2023 3rd International Conference on Intelligent Technologies (CONIT)最新文献

{"title":"Implementing Three Factors Authentication System (3FA) to Maintain Employee Attendance Record to Enhance Security","authors":"Plezzant Columbus Johnson, Shri Kant, Sandeep Kumar","doi":"10.1109/CONIT59222.2023.10205831","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205831","url":null,"abstract":"Today as we all know that maintaining of employee credential have been some major issues around the world. Finding it more difficult to keep track of employees. With this, the company, institution, or government entity does not know who has entered their work-spaces to steal important information from their systems or databases. This serves as a deep wound for any company that does not keep track of its employees. This has been a major issue within so many Africans country, most especially Liberia. where so many companies, institutions, and governmental entities losing huge amounts of data. The means by which they do not track employee records have been with the traditional sign-in method, which has to do with the pen and paper or book sign in and sign out method, which can easily be stolen or damaged. This is one of the methods that employees use to not sign in when they get to work in order to steal data without anyone knowing that they were at work that day. Coming up with a method that will enable strong security and secure maintenance of employees records with less consuming and a strong level of three-factor authentication (3FA) will enable all employees to sign in with their three-level credentials, which have to do with something you know (knowledge), something you have (possession), or something you are (Inherence).The trustworthiness of identification is increased because this data cannot be copied or hacked. Furthermore, Three (3) Factor Authentication attempts to demonstrate, from a broader perspective, why it is more important to review your security procedures in order to prevent unauthorized persons from gaining access to your systems and obtaining data and information that you have not provided them with. Our system is going to allow user signing in with their user credential on your system after entering your username and password which authenticate you into the system, you as an employee to be verified and attendance to be mark you will use your Face, recognizing you and comparing it to the data stored with in the database for verification, after than been verified and mark your attendance for the day. This method going to be used is less time consuming and low cost attached.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121747270","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":"Nail Disease Prediction using a Deep Learning Integrated Framework","authors":"S. Marulkar, Bhavana Narain","doi":"10.1109/CONIT59222.2023.10205721","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205721","url":null,"abstract":"Deformities that may develop in the nail unit are referred to as \"nail diseases\". Even though the nail unit is regarded as a skin accessory, these diseases have their own distinct set of signs, causes, and outcomes that may or may not be connected to other illnesses. It can be challenging to identify and recognize certain nail disorders, hence this research suggests a novel deep learning framework that can identify and categorize these diseases from images. The framework is specifically made to identify nine different types of nail diseases based on nail colour, including black, blue, grey, purple, red, white, and yellow coloured nails with beau's lines, hyperpigmentation, onychomycosis, subungual hematoma, yellow nail syndrome, psoriasis, koilonychias, paronychia, pincer nails, leukonychia, and onychorrhexis. In order to do this, feature extraction is carried out using a mix of convolutional neural networks (CNNs). The researchers created their own dataset to assess the effectiveness of their suggested framework because there isn't a comprehensive dataset readily accessible for this assignment. The outcomes were contrasted with those of other cutting-edge algorithms, including RF, SVM, ANN, and KNN, which are renowned for excelling in feature extraction. With an accuracy of 87.33%, the suggested framework distinguished between varieties of nail conditions with comparable performance.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126494613","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":"Analysis on Quantum Cryptographic Approaches for Image Encryption","authors":"Shilpa M. Satre, Bharti Joshi","doi":"10.1109/CONIT59222.2023.10205611","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205611","url":null,"abstract":"To secure and protect the photos from unfair tactics, the encryption process is used. the advent of the digital era has made it exceedingly easy to hack any data kept on the cloud. Encryption is critical to ensuring communication security, which is a crucial issue. There are numerous photo encryption methods that mostly rely on chaotic logistic maps; however, they have downsides such a small key space and low security. Current analysis introduced experimental results of quantum chaotic cryptosystem,3D-Chaotic map and quantum chaotic logistic map. This paper we measure image encryption parameters are Entropy, structural similarity index measure, combined average changing intensity and net pixel change rate which defines utilization of suitable image encryption approaches. For the cypher and the original image, we quantify the correlation coefficient value in both the horizontal and vertical positions with comparison of all three existing Approach-es performance. The scientific and practical economic results reveal that the quantum chaotic cryptosystem has outstanding performance and in future with utilization of advanced Approaches we can resist various cryptographic attacks.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126539462","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":"Screening of Baggage X-ray Images Using Convolutional Neural Networks","authors":"Dioline Sara, Ajay K. Mandava","doi":"10.1109/CONIT59222.2023.10205696","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205696","url":null,"abstract":"For security screening of X-ray baggage, we address the problem as image classification task by the application of trained deep convolutional neural networks (CNN). Large quantities of training data are typically needed when using a deep multi-layer CNN technique to build a complete framework that obtains features and performs screening. To solve this problem, we use a transfer learning methodology that allows a pre-trained CNNs to be particularly tuned later for achieving the classification of baggage. In our study, for the classical threat and non-threat image classification, we experimented the classification task by a newly designed lighter CNN network without pre-training and compared the classification performance of pre-trained neural networks with SVM classifier using the features extracted from various layers of CNNs. Pre-trained networks achieve 99% classification accuracy and precision and exceeds the performance of CNN network without prior training. Further, the classification task by a newly designed lighter CNN network without pre-training achieves 96% accuracy, 95% precision, 5% false positive rate with SVM classifier.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128024594","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":"Braking in Electrical Vehicle for Control of heat flow","authors":"Rinku Garg, Ashish Sharma, Dharminder Singh, Jayant Mishra, A. Gehlot","doi":"10.1109/CONIT59222.2023.10205852","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205852","url":null,"abstract":"Electric vehicles use regenerative braking systems that convert the vehicle’s kinetic energy into electrical energy that is stored in the battery for later use. However, one issue that can arise with regenerative braking systems is overheating, which can lead to reduced braking performance or even complete brake failure. This is because regenerative braking systems generate a large amount of heat when they convert kinetic energy into electrical energy. If the heat generated exceeds the capacity of the braking system to dissipate it, then the brakes can become less effective or even fail. To prevent this from happening, electric vehicles are typically equipped with cooling systems to help dissipate the heat generated during regenerative braking. These cooling systems may use air or liquid to cool the brakes and prevent them from overheating. This work give the brief overview of strategies used to limit the heat flow.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125969301","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":"Robot Learning Method Based On Video","authors":"Yuantao Tang","doi":"10.1109/CONIT59222.2023.10205801","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205801","url":null,"abstract":"With the arrival of 5G era and the continuous development of computer technology and digital video technology, the amount of video data is increasing day by day. Therefore, there is a technical requirement in real life that can significantly shorten the video duration while retaining the main content of the original video. The emergence of video summarization method successfully meets this demand. It can reduce the time for people to browse videos and save a lot of storage space at the same time. Video summary is the process of automatically extracting key information from video and presenting it in the form of summary. It has been proved to be useful for both humans and machines because it can help them understand the main idea of video without watching the whole video. In this paper, we will focus on using deep learning technology for video summarization. Deep learning is an effective technology for many tasks, because it can learn complex functions by analyzing data samples. This also makes it an ideal summary technology, because video contains a lot of information needed. This paper studies various types of video, and proposes a robot learning method based on video summarization to improve the performance of video summarization algorithm and generate video summaries that interest users.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122239390","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":"OpenMarshall: Open-Set Recognition of Aircraft Marshalling Signals for Safe Docking","authors":"Debabrata Pal, Anvita Singh, Hemant Khairnar, Abhishek Alladi","doi":"10.1109/CONIT59222.2023.10205835","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205835","url":null,"abstract":"Aircraft marshallers provide visual docking guidance to the pilots to safely maneuver large aircraft while avoiding unseen obstacles. Although the marshallers are well-trained, there exists a huge gesture variance for the aircraft marshallers worldwide in performing a specific marshalling signal. It creates great difficulty for a pilot from a different geographical location to interpret the desired hand signal. Besides, poor visibility in adverse weather coupled with the high pilot sitting position in big aircraft increases the signal deciphering complexity. To tackle this, we propose a novel high-fidelity gesture-tracking model, OpenMarshall, which extracts salient body joints for marshalling and performs real-time classification of hand signals into a set of known marshalling signals and anomalous gestures with the help of a sequential learning unit. On one hand, our approach can help the Aircraft Marshallers to rectify gestures in their training phase, and on the other hand, vision-based automatic deciphered signals in the cockpit can reduce the workload for a pilot in the docking phase. Additionally, we augment substantial occlusion-simulating scenarios during OpenMarshall training to deal with heavy occlusions in airports. OpenMarshall is a lightweight and generic detector-tracker pipeline that makes it suitable to deploy in platform-agnostic configurations, such as autonomous UAVs, passenger jets, commercial aircraft, etc.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115734609","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":"Bhagavad Geeta Based ChatBot","authors":"Atharva Karekar, Sahil Limaye, Amit Nara, Smit Panchal","doi":"10.1109/CONIT59222.2023.10205716","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205716","url":null,"abstract":"A chatbot which tells us about the historical events written in Bhagavad Geeta. It also continues with information about the actual meaning of most multi-directional questions having variable answers which keep humans a bit occupied. The paper is about a well-made bot with the help of OpenAI. This can also help humans discover life's answers. This is briefly written below in the document to understand the making and working of the bot. The OpenAI API is powered by a diverse set of models with different capabilities and price points. You can also make limited customizations to our original base models for your specific use case with fine-tuning. It will help you increase your knowledge and will also be the guide for your path to a happy and peaceful life.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115847485","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":"LSTM Approach for Efficient Stock Market Prediction","authors":"Sanjiv Kumar, Utkarsh Aggarwal, Pratiksha Gautam, Aryan Tuteja, Priya Matta, Sudhanshu Maurya","doi":"10.1109/CONIT59222.2023.10205790","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205790","url":null,"abstract":"Stock market investing has always been difficult for shareholders and prevents the use of standard models to make more accurate predictions of future values. Although many researchers and academicians have proposed methods to make stock price prediction more efficient. But after going through those proposals, we found a number of loopholes that can be tackled using a different approach. In this research work, machine learning and a study of finance have been combined to construct a model employing long-short term memory (LSTM) that forecasts the value of the SENSEX in the future. Finally, we have evaluated the performance of our proposed method. So this research work can be used by other researchers in the same domain. Our research will encourage practitioners to better identify the exciting sector for future views while also assisting beginners in comprehending the ML paradigm.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115896271","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":"Deep Learning Implemented Communication System for the Auditory and Verbally Challenged","authors":"Chempavathy B, B. Sundaram, Anant Shaynam, Aditya Goswami, Bindya S","doi":"10.1109/CONIT59222.2023.10205847","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205847","url":null,"abstract":"Sign language is a natural way of communication for challenged people with speaking and hearing disabilities. There aren’t a lot of text to sign language conversion system, due to the lack of abundance of sign language libraries including all collection of written texts and learning sign language is not an easy task to begin with. This shows a need for developing a system that facilitates the communication of people with such disabilities with the rest of the world. The research work here would bridge the gap between people untrained in sign language and people who rely only on sign language for their day to day activities, without having to assume or rely on someone who already knows sign language. This is a way to not only encourage communication with people with disabilities without worrying about miscommunication, but to even enjoy it.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131945334","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}