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检索条件"任意字段=7th International Conference on Functional Programming"

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Issues and Challenges for Teaching Successful programming Courses at National Secondary Schools of Malaysia 7th

Issues and Challenges for Teaching Successful Programming Co...

引用

7th international conference on Computational Science and Technology, ICCST 2020

作者： Salleh, Faridah Hani Mohamed Dewi, Deshinta Arrova Liyana, Nurul Azlin Department of Computing College of Computing & Informatics Universit Tenaga Nasional Jalan IKRAM-UNITEN Kajang Selangor Malaysia INTI International University Persiaran Perdana BBN Putra Nilai Nilai Negeri Sembilan71800 Malaysia College of Graduate Studies Universiti Tenaga Nasional Jalan IKRAM-UNITEN Kajang Selangor Malaysia

ISBN: (纸本)9789813340688

Undoubtedly, the initiative of the Malaysia education ministry to introduce coding in school curricula is a very good effort with lots of advantages. Able to code will be an advantage and a necessity when the students join the workforce. After not small amount of budget and time has been spent by the country for this mission, there are several issues that need to be considered and worked on to ensure coding lessons in schools achieves the target. this paper presents six issues and the recommended solutions that do not require a change to the current educations system as frequent changes in national education policy will burden teachers, parents and students. the identified issues are from the perspective of language of communication, implementation and execution, digital divide, quality tools, assessments and teaching and learning time. this works suggests to create a self-learning system built specifically for the national secondary schools’ syllabus, short-term job exemption for teachers and programming skill test to replace project as part of assessments to increase the rate of teaching effectiveness of Computer Science subjects, especially programming. this study will be of great important to educational planners, school authorities, educational researchers and the governments. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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Logibot: Investigating Engagement and Development of Computational thinking through Virtual Reality

Logibot: Investigating Engagement and Development of Computa...

引用

Immersive Learning Research Network (iLRN), conference of the

作者： Robert Sims Nathan Rutherford Prashanthy Sukumaran Nikola Yotov thomas Smith Abhijit Karnik School of Computing and Communicatuions Lancaster University Lancaster United Kingdom

In this study we assess the effects of teaching fundamental programming concepts through a virtual reality (VR) block-based programming application and its impact on engagement. As a comparison study, participants played an existing desktop-based game (LightBot) and the developed VR game (LogiBot) covering similar gameplay mechanics and block-based programming. Initial results indicate that traditional desktop applications are currently more engaging than VR for teaching programming. We thus identify the need for careful design of interaction methods to support ease of use and reward factors to promote engagement in VR-based learning applications beyond the initial wow-factor.

关键词： Design methodology Education Games Virtual reality programming Tools

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Abstract thinking Description System for programming Education Facilitation 7th

Abstract Thinking Description System for Programming Educati...

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7th international conference on Learning and Collaboration Technologies (LCT)

作者： Matayoshi, Yasutsuna Nakamura, Satoshi Meiji Univ Tokyo Japan

ISBN: (纸本)9783030505059;9783030505066

programming courses in universities generally teach how to solve problems. However, there are many beginners who fail to make programming well. this is because the beginners cannot be aware of abstract thinking related to the structure of the program, and cannot share abstract thinking with their instructors. In this paper, we propose a method to describe the structure of a program with native language comments in the code tree view and to simply change the structure of the program and the source code by drag-and-drop operation in the code-tree. With this method, beginners can easily organize their thoughts, and instructors can understand the level of understanding and thinking of beginners. We constructed a prototype system using our proposed method. the experiment indicated that it was possible to deepen the understanding of the beginners and utilize it for teaching.

关键词： Abstract thinking programming education programming UX

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the Role of Virtual Reality in Story telling and Data Visualization for motivating students in learning programming 7

The Role of Virtual Reality in Story telling and Data Visual...

引用

7th international conference on Information Technology Trends (ITT)

作者： Paul, Sujni Hamad, Saif Higher Coll Technol Comp Informat Sci Dubai U Arab Emirates

ISBN: (纸本)9781728183787

this paper addresses the instructional design of a virtual reality (VR)-oriented educational storytelling and data visualization system. All of us are aware of the importance of storytelling in education. Stories are ubiquitously used as powerful tools in teaching and learning especially during a pandemic situation like this where everything goes online. We are exploring the current practices in both Non VR based storytelling and VR based storytelling. A prototype is developed to construct data visualization and storytelling. this story telling system aims to deliver programming languages to the targeted learners. Students will be engaged and have the interest in working on programming by themselves as they visualize their output immediately.

关键词： virtual reality programming storytelling data visualization

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Various Modulation Types Classification on the Air by Convolutional Neural Network 23

Various Modulation Types Classification on the Air by Convol...

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Proceedings of the 7th international conference on Future Networks and Distributed Systems

作者： Yousif I Hammadi Mokhalad Abdulameer Kadhim Alsaeedi Omar Abdulkareem Mahmood Aws Zuhair Sameen Mohammed Saleh Ali Muthanna Ahmed Aziz Ammar Muthanna Dep. of Medical Instruments Engineering Techniques Bilad Alrafidain University College Iraq Department of Communications Engineering University of Diyala Iraq Department of Medical Instrumentation Engineering Techniques Al-Farahidi University Iraq Institute of Computer Technologies and Information Security Southern Federal University Russia Department of computer science Benha university Egypt and International Business Management Department Tashkent State University of Economics Uzbekistan Department of Telecommunication Networks and Data Transmission The Bonch Bruevich Saint Petersburg State University of Telecommunications Russia and Department of Applied Probability and Informatics Peoples Friendship University of Russia Russia

ISBN: (纸本)9798400709036

Deep learning (DL), a relatively recent AI technique, has been successfully applied to the problem of automated modulation categorization (AMC), with promising results. An essential part of developing the spectrum-sensing capabilities needed by software-defined radio is carrying out radio signal classification jobs, which we did in this research by introducing a better deep neural architecture. Different detection techniques were utilized in the literature; however, DL neural networks are recently utilized in this field. Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) which is one variation of the RNN network, and other techniques are some of the employed DL architectures in the field of AMC. In this paper, Convolutional Neural Network (CNN) model has been built to automatically classify ten-modulation formats correctly. the suggested CNN network is constructed mainly of six-Convolutional layers. the overall number of trainable parameters in the proposed network is 1,757,962. thus, the network accuracy, which was achieved during the training reached more than 90%. Python programming packages have been used to implement the suggested approach using *** platform, which provides wide-range of facilities.

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Optimization on the Financial Management of Banks with Two-Stage Goal programming Model 1

引用

7th international conference on Computational Science and Technology, ICCST 2020

作者： Siew, Lam Weng Hoe, Lam Weng Wai, Chen Jia Department of Physical and Mathematical Science Faculty of Science Universiti Tunku Abdul Rahman Kampar Perak Malaysia Centre for Business and Management Universiti Tunku Abdul Rahman Kampar Perak Malaysia

ISBN: (数字)9789813340695

ISBN: (纸本)9789813340688

the strategic planning is important in bank financial management. the banks and financial institutions have to achieve multiple goals in optimizing asset, liability, equity, earnings, profit and optimum management item. the subjective judgment in assigning weight of the goals is a drawback in financial management of the banks since it may cause inconsistent judgment. In addition, there are no comprehensive studies done on comparison among the banks for benchmarking based on the past studies in optimizing the financial management. Hence, this paper aims to improve the bank financial management by proposing a two-stage goal programming (GP) model to compare and optimize the bank financial management. the proposed model is developed based on entropy method in determining the weight of the goal at the first stage before optimizing the financial management with GP model at the second stage. Four listed banks in Malaysia are investigated in this study. the results indicate that the goal for asset, equity and optimum management item have been achieved by all banks. Furthermore, the target value of asset, equity, earning and profit can be increased according to the optimal solution of the proposed model. the significance of this paper is to provide insights to the banks for further improvement based on the optimal solution of the proposed model. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Goal programming

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An Effect of pH on Radiation Assisted Modification of Oxygen-Rich Activated Carbon by Urea 10th

An Effect of pH on Radiation Assisted Modification of Oxygen...

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10th international conference on Advanced Materials and Engineering Materials, ICAMEM 2021 and 7th international conference on Mechanical Structures and Smart Materials, ICMSSM 2021

作者： Chutimasakul, threeraphat Phonlam, Tinutda Chobpattana, Varistha Lertsarawut, Pattra Kingkam, Wilasinee Laksee, Sakchai Kwamman, Tanagorn 9/9 Moo 7 Ongkharak Nakhon Nayok Saimoon26120 Thailand Department of Materials and Metallurgical Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi 39 Moo1 Klong 6 Thanyaburi Pathum Thani12110 Thailand

ISBN: (纸本)9783035718775

Activated carbons (ACs) are a versatile group of adsorbents for water pollution control, especially organic dyes. Harsh chemicals and high temperatures are required for the activation process of ACs, which becomes a significant concern due to their toxicity and harmful effects on human health and the environment. Gamma irradiation, an alternative green technique, is a promising strategy for pretreatment and escalates the nitrogen or oxygen functional group of ACs. the current study provides the modification of ACs by the gamma irradiation in the various pH (5-11) of urea solution. the modified ACs were characterized by scanning electron microscopy (SEM), nitrogen gas adsorption-desorption analysts (BET), temperature program desorption (TPD), Fourier-transform infrared spectroscopy (FTIR), Raman spectroscopy, and X-ray diffraction spectroscopy (XRD). the point of zero charges and dye adsorption capacities were determined. this finding demonstrates that the ACs can be modified by gamma irradiation at 25 kGy in the urea solution media. the degree of graphitization enhanced significantly at pH 11(AC-pH11). the oxygen-rich functional groups created by radiation assists could enhance the electrostatic attraction between acid gases or cationic dyes. AC-pH11 also was able to adsorb methylene blue (160.73 ± 1.70 mg/g) greater than methyl orange (127.57 ± 2.22 mg/g). © 2021 Trans Tech Publications Ltd, Switzerland.

关键词： Oxygen

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Computing a lower bound for the solution of a Robotic Process Automation (RPA) problem using network flows 7

Computing a lower bound for the solution of a Robotic Proces...

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7th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Benkalai, Imene Seguin, Sara Tremblay, Hugo Glangine, Geoffrey Univ Quebec Chicoutimi Dept Comp Sci & Math Saguenay PQ Canada GERAD Saguenay PQ Canada

ISBN: (纸本)9781728159539

Robotic process automation (RPA) helps companies reduce the time required to process tasks by using software or robots to mimic human actions on graphic interfaces. In this paper, the RPA problem is solved for a financial institution. A set of different types of financial transactions are to be processed with different processing times, volumes, market hours and clearance delays. In a previous work, a two-phase linear integer model was used to solve the problem on small instances. In this study, a network flow algorithm is used to compute a lower bound for the problem, thus reducing the computational time required to obtain a solution. the method is tested on a real case provided by a bank in North America and on synthetic test cases containing a greater number of transaction types. Results show that combining the computation of the lower bound with a linear integer model is faster and more practical.

关键词： Robotic process automation integer programming network flows optimization

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Ensuring the properties of functional stability of manufacturing processes based on the application of neural networks 7

Ensuring the properties of functional stability of manufactu...

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7th international conference "Information Technology and Interactions", IT and I 2020

作者： Sobchuk, Valentyn Olimpiyeva, Yuliya Musienko, Andrii Sobchuk, Andrii State University of Telecommunications Solomianska str.7 Kyiv03110 Ukraine National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Victory Avenue 37 Kyiv01033 Ukraine Taras Shevchenko National University of Kyiv Volodymyrska St. 60 Kyiv03056 Ukraine

A large number of different publications in the field of functional stability of complex technical systems and in the field of artificial intelligence, namely neural networks, determines the need for analysis of results and their understanding in terms of assessing the feasibility of combining these areas. the characteristics of the behavior of complex technical systems that implement the property of functional stability of these systems are studied in the work. the article presents the definition of functionally stable production process of industrial enterprises and the criterion for ensuring its functional stability. Ensuring the functional stability of production processes is an important issue today. At present, many different methods have been proposed to ensure a high level of functional stability, but they need to be constantly changed and improved. Neural networks are a tool that allows you to create a deep hierarchy of decisions based on the location, type and level of the defect that occurred in the control system and, as a consequence, can be effectively used to solve this problem. therefore, the article considers the features of the main provisions of the theory of artificial intelligence, namely neural networks, to ensure the functional stability of production processes of industrial enterprises. Based on the analysis, the article explores the possibilities of using neural networks to diagnose the state of systems and the practical application of neural network tools to detect and localize defects in systems, which is the key to ensuring the functional stability of production processes. the method of ensuring the properties of functional stability of the enterprise information system has been improved. Promising ways of further research in this area may be a wide range of issues related to the development of new and improvement of existing methods of ensuring the functional stability of production processes of enterprises, including means of artificial

关键词： Complex networks

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Event-Triggered Filter of Switched Positive Systems with State Saturation 7

Event-Triggered Filter of Switched Positive Systems with Sta...

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7th international conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

作者： Shao, Yu Jiao, Chenxu Zhang, Suhuan Zhang, Junfeng School of Automation Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781728162461

this paper investigates the event-triggered filter of switched positive systems subject to state saturation. First, a filter is constructed for switched positive systems. An error system is obtained by combining the switched systems and the filter. Under the event-triggering condition, the error system is transformed into an interval system. Linear programming is employed to design the gain matrices of the filter. Accordingly, the positivity and stability of the error system are guaranteed by virtue of the corresponding issues of the interval system. A cone based domain of attraction is constructed for the invariant property of the system. Finally, an example is proposed to verify the validity of the theoretical findings. © 2020 IEEE.

关键词： Linear programming

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