2017 International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第3页

IoT based biomedical waste classification, quantification and management 基于物联网的生物医学废物分类、量化和管理

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282737

Pooja Raundale, Sachin Gadagi, Chinmaya Acharya

{"title":"IoT based biomedical waste classification, quantification and management","authors":"Pooja Raundale, Sachin Gadagi, Chinmaya Acharya","doi":"10.1109/ICCMC.2017.8282737","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282737","url":null,"abstract":"Biomedical waste management and treatment is one of the critical process for organizations (HCF and CBMWTF) because if not handled properly would lead to hazardous effects like mass infection. Bio-Medical Waste (Management and Handling) Rules, 1998 was published vide notification number S. O. 630 (E) dated the 20th July, 1998, by the Government of India.[4]. 60 per cent of secondary care and 54 per cent of tertiary care health facilities were in the RED category i.e. absence of a credible BMW management system in place or ones requiring major improvement. [5] Amount of Biomedical waste generated every year is more than 8% as compared to previous per year. [6] Efforts are being taken to automate waste management by introducing wireless systems. Segregation plans are proposed in order to maximize the recycling of waste and proper handling of non-recyclable waste. That classification would not sustain in wide variety of wastes such as biomedical waste. Hence this type of waste is treated differently. Therefore, such a waste has its own management unit. This study goes over current followed practices that are undertaken by countries and also studies various available technologies to automate such processes and carefully handling biohazardous waste automatically.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"244 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120975157","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

IoT based crack detection and protection for dams 基于物联网的大坝裂缝检测和保护

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282526

Bindu Shukla, P. Deepti, S. Vittal, J. M. ManiDeepika, K. Lingaraj

{"title":"IoT based crack detection and protection for dams","authors":"Bindu Shukla, P. Deepti, S. Vittal, J. M. ManiDeepika, K. Lingaraj","doi":"10.1109/ICCMC.2017.8282526","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282526","url":null,"abstract":"The cracks present on concrete structures such as dams have be detected at an early stage in order to prevent the further damage that is likely to occur. At regular intervals these concrete structures have to be inspected in order to assure their quality. The main objective of the project that we have undertaken is to determine the major cracks produced by the environmental changes such as flooding, man made errors and thereby generating an alarm to alert the concerned authorities, in this way we will determine the cracks and finally protect the dams. By using the microcontrollers and sensors we determine the cracks present on the structures and other leakage that may occur. This is an embedded system which is able to closely monitor the parameters of the dam on regular basis and this model is fully automated and keeps the track of the dam parameters on a regular basis. Authorities are indicated for changes in actuator state there by giving an option for manual override. This project will also provide user-friendly interface panel therefore the unskilled workers can also use this model with great ease.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130867248","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

Dynamic priority based load balancing technique for VM placement in cloud computing 云计算中基于动态优先级的虚拟机放置负载平衡技术

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282583

Khusboo Patel, Megha R. Desai, Dishant R. Soni

引用次数: 8

M-health : A complete healthcare solution 移动医疗:一个完整的医疗保健解决方案

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282527

Rohan Vaidya, D. Trivedi

引用次数: 5

Video surveillance system for realtime flood detection and mobile app for flood alert 实时洪水检测视频监控系统和洪水预警移动应用

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282518

K. Menon, L. Kala

引用次数: 10

Design of IoT based intelligent parking system using image processing algorithms 基于物联网的智能停车系统图像处理算法设计

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282631

Sagar Rane, A. Dubey, Tejisman Parida

{"title":"Design of IoT based intelligent parking system using image processing algorithms","authors":"Sagar Rane, A. Dubey, Tejisman Parida","doi":"10.1109/ICCMC.2017.8282631","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282631","url":null,"abstract":"Advancement in industrialization leaves the parking management system outdated. Traffic condition in foreign countries are homogeneous whereas India's traffic condition is heterogeneous which makes real-time management at parking lot difficult. Traffic congestion at parking lot has become often, that people cannot even find the place to park their vehicle especially in large companies where first come first serve method is used for parking vehicle. In nutshell, parking condition needs to be improved by introducing Internet of Things (IoT) to parking lots. With the help of Microcontrollers and Image processing, tradition parking lots can be converted into smart one. The proposed system will also help company to enter only registered employees and to manage limited parking place, efficiently. Image processing algorithms, such as OCR (Optical Character Recognition) are used to check valid employee. After image processing algorithm, number would be extracted out from number plate and sent to server, for employee verification. In the similar fashion, server will also receive exact traffic density count at parking lot and other statistics from the microcontroller. Android App can be used by the user to extract the details from server at any time on demand find the proper location for parking. This technology will help the companies with large number of employees to park their vehicle without wastage of time. This system also alert authorities when less than 10% space is available and have reserved parking for women, physically handicapped person, and pregnant women. For traffic management at parking lots, a prototype has been designed and tested. Main objective is to come up with a solution for traditional parking lots to save time and money of user.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127017759","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: 33

Cognitive femtocell network: Various challenges and security issues 认知飞蜂窝网络:各种挑战和安全问题

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282516

Priya Tarte, Seema M. Hanchate

引用次数: 1

Artificial neural network based fault prediction framework for transformers in power systems 基于人工神经网络的电力系统变压器故障预测框架

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282519

K. Venugopal, P. Madhusudan, A. Amrutha

引用次数: 9

Compression of old marathi manuscript images using context-based, adaptive, lossless image coding 使用基于上下文的，自适应的，无损的图像编码压缩旧马拉地手稿图像

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282566

Umesh P. Akare, N. Bawane

引用次数: 0

Towards a model for soa adoption based on methodical aspects 建立一个基于方法方面的soa采用模型

2017 International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2017-07-18 DOI: 10.1109/ICCMC.2017.8282628

Supriya Pulparambil, Y. Baghdadi

引用次数: 2