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Drying control system for persimmon based on single-chip computer and PID 20

Drying control system for persimmon based on single-chip com...

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Proceedings of the 2020 2nd international conference on Big Data and Artificial Intelligence

作者： Lieping Zhang Liu Tang Huihao Peng Xuan Fang Xiao-Guang Yue College of Mechanical and Control Engineering Guilin University of Technology Guilin Guangxi China Department of Computer Science and Engineering School of Sciences European University Cyprus Nicosia Cyprus

ISBN: (纸本)9781450376457

The traditional drying method of dried persimmons is laborious and time-consuming. Moreover, the finished product rate of dried persimmons is significantly low. According to the characteristics and requirements of the dried persimmon drying process, a drying control system for persimmon based on single-chip microcomputer and PID is proposed in this paper. In the control system, the single-chip STC89C52 is used as the master controller, the PID controller is used to regulate the temperature of the persimmon drying room, the LCD1602 liquid crystal screen is used to monitor the drying process in real time, and the buzzer is used to alarm when the temperature exceeds the limit. The results of simulation experiment show that, compared with the traditional drying method of dried persimmon, the designed drying control system for dried persimmon can conveniently set the parameters of drying time, temperature, etc. The control system not only realizes real-time control, detection and display of the dried persimmon drying process but also improves the drying efficiency and quality of dried persimmons.

关键词： Control system

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1st Workshop on Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making, CMAI 2020, 1st international Workshop on Conceptual Modeling for Life Sciences, CMLS 2020, 2nd Workshop on Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible, Interoperable and Reusable (FAIR) Data, CMOMM4FAIR 2020, 1st Workshop on Conceptual Modeling for NoSQL Data Stores, CoMoNoS 2020 and 3rd international Workshop on Empirical Methods in Conceptual Modeling, EmpER 2020 held at 39th international conference on Conceptual Modeling, ER 2020

1st Workshop on Conceptual Modeling Meets Artificial Intelli...

引用

1st Workshop on Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making, CMAI 2020, 1st international Workshop on Conceptual Modeling for Life Sciences, CMLS 2020, 2nd Workshop on Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible, Interoperable and Reusable (FAIR) Data, CMOMM4FAIR 2020, 1st Workshop on Conceptual Modeling for NoSQL Data Stores, CoMoNoS 2020 and 3rd international Workshop on Empirical Methods in Conceptual Modeling, EmpER 2020 held at 39th international conference on Conceptual Modeling, ER 2020

ISBN: (纸本)9783030658465

The proceedings contain 21 papers. The special focus in this conference is on Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making. The topics include: Mapping the Web Ontology Language to the OpenAPI Specification;Evaluating FAIRness of Genomic Databases;Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence;Deimos: A Model-Based NoSQL Data Generation Language;Managing Physical Schemas in MongoDB Stores;JSON Schema Inference Approaches;Empirical Evaluation of a New DEMO modelling Tool that Facilitates Model Transformations;acquiring and Sharing the Monopoly of Legitimate Naming in Organizations, an Application in Conceptual Modeling;replicability and Reproducibility of a Schema Evolution Study in Embedded Databases;towards Automated Support for Conceptual Model Diagnosis and Repair;Challenges in Checking JSON Schema Containment over Evolving Real-World Schemas;experimental Practices for Measuring the Intuitive Comprehensibility of Modeling Constructs: An Example Design;Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI;Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter;the Importance of the Temporal Dimension in Identifying Relevant Genomic Variants: A Case Study;towards the Generation of a Species-Independent Conceptual Schema of the Genome;Conceptual Human Emotion Modeling (HEM);towards an Ontology for Tertiary Bioinformatics Research process;Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data.

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A Hybrid Methodology Based on Machine Learning for a Supply Chain Optimization Problem 2

A Hybrid Methodology Based on Machine Learning for a Supply ...

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2020 2nd international conference on computer Modeling, simulation and Algorithm, CMSA 2020

作者： Duc, Duy Nguyen Nananukul, Narameth School of Management Technology Sirindhorn International Institute of Technology Thammasat University Pathum Thani12120 Thailand

This paper presents an advanced methodology that integrates a machine learning methodology into an optimization process. The framework of an interactive machine learning algorithm was developed to meet the challenges in solving large-scale optimization problems. An artificial neural network (ANN) is used with the knowledge gained from solving previous problems with different scenarios to define a good starting point for a solution searching process. By using an initial solution, known as "warm start", the search space can be reduced to get more opportunity to find an optimal solution. The applicability of the proposed method was evaluated by using it to determine the optimal facility locations for a biomass supply chain problem using a real case study from Central Vietnam. The supply chain planning model is based on an optimization model, where the goal is to maximize the benefits from meeting the electricity demand minus the total cost from facility cost, penalty cost from lost demand, and operational costs form the supply chain. The structure of the ANN, the number of intermediate layers and the number of processing nodes, was determined by comparing the accuracy from different configurations. The ANN with two intermediate layers possesses the best performance from the training and testing datasets. The proposed model succeeded in predicting the facility location with more than 98% prediction accuracy. The results from our framework provide optimal solutions while saving runtime. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Supply chains

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Public transport routing including fixed schedule, shared on-demand and door-to-door services. 10

Public transport routing including fixed schedule, shared on...

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10th international conference on Ambient Systems, Networks and Technologies (ANT) / 2nd international conference on Emerging Data and Industry 4.0 (EDI40)

作者： Medina, Sergio Arturo Ordonez Wang, Biyu Singapore ETH Ctr 1 Create Way 06-01 Singapore 138602 Singapore

modelling realistic public transport route choices is a key element for transport planning tools. Although these decisions have been modeled based on travel time and travel cost, the emergence of new public means of transport makes the problem more challenging. In this work, we extend the public transport router of a widely used mobility simulation platform called MATSim. Besides fixed scheduled services, the proposed router is able to include on-demand shared services as well as private door-to-door services. With the co-evolutionary algorithm of MATSim, this router records waiting and travel times from previous iterations to improve public transport routes. This allows to take into account interactions between agents when routes are decided. The approach is tested in a model of a future neighborhood of Singapore, where on-demand services complement the existing fixed schedule supply. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-nd (http://***/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the conference Program Chairs.

关键词： Multi-modal routing Public transport Mobility on demand Route choice MATSim Agent-based simulation

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Research on Physically-based computer Animation

Research on Physically-based Computer Animation

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Information Technology and computer Application (ITCA), international conference on

作者： Yanhao Cao Yingfeng Zhao Yulu Hu Bin Lin National Key Laboratory of Science and Technology on Vacuum Electronics Academy of Computer Simulation Technology University of Electronic Science and Technology of China Chengdu China

In order to estimate the physical characteristics of the mechanical system and shorten the development cycle, this paper studies the principles and related technologies of the generation of physically-based animations, and combines the Bullet physics engine to simulate the dynamics of rigid bodies, and produce physically-based animations. The basic principle of physics animation is based on dynamic equations. The numerical solution technology is used to solve the dynamic equations. The actual motion of the rigid body will not penetrate, and collision detection is required. The Bullet physics engine is used to calculate the motion process of a rigid body, and OpenGL is used for rendering, and the two are combined to realize the simulation process.

关键词： Solid modeling Computational modeling Heuristic algorithms Dynamics Animation Mathematical model Synchronization

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Uav – virtual migration based on obstacle avoidance model 2nd

Uav – virtual migration based on obstacle avoidance model

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2nd international Cognitive Cities conference, IC3 2019

作者： He, Ci-Fong Lai, Chin-Feng Tseng, Shau-Yin Lai, Ying Hsun National Cheng Kung University No. 1 Daxue Rd. Tainan70101 Taiwan ITRI/ICL 195 Sec. 4 Chung Hsing Rd. Chutung Hsinchu31040 Taiwan National Taitung University Sec. 2 University Rd. Taitung City Taitung County 950 Taiwan

ISBN: (纸本)9789811561122

In recent years, the obstacles avoidance technology of unmanned aerial vehicles has been developed rapidly. It takes a lot of manpower to control un-manned aerial vehicles, so many researches use reinforcement learning to make unmanned aerial vehicles fly autonomously. In the real environment using rein-for cement learning to train aircraft is an expensive and time-consuming work, because reinforcement learning is a way to learn from mistakes, so there are often bumps in the learning process. In Wu’s research, they trained a good model, but the realistic environment and simulation environment differs very big, so we will train this model again and transferred to the real environment, makes unmanned aerial vehicle in the realistic environment can use cheaper and quickly achieve the same task. © Springer Nature Singapore Pte Ltd 2020.

关键词： Reinforcement learning

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On maximizing blind rendezvous probability in cognitive radio Ad Hoc networks 2nd

引用

2nd international conference on Optical and Wireless Technologies, OWT 2018

作者： Ukey, Aishwarya Sagar Anand Chawla, Meenu Department of Computer Science and Engineering Maulana Azad National Institute of Technology Bhopal462003 India

ISBN: (纸本)9789811361586

Establishment of wireless communication links among the cognitive radio (CR) users via rendezvous on commonly available channels is the crucial process in cognitive radio ad hoc networks. Extant rendezvous methods utilize the channel hopping (CH) technique (also referred as blind rendezvous) and generate the CH sequence on the top of potential licensed channels and employ random replace operation to contrive the CH sequence for individual CR user. However, incorporation of random replace operation may exhibit poorer performance with the increase in the number of available channels owing to the severe decrease in the probability of replacing an unavailable channel with the same available channel by two or more CR users. In this paper, we present a channel-ranking rendezvous procedure that ranks available channels based on the received SINR and constructs the CH sequence by replacing the unavailable channels with higher ranked available channels. We verify the superiority of channel-ranking procedure through extensive simulation, and the simulation results confirm that utilization of channel-ranking mechanism severely maximizes the rendezvous occurrence probability as compared with the random replace operation. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Probability

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modelling and simulation of a Physical Internet of Transportation Hubs 10

Modelling and Simulation of a Physical Internet of Transport...

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10th international conference on Ambient Systems, Networks and Technologies (ANT) / 2nd international conference on Emerging Data and Industry 4.0 (EDI40)

作者： Karakostas, Bill VLTN BBVA Welvaartstr 33b B-2000 Antwerp Belgium

A Physical Internet of hubs ('PI-hubs') is a network of logistics terminals that allow shipments to flow through, similar to the flow of Internet data packets. PI-hub networks are a recent proposal and their properties have not been studied in detail. In this paper we model PI-hub networks using the theory of queuing networks, particularly, Jackson queuing networks. Under certain assumptions, PI-hub networks behave like Jackson queuing networks, and thus analytical methods can be used to calculate important properties such as throughputs, processing times, traffic size etc. In this paper we analyse the performance characteristics (throughput, queue size) for each PI-hub and for the whole PI-hub network. (C) 2019 The Authors. Published by Elsevier B.V.

关键词： Physical Internet transportation hub intermodal transport queying theory simulation

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Smart Development of Big Data App for Determining the modelling of Covid-19 Medicinal Compounds Using Deep AI Core Engine System 2

Smart Development of Big Data App for Determining the Modell...

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2nd international Seminar on Smart Molecule of Natural Resources, ISSMART 2020

作者： Cholissodin, I. Sutrisno, S. Santoso, N. Soebroto, A.A. Hidayat, N. Rochman, N.T. Faculty of Computer Science Brawijaya University East Java Indonesia Metallurgy and Materials Research Center Indonesian Institute of Sciences

Smart Big Data App Using Deep Artificial Intelligence (AI) Core Engine System focuses on solving problems related to the difficulty in building a prototyping model computer simulation like in silico as a model initiation of the complex Covid-19 medicinal compound involving Big Data ecosystems such as Hadoop and Spark. The difficulty is for example, currently, it is still very arduous to measure the rate of mixture of a compound when combined with many other compounds, which can consider the trade-off in minimizing the negative effects but optimizing the positive effects. In addition, the computation time becomes very long when using a system that is not in the Big Data ecosystem since this is proportional to the large number of compounds that vary widely and also the number of different situations of Covid-19 patients with other congenital diseases (comorbid) or without congenital disease;thus, it can be considered to be included in a condition that requires a very complex computational process which is very difficult to model using a conventional mathematical approach because the calculations are certainly very complex when compared to approaches using meta-heuristics algorithms such as Particle Swarm Optimization (PSO) which is much easier but requires a very large particle population space and iterative process to achieve global convergence. As a consequence, it requires fast computation processes based on distributed computing such as using the Big Data ecosystem. From the review of these problems, the system was created based on the Computational Intelligence;hence, the end-users, especially the developers, can build an application easier in spite of the complex computations, one of the which is in the meta-heuristic technique to minimize the negative effects and optimize the positive effects of the medicinal compounds by including a lot of data to get a better modeling. Therefore, the prototyping modeling project can be quick and robust, and achieve high perfo

关键词： Iterative methods

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Interdisciplinary Approach to Social-Economic simulation

Interdisciplinary Approach to Social-Economic Simulation

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international conference on Control Systems, Mathematical modelling, Automation and Energy Efficiency (SUMMA)

作者： Oleg Malafeyev Sergei Nemnyugin Irina Zaitseva Yulia Orel Dmitry Shlaev Svetlana Temmoeva Saint-Petersburg State University St. Petersburg Russia Russian State Hydrometeorological University St. Petersburg Russia Stavropol State Agrarian University Stavropol Russia University named after V. M. Kokov Nalchik Russia

ISBN: (数字)9781728188409

ISBN: (纸本)9781728181134

Model of social-economic phenomena based on solid-state Ising model is formulated and used for computer simulation. The model is based on the lattice model of ferromagnetic or antiferromagnetic matter but takes deal with social phenomena. Set of agents of social-economic interaction is introduced into consideration. Agents take decision about participation in some sort of activity at discrete moments of time. The decision may lead to profit or to loss. It depends on previous history of the social-economic system. Dynamics of a system is defined by stochastic Markov process. Stochastic nature of the process is influenced by external and individual factors. The model is formulated algorithmically as a sequence of steps and is studied by means of computer simulation. Numerical results are given.

关键词： Solid modeling Computational modeling computer simulation Lattices Data models Numerical models Mathematical model

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