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BI or no BI?: Presence and Future of BI in Small and Medium-sized Enterprises from South Central Bulgaria BI还是没有BI?:商务智能在保加利亚中南部中小型企业中的现状和未来
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351575
S. Klisarova-Belcheva, Tania Yankova, Galina Ilieva
Small and medium-sized enterprises represent 99% of all enterprises in the EU and in Bulgaria and generate about two thirds of gross value added. This makes small business competitiveness of utmost importance for the economies of both the Union and the country. Applying business intelligence in the decision making process of such companies could enhance their receptivity and adaptivity towards market changes and could create a new organizational culture aimed at continuous improvement. The objective of the presented research is to identify the current state and problems related to the application of business intelligent systems in small and medium enterprises in South Central Bulgaria (South Central Statistical Area), to explain the reasons for the status of Bulgarian companies, and to develop recommendations for efficient use of the business intelligence by small and medium-sized business.
中小型企业占欧盟和保加利亚所有企业的99%,创造了约三分之二的总增加值。这使得小企业的竞争力对欧盟和国家的经济都至关重要。在这些公司的决策过程中应用商业智能可以提高他们对市场变化的接受能力和适应性,并可以创造一种旨在持续改进的新的组织文化。本研究的目的是确定与保加利亚中南部(中南部统计区)中小型企业应用商业智能系统相关的现状和问题,解释保加利亚公司现状的原因,并为中小型企业有效利用商业智能提出建议。
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引用次数: 2
Complexity Aspects of Unstructured Sparse Graph Representation 非结构化稀疏图表示的复杂性
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351576
Martin Nehéz, Peter Bartalos
In this paper, we address the problem of the trade-off between the compact memory representation of graphs and their amount of randomness. We design a representation (abbreviated as DBP representation) which does not use information on the structure of graphs, hence it is generally usable. Based on our theoretical lower bound on graph space representation, we define a compression ratio for a given graph with respect to the DBP representation. Based on experimental results, we derive the empirical relationship between the amount of randomness and the compression ratio.
在本文中,我们解决了图的紧凑内存表示和它们的随机性之间的权衡问题。我们设计了一种不使用图结构信息的表示(简称DBP表示),因此它通常是可用的。基于图空间表示的理论下界,我们定义了给定图相对于DBP表示的压缩比。在实验结果的基础上,导出了随机量与压缩比之间的经验关系。
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引用次数: 0
Smart Services for Managing the Design of Personalized Educational Video Games 管理个性化教育电子游戏设计的智能服务
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351574
A. Antonova, Yavor Dankov, B. Bontchev
Smart services extend the level of human-computer interaction (HCI) by automating service' personalization and adaptation, based on end-user profiling, analytics, and context of use. On the other hand, the design of adaptable solutions such as educational video games is a challenging and demanding task. By adopting smart services functionality on a game design platform, we want to support teachers and educational experts to create and implement adaptable educational maze video games. The present research aims to conceptualize a maze video game platform functionality based on smart services. Starting with smart services overview, the paper focuses on the APOGEE maze video game platform, its software architecture and modules. Then, the assistive and analytics services of the APOGEE platform are explored, along with the workflow of the maze video game design process presenting how the assistive services take decisions based on outcomes provided by the learning and gaming analytics. Together with the platform overview, the workflow explanation determines the main platform features. The defined process flow aims to support teachers and education professionals to design and build adaptable and personalized video games and apply them for their educational practices.
智能服务基于终端用户分析、分析和使用环境,通过自动化服务的个性化和适应,扩展了人机交互(HCI)的水平。另一方面,设计适应性解决方案(如教育电子游戏)是一项具有挑战性和高要求的任务。通过在游戏设计平台上采用智能服务功能,我们希望支持教师和教育专家创建和实施适应性强的教育迷宫视频游戏。本研究旨在概念化一个基于智能服务的迷宫视频游戏平台功能。本文从智能服务概述入手,重点介绍了APOGEE迷宫视频游戏平台及其软件架构和模块。然后,探索APOGEE平台的辅助和分析服务,以及迷宫电子游戏设计过程的工作流程,展示辅助服务如何根据学习和游戏分析提供的结果做出决策。与平台概述一起,工作流说明确定了主要的平台特性。定义的过程流旨在支持教师和教育专业人员设计和构建适应性强和个性化的视频游戏,并将其应用于他们的教育实践。
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引用次数: 5
On the Validated Usage of the C++ Standard Template Library c++标准模板库的验证用法
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351570
Bence Babati, G. Horváth, Norbert Pataki, Attila Páter-Részeg
The C++ Standard Template Library (STL) is the most well-known and widely used library that is based on the generic programming paradigm. The STL takes advantage of C++ templates, so it is an extensible, effective but flexible system. Professional C++ programs cannot miss the usage of the STL because it increases quality, maintainability, understandability and efficacy of the code. However, the usage of C++ STL does not guarantee error-free code. Contrarily, incorrect application of the library may introduce new types of problems. Unfortunately, there is still a large number of properties that are tested neither at compilation-time nor at runtime. It is not surprising that in implementation of C++ programs so many STL-related bugs may occur. It is clearly seen that the compilation validation is not sophisticated enough to detect subtle misusages of this library. In this paper, we propose different approaches for the validation of the C++ STL's usage. We take advantage of aspect-oriented programming paradigm, metaprogramming techniques, static analysis, and automated debugging tool as well. We compare the presented approaches comprehensively, the pros and cons of these techniques are considered, evaluated and highlighted.
c++标准模板库(STL)是基于泛型编程范式的最知名和最广泛使用的库。STL利用了c++模板,因此它是一个可扩展的、有效的、灵活的系统。专业的c++程序不能错过STL的使用,因为它提高了代码的质量、可维护性、可理解性和有效性。然而,c++ STL的使用并不能保证代码没有错误。相反,不正确地应用库可能会引入新的问题类型。不幸的是,仍然有大量的属性既不在编译时测试,也不在运行时测试。在c++程序的实现中可能会出现这么多与stl相关的错误,这并不奇怪。可以清楚地看到,编译验证不够复杂,无法检测到这个库的细微误用。在本文中,我们提出了不同的方法来验证c++ STL的使用。我们利用了面向方面的编程范式、元编程技术、静态分析和自动调试工具。我们全面比较了所提出的方法,对这些技术的优缺点进行了考虑、评估和强调。
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引用次数: 3
A GPU Implementation of FastICA in Audio Applications for Small Number of Components 音频应用中FastICA的GPU实现
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351568
Stefan Kanan, M. Gusev, Vladimir Zdraveski
Extracting independent components from audio data has plenty of uses in biology, music, communication and media and in many other fields. The FastICA algorithm is a relatively fast and simple algorithm, that assumes the original sources to be nongaussian and works by lowering the gaussianity of the mixed sources. Yet as the number of samples increase so does the time required for its execution. While one solution would be to simply use just a subset of the samples, in this paper we look at the possibility of extending the FastICA algorithm to the GPU. While similar efforts have been pursued in the past, we deal with data of relatively few components, as would be more common when dealing with audio data. We implement a fully GPU FastICA as well as a CPU-GPU hybrid algorithm, both based on the CUDA platform and compare them with the CPU version. Our results indicate that for large samples the CPU-GPU hybrid and the GPU algorithms perform better than their CPU counterpart.
从音频数据中提取独立成分在生物、音乐、通信和媒体等许多领域都有广泛的应用。FastICA算法是一种相对快速和简单的算法,它假设原始源是非高斯的,并通过降低混合源的高斯来工作。然而,随着样本数量的增加,执行所需的时间也在增加。虽然一种解决方案是简单地使用样本的一个子集,但在本文中,我们将研究将FastICA算法扩展到GPU的可能性。虽然在过去已经进行了类似的努力,但我们处理的是相对较少的组件数据,这在处理音频数据时更为常见。我们实现了一个全GPU的FastICA以及一个CPU-GPU混合算法,两者都基于CUDA平台,并将它们与CPU版本进行比较。我们的结果表明,对于大样本,CPU-GPU混合算法和GPU算法比它们的CPU对应算法表现得更好。
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引用次数: 0
Meta-model of the teaching and learning environment based on ICT integration in the e-learning systems 基于ICT集成的电子学习系统教与学环境元模型
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351582
A. Aleksieva-Petrova, Amoussou Dorothee, Milen Petrov
In a globalizing world driven by the rapid development of ICT, the education system is facing the challenge of promptly seeking and applying suitable methods that can be introduced into the classroom. The main purpose of the paper is to investigate the degree of integration of ICT into the learning process. A meta-model for the integration of ICT tools into the teaching and learning environment has been defined. A methodology has been proposed for evaluating the level of ICT knowledge and utilization and the impact of ICT on the learning process after the introduction of the proposed model. Finally, the results obtained from the study have been appropriately analysed.
在信息通信技术快速发展的全球化世界中,教育系统面临着迅速寻找和应用可引入课堂的合适方法的挑战。本文的主要目的是调查信息通信技术与学习过程的整合程度。定义了将ICT工具整合到教学环境中的元模型。在引入所提议的模型后,已经提出了一种方法来评估信息通信技术的知识和利用水平以及信息通信技术对学习过程的影响。最后,对研究结果进行了适当的分析。
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引用次数: 3
E-commerce Distributed Chatbot System 电子商务分布式聊天机器人系统
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351587
Stefan Angelov, M. Lazarova
Chatbot system attract huge interest in the recent years in many different fields in an attempt to increase the efficiency and shortens the business process execution time replacing the human-human communication with a human-machine conversations and queries in natural languages. Chatbots today have varying levels of capabilities as general purpose conversational agents or task-oriented chatbots as well as open-domain and domain-specific agent systems. While basic chatbots may be adequate for most scenarios, some scenarios require more advanced chatbots. The paper presents a distributed chatbot system for supply chain. The system comprises several services: chat service, bot service, natural language processing service as well as supply chain service. It uses WebSocket communication between user interface and the bot, analyzes the user's query and provides information of the queried orders and supplies.
近年来,聊天机器人系统以自然语言的人机对话和查询取代人机交流,试图提高效率,缩短业务流程的执行时间,在许多不同的领域引起了人们的极大兴趣。今天的聊天机器人具有不同级别的功能,可以是通用会话代理或面向任务的聊天机器人,也可以是开放域和特定于域的代理系统。虽然基本的聊天机器人可能适合大多数场景,但有些场景需要更高级的聊天机器人。提出了一种面向供应链的分布式聊天机器人系统。该系统由几个服务组成:聊天服务、机器人服务、自然语言处理服务和供应链服务。在用户界面和机器人之间使用WebSocket通信,分析用户的查询,并提供查询到的订单和物资信息。
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引用次数: 9
Statistical Analysis in The Research of Human Factor in Software Engineering: Invited Talk Paper 软件工程中人因研究中的统计分析:特邀报告
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351593
L. Angelis
The role of the human factor in software engineering is critical and complicated. The stochastic nature of the human factor and the processes in all software life cycle require systematic data collection and sound statistical analysis and modeling. For almost two decades a variety of problems and methods related to the human factor on software engineering were the main subject of research for of the STAINS (Statistics and Information Systems) research group at School of Informatics, Aristotle University of Thessaloniki. This article presents a review of these research efforts in the area known as empirical software engineering.
人的因素在软件工程中的作用是关键和复杂的。在所有软件生命周期中,人为因素和过程的随机性需要系统的数据收集和可靠的统计分析和建模。近二十年来,与软件工程中的人为因素相关的各种问题和方法是塞萨洛尼基亚里士多德大学信息学学院的统计和信息系统研究小组的主要研究课题。这篇文章介绍了这些在经验软件工程领域的研究成果。
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引用次数: 0
Automatic Identification of Skills' Dependency 技能依赖的自动识别
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351580
Plamen Nachev, O. Georgieva, L. Angelis
Paper introduces a new approach of extracting relation interdependences of human skills hidden in large data sets. The dependence is presented by If-Then fuzzy rules. It is enable both to grasp the relation and to account for the appeared expertise levels. The theoretical achievements are proved by detecting dependencies between different types of sport skills. The extracted knowledge is useful in managing and selecting a successful play team.
本文介绍了一种提取隐藏在大数据集中的人类技能之间相互依赖关系的新方法。用If-Then模糊规则来表示相关性。它既能把握这种关系,又能解释出现的专业水平。通过检测不同类型运动技能之间的依赖关系,验证了理论成果。从中提取的知识对于管理和选择一个成功的游戏团队是有用的。
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引用次数: 0
Interactive Voice Assisted Home Healthcare Systems 交互式语音辅助家庭医疗保健系统
Pub Date : 2019-09-26 DOI: 10.1145/3351556.3351572
A. Ilievski, D. Dojchinovski, M. Gusev
Home healthcare is the new industry where voice assistants are making their way, by increasing efficiency and offering a new experience filled with a wide range of tools and capabilities. Newly developed voice enabled applications made it more convenient for patients to access medical information, monitor and analyze health issues and communicate with the caretaker, which is especially beneficial for the elderly patients. This paper showcases the patient-focused voice and web services developed for Amazon's Alexa and Google Assistant and pinpoint the benefits of this technology in healthcare in the comfort of the patient's home.
通过提高效率并提供充满各种工具和功能的新体验,语音助手正在家庭医疗保健领域崭露头角。新开发的语音应用程序使患者更方便地访问医疗信息,监测和分析健康问题,并与护理人员沟通,这对老年患者尤其有益。本文展示了为亚马逊的Alexa和b谷歌Assistant开发的以患者为中心的语音和网络服务,并指出了这项技术在患者舒适的家中的医疗保健中的好处。
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引用次数: 7
期刊
Proceedings of the 9th Balkan Conference on Informatics
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