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2015 Federated Conference on Computer Science and Information Systems (FedCSIS)最新文献

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Classification and optimization of decision trees for inconsistent decision tables represented as MVD tables 以MVD表表示的不一致决策表的决策树分类与优化
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-11-09 DOI: 10.15439/2015F231
Mohammad Azad, M. Moshkov
{"title":"Classification and optimization of decision trees for inconsistent decision tables represented as MVD tables","authors":"Mohammad Azad, M. Moshkov","doi":"10.15439/2015F231","DOIUrl":"https://doi.org/10.15439/2015F231","url":null,"abstract":"Decision tree is a widely used technique to discover patterns from consistent data set. But if the data set is inconsistent, where there are groups of examples (objects) with equal values of conditional attributes but different decisions (values of the decision attribute), then to discover the essential patterns or knowledge from the data set is challenging. We consider three approaches (generalized, most common and many-valued decision) to handle such inconsistency. We created different greedy algorithms using various types of impurity and uncertainty measures to construct decision trees. We compared the three approaches based on the decision tree properties of the depth, average depth and number of nodes. Based on the result of the comparison, we choose to work with the many-valued decision approach. Now to determine which greedy algorithms are efficient, we compared them based on the optimization and classification results. It was found that some greedy algorithms (Mult_ws_entSort , and Mult_ws_entML) are good for both optimization and classification.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123487327","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: 5
Assessment of query execution performance using selected Business Intelligence tools and experimental agile oriented data modeling approach 使用选定的商业智能工具和实验性的面向敏捷的数据建模方法评估查询执行性能
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-11-09 DOI: 10.15439/2015F267
Radek Nemec
{"title":"Assessment of query execution performance using selected Business Intelligence tools and experimental agile oriented data modeling approach","authors":"Radek Nemec","doi":"10.15439/2015F267","DOIUrl":"https://doi.org/10.15439/2015F267","url":null,"abstract":"The paper deals with the assessment of an experimental data modeling approach which is intended to support the agile oriented data modeling. The approach is based on the Anchor Data Modeling technique and is applied on a multidimensional data model. The assessed approach is expected to facilitate more effective execution of queries in the data mart environment. The emphasis is placed on the comparison of the query execution performance using database schemas, each built using traditional and the experimental approach. The tests are done in the environment of selected modern Business Intelligence tools, and using two test queries with varying output dataset sizes. The results show that the use of the database schema, created according to the experimental data modeling approach, had positive impact on the querying performance in several cases. The magnitude of impact on the querying performance, however, varied depending on each query's respective resulting dataset size.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126345573","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: 2
Approach to building a web-based expert system interface and its application for software provisioning in clouds 基于web的专家系统接口构建方法及其在云环境下的应用
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-11-09 DOI: 10.15439/2015F142
Evgeny Pyshkin, Andrey Kuznetsov
{"title":"Approach to building a web-based expert system interface and its application for software provisioning in clouds","authors":"Evgeny Pyshkin, Andrey Kuznetsov","doi":"10.15439/2015F142","DOIUrl":"https://doi.org/10.15439/2015F142","url":null,"abstract":"This paper focuses on a generalized approach to providing user interface to a web-based expert system (WBES). We examine MVC and MVP design patterns used traditionally to construct a web application user interface. In order to leverage the strength of the MVC/MVP design patterns we propose a special ontology representing a user communication domain. We describe a self-service networked infrastructure for automatic deployment of command line interface (CLI) applications. We demonstrate how to apply the proposed ontology for the design of a WBES aimed at supporting client software re-execution in clouds. In particular, we address the problems existing in the area of software development for music information retrieval algorithms implementation.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129210523","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: 3
Fast GPU and CPU computing for head position estimation 快速GPU和CPU计算头部位置估计
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI: 10.15439/2015F410
M. Szkudlarek, M. Pietruszka
{"title":"Fast GPU and CPU computing for head position estimation","authors":"M. Szkudlarek, M. Pietruszka","doi":"10.15439/2015F410","DOIUrl":"https://doi.org/10.15439/2015F410","url":null,"abstract":"The head movement based control methods in the 3D graphic applications requires the real-time face position estimation. Therefore, the tracking method at the high speed and with the minimal latency is needed. This is especially hard to achieve when the face is tracked with the use of the high resolution video image on mobile devices. In the article, we present several methods for an acceleration of the face position estimation method based on the fuzzy skin color classifier and other color-based face tracking methods. The acceleration is achieved through a highly parallel GPU computation, the precalculation of the classifier weights and through the combined computations on the GPU and the CPU. The achieved computation time is independent of the used skin color classification method, allowing for use of very complex classifiers. The presented methods provides the robust head position tracking on the high resolution video image of 1920×1080 pixels, at 300 frames per second, on the mobile device with a low computing power.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115116271","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: 3
Generating database access code from domain models 从域模型生成数据库访问代码
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI: 10.15439/2015F247
N. Khelifi, M. Smialek, R. Mekki
{"title":"Generating database access code from domain models","authors":"N. Khelifi, M. Smialek, R. Mekki","doi":"10.15439/2015F247","DOIUrl":"https://doi.org/10.15439/2015F247","url":null,"abstract":"Automatic processing of requirements (e.g. to generate code) remains a challenge in contemporary software development. Requirements are still treated as secondary artifacts by software developers, as they are written in natural languages which causes ambiguity. In this paper, we present an approach to generate working code from requirements through applying precisely formulated domain models. As the source, we use the Requirements Specification Language (RSL) which is a precise constrained language, based on a central domain model composed of domain notions. These notions are linked from use case scenarios and create a form of a `wiki'. Notions are graphically visualized in RSL, and resemble UML classes with attributes. Notions can be used in phrases that can represent various operations used within use case scenarios. In our approach we introduce model transformation algorithms that allow to generate database access code associated with operations to persist (store, retrieve) data in a database system. To focus our work, we present code generated for Hibernate which is an object relational mapping framework.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116899263","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: 5
The scalable distributed two-layer Content Based Image Retrieval data store 可扩展的分布式两层基于内容的图像检索数据存储
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI: 10.15439/2015F272
S. Deniziak, T. Michno, Adam Krechowicz
{"title":"The scalable distributed two-layer Content Based Image Retrieval data store","authors":"S. Deniziak, T. Michno, Adam Krechowicz","doi":"10.15439/2015F272","DOIUrl":"https://doi.org/10.15439/2015F272","url":null,"abstract":"The multimedia databases are becoming more and more popular nowadays. One of their main problem is a huge data amount storage. Another problem with multimedia databases is querying. Traditional approaches, based on textual keywords are not sufficient. More advanced techniques, incorporating image content features, should be used. In this paper we propose new multimedia database structure with ability of Content Based Image Retrieval which is based on our previous work: Query by Shape method (QS). Query by Shape is a method which is based on decomposing an object into features. Each feature may consists of shape primitive, a color or a texture. In this paper we only use shape primitives. In order to achieve high scalability and workload control, we propose a modified Scalable Distributed Two-layer Data Structure, as a storage. The modification incorporates adding tree structure, comparing algorithm and returning a set of results to the client.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123555553","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: 9
Clustering approach to the problem of human activity recognition using motion data 基于运动数据的人类活动识别问题的聚类方法
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI: 10.15439/2015F424
Szymon Wawrzyniak, Wojciech Niemiro
{"title":"Clustering approach to the problem of human activity recognition using motion data","authors":"Szymon Wawrzyniak, Wojciech Niemiro","doi":"10.15439/2015F424","DOIUrl":"https://doi.org/10.15439/2015F424","url":null,"abstract":"This paper describes authors' solution to the task set in AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene (https://knowledgepit.fedcsis.org/contest/view.php?id=106). Method involves LDA classification on a preprocessed time series data with a unique label transformation technique using K-Means clustering. Data were collected from accelerometer and gyroscope readings.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122806059","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: 10
The cognitive cycle 认知周期
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI: 10.15439/2015F003
J. Sowa
{"title":"The cognitive cycle","authors":"J. Sowa","doi":"10.15439/2015F003","DOIUrl":"https://doi.org/10.15439/2015F003","url":null,"abstract":"In the twenty years from first grade to a PhD, students never learn any subject by the methods for which machine-learning algorithms have been designed. Those algorithms are useful for analyzing large volumes of data. But they don't enable a computer system to learn a language as quickly and accurately as a three-year-old child. They're not even as effective as a mother raccoon teaching her babies how to find the best garbage cans. For all animals, learning is integrated with the cognitive cycle from perception to purposeful action. Many algorithms are needed to support that cycle. But an intelligent system must be more than a collection of algorithms. It must integrate them in a cognitive cycle of perception, learning, reasoning, and action. That cycle is key to designing intelligent systems.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116746361","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: 12
A hybrid multi-objective programming framework for modeling and optimization of supply chain problems 供应链问题建模与优化的混合多目标规划框架
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI: 10.15439/2015F83
P. Sitek
{"title":"A hybrid multi-objective programming framework for modeling and optimization of supply chain problems","authors":"P. Sitek","doi":"10.15439/2015F83","DOIUrl":"https://doi.org/10.15439/2015F83","url":null,"abstract":"This paper presents a hybrid programming framework for solving multi-objective optimization problems in supply chain. The proposed approach consists of the integration and hybridization of two modeling and solving environments, i.e., constraint logic programming and mathematical programming, to obtain a programming framework that offers significant advantages over the classical approach derived from operational research. The strongest points of both components are combined in the hybrid framework, which by introducing transformation allows a significant reduction in size of a problem and the optimal solution is found a lot faster. This is particularly important in the multi-objective optimization where problems have to be solved over and over again to find a set of Pareto-optimal solutions. An over two thousand-fold reduction in size was obtained for the illustrative examples together with a few hundred-fold reduction in the speed of finding the solution in relation to the mathematical programming method. In addition, the proposed framework allows the introduction of logical constraints that are difficult or impossible to model in operational research environments.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129523344","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: 2
Source code annotations as formal languages 作为形式语言的源代码注释
2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI: 10.15439/2015F173
Milan Nosáľ, Matúš Sulír, Ján Juhár
{"title":"Source code annotations as formal languages","authors":"Milan Nosáľ, Matúš Sulír, Ján Juhár","doi":"10.15439/2015F173","DOIUrl":"https://doi.org/10.15439/2015F173","url":null,"abstract":"Attribute-oriented programming (source code annotations) is a program level marking technique that enables enrichment of program elements with custom metadata. In this paper we hypothesize that there is a correspondence between source code annotations and conventional formal languages in general. We analyze our observations about source code annotations from three aspects of language description: concrete syntax, abstract syntax, and semantics. The discussion provides evidence of the hypothesized correspondence and we use it as a basis for our definition of an annotation-based language (abbreviated: @L). However, the analysis also shows that compared to conventional formal languages, source code annotations have some specificities mainly connected to their binding to host program elements. The presented analysis contributes to the field of attribute-oriented programming by discussing the relationship between annotations and conventional formal languages, and by surveying relational idioms in annotations' usage that can be inspirational for annotations' authors.","PeriodicalId":276884,"journal":{"name":"2015 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129853426","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: 9
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