2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)最新文献

Transformation and composition of software design models for Model Driven Development 模型驱动开发中软件设计模型的转换和组合

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-18 DOI: 10.1109/ICIINFS.2015.7398981

D. Meedeniya, I. Perera, J. Bowles

引用次数: 2

Crackle separation and classification from normal Respiratory sounds using Gaussian Mixture Model 用高斯混合模型从正常呼吸声中分离和分类裂纹声

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399022

S. Maruf, M. U. Azhar, S. G. Khawaja, M. Akram

引用次数: 14

RotateCAPTCHA a novel interactive CAPTCHA design targeting mobile devices RotateCAPTCHA一种针对移动设备的新型交互式验证码设计

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7398984

N. R. W. W. M. Wickramasingha, H. B. R. A. K. Keerawella, S. Samarasinghe, R. Ragel

{"title":"RotateCAPTCHA a novel interactive CAPTCHA design targeting mobile devices","authors":"N. R. W. W. M. Wickramasingha, H. B. R. A. K. Keerawella, S. Samarasinghe, R. Ragel","doi":"10.1109/ICIINFS.2015.7398984","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7398984","url":null,"abstract":"Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a challenge-response system test used on the web, designed to differentiate humans from automated computer systems. Most of the widely used CAPTCHA systems are designed with desktop users in mind hence lack the native look and feel when they are used on mobile devices. The reason is the way people interact with desktop/laptop computer using mouse and keyboard is different from the way they interact with mobile devices using touch and other gestures. Also, the screen size and the dimension of the viewing display plays a role in the interaction. Here, we present a novel CAPTCHA system designed for mobile devices and results of the usability study that we conducted with an implementation of the same. This CAPTCHA system is composed of multipart image reconstruction and orientation identification. Although, this is an intuitive task for humans, it is very hard to automate using a computer system. The main advantages of our system over traditional systems are native mobile look and feel, language/culture independent, and gesture-based interaction.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127482211","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

Individual power profile estimation of residential appliances using low frequency smart meter data 使用低频智能电表数据估算家用电器的个别功率分布

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399000

H. G. C. P. Dinesh, P. Perera, G. Godaliyadda, M. Ekanayake, J. B. Ekanayake

{"title":"Individual power profile estimation of residential appliances using low frequency smart meter data","authors":"H. G. C. P. Dinesh, P. Perera, G. Godaliyadda, M. Ekanayake, J. B. Ekanayake","doi":"10.1109/ICIINFS.2015.7399000","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7399000","url":null,"abstract":"We propose a new Non-Intrusive Load Monitoring (NILM) approach for appliances power profile/signal estimation at low sampling rate (1 s or greater). The proposed method relay on two main phases: identification of turned on appliance combination in a given time period and estimation of the active power consumption signal of each individual appliances in that combination. Unlike most existing NILM method that rely on multiple measurement at high sampling rates, appliances identification of this paper rely on a Karhunen Loéve (KL) expansion based spectral signature approach which only need active power measurements at a low sampling rate. Then the estimation of the power signal of the identified appliances is newly presented in this paper based on modified version of mean-shift clustering algorithm and Bayesian classification. The proposed method was validated by using two public databases: tracebase and REDD. The presented results demonstrate the ability of the proposed method to accurately estimate individual active power signal of turned on appliance combinations in real households.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116041387","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: 10

An effective Content Based Image Retrieval system based on global representation and multi-level searching 基于全局表示和多级搜索的有效的基于内容的图像检索系统

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399003

N. W. U. D. Chathurani, S. Geva, V. Chandran, V. Cynthujah

引用次数: 5

Drawbacks of current IVF incubators and novel minimal embryo stress incubator design 现有体外受精培养箱的缺陷与新型最小胚胎应力培养箱设计

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7398993

K. A. S. Pramuditha, Harini Hapuarachchi, N. Nanayakkara, P. Sēnānāyaka, Anjula C. De Silva

引用次数: 1

An approach to monitor land cover changes with time series MODIS data over Hot spot region 热点地区MODIS时间序列土地覆盖变化监测方法研究

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399024

Tasneem Ahmed, Dharmendra Singh, Shweta Gupta, B. Raman

{"title":"An approach to monitor land cover changes with time series MODIS data over Hot spot region","authors":"Tasneem Ahmed, Dharmendra Singh, Shweta Gupta, B. Raman","doi":"10.1109/ICIINFS.2015.7399024","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7399024","url":null,"abstract":"Harmonic analysis is used to map the periodic change variations, and it may provide the stability in the periodic changes about the specific changes at a particular time, which are occurring in Hot spot and non-hot spot regions. Constitutional sinusoidal term provides the amplitude and phase information, which are presented by the unique value. Amplitude values indicate the unimodal and bimodal changes in the time series data. The development of a monitoring procedure at regional level is still a challenging task, as it requires satellite images that have an adequate spatial resolution, high temporal resolution, wide geographical coverage and minimum cost. In this paper, Harmonic or Fourier analysis on 6-year (2007 to 2012) time series of MODIS (Moderate-Resolution Imaging Spectroradiometer) 8-day best composite images of land surface reflectance and surface temperature have been used to observe the periodic changes in greenness and land temperature over the Jharia Coal Field (JCF) region, India. Also, a comparative study has been done by using the first and second harmonic amplitude and additive term (averaged NDVI image) images to generate the RGB color composite images to interpret the winter and summer time periodic temporal changes.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121969385","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

Conditional Random Fields based Named Entity Recognition for Sinhala 基于条件随机场的僧伽罗语命名实体识别

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399028

K. Senevirathne, N. Attanayake, A. W. M. H. Dhananjanie, W. A. S. U. Weragoda, A. Nugaliyadde, S. Thelijjagoda

{"title":"Conditional Random Fields based Named Entity Recognition for Sinhala","authors":"K. Senevirathne, N. Attanayake, A. W. M. H. Dhananjanie, W. A. S. U. Weragoda, A. Nugaliyadde, S. Thelijjagoda","doi":"10.1109/ICIINFS.2015.7399028","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7399028","url":null,"abstract":"Named Entity Recognition (NER) plays an important role in Natural Language Processing (NLP). Named Entities (NEs) are special atomic elements in natural languages belonging to predefined categories such as persons, organizations, locations, expressions of times, quantities, monetary values and percentages etc. These are referring to specific things and not listed in grammar or lexicons. NER is the task of identifying such NEs. This is a task entwined with number of challenges. Entities may be difficult to find at first, and once found, difficult to classify. For instance, locations and person names can be the same, and follow similar formatting. This becomes tough when it comes to South and South East Asian languages. That is mainly due to the nature of these languages. Even though Latin languages have accurate NER solutions those cannot be directly applied for Indic languages, because the features found in those languages are different from English. Therefore the research was based on producing a mathematical model which acts as the integral part of the Sinhala NER system. The researchers used Sinhala News corpus as the data set to train the Conditional Random Fields (CRFs) algorithm. 90% of the corpus was used in training the model, 10% is used in testing the resulted model. The research makes use of orthographic word-level features along with contextual information, which are helpful in predicting three different NE classes namely Persons, Locations and Organizations. The findings of the research were applied in developing the NE Annotator which identified NE classes from unstructured Sinhala text. The prominent contribution of this research for NER could benefit Sinhala NLP application developers and NLP related researchers in near future.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127921688","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: 10

Elevator group optimization in a smart building 智能建筑中的电梯群优化

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7398988

D. T. Bamunuarachchi, D. Ranasinghe

{"title":"Elevator group optimization in a smart building","authors":"D. T. Bamunuarachchi, D. Ranasinghe","doi":"10.1109/ICIINFS.2015.7398988","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7398988","url":null,"abstract":"Solving elevator group scheduling problem via the use of meta-heuristic optimization techniques is studied in this research. Majority of the current research has considered the service time as the measurement of elevator performance while the engineering culture is gradually trending towards the greener technology that weighs the lower energy consumption of elevator systems as a desirable feature for building designs. From service time optimization techniques of the existing body of research a technique based on a trip scheduling model and the branch and bound algorithm is independently replicated to study its capacity to produce competitive results. Then the optimization criterion is modified by adding an energy consumption measure of the elevator group. Several result sets over different dimensions of the problem space were recorded to evaluate this approach. It is shown that newly proposed technique can achieve better energy consumption measures in a range of configurations of the problem space with better or approximately equal service time performance. The overall energy consumption reduction is 20% in the generic scenario while the service time advantage is 13%. The stability of the algorithm is also shown for mid and high rise buildings.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128176947","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: 8

A robust expression negation algorithm for accurate face recognition for limited training data 一种针对有限训练数据的人脸准确识别鲁棒表情否定算法

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399042

G. Tharshini, H. G. C. P. Dinesh, G. Godaliyadda, Mevan Ekanayake

{"title":"A robust expression negation algorithm for accurate face recognition for limited training data","authors":"G. Tharshini, H. G. C. P. Dinesh, G. Godaliyadda, Mevan Ekanayake","doi":"10.1109/ICIINFS.2015.7399042","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7399042","url":null,"abstract":"Although important and effective contributions on face recognition under varying facial expressions have been reported up to date, most of the methods need multiple images of an individual stored in the database. However, this problem becomes more challenging when a limited number of training samples are available as is the case for expression invariant face identification for surveillance and security applications. This paper proposes a simple and effective method that can be integrated into any face and expression recognition system to improve the overall recognition accuracy even under limitation of training samples. In this approach, neutral component of the expressive image is estimated utilizing prior information obtained from different subjects under the same expression. Basically by analyzing the impact of a particular expression on a neutral face a nullification process is developed to convert the expressive image to a neutral face. In order to make it justifiable to utilize common expression information for different subjects, an alignment strategy is employed where for each expression a specific expression template is used, and the images are warped to their corresponding expression face template. After negating the facial expression from the expressive images, principal component analysis (PCA) is applied to reduce the dimension and cosine similarity matching is used for classification. The experimental results on Cohn-Kanade database exhibit the effectiveness of the proposed method even when there is a single training sample per class is available in the database.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129992483","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: 6