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Smart University Application: Internet of things (IoT)-Based Smart and Random Method to Collect Waste Management System in a University Campus by Using Ant Colony Optimization (ACO) Algorithm 5th

Smart University Application: Internet of Things (IoT)-Based...

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5th International conference on Computer and Communication Technologies, IC3T 2023

作者： Subrahmanyam, Voore Bhaskar, T. Reddy, Chandra Sekhar Suresh, Mandala Rao, V. Chandra Shekhar Department of CSE Anurag University Telangana Hyderabad India Department of CSE CMR College of Engineering and Technology Telangana Hyderabad India Department of CSE & AI SR University Telangana Warangal India Department of CSE Kakatiya Institute of Technology and Science Telangana Warangal India

ISBN: (纸本)9789819997060

the paper is focusing the importance of NIC algorithms for Internet of things (IoT) to find the shortest path to collect waste management efficiently in the university campus by applying Ant Colony Optimization (ACO) algorithm. ACO algorithm is in the category of Swarm Intelligence (SI) algorithms. the SI algorithms are one of the category of NIC algorithms. Nowadays institutions are facing waste management problem due to non-proper management of waste collection in a campus. It requires new solutions to solve in an intelligent way. the proposed paper is efficiently designed to optimize waste collection to reduce cost as well as pollution affecting environment in campus. In this system the truck bins are integrated with IoT-based ultra-sonic sensor to measuring filled level of waste, temperature and carbon dioxide inside of truck bins. the aim of the paper is applying ant colony optimization (ACO) algorithm in an efficient way to optimize to randomly collect garbage waste-filled trash bins in the campus. the proposed system shows better results by improving 75% minimized route, minimized fuel cost, minimized time, minimized environmental pollution and maximized efficient routing. the proposed IoT-based waste garbage collection by ACO algorithm is to efficiently optimize waste management system in university campus. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Ant colony optimization

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Expedition Management systems and Package Placement Optimization

Expedition Management Systems and Package Placement Optimiza...

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Innovative Research in Applied science, Engineering and Technology (IRASET),conference on

作者： Rita Layona Budi Yulianto Yovita Tunardi Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

the practice of social distancing has changed people's shopping style from onsite to online through e-commerce. this has increased the need for expeditions to deliver packages from a seller to buyers. Expedition companies need to improve efficiency in terms of the shortest route and the procedure for arranging packages. the development of this system uses the Kruskal algorithm to determine the shortest route (by using minimum spanning tree method) and the Greedy algorithm to arrange packages into a basket. the result of this study is an expedition management system that optimizes the delivery distance and the number of packages sent. this system can determine the shortest travel route from one warehouse to another. In addition, the optimization of the number of packages sent by taking into account the volume and weight of the packages transported. the system provides convenience and speed in arranging packages into a basket if the number of packages is above 75% of the basket capacity.

关键词： Greedy algorithms Human factors Companies Social factors Electronic commerce Optimization Diseases

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Application of Blockchain and Internet of things (IoT) for Ensuring Privacy and Security of Health Records and Medical Services 5

Application of Blockchain and Internet of Things (IoT) for E...

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5th International conference on Contemporary Computing and Informatics, IC3I 2022

作者： Makka, Shanthi Sreenivasulu, K. Rawat, B.S. Saxena, Komal Rajasulochana, S. Shukla, Surendra Kumar Department of Computer Science & Engineering Vardhaman College of Engineering Telangana Hyderabad India Department of Biotechnology KLEF Deemed University Andhra Pradesh Guntur India Uttaranchal University Uttarakhand Dehradun India AIIT Amity University Uttar Pradesh Noida India Department of Information Technology SNS College of Technology Tamil Nadu Coimbatore India Department of Computer Science & Engineering Graphic Era Deemed to be University Uttarakhand Dehradun India

ISBN: (纸本)9798350398267

the research's introduction primarily focuses on the advantages of putting in place a data security framework to protect all health information. the medical associations should employ IoT and a wifi system to create an effective data security system. It is essential to think about all the benefits and the importance of using an information security management system to keep everything documents pertaining to medical facilities secure. In the study's evaluation of the data, the advantages of utilising a security control system for information to protect health history are primarily the emphasis. All essential benefits and technology, though, must be primarily focused on managing all data security systems. It is crucial to possess all the knowledge necessary to keep healthcare data safe in order to correctly access all patient data. It is essential to create this data security management to keep all medical records secure and private secure. Two tests - a a one-sample T test and a regression test - were run during the data analysis phase, using the year and the prevalence of cryptography in the healthcare sector as independent variables in each test. An enhanced level of medical record security is the dependent variable. the outcomes were contrasted with the calculated values. the threshold for significance is fixed at 0.05. © 2022 IEEE.

关键词： Internet of things

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Cloud Computing, Machine Learning, and Secure Data Sharing enabled through Blockchain 5

Cloud Computing, Machine Learning, and Secure Data Sharing e...

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5th International conference on Contemporary Computing and Informatics, IC3I 2022

作者： Singh, Rajesh Chandra, Akkaraju Sailesh Bbhagat, Babeetta Panduro-Ramirez, Jeidy Gaikwad, Anil Pandurang Pant, Bhasker Uttaranchal Institute of Technology Uttaranchal University Uttarakhand India University Doctoral Scholar School of Business and Management Karnataka Bangalore India Chhatrapati Shivaji Maharaj University Department of Computer Science & Information Technology Navi Mumbai India Universidad Tecnológica Del Perú Department of Business Peru Savitribai Phule Pune University JSPM'S JSCOE-MCA Department Maharashtra Pune India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350398267

Blockchain technologies are sweeping the globe. Cloud computing & secure data sharing have emerged as new technologies, owing to current advances in machine learning. Conventional machine learning algorithms need the collection & processing of training information on centralized systems. With the introduction of new decentralized machine learning algorithms & cloud computing, ML on-device information learning is now a reality. IoT gadgets may outsource training duties to cloud computing services to enable AI at the network's perimeter. Furthermore, these dispersed edges intelligence architectures bring additional issues, also including consumer confidentiality & information safety. Blockchain has been proposed as a viable alternative to these issues. Blockchain, as a dispersed intelligent database, has evolved as a revolutionary innovation for the future phase of multiple industries' uses due to its decentralized, accessible, & safe structure. this system also includes trustworthy automatic scripting running & unchangeable information recordings. As quantum technologies have proven more viable in the latest days, blockchain has faced prospective challenges from quantum computations. In this paper, we summarize the existing material in the study fields of blockchain-based cloud computing, machine learning, and secure data sharing, as well as a basic orientation to post-quantum blockchain to offer a summary of the existing state-of-the-art in these cutting-edge innovations. © 2022 IEEE.

关键词： Blockchain

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An Innovative Approach for Remotely Monitoring and Tracking Heavy Motor Vehicles 5th

An Innovative Approach for Remotely Monitoring and Tracking ...

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5th International conference on Information and Communication Technology for Intelligent systems, ICTIS 2021

作者： Raghunandan, K.S. Sunil, C. Ranjit, K.N. Chethan, H.K. Kumar, G. Hemantha Department of Studies in Computer Science University of Mysore Karnataka Mysore India Department of Computer Science and Engineering Maharaja Research Foundation Maharaja Institute of Technology Karnataka Mysore India

In recent years, the increase in electric mobility is exponentially high. Generally, the logistics sector grows at 1.55; times the GDP, and India is set to the fastest growing economy among major world economies. ... 详细信息

ISBN: (纸本)9789811641763

In recent years, the increase in electric mobility is exponentially high. Generally, the logistics sector grows at 1.5× times the GDP, and India is set to the fastest growing economy among major world economies. the logistics sector always sees improvements in improving transportation infrastructures. Technology advancements have enabled us to adapt to automated systems which make life easier and faster. When it comes to vehicle monitoring, heavy vehicle monitoring plays an important role because of the size and amount of time and distance they travel. In this paper, we propose an innovative approach for real-time monitoring of heavy trucks efficiently and cost-effectively. In automation, the key aspect is the cost, and we have taken special care to make it a low-cost solution that best suits many logistics companies. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Automation

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Stability Control of Boost Converter with Constant Power Load by ABSMC

Stability Control of Boost Converter with Constant Power Loa...

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Smart Power & Internet Energy systems (SPIES), International conference on

作者： Lu Liu Dazhi Wang Yongliang Ni Keling Song Yanming Li Guofeng Sun School of Information Science and Engineering Northeastern University Shenyang China China Northern Vehicle Research Institute Beijing China State Grid Shandong Electric Power Company Yantai China

Boost transformer is a non Minimum phase system, and its dynamic performance is easily affected. the negative impedance characteristic of a constant power load can deteriorate the stability of a DC system. In this paper, the Boost converter with constant power load is taken as the research object. First, the affine nonlinear model is converted into the Brunovsky standard form by feedback accurate linearization. then, the inverse adaptive sliding mode control is used to solve the control problem of the nonlinear system and the stability problem of unknown disturbance upper limit. the stability of the entire closed-loop system is proved by Lyapunov theory. Finally, simulation and experimental results indicate that this control strategy has better dynamic tuning performance and stronger robustness compared to traditional double closed-loop PI control methods.

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A QoE aware Clustering MAC protocol for Internet of Vehicles (QoEC-MAC)

A QoE aware Clustering MAC protocol for Internet of Vehicles...

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International conference on Pattern Analysis and Intelligent systems (PAIS)

作者： Hayet Zerrouki Samira Moussaoui Noureddine Haouari Department of Computer Science RIIMA Laboratory University of Sciences and Technology Houari Boumédienne Algiers Algeria YouWrite Rennes France

An Internet of Vehicles (IoV) network is an evolution of Internet of things (IoT) and VANET. In IoV, the Medium Access Control (MAC) protocol based on the standard 802.11p remains a big challenge for broadcasting safety messages. As the number of users increases, attention is given to Quality of Experience (QoE) and channel allocation. this paper proposes an efficient QoEC-based MAC scheme for IoV. the goal of this paper is to increase the network's effectiveness and the quality of service it offers. In our scheme, vehicles are organized into clusters. the cluster head is responsible for attributing slots, forwarding messages sent by their cluster members, and scheduling inter-cluster and intra-cluster communications. the efficiency of the QoEC-MAC scheme is evaluated with several simulations. the simulation results show that the proposed QoEC-MAC protocol achieves a lower collision ratio, higher throughput, and shorter delay.

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Ensuring Trust in Genomics Research

Ensuring Trust in Genomics Research

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IEEE International conference on Trust, Privacy and Security in Intelligent systems and Applications (TPS-ISA)

作者： Erman Ayday Jaideep Vaidya Xiaoqian Jiang Amalio Telenti Department of Computer and Data Sciences Case Western Reserve University Cleveland OH Information Systems Department Management Science Rutgers University Newark NJ Department of Data Science and Artificial Intelligence University of Texas - Health Houston TX Dept. of Integrative Structural and Computational Biology Scripps Institute La Jolla CA

Reproducibility, transparency, representation, and privacy underpin the trust on genomics research in general and genome-wide association studies (GWAS) in particular. Concerns about these issues can be mitigated by technologies that address privacy protection, quality control, and verifiability of GWAS. However, many of the existing technological solutions have been developed in isolation and may address one aspect of reproducibility, transparency, representation, and privacy of GWAS while unknowingly impacting other aspects. As a consequence, the current patchwork of technological tools only partially and in an overlapping manner address issues with GWAS, sometimes even creating more problems. this paper addresses the progress in a field that creates technological solutions that augment the acceptance and security of population genetic analyses. the text identifies areas that are falling behind in technical implementation or where there is insufficient research. We make the case that a full understanding of the different GWAS settings, technological tools and new research directions can holistically address the requirements for the acceptance of GWAS.

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Detection of Polycystic Ovary Syndrome (PCOS) Using Machine Learning Algorithms 5

Detection of Polycystic Ovary Syndrome (PCOS) Using Machine ...

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5th International conference on Engineering Technology and its Applications, IICETA 2022

作者： Hdaib, Dana Almajali, Noor Alquran, Hiam Mustafa, Wan Azani Al-Azzawi, Waleed Alkhayyat, Ahmed Department of Biomedical Engineering Jordan University of Science and Technology Irbid Jordan Department of Biomedical Engineering Jordan University of Science and Technology Yarmouk University Biomedical Systems and Medical Informatics Engineering Irbid21163 Jordan Pauh Putra Campus Perlis Arau02600 Malaysia Pauh Putra Campus Perlis Arau02600 Malaysia Medical Technical College Al-Farahidi University Baghdad Iraq The Islamic University Faculty of Engineering Najaf Iraq

ISBN: (纸本)9781665472159

One of the most common diseases in women of reproductive age is Polycystic Ovary Syndrome (PCOS). PCOS diagnosis can be tricky, because not everyone with PCOS has polycystic ovaries (PCO), nor does everyone with ovarian cysts have PCOS, hence the pelvic ultrasound as a stand-alone diagnosis is not sufficient. the full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new and easy method to diagnose it. therefore, we had successfully built a high performing diagnostic model using MATLAB. the data was obtained from the website Kaggle, and the dataset is called Polycystic Ovary Syndrome. In this paper various machine algorithms were employed by utilizing seven classifiers. Results demonstrated that Linear Discriminant classifier exhibits the best performance in terms of accuracy, while in terms of sensitivity, the KNN classifier had the best result. Also, a comparison with four other research papers that exploited the same PCOS dataset was done in terms of implementation platforms, evaluation methods, classifiers, classes, accuracy, and precision of each classifier. Our research excelled among all in terms of accuracy and varied in precedence with precision. MATLAB had shown substantial results and a great model fitting embedded approaches, scoring a high accuracy and precision outcome compared to other studies. Other improvements on the overall PCOS prediction can involve employing preprocessed ultrasound images with the features presented in the dataset. © 2022 IEEE.

关键词： Machine learning

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Design of Student Field Survival and UAV Search & Rescue Auxiliary Training System

Design of Student Field Survival and UAV Search & Rescue Aux...

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Information science and Education (ICISE-IE), International conference on

作者： Yingxiao Yu Yuantao Yu Jiyuan Xu Shulin Song Department of Specialty Aviation University of Air Force Changchun China

ISBN: (数字)9798331506766

ISBN: (纸本)9798331506773

the application scenarios of the student field survival and UAV search & rescue auxiliary training system were analyzed in this paper. And the basic structure and main characteristics of the system were presented. then, the overall framework of the system was described in detail. Finally, the design ideas and main interfaces of the system were expounded. thereby it will play a certain role in assisting and improving the learning and training of students' field survival skills and the contact with the search & rescue UAV, which has strong practicability and promotional value.

关键词： Training Information science Satellites Query processing Knowledge based systems Built-in self-test Autonomous aerial vehicles Search problems Filling Recording

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