2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)最新文献_第8页

A simple solar energy harvester for wireless sensor networks 用于无线传感器网络的简单太阳能收集器

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824104

Lim Jin Chien, M. Drieberg, P. Sebastian, Lo Hai Hiung

{"title":"A simple solar energy harvester for wireless sensor networks","authors":"Lim Jin Chien, M. Drieberg, P. Sebastian, Lo Hai Hiung","doi":"10.1109/ICIAS.2016.7824104","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824104","url":null,"abstract":"Wireless Sensor Network (WSN) is an advanced technology that allows users to monitor the environmental or physical condition such as light intensity, temperature, pressure and many more. Generally, WSN motes are powered by two AA sized batteries. However, these batteries have a limited lifespan and need to be changed whenever their energy supply is depleted. Therefore, solutions using energy harvesting system has been proposed to overcome this problem. Nevertheless, many existing design are quite complicated. In this work, a simple and low cost solar energy harvester for WSN is developed. Solar power was chosen due to its wide availability and high power density. The solar energy harvesting circuit consists of a solar panel, rechargeable batteries and a voltage regulator. Experimental results of the harvester have shown that even a simple solar energy harvesting system is able to supply sufficient energy to ensure the WSN's continuous operation. Furthermore, the simple solar harvester design can provide a starting guide for researchers and engineers to quickly obtain a working knowledge in this exciting and emerging area.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133946688","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: 30

Performance optimization of passive SAW sensor 无源SAW传感器性能优化

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824130

M. Z. Aslam, V. Jeoti, N. H. Hamid, A. F. Malik

引用次数: 0

PID tuning control strategy using Cuckoo search algorithm for pressure plant 基于布谷鸟搜索算法的压力装置PID整定控制策略

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824127

Kelvinder Singh, I. Elamvazuthi, K. Shaari, F. Lima

引用次数: 3

A localization approach in a distributed multiagent environment 分布式多智能体环境中的一种定位方法

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824113

K. Munawar, Ubaid M. Al Saggaf, Muhammad Saim, M. Moinuddin

{"title":"A localization approach in a distributed multiagent environment","authors":"K. Munawar, Ubaid M. Al Saggaf, Muhammad Saim, M. Moinuddin","doi":"10.1109/ICIAS.2016.7824113","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824113","url":null,"abstract":"Agents in a multi-agent system need to localize themselves and know the positions of the other agents for navigation and good coordination. In the outdoor environment, GPS can solve this problem; however indoors and in the GPS-denied situations, alternate arrangements are necessary. Most of such methods use landmarks or vision-based solutions, and are quite complex and expensive. The objective of this research is to design a simple, yet effective, sensing system for approximate localization of all the agents (or at least those in close vicinity) in a multi-agent environment. The proposed technique uses optical transmitters and receivers available with each agent. An agent transmits a signal to prompt the other agents about the \"region\" in which it is present. All other agents detect this signal and mark the regions (boundaries) where this agent is detected. When all other agents have marked the boundaries for the transmitting agent, the information gathered is exchanged and intersection region is calculated. The final subset region gives the approximate location of the agent that had transmitted the signal. MATLAB® simulations show the effectiveness of the proposed localization approach. The proposed system is scalable and does not require landmarks; more precise localization is possible depending on the requirements.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133217956","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

Optimal output quadratic regulation 最优输出二次调节

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824142

Rahat Ali, Muwahida Liaqat, F. Malik, M. Malik

引用次数: 1

Modeling of PV panels performance based on datasheet values for solar micro energy harvesting 基于太阳能微能量收集数据的光伏板性能建模

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824072

Fahad Rasool, M. Drieberg, N. Badruddin, B. Singh, Mahinder Singh

引用次数: 6

Unit commitment problem solution in the presence of solar and wind power integration by an improved priority list method 利用改进的优先级列表法求解太阳能与风能并网时的机组承诺问题

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824076

S. Abujarad, M. Mustafa, J. J. Jamian

引用次数: 9

Unsupervised face image retrieval using adjacent weighted component-based patches 基于相邻加权分量补丁的无监督人脸图像检索

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824069

R. Banaeeyan, M. H. Lye, M. Fauzi, H. A. Karim, John See

{"title":"Unsupervised face image retrieval using adjacent weighted component-based patches","authors":"R. Banaeeyan, M. H. Lye, M. Fauzi, H. A. Karim, John See","doi":"10.1109/ICIAS.2016.7824069","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824069","url":null,"abstract":"Face Image Retrieval (FIR) remains a challenging problem in many real word applications due to various pose and illumination alterations of face images. State-of-the-art systems attain good precision by utilizing Bag-of-Visual-Words (BoVW) retrieval model, but their average precision (AP) decline rapidly while retrieving face images, primarily because they disregard face-specific features, and generate low discriminative visual words, mainly at the quantization level. In this paper, we employ facial patch-based features to preserve more discriminative features at patch-level in order to achieve a higher precision. We take advantage of the TF-IDF voting scheme to give more weights to more discriminative facial features. First, features are extracted from facial components instead of the whole face which preserves more informative and person-specific features. Then, an adjacent patch-based comparison is performed to preserve more discriminative features at patch-level while scoring candidate face images. Finally, a weighting approach is implemented to give even more discrimination to different features from different face components. Experimental results on 1,000 face images from LFW (Labeled Faces in the Wild) indicate the superiority of proposed approach by means of higher mean average precision (mAP).","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125191671","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

Performance comparison of one &two quantum wells light emitting diodes simulated with COMSOL multiphysics 用COMSOL多物理场模拟一、二量子阱发光二极管的性能比较

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824107

Pradeep Kumar, M. Saheed, Z. A. Burhanudin

引用次数: 1

Robust vehicle localization with GPS dropouts 具有GPS丢失的鲁棒车辆定位

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824135

Salman Ali Shaukat, K. Munawar, M. Arif, A. I. Bhatti, U. I. Bhatti, U. Al-Saggaf

引用次数: 6