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Automation and Computation (AUTOCOM), International Conference on

作者： Tarang Bhatnagar Prithviraj Mohanty Gourav Sood Gopala Krishnan Kehkeshan S Jalall Ankita Agarwal Centre for Interdisciplinary Research for Business and Technology Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Information Technology Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Mangement - PG Management JAIN (Deemed to be University) Bangalore Karnataka Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Electric-powered motors (EVs) are gaining a reputation as an alternative to conventional fuel-powered motors because of their environmental advantages and rising fuel charges. However, their restrained battery range and excessive energy intake are giant limitations to their substantial adoption. To deal with those problems, this venture aims to optimize the battery power performance and energy consumption of EVs for a prolonged variety. First of all, the battery utilization may be optimized through superior electricity control algorithms. This will involve predicting and managing the energy needs of the car via sensible, manipulated structures. By optimizing battery utilization, the overall strength performance of the vehicle will be expanded, making an allowance for an extended range. Secondly, the power intake of the EV can be optimized by using lightweight materials, green motor and drivetrain designs, and advanced regenerative braking systems. This technology will lessen the strength required to strengthen the automobile, further increasing its variety. Moreover, the project will develop clever charging strategies for EV proprietors to price their motors at some stage in off-height hours while energy is cheaper and the grid is less congested. This may reduce energy consumption and improve battery life.

关键词： Energy consumption Temperature distribution Power demand Electricity Motors Prediction algorithms Batteries Temperature control Automobiles Stress

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Novel Antenna Designs for High Data Rate Body-Centric communications in Wearable Devices

Novel Antenna Designs for High Data Rate Body-Centric Commun...

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Automation and Computation (AUTOCOM), International Conference on

作者： Ishika Soni Manjunatha R V Vijaya Baskar Daljeet Pal Singh Komal Parashar Niranjan Panda Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Sciences Data analytics and Mathematical Sciences JAIN (Deemed to be University) Bangalore Karnataka India Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Engineering Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

There is an ever-increasing demand for high data rate communication embedded in wearable devices owing to the exponential growth of smart devices and related technology. The human body is always around, which means that traditional antenna designs will not work well with body-centric communications operations, as signal loss and interference from the presence of the human body must be addressed. This project addresses this limitation by designing new body-centric communications antenna designs for incorporation into wearable devices. Antennas proposed in the literature can use novel techniques that reach high data rates while providing reliable communication links and features like compactness, low power consumption, and multi-band functionalities. The designs are optimized to ensure that the human body has a minimal effect on the signal enhancing performance and stability. The antennas are designed and simulated using advanced simulation tools and validated in the lab. These findings demonstrate the remarkable advantages of high-speed data transmission and link quality compared to traditional antennas. It contributes to developing novel antenna designs that wearable device manufacturers can incorporate into high data rate body-centric communications, enabling dramatically improved performance within tight space constraints. This will make it possible to create next-generation wearable devices with communication functions for applications ranging from healthcare and sports to virtual reality.

关键词： Performance evaluation Training Design methodology Transmitting antennas Clothing Virtual reality Stability analysis Reliability Wearable devices Antennas

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An Improved Digital Signal Processing for Signal Enhancement and Interference Mitigation

An Improved Digital Signal Processing for Signal Enhancement...

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Automation and Computation (AUTOCOM), International Conference on

作者： Intekhab Alam Paramjit Baxi Barnali Sahoo Mohan Garg Roopashree R Thaj Mary Delsy T Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Engineering Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Sciences Chemistry and Biochemistry JAIN (Deemed to be University) Bangalore Karnataka India Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Digital Signal Processing has become a fundamental tool in signal processing applications, such as speech and image processing, due to its ability to manipulate and examine signals in a digital form skillfully. A primary challenge in signal processing involves the presence of unwanted noise and interference, which can negatively impact the precision and quality of the processed signal. The proposed advanced DSP approach aims to improve signal enhancement and interference mitigation techniques using sophisticated algorithms and methods. The proposed state-of-the-art DSP approach includes noise reduction algorithms, such as adaptive filtering and spectral subtraction, to eliminate unwanted noise from the signal. Additionally, cutting-edge signal processing techniques, such as wavelet transforms and time-frequency analysis, are used for signal enhancement and demising. The proposed approach employs adaptive equalization techniques to mitigate interference from other signals and substantially improve the overall signal quality. The enhanced DSP approach is evaluated through simulation and real-world experiments, demonstrating its effectiveness in improving signal quality and reducing interference considerably. The proposed approach has the potential to significantly improve the accuracy and reliability of various signal processing applications considerably, making it a valuable tool in fields such as telecommunications, audio and video processing, and medical signal analysis.

关键词： Wireless communication Wavelet transforms Time-frequency analysis Accuracy Prevention and mitigation Signal processing algorithms Interference Digital signal processing Wavelet analysis Telecommunications

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TourLLM: Enhancing LLMs with Tourism Knowledge

arXiv

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arXiv 2024年

作者： Wei, Qikai Yang, Mingzhi Wang, Jinqiang Mao, Wenwei Xu, Jiabo Ning, Huansheng School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Key Laboratory of Xinjiang Coal Resources Green Mining Ministry of Education Xinjiang Institute of Engineering Urumqi830023 China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083 China Guangxi Tourism Development One-Click Tour Digital Cultural Tourism Industry Co. Ltd. Guangxi530012 China

Recently, large language models (LLMs) have demonstrated their effectiveness in various natural language processing (NLP) tasks. However, the lack of tourism knowledge limits the performance of LLMs in tourist attraction presentations and travel planning. To address this challenge, we constructed a supervised fine-tuning dataset for the culture and tourism domain, named Cultour. This dataset consists of three parts: tourism knowledge base QA data, travelogues data, and tourism diversity QA data. Additionally, we propose TourLLM, a Qwen-based model supervised fine-tuned with Cultour, to improve the quality of the information provided about attractions and travel planning. To evaluate the performance of TourLLM, we employed both automatic and human evaluation, and we proposed a human evaluation criterion named CRA (Consistency, Readability, Availability). The experimental results demonstrate the effectiveness of the responses generated by the TourLLM. Our proposed Cultour is accessible at https://***/mrweiqk/Cultour. Copyright © 2024, The Authors. All rights reserved.

关键词： Natural language processing systems

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Time-series Data Imputation for Improved Prediction of PM10 Pollutant in Northern Thailand

Time-series Data Imputation for Improved Prediction of PM10 ...

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International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)

作者： Seng Nu Pan Kumgyi Somrudee Deepaisarn Thepchai Supnithi Tsuhoshi Isshiki Titaporn Supasri Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand National Electronics and Computer Technology Center National Science and Technology Development Agency Pathum Thani Thailand Department of Information and Communication Engineering Tokyo Institute of Technology Tokyo Japan Atmospheric Research Unit National Astronomical Research Institute of Thailand Chiang Mai Thailand

Air pollution has become a big issue in the Northern part of Thailand due to forest fires, human activities, and seasonal climate. The air pollutant particulate matter (PM10) measurements from the Pollution Control Department (PCD) stations contain some missing values, which limit the capability in time-series prediction of future pollutant quantity. This research performs a preliminary study of PM10 time-series data imputation in three provinces in Thailand, including Chiang Mai, Lampang, and Nan. The evaluation was performed using three imputation methods: k-nearest neighbours (KNN), last observation carried forward (LOCF), and nearest observation carried backward (NOCB). NOCB obtains the highest R 2 , the lowest mean absolute error (MAE), and the lowest root mean squared error (RMSE) when tested with mimic missing data at varied proportions, ranging from 5% to 25% of the entire data. Imputed data as a result of NOCB underwent time-series data prediction of PM10 using long short-term memory (LSTM)-based neural networks. Prediction models were trained and tested based on the data splitting ratio of 80:20 from 2019 to 2020. The PM10 prediction model trained using imputed data leads to accurate prediction of unseen future data, achieving the R 2 values of approximately 0.92.

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Evaluation of the Solar Heat Pipe with Aluminium Tube Collector in different Environmental Conditions

Evaluation of the Solar Heat Pipe with Aluminium Tube Collec...

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Innovation in Technology (ASIANCON), Asian Conference on

作者： Kamya Pithode Devendra Singh Rishabh Chaturvedi Bhawna Goyal Ayush Dogra Ahmed Hasoon Dawa Chyophel Lepcha Department of Computer Science Engineering IES College of Technology Bhopal Madhya Pradesh Department of Computer Science Engineering Uttaranchal Institute of Technology Uttaranchal University Dehradun India Department of Mechanical Engineering GLA University Mathura Mathura University Center for Research and Development Chandigarh University Mohali Punjab India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Medical Technical College Al-Farahidi University Iraq Department Electronics and Communication Engineering Chandigarh University Mohali Punjab India

Based on the energy transfer mechanism, a model for a solar heating system is established in the current study. In addition, heat pipe-oriented solar collectors offer the most viable technology for many uses. The thermal performance of contemporary solar collectors using heat pipes is superior to that of traditional solar collectors. Heat pipes technology is gaining popularity as a passive energy transmission method due to their good thermal performance. In this research, a solar photovoltaic thermal heat pipe's thermal and electrical efficiency are analyzed using modeling and simulation. This study was conducted under an innovative wide range of climatic circumstances. This research explores a solar heat pump heating system that makes use of a tubular collector made of aluminum. More research is needed to fully understand the financial implications of using heat pipes in solar collectors. The results show that both the amount of solar radiation and the wind speed have a major impact on the heat transfer performance of the aluminum tubular collector.

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Application-Specific Image and Video Processing Techniques for Security and Surveillance

Application-Specific Image and Video Processing Techniques f...

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International Conference on Computing and Networking Technology (ICCNT)

作者： G Kalanandhini Amritpal Sidhu H Malathi Suruchi G. Dedgaonkar K. Ranjith Singh Sourav Rampal Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India School of Sciences Biotechnology and Genetics JAIN (Deemed to be University) Bangalore Karnataka India Department of Information Technology Vishwakarma Institute of Technology Pune INDIA Department of Computer Science Karpagam Academy of Higher Education Coimbatore India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Utility-particular photo and video processing strategies for protection and surveillance are a set of algorithms and techniques used to procedure and examine pictures and motion pictures captured by protection and surveillance systems. These techniques are used to discover and understand items and identify suspicious activities and music-shifting objects in actual time. Common strategies include motion detection, item recognition, facial recognition, item monitoring, and anomaly detection. Those strategies are used to enhance the accuracy and efficiency of security and surveillance structures and to provide extra dependable and relaxed monitoring.

关键词： Accuracy Surveillance Face recognition Streaming media Motion pictures Real-time systems Motion detection Security Object recognition Protection

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Fuel Economy Optimization for Different Drive Cycles in Hybrid Electric Vehicle

Fuel Economy Optimization for Different Drive Cycles in Hybr...

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International Conference on Innovative Sustainable Computational Technologies (CISCT)

作者： Kanchan Yadav Nishesh Nigam Sanjeev Kumar Shah Ahmed Akhayyat Shashank Pareek Jasgurpreet Singh Chohan Department of Electrical Engineering GLA University Mathura Dept. of Computer Science and Engg. IES College of Technology Bhopal IES University Bhopal Electronics & Communication Engineering Department Uttaranchal Institute of Technology Uttaranchal University Dehradun India College of Technical Engineering The Islamic University Najaf Iraq Dept. of Computer Science and Engg. Chandigarh University Mohal India University Centre for Research and Development Chandigarh University Mohali India

The important control parameters for the hybrid electric vehicle are the lower and upper limit of state of charge (SOC). This SOC of the vehicle directly affects the economy and the emission rates. In this work, the parallel HEV is modelled by using ADVISOR (Advanced Vehicle Simulator). Different SOC limits are taken for testing the emission performance and fuel economy for the same designed driving cycles. With the simulation results we will be able to specify best upper and lower limits of SOC such that vehicle will achieve optimum fuel economy and emission performance. For control and energy management, the most important factor which needs to be taken into concern is the 'State of Charge (SOC)‘ value for the battery. Practically 20 % to 80% is the range which is usually set for the state of charge constraint The simulation is performed by taking repetitive velocity profiles (drive cycles) of two different curves i.e., UDDS (Urban Dynamometer Driving Schedule) and ECE. The SOC and emission curves are observed for these different drive cycles and the results having emission rates for HC, CO and NOx (in g/miles) are tabulated. This study's results shed light on why and how SOC caps affect HEVs' gas mileage and pollution ratings. The vehicle's total efficiency and environmental effect can be improved by identifying the ideal SOC range for various driving cycles. These findings can be used to inform the evolution of control and energy management systems for HEVs, leading to a more environmentally friendly and efficient transportation network in the future.

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Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition

arXiv

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arXiv 2023年

作者： Khishe, Mohammad Mohammadi, Mokhtar Rashid, Tarik A. Mahmud, Hoger Mirjalili, Seyedali Department of Marine Electronics and Communication Engineering Imam Khomeini Marine Science University Nowshahr Iran Department of Information Technology College of Engineering and Computer Science Lebanese French University KR Iraq Computer Science and Engineering Department Science and Engineering Science University of Kurdistan Hewler KR Erbil Iraq Department of Computer Science College of Science and Technology University of Human Development KR Sulaymaniyah Iraq Centre for Artificial Intelligence Research and Optimization Torrens University Australia Yonsei Frontier Lab Yonsei University Seoul Korea Republic of

This chapter proposes using the Moth Flame Optimization (MFO) algorithm for fine-tuning a Deep Neural Network to recognize different underwater sonar datasets. Same as other models evolved by metaheuristic algorithms, premature convergence, trapping in local minima, and failure to converge in a reasonable time are three defects MFO confronts in solving problems with high-dimension search space. Spiral flying is the key component of the MFO as it determines how the moths adjust their positions in relation to flames;thereby, the shape of spiral motions can regulate the transition behavior between the exploration and exploitation phases. Therefore, this chapter investigates the efficiency of seven spiral motions with different curvatures and slopes in the performance of the MFO, especially for underwater target classification tasks. To assess the performance of the customized model, in addition to benchmark Sejnowski & Gorman's dataset, two experimental sonar datasets, i.e., the passive sonar and active datasets, are exploited. The results of MFO and its modifications are compared to four novel nature-inspired algorithms, including Heap-Based Optimizer (HBO), Chimp Optimization Algorithm (ChOA), Ant Lion Optimization (ALO), Stochastic Fractals Search (SFS), as well as the classic Particle Swarm Optimization (PSO). The results confirm that the customized MFO shows better performance than the other state-of-the-art models so that the classification rates are increased 1.5979, 0.9985, and 2.0879 for Sejnowski & Gorman, passive, and active datasets, respectively. The results also approve that time complexity is not significantly increased by using different spiral motions. © 2023, CC BY.

关键词： Deep neural networks

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Artificial intelligence in impact damage evaluation of space debris for spacecraft

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Frontiers of Information Technology & Electronic engineering 2022年第4期23卷 511-514页

作者： Weimin BAO Chun YIN Xuegang HUANG Wei YI Sara DADRAS China Aerospace Science and Technology Corporation Beijing 100048China School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Hypervelocity Aerodynamics Institute China Aerodynamics Research and Development CenterMianyang 621000China School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Electrical and Computer Engineering Department Utah State UniversityUT 84321USA

Since the first artificial satellite was launched in 1957,increasing human space activities have led to a deteriorating space debris environment.A huge amount of tiny space debris(from millimeter to micron level)appears in the Earth’s orbit,and its hypervelocity impact will cause serious damage to the structure and functional units of the spacecraft,including cabin’s outer surface,thermal barrier materials,thermal con-trol coatings,solar panels,pipes,and *** ensure the safe operation of spacecraft and the completion of space missions.

关键词： debris damage impact

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