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A review of Chatbots development and utilization for Admission in Mae Fah Luang University 7

A review of Chatbots development and utilization for Admissi...

引用

7th international conference on information technology, InCIT 2023

作者： Pansombut, Subandit Kirimasthong, Khwunta Mae Fah Luang University Center of Excellence in Ai and Emerging Technologies School of Information Technology Chiang Rai Thailand

ISBN: (纸本)9798350358698

this research aims to study the development and utilization of chatbots that will apply to Mae Fah Luang University (MFU) admission services. there are 28,523 applicants in the 2022 academic year and a high demand for admission inquiries, the university faces challenges in providing thorough and timely assistance to students, teachers, and parents. the proposed solution is to design a chatbot that can handle frequently asked questions and provide answering services at any time through text input. therefore, the objective of this study includes an examination of chatbot development theory and guidelines, a comparative analysis of chatbot development using different tools, and an analysis of the format, structure, algorithm, and function of chatbots for admission services. the expected results include a better understanding of chatbot development for admission services and the creation of a successful chatbot for Mae Fah Luang University. © 2023 IEEE.

关键词： Natural language processing systems

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16th international conference on computer Graphics, Visualization, computer Vision and Image processing, CGVCVIP 2022, 8th international conference on Connected Smart Cities, CSC 2022, 7th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th international conference on theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi conference on computer Science and information Systems, MCCSIS 2022

作者： Khattar, Joseph Hahn, Eike Telawi, Samer Schwarz, Michael Boercsoek, Josef ICAS Institute for Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (纸本)9789898704429

Recent advancements in the embedded systems field have resulted in more complicated systems with application-specific blocks (IP cores), often known as System on Chip (SoC) devices. Several redundancy-based embedded designs provide reliability and safety for SoC in aeronautics, automotive, industrial automation, railway, and space. In this paper, a Safety System-on-Chip heterogenous1oo2 architecture is presented. the design is based on two open-source and proven in-use cores, LEON3 from Cobham Gaisler and RISCV processors SweRV EH1 from Western Digital. the SoC is implemented on a Xilinx FPGA system and supplemented with conventional peripherals from the Xilinx IP library and Cobham Gaisler. A software comparator is included for a diagnostic. Each core has independent IPs, and the software comparator evaluates data from both cores;in case of deviation, the system is rendered to an energized safe state. © MCCSIS *** rights reserved.

关键词： System-on-chip

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the optimal design of cavity optomechanical micro-hemispherical gyroscope 7

The optimal design of cavity optomechanical micro-hemispheri...

引用

7th IEEE international conference on Electronic information and Communication technology, ICEICT 2024

作者： Wang, Maoyuan Zhang, Senyu Liu, Jun Li, Zhe Jiang, Haoxuan Luo, Xiaoliang Ji, Zhe Wen, Guangjun Huang, Yongjun University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China University of Electronic Science and Technology of China School of Automation Engineering Chengdu China Glasgow College UESTC University of Electronic Science and Technology of China Chengdu China National Innovation Institute of Defense Technology Academy of Military Science PLA Beijing China Shijiazhuang Tiedao University School of Mechanical Engineering Shijiazhuang China

ISBN: (纸本)9798350384437

Micro-hemispherical resonator gyroscope (micro-HRG) is one of the most precise micro-vibratory gyroscopes. However, traditional micro-hemispherical resonator gyroscope has complex processing and weak anti-electromagnetic ability. Micro-HRGs based on optomechanical drive the resonator cavity and detect angular velocity/vibrations through optomechanical interactions, offering advantages such as ultra-high precision and ease of control. this paper investigates the driving and detection mechanisms of angular velocity and vibrations in micro-HRGs based on cavity optomechanics and Whispering Gallery Mode (WGM), as well as their structural design methods. It includes simulation analyses of performance in optical modes and mechanical modes. In terms of optical modes, the paper discusses and analyzes the influence of the length and thickness of the outer edge of the resonator on the optical resonance frequency and the optical quality factor;in terms of mechanical modes, it discusses and analyzes the influence of the radius and length of the support column on the mechanical resonance frequency. © 2024 IEEE.

关键词： Whispering gallery modes

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Multi-target Super-resolution technology of Remote Sensing based on L Regularization 7

Multi-target Super-resolution Technology of Remote Sensing b...

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7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Chen, Xingji Ben, Zhengyi School of Electronics and Information Engineering Harbin Institute of Technology Shenzhen518055 China Nanjing Institute of Technology School of Energy and Power Engineering Nanjing210000 China

ISBN: (纸本)9781665478571

Based on regularization theory, L regularizer is used as a constraint term for regularized deconvolution for super-resolution imaging of remote sensing targets. In this paper, a super-resolution imaging model is established with L regulars as constraints, and the super-resolution imaging problem is transformed into a constrained optimization problem. then, a half - threshold iterative algorithm for L - regular deconvolution convolution model is derived. Finally, point target simulation shows that the super-resolution imaging method based on L-regular deconvolution can achieve lower relative error than truncated singular value decomposition (TSVD) results, and has higher azimuth resolution and better robustness. © 2022 IEEE.

关键词： Optical resolving power

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Research on 3D Product Service System Based on Spherical Model 7

Research on 3D Product Service System Based on Spherical Mod...

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7th IEEE international conference on Smart Cloud, SmartCloud 2022

作者： He, Shufeng Sun, Dianqi Geological Information Room Qingdao Institute of Marine Geology Qingdao China

ISBN: (数字)9781665451796

ISBN: (纸本)9781665451796

this paper focuses on the intuitive, three-dimensional and convenient marine geological data service requirements of various applications. Based on the accumulation of 3D seabed visual modeling technology in the past, this paper realizes the uneven columnar sampling geological data processing, the rapid optimization processing of gravity and magnetic data, the extraction of key features of marine data field and the optimization of visual display can quickly and intuitively meet the service requirements for marine geological and geophysical data products, to realize related data analysis and simulation. © 2022 IEEE.

关键词： Data visualization

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Wheat Pest Identification Based on Deep Learning Techniques 7

Wheat Pest Identification Based on Deep Learning Techniques

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7th IEEE international conference on Big Data and Artificial Intelligence, BDAI 2024

作者： Li, Cheng Chen, Siyi Ma, Yueqi Song, Mengjie Tian, Xiaolin Cui, Hanwen Macau University of Science and Technology School of Computer Science and Engineering Faculty of Innovation Engineering China China Agricultural University School of Plant Protection Beijing China Zhuhai College of Science and Technology School of Computer Science Zhuhai China

ISBN: (纸本)9798350352009

In recent years, effective pest management has become of cross-application of artificial intelligence and big data technologies in agriculture and environment. Nowadays, plant pests have just become a serious problem, which affects the ecological health as well as the growth of crops. In order to further better target traditional crop wheat for pest management, this study utilizes advanced deep learning techniques to accurately detect and categorize common wheat pests ('wireworm', 'Beet spot flies', and 'Cicadellidae'). through the comparative analysis with the baseline model ResNet-18 model, this study also introduces the more advanced models SE-RegNetY and SEInception-ResNet-V3 models for pest identification in previous studies. Notably, among the three models applied in this study, the SE-Inception-ResNet-V3 model showed excellent results, achieving a significant average overall accuracy of 81.50% and kappa coefficient of 72.24%, which were 10.3% and nearly 14.8% higher than the results of the benchmark ResNet-18 model, respectively. this study marks a further application of deep learning and artificial intelligence in agricultural pest management. By improving the accuracy of agricultural pest identification and classification, it provides the basis and foundation for more sustainable and environmentally friendly pest control methods. © 2024 IEEE.

关键词： Agriculture Deep Learning Techniques Image processing Pest Identification Wheat

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A Temporal RDF(S) Construction Method Based on Temporal Relational Database 7

A Temporal RDF(S) Construction Method Based on Temporal Rela...

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7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Xu, Zihan Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Jiangsu Nanjing210016 China

ISBN: (纸本)9781665478571

RDF(S) is widely used in the fields of semantic extraction, unified organization and intelligent processing of big data due to its machine understandability. Considering that classical RDF(S) can only express static semantic information, many temporal RDF models have been proposed. However, the automatic construction of temporal RDF based on different data sources, especially the temporal relational database that has been extensively researched and commercialized, is still an urgent problem to be solved. therefore, we put forward, in this paper, a general temporal RDF(S) model, which contains a temporal RDFS layer and a temporal RDF layer. On the basis, we propose a method including mapping rules and building algorithms of extracting data from temporal relational databases and building corresponding temporal RDF(S). the method not only consider the relational semantics and constraints of the database, but also consider the temporal semantics, which can fully extract semantic information contained in the database. Finally, a prototype system named tRDB2tRDF is implemented to validate method performance. the experimental results show that our method is feasible and effective. © 2022 IEEE.

关键词： Data mining

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Optimisation of Aluminium Electrolysis Current Efficiency Based on Multi-Strategy Improved Dung Beetle Optimisation Algorithm 24

Optimisation of Aluminium Electrolysis Current Efficiency Ba...

引用

2024 7th international conference on computer information Science and Artificial Intelligence, CISAI 2024

作者： Xu, Tong Fang, Yinglan Liao, Lianjun School of Information North China University of Technology Beijing China

ISBN: (纸本)9798400707254

Aluminum electrolysis is a complex production process, and current efficiency is crucial. this paper proposes a Multi-Strategy Improved Dung Beetle Optimization Algorithm (MSIDBO) to optimize the current efficiency of aluminum electrolysis, addressing the issues of low convergence accuracy and tendency to get trapped in local optima that are common with traditional algorithms. By initializing the population with chaotic mapping, introducing the Levy flight strategy, and dynamically adjusting the optimal solution, the algorithm’s global optimization capability and convergence speed are enhanced. Experimental results show that MSIDBO outperforms other algorithms on the CEC2022 test functions and, combined with the AMFormer model, successfully optimizes the production parameters of aluminum electrolysis, significantly improving current efficiency and reducing energy consumption. © 2024 Copyright held by the owner/author(s).

关键词： Aluminum electrolysis

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Implications from Analysis of Judiciary Court Rulings on Personal information in Korea 7

Implications from Analysis of Judiciary Court Rulings on Per...

引用

7th IEEE/ACIS international conference on Big Data, Cloud Computing, and Data Science, BCD 2022

作者： Kim, Naray Kang, Hye Young Kwon, Hun Yeong Korea University School of Cybersecurity Seoul Korea Republic of

ISBN: (数字)9781665465823

ISBN: (纸本)9781665465823

the objective of this study is to propose a set of criteria that will facilitate safe processing of personal information in preparation for the inevitable big data learning process based on personal information needed for the development of AI technology. To achieve this goal, a number of relevant legal precedents on providing AI technology services from the judiciary courts of Korea and the Constitutional Court of Korea have been selected. the selected precedents were classified and analyzed based on the level of ambiguity in interpretation of legal principles of 'recognition as personal information (identifiability)', 'applicability of privacy regulations and laws', and 'lawful processing of personal information' from the two laws governing personal information in Korea, the Personal information Protection Act and the Act on Promotion of information and Communications Network Utilization and information Protection. this paper will propose a set of specific criteria that can be used when applying legal judgement for personal information protection based on the implications drawn from analysis of the selected precedents by the classification type of the legal cases. Also, this paper hopes that the criteria proposed will serve as base data that can be used to help legal interpretation and judgement in promoting the use of personal information to help facilitate AI services in the near future. © 2022 IEEE.

关键词： Classification (of information)

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Estimation of Facial Emotion Based on Landmark Points by Applying Artificial Intelligence and Machine Learning 7

Estimation of Facial Emotion Based on Landmark Points by App...

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2023 7th international conference On Computing, Communication, Control And Automation, ICCUBEA 2023

作者： Osman Abdalraheem, Mohammed Hassan Hossain, Mohammad Alamgir Ahmed Hamdan, Alfadil Kechadi, M. Tahar Limker, Suresh Jazan University Department of Information Technology Saudi Arabia Jazan University Department of Computer Science Saudi Arabia Sudan University of Science and Technology Department of Computer Science Sudan School of Computer Science University College Dublin Dublin Ireland Aissms Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India

ISBN: (纸本)9798350304268

In the science of emotion processing, it is hard to figure out how to predict an emotion from naturalistic facial expressions in a multidimensional space. While many studies and works have been done to develop methods for making accurate predictions, relatively little has been done to put the uniqueness of the human face to use in reading and responding to people's expressions of emotion. this work proposes an emotional image retrieval strategy for multimodal emotion detection. this strategy is based on the fact that face features are always there and that the human face has regional redundancy that is independent of face features. Our method uses landmark points to get rid of unnecessary information about facial expressions and focus on the most attractive ones in each frame. It's possible that by making use of the landmarks, we'll be able to predict facial emotions more precisely. this is especially helpful for long-term emotion prediction since it allows us to recover time and space representations by introducing an emotional face. the preliminary results based on a benchmark dataset show that the proposed method exceeds its competitors in terms of prediction accuracy. © 2023 IEEE.

关键词： emotion prediction facial expression landmark point LBP method

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