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IEEE international conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Conghui Ma Bin Zhang Lutao Yan Haiyuan Li School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China School of Automation Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665405836

this paper presents a data-driven optimal approach based on differential dynamic programming (DDP) for two-person differential game of nonlinear affine systems. Using test data, the Hamilton-Jacobi-Isaacs (HJI) equation is expanded into a set of high-order differential equations. Basis functions is adopted to approximate the unknown system function and value function. Based on the approximation, a data-driven optimal approach is proposed to obtain the unknown coefficients of the basis functions. A numerical example is proposed to demonstrate the effectiveness of this method.

关键词： conferences Differential games Differential equations Dynamic programming Nonlinear systems Optimization

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Actor-Critic Algorithm for Optimal Synchronization of Kuramoto Oscillator 7

Actor-Critic Algorithm for Optimal Synchronization of Kuramo...

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

作者： Vrushabh, D. Shalini, K. Sonam, K. Veermata Jijabai Technol Inst EED Mumbai Maharashtra India

ISBN: (纸本)9781728159539

this paper constructs a reinforcement learning (RL) based algorithm of Actor-Critic (AC) for the optimal synchronism of the Kuramoto oscillator. this is accomplished through the Ott-Antonsen ansatz framework for the dynamics of large interactive unit networks. Besides, this approach reduces the infinite-dimensional dynamics to phase space flow, i.e., low dimensional dynamics for certain systems of globally coupled phase oscillators. the resulting Hamiltonian-Jacobi-Bellman (HJB) expression is extremely difficult to solve in general, therefore this paper introduces the AC method for learning approximate optimal control laws for the Kuramoto oscillator model. RL has been contemplated as one of the efficient methods to solve optimal control of non-linear systems. For a collection of non-homogeneous oscillators, the states are elucidated as phase angles, which is the modification of the model for a coupled Kuramoto oscillator. An admissible initial control policy for the Kuramoto oscillator model is designed and solved using RL giving an approximate solution of the optimal control problem. Finally, local synchronism of the coupled Kuramoto oscillator model is supported through simulations analysis.

关键词： Reinforcement learning Hamilton-Jacobi-Bellman Approximate Dynamic programming Kuramoto oscillator Mean-field game Order parameter

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Dual-stage operation strategy of BESS for frequency regulation considering planned peak shaving

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ENERGY REPORTS 2020年 6卷 502-508页

作者： Zhang, Shengqi Liu, Heyu Wang, Fei Miao, Yuhui Dong, Jingwen Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China

With the increasing penetration of the renewables, power system is with the challenge of the frequency stability. Battery energy storage systems (BESS) is regarded as an effective way providing frequency regulation services (FRS). However, the high-quality frequency regulation sources fail to be fully utilized, because the current ancillary services market rules cannot quantify the contribution of BESS in FRS in current ancillary services market rules. therefore, it is significant that the existing BESS, which have already provided the peak shaving service (PSS), are further involved in the FRS. In this paper, a dual-stage operation strategy (DOS) for BESS based on dynamic programming method (DPM) is proposed. In detail, DPM is applied in Stage I planning BESS in PSS, and DPM is applied again in Stage II arranging BESS in FRS. At last, the promising results show the application of DOS takes full advantage of BESS in FRS irrelevant to ancillary services market rules. Meanwhile, the original arrangement of BESS in PSS and the corresponding profit are both satisfied. (C) 2020 the Authors. Published by Elsevier Ltd.

关键词： Battery energy storage system Dynamic programming Frequency regulation Peak shaving

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2020 IEEE 7th international conference on Industrial Engineering and Applications, ICIEA 2020

2020 IEEE 7th International Conference on Industrial Enginee...

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7th IEEE international conference on Industrial Engineering and Applications, ICIEA 2020

ISBN: (纸本)9781728167855

the proceedings contain 205 papers. the topics discussed include: ImHome: an IoT for smart home appliances;a binary integer programming formulation and solution for truck appointment scheduling and reducing truck turnaround time in container terminals;study on giant frisbee risk assessment based on human reliability analysis;the vehicle routing problem with split delivery and heterogeneous trucks and commodities: a case study;raw material characteristic prediction for packing media preparation in canned pineapple production line;dynamic ridesharing strategy for shared autonomous vehicles based on maximum similarity of trajectories;locally designed campus smart bike sharing system: lessons learned and design optimization for thailand;machine component clustering with mixing technique of DSM, Jaccard distance coefficient and k-means algorithm;compatibility validation framework for complex data center HW components;and nanofabrication process of the plasmonic metallic nano pixels on quartz substrate by N-buthanol nanoimprinting with epoxy peeling off technique.

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Heuristic Methods: Application to Complex Systems

Heuristic Methods: Application to Complex Systems

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international conference on Optimization and Applications (ICOA)

作者： Elhoucine Ouassam Nabil Hmina Belaid Bouikhalene Hanaa Hachimi LIMATI laboratory Sultan Moulay Slimane university Beni mellal Morocco LGS Laboratory ENSA of Kenitra Ibn Tofail University Kenitra Morocco

ISBN: (纸本)9781665431156

In recent literature a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution, in this paper, we present a collection of definitions dedicated to explore optimization problems, their methods of resolution and distributed approaches. Next, we describe one of the most famous real-world applications for combinatorial optimization problems; it is the Economic dispatch (ED) problem solving.

关键词： Economics Protocols Benchmark testing Linear programming Problem-solving Complex systems Optimization

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Finger Robotic control use M5Stack board and MQTT Protocol based 7

Finger Robotic control use M5Stack board and MQTT Protocol b...

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7th international conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2020

作者： Adi, Puput Dani Prasetyo Kitagawa, Akio Akita, Junichi University of Merdeka Malang Malang East Java Indonesia Kanazawa University Micro Electronics Research Laboratory Kanazawa Ishikawa Japan Kanazawa University IfDL Laboratory Kanazawa Ishikawa Japan

ISBN: (纸本)9781728172255

In this research, remote robot hand control using (Message Queuing Telemetry Transport) MQTT Protocol and M5Stack Board. the purpose of this research is to develop remote control technology on the robotic fingers, the function of the robotic fingers is used as an actuator that works to control or perform certain jobs, for example, a robot that can press buttons automatically with remote control, or can adjust the volume, pressing the lever, catching the ball, giving symbols like counting abacus in mathematics, and other robot arm activities that can be developed remotely using internet technology. In general, the MQTT Protocol works by providing string input. Furthermore, the position of the servo angle is represented by the values x and y or θ1 and θ2. the results of the analysis in this research consisted of blockly programming and python used to control the robot finger and activities on MQTT Brokers which consisted of publish and subscribe and how the packet data was in MQTT Broker. © 2020 IEEE.

关键词： Robot programming

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international Stock Index Prediction Using Artificial Neural Network (ANN) and Python programming

International Stock Index Prediction Using Artificial Neural...

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international conference on Control, Instrumentation, and Automation

作者： Ashkan Safari Amir Aminzadeh Ghavifekr Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

ISBN: (纸本)9781665403504;9781665430012

the stock market is one of the best channels for financial development that requires a high accuracy prediction of the trades. this subject needs some technical skills and experience to achieve the best result. this paper represents a tuned Python console program based on the Neural Network (NN), and the Artificial Intelligence (AI) to predict future price in a qualified and quantized way with high accuracy and close to real. New ideas implemented in this paper are combining AI and NN model in the Python console system with a security shell that works with voice and PIN to authenticate the user. It has Cross-Platform capability and supports cryptocurrencies price and their predictions. this program enables the user to have a duplication of the final data in his/her given email. the proposed approach presents the influence of AI and Machine learning in nearly future predictions. this system can be used in the all kinds of subjects that include past time databases.

关键词： Artificial neural networks Predictive models Data models Cryptography Stock markets programming profession Python

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Comparative Study of Convergence of Optimization Algorithms with Chirp Signal Input

Comparative Study of Convergence of Optimization Algorithms ...

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international conference on Advanced Computing and Communication Systems (ICACCS)

作者： Bhattagiri Lekhan Reddy Kunta Prasanth Kumar Akula Shanmukha Naga Veera Sai K Anuraj S S. Poorna Amrita Vishwa Vidyapeetham Amritapuri India

In structural analysis of the materials, for detecting the material defects, reflected echoes can be used. these backscattered echoes can also provide several information regarding material properties. Echo is modeled in this paper as a white-gaussian noise added chirp signal. the signal phase, centre frequency and sampling frequency are the parameters to be evaluated from the noisy chirp signal. Assessing optimized parameters from reflected reverberations is quite tough. Various algorithms such as, Trust Region Reflective, Levenberg - Marquardt, Quasi Newton and Sequential quadratic programming, Active Set are used to optimize necessary noise altered signal parameters. the research focuses on the study of goodness of fit of various estimated signals by using the aforementioned methods for a range of SNR values from 0-20 dB. Additionally, the noisy reverberations are denoised using wavelet before estimating the parameters. Sequential quadratic programming algorithm gave the optimized parameters for both noisy and de-noised echoes.

关键词： Parameter estimation Chirp Mean square error methods Performance analysis Noise measurement Reverberation Quadratic programming

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Transformation from Web Pages to Optimal Normal Form Database Schema Using a Conceptual Schema Approach

Transformation from Web Pages to Optimal Normal Form Databas...

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international conference on Engineering, Applied Sciences, and Technology (ICEAST)

作者： Oviliani Yenty Yuliana Suphamit Chittayasothorn Faculty of Business and Economics Petra Christian University Surabaya Indonesia Faculty of Information Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781665431057

Web pages and their embedded documents are a good source of information. However, issuing complex queries directly on web pages using direct pattern-matching techniques are challenging tasks that require lengthy procedural programming. Also, programmers working directly on web pages are in charge of the search path and routing, which depend on individual document structures and affect the correctness, completeness, and performance of the results. In contrast, relational databases are well-structured and backed by mathematical principles. Well-designed relational database structures are known to be anomalies-free. the standard relational database language, SQL, is a non-procedural language that defines the required results precisely. Query results are both correct and complete. Performance issues are handled by intelligent query optimizers employed by modernday Database Management System (DBMS). this paper suggests an approach that transforms documents embedded on web pages in HTML format to corresponding relational database structures and populations. functional dependencies (FDs) and multi-valued dependencies (MVDs) obtained from documents on the webpages are used to construct conceptual schema diagrams, which are further transformed into the Optimal Normal Form (ONF) relational database structures. In this research project, the Object Role Model (ORM) conceptual schema model is employed. the paper discusses the ORM and the rationales behind its usage. the detection of FDs and MVDs from webpage documents and the technical properties of the ONF relational database structures. Illustrated examples are also provided.

关键词： Structured Query Language Sociology Web pages Relational databases Transforms programming Routing

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A Model for Teaching and Learning programming Subjects in Public Secondary Schools of Malaysia

A Model for Teaching and Learning Programming Subjects in Pu...

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7th international conference on Advances in Visual Informatics, IVIC 2021

作者： Mohamed Salleh, Faridah Hani Dewi, Deshinta Arrova Liyana, Nurul Azlin Md Nasir, Naziffa Raha Department of Foundation and Diploma Studies College of Computing & Informatics Universiti Tenaga Nasional Jalan IKRAM-UNITEN Kajang Selangor Malaysia INTI International University Persiaran Perdana BBN Putra Nilai Nilai N. Sembilan71800 Malaysia College of Graduate Studies Universiti Tenaga Nasional Jalan IKRAM-UNITEN Kajang Selangor Malaysia Department of Computing College of Computing and Informatics Universiti Tenaga Nasional Jalan IKRAM-UNITEN Kajang Selangor Malaysia

ISBN: (纸本)9783030902346

In recent years, more and more countries have included programming as one of the subjects in the national education curriculum. However, comparatively less attention has been paid to reviewing the methodologies and tools, according to our observations. this paper aims to review methods and tools that have been applied in higher education levels and identify the most effective one to be applied in teaching and learning programming in high schools. the possible methods to be applied in high schools are highly dependent on the education landscape of the country itself. therefore, the methods proposed in this paper are identified by considering education issues in Malaysia such as language of communication, digital divide and schools’ teaching and learning time. We conducted an interview with the teachers and students to identify the real problems of teaching and learning programming in Malaysia public secondary schools. From the interview and extensive review of literature, possible model elements have been identified. We found that teaching and learning programming at high school level should incorporate the following main features;incorporating computational thinking, IDE-centric learning, relation to life-example, reiterative method and spaced exercise, effective questioning, support multi-language and self-study. However, all of these recommendations should be studied for their effectiveness by conducting a detail testing. thus, we conducted an expert evaluation by using a learning management system (LMS) that we created specifically to represent our suggested model components. the findings gathered from the expert evaluation confirms on the needs to give high priority to the following model components;reiterative and chunking, effective questioning, designing instructional materials, followed by adaptive learning, language and self-study. the components identified during the research process that are worthwhile to continue to prove their level of efficiency are AI

关键词： Random access storage

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