2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)最新文献_第9页

Centralized System for Infant Vaccination 婴儿接种集中系统

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119257

Anshul Bamb, Shreeya Bhonsle

引用次数: 0

Identification of Various Bamboo Diseases Using Deep Learning Approach 利用深度学习方法识别各种竹材病害

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119353

K. Kumar, Sachin Sharma, P. Pandey, H. Goyal

{"title":"Identification of Various Bamboo Diseases Using Deep Learning Approach","authors":"K. Kumar, Sachin Sharma, P. Pandey, H. Goyal","doi":"10.1109/IATMSI56455.2022.10119353","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119353","url":null,"abstract":"Bamboos with their enormous adaptations according to the environment, are used in almost all parts of the world. People often find these to be recognized as plants but instead, they belong to the family of grass. From ancient cultures to modern customization, they are always used. With that being said, these are the natural habitats that too suffer from diseases. Earlier papers were not available easily to the independent researcher and even there is less research on this field. The sole agenda of this paper is to provide all the answers related to the diseases which occur in bamboos. Firstly, we will check whether there is any disease in the sample taken, and then we will try to come up with some models to detect that disease. Here, we are taking the help of machine learning to determine the kind of disease. The Convolutional Neural Network model is used here for detection. Images have been used here as the data input for the training of the model, which Artificial Intelligence (AI) can easily process. This paper also represents the basic characteristics or properties of the diseases that can occur and how those will be distinguished. After all the citations of the earlier projects under this category, we have tried to come up with a solution that will be implemented accurately and efficiently.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116123644","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

Bayesian Network based Reliability Analysis in Edge Computing enabled Machine Vision System 基于贝叶斯网络的边缘计算机器视觉系统可靠性分析

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119369

Himanshu Gauttam, K.K. Pattanaik, Saumya Bhadauria, Garima Nain

引用次数: 1

Automated Quality Estimation of Collaboratively Created Content 协作创建内容的自动质量评估

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119314

Ashok Arora, Aniket Sharma, Pramod Kumar Singh

引用次数: 0

Multi-Layer Perceptron Based Fuzzy Logic Technique for Detection of Attacks in VANETS 基于多层感知机的模糊逻辑VANETS攻击检测技术

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119355

Shubham Shetty, M. D H

引用次数: 0

A 3-Lock based Password Hashing Algorithm 基于3锁的密码散列算法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119411

Anuraj Singh, Mehul Jain, Sakshi Goyal

引用次数: 0

Machine Monitoring for Industry using Computer Vision 使用计算机视觉的工业机器监控

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119424

S. Chiwande, Piyush Meshram, Abhishek Charde, Shreya Bhave, Sushma Nagdeote

引用次数: 0

An Empirical Study for Determining and Prioritizing of Enablers and Barriers to Appropriate Technology Management 适当技术管理的促成因素和障碍的确定和优先排序的实证研究

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119393

Jayshree Patnaik, Ajit Kumar Pasayat

{"title":"An Empirical Study for Determining and Prioritizing of Enablers and Barriers to Appropriate Technology Management","authors":"Jayshree Patnaik, Ajit Kumar Pasayat","doi":"10.1109/IATMSI56455.2022.10119393","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119393","url":null,"abstract":"The potential of Appropriate Technology (AT) development at the Base of the Pyramid (BoP) for meeting economic, social, and environmental needs is rarely evaluated in various verticals. This study initially identified fourteen critical enablers and eight barriers to appropriate technology management through a systematic literature review and validated through multi-case studies. The ranking of different enablers and barriers and predicting their priorities were determined through Friedman Test. The analysis resulted in six enablers and five barriers critical to appropriate technology practices. ‘Understanding of socio-cultural context,’ ‘Utilization of local resources,’ ‘Understandability of technology,’ ‘Robust design,’ and ‘Technology Acceptance’ were the significant enablers. The significant barriers were ‘Technology Transfer,’ ‘Lack of implementation of local skills and knowledge, ‘Behavior Change,’ ‘Lack of Sensitivity,’ and ‘Weak Institutional Support.’ The findings of this study uncover the importance of enablers and barriers that can help organizations exploit these variables for the effective development and dissemination of appropriate technology in a specific region.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126451399","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 and Development of Electronic Speed Controller for Axial Flux BLDC Motor 轴向磁通无刷直流电机电子调速控制器的设计与研制

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119310

V. Mahajan, V. Bhole, Salman Ahmed Shaikh

引用次数: 0

A Deep Learning Model Approach Using Feature Engineering To Predict Melanoma Tumour Size 使用特征工程的深度学习模型方法预测黑色素瘤肿瘤大小

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119334

Trisha Sarkar, Mohit Parekh, S. Shetty, A. Bhise

引用次数: 0