2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)最新文献_第3页

Software Requirement Classification Using Machine Learning Algorithms 使用机器学习算法的软件需求分类

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169588

Vrutik Patel, P. Mehta, Kruti Lavingia

引用次数: 0

Design and Development of a System for the Improvement of Network Efficiency in IEEE 802.11E IEEE 802.11E中提高网络效率系统的设计与开发

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169644

H. Bedi, Shakti Raj Chopra

引用次数: 0

Risk-Based Reliability Assessment of Modern Power Systems using Machine Learning and Probability Theory 基于机器学习和概率论的现代电力系统可靠性风险评估

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169796

B. Rajanarayan Prusty, S. Mohan Krishna, Kishore Bingi, Neeraj Gupta

引用次数: 1

Detecting Copy Move Image Forgery using a Deep Learning Model: A Review 使用深度学习模型检测复制移动图像伪造:综述

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169568

K. Lalli, V. K. Shrivastava, R. Shekhar

{"title":"Detecting Copy Move Image Forgery using a Deep Learning Model: A Review","authors":"K. Lalli, V. K. Shrivastava, R. Shekhar","doi":"10.1109/ICAIA57370.2023.10169568","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169568","url":null,"abstract":"The digital images can easily be manipulated using Software tool or mobile application these days. Dispersal of forgery images in social media is one of the prime threats and it has a prodigious impact. Most shared tampered images are based on duplicating some part of the image (copy move image forgery) and merging some portion of two different images (image splicing). Hence, trust in a digital image on social media is becoming extremely hard nowadays. The researchers are highly active in finding a solution for this challenge and there are several papers proposed with different approaches to solve this issue. Most of the suggestions revolve around deep learning models that are efficient and suitable to detect copy move images. This paper focusses on reviewing various Deep Convolution Neural Network (DCNN) approaches and hybrid Deep learning models in copy move image detection by comparative analysis of the experimental outcome of the different models presented for this issue. This research article compares various articles relating to our issue by means of a model, a dataset, and the characteristics of those articles.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129787995","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: 2

Development of AI Enabled Solution for Efficient Feature Enrichment from Multiple Data Sources: An Application in Precision Agriculture 基于人工智能的多数据源特征高效富集解决方案的开发:在精准农业中的应用

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169451

Vatsala Singh, G. Singh

{"title":"Development of AI Enabled Solution for Efficient Feature Enrichment from Multiple Data Sources: An Application in Precision Agriculture","authors":"Vatsala Singh, G. Singh","doi":"10.1109/ICAIA57370.2023.10169451","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169451","url":null,"abstract":"The world is surrounded by enormous amount of data almost generated at an unpredictable velocity, in huge volume, variety and veracity. Our traditional systems, however have not yet reached a state where they can efficiently use every bit of this Big data and incorporate it to derive consistent information. Data Fusion is one such technique which can help us achieve this goal. It can be applied to various fields, however for the scope of this paper we have focused on its implementation in Precision Agriculture. While remote sensing has played a major role in precision agriculture by harnessing satellite data as a non-destructive way of information retrieval. The data collected from these satellite varies widely depending on the technique, spatial resolution, temporal resolution, spectral range, viewing geometry of the sensors, thus providing us different amounts of information for different use cases, some in which makes it quiet challenging for the researchers to harness all the information available to attain higher levels of precision, as high as to be able to classify at a sub pixel level while retaining the efficiency and feasibility of the solution. one of the major pain point in agriculture is monitoring large fields and gauging their crop density per square meter. While crop density of a field depends hugely of the soil quality, moisture, fertilizer percentage knowing crop density can have a great impact on yield prediction, sustainable fertilization and overall better through put of a field. Thus, in this paper we have explored the possibility of fusing data from different sensors using CNN based Data Fusion Algorithm to retrieve crop density and segregate patches of field as sparse or dense respectively. The results are quite encouraging.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125852445","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

Diabetic Retinopathy Detection & Classification using Efficient Net Model 基于高效网络模型的糖尿病视网膜病变检测与分类

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169756

Ishika Giroti, J. Das, N. Harshith, Gousia Thahniyath

引用次数: 0

Flood Risk Assessment Mapping of Nainital District Using GIS Tools 基于GIS工具的首都地区洪水风险评估制图

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169591

K. Rai, N. Mishra, Arun Sharma, Sachin Mishra, Prasad Prakashrao Dahale

{"title":"Flood Risk Assessment Mapping of Nainital District Using GIS Tools","authors":"K. Rai, N. Mishra, Arun Sharma, Sachin Mishra, Prasad Prakashrao Dahale","doi":"10.1109/ICAIA57370.2023.10169591","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169591","url":null,"abstract":"Natural disasters, over which humans have no control and which cause far more harm than man-made disasters, have posed the greatest challenge to humanity. Floods are a hydrological disaster that has occurred often in our country since its founding. Rivers like the Ganga and the Brahmaputra run through India. All of these rivers, as well as their tributaries, are involved in a variety of agricultural and human activities. Floods have claimed countless lives and wreaked havoc on the banks of our country’s rivers on numerous occasions. The major goal of our research is to evaluate the many aspects that influence flood risk zonation mapping of 2021 and, as a result, damage assessment. The study area will be the Nainital district of the state of Uttrakhand, with Sentinel 2A as the dataset. The flood mitigation indices, climatic factors, and shapefiles will be interpolated using the Analytical Hierarchical Process (AHP), which will aid in the construction of Flood risk zonation mapping. Flood research is essential in order to reduce the loss and destruction caused by this tragedy.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114818961","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

Design of 4-bit servo tracking type ADC using Sky-Water SKY130 PDK and eSim 基于skywater SKY130 PDK和eSim的4位伺服跟踪型ADC设计

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169547

Ashwini Kumar, Kunal P. Ghosh, Sumanto Kar, Rahul Paknikar

引用次数: 0

Gameplay Automation 游戏自动化

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169757

Shaik Mahammad Aasheesh, K. N. S. R. Reddy, Manideep Yellani, D. N, Soumya Shridhar Hegde

引用次数: 0

Novel Obfuscated Secure Architecture for Baugh Wooley Multiplier Baugh Wooley乘法器的新型模糊安全架构

2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1) Pub Date : 2023-04-21 DOI: 10.1109/ICAIA57370.2023.10169781

Jyotirmoy Pathak, S. Tripathi

{"title":"Novel Obfuscated Secure Architecture for Baugh Wooley Multiplier","authors":"Jyotirmoy Pathak, S. Tripathi","doi":"10.1109/ICAIA57370.2023.10169781","DOIUrl":"https://doi.org/10.1109/ICAIA57370.2023.10169781","url":null,"abstract":"The internationalisation of the semiconductor supply chain brings with it an increase in the hazards posed to both data security and physical security. Theft of intellectual property through reverse engineering and harmful design alterations are two primary threats. The latter is supported, in part, by the fruitful use of reverse engineering to the design. Two of the strategies that are currently under investigation to prevent reverse engineering by end users or foundries are known as IC stealth and logic blocking. Nonetheless, for a number of years, one of the most difficult challenges has been the creation of low-overload camouflage and blocking schemes that are resilient enough to endure the ever-changing condition of heart attacks. This article describes a unique design for a disguised multiplier as well as an implementation of that architecture. The structure that has been suggested is capable of being reorganised to compute an S-bit Baugh-Wooley multiplier. To conceal obfuscation modes, a fresh control flow method has been developed and implemented. When compared to the original design, it has been demonstrated that the suggested method results in space and power needs that are significantly reduced.","PeriodicalId":196526,"journal":{"name":"2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133790682","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