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检索条件"任意字段=Proceedings of the 7th International Conference on Algorithms, Computing and Systems"

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Challenges' Strategies in Virtual Robocup Standard Platform League 7

Challenges' Strategies in Virtual Robocup Standard Platform ...

引用

7th Asian conference on Artificial Intelligence Technology, ACAIT 2023

作者： Wang, Zijian Liu, Hongjiang Chen, Pingchuan He, Yinuo Zhu, Lingyun Liangjiang International College ChongQing University of Technology ChongQing China College of Computer Science And Engineering ChongQing University of Technology ChongQing China

ISBN: (纸本)9798350359145

the RoboCup, an international competition, necessitated an innovative approach in 2022 due to its transition to an online format in China, prompted by an epidemic. this shift demanded the development of more specialized algorithms for the competition. In response to this, we devised a unique algorithm for each challenge. For Challenge 1, we implemented a streamlined greedy algorithm, which rounded the target points to minimize the total time expenditure. In Challenge 2, we adopted an automated obstacle avoidance strategy. For Challenge 3, we calculated the kick angle in real-time to enhance the synergy between the two robots, employing the Sector-angle method to select the optimal shot or pass angle. Our algorithm showed excellent results in the competition, ranking first in the country. In the practical test, our cumulative scores for the three challenges remained consistent at 163.18, 33.65, and 4.8, significantly improving from the pre-optimization scores of 196.2, 51.78, and 3.5, respectively. this indicates the precise and reliable nature of our algorithms. In particular, the sector angle method was notably influential in Challenge 3, swiftly calculating the ideal angle with exceptional accuracy. Before improvements, the algorithm in this project only managed to score 3.5, which was substantially improved post-optimization. Moving forward, these algorithms can be further optimized and adapted to meet the demands of future scenarios. © 2023 IEEE.

关键词： Competition

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Analyzing the Impact of Hydrogen in the Operation of Electric Power Generation 7

Analyzing the Impact of Hydrogen in the Operation of Electri...

引用

7th international conference on Green Technology and Sustainable Development, GTSD 2024

作者： Van Tien thang, Nguyen Khanh, Bach Quoc Tien, Dinh Xuan Duy, Tran Khac Loc, Huynh Duy Huy, Huynh Gia Nghia, Le Trong Anh, Quyen Huy Hcmc University of Technology and Education Faculty of International Education Ho Chi Minh city Viet Nam Hcmc University of Technology and Education Faculty of Electrical and Electronics Engineering Ho Chi Minh city Viet Nam

ISBN: (纸本)9798350386073

this paper proposes the blending process between Hydrogen and natural gases providing optimal power and efficiency for the production method and power generation from Hydrogen or combining Hydrogen and other gases. this process involves the blending procedure between Hydrogen and natural gases, which can be achieved through compressing air by utilizing the Brayton cycle. then, it is burned with Hydrogen or a combination of Hydrogen and Natural Gases. this process creates high pressure to rotate the turbine connected to an electric motor shaft that convert mechanical energy into electrical energy. In this article, the blending technique between Hydrogen gas and natural gases is considered. Especially, the blending ratio between them. the results from the research achieved the most effective blending ratio between 90% Hydrogen and 10% Nitrogen. © 2024 IEEE.

关键词： efficiency gas blending process generating electricity Hydrogen natural gas

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A Scalable Solution for Pneumonia Diagnosis: Transfer Learning for Chest X-ray Analysis 7

A Scalable Solution for Pneumonia Diagnosis: Transfer Learni...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Haque, Rezaul Sultana, Shayma Prasad, Chandan Hasan, Sayed Fardin, Hasib Sakib, Abdullah Al Malik, Neeru Kaushik, Keshav East West University Department of Cse Dhaka Bangladesh International American University Department of Management Information System United States Pimpri Chinchwad University Department of Computer Science and Engineering Maharashtra Pune India Westcliff University Department of Engineering Management United States Westcliff University Department of Information Technology United States Pimpri Chinchwad University School of Engineering & Technology Maharashtra Pune India Amity University Amity School of Engineering and Technology Punjab India

ISBN: (纸本)9798350350067

the high death rate and rapid spread of pneumonia make it a serious global health concern. the precision of traditional diagnostic techniques is often compromised, particularly in resource-limited settings. Existing studies have predominantly focused on either binary or multi-class classification, often relying on limited datasets, which affects the generalizability and robustness of models. Additionally, the interpretability and transparency of deep learning models remain challenging in clinical environments. Addressing these challenges is crucial for advancing diagnostic methodologies to combat pneumonia. this study explores the use of transfer learning to improve the reliability of pneumonia classification using chest X-ray images. An automated classification system was developed, utilizing a combination of image preprocessing techniques, feature extraction with GLRLM, and various machine learning and transfer learning algorithms. Two datasets were employed: the GWCMCx dataset with 5856 chest X-rays and another dataset comprising 9207 chest X-rays. the system was designed for both binary and multi-class classification scenarios. CapsuleNet emerged as the most effective model, achieving an accuracy of 99.02% in binary classification and 90.43% in multi-class classification, significantly outperforming previous studies. Additionally, a user-friendly web application was developed to facilitate the integration of the classification system into clinical workflows, accelerating clinical decision-making. this study demonstrates the potential of transfer learning to automate and improve pneumonia diagnosis, offering a scalable solution that can alleviate radiologists' workload and improve patient outcomes. © 2024 IEEE.

关键词： Transfer learning

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proceedings - 2020 7th international conference on Dependable systems and their Applications, DSA 2020

Proceedings - 2020 7th International Conference on Dependabl...

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7th international conference on Dependable systems and their Applications, DSA 2020

ISBN: (纸本)9780738124223

the proceedings contain 86 papers. the topics discussed include: data link network technology of UAV system;architecture of security protection technology for aviation cyberspace;a coverage-based effective data augmentation framework;a formal verification method for smart contract;a middle layer abstraction-based open platform for V2X safety and application study;a rapid test method for autonomous ability of unmanned control strategy in dangerous situations;a real-time information exchange strategy for big data volume systems based on Internet of things;a smart meter-reading framework with secret key sharing and support vector machine algorithms;and AdaBoost-based refused bequest code smell detection with synthetic instances.

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Speech Recognition and Neural Networks based Talking Health Care Bot (thCB): Medibot 7

Speech Recognition and Neural Networks based Talking Health ...

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Bandopadhyay, Dwaipayan Ghosh, Rajdeep Chatterjee, Rajdeep Das, Nabanita Sadhukhan, Bikash Department of CSE Techno International New Town Kolkata India

ISBN: (纸本)9781665464086

the COVID-19 pandemic has affected healthcare in several ways. Some patients were unable to make it to appointments due to curfews, transportation restrictions, and stay-at-home directives, while less urgent procedures were postponed or cancelled. Others steered clear of hospitals out of fear of contracting an infection. With the use of a conversational artificial intelligence-based program, the Talking Health Care Bot (thCB) could be useful during the pandemic by allowing patients to receive supportive care without physically visiting a hospital. therefore, the thCB will drastically and quickly change in-person care to patient consultation through the internet. To give patients free primary healthcare and to narrow the supply-demand gap for human healthcare professionals, this work created a conversational bot based on artificial intelligence and machine learning. the study proposes a revolutionary computer program that serves as a patient's personal virtual doctor. the program was carefully created and thoroughly trained to communicate with patients as if they were real people. Based on a serverless architecture, this application predicts the disease based on the symptoms of the patients. A Talking Healthcare chatbot confronts several challenges, but the user's accent is by far the most challenging. this study has then evaluated the proposed model by using one hundred different voices and symptoms, achieving an accuracy rate of 77%. © 2023 IEEE.

关键词： Machine learning

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Review of Deep Learning approaches for Conversational Artificial Intelligence 7

Review of Deep Learning approaches for Conversational Artifi...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Behl, Vivek Bibhu, Vimal Noida International University Department of Computer Science and Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

Conversational Artificial Intelligence (CAI) is now part of our life as we can find conversational agents everywhere in every kind of devices which make our life easy. Conversation assistants like Amazon Alexa, I-Phone Siri are now readily available. But development of these agents is not that easy, to model an agent that can understand the input (text, voice, and image) in natural language is a difficult task for a machine. We are in this field since long, but this area still remains the hardest one to perform. In our paper we have given a review about how this technology has grown till date. From handwritten rules to train the machine through deep learning methodology CAI has grown beautifully but has yet to blossom. the reason behind the slow growth of CAI is the natural language of humans, every country, states and even cities inside the state have different language or the different accent moreover to mimic the trait of humans in machines to naturally think about any topic in this world and to respond to same is the hardest part. In the end we have discussed how transformer-based model has improved the accuracy and future work regarding the same. © 2024 IEEE.

关键词： Chatbots

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Internet threats and ways to protect against them: A brief review 13

Internet threats and ways to protect against them: A brief r...

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13th international conference on Cloud computing, Data Science and Engineering, Confluence 2023

作者： Mambetov, Saken Begimbayeva, Yenlik Joldasbayev, Serik Kazbekova, Gulnur Al-Farabi Kazakh National University Almaty Kazakhstan Al-Farabi Kazakh National University Associate the Department of Information Systems Almaty Kazakhstan International It University The Department of Computer Engineering Almaty Kazakhstan Khoja Akhmet Yassawi International Kazakh-Turkish University Department of Computer Engineering Turkistan Kazakhstan

ISBN: (纸本)9781665462631

Since the 21st century is the century of information technology, there are now a large number of Internet users, and the number of these users is steadily growing. Most people know the useful aspects of this network, but there are dangerous aspects of the Internet, which are reviewed in this paper. Today there are many types of threats such as phishing attacks, spam messages, malware, worms, spyware, Trojans, rooters, botnets. the main principle of protection against these threats is information and cyber literacy of using the Internet. the main purpose of this article is a summary of Internet threats based on a review of articles by previous researchers, as well as the definition of types of threats and attacks. As a result of the study, threats were filtered into two main types: threats of social engineering, where the main emphasis is on the information carrier, and technical threats, where various methods, algorithms and software implementations are used to hack directly into a computing device containing information. © 2023 IEEE.

关键词： Information filtering

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7th international Hybrid Power Plants and systems Workshop, HYB 2023

7th International Hybrid Power Plants and Systems Workshop, ...

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7th international Hybrid Power Plants and systems Workshop, HYB 2023

ISBN: (纸本)9781839539091

the proceedings contain 21 papers. the topics discussed include: toward high levels of renewables in the French insular systems;how to quickly transition from 0% to 100% renewable energy on an island in the northwest corner of Europe?;fixed-frequency operation of an island grid with multiple grid-forming inverters and GPS-based synchronization;transient stability study for a developing island power system with increasing shares of VRE;coordinated control of hydrogen production based on wind power generation;developing the GEO-techno-economic analysis of hydrogen ecosystems;how efficient can hydrogen be? hydrogen technologies and their limits of optimizibility;techno-economic modelling of stationary energy storage systems with focus on temperature's influence on aging;optimal operation of hybrid power plants: a case study of an operation park in Sweden;and techno-economic viability of pumped hydropower plants in Germany, with focus on battery hybridization.

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7th international conference on Signal and Information Processing, Networking and Computers, ICSINC 2020

7th International Conference on Signal and Information Proce...

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7th international conference on Signal and Information Processing, Networking and Computers, ICSINC 2020

ISBN: (纸本)9789813341012

the proceedings contain 129 papers. the special focus in this conference is on Signal and Information Processing, Networking and Computers. the topics include: the introduction and prospect of extended range forecasting in 11~30 days at the national meteorological center in china;cross-screen tracking method based on user behavior data;a virtual optical network mapping algorithm based on machine learning;big data ecological platform architecture design and construction practice in telecommunication operators;an evaluation model of user lifetime value based on improved rfm and ahp method;sharing c-band frequency between satellite and terrestrial 5g communication systems;architecture and technology of multi-source heterogeneous data system for telecom operator;intelligent detection of network coverage problems based on the clustering algorithm;exploration and practice of China unicom multi-scene capability construction and open platform for large-scale heterogeneous data;poc testing analysis of big data products;the next generation identity platform for digital era based on blockchain;research on rulebase metamodel construction and management;kubernetes realizes the cloud & network cooperation based on hardware sdn controller;data visualization of 5g speed test platform using tableau;intelligent mobile communication network plan for 5g based on insight big data;research and application of precision marketing algorithms for etc credit card based on telecom big data;lunar observation research on low-orbit remote sensing satellites;soc design and implementation of can 2.0 protocol toward satellite applications;remote sensing satellite rapid response technology based on orbit maneuver;angular momentum management design and on orbit verification of geo navigation satellite;preface.

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proceedings of the 7th international conference on Electrical Energy systems, ICEES 2021

Proceedings of the 7th International Conference on Electrica...

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7th international conference on Electrical Energy systems, ICEES 2021

ISBN: (纸本)9781728176123

the proceedings contain 119 papers. the topics discussed include: fraud detection and prevention using machine learning algorithms: a review;impacts of high rooftop PV penetration in distribution network and its mitigation using DSTATCOM;a review of dynamic charging of electric vehicles;a novel investigation on single-input three-output DC-DC buck converter for electrical vehicles;performance improvement of standalone battery integrated hybrid system;testing the feasibility of dynamic mode decomposition for short term load forecast;transformer breather thermal image decomposition for fault diagnosis;optimal reactive power dispatch considering load uncertainty for security enhancement using JAYA algorithm;and investigation on photovoltaic system based asymmetrical multilevel inverter for harmonic mitigation.

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