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

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the Design of (Almost) Disjunct Matrices by Evolutionary Algorithms 7th

The Design of (Almost) Disjunct Matrices by Evolutionary Alg...

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7th international conference on the theory and Practice of Natural Computing (TPNC)

作者： Knezevic, Karlo Picek, Stjepan Mariot, Luca Jakobovic, Domagoj Leporati, Alberto Univ Zagreb Fac Elect Engn & Comp Zagreb Croatia Delft Univ Technol Cyber Secur Res Grp Delft Netherlands Univ Milano Bicocca Dept Informat Syst & Commun Milan Italy

ISBN: (纸本)9783030040703;9783030040697

Disjunct Matrices (DM) are a particular kind of binary matrices which have been especially applied to solve the Non-Adaptive Group Testing (NAGT) problem, where the task is to detect any configuration of t defectives out of a population of N items. Traditionally, the methods used to construct DM leverage on error-correcting codes and other related algebraic techniques. Here, we investigate the use of Evolutionary Algorithms to design DM and two of their generalizations, namely Resolvable Matrices (RM) and Almost Disjunct Matrices (ADM). After discussing the basic encoding used to represent the candidate solutions of our optimization problems, we define three fitness functions, each measuring the deviation of a generic binary matrix from being respectively a DM, an RM or an ADM. Next, we employ Estimation of Distribution Algorithms (EDA), Genetic Algorithms (GA), and Genetic programming (GP) to optimize these fitness functions. the results show that GP achieves the best performances among the three heuristics, converging to an optimal solution on a wider range of problem instances. Although these results do not match those obtained by other state-of-the-art methods in the literature, we argue that our heuristic approach can generate solutions that are not expressible by currently known algebraic techniques, and sketch some possible ideas to further improve its performance.

关键词： Evolutionary computing Disjunct matrices Resolvable matrices Almost disjunct matrices Group testing Estimation of distribution algorithms Genetic algorithms Genetic programming

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Hindi Handwritten Character Recognition using Multiple Classifiers 7

Hindi Handwritten Character Recognition using Multiple Class...

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7th international conference on Cloud Computing, Data Science and Engineering (Confluence)

作者： Yadav, Madhuri Purwar, Ravindra USICT GGSEPU Delhi India

ISBN: (纸本)9781509035199

Humans can easily recognize handwritten words, after gaining basic knowledge of languages. this knowledge needs to be transferred to computers for automatic character recognition. the work proposed in this paper tries to automate recognition of handwritten hindi isolated characters using multiple classifiers. For feature extraction, it uses histogram of oriented gradients as one feature and profile projection histogram as another feature. the performance of various classifiers has been evaluated using theses features experimentally and quadratic SVM has been found to produce better results.

关键词： Transportation Supply and demand programming Linear programming Approximation algorithms Resource management

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Building a Simulated Blockly-Arduino-Based programming Learning Tool: A Preliminary Study

Building a Simulated Blockly-Arduino-Based Programming Learn...

引用

IIAI international conference on Advanced Applied Informatics (IIAIAAI)

作者： Jun-Ming Su Ting-Wei Lin Department of Information and Learning Technology National University of Tainan Tainan Taiwan

ISBN: (纸本)9781538674482;9781538674475

programming learning using the programmable Hardware devices (aka Hardware programming Learning) is a popular approach to motivate and encourage k12 students to carry out the learning by doing. However, most of Hardware packages lack the efficient learning materials or tools with the simulation and visualization to assist the programming learning, which may lead to that k12 students find it difficult to learn and feel frustrated after the many attempts of try-and-error. therefore, in this preliminary study, a Simulated Blockly-Arduino-based programming Learning Tool, (SimBA-PLT), is designed and developed to facilitate the hands-on programming learning using Arduino-based hardware. In SimBA-PLT, students are able to visually program the blockly-based code to virtually perform the simulation of the Arduino-based hardware in advance. Afterwards, the Arduino-based hardware can be actually controlled by the Arduino-based code translated from the correct blockly-based code for facilitating the hardware programming learning. the learning motivation and performance will be expected to outperform the learning methods without the simulation.

关键词： Hardware programming profession Tools Visualization Education Computer languages

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Optimization Model and Algorithm for Dynamic Service-Aware Traffic Steering in Network Functions Virtualization

Optimization Model and Algorithm for Dynamic Service-Aware T...

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7th IEEE international conference on Communications and Electronics (IEEE ICCE)

作者： thi-thuy-Lien Nguyen Tuan-Minh Pham Hanoi Natl Univ Educ VNU Univ Engn & Technol Hanoi Vietnam Thuyloi Univ Hanoi Vietnam

ISBN: (纸本)9781538636794

Network Functions Virtualization (NFV) has emerged as a paradigm for efficient, flexible and agile network function provisioning. In such NFV-based networks, ensuring network performance and cost efficiency is an important challenge to tackle when network traffic is steered through a chain of virtual network functions (VNF). In this work, we consider the dynamics of traffic demand in different time periods, and multipath routing for minimizing the routing cost in NFV. We focus primarily on optimization models and algorithms for finding a traffic steering solution that effectively splits a demand volume into several flows and selects appropriate links and nodes for these flows. We formulate the problem as a mixed linear integer programming model for obtaining an optimal solution taking into account the dynamics of service demand, multipath routing and service function chaining. For the large scale problem, we propose a heuristic algorithm to find an approximation solution. Particularly, our proposed model and algorithm allows a controller to update a link weight system for effectively steering traffic demand to appropriate nodes in a NFV infrastructure. the evaluation results show that our approach to traffic steering significantly improves a number of major performance metrics including the routing cost, the maximum link utilization, and the accepted demands. In addition, the approximation solution is very close to the optimal solution.

关键词： Network Functions Virtualization traffic steering integer programming dynamic service demand service function chaining

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Analysis of roughness profile on curved surfaces 3

Analysis of roughness profile on curved surfaces

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3rd international Scientific conference on Innovative Technologies in Engineering Production (ITEP)

作者： Drbul, Mario Martikan, Pavol Broncek, Jozef Litvaj, Ivan Svobodova, Jaroslava Univ Zilina Fac Mech Engn Univ 1 Zilina 01026 Slovakia Univ Zilina Fac Elect Engn Univ 1 Zilina 01026 Slovakia JE Purkyne Univ Usti & Labem Fac Mech Engn Pasteurova 7 Usti Nad Labem 40096 Czech Republic

Production and control of accurate surface bring some issues. there are some technological limits of machining, but we have to know how to control these machined surfaces due to functional and life-time properties, which are affected mainly by roughness surface. Most important part of system of roughness surface measuring is suppression of nominal shape of scanned profile, its filtration according to standard ISO 4288 and evaluation according to the relevant standards. this article described process of filtration of roughness surface profile. If operator of the measuring instrument omits some important aspects at this stage, we obtain incorrect roughness surface profile, which significantly distorts the results of measurement leading to a rough error. the article is aimed at verifying roughness meters and indicates if a certain amount of data would be lost as if this loss affected the measurement result. Objectively, such a loss of data was simulated in the evaluation by considering every 7th scanned point at constant velocity of measurement.

关键词： roughness surface filter wavelength

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Effects of Cognitive Styles on Learning Performance and Gaming Behavior in a programming Board Game

Effects of Cognitive Styles on Learning Performance and Gami...

引用

IIAI international conference on Advanced Applied Informatics (IIAIAAI)

作者： Jung-Chuan Yen Wei-Chi Liao Department of Mathematics and Information Education National Taipei University of Education Taipei Taiwan

ISBN: (纸本)9781538674482;9781538674475

the aim of the study was to examine the effects of different cognitive styles on the elementary students' learning performance and play behavior in a programming board game. this quasi-experimental design study lasted two weeks with 3 hours per week. the subjects were 25 field-independent and field-dependent 6th grade students (assessed by the Group Embedded Figures Test) who participated in a learning programming board game course. An ANCOVA (analysis of covariance) and t-test analysis were performed on the definitive test data. Conclusions of the findings are as follows. First, in the programming board game, field-independent learners achieved significantly improved learning outcomes over field-dependent learners. Second, although no significant difference was found in gaming behavior between field-independent and field-dependent learners, the field-independence group demonstrated more learning behavior related to the execution of complex thinking. this study suggests to provide differentiated instruction for learners of different cognitive styles, should be more to enhance the effectiveness of programming performance and positive gaming behavior.

关键词： Games programming profession Education Computer bugs Computer languages

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A Propriety Multiplatform Game-Based Learning Game to Learn Object-Oriented programming

A Propriety Multiplatform Game-Based Learning Game to Learn ...

引用

IIAI international conference on Advanced Applied Informatics (IIAIAAI)

作者： Yoke Seng Wong Maizatul Hayati Mohamad Yatim Sch. of Comput. & Creative Media KDU Univ. Coll. Shah Alam Malaysia Universiti Pendidikan Sultan Idris Tanjung Malim Perak Darul Ridzuan MY

ISBN: (纸本)9781538674482;9781538674475

In order to understand the important of object-oriented programming in tertiary level, a propriety game-based learning multiplatform game has been designed and develops as a learning tool to improve the student understanding toward object-oriented programming paradigm such as encapsulation, abstraction, inheritance and polymorphism. the proposed game is a 2D role-playing game in computer and mobile platform that allow players to learn Object-Oriented programming in an interaction way. Players will play along the flow of each game world and they will learn object-oriented programming paradigm subconsciously. Total of 214 undergraduate year one student had been participate to this research to determine the proposed game that design based on game-based learning approach is able to improve their understanding toward object-oriented programming paradigm compare to the traditional teaching and learning method. thus, this paper is a research paper of an academic who worked with game designers, game developer to design and develop a propriety game-based learning game for learning object-oriented programming.

关键词： Games programming profession Object oriented programming Encoding Gears Education

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Visualizing Situations: Comparing Comprehension and Emotion between Simple and Detailed Dining Situation Sketches 7th

引用

7th international conference on Kansei Engineering and Emotion Research, KEER 2018

作者： Bao, Suomiya Koyama, Shinichi Yamanaka, Toshimasa University of Tsukuba Tennodai 1-1-1 TsukubaIbaraki Japan

ISBN: (纸本)9789811086113

Situation is considered as an important factor in psychological re-search, and the principle of situation research is still being established in recent years. It is important to take situations into consideration in design psychology, affective engineering and Kansei study as well. However, there are few tools and measurement methods to categorize, present or assess situations. Various researches that applied visualized situations can be found, but the design simplicity of the images (visualized situations) was not discussed or treated as a factor. In this paper, we proposed a way of using visualized situations to evaluate participants’ (48) comprehension and emotion in different dining situations. the design simplicity of the visualized situations and gender are considered as two main factors. Two-way ANOVA and independent t-test yielded significant differences in both comprehension and evoked emotions. Both design simplicity and gender indicated significant main effects and interactions in specific items of the measurement. the results suggest that how simple the visualized situations are could influence the understanding and feeling on the situations. Gender should also be taken into consideration. Based on the results, we intend to improve and achieve a better design of visualized situation tool for psychological, design and Kansei research in future study. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Computer programming

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A Kansei Approach to Investigate Mobile Apps Requirements for Muslim Women Tourist 7th

引用

7th international conference on Kansei Engineering and Emotion Research, KEER 2018

作者： Suhaimi, Amiza Nadwa Muhammad Lokman, Anitawati Mohd Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Malaysia

ISBN: (纸本)9789811086113

the objective of this paper is to report a study for the needs of Muslim women tourist. Past literature indicates that while the statistic of this group of tourists is very encouraging, study to look into the specific needs of the Muslim women tourist’s needs is lacking. It shows that current technology support doesn’t meet the specific expectation and experience of Muslim women tourist, and often this tourist has to compromise their moral codes, or their target travel experience gone bad. To understand the gap, an emotional approach is proposed, using qualitative approach and interview to Muslim women in Malaysia. the respondents were selected using specific criteria that includes they have experience travelling in locally and internationally. the result can be used as a design concept in producing application that can help to increase the emotional experience and satisfaction of Muslim women tourist during travelling. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Computer programming

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Genetic programming and K-Nearest Neighbour Classifier Based Intrusion Detection Model 7

Genetic Programming and K-Nearest Neighbour Classifier Based...

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7th international conference on Cloud Computing, Data Science and Engineering (Confluence)

作者： Malhotra, Shweta Bali, Vikram Paliwal, K. K. PIET CSE Dept Samalkha Panipat India PIET Samalkha Panipat India

ISBN: (纸本)9781509035199

Incomputer networks, Intrusion Detection has become a major concern. In network security, various traditional techniques like intrusion prevention, cryptography and user authentication are unable to detect establishment of novel attacks. An intrusion detection systemis helpful in detecting an unusual intruder which cracks into the system or genuine user mistreating the system. Intrusion Detection System continually runs in the background and when any suspicious or obtrusive event occurs then it warns the user. To implement these systems various researchers introduced numerous machine learning techniques like Decision Trees, Support Vector Machines, Artificial Neural Networks, Linear Genetic programming, Genetic Algorithms, Fuzzy Inference Systems, Rule Based Approach and their ensemble approaches with the intent to predict the data either normal or *** this paper genetic programming with K-Nearest Neighbor classifier is proposed so as to build an efficient Intrusion Detection Model. Optimal feature selection task is performed by genetic programming whereas the data mining classifier which performs the classification process is K-Nearest Neighbour. the main aim of genetic programming is to aid K-Nearest Neighbour. the experimental result shows that the validation accuracy for detecting attacks is 99.6%.

关键词： KDD cup 99 Intrusion Detection Anomaly Detection Misuse Detection Genetic programming and K-NN

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