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检索条件"任意字段=International Conference on Advances in Information Communication Technology and Computing"

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Design and Analysis of Satellite Constellation Systems for Global Coverage and Capacity 15

Design and Analysis of Satellite Constellation Systems for G...

引用

15th international conference on computing communication and Networking Technologies, ICCCNT 2024

作者： Mishra, Mukul Vijayalakshmi, G. Reddy, B. Manjula, M. Rathi, Snehal R. Hemelatha, S. Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research for Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India School of Sciences Department of Physics & Electronics Karnataka Bangalore India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore641021 India

ISBN: (纸本)9798350370249

This paper explores the layout and analysis of satellite constellation systems for worldwide insurance and capacity, with unique cognizance on geostationary orbit (GEO) structures as well as low Earth orbit (LEO) and medium Earth orbit (MEO) constellations. It starts off evolved by way of describing the technical necessities of such networks, which include the quantity of satellites inside the constellation, the orbital parameters, the system architecture and the communications era in vicinity, and examines the advantages and challenges associated with every solution. The paper then presents a top level view of the related value, trade-offs, and affects associated with numerous nominal layout parameters which includes latency decision, latency, structural complexity, payload capacity, and electricity. an in depth analysis of optimization techniques used to reduce the value and maximize the performance of the constellation is also supplied, with unique dialogue on the role of community topology and the type of orbit choice. Subsequently, the paper gives some practical insights related to the implementation and operation of a constellation system, similarly summarizing the predicted blessings in phrases of progressed insurance, ability, and latency for global packages. © 2024 IEEE.

关键词： Geostationary satellites

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BER Analysis of Hybrid LPPM-POLSK-SIM Over Double Generalized Gamma Distribution Incorporating Zero Boresight Pointing Error 4

BER Analysis of Hybrid LPPM-POLSK-SIM Over Double Generalize...

引用

4th international conference on advances in computing, communication Control and Networking, ICAC3N 2022

作者： Agrawal, Shreyanshi Saini, Siddharth Sharma, Tushar Rani, Rekha Lakshmanan, M. Galgotias College of Engineering and Technology Department Electronics and Communication Greater Noida India

ISBN: (纸本)9781665474368

Free Space Optical (FSO) communication transmits the information using light propagation in the free space permitting optical connectivity. So, there is no necessity for optical fiber cables. FSO provides the solution for the requirement of large bandwidth and high speed for data transmission. Here, we use hybrid modulation scheme LPPM-POLSK-SIM using Double GG distribution in FSO in presence of a generalized pointing error model consisting of normalized spatial jitter effect as well as zero boresight displacement effect. Afterwards, we look at how it performs in terms of average bit error rate for plane waves under weak, moderate and strong turbulent conditions. For all values of L, simulation findings demonstrate that BER is less with least value of L and under weak turbulence conditions than with a moderate or strong turbulence condition. © 2022 IEEE.

关键词： Signal to noise ratio

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An Adaptive method for solving differential equations 2

An Adaptive method for solving differential equations

引用

2nd international conference on Statistics, Applied Mathematics, and computing Science, CSAMCS 2022

作者： Li, Li School of Data Science and Intelligent Media Communication University of China Beijing100024 China

ISBN: (纸本)9781510663183

In this paper, the idea of equal arc length method is proposed, and the solver is designed successfully. Through a series of numerical experiments, I found that the equal arc length method can effectively solve the initial value problem of the first order ordinary differential equation, and it is more efficient than other algorithms. © 2023 SPIE.

关键词： Ordinary differential equations

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Optimization of Energy Efficiency in IoT inside Smart Grids Utilizing Machine Learning and Artificial Intelligence Techniques 1

Optimization of Energy Efficiency in IoT inside Smart Grids ...

引用

1st international conference on advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Thimmappa, Arunkumar Devalapura Singh, Swati Faculty of Engineering and Technology Department of Mechanical Engineering Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331518578

It is possible for hard jobs to be done by machines with the help of machine learning. Computers and cell phones could make it simpler to regulate the temperature inside a smart grid (a SG), keep an eye on security, and do regular repair. The Internet of Things, or IoT, links the different parts of smart buildings together. As the idea of the Internet of Things (IoT) grows, SGs are being added to bigger networks. The Internet of Things (IoT) is a big part of Smart Grid (SG) s as it makes life better for everyone. It is proven that current methods for life support are harmless & work well to keep people alive. The main purpose of this study is to find out why IoT devices are being put in smart buildings as well as the grid. Looking at it this way, the system that serves IoT devices along with the parts that make them up is very important. Smart grid tracking systems that can be set up remotely can make buildings safer and more comfortable for the people who live or work there. Everything from household technology to SGs needs sensors to work and be watched. Devices that are tied to a network should use less power and can be monitored from afar. Their goal is to help people come up with solutions that use AI, IoT, as well as SGs. The writers also look into SG, networking, and machine intelligence. The last thing we do is look at studies on SG along with IoT. A number of parts of the IoT technology are up for discussion. The first part of this study talks about the most popular ways to use machine learning to predict how much energy a building will need. The authors then talk about IoT and the ways it works, along with SG along with smart meters, and these are needed to get real-time energy information. Then, researcher look into how the different smart grid, Internet of things & machine learning parts work together and combine utilizing basic design with layers that are grouped into entities that talk to each other through links. © 2025 IEEE.

关键词： Smart power grids

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Optimization of Energy Management and Anomaly Detection in Smart Grid Analytics Using Deep Learning

Optimization of Energy Management and Anomaly Detection in S...

引用

2024 international conference on Integrated Circuits, communication, and computing Systems, ICIC3S 2024

作者： Ravinder, M. Kulkarni, Vikram Shah, Pintu R. Shah, Ketan Rao, Ashwini MPSTME SVKM'S NMIMS University Dept. of Information Technology Mumbai India

ISBN: (纸本)9798350364088

Effective anomaly detection in power consumption is essential for identifying inefficiencies in distribution networks. This research leverages the Indian Western-region power consumption dataset to evaluate two anomaly detection methods: the Isolation Forest and the OneClass SVM (Support Vector Machine). The Isolation Forest is particularly adept at detecting extreme anomalies in highdimensional data, while the One-Class SVM effectively identifies both major and minor outliers. Upon applying these models to normalized power consumption data, both demonstrate proficiency in identifying irregularities, each with distinctive advantages. The Isolation Forest identifies a concise, distinct group of severe anomalies, whereas the One-Class SVM detects a wider spectrum of irregularities. These results advocate for the integration of these techniques into power monitoring systems to enhance anomaly detection capabilities and operational efficiency. The study underscores the potential of machine learning to revolutionize management practices in power distribution systems. © 2024 IEEE.

关键词： Support vector machines

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Visualizing and analyzing forest fire using YOLOv8 Algorithm

Visualizing and analyzing forest fire using YOLOv8 Algorithm

引用

2024 international conference on communication, computing and Internet of Things, IC3IoT 2024

作者： Nithyashree, S. Robin, Martina Genitha, C. Heltin St. Joseph's College Of Engineering Department Of Information Technology Chennai India

ISBN: (纸本)9798350352689

Forest fires are a serious hazard to both the environment and human lives. Effective firefighting and preventive tactics depend on the prompt and accurate prediction of forest fires. The purpose of this study is to improve the accuracy and efficiency of fire detection in forest regions by introducing a unique method for forest fire prediction utilizing image processing and the You Only Look Once (YOLOv8) algorithm. This approach uses object detection, picture segmentation, edge detection, and other image processing techniques to find possible fire zones in satellite images. Next, the YOLOv8 algorithm is used to precisely identify and locate objects associated to fire. The suggested model successfully discriminate real fire zones and false alarms brought on by ambient light or shadows by combining these methods. The outcomes of the experiments show that the suggested method predicts forest fires with a high degree of accuracy. In addition to early fire detection, the suggested approach reduces false alarms and boosts the effectiveness of fire prevention initiatives as a whole. © 2024 IEEE.

关键词： Fires

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Scrap Collection System E-Commerce Platform: Online Kabadiwala 5

Scrap Collection System E-Commerce Platform: Online Kabadiwa...

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5th IEEE international conference on computing, Power, and communication Technologies, IC2PCT 2024

作者： Sharma, Vijay Kr. Gupta, Agam Kumar, Abhishek Alfahad Singh, Mayank Kumar Meerut Institute of Engineering and Technology Department of Cse Meerut India

ISBN: (纸本)9798350383522

Every day, we hear about the dangers that improper garbage disposal brings to the environment. Since most of the material that ends up in our landfills is still not segregated, it appears that there is no end in sight to the conflict. We all grew up with the custom of The Recycler man, who would visit our homes and gather our carefully sorted newspapers, glass bottles, and various other disposable household items. Online Kabadiwala is an Android and web-based online platform offering door-to-door recycling and scrap collection services. Customers can schedule a specific date and time for scrap collection. Online Kabadiwala uses Open-CV models to perform smart operations and provides useful information on the scrap. In the bigger picture, AI large language models and machine learning algorithms analyze the scrap photographs to provide valuable insights into items. Various insights such as scrap category, age of the item, remaining life of the item, and its resale price. © 2024 IEEE.

关键词： App-based interface door-to-door collection system scrap management

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Design and Implementation of Fast Start and Recovery of CNC System Based on AM335x 12

Design and Implementation of Fast Start and Recovery of CNC ...

引用

12th international conference of information and communication technology, ICTech 2023

作者： Li, Hao Wang, Pin Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China School of Computer Science and Technology University of Chinese Academy of Sciences Shenyang Beijing100049 China

ISBN: (纸本)9798350332919

Based on AM335x processor, this paper completes the fast start and recovery function of CNC system. This function is implemented in Uboot, using MTD technology to partition Nand Flash, configure serial port, LCD, USB and other pin clocks, and modify and add functions that check and update USB files. Finally, the Uboot transplanted on AM335x in this paper shortens the startup time of the CNC system, provides an LCD boot interface, and realizes the function of quickly restoring the CNC system from the U disk. © 2023 IEEE.

关键词： Recovery

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Machine Learning Approaches for Search Intent-Driven Website Optimization 10

Machine Learning Approaches for Search Intent-Driven Website...

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10th international conference on Smart computing and communication, ICSCC 2024

作者： Candrawengi, Ni Luh Putu Ika Dananjaya, Md Wira Putra Universitas Pendidikan Nasional Department of Information Technology Bali Denpasar Indonesia

ISBN: (纸本)9798350363104

Keywords are an important part of a website especially when building awareness for our website. Most users visit a website based on keywords or queries they type in search engines. They will choose the website that matches their intent. So, to make our website appear on top and match user intent, a strategy is needed to optimize our keywords, especially putting the right keywords with the right intent to attract more users. In keyword research, most marketers collect a bunch of keywords without knowing the right intent of the keyword they use on the website. Entering the wrong keywords, especially keywords that do not match the purpose of the content on the website, will bring the wrong users to the website. Thus, machine learning is needed to automatically detect or predict the intent of each keyword that will be used on a website. In this paper, model to predict search intent from query or keyword will be builded using XGBoost and SVM models. From the result, we can see that SVM models perform better in predicting user intent from keywords that users will input. © 2024 IEEE.

关键词： Adversarial machine learning

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On the Physical Layer Security of Hybrid PLC/VLC Network 3

On the Physical Layer Security of Hybrid PLC/VLC Network

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3rd international conference on Intelligent communications and computing, ICC 2023

作者： Zhao, Yuqing Zhao, Xiang Guilin University of Electronic Technology Key Laboratory of Cognitive Radio and Information Processing Guilin China

ISBN: (纸本)9798350308327

The hybrid power line communication (PLC) / visible light communication (VLC) network is a better candidate for supporting low-cost deployment, wide coverage and energy saving for the future indoor communication. In this paper, we study the physical layer security (PLS) for the hybrid PLC/VLC system in the presence of multiple eavesdroppers. More Specifically, the first-hop PLC link serves the VLC system as a backhaul network, and the second-hop VLC link provides the lighting and communication functions. In addition, we set a protected zone to restrict the external eavesdroppers which intend to wiretap confidential information from the relay. On account of the randomness of terminal users' position, the analytical expressions of the secrecy outage probability and secrecy throughput for the proposed framework are derived. Simulations are presented to evaluate the effectiveness of the analytical results with distinct parameters. Then enlarging the radius of protected zone will have a positive impact on the security performance of hybrid PLC/VLC system. © 2023 IEEE.

关键词： Energy conservation

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