools to cope with ever increasing complexity of contemporary information systems leads towards paradigm shift. Here we discuss an approach to IS (re)engineering that is based on Model-driven (MD) and Domain Specific Language paradigms. MD paradigm assumes orientation on models at all stages of system development and addresses complexity through abstraction. It promotes the idea of abstracting implementation details by focusing on: models as first class entities and automated generation of models or code from other models. MD software development approaches usually rely on Domain-Specific Languages (DSLs) that are specific to the certain domain of application. MD and DSL paradigms applied in information system (re)engineering projects increase: the development speed through automation and single point of system definition, the software quality, and component reuse. Their application reduces conceptual gap between problem domains and software implementation, improves manageability of complexity through abstraction, enables greater domain expert inclusion in the development process, and supports better communication between different stakeholders. The role of MD and DSL paradigms in information system (re)engineering is illustrated on the example of IIS*Studio development environment aimed at MD information system (re)engineering.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"40 1","pages":"000015-000020"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79017831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dog Breed Identification Using Deep Learning","authors":"Zalán Ráduly, Csaba Sulyok, Zsolt Vadászi, Attila Zolde","doi":"10.1109/SISY.2018.8524715","DOIUrl":"https://doi.org/10.1109/SISY.2018.8524715","url":null,"abstract":"The current paper presents a fine-grained image recognition problem, one of multi-class classification, namely determining the breed of a dog in a given image. The presented system employs innovative methods in deep learning, including convolutional neural networks. Two different networks are trained and evaluated on the Stanford Dogs dataset. The usage/evaluation of convolutional neural networks is presented through a software system. It contains a central server and a mobile client, which includes components and libraries for evaluating on a neural network in both online and offline environments.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"1 1","pages":"000271-000276"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91389820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}