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MICRO- VS. MACRO SCOPE SIMULATION IN BPM MODELLING 微观与宏观BPM 建模中的宏观范围模拟
Pub Date : 2018-12-30 DOI: 10.22630/ISIM.2018.7.4.22
R. Pietroń
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引用次数: 0
ENHANCEMENT OF SCRUM-BASED PROJECT MANAGEMENT LEARNING EXPERIENCE BY USING WEB APPLICATION 利用网络应用程序增强基于 Scrum 的项目管理学习体验
Pub Date : 2018-12-30 DOI: 10.22630/isim.2018.7.4.24
Waldemar Sobiecki, A. Kurzydlowska
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引用次数: 0
CLUSTER ANALYSIS OF MEDICAL TEXT DOCUMENTS BY USING SEMI-CLUSTERING APPROACH BASED ON GRAPH REPRESENTATION 基于图表示的医学文本文档半聚类聚类分析
Pub Date : 2018-09-30 DOI: 10.22630/ISIM.2018.7.3.19
Rafał Woźniak, Piotr Ożdżyński, Danuata Zakrzewska
The development of Internet resulted in an increasing number of online text re-positories. In many cases, documents are assigned to more than one class and automatic multi-label classification needs to be used. When the number of labels exceeds the number of the documents, effective label space dimension reduction may signifi-cantly improve classification accuracy, what is a major priority in the medical field. In the paper, we propose document clustering for label selection. We use semi-clustering method, by considering graph representation, where documents are represented by vertices and edge weights are calculated according to their mutual similarity. Assigning documents to semi-clusters helps in reducing number of labels, further used in multilabel classification process. The performance of the method is examined by experiments conducted on real medical datasets.
Internet的发展导致在线文本资源库的数量不断增加。在许多情况下,文档被分配到多个类,需要使用自动多标签分类。当标签数量超过文档数量时,有效的标签空间降维可以显著提高分类精度,这是医学领域的一个重要课题。在本文中,我们提出了用于标签选择的文档聚类。我们使用半聚类方法,通过考虑图表示,其中文档由顶点表示,并根据它们的相互相似性计算边缘权重。将文档分配到半聚类有助于减少标签数量,进一步用于多标签分类过程。在真实的医学数据集上进行了实验,验证了该方法的性能。
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引用次数: 1
GRADE ANALYSIS TO STUDY ICT USAGE IN POLISH ENTERPRISES 通过等级分析研究波兰企业信息通信技术的使用情况
Pub Date : 2018-09-30 DOI: 10.22630/ISIM.2018.7.3.17
Dominik Sieradzki, D. Urbańczyk
The aim of this work is to study the structure of information and telecommunications technologies (ICT) usage in Polish enterprises in 2015. In this paper the overrepresentation maps were considered as a tool of data mining. These maps are crated as the results of GCA algorithm. The analysis of data about ICT in Polish enterprises were shown as an example of GCA application. The advantage of the method is the visualization possibility and legibility of the obtained maps. In this ar-ticle we studied the level of usage of ICT in individual voivodeships, the expenditures for various sectors of ICT for small, medium-size and big enterprises.
这项工作的目的是研究2015年波兰企业的信息和电信技术(ICT)使用结构。本文将超表示映射作为数据挖掘的一种工具。这些地图是由GCA算法生成的。以波兰企业信息通信技术数据分析为例,介绍了GCA的应用情况。该方法的优点是获得的地图具有可视化的可能性和易读性。在这篇文章中,我们研究了信息通信技术在各个省份的使用水平,以及中小企业和大企业在信息通信技术各个部门的支出。
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引用次数: 0
HOUSEHOLDS ELECTRICITY USAGE ANALYSIS AND THE EFFECTIVENESS OF CHANGING TARIFF GROUP 家庭用电量分析及电价组变动的有效性
Pub Date : 2018-09-30 DOI: 10.22630/ISIM.2018.7.3.15
Rafik Nafkha, T. Woźniakowski
After the introduction of the Energy Law in 1997, many enterprises started to operate in the power industry, which is translated into the electricity prices competitiveness. The further household tariff extension with more expensive rates at peak times, and favorable lower rates during the night and off-peak hours, did not result significantly change among users belonging to the most generic household tariff G11 with a single electricity rate per KWh (Kilowatt hour) regardless time of use. The article analyzes the electricity purchase and supply costs of the largest households group belonging to G11 tariff and simulates the effectiveness of moving from existing tariff group to the offered competitive tariff according to electricity suppliers.
1997年《能源法》出台后,许多企业开始进入电力行业,这转化为电价竞争力。家庭电价的进一步扩大,在高峰时段费率更高,在夜间和非高峰时段费率更低,但在属于最通用的家庭电价G11的用户中,无论使用时间如何,每千瓦时(千瓦时)的单一电价并没有产生显着变化。本文分析了G11电价下最大的家庭群体的购电和供电成本,并根据电力供应商的不同,模拟了从现有电价组向提供的竞争性电价组转移的有效性。
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引用次数: 3
INTEGRATION OF QUERIES TO HETEROGENEOUS DATA SOURCES USING LINQ TECHNOLOGY 使用linq技术集成对异构数据源的查询
Pub Date : 2018-09-30 DOI: 10.22630/ISIM.2018.7.3.16
M. Rusek, Jakub Maguza, W. Karwowski
Nowadays, the data are available in a variety of formats such as relational data-base tables, xml files, rdf files or simply text files. Database systems have their own query languages and tools for the manipulation of data. On the other hand, most of todays applications are created in languages based on the object-oriented paradigm. From the level of the programming language it is important to use different sources of data in a uniform manner. The paper discusses the elements of the various query languages such as SQL XQuery or SPARQL. And then shows the capabilities of LINQ and its role in the creation of abstract data access layer. Then the possibilities of LINQ extension are discussed. As the example, design and implementation of LINQ provider for Allegro is presented.
如今,数据以各种格式提供,例如关系数据库表、xml文件、rdf文件或简单的文本文件。数据库系统有自己的查询语言和工具来处理数据。另一方面,今天的大多数应用程序都是用基于面向对象范例的语言创建的。从编程语言的层次来看,以统一的方式使用不同的数据源是很重要的。本文讨论了各种查询语言(如SQL XQuery或SPARQL)的元素。然后介绍了LINQ的功能及其在创建抽象数据访问层中的作用。然后讨论了LINQ扩展的可能性。以Allegro为例,介绍了LINQ提供程序的设计与实现。
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引用次数: 0
QUANTUM-INSPIRED ARTIFICIL NEURAL NETWORKS AND EVOLUTIONARY ALGORITHMS METHODS APPLIED TO MODELING OF THE POLISH ELECTRIC POWER EXCHANGE USING THE DAY-AHEAD MARKET DATA 量子启发的人工神经网络和进化算法方法应用于使用前一天市场数据的波兰电力交换建模
Pub Date : 2018-09-30 DOI: 10.22630/ISIM.2018.7.3.18
J. Tchórzewski, Dariusz Ruciński
The paper presents selected results of research on the use of artificial intelligence methods, which are inspired by quantum computing solutions for modelling of electric power exchange systems. Methods used in the modelling of quantum data acquisition, quantization and dequantization of information as well as the methods of performing quantum computations were emphasized. Furthermore, we have analysed the results obtained for the neural model and for the evolutionary algorithm inspired by the quantum computer science. Eventually, the model was verified on the example of the neural model of the Electric Power Exchange (EPE).
本文介绍了人工智能方法使用的研究结果,这些方法受到量子计算解决方案的启发,用于电力交换系统的建模。重点介绍了量子数据采集的建模方法、信息的量子化和去量子化以及执行量子计算的方法。此外,我们还分析了受量子计算机科学启发的神经模型和进化算法的结果。最后,以电力交换系统(EPE)的神经网络模型为例对该模型进行了验证。
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引用次数: 1
APPLYING E-LEARNING SYSTEMS FOR BIG DATA EDUCATION 应用e-learning系统进行大数据教育
Pub Date : 2018-06-30 DOI: 10.22630/ISIM.2018.7.2.8
Grzegorz Arkit, S. Robak, Aleksandra Arkit
Processing massive data amounts and Big Data became nowadays one of the most significant problems in computer science. The difficulties with education on this field arise, the appropriate teaching methods and tools are needed. The processing of vast amounts of data arriving quickly requires the choice and arrangement of extended hardware platforms.In the paper we will show an approach for teaching students in Big Data and also the choice and arrangement of an appropriate programming platform for Big Data laboratories. Usage of an e-learning platform Moodle, a dedicated platform for teaching, could allow the teaching staff and students an improved contact with by enhancing mutually communication possibilities. We will show the preparation of Hadoop platform tools and Big Data cluster based on Cloudera and Ambari. The both solutions together could enable to cope with the problems in education of students in the field of Big Data.
处理海量数据量和大数据成为当今计算机科学中最重要的问题之一。这一领域的教育出现了困难,需要适当的教学方法和工具。处理快速到达的大量数据需要选择和安排扩展的硬件平台。在本文中,我们将展示一种教授学生大数据的方法,以及为大数据实验室选择和安排合适的编程平台。使用电子学习平台Moodle,一个专门的教学平台,可以通过增加相互交流的可能性,使教师和学生之间的联系得到改善。我们将展示基于Cloudera和Ambari的Hadoop平台工具和大数据集群的准备。这两种解决方案结合起来,可以解决学生在大数据领域的教育问题。
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引用次数: 1
THE APPLICATION OF THE ARIMA MODEL IN FORECASTING THE PASSENGER TRAFFIC ON THE EXAMPLE OF BORDER CROSSINGS BETWEEN THE SUBCARPATHIAN PROVINCE AND UKRAINE arima模型在喀尔巴阡亚省与乌克兰边境口岸客流量预测中的应用
Pub Date : 2018-06-30 DOI: 10.22630/ISIM.2018.7.3.14
D. Dejniak
Accession of Poland to the European Union meant that its eastern border became the external frontier of the Community. The next step in the European integration was joining the Schengen Zone by Poland. Polish citizens may freely travel throughout the Schengen Zone and the state was obliged to tighten its eastern border. Under these circumstances conducting research on passenger traffic has become a vital issue, with particular focus on the eastern frontier. In the article an attempt is made at examining the possibility of forecasting passenger traffic on the example of border crossing points between the Subcarpathian Province and Ukraine using the ARIMA models. Confirmation of these possibilities seems to be crucial as the number of people crossing the border is characterized by high variability and sensitivity to the political situation. The study is based on the information provided by the Polish Border Guard. The conducted time series analysis is of a multi-purpose character. It may be used to support decision making processes of investment, organizational, as well as socio-political nature.
波兰加入欧洲联盟意味着它的东部边界成为共同体的外部边界。欧洲一体化的下一步是波兰加入申根区。波兰公民可以在申根区自由旅行,国家不得不收紧其东部边境。在这种情况下,对客运进行研究就成为一个至关重要的问题,特别是对东部边境进行研究。本文试图以萨喀尔巴阡省和乌克兰之间的过境点为例,探讨利用ARIMA模型预测客流量的可能性。确认这些可能性似乎至关重要,因为越过边界的人数具有高度可变性和对政治局势敏感的特点。这项研究是根据波兰边境警卫队提供的资料进行的。所进行的时间序列分析具有多用途的特点。它可用于支持投资、组织以及社会政治性质的决策过程。
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引用次数: 0
ERP SYSTEMS AND WAREHOUSE MANAGEMENT BY WMS Erp系统和WMS仓库管理
Pub Date : 2018-06-30 DOI: 10.22630/ISIM.2018.7.2.13
T. Woźniakowski, P. Jałowiecki, M. Nowakowska, K. Zmarzłowski
This article presents differences between Enterprise Resource Planning Systems and Warehouse Management Systems. Management of warehouse processes and hardware requires specialized functionality, not present in ERP, functionality that only WMS can provide. Using separate systems enforces their integration. Different approaches to integration and risks connected to implementation are discussed and summarized.
本文介绍了企业资源规划系统和仓库管理系统之间的区别。仓库流程和硬件的管理需要专门的功能,这些功能在ERP中不存在,只有WMS可以提供。使用单独的系统可以加强它们的集成。本文讨论并总结了不同的集成方法和与实现相关的风险。
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引用次数: 6
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Information System in Management
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