R. Raman, Zatin Gupta, S. Akram, Dr. Lalit Thakur, Biju G. Pillai, M. Chakravarthi
{"title":"Network Security Concerns for Designing Robotic Systems: A Review","authors":"R. Raman, Zatin Gupta, S. Akram, Dr. Lalit Thakur, Biju G. Pillai, M. Chakravarthi","doi":"10.1109/AISC56616.2023.10085453","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085453","url":null,"abstract":"The Internet of Everything (IoT) has grown quickly in recent years, as have applications for autonomous robotics that use network connectivity. Robots will therefore become a practical reality future as smart sensors with wireless sensors (i.e., autonomous robotic platforms) operate in demanding conditions advance.Security issues, particularly when thinking about human-robot collaboration, unfortunately arise as a result of technological growth. System failures and information errors are two irregularities that frequently jeopardise the fundamental security of cooperative robotic fleets. With the use of the Internet of Things, this study aims to outline the design process for a control framework for secure robotic systems. Blocks are used as the constituent parts in the suggested concept to illustrate the structure of a control system. Robots are intended to interact with humans safely and function in a networked fashion thanks to the structure's architecture. Brief descriptions are given of the relationships and properties of the individual components. The security methods are the aspect of the suggested concept that is novel.The report also classifies two basic types of network attacks and summarises their causes in terms of how they affect systems that enable human-robot collaboration. It is also brought up to discuss standards. The work of the European Parliament (EP) and the National American national Standards institute (ANSI) on the safety patterns for communication channels is discussed in particular.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115351130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Strategic Alternative to Predicting Property Investment Value Through Random Forest and Gradial Enhancing","authors":"Anubhav Sony, Aarju","doi":"10.1109/AISC56616.2023.10085127","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085127","url":null,"abstract":"The good investment instruments include the following items gold, stocks, and real estate. Investment in real estate in particularly has increased significantly. Developments in home prices are important for both sellers and buyers because they provide insight into the health of the economy. Property expenses are influenced by a variety of variables, including location, bedroom count, and floor layout. The cost of housing is also influenced by a property's proximity to roads, major highways, schools, retail centers, and local job possibilities. Normal home prediction becomes challenging, hence other methods for predicting house prices have been created. The least transparent sector in our society is real estate. Daily fluctuations in housing prices occur, and they are sometimes overstated instead of based on appraisal. Our group's primary objective is to predict housing values using actual information.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115463690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stability Control of Two-Area of Power System Using Integrator, Proportional Integral and Proportional Integral Derivative Controllers","authors":"Arun Kumar Maurya, Hera Khan, H. Ahuja","doi":"10.1109/AISC56616.2023.10085614","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085614","url":null,"abstract":"Every component of the energy System needs to engage in a particular no. of control actions to ensure its effectiveness. Any power system that is connected to others will face changes in load, frequency, and the flow of tie-line energy. In order to achieve the chosen generating units and the goal of zero variations in the power system’s frequency as well as transmission line power, some supporting controller/controlling action is used. This type of control procedure is referred to as “automatic generation control.” In a multi-area electrical system, the main goal of LFC or automated generation control is to maintain a steady frequency in each region as well as a tie line’s power flow. This research piece employs two area electrical systems using some controllers like Integral, PI, and also PID. It compares the frequency deviation and change in the energy flow of the line section of the AGC of the 2 different system using these 3 techniques, then choosing a random regulator value. The most reliable & precise controller is a Proportional Integral Derivative controller, which controls processing parameters. This study examines the system stability utilizing hit-and-trial testing with different loads and controllers including Integral, PI, and PID.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Utilizing Mixture Methods for Classifier in NLP: An Essential Consideration","authors":"M. Kavita, Harveer Singh","doi":"10.1109/AISC56616.2023.10085077","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085077","url":null,"abstract":"The primary purpose of natural language program is to use it for desktop programming tool. This is very effective, and it can transform common biological conversation into a device which can be easily usable form. The robot may receive inputs in the form of data, voice, or visual. Currently, the machine earning is growing and finding usage in a variety of fields. The machine learning tool is developed by leading companies are having very big effect on the mobile and communication industry. Previous generations' daily tasks will be made easier by chat bots that are educated for all kind of issues which need to be discussed and or taken guidance. This well-known platform was mostly constructed using machine learning algorithms (ML) methods. In order to obtain the best outcomes and also the accuracy rate, the study intends to offer a principle component analysis gives the answer to a text categorization issue.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126825817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study and Performance Comparison of Various MIMO Antenna Configurations Under Rayleigh Fading Channel","authors":"Vikas Gupta, Parveen Singla, P. Sharma","doi":"10.1109/AISC56616.2023.10085325","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085325","url":null,"abstract":"Wireless communications have been captivated by MIMO technology because it provides significant increases in data throughput and link quality without requiring additional transmission bandwidth or power. Greater spectral efficiency (more bits per second per hertz of bandwidth) and enhanced reliability or link diversity allow it to do this (lessen fading). These characteristics have made MIMO a crucial component of practically all wireless communication systems. The present paper deals with the performance and capacity comparison of all MIMO configurations. On the basis of simulation results it is established that the MIMO system outperform all the existing antenna configurations.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122916107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factors Influencing Software Maintainability Prediction Using Soft Computing","authors":"A. Devi, Saurabh Charaya, Mukesh Maan","doi":"10.1109/AISC56616.2023.10085575","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085575","url":null,"abstract":"Software maintainability plays a vital role, as in the present scenario the customer requirement is changing more rapidly. For effective utilization of software, maintainability seems to be an essential factor and needs to be taken care at a top priority. Effective utilization of soft computing techniques will definitely lower maintenance time and cost. In past, several researchers have developed a number of models to estimate maintainability using various factors. In this paper, our focus is to find out the factors that contribute towards software maintainability at a larger level. It is clear from related work the software maintainability metrics proposed by Li and Henry, Metrics, Maintainability Metrics, and Chidamber and Kermerer Metrics were widely used by various researchers to predict software maintainability using soft computing techniques and results are found to be satisfactory. Moreover, A detailed classification has been presented in this paper and we came up with the factors affecting software maintainability for the object-oriented system along with the comparison of various models, especially focusing on input attributes and performance measures, widely used to predict software maintainability using soft computing. Besides this, we have also proposed a General Software Maintainability Process Model.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122960593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart Grid Synchronization Techniques with PV Generating System and its Challenges: An Overview of Power Sector in India","authors":"Bajrangi Maurya, Savitri Sharma","doi":"10.1109/AISC56616.2023.10085457","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085457","url":null,"abstract":"In India, more than 70% of electrical power is generated by convention source of energy including fossil-fuel which impact adversely on environment. So, therefore, to reduce environmental concern, renewable source of energy generation, such as solar power generation, wind power generation, biogas, geothermal and many more are playing tremendous role. In this paper, integration of smart grid which is the management techniques, used in power sector to manage electrical power distribution and consumption at both end generation and consumption with the help of smart technologies has been overviewed. Reviews on synchronization techniques for grid-connected converters have been presented in this paper. However, synchronization with PV system is big challenges in terms of reliability and power quality of supply. This paper presents a thorough overview of challenges and reliability prospects of smart grid synchronization with PV generating system. Different possible techniques have been discussed to mitigate these negative impacts so that PV synchronization with smart grid and various possible ways are reviewed for future work.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129525551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrated Blockchain and AI Research Infrastructure for IoT Based Applications","authors":"S. Bhatnagar","doi":"10.1109/AISC56616.2023.10085063","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085063","url":null,"abstract":"The Internet of Things (IoT), that has undertaken a revolution over the course of decades, is now a vital part of several application fields, which include smart towns and smart shipping, which guarantee that human existence runs more dependably. These applications are created to make the world a better place for people to live. As more information has to be acquired, saved, and analyzed, there will be an increased need for a system that has the capability of carrying out these tasks in a manner that is more efficient. Machine learning will play a significant role in the fulfillment of these requirements. However, the use of AI will also result in the utilization of considerable tools, which are necessary in order to handle the scenario that is now occurring. Because of this, support for blockchain has been included so that it may establish a decentralized architecture. This is done to guarantee that AI can function in an unimpeded manner. The potential advantages of artificial intelligence might also be realized via the use of block chain, which will provide a risk-free setting in which users can trade information and resources. The purpose of the proposed research is to develop a layered architecture that combines the benefits of blockchain technology with those of artificial intelligence in order to make it easier to analyze vast amounts of data. We carried out an investigation, and the results were analyzed in order to arrive at a conclusion on the impact that blockchain technology has on artificial intelligence with regard to latency and accuracy. According to the results, the proposed design not only outperforms the alternatives but also has the potential to provide solutions to a number of the issues that are now being experienced.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128508127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Blockchain-Based Incentive Mechanism for Crowdsensing Applications to Preserve Privacy","authors":"S. Kaur","doi":"10.1109/AISC56616.2023.10085322","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085322","url":null,"abstract":"In order to efficiently gather vast amounts of sensing data, crowdsensing apps make use of the widespread smartphone user base. A highly competent user’s participation is necessary to ensure the accuracy of sensing data. These knowledgeable users must be sufficiently rewarded for making up for their resource usage to encourage participation. A “trustworthy” centre raises security and privacy concerns, although the available incentive methods mostly focus on the honesty of the process. In this research, we provide a blockchain incentive mechanism for crowdsourcing apps that protects user privacy and uses a cryptocurrency based on blockchains as a safe reward method. High-quality contributors will be paid for their contributions, which are reflected in transaction blocks. According to the standards for evaluating sensor data released by the miners, they will confirm the transaction. It is suggested to employ a node authenticity checking plan to accomplish k- unsigned confidentiality since transaction information might reveal users' personal information. Our incentive mechanism’s viability and security are demonstrated through theoretical analysis and simulated trials.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129025818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancement of Password Authentication System Using Vector (Graphical) Images","authors":"Karan Pandey, Amitesh Singh, Ashutosh Anand, Abhishek Kaushik, Shiv Narain Gupta","doi":"10.1109/AISC56616.2023.10085057","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085057","url":null,"abstract":"In this paper, an improved password authentication system using images is presented. This research data focuses primarily on the concept of graphical password systems using vector images. This is supported by using persuasive queued click points for authentication purposes. The basic concept of this system is that the user manipulates a sequence of images. The underlying goal of this system is to attain higher security in a simpler manner that is easy for the user to use and harder for hackers to guess. This vector-based authentication system is the best alternative for text passwords. With the help of Persuasive Cued Click Point (PCCP), we will be able to make it more secure. PCCP is a combination of click points on five specific images. Persuasive cued click points are click points on an image that appear one after the other in random or sequential order. Persuasive clicked points provide a series of images, thus giving intruders more work and improving security. In this essay, PCCP is merged using modern innovations like mobile devices and email.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130373247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}