2012 Sixth International Conference on Sensing Technology (ICST)最新文献_第9页

BEAMS: Battery Exhaustion Anomaly Monitoring System model in SENSORNET SENSORNET中电池耗尽异常监测系统模型

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461770

T. Bhattasali, R. Chaki

引用次数: 0

Remote Sensing and GIS techniques for forest resource monitoring and agriculture potentiality 森林资源监测和农业潜力的遥感和地理信息系统技术

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461703

S. Samanta

{"title":"Remote Sensing and GIS techniques for forest resource monitoring and agriculture potentiality","authors":"S. Samanta","doi":"10.1109/ICSENST.2012.6461703","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461703","url":null,"abstract":"Remote Sensing (RS) and Geographic Information System (GIS) has demonstrated itself as a very powerful tool in forest and agricultural research and natural resource management. This study proposes an empirical methodology for analyzing and mapping of forest resource and agriculture potentiality using the RS and GIS techniques. The study is carried out over Morobe province in the Papua New Guinea. The forest resource monitoring, mapping and change analysis have been carried out using two sets of satellite data during 2005 to 2010 based on hybrid maximum-Normalized Differential Vegetation Index (NDVI) and minimum-red compositing technique. The paper also examines multi-criteria decision approach to determine rice cultivation suitability based on different variables, like topography, physical and chemical soil properties, climate and land accessibility that are mandatory inputs to land suitability model. These parameters are generated from Shuttle Radar Topography Mission (SRTM) data, soil data base, monthly and annual temperature and rainfall data, respectively. ArcGIS v-10 and Erdas Imagine v-11 model builder are used to construct the index model for agriculture suitability analysis. The entire study area has been classified into five categories of rice suitability. The result indicates that only four percent (4%) land can be demarcated as `very high' and twenty one percent (21%) as `high' suitability categories in the study area and the spatial expanse of all the five categories within the province are mapped and displayed.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132988599","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

Architectures for modular smart sensor systems 模块化智能传感器系统的架构

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461670

M. Ribeiro, O. Postolache, P. Girão

引用次数: 1

Vision sensing system for early detection of Pebrine spore in silk moth 视觉传感系统对蚕蛾微孢子的早期检测

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461673

A. Akuli, T. Dey, P. Chopra, A. Pal, S. Alarn, N. Bhattacharyya

{"title":"Vision sensing system for early detection of Pebrine spore in silk moth","authors":"A. Akuli, T. Dey, P. Chopra, A. Pal, S. Alarn, N. Bhattacharyya","doi":"10.1109/ICSENST.2012.6461673","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461673","url":null,"abstract":"An important aspect of silkworm seed production is to ensure Pebrine disease free eggs. For that reason, the egg-laying moths are cut and their tissues are examined under microscope for presence of Pebrine spores in those tissues. If the tissues are found free of infection, then only the corresponding eggs are distributed amongst the villagers pursuing sericulture. Currently the entire process is manual, time and labor intensive. Many a time human error also creeps in leading to outbreak of Pebrine disease. This paper proposes automation of the Pebrine spore detection process by capturing photomicrographic images and classifying Pebrine spores using digital image processing technique thereby improving productivity and accuracy of this process. Captured RGB image has been enhanced by image enhancement process to get better processing result in further steps. Local threshold based segmentation technique has been applied to segment the foreground objects. The segmented foreground objects have been labeled individually by a stack-based connected-component labeling technique. Then advanced binary morphological technique based feature detection procedures have been performed to remove the unwanted noise and non-Pebrine objects and to extract various feature parameters of filtered Pebrine objects. Initially, more than 200 images have been analyzed using developed solution & the results have been validated with the human experts. Laboratory experiments found the accuracy of detection in the tune of 75%.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129525386","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

Long term Cochlear Implant electrode improvement for stimulation and sensing neuronal activity 长期人工耳蜗电极刺激和感知神经元活动的改进

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461736

N. Lawand, P. French, J. Briaire, J. Frijns

引用次数: 1

Microcontroller-based sensors and instrumentation for Roll-to-Roll application 基于微控制器的传感器和仪器，用于滚对滚应用

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461774

S. Tsai, S. Mukhopadhyay, N. Yoksen, J. Chang

引用次数: 1

Cloud computing for Internet of Things & sensing based applications 基于物联网和传感应用的云计算

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461705

Prahlada Rao B.B., P. Saluia, N. Sharma, A. Mittal, S. Sharma

{"title":"Cloud computing for Internet of Things & sensing based applications","authors":"Prahlada Rao B.B., P. Saluia, N. Sharma, A. Mittal, S. Sharma","doi":"10.1109/ICSENST.2012.6461705","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461705","url":null,"abstract":"Internet of Things (IoT) is a concept that envisions all objects around us as part of internet. IoT coverage is very wide and include variety of objects like smart phones, tablets, digital cameras, sensors, etc. Once all these devices are connected with each other, they enable more and more smart processes and services that support our basic needs, economies, environment and health. Such enormous number of devices connected to internet provides many kinds of services and produce huge amount of data and information. Cloud computing is a model for on-demand access to a shared pool of configurable resources (e.g. compute, networks, servers, storage, applications, services, and software) that can be easily provisioned as Infrastructure (IaaS), software and applications (SaaS). Cloud based platforms help to connect to the things (IaaS) around us so that we can access anything at any time and any place in a user friendly manner using customized portals and in built applications (SaaS). Hence, cloud acts as a front end to access Internet of Things. Applications that interact with devices like sensors have special requirements of massive storage to storage big data, huge computation power to enable the real time processing of the data, and high speed network to stream audio or video. In this paper, we describe how Internet of Things and Cloud computing can work together can address the Big Data issues. We also illustrate about Sensing as a service on cloud using few applications like Augmented Reality, Agriculture and Environment monitoring. Finally, we also propose a prototype model for providing sensing as a service on cloud.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123775271","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: 314

Single Hop Sensor Deployment Algorithm 单跳传感器部署算法

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461699

A. K. Chattopadhyay, C. K. Bhattacharyya, S. Bhattacharya

{"title":"Single Hop Sensor Deployment Algorithm","authors":"A. K. Chattopadhyay, C. K. Bhattacharyya, S. Bhattacharya","doi":"10.1109/ICSENST.2012.6461699","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461699","url":null,"abstract":"Most important issues of sensor deployment within a given terrain are - complete sensing coverage within the terrain, a low cost deployment algorithm, no deployment within obstacles and minimizing the number of sensors to be deployed. A good routing algorithm required for fast commutations and less traffic between the sensor-nodes, for efficient tracking of objects within the terrain and finally low cost sensor with lowest possible memory requirement and better energy management. The proposed Single Hop Sensor Deployment Algorithm or SHSD Algorithm in short, considers an irregular terrain with obstacles for deployment. In the proposed algorithm two types of sensor nodes are considered, client sensor-nodes which are homogeneous in type with same sensing and communication coverage and server-nodes which are heterogeneous in type with greater communication coverage than sensing coverage. Each server with four clients forms a WSN, where any sensing of object by any of the four client nodes will be communicated to the server-node. Each server-node can communicate directly with its neighboring server-nodes. A moving object tracked by a WSN, can be reported to its neighbor WSNs without involving the client nodes, which definitely decrease traffic and increase the speed of communication. The gain in deployment algorithm is, instead finding the location of individual nodes for deployment; locations need to be searched for WSNs (for 5-sensors together).","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127278603","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

Silk cocoon and rubber based gas sensors 蚕茧和橡胶气体传感器

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461653

P. Ghosh, A. Sarkar

引用次数: 1

Synthesis, characterization and performance of pure and surface modified BaSnO3 with Ti02 thick film resistor as a gas sensor 二氧化钛厚膜电阻气体传感器纯及表面改性BaSnO3的合成、表征及性能

2012 Sixth International Conference on Sensing Technology (ICST) Pub Date : 2012-12-01 DOI: 10.1109/ICSENST.2012.6461769

N. Patil, G. Jain, V. Gaikwad

引用次数: 1