2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)最新文献

Feature Drift Detection using Overlapping Window and Mann-Whitney U Test 基于重叠窗和Mann-Whitney U检验的特征漂移检测

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068710

Jafseer K T, S. S, S. A.

引用次数: 0

Agricultural Food supply chain Traceability using Blockchain 使用区块链的农业食品供应链可追溯性

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068564

S. Rajput, Anvita Jadhav, Janhavi Gadge, Diya Tilani, Vaibhav Dalgade

{"title":"Agricultural Food supply chain Traceability using Blockchain","authors":"S. Rajput, Anvita Jadhav, Janhavi Gadge, Diya Tilani, Vaibhav Dalgade","doi":"10.1109/ICITIIT57246.2023.10068564","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068564","url":null,"abstract":"For the past few years, as the demand for food has increased due to population, Food security has emerged as a major issue, because many intermediaries alter products to gain profits which in turn degrades the quality of the product and affects the health of the population. The current agricultural food supply chains have a number of significant issues, including plenty of participants, poor communication driven by lengthy supply chains, distrust between members, and centralized systems. Developing a traceability system for the agricultural food supply chain becomes more and more important as traditional agri-food logistics patterns can no longer meet market needs. We can build a system that keeps track of the product quality and other factors throughout the supply chain by using Blockchain technology along with various other technologies like sensors which are used to gather data from the growing stages of the product, IPFS which stores this data securely at one place and the entire data can be accessed by the consumer through RFID tags. This data can be accessed by the consumer who can verify the quality of the product. This can help maintain trust in the supply chain. In this paper, we have summarized a few previous related research and proposed a system for traceability in the agricultural supply chain.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128991303","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}

引用次数: 1

Design of a Deep Learning Model for Cyberbullying and Cyberstalking Attack Mitigation via Online Social Media Analysis 基于在线社交媒体分析的网络欺凌和网络跟踪攻击缓解深度学习模型设计

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068711

S. Kahate, A. D. Raut

{"title":"Design of a Deep Learning Model for Cyberbullying and Cyberstalking Attack Mitigation via Online Social Media Analysis","authors":"S. Kahate, A. D. Raut","doi":"10.1109/ICITIIT57246.2023.10068711","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068711","url":null,"abstract":"Identification of cyberbullying and cyberstalking for real-time use cases is a multi domain task that involves the design of social media data extraction, sentiment analysis, sentiment pattern evaluation, and regression models. To perform this task, researchers have proposed the use of high-density feature representation models that can extract social media sentiments, and combine them with user specific parameters like age, gender, time of post, etc. But existing models are either non-comprehensive or capable of achieving limited accuracy when used for real-time scenarios. Moreover, these models are not flexible to multimodal inputs, which further limits their scalability levels. To address these concerns, this paper proposes the development of a deep learning model for cyberbullying and cyberstalking attack mitigation via social media analysis. The proposed model initially collects tweets posted by users, extracts meta data, and analyzes language features for training a Long-Short-Term Memory (LSTM) based Convolutional Neural Network (CNN), which assists in the pre-filtering of tweets. The filtered tweets are passed through a Natural Language Processing (NLP) engine that assists in sentiment identification for these texts. Sentiment data and Word Embedding capabilities are used to anticipate cyberbullying and cyberstalking attacks. This is done via CNN based pattern analysis, which assists in the efficient identification and mitigation of these attacks. Due to the integration of these models, the proposed method is able to improve attack detection accuracy by 3.5 %, while reducing the identification delay by 8.3 % in real-time scenarios.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121802582","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}

引用次数: 0

Forecasting of Satellite Based Carbon-Monoxide Time-Series Data Using a Deep Learning Approach 基于卫星一氧化碳时间序列数据的深度学习预测

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068609

Abhishek Verma, Virendar Ranga, D. Vishwakarma

引用次数: 1

The integration of Blockchain and AI for Web 3.0: A security Perspective 区块链和AI在Web 3.0中的集成:安全视角

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068672

Akshay Suryavanshi, A. G, M. N, Rishika M, Abdul Haq N

{"title":"The integration of Blockchain and AI for Web 3.0: A security Perspective","authors":"Akshay Suryavanshi, A. G, M. N, Rishika M, Abdul Haq N","doi":"10.1109/ICITIIT57246.2023.10068672","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068672","url":null,"abstract":"A decentralized and secure architecture made possible by blockchain technology is what Web 3.0 is known for. By offering a secure and trustworthy platform for transactions and data storage, this new paradigm shift in the digital world promises to transform the way we interact with the internet. Data is the new oil, thus protecting it is equally crucial. The foundation of the web 3.0 ecosystem, which provides a secure and open method of managing user data, is blockchain technology. With the launch of Web 3.0, demand for seamless communication across numerous platforms and technologies has increased. Blockchain offers a common framework that makes it possible for various systems to communicate with one another. The decentralized nature of blockchain technology almost precludes hacker access to the system, ushering in a highly secure Web 3.0. By preserving the integrity and validity of data and transactions, blockchain helps to build trust in online transactions. AI can be integrated with blockchain to enhance its capabilities and improve the overall user experience. We can build a safe and intelligent web that empowers users, gives them more privacy, and gives them more control over their online data by merging blockchain and AI. In this article, we emphasize the value of blockchain and AI technologies in achieving Web 3.0's full potential for a secure internet and propose a Blockchain and AI empowered framework. The future of technology is now driven by the power of blockchain, AI, and web 3.0, providing a secure and efficient way to manage digital assets and data.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127638583","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}

引用次数: 3

A Weighted Ensemble Model for Prediction of Dengue Occurrence in North India (Chandigarh) 预测印度北部昌迪加尔登革热疫情的加权集合模型

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068636

K. Shashvat, A. Kaur

{"title":"A Weighted Ensemble Model for Prediction of Dengue Occurrence in North India (Chandigarh)","authors":"K. Shashvat, A. Kaur","doi":"10.1109/ICITIIT57246.2023.10068636","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068636","url":null,"abstract":"In tropical nations, dengue fever is one of the most widespread vector-borne infections, particularly in developing countries such as India, Bangladesh, and Pakistan. Dengue fever can range from mild to severe fever cases. Dengue fever is an epidemic spread by mosquitos that affects people of all ages in over a hundred countries throughout the world. The research examines real-time series prediction and analysis using three regression models, as well as the development of a weighted average prediction model for infectious illness prediction. The integrated diseases monitoring programme of the Government of India provided monthly statistics on dengue cases from 2014 to 2017. Three regression models were used to analyse data: support vector regression, neural network, and linear regression. Mean Absolute Error, Root Mean Square Error, and Mean Square Error are some of the performance criteria that have been employed. In terms of its effectiveness, it was discovered that the postulated weighted ensemble model performed better. The primary purpose of this project is to reduce prediction errors, and we discovered that our planned weighted ensemble model is more effective in this regard.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133799629","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}

引用次数: 0

Self-Driving Car: Simulation of Highly Automated Vehicle Technology using Convolution Neural Networks 自动驾驶汽车:使用卷积神经网络模拟高度自动化车辆技术

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068691

M. Mallikarjuna, Aditya Bhosle

{"title":"Self-Driving Car: Simulation of Highly Automated Vehicle Technology using Convolution Neural Networks","authors":"M. Mallikarjuna, Aditya Bhosle","doi":"10.1109/ICITIIT57246.2023.10068691","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068691","url":null,"abstract":"Driver behaviour is a significant factor in the smooth driving of vehicles on the roads. 94 % of crashes and road accidents are prone to drivers' rash driving behaviour. To address issues related to road accidents and crashing of vehicles on the road, Highly Automated Vehicle (HAV) Technologies have been proposed. Self-Driving Cars are part of Highly Automated Tech-nologies having promising benefits ranging from Greater Road Safety, Greater Independence, Saving money, More Productivity, Reduced Congestion and Green House Gains. The current study focuses on the deployment of self-driving automobiles based on the Deep Learning paradigm. The automobile has been simulated on the Udacity simulator for convenience and safety. On the Udacity platform, a technique for training and simulating an unmanned vehicle model using a convolutional neural network has been developed. The data used to train the model is captured in the simulator and fed as input into the Deep CNN. Following data collection, Deep CNN is trained to have Safety Navigation by passing Steering, Throttle, Brake and Speed as Control Inputs. The use of three cameras considerably improves the precision of the navigation job. To manage the car, the steering wheel amount will be modified such that it runs in the centre of the lane. We evaluated the model using UDACITY's simulation system. The proposed model has been evaluated considering the-No of epochs vs loss calculation, as performance metrics, and was found that the proposed model has shown superiority with the existing works.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115234569","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}

引用次数: 1

Expert System Techniques in Intelligent Diagnostic Digital Cytopathology System for Cervical Intraepithelial Neoplasia Detection 宫颈上皮内瘤变检测智能诊断数字细胞病理学系统中的专家系统技术

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068718

Akanksha Kapruwan, Sachin Sharma, H. Goyal

引用次数: 3

Analysis of User Experience on The Government Application of Indonesian Higher Education Institutional Information Systems Using Usability Method 用可用性方法分析印尼高等教育机构信息系统政府应用的用户体验

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068674

Farhah Qonita, Muhammad Fariz Budiman, Valina Mayang Sari, Natalia Limantara

{"title":"Analysis of User Experience on The Government Application of Indonesian Higher Education Institutional Information Systems Using Usability Method","authors":"Farhah Qonita, Muhammad Fariz Budiman, Valina Mayang Sari, Natalia Limantara","doi":"10.1109/ICITIIT57246.2023.10068674","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068674","url":null,"abstract":"The Ministry of Education, Culture, Research, and Technology is a ministry within the Government of Indonesia which administers affairs in the fields of preschool children's education, elementary education, secondary education, vocational education, higher education, cultural management, research, and the growth of technology. Universities that are going to open a new study program must submit a proposal to the Ministry of Education, Culture, Research, and Technology. The process of submitting this proposal is submitted through a system called SIAGA. This information system is used by universities to submit proposals and reviewers to evaluate and provide an assessment of the proposals submitted. The purpose of this research is to evaluate the usability of the SIAGA system. The evaluation is focused on from the reviewer's side because the reviewer is the main user of this system. The result of this study is performance assessment technique demonstrate that application pages are generally effective and pleased with the application system, but application is still inefficient in terms of evaluating characteristics. Improvements in this study focused on improving page layout and information navigation instructions when using the application.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124561813","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}

引用次数: 0

Phishing Perception and Prediction 网络钓鱼感知与预测

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068585

Ashwitha Noble P, Hubert Veyannie V, S. H

引用次数: 0