2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology最新文献_第3页

Classifying Piper Nigrum Using Artificial Bee Colony Algorithm 用人工蜂群算法对黑椒进行分类

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.17

N. Yusup, Awang Iskandar, S. H. Hassan

引用次数: 1

Energy Saving in Electric Heater of Carbon Fiber Stabilization Oven 碳纤维稳定炉电加热器的节能研究

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.27

K. Badii, M. Naebe, G. Golkarnarenji, N. Dhami, Stephen Atkiss, Derek Buckmaster, B. Fox, H. Khayyam

引用次数: 11

Microcontroller Based Wireless Obstacle Detection System for the Elderly 基于单片机的老年人无线障碍物检测系统

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.60

B. Mustapha, A. Zayegh, R. Begg

{"title":"Microcontroller Based Wireless Obstacle Detection System for the Elderly","authors":"B. Mustapha, A. Zayegh, R. Begg","doi":"10.1109/ICAIET.2014.60","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.60","url":null,"abstract":"Assistive technology has not yet reached an acceptable level of success in addressing the needs of the elderly to navigate safely, comfortably, gracefully, and independently. This paper discussing on the development of microcontroller based wireless obstacle detection system for the elderly, which attached at shoes to facilitate safe navigation and mobility of the elderly. Microcontroller and a wireless module are a key component in the processing and transmission of data. Buzzer, vibrator and speech synthesizer are used as alerting signal when the obstacle is detected by the system. Working principle of the system is based on two main functions: sensing the environment and also detect obstacles through IR sensor and the US sensor and provide an alert to the user during walking when the obstacle is detected. Both microcontrollers at the transmitter and receiver units have been programmed through MP Lab software packages with the intelligent control algorithm to meet the user's requirements. This system can identify obstacle's distance within the detection range at more than 95% of accuracy. The proposed system make the users feel comfortable to walk seamlessly without imposing upon them any physical or cognitive load.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134459229","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: 5

PC Based Blood Pressure Meter for E-health Application 基于PC的血压计在电子医疗中的应用

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.59

B. Mustapha, M. Hassan, Z. Mohamad, I. Kamaruddin, R. Yahya

{"title":"PC Based Blood Pressure Meter for E-health Application","authors":"B. Mustapha, M. Hassan, Z. Mohamad, I. Kamaruddin, R. Yahya","doi":"10.1109/ICAIET.2014.59","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.59","url":null,"abstract":"A blood pressure is one of the fundamental vital signs, and its measurement is important to medical professionals and the general public alike. Nowadays, there are several types of blood pressure meter available manufactured from various companies. In order to meet the demand on telemedicine and technology advancement, a new form of blood pressure meter is desirable. This prototype of blood pressure meter is interfaced with a personal computer (PC) which able to simulate the measurement process in real time. The proposed system is divided by two parts which are hardware and software. Hardware section includes pressure sensor, microcontroller, bulb, cuff and conditioning circuits. The systems operate on oscillometric principle which gives the results in terms of systolic, diastolic and MAP (Mean Arterial Pressure). Furthermore, these results will be presented and simulated on the software. MP Lab software packages is used to program the microcontroller. The user interface was developed by using Visual Basic 6.0 language, which highlights the user friendly attributes. Moreover, the simulated waveform will evaluate the blood pressure and gives the blood pressure value. This application shows significant improvement on the overall performance and gives reliable results. The average percentage difference for the systolic and diastolic blood pressure between the OMRON BP meter and proposed e-BPMS are ± 0.95% and ± 1.32% respectively, which is very small and still in the acceptable range. The framework used to design proposed machine is easy to understand, and it can be extended further to endorse and meet requirements of e-health applications.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125703661","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

Text Document Preprocessing and Dimension Reduction Techniques for Text Document Clustering 文本文档预处理和文本文档聚类降维技术

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.21

Ammar Ismael Kadhim, Y. Cheah, Nurul Hashimah Ahamed

{"title":"Text Document Preprocessing and Dimension Reduction Techniques for Text Document Clustering","authors":"Ammar Ismael Kadhim, Y. Cheah, Nurul Hashimah Ahamed","doi":"10.1109/ICAIET.2014.21","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.21","url":null,"abstract":"Text mining defines generally the process of extracting interesting features (non-trivial) and knowledge from unstructured text documents. Text mining is an interdisciplinary field which depends on information retrieval, data mining, machine learning, parameter statistics and computational linguistics. Standard text mining and retrieval information techniques of text document usually rely on similar categories. An alternative method of retrieving information is clustering documents to preprocess text. The preprocessing steps have a huge effect on the success to extract knowledge. This study implements TF-IDF and singular value decomposition (SVD) dimensionality reduction techniques. The proposed system presents an effective preprocessing and dimensionality reduction techniques which help the document clustering by using k-means algorithm. Finally, the experimental results show that the proposed method enhances the performance of English text document clustering. Simulation results on BBC news and BBC sport datasets show the superiority of the proposed algorithm.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122010339","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: 52

Modified Neural Network Activation Function 改进的神经网络激活函数

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.12

Adamu I. Abubakar, H. Chiroma, Sameem Abdulkareem, A. Gital, S. A. Muaz, Jafaar Maitama, Muhammad Lamir Isah, T. Herawan

{"title":"Modified Neural Network Activation Function","authors":"Adamu I. Abubakar, H. Chiroma, Sameem Abdulkareem, A. Gital, S. A. Muaz, Jafaar Maitama, Muhammad Lamir Isah, T. Herawan","doi":"10.1109/ICAIET.2014.12","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.12","url":null,"abstract":"Neural Network is said to emulate the brain, though, its processing is not quite how the biological brain really works. The Neural Network has witnessed significant improvement since 1943 to date. However, modifications on the Neural Network mainly focus on the structure itself, not the activation function despite the critical role of activation function in the performance of the Neural Network. In this paper, we present the modification of Neural Network activation function to improve the performance of the Neural Network. The theoretical background of the modification, including mathematical proof is fully described in the paper. The modified activation function is code name as SigHyper. The performance of SigHyper was evaluated against state of the art activation function on the crude oil price dataset. Results suggested that the proposed SigHyper was found to improved accuracy of the Neural Network. Analysis of variance showed that the accuracy of the SigHyper is significant. It was established that the SigHyper require further improvement. The activation function proposed in this research has added to the activation functions already discussed in the literature. The study may motivate researchers to further modify activation functions, hence, improve the performance of the Neural Network.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130266794","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

A Word Sense Disambiguation Technique for Sinhala 僧伽罗语词义消歧技术

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.42

Janindu Arukgoda, V. Bandara, Samiththa Bashani, Vijayindu Gamage, Daya C. Wimalasuriya

{"title":"A Word Sense Disambiguation Technique for Sinhala","authors":"Janindu Arukgoda, V. Bandara, Samiththa Bashani, Vijayindu Gamage, Daya C. Wimalasuriya","doi":"10.1109/ICAIET.2014.42","DOIUrl":"https://doi.org/10.1109/ICAIET.2014.42","url":null,"abstract":"Word sense disambiguation is the task of identifying the implied sense of a polysemous word in a given context. There have been many efforts on word sense disambiguation for English, but the amount of efforts for Sinhala is very little. This paper presents ongoing efforts on developing a rule based word sense disambiguation algorithm using the Sinhala WordNet developed at University of Moratuwa as a basis. This is the first attempt on building such an algorithm for Sinhala. For this task we have implemented the Simplified Lesk algorithm with our own modifications under the two assumptions 'one sense per collocation' and 'one sense per discourse'. We define a window size around the target polysemous word and calculate the number of words in that window that overlap with each sense of the target polysemous word. Since there has not been many significant initiatives on natural language processing applications for Sinhala, critical resources such as functioning morphological analysis tools are not available, making accurate word sense disambiguation an even harder task. Using web articles as the data source, this system has attempted to disambiguate 10 instances of polysemous words and has been evaluated to achieve a precision of 63% and an F score 0.63.","PeriodicalId":225159,"journal":{"name":"2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127161650","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

Optimal Combination of Color Components for Skin Detection 皮肤检测中颜色成分的最佳组合

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.36

Koh Klevan, M. Hanafi, A. Ramli

引用次数: 2

Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty 考虑政策补贴和燃油价格不确定性的电动汽车渗透率模型

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.44

D. Yamashita, Y. Daisho, D. Satoya, H. Takamori, R. Yokoyama

引用次数: 1

Feature Selection and Classifier Parameter Estimation for EEG Signal Peak Detection Using Gravitational Search Algorithm 基于重力搜索算法的脑电信号峰值检测特征选择与分类器参数估计

2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology Pub Date : 2014-03-12 DOI: 10.1109/ICAIET.2014.26

Asrul Adam, N. Mokhtar, M. Mubin, Z. Ibrahim, M. Tumari, M. I. Shapiai

引用次数: 11