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Performance Analysis of IPv4 and IPv6 in VANET Routing 3

Performance Analysis of IPv4 and IPv6 in VANET Routing

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3rd International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2022

作者： Bala, Raj Bansal, Mukesh Govt. Polytechnic Department of Computer Engineering Hisar India

ISBN: (纸本)9781665482684

Internet Protocol version6 (IPv6) is the sixth revision to Internet Protocol. This protocol is going to replace IPv4 totally in future. Apart from serving the increasing demand for IP addresses, it also bundles other features for better health of Internet. It is anticipated that IPv6 will boost up speed and quality of service. With increasing demand to provide network to moving users, it has become absolutely important to analyze deployment of IPv6 in the network of moving vehicles, VANET. VANET is a self-organizing wireless network of running or stationary vehicles intended to support safety or intelligent transportation related information exchange between them. Routing plays an important role to facilitate vehicles communicate effectively. That is why this paper intends to compare performance of IPv6 and IPv4 in VANET routing. Two routing protocols, AODV and GPSR are used here for the purpose of analyzing performance in different scenarios. Two parameters are considered to measure and compare performance of IPv6 and IPv4. First parameter is Packet Delivery Ratio (PDR) and second is End-to-End Delay (E2ED). Network Simulator, NS-2 in amalgamation with broadly accepted VanetMobiSim is used to carry out simulation for the selected study. It is observed here that IPv6 provides better performance to both AODV and GPSR as compared to IPv4. © 2022 IEEE.

关键词： Internet protocols

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A Study on Product Recommendation System based on Deep Learning and Collaborative Filtering 3

A Study on Product Recommendation System based on Deep Learn...

引用

3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Bhagat, Mosami D. Chatur, Prashant N. Govt. College of Engineering Department of Computer Science & Engineering Amravati India

ISBN: (纸本)9781665494007

This essay analyses and contrasts the literature that has already been written about various product recommendation systems and the mechanisms that underlie them. Although there are many research contributions in the literature, in this article I have critically and thoroughly examined recent research and review papers that are relevant to AI-based product recommendation systems. The present techniques are divided into groups based on the fundamental ideas included into their processes. The idea put out by the concerned writers, the experimental technique, and the performance assessment criteria are highlighted. Also noted are the researchers' assertions. The flaws that have been found are highlighted together with our results from the thorough literature study. This work is crucial for the comparison of different AI-based product recommendation systems, which is a necessary step before dealing with related problems. Following a review of the literature, I have put up a system for recommending products to users, in which the tool suggests products that a particular user would want to buy. I have gathered information about items and users by using ML algorithms. The suggested system establishes a link between the people and the products. © 2023 IEEE.

关键词： Collaborative filtering

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Deciphering Descriptors-Understanding Personality Beyond Resumes Using Machine Learning Algorithms 1

Deciphering Descriptors-Understanding Personality Beyond Res...

引用

1st International Conference on Trends in engineering Systems and Technologies, ICTEST 2024

作者： Nandini, P. Sony, P. Nair, Niranjana B Devan, Sneha Martin, Sona Govt. Model Engineering College Managed by Ihrd Computer Science Department Kochi India

ISBN: (纸本)9798350307795

Recruiters face challenges in accurately evaluating candidates, with reliance on resumes alone hindering effectiveness. Predicting personality traits and assessing technical and soft skills pose additional hurdles, leading to inefficient selections and potential mismatches. To address this, a system integrating personality prediction via machine learning and resume analysis is proposed. Using a random forest model, candidate personality traits are predicted from standardized tests, encompassing dimensions like extraversion and conscientiousness. Simultaneously, the system conducts in-depth resume analyses, extracting qualifications, work experience, and interpersonal skills. By considering personality-job compatibility, this system offers comprehensive insights for informed decision-making, enhancing recruitment efficiency and reducing mismatches. © 2024 IEEE.

关键词： Decision making

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Overview and an Approach to AI based Healthcare System by using NLP 3

Overview and an Approach to AI based Healthcare System by us...

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3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Rathi, Nidhi D. Deorankar, A.V. Govt. College of Engineering Department of Computer Science & Engineering Amravati India

ISBN: (纸本)9781665494007

This paper presents the analysis and comparison of existing literature relevant to various s that act as virtual medical assistance and the mechanisms associated with it. Though, the literature consists of a lot many research contributions, but, here, we have critically and exhaustively analysed recent research and review papers that ae pertinent to AI based health care s. Based on the basic concepts used in their mechanisms, the existing approaches are categorized. The emphasis is on the concept used by the concerned authors, the methodology used for experimentations and the performance evaluation parameters. The claims of the researchers are also highlighted. Our findings from the exhaustive literature review are mentioned along with the identified problems. This paper is very important for the comparative study of various healthcare s approaches which is prerequisite for solving remote health issues. In the end, we've proposed our own pertaining to the health care system. We have blended AI with NLP and ML. We have implemented the idea wherein one can easily and readily diagnose the disease or illness and the details can be provided remotely before consulting a medical practitioner or visiting a doctor. This can inherently reduce the healthcare expenses and can be easily accessible at any time and place. Also, our proposed approach looks consistent and accurate. © 2023 IEEE.

关键词： Machine learning

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A Novel Approach to Text Summarization of Document using BERT Embedding 3

A Novel Approach to Text Summarization of Document using BER...

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3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Adwani, Kumkum S. Shelke, P.P. Govt. College of Engineering Department of Computer Science & Engineering Amravati India

ISBN: (纸本)9781665494007

This study examines and compares existing studies on various text summaries of documents and the processes associated with them. Despite the fact that the literature contains a large number of research contributions, we have critically and fully analysed current research and review papers that are relevant to text summary of document systems. The various approaches are classified based on the main ideas used in their procedures. The emphasis is on the concept utilised by the concerned authors, the approach used for experiments, and the performance evaluation measures. The researchers' claims are also emphasised. Our findings from the exhaustive literature review are presented together with the detected flaws. This study is very important for the comparative examination of various text summarizer approaches, which is necessary for addressing associated difficulties. On a review of the literature, we developed our own way in which we constructed a programme in Python and wrote it in the Spyder console using the Anaconda culture. The following standard libraries are used: NLTK for text processing, TensorFlow hub for getting the BERT pretrained model, correlation from the Sklearn library, and certain other standard libraries such as Panda for importing the dataset, Numpy, and so on. The data set must be imported after all of the libraries have been included. To summarise, the Kaggle datasets news summary training dataset was utilised. There are headlines, the full text, a synopsis, and links to related news stories for each story in the collection. In this experiment, the first 100 articles from the news summary collection were used. We analysed the outcome using the Rouge scoring system on both the created summary and the original summary. Rouge's average score for the first 100, 50, and 30 documents. The results obtained are encouraging. © 2023 IEEE.

关键词： Text processing

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A CNN Approach to Detect The Anomalies In BGP Traffic 15

A CNN Approach to Detect The Anomalies In BGP Traffic

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Verma, Rahul Deo Keserwani, Pankaj Kumar Jain, Vinesh Kumar National Institute of Technology Sikkim Department of Computer Science and Engineering Sikkim India Govt. Engineering College Ajmer Department of Computer Engineering Ajmer India

ISBN: (纸本)9798350370249

The stability and security of the Internet's routing infrastructure, largely dependent on the Border Gateway Protocol (BGP), are critical for ensuring reliable global connectivity. Anomalous routing behavior can disrupt this stability, making effective anomaly detection essential. Traditional methods face significant challenges due to the dynamic and complex nature of BGP networks. To address these challenges, we propose a Convolutional Neural Network (CNN)-based approach for detecting BGP anomalies. CNNs are well-suited for capturing spatial dependencies and patterns within data, making them an ideal choice for this application. We evaluate the performance of our CNN model using the RIPE and BCNET datasets, demonstrating superior accuracy in anomaly detection compared to previous methods. Our results highlight the potential of CNNs to enhance the robustness of BGP anomaly detection systems. © 2024 IEEE.

关键词： Convolutional neural networks

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Artificial Level Language: A Library of Computing Engine for Natural Languages 5

Artificial Level Language: A Library of Computing Engine for...

引用

5th International Conference on Control, Communication and Computing, ICCC 2023

作者： Sunil, K.S. Anas, Muhammed Sajeev, Sayu Suresh, Vishnu Thomas, Julien Joseph Govt. Engineering College Department of Computer Science and Engineering Kerala Idukki India

ISBN: (纸本)9798350334128

Programming with natural language is an area of research with different kinds of applications including introductory programming, robotics, etc. Factors like meaning preservation, ambiguity handling, etc, have to be considered while writing programs in natural language. Natural language programming is evolved over the past years through various developments. Here we introduce a system that can convert sentences written in natural language (we considered English as an example) to python statements. The main feature of our system is that the English sentences need not be grammatically correct. We named our system as Artificial Level Language (ALL) as it can be thought of as a new level, above the high-level language, in the programming language hierarchy. The main component of ALL is a tranSMachine comprised of two parts namely tranScripter and transCompiler. The tranScripter introduced here is named as JAVS-tranScripter which includes a set of protocols that are expected to be improved in the future. ALL take English statements as input and it generates Python code in the background to carry out the instructions and outputs the results. © 2023 IEEE.

关键词： High level languages

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Comparative Review on Biodiesel with Water-Emulsified Diesel as an Alternative Fuel for CI Engines 4th

Comparative Review on Biodiesel with Water-Emulsified Diesel...

引用

4th International Conference on Recent Advancements in Mechanical engineering, ICRAME 2023

作者： Naiya, Sabyasachi Mondal, Pijush Kanti Mandal, Bijan Kumar Department of Mechanical Engineering Baruipur Government Polytechnic Kolkata India Department of Mechanical Engineering Gaighata Govt. Polytechnic West Bengal North 24 Parganas India Department of Mechanical Engineering IIEST Shibpur India

ISBN: (纸本)9789819741663

This paper attempts to draw a comparative review on engine emission and performance characteristics for biodiesel and water-emulsified diesel (WED) as CI engine fuels. Data available in the literature indicate that both of the alternative fuels cut down smoke emission from exhaust gas significantly. In the studies of blended biodiesel, NOx emission is found to increase in general, but some of them have shown reverse trends also. Water-emulsified diesel invariably exhibits reduced NOx emission, and it reduces further, up to a staggering 83% using WED containing 30% water. Amongst the engine performance parameters, the thermal efficiency is decreased using biodiesel due to its low calorific value compared to neat diesel. Though water-emulsified diesel also has a lower calorific value compared to neat diesel, an improved combustion due to secondary atomization caused by micro-explosions of water particles dispersed in emulsion, resulting in higher break thermal efficiency. Thus, using WED containing 10% water increases thermal efficiency up to 14.2% than neat diesel. Pollutants in the exhaust gas are found to be less for both biodiesel and water-emulsified diesel in majority of the experimental outcomes. However, low calorific value of biodiesel and short shelf life of water-emulsified diesel are some concerns that deter industry to adopt these at mass scale. Further research and development in this field can definitely change the outlook towards alternative to diesel fuel. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Diesel fuels

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Migraine Prediction Method Using Feature Selection with Hybrid Optimization Method 1

Migraine Prediction Method Using Feature Selection with Hybr...

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1st International Conference on Innovations in Communications, Electrical and computer engineering, ICICEC 2024

作者： Choudhary, Tushar Kunal, C. InFeedo Tech Inc Gurugram India Govt. Engineering College Department of Computer Science Ajmer India

ISBN: (纸本)9798350376517

Migraine is a common and painful neurological condition that is often characterized by one-sided, throbbing, and pulsating headaches. Unfortunately, a lot of people who suffer from migraines get misdiagnosed when the doctors use the conventional diagnostic criteria made by the IHS (International Headache Society). As a result, there is great interest in the development of automated methods that could assist in the diagnosis of migraines. This work offers a new method for diagnosing migraines through the integration of genetic algorithms and the PSO algorithm to select features, followed by classification using Random Forest. The achieved methodology demonstrates an accuracy of 99.63% which is superior to that of the conventional methods including SVM, XGBoost, Decision Tree, Random Forest, and the Stacking algorithms. Through this technique, the identification of malicious URLs is done with great accuracy as the false alarms and missed detections are minimized. An applicable scheme is the basis for the development of more sophisticated devices for the purposes of predicting migraines. In the case of everyday life, the upcoming work is going to focus on the assessment of the scalability and efficiency. © 2024 IEEE.

关键词： Random forests

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Advancements in Control Systems: Sliding Motion Control, Integrating PID Control, and Machine Learning for Precision and Robustness 3

Advancements in Control Systems: Sliding Motion Control, Int...

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3rd IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Dawane, Mahendra K. Malwatkar, G.M. Deshmukh, Suhas P. Chouhan, Devendra Govt. College of Engineering Department of Instrumentation Engineering Jalgaon India Govt. College of Engineering Department of Mechanical Engineering Karad India School of Computer Science & It Symbiosis University of Applied Sciences Indore India

ISBN: (纸本)9798350343274

To improve the precision and robustness of control systems, this paper investigates the integration of three different control methodologies: Proportional-Integral-Derivative (PID) control, sliding motion control, and machine learning. The introduction starts by outlining the historical progression of control systems and highlighting their growing significance in contemporary technology. These integrated control strategies are at the centre of the research. The effectiveness of PID control as a solid foundation is first demonstrated through real-world applications and success stories, which provide insights into its principles, advantages, and disadvantages. The next step is to introduce sliding motion control to improve the adaptability of control systems, particularly in handling complex dynamics and uncertainties. It is presented as an addition to PID control, and real-world examples show how adaptable and responsive it is. The importance of machine learning's ability to learn from data and adapt to changing environments is emphasised as the role of machine learning in control systems is thoroughly examined. It is viewed as a tool for performance improvement and optimisation, supported by real-world examples that show the sophistication of control systems. The integration of these three methodologies, emphasising the theoretical underpinnings and methodologies of this approach, forms the core of the research. Through case studies spanning numerous industries, such as industrial automation, robotics, aerospace, and autonomous vehicles, it elaborates on the advantages of such integration, particularly in terms of achieving precision and robustness. © 2023 IEEE.

关键词： Motion control

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