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MTCA control and data acquisition platform for Plasma Diagnostics

JOURNAL OF INSTRUMENTATION 2019年第11期14卷

作者： Sousa, J. Correia, M. Pereira, R. C. Rodrigues, A. P. Carvalho, P. F. Combo, A. Santos, B. Carvalho, B. B. Batista, A. J. N. Dias, R. Goncalves, B. Univ Lisbon Inst Plasmas & Fusao Nucl Inst Super Tecn Av Rovisco Pais 1 P-1049001 Lisbon Portugal

The advanced Telecommunications computing Architecture (ATCA) instrumentation platform for fusion control and diagnostics developed at IST, is being extended with a Micro Telecommunications computing Architecture (MTCA) control and data acquisition platform, still able to maintain performance characteristics in speed, channel density and availability of ATCA, at a cost suitable for smaller systems. Software and firmware have been ported to MTCA using mostly in-house developed hardware, preserving many of ATCA's benefits in performance in a smaller form-factor. The first instance of the proposed platform comprises a MTCA 1U shelf with 6 advanced Mezzanine Card (AMC) slots, MTCA Carrier Hub (MCH) module, AMC to Field-programmable Gate Array (FPGA) Mezzanine Card (FMC) carrier modules, 500 MSPS to 2 GSPS ADC FMC modules, timing and synchronization input/output (IO) module, or other Commercial Off-The-Shelf (COTS) modules. data is handled by the MCH, featuring PCIe Gen 3 switching to a host computer, as well as performing clock distribution and intelligent Platform Management Interface (IPMI) based hardware management for high availability. This compact, flexible and autonomous or scalable platform may either integrate a large-experiment system infrastructure, as well as being configured as a lower-cost, self-contained platform for smaller experiments or development and testbench purposes. The focus of this paper is the development of the MCH MTCA.0 module, which is key to introduce the platform architecture.

关键词： Modular electronics Plasma diagnostics - interferometry, spectroscopy and imaging Digital electronic circuits Instrumentation for particle accelerators and storage rings - low energy (linear, accelerators, cyclotrons, electrostatic accelerators)

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Personalized ambience: An integration of learning model and intelligent lighting control

Personalized ambience: An integration of learning model and ...

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ieee World Forum on Internet of Things (WF-IoT)

作者： Xiangwei Yin Sye Loong Keoh School of Computing Science University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9781509041312

The number of households and offices adopting automation system is on the rise. Although devices and actuators can be controlled through wireless transmission, they are mostly static with preset schedules, or at different times it requires human intervention. This paper presents a smart ambience system that analyzes the user's lighting habits, taking into account different environmental context variables and user needs in order to automatically learn about the user's preferences and automate the room ambience dynamically. Context information is obtained from Yahoo Weather and environmental data pertaining to the room is collected via Cubesensors to study the user's lighting habits. We employs a learning model known as the Reduced Error Prune Tree (REPTree) to analyze the users' preferences, and subsequently predicts the preferred lighting condition to be actuated in real time through Philips Hue. The system is able to ensure the user's comfort at all time by performing a closed feedback control loop which checks and maintains a suitable lighting ambience at optimal level.

关键词： Lighting Meteorology Sensors Automation Computational modeling Context Real-time systems

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Development of intelligent Fault Early Warning System for Substation Integrating Satellite Remote Sensing and Ground Monitoring

Development of Intelligent Fault Early Warning System for Su...

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data Analytics, computing and Artificial Intelligence (ICDACAI), International Conference on

作者： Yuewei Tian Wenju Dai Xiaoyao Wu Lintao Shi Yongqiang Zhao Wenqiang Zou Guiyang Power Supply Bureau of Guizhou Power Grid Co. Ltd. Guiyang China China Southern Power Grid Technology Co. Ltd. Guangzhou China

ISBN: (数字)9798331519032

ISBN: (纸本)9798331519049

In this paper, an intelligent fault early warning system of substation integrating satellite remote sensing and ground monitoring technology is proposed and developed, aiming at improving the safety and stability of substation operation. The system architecture is designed as four layers, including data acquisition layer, data processing and fusion layer, fault early warning layer and user interaction layer. The data acquisition layer is responsible for collecting satellite remote sensing images and ground monitoring data; The data processing and fusion layer preprocesses, extracts and fuses the original data to improve the data quality. Fault early warning layer uses machine learning algorithm to build fault early warning model, and automatically identifies and predicts potential faults; The user interaction layer displays the early warning information in real time through the graphical interface, and provides visual fault analysis results. The fault early warning model based on ensemble learning adopts random forest algorithm and introduces weighted voting mechanism, which improves the accuracy and stability of prediction. Case analysis shows that the system has significantly improved the accuracy and timeliness of fault early warning in practical application, from 85.234% to 96.789%. The research results show that the intelligent fault early warning system of substation integrating satellite remote sensing and ground monitoring can overcome the limitations of traditional technology, realize comprehensive, real-time monitoring and efficient early warning of substation operation state, and provide strong support for the stable operation of power system.

关键词： Substations Satellites Machine learning algorithms Power system stability Alarm systems Predictive models Stability analysis Real-time systems Remote sensing Monitoring

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Byte-Sized Reviewers: Exploring Review Generation through LNRG-S

Byte-Sized Reviewers: Exploring Review Generation through LN...

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data Science and Computer Application (ICDSCA), ieee International Conference on

作者： Yiting Li Min Fu School of Intelligent Systems Engineering Sun Yat-sen University Shenzhen China Department of Computing Macquarie University Sydney Australia

The development of network technology has led to an explosive growth of user-generated comments. These contents are based on users' experiences after using services and products, reflecting users' evaluations. Automatically generating high-quality and controllable sentiment comments can help creators improve work quality, help service providers enhance service levels, and improve consumers' consumption experience. However, current methods have some limitations. Seq2seq models have difficulty maintaining semantic consistency and generating long texts, LSTM can maintain a memory state and generate coherent text, but is prone to overfitting, generating repetitive text, and having difficulty establishing local coherence. N-gram models text locally but cannot understand the global context. This paper proposes a hybrid architecture, called LNRG-S (LSTM N-gram Reviews Generator with Sentiments), which combines LSTM and N-gram to model both global and local dependencies, and trains separate LSTM generators for positive and negative samples to control sentiment polarity of generated comments. We computed the perplexity of comments generated by different models. LNRG-S has 43.93% and 18.89% lower perplexity than LSTM and n-gram respectively, demonstrating that LNRG-S generates more fluent and coherent text.

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intelligent computing for the management of changes in industrial engineering modeling processes

Intelligent computing for the management of changes in indus...

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International Conference on Computational Cybernetics (ICCC)

作者： L. Horvath I.J. Rudas J.F. Bito G. Hancke John von Neumann Faculty of Informatics Budapest Tech Polytechnical Institution Budapest Hungary Faculty of Informatics Budapest Tech Polytechnical Institution Budapest Hungary Dept. of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa

Advancements in engineering modeling have changed work of engineers during the last two decades. Sophisticated descriptions store information about shape oriented engineering objects and their relationships. Boundary representations of form features constitute shape models. Rules and checks have replaced simple data form of shape model entity attributes. This change of modeling facilitates a next step towards application of computer intelligence at engineering object related decisions. The authors propose a method of intelligent attribute definition for integrated decision assistance environments of modeling systems. This method provides quick and comprehensive assessment of situations for decisions on modification of modeled objects in very complex information environments. The paper starts with an outline of the approach to intelligent decision assistance by the authors. Next, an Internet portal communicated scenario of the proposed modeling is discussed. Following this, multilevel solution for modeling, adding characteristics for engineering objects, and definitions and communications are detailed as essential methods in the proposed modeling. Finally, behaviors for essential classes of modeled objects and an example for the definition of situations and behaviors represent implementation issues.

关键词： Engineering management Industrial engineering Shape Competitive intelligence Informatics Humans Portals Computer aided manufacturing CADCAM Application software

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Design of Multi-Source data Collection Cloud Platform for Transmission Lines Integrating Technology

Design of Multi-Source Data Collection Cloud Platform for Tr...

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Mobile Networks and Wireless Communications (ICMNWC), ieee International Conference on

作者： Yifeng Zhu Lin Tian Chengyu Liu Jian Cui Ming Fang China Southern Power Grid Co. Ltd. EHV Transmission Company Guangzhou Guangdong China Guiyang Bureau of China Southern Power Grid Co. Ltd. EHV Transmission Company Guiyang Guizhou China

As power systems continue to evolve, aggregation technology has become a mainstream solution. This article aims to provide a detailed analysis and study of data acquisition issues in centralized transmission lines. In the aggregation of transmission lines, this article adopts a distributed computing service model, which is to set up a centralized municipal area network through the network to realize the monitoring and management of load demand and power supply reliability at the bureau and county level. This article combines smart terminals with traditional networks to meet users' different application functional requirements, and uses the characteristics of the Internet to provide a data collection platform with strong realtime performance, high reliability, and large maintenance and management capabilities. Finally, this article tests the performance of the platform. The test results show that the system receives data quickly and processes data quickly. The overall disk utilization index is above 0.84, and the highest index of 0.98 is infinitely close to 1, which shows that the performance of the system is efficient.

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An enhanced 2D buddy strategy for submesh allocation in mesh networks

An enhanced 2D buddy strategy for submesh allocation in mesh...

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ieee International Conference on Algorithms and Architectures for Parallel Processing (ICAP)

作者： Tong-Ying Tony Juang Yu-Chee Tseng Yuh-Shyan Chen Department of Computer Science Chung Hua University Hsinchu Taiwan Department of Computer Science and Information Engineering National Central University Chungli Taiwan

ISBN: (纸本)0780342291

The efficient allocation problem plays an important role in partitionable multiprocessor system. It is critical to the performance of parallel computers, especially for large-scale parallel computers. In this paper, we propose a new enhanced two-dimensional buddy system (E2DBS) strategy which overcomes the drawbacks of previous two-dimensional buddy system (2DBS) strategy, such as four non-buddy submeshes can be allocated, the requesting tasks and the system needs not be square. In E2DBS, we propose an adaptive data structure, called free sub-mesh matrix (FSM), to maintain the free submeshes, which can allocate and deallocate processors easily. Simulation results indicate that our strategy outperforms the previous ones, i.e. 2DBS strategy and best fit strategy, in terms of system processor utilization and average waiting time under various system loads for rectangle requesting tasks with side lengths are powers of 2.

关键词： intelligent networks Mesh networks Computer science Electronic mail Concurrent computing data structures Multiprocessing systems Large-scale systems Scalability Modular construction

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Navigating the Roadblocks: Lessons Learned from a Gardening Society Conversational RAG Bot

Navigating the Roadblocks: Lessons Learned from a Gardening ...

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Applied Intelligence and computing (AIC), ieee World Conference on

作者： Tamanna Subarna Rana Priyanka Choudhary COE Data Science & AI Publicis Sapient India

ISBN: (数字)9798350384598

ISBN: (纸本)9798350384604

Large Language Model (LLM) Retrieval-Augmented Generation (RAG) chatbots hold immense potential for enhancing user engagement and information access. However, bringing such a system to life on a real-world platform presents unique challenges. This article explores the design of the chatbot, and the hurdles encountered in productionizing an LLM-RAG chatbot for a gardening society website. We delve into specific roadblocks faced during development, including•Domain-Specific Knowledge acquisition: Training the LLM on a comprehensive gardening knowledge base proved crucial to ensure accurate and relevant responses.•Balancing Open-Endedness with Focus: While LLMs excel at open-ended conversation, enabling the chatbot to answer gardening queries effectively required focused training strategies.•Integration with Website Infrastructure: Seamless integration of the chatbot into the society's website involved addressing technical considerations and ensuring a user-friendly *** present the solutions implemented to overcome these challenges, offering valuable insights for those considering deploying similar LLM-RAG chatbots for niche online communities. The article concludes by discussing the lessons learned and the potential impact of such chatbots on the future of online user interactions.

关键词： Training Accuracy Navigation Large language models Knowledge acquisition Knowledge based systems Oral communication Chatbots

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Mining freight truck's trip patterns from GPS data

Mining freight truck's trip patterns from GPS data

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17th International ieee Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Jun Huang Li Wang Chen Tian Fan Zhang Chengzhong Xu Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Department of Electronics and Information Huazhong University of Science and Technology

Land carriage is important for nowadays large goods *** are three major roles in a land carriage order: guests,companies and trucks.A significant problem,for logistics companies,is the lack of trip *** monitoring the trips of freight trucks is *** of all,it does help logistics companies to prevent the fraud *** more importantly,it help us understanding the trip patterns of freight truck *** development of Global Position System(GPS) and wireless communication together enables the possibility to analyze large scale freight *** this paper,we study a large GPS trajectory dataset of 14654 freight trucks from a 3rd-party company,which helps logistics companies monitoring those freight *** propose a method to extract trips from the GPS trajectories of freight trucks and mine the travel patterns,both collectively and *** the best of our knowledge,this is the first mining work of large scale freight truck trajectory data.

关键词： System GPS Mining freight truck's trip patterns from GPS data

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Supervisory Control for Smart Manufacturing Using FIWARE

Supervisory Control for Smart Manufacturing Using FIWARE

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Antonios N. Menexis Dimitrios G. Fragkoulis Fotis N. Koumboulis Nikolaos D. Kouvakas Department of Digital Industry Technologies Robotics Automatic Control and Cyber-Physical Systems Laboratory School of Science National & Kapodistrian University of Athens Euboea Greece

ISBN: (数字)9798331540319

ISBN: (纸本)9798331540326

The problem of providing smart manufacturing units, via supervisor control implemented in FIWARE, is studied. In order to investigate the problem at hand, an indicative manufacturing unit is considered, and the desired safe performance of the unit is achieved via a supervisory control architecture, being implemented in cloud computing environment. The model of the manufacturing unit is developed on the basis of the models of its sensors and actuators, in Discrete Event System (DES) form. The safe behavior of the unit is expressed in the form of nine rules. The rules are translated into nine regular languages that are realized as a set of proper supervisors. The supervisors are analytically determined and conducted in the open platform FIWARE, using all necessary smart data models and platform tools.

关键词： Cloud computing Actuators Web services Computational modeling Supervisory control data models Sensor systems intelligent sensors Smart manufacturing Milling machines

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