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

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Online Adaptive Dynamic programming Control of Urban Open-channel Flow System 7

Online Adaptive Dynamic Programming Control of Urban Open-ch...

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7th international conference on Information Science and Technology (ICIST)

作者： Zhong, Zhiguang Ouyang, Yuxuan Yang, Qinmin Ningbo Univ Coll Sci & Technol Ningbo Zhejiang Peoples R China Zhejiang Univ Coll Control Sci & Engn Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781509054015

An online adaptive dynamic programming (ADP) design is proposed for the control of urban open-channel flow systems, whose topographic parameters are not assumed to be accessible. According to the Saint-Venant continuity equation, a simplified model is firstly built. Subsequently, an adaptive dynamic programming control scheme is implemented, whose purpose is to track the desired water level, as well as to decrease the control cost. the design contains two RBF neural networks (NN). One action NN is employed to generate the control signal. Another critic NN is designed to approximate the long-term cost function. the two NNs are coordinated to approach an optimal solution. Finally, the adaptive dynamic programming controller is validated in rainstorm situation in simulation environment. the results demonstrate that the designed scheme outperforms the traditional PID counterpart.

关键词： Adaptive dynamic programming open-channel flow unknown system neural networks

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Dynamic Channel Allocation in Small Cells

Dynamic Channel Allocation in Small Cells

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international conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Gadiraju Divija Swetha Jitender Grover Garimella Rama Murthy Signal Processing and Communication Research Center International Institute of Information Technology Hyderabad India

ISBN: (纸本)9781538646939

the inter-cell interference coordination techniques which include frequency reuse and Dynamic Channel Allocation (DCA) play a vital role in improving the spectrum efficiency. the techniques of frequency reuse are very sophisticated. Depending on the traffic demand, channels allocated to each cell is varied in DCA. In OFDM based cellular systems, the channel information and interference signals can be measured easily whose knowledge is essential for DCA. Hence, in OFDM systems, DCA can improve the spectral efficiency to a great extent. the next generation cellular systems would incorporate small cell (Micro, Pico and Femto) base stations for extensive frequency reuse and spectrum utility. they would also include millimeter wave (mmWave) for communication i.e. 5G cellular networks. DCA techniques in such a HetNet would improve the efficiency to a great extent. With the development of Software Defined Mobile Networking (SDMN), the protocol-specific features of mobile networks for various radio access technologies can be carried out with software improving the functionality of network. thus, the implementation of DCA techniques becomes less complex. In this paper, DCA in small cells with respect to three cases namely spatial, temporal and spatio-temporal allocation is proposed. the problem formulated for DCA is solved using integer linear programming (ILP) technique and the solution is an effective prediction based model to optimize the channel allocation problem. Simulation results show the performance for various number of available resources and number of cells for allocation.

关键词： Channel allocation Dynamic scheduling Resource management Heuristic algorithms Interference Base stations OFDM

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Real-time Learning Analytics for C programming Language Courses 17

Real-time Learning Analytics for C Programming Language Cour...

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7th international Learning Analytics and Knowledge conference (LAK)

作者： Fu, Xinyu Shimada, Atsushi Ogata, Hiroaki Taniguchi, Yuta Suehiro, Daiki Kyushu Univ Grad Sch Informat Sci & Elect Engn Fukuoka Japan Kyushu Univ Fac Arts & Sci Fukuoka Japan

ISBN: (纸本)9781450348706

Many universities choose the C programming language (C) as the first one they teach their students, early on in their program. However, students often consider programming courses difficult, and these courses often have among the highest dropout rates of computer science courses offered. It is therefore critical to provide more effective instruction to help students understand the syntax of C and prevent them losing interest in programming. In addition, homework and paper-based exams are still the main assessment methods in the majority of classrooms. It is difficult for teachers to grasp students' learning situation due to the large amount of evaluation work. To facilitate teaching and learning of C, in this article we propose a system-LAPLE (Learning Analytics in programming Language Education)-that provides a learning dashboard to capture the behavior of students in the classroom and identify the different difficulties faced by different students looking at different knowledge. With LAPLE, teachers may better grasp students' learning situation in real time and better improve educational materials using analysis results. For their part, novice undergraduate programmers may use LAPLE to locate syntax errors in C and get recommendations from educational materials on how to fix them.

关键词： C programming programming education learning analytics information visualization learning dashboard

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Enhancing the Performance of Parallel N-Body Simulation 7

Enhancing the Performance of Parallel N-Body Simulation

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7th IEEE international Advance Computing conference (IACC)

作者： Al-Mouhamed, Mayez A. Mohammad, Nazeeruddin Khan, Majid A. KFUPM Dept Comp Engn Dhahran Saudi Arabia PMU Dept Comp Engn Al Khobar Saudi Arabia

ISBN: (纸本)9781509015603

Solving large-scale problems in a variety of scientific and engineering fields requires efficient hierarchical methods to exploit parallelism. In this paper we present optimizations to enhance the performance of parallel N-body simulations (NBS) using the Barnes Hut approximation for a 60-core MIC accelerator. We focus on two sources of performance degradation in NBS: (1) the semi-static parallelism which leads to dynamic load unbalancing and (2) the processing of very large data exceeding the cache capacity. A first proposed optimization is to dynamically balance the load by computing load in an iteration as an estimate for the load in the next iteration. this optimization helps in even distribution of the load for the next iteration. the second proposed optimization subdivides the data into well-adjusted chunks to enhance data reuse in shared caches. the proposed optimizations are tested on a 60-core MIC accelerator. Evaluation results showed that optimized NBS produces a speedup of up to 33% due to dynamic load balancing and 260% due to enhanced cached data reuse.

关键词： N-Body Simulations Cache Reuse Many Integrated Core (MIC) Load Balancing Parallel programming

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Uncovering Reviewing and Reflecting Behaviors From Paper-based Formal Assessment 17

Uncovering Reviewing and Reflecting Behaviors From Paper-bas...

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7th international Learning Analytics and Knowledge conference (LAK)

作者： Hsiao, I-Han Huang, Po-Kai Murphy, Hannah Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85281 USA Arizona State Univ WP Carey Sch Business Tempe AZ USA

ISBN: (纸本)9781450348706

In this paper, we study students' learning effectiveness through their use of a homegrown educational technology, Web programming Grading Assistant (WPGA), which facilitates grading and feedback delivery of paper-based assessments. We designed a classroom study and collected data from a lower-division blended-instruction computer science class. We tracked and modeled students' reviewing and reflecting behaviors from WPGA. the results show that students demonstrated an effort and desire to review assessments regardless of if they were graded for academic performance or for attendance. Hardworking students achieved higher exam scores on average and were found to review their exams and the correct questions frequently. Additionally, student cohorts exhibited similar initial reviewing patterns, but different in-depth reviewing and reflecting strategies. Ultimately, this work contributes to the aggregation of multidimensional learning analytics across the physical and cybersphere.

关键词： Feedback Reflection programming Learning Computing Education Cross LAK Orchestration Technology Blended Instruction Classes

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Quadratic programming implementations of model predictive control on arduino for BLDC speed control 7

Quadratic programming implementations of model predictive co...

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7th IEEE international conference on System Engineering and Technology, ICSET 2017

作者： Rohman, Arief Syaichu Prasetyo, Hanif Fauzan Laboratory for Control and Computer Systems School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung West Java40132 Indonesia

ISBN: (纸本)9781538603833

Many physical process systems have performance limitation regardless the input. this limitation usually occurs in the form of input saturation of actuator as the constraint of the system. To overcome this problem, Model Predictive Control (MPC) may be used due to its capability to compute optimal control signal in the presence of input saturation. the optimal control signal is obtained by solving a quadratic programming (QP) problem with variables' constraints at each time instants. QP problem with lower and upper constraint is known to be equivalent to an algebraic loop involving diagonal upper and lower saturation. Hence, QP can be iteratively computed until its solution converges. A slow computation of QP, however, limits its applications for fast systems with simple digital processor. therefore, in order to be able to be implemented in real-time embedded applications, a fast algorithm of QP solver is in need. In this paper, a comparison study of two QP implementation, i.e. Projected Gauss Seidel (PGS) and so called Algorithm-2, using Arduino Mega 2560 is presented. In this case, MPC with QP solver using both algorithms is implemented to control the speed of lightly loaded BLDC motor. Before implementation, system modeling, controller designing, and simulation are undertaken. the performance of both iterative algorithms are then compared in terms of average computation time in the simulation and implementation. It can be observed from the results that Algorithm-2 gives a bit faster computation than PGS under same conditions. © 2017 IEEE.

关键词： Model predictive control

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Big Data Technology for Comparative Study of K-Means and Fuzzy C-Means Algorithms Performance

Big Data Technology for Comparative Study of K-Means and Fuz...

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international conference on Computer and Communication Engineering, ICCCE

作者： Nurhayati T. S. Kania L. K. Wardhani N. Hakiem Busman Haris Maarif Department of Informatics Syarif Hidayatullah State Islamic University Jakarta Indonesia Department of Management School of Economics Gotong Royong Jakarta Indonesia Kulliyyah of Engineering International Islamic University Malaysia Kuala Lumpur Malaysia

Big data is technology that has the ability to manage very large amounts of data, in very fast time to allow real-time analysis and reactions. Several clustering methods which are used to group data are Fuzzy C-Means (FCM) and K-Means Clustering. K-Means Clustering algorithm is a method of partitioning existing data into two or more group. this research goal was to compare the performance of K-Means and Fuzzy C-Means algorithms in clustering data using big data technology. In this research, Hadoop and Hive were chosen the big data technology. the knowledge of Shia history on student and lecturer of Syarif Hidayatullah State Islamic University Jakarta were the data which used in this research, the testing was done by constructing application K-Means Fuzzy C-Means using Java language, Hadoop and Hive and then test the performance of K-Means and Fuzzy C-Means algorithms in data clustering. It compares both algorithms in terms of accuracy, execution time, and time complexity of the algorithms. In the application K-Means Fuzzy C-Means, evaluation were performed with data filter and the average accuracy difference result of K-Means and Fuzzy C-Means is 8.03% with the better accuracy owned by K-Means. the average execution time difference is 718.58 ms, which K-Means was faster than is Fuzzy C-Means. the time complexities of both algorithms have the same value O(n2) and the Big O equation resulted in an average difference of 93,568 with the smallest value on K-Means. thus, K-Means algorithm is better than the Fuzzy C-Means in terms of accuracy, execution time, and the time complexity.

关键词： Clustering algorithms Big Data Linear programming Filtering History Data mining Real-time systems

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A MILP approach for the joint simulation of electric control reserve and wholesale markets 7

A MILP approach for the joint simulation of electric control...

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7th international conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2017

作者： Breithaupt, Timo Leveringhaus, thomas Rendel, Torsten Hofmann, Lutz Institute of Electric Power Systems Leibniz Universität Hannover Welfengarten 1 D-Hanover30161 Germany

ISBN: (纸本)9789897582653

A mixed integer linear programming (MILP) approach for the joint simulation of electric control reserve and electricity wholesale markets is described. this generation dispatch model extends an existing integrated grid and electricity market model covering the Continental European electric power system. By explicitly modelling the markets for primary and secondary control reserve, the model can reproduce the decisions of generating unit operators on which markets to get involved. Besides, the introduction of integrality conditions allows considering start-up costs and the calculus of generating units to pass through economically unattractive periods with low or even negative prices in order to avoid another start-up. Finally, the MILP approach allows to consider the fact that primary and secondary control reserves provision usually requires operation of the respective generating unit and to fully include storages into the optimization problem. In this paper, the generation dispatch model is described in detail, key assumptions are presented and the implementation status is explained. © Copyright 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Integer programming

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A visual programming approach based on domain ontologies for configuring industrial IoT installations 17

A visual programming approach based on domain ontologies for...

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7th international conference on the Internet of things

作者： Tomlein, Matus Gronbaek, Kaj Aarhus Univ Dept Comp Sci Aarhus Denmark

ISBN: (纸本)9781450353182

Industrial products tend to be customized by third-parties for different use cases. this is currently supported by adding external Programmable Logic Controllers (PLC) to installations. As IoT software ecosystems become wide-spread, the need for such hardware will decrease. However, removing the controllers opens the challenge of configuring distributed industrial installations. this paper argues for modeling application requirements on industrial installations so that they can be evaluated automatically based on information about targeted installations. GIMLE, a visual language for modeling application requirements using expressive domain knowledge, is proposed. GIMLE enables modeling requirements on physical features of installations, which hasn't received significant attention in the related work. A study with domain experts is used to reflect on the proposed process. the scalability of the visual language is evaluated using a model for a real-world application. the support for reuse of requirements enabled us to build models that can add support for new installations without significant changes and with a slower increase in size the more components can be reused.

关键词： End-user programming visual programming modeling

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Assembly of a raspberry cluster for parallel processing based on functional programming 7

Assembly of a raspberry cluster for parallel processing base...

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Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2017 - 7th Ibero-American conference on Complexity, Informatics and Cybernetics, CICIC 2017

作者： Hoyos, Jorge G. Puertas, Alex Facultad de Ingeniería de Sistemas Universidad Santo Tomás Tunja Boyacá Colombia

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