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21st Century Skills of ICT Professionals: the Requirements of Business and Readiness of Higher Education in Bulgaria 信息通信技术专业人员的21世纪技能:保加利亚高等教育的商业要求和准备
Pub Date : 2020-06-19 DOI: 10.1145/3407982.3408004
A. Antonova, E. Stefanova, N. Nikolova, Pencho Mihnev, B. Bontchev
Universities need to increasingly adapt their educational methods in order to prepare the new generation of experts with additional skills for the future of work. Especially in the field of ICT, besides proficiency in theoretical and subject-related ICT knowledge and practical programming skills, young graduates have to demonstrate mastery in different transversal and soft skills. Taking into account that the ICT sector is one of the most knowledge-intensive, export-oriented and globally recognized sectors in Bulgaria, the quality of the ICT training is substantially important for its future competitiveness and growth. Stepping on a theoretical framework for 21st century skills, the present research aims to outline what are the key 21st century skills of the young graduates, as evaluated by ICT employers and University lecturers. By presenting the outcomes of ten in-depth, semi-structured interviews with company owners, business leaders, HR managers, and academics, the paper outlines the main trends and rankings of the soft skills for ICT graduates, without taking in consideration the specific professional competences or subject-related knowledge. The first part introduces the context, the methodology and the scope of the research. The outcomes of the interviews are presented both as quantitative figures and as specific comments of the participants, highlighting different practical aspects. Finally, the current analysis provides fruitful insights and recommendations about the new types of methods for training relevant for the ICT sector 21st century skills.
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引用次数: 1
Comparison of algorithms for near-optimal dominating sets computation in real-world networks 现实网络中近似最优支配集计算算法的比较
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812443
Martin Nehéz, Dusan Bernát, Martin Klauco
Computation of the minimum dominating set problem is a classical discrete optimization problem in graph theory. Recently, it has found application in the network controlling theory. In this paper, there are compared three approaches of small dominating set computation. The first one is based on the integer linear programming. The second one is the combined hill-climbing algorithm which is based on the randomization and binary searching. Both are compared with a simply greedy algorithm. The experiments were conducted for three different graph classes. The integer linear programming achieved the best performance for the large real-world network's analysis.
最小支配集问题的计算是图论中一个经典的离散优化问题。近年来,它在网络控制理论中得到了应用。本文比较了小支配集计算的三种方法。第一种是基于整数线性规划的。第二种是基于随机化和二叉搜索的组合爬坡算法。两者都与一个简单的贪心算法进行了比较。实验针对三种不同的图类进行。整数线性规划在实际大型网络的分析中取得了最好的效果。
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引用次数: 8
On speeding up the implementation of nearest neighbour search and classification 加快实现最近邻搜索和分类
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812464
Ivo Marinchev, G. Agre
The paper presents practical approaches and techniques to speeding up implementations of nearest neighbour search/classification algorithm for high dimensional data and/or many training examples. Such settings often appear in the fields of big data and data mining. We apply a fast iterative form of polar decomposition and use the computed matrix to pre-select smaller number of candidate classes for the query element. We show that additional speed up can be achieved when the training classes consists of many instances by subdividing them in subclasses by fast approximation of some clustering algorithm and the resulting classification is used for building the decomposition matrix. Our pre-processing (depends linearly or near linearly on the number of examples and dimensions) and pre-selection steps (depends on number of classes) can be used with any well-known indexing method as annulus method, kd-trees, metric trees, r-trees, cover trees, etc to limit the training instances used in the search/classification process. Finally we introduce what we name cluster index and show that in practice it extends the applicability of the indexing structures with higher order complexity to bigger datasets.
本文提出了加速高维数据和/或大量训练样例的最近邻搜索/分类算法实现的实用方法和技术。这样的设置经常出现在大数据和数据挖掘领域。我们采用快速迭代形式的极坐标分解,并使用计算矩阵为查询元素预先选择较少数量的候选类。我们表明,当训练类由许多实例组成时,通过一些聚类算法的快速近似将它们细分为子类,并将结果分类用于构建分解矩阵,可以获得额外的速度。我们的预处理(线性或近似线性取决于样本和维度的数量)和预选步骤(取决于类的数量)可以与任何众所周知的索引方法一起使用,如环空方法、kd树、度量树、r树、覆盖树等,以限制搜索/分类过程中使用的训练实例。最后,我们介绍了聚类索引,并表明在实践中它扩展了高阶复杂性索引结构对更大数据集的适用性。
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引用次数: 1
Reusability based program clone detection: case study on large scale healthcare software system 基于可重用性的程序克隆检测:大型医疗软件系统的案例研究
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812471
Petri Pulkkinen, Johannes Holvitie, O. Nevalainen, V. Leppänen
A novel process for identifying reusable program clones is described in this work. The process is applied to a very demanding context, a large-scale closed source healthcare software system. As results, the applicability and maturity of the clone detection system are discussed but also the results of the study are summarized. In this, especial care has been taken in order to retain result comparability with other hallmark studies on clone detection.
本文描述了一种识别可重用程序克隆的新方法。该过程应用于一个非常苛刻的环境,一个大型闭源医疗保健软件系统。最后对克隆检测系统的适用性和成熟度进行了讨论,并对研究结果进行了总结。在这方面,为了保持结果与其他克隆检测的标志性研究的可比性,特别注意。
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引用次数: 6
Database technologies in the world of big data 大数据世界中的数据库技术
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812429
J. Pokorný
Now we have a number of database technologies called usually NoSQL, like key-value, column-oriented, and document stores as well as search engines and graph databases. Whereas SQL software vendors offer advanced products with the capability to handle highly complex queries and transactions, NoSQL databases share rather characteristics concerning scaling and performance, as e.g. auto-sharding, distributed query support, and integrated caching. Their drawbacks can be a lack of schema or data consistency, difficulty in testing and maintaining, and absence of a higher query language. Complex data modelling and the SQL language as the only access tool to data are missing here. On the other hand, last studies show that both SQL and NoSQL databases have value for both for transactional and analytical Big Data. Top databases providers offer rearchitected database technologies combining row data stores with columnar in-memory compression enabling processing large data sets and analytical querying, often over massive, continuous data streams. The technological progress led to development of massively parallel processing analytic databases. The paper presents some details of current database technologies, their pros and cons in different application environments, and emerging trends in this area.
现在我们有许多通常称为NoSQL的数据库技术,如键值存储、面向列存储、文档存储以及搜索引擎和图形数据库。SQL软件供应商提供的高级产品能够处理高度复杂的查询和事务,而NoSQL数据库在可伸缩性和性能方面有很多共同点,比如自动分片、分布式查询支持和集成缓存。它们的缺点可能是缺乏模式或数据一致性,难以测试和维护,以及缺乏高级查询语言。这里缺少复杂的数据建模和SQL语言作为唯一的数据访问工具。另一方面,最近的研究表明,SQL和NoSQL数据库对事务性和分析性大数据都有价值。顶级数据库提供商提供了重新架构的数据库技术,将行数据存储与列式内存压缩相结合,可以处理大型数据集和分析查询,通常是在大量连续数据流上。技术的进步导致了大规模并行处理分析数据库的发展。本文介绍了当前数据库技术的一些细节,它们在不同应用环境中的优缺点,以及该领域的新趋势。
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引用次数: 14
Navigation support for old and handicapped persons in urban regions 城市老年人和残疾人导航支持
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812463
A. Iwainsky
Today navigation systems for automobiles are highly developed. Furthermore, also for pedestrians and users of public transport technical means for navigation support exist. However, there is a lack of help for handicapped persons. What are the reasons for this situation? The answer is simple: Handicapped persons are a target group for IT-technology that is small in comparison to all other users of navigation systems. Furthermore they demand another database with much more detailed path characteristics and partially other system functionality than conventional navigation systems. This paper describes the user-group-specific demands on technical navigation support and the co-operative development of a corresponding system in the frame of a R&D-project, funded by the German Federal Ministry for Education and Research. It concentrates on modelling the potentials and restrictions of movement opportunities of handicapped people and on route optimization.
今天,汽车导航系统已经高度发达。此外,还为行人和公共交通用户提供导航支持的技术手段。然而,对残疾人缺乏帮助。造成这种情况的原因是什么?答案很简单:与所有其他导航系统用户相比,残疾人是it技术的目标群体。此外,它们需要另一个数据库,该数据库具有比传统导航系统更详细的路径特征和部分其他系统功能。本文描述了在德国联邦教育和研究部资助的一个研发项目框架内,用户群体对技术导航支持的特定需求以及相应系统的合作开发。它侧重于模拟残疾人运动机会的潜力和限制以及路线优化。
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引用次数: 1
"Good Vibrations": a complete software solution for experimental, operational modal analysis and operating deflection shapes “良好的振动”:一个完整的软件解决方案,用于实验,操作模态分析和操作挠度形状
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812478
D. Herfert, M. Gollnick
This paper gives a complete overview about a new software for structural analysis. The software "Good Vibrations" is an innovative program for the calculation of vibrational properties of mechanical structures and buildings by means of the known methods of experimental (with selective excitation), operational (stochastic or environmental stimulus) modal analysis and operating deflection shapes (under given operating situations). Here, the vibrational properties are characterized by the modal parameters: natural frequencies, damping, mode shapes (deformation). Currently, it is the only software on the market that offers this comprehensive combination of algorithms. The results of structural analysis can be used directly for vibration analysis / optimization, to improve the associated FE (Finite Element)-model or for vibration based Structural Health Monitoring.
本文全面介绍了一种新的结构分析软件。软件“良好的振动”是一种创新的程序,用于计算机械结构和建筑物的振动特性,通过已知的实验方法(有选择性的激励),操作(随机或环境刺激)模态分析和操作挠度形状(在给定的操作情况下)。在这里,振动特性由模态参数表征:固有频率,阻尼,模态振型(变形)。目前,它是市场上唯一提供这种综合算法组合的软件。结构分析的结果可以直接用于振动分析/优化,以改进相关的有限元模型或基于振动的结构健康监测。
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引用次数: 1
Applying graph-based data mining concepts to the educational sphere 将基于图的数据挖掘概念应用于教育领域
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812436
András London, Áron Pelyhe, C. Holló, Tamás Németh
In this study, we discuss the possible application of the ubiquitous complex network approach for information extraction from educational data. Since a huge amount of data (which is detailed as well) is produced by the complex administration systems of educational institutes, instead of the classical statistical methods, new types of data processing techniques are required to handle it. We define several suitable network representations of students, teachers and subjects in public education and present some possible ways of how graph mining techniques can be used to get detailed information about them. Depending on the construction of the underlying graph, we examine several network models and discuss which are the most appropriate graph mining tools (like community detection and ranking and centrality measures) that can be applied on them. Lastly, we attempt to highlight the many advantages of using graph-based data mining in educational data against the classical evaluation techniques.
在本研究中,我们讨论了泛在复杂网络方法在教育数据信息提取中的可能应用。由于教育机构复杂的管理系统产生了大量的数据(也有详细的数据),而不是传统的统计方法,因此需要新型的数据处理技术来处理它。我们定义了公共教育中学生、教师和科目的几种合适的网络表示,并提出了一些可能的方法,说明如何使用图挖掘技术来获取有关他们的详细信息。根据底层图的构造,我们检查了几个网络模型,并讨论了哪些是可以应用于它们的最合适的图挖掘工具(如社区检测、排名和中心性度量)。最后,我们试图强调在教育数据中使用基于图的数据挖掘的许多优点,而不是传统的评估技术。
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引用次数: 8
Architecture of automated communication and data processing system for forensic medicine 法医学自动通信与数据处理系统体系结构
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812437
Borislav Banchev, Tsvetozar Georgiev
The paper introduces a blueprint for system that automates and facilitates the process of medico-legal exams and inquests. The system responsibilities are to mediate the communication between institutions and forensic doctors and to organize, store and archive tasks and data based on the legal regulations. Currently in Bulgaria and the Balkans there is no fully computerized solution which is the main reason for this paper. The system would allow examiners to focus on the actual medical work and not on the paper work. Key advantages of the system are the automation in the process, the communication with external systems and participants, the dynamic modelling of the processes and the security model that would keep patient privacy and data integrity.
本文介绍了一种自动化和简化法医学检验和调查过程的系统蓝图。系统职责是调解机构与法医之间的沟通,并根据法律规定对任务和数据进行组织、存储和归档。目前在保加利亚和巴尔干地区没有完全计算机化的解决方案,这是本文的主要原因。该系统将允许审查员专注于实际的医疗工作,而不是纸面工作。该系统的主要优点是过程中的自动化,与外部系统和参与者的通信,过程的动态建模以及保护患者隐私和数据完整性的安全模型。
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引用次数: 4
Solution for content interoperability among digital libraries for orthodox artefacts and knowledge 传统文物和知识的数字图书馆之间的内容互操作性解决方案
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812474
D. Paneva-Marinova, Maxim Goynov, Detelin Luchev, R. Pavlov
The paper presents a solution of content interoperability among three digital library systems keeping Orthodox artefacts and knowledge: Encyclopaedia Slavica Sanctorum Calendar, Bulgarian Iconographical Digital Library and Multimedia Fund "BellKnow". The content of these environments is naturally complementing each other and the proposed content interoperability aims to provide better access to the objects and knowledge for all of the target users and also to provide mutual content enrichment.
本文提出了保存东正教文物和知识的三个数字图书馆系统之间内容互操作性的解决方案:斯拉夫百科全书日历,保加利亚图像数字图书馆和多媒体基金“BellKnow”。这些环境的内容自然是相互补充的,建议的内容互操作性旨在为所有目标用户提供对对象和知识的更好访问,并提供相互的内容丰富。
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引用次数: 8
期刊
International Conference on Computer Systems and Technologies
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