2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)最新文献_第10页

Performance Analysis of Novel Iris Monitoring System Based on Canny Detection Algorithm in comparison with Prewitt Algorithm 基于Canny检测算法的新型虹膜监测系统性能分析与Prewitt算法比较

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9754088

D. R. D. Varma, R. Priyanka

引用次数: 1

Diabetic Retinopathy Detection Using Statistical Features 利用统计特征检测糖尿病视网膜病变

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9753932

A. Reethika, J. Sathish, P. Priya, F. D. Shadrach, M. S. Kanivarshini

引用次数: 6

Assertive Vision Using Deep Learning and LSTM 使用深度学习和LSTM的自信视觉

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9754057

Siddhant Singh Bhadauria, Dharmendra Bisht, T. Poongodi, Suman Avdhesh Yadav

{"title":"Assertive Vision Using Deep Learning and LSTM","authors":"Siddhant Singh Bhadauria, Dharmendra Bisht, T. Poongodi, Suman Avdhesh Yadav","doi":"10.1109/iciptm54933.2022.9754057","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9754057","url":null,"abstract":"Image captioning is an elemental which needs correct understanding of images and also the ability of generating description sentences with proper and proper structure. The captioning of an image must identify the objects within the image, their actions, and their relationships, in addition as any silent features that will be absent from the image. This has been a challenging task within the field of computing throughout the years. Using any tongue sentences to automatically create a picture description may be a difficult issue. This paper explores the numerous picture captioning models that are available. Within the past few years, the matter of generating descriptive sentences automatically for images has garnered a rising interest in tongue processing and computer vision research. The LSTM units are intricate and naturally sequential in nature. Our model can study long-time period visual-language interactions the usage of ancient and information about the future in a high-level semantic domain via combining two different LSTM networks and a deep CNN. We used two publicly available datasets to demonstrate the utility of this strategy: Flickr8k and Flickr30k. Flickers has an API that may be used for image collections. We will use the APIs to search out images and explore for them by tag as an example, you'll search images for common day items/places and buildings like burger, temple, etc. We provide multiple approaches to picture captioning supported deep learning similarly as distinct evaluation strategies during this survey work. Since present deep learning may be a black-box model, it's critical to look at the impact on each module to completely comprehend the model.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"10 1","pages":"761-764"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78976561","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

Artificial Intelligence led Industry 4.0 Application for Sustainable Development 人工智能引领工业4.0应用可持续发展

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9753944

Gurinder Singh, Garima Bhardwaj, S. V. Singh, Naina Chaudhary

{"title":"Artificial Intelligence led Industry 4.0 Application for Sustainable Development","authors":"Gurinder Singh, Garima Bhardwaj, S. V. Singh, Naina Chaudhary","doi":"10.1109/iciptm54933.2022.9753944","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753944","url":null,"abstract":"In recent times we can observe technological growth in respect of new expansions, innovations, and improvements in every industry. This brings a great movement in this era in the field of military, healthcare, industries, education, or daily households. Technology 4.0 has boomed into the current market with the name of Industry 4.0 which deals with the information change in automation and manufacturing technologies. It includes the concept of IoT, cloud computing, and artificial intelligence for generating smart factories and industries. Industry 4.0 knots the digital and physical progressions together to create these smart industries. It also optimizes and manages the real-time requirements and supply chain management in the factories. It makes a profit to the industries and organizations by quick decision making and its efficiency. The backbone of this technology is Artificial intelligence which gives a substantial contribution to Industry 4.0. AI deals with all the technologies we use in our daily lives. The environment in which we are living has a great impact on AI as all the physical data is associated with digital data. The dynamic nature of AI shows its efficiency in the field of sports, security, the military, industries, production, and many more organizations. Now this combination of Industry4.0 and AI together equips the application with enormous solutions and services. Industry 4.0 is still at its early stage of expansion, implementation, and employment even though it has a significant performance in every domain. In this paper, we have done a study on AI & Industry 4.0 and discussed its challenges, importance, techniques used, and outcomes. Lastly, its effects and benefits and the importance of invention in the area of industries and day-to-day lives have been discussed.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"33 1","pages":"339-343"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82932767","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

Communication Technologies and Challenges on 6G Networks for the Internet: Internet of Things (IoT) Based Analysis 6G互联网通信技术与挑战:基于物联网(IoT)的分析

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9753990

Karthik Kumar Vaigandla

{"title":"Communication Technologies and Challenges on 6G Networks for the Internet: Internet of Things (IoT) Based Analysis","authors":"Karthik Kumar Vaigandla","doi":"10.1109/iciptm54933.2022.9753990","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753990","url":null,"abstract":"The upcoming sixth-generation (6G) communication system is expected to deal with boundless advances compared to the existing fourth-generation (4G) communication system. The basic challenges in a 6G networking system are low latency, low energy consumption, high capacity, and high quality of experience, massive connectivity, and reliable connectivity. Thus, the 6G network will be able to provide customers a new experience of the digital virtual world with its several-fold improved performances. As sixth generation (6G) wireless communication networks will serve the service and applications via the Internet of Things (IoT), it has the possibility to ensure future intelligence. The purpose of this research article is to investigate the communication technologies and challenges on 6G networks for the internet with the cooperation of Internet of Things(IOT). Depending on a secondary data collection method the researcher has set the collection process of relevant data and information of the mentioned topic. It has helped the researcher to lead the study towards the correct direction. Similarly, the collected resources used qualitative methods to malaise the data to be understandable. Furthermore, this study will help the readers to understand the appropriate effectiveness of the ways to mitigate the challenges in the 6G network system. Implementing a sixth-generation network system can provide different advantages and challenges such as building a network that is suitable for the environment, cost-effective, supported by mobile devices, and connected with AI technology to perform more efficiently. In this paper, challenges in the implementation of the next-generation network system have been discussed and this study examines the solution that can be applied to deal with such challenges.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"1 1","pages":"27-31"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83327099","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: 14

A Systematic Review of Effect Analysis in Community Lattices 群落格效应分析的系统综述

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9753923

Priyanka, Monica Luthra

{"title":"A Systematic Review of Effect Analysis in Community Lattices","authors":"Priyanka, Monica Luthra","doi":"10.1109/iciptm54933.2022.9753923","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753923","url":null,"abstract":"Effect analysis, in addition to this uses of community interaction, is a fundamental tool enabling these usual applications. In the last few years, both industry and academia have paid careful attention to this growing research area. In this new area, researchers confront aplethora of theoretical and practical difficulties that have never been encountered before. As a result, by asking the most recent work in this scope, we want to give a pervasive and trustworthy onset point for those people who have interest in reading. First, we present a supervision of a lattice of community interaction and personal relationship, including its explanation and several kinds. Secondly, we examine the community impact analysis framework, its metrics, evaluation replica, and types of effectincrementinnovations. Thirdly, weprovide a systematic literature review on Effect Analysis in CommunityLattices. Fourth, we will explore numerous research concerns and future prospects in communitylattices. Finally, we bring our investigation to a conclusion. We hope that our study will encourage more and more ambitious academics to delve deeper into the uncharted area of this prospective research topic.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"50 1","pages":"319-324"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85981797","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

Smart Grid Architecture: A Bibliometric Analysis and Future Research Directions 智能电网架构:文献计量学分析与未来研究方向

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9754210

Aurelie' Kpoze, Jules Degila, Henoc Soude, S. Wamba

引用次数: 1

Comparison of Rainfall Time Series to Identify Predictors for Summer Monsoon Rainfall 比较降雨时间序列以确定夏季风雨量的预测因子

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9753958

Neela Rayavarapu, Shilpa Hudnurkar

{"title":"Comparison of Rainfall Time Series to Identify Predictors for Summer Monsoon Rainfall","authors":"Neela Rayavarapu, Shilpa Hudnurkar","doi":"10.1109/iciptm54933.2022.9753958","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753958","url":null,"abstract":"India receives rainfall due to monsoons. The main contribution of India's total rain comes from the monsoon observed in summer, called the Summer Monsoon Rainfall. The distribution of rainfall across India is significantly variable. Precipitation and its prediction are crucial, especially for states like Maharashtra, which has approximately 70% rainfed land. This paper presents a comparative analysis of two summer monsoon rainfall time series, namely the Marathwada and Maharashtra summer monsoon rainfall series. Continuous Wavelet Transform is used to examine the level of similarity between the two-time sequences, revealing the features of both. Further, both time series are studied for correlations with the main global index, the El Nino Southern Oscillation (ENSO). For the probable identification of seasonal rainfall predictors, the ENSO indices considered here are the Southern Oscillation Index, Multivariate ENSO Index, and Oceanic Nino Index. The effect of warm El Nino phases on these time series is also compared. The study attempts to determine if the prediction model for the Marathwada region can be the same used for the state of Maharashtra or if there is a need to identify a different set of predictors specifically for this region.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"49 1","pages":"805-811"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73836053","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

Application of different Machine Learning models for Supply Chain Demand Forecasting: Comparative Analysis 不同机器学习模型在供应链需求预测中的应用:比较分析

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9753864

D. Singha, Chetan Panse

{"title":"Application of different Machine Learning models for Supply Chain Demand Forecasting: Comparative Analysis","authors":"D. Singha, Chetan Panse","doi":"10.1109/iciptm54933.2022.9753864","DOIUrl":"https://doi.org/10.1109/iciptm54933.2022.9753864","url":null,"abstract":"Demand is defined as the propensity or willingness of customers to pay a certain amount of price for a product or service they desire. Business entities use various forecasting techniques to anticipate customer demands in advance to make crucial strategic decisions related to various aspects of the supply chain, such as customer service level, inventory management, manufacturing planning, and control, etc. But the error related to forecasting models creates uncertainty and poses a great challenge to decision-makers. With the ever-changing market dynamics, it is becoming more and more important for businesses to minimize those forecasting errors. In this paper, we have analysed the application of various advanced Machine Learning algorithms like Multi-layered Perceptron model (MLP), Convolution Neural Network (CNN), Long-Short Term Memory (LSTM) Networks, etc. in Time Series Forecasting, thereafter, performed a comparative analysis to understand which of them yields the better result. To perform the analysis, we have considered the ‘Store Item Demand Forecasting’ dataset available at Kaggle.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"60 1","pages":"312-318"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78150147","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

Energy Harvesting Sensors based Internet of Things System for Precision Agriculture 基于能量采集传感器的精准农业物联网系统

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2022-02-23 DOI: 10.1109/iciptm54933.2022.9754203

Rana Gill, P. Chawla

引用次数: 2