2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)最新文献_第5页

SISY 2019 Copyright Page SISY 2019版权页面

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/sisy47553.2019.9111551

引用次数: 0

Process Mining Possibilities and Challenges: A Case Study 过程挖掘的可能性和挑战:一个案例研究

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/SISY47553.2019.9111591

D. Dakic, S. Sladojevic, T. Lolic, Darko Stefanović

{"title":"Process Mining Possibilities and Challenges: A Case Study","authors":"D. Dakic, S. Sladojevic, T. Lolic, Darko Stefanović","doi":"10.1109/SISY47553.2019.9111591","DOIUrl":"https://doi.org/10.1109/SISY47553.2019.9111591","url":null,"abstract":"With today’s highly automated business environment and exponential growth of diverse data, new research domains are being established. An example is process mining, a discipline that emerged in the last decade and has process-centric view on data science. Process mining uses real event data in the form of event logs, generated usually from extracted event data of Process-Aware Information Systems (PAIS), in order to automatically construct business process models, compare them with an event log of the same process and improve existing process models, therefore, bridging the gap between process model analysis and data-oriented analysis. One of the main challenges of process mining, identified by the IEEE Task Force on Process Mining, is the lack of representative benchmarks and the consensus on process mining project methodology. In this paper, based on the comparison of two most prominent process mining tools, against their technical and performance features, a solution for conducting discovery and enhancement types of process mining, alongside with social network mining is presented. Furthermore, provided case study applies proposed solution on publicly available manufacturing event log extracted from ERP system, performed in both ProM and Disco process mining tools and presents the discovered process model, social network and detected problems.","PeriodicalId":256922,"journal":{"name":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115727200","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}

引用次数: 11

SISY 2019 Welcome Message from the General Chair SISY 2019总主席欢迎辞

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/sisy47553.2019.9111564

引用次数: 0

The bipolar Choquet g-integrals 双极Choquet g积分

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/SISY47553.2019.9111535

B. Mihailovic, Mirjana Strboja, Milos Todorov

引用次数: 0

SISY 2019 Authors Index SISY 2019作者索引

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/sisy47553.2019.9111644

引用次数: 0

Ensemble methods for strongly imbalanced data: bankruptcy prediction 强不平衡数据的集合方法:破产预测

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/SISY47553.2019.9111557

Peter Gnip, P. Drotár

引用次数: 7

Knowledge Based Diagnostic Approach for Enterprise Storage Systems 基于知识的企业存储系统诊断方法

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/SISY47553.2019.9111617

Olga V. Mamoutova, M. Uspenskiy, A. V. Sochnev, S. Smirnov, M. Bolsunovskaya

引用次数: 3

Towards a Transfer Concept from Camera-Based Driver Assistance to the Assistance of Visually Impaired Pedestrians 从基于摄像头的驾驶员辅助到视障行人辅助的过渡概念

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/SISY47553.2019.9111476

Judith Jakob, J. Tick

{"title":"Towards a Transfer Concept from Camera-Based Driver Assistance to the Assistance of Visually Impaired Pedestrians","authors":"Judith Jakob, J. Tick","doi":"10.1109/SISY47553.2019.9111476","DOIUrl":"https://doi.org/10.1109/SISY47553.2019.9111476","url":null,"abstract":"In order to support visually impaired people in traffic situations, a concept for transferring existing camera-based object detection algorithms from Advanced Driver Assistance Systems (ADAS) to Assistive Systems for the Visually Impaired (ASVI) is in development. This paper summarizes the previous work towards a transfer concept, introduces research categories and according statements, and presents the evaluation of the three so far addressed use cases, namely road background segmentation, crosswalk, and lane detection. Based on a literature review, it is stated that ADAS and ASVI are similarly composed and that there is an overlap in use cases addressed in ADAS and needed in ASVI. The conduction and evaluation of a qualitative interview study makes it possible to determine the exact overlap: Lane, crosswalk, traffic sign, traffic light (state), (driving) vehicle, obstacle, and bicycle detection. Additionally, road background segmentation is considered. For every of these use cases, it has to be established if an adaptation is possible and leads to similar hit rates as the underlying algorithm. This is confirmed for the so far addressed use cases. The hit rates on the tested data are 99.87 % for road background segmentation, 98.64 % for crosswalk, and 97.89 % for lane detection. In the future, the remaining use cases will be examined and the findings will be summarized in a transfer concept.","PeriodicalId":256922,"journal":{"name":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123743361","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}

引用次数: 1

The Use of Multiple Components Fixed Point Iteration in the Adaptive Control of Single Variable Systems 多分量不动点迭代在单变量系统自适应控制中的应用

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/SISY47553.2019.9111520

Hemza Redjimi, J. Tar

{"title":"The Use of Multiple Components Fixed Point Iteration in the Adaptive Control of Single Variable Systems","authors":"Hemza Redjimi, J. Tar","doi":"10.1109/SISY47553.2019.9111520","DOIUrl":"https://doi.org/10.1109/SISY47553.2019.9111520","url":null,"abstract":"In the practice as e.g., in robotics, life sciences, chemistry, normally strongly nonlinear systems have to be controlled on the basis of imprecise and often partial system models that -in spite of their imperfectness- reveal significant features of the systems under control. In these cases the use of the completely data-driven, “model-free; approach is not exclusively advantageous, since the a priori information encoded in the available model can be utilized, too. The consequences of the modeling imprecisions can be compensated by the use of either robust or adaptive techniques. The prevailing adaptive approach uses Lyapunov functions that often need complete state estimation that in the lack of the necessary sensors- cannot be executed because of missing information. An alternative approach transformed the control task into a fixed point iteration that can be solved real-time without the need of complete state estimation. It is a mathematical framework based on Banach’s fixed point theorem, and it can be realized by the combination of various components. A solution to multiple variable system was recently published. In the present paper this method is used for single input - single output systems by applying it to shorter time series of the state variable. This structure allows the application of a simple noise filtering technique that is investigated by numerical simulations in the case of the adaptive control of a nonlinear paradigm also containing delay in its model. The results support the idea that this simple noise filtering technique can be useful.","PeriodicalId":256922,"journal":{"name":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133244448","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}

引用次数: 1

External manipulation recognition modul in self-driving vehicles 自动驾驶汽车外部操纵识别模块

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI: 10.1109/SISY47553.2019.9111547

G. Kiss

引用次数: 3