2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)最新文献_第9页

Grid synchronization of DC energy storage using Voltage Source Inverter with ZCD and PLL techniques 基于ZCD和锁相环技术的电压源逆变器实现直流储能电网同步

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399055

K. Konara, M. Kolhe, W. G. C. A. Sankalpa

引用次数: 12

Efficient Facial Expression Ecognition and classification system based on morphological processing of frontal face images 基于正面图像形态学处理的高效面部表情识别与分类系统

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399039

Advait Apte, Arshitha Basavaraj, K. NithinR.

{"title":"Efficient Facial Expression Ecognition and classification system based on morphological processing of frontal face images","authors":"Advait Apte, Arshitha Basavaraj, K. NithinR.","doi":"10.1109/ICIINFS.2015.7399039","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7399039","url":null,"abstract":"Facial expressions are one of the many non-verbal cues that aid communication among humans. It has wide ranging applications from Human-computer interactions in computer vision to behavioral sciences and clinical practice in Psychology. Although, for humans recognizing facial expressions comes effortlessly, it is not so at the machine-level. To achieve, effective and efficient recognition of these varied expressions like in our brain, at machine-level, still remains a challenge. In this paper, morphological operations, statistical formulas and image processing techniques have been used to come up with a more efficient Facial Expression Recognition algorithm, using any frontal posed image. The entire process of facial expression recognition is divided into four categories, that is, Face detection, Facial feature localization using morphological operations, facial feature extraction using statistical formulas and finally, facial feature classification using neural networks. Facial expressions have been classified into six categories that are: joy, neutral, anger, sad, surprise and disgust.","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":"131468163","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: 4

Voltage drop and unbalance compensation in long distance medium voltage distribution lines a feasibility study 远距离中压配电线路压降及不平衡补偿的可行性研究

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7398976

N. Wight, S. Alahakoon, P. Pledger

引用次数: 0

Review of developments in BLDC motor controllers along with study of four-quadrant operation and active Power Factor correction 回顾了无刷直流电机控制器的发展，以及四象限运行和有源功率因数校正的研究

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399009

V. DhaneeshKrishnanT., Samskriti, K. Vittal

引用次数: 3

Enhanced feature space clustering via spectral parameter weighting for fingerprinting based indoor localization 基于光谱参数加权的特征空间聚类增强指纹室内定位

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7398990

L.S.C. Perera, K.A.M.S.V. Amarakoon, W. Weerakoon, G. Godaliyadda, M. Ekanayake

{"title":"Enhanced feature space clustering via spectral parameter weighting for fingerprinting based indoor localization","authors":"L.S.C. Perera, K.A.M.S.V. Amarakoon, W. Weerakoon, G. Godaliyadda, M. Ekanayake","doi":"10.1109/ICIINFS.2015.7398990","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7398990","url":null,"abstract":"Fingerprinting based techniques have become a popular solution for indoor localization applications due to their robust performance compared to other approaches even in environments with non-line of sight and multipath conditions. Most of these techniques use Euclidean distance based algorithms such as k-nearest neighbors in the matching phase. This paper introduces a selective parameter weighting technique to enhance clustering conformity. The parameter weighting increases inter-cluster distance while reducing the intra-cluster distance, which in turn improves accuracy. This paper also extends this idea, to generate aggregated clusters that group existing clusters into umbrella clusters. This enables two phases of clustering. First an unknown location is matched to a region containing several grid points, after which the exact location is found within the region. Once the feature space is constructed as mentioned above, principal component analysis is used to reduce it to a set of uncorrelated radio maps which capture all the unique features inherent to each location. This work makes use of audible sound for the construction of radio maps and fingerprints. However, the concepts introduced here may easily be adapted for other types of fingerprinting such as Wi-Fi based fingerprinting etc.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"56 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":"125232433","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

3D signing avatar for Sinhala Sign language 3D签名头像僧伽罗手语

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399026

M. Punchimudiyanse, R. Meegama

{"title":"3D signing avatar for Sinhala Sign language","authors":"M. Punchimudiyanse, R. Meegama","doi":"10.1109/ICIINFS.2015.7399026","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7399026","url":null,"abstract":"A sign language possesses multi-posture and single posture signs that require animation of bones on demand in a 3D signing avatar. Fingerprinting is used for representing unknown words character by character. Ordering and sequencing of signs corresponding to the words/phrases of a natural language are the most essential features of animating a sign language. This paper presents a multi-facet 3D avatar and an animation system for Sinhala Sign language (SSL) which supports the definition and animation of sign gestures without video sequencing or motion capture hardware. The animation system animates upper body of the avatar and consists of 29 bones per arm. Speed and uniformity of the sign gesture animation is achieved by automatically calculating the intermediate and transitional sequences of arm movements of signs within a given number of frames, or with a user defined displacement value per bone. Avatar animation system also supports the definition of fingerprinting signs, with a user defined tag set corresponding to the alphabet of any given sign language. Presented prototype consists of 200 known signs and 40 fingerprinting signs of SSL defined in its sign database and having the capability of animating any sentence in Sinhala language in SSL.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"35 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":"132885139","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

Use of maximum demand principles for optimizing transformer design of a ship loader 应用最大需求原理优化船舶装载机变压器设计

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7398979

Sam Graham, S. Alahakoon

{"title":"Use of maximum demand principles for optimizing transformer design of a ship loader","authors":"Sam Graham, S. Alahakoon","doi":"10.1109/ICIINFS.2015.7398979","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7398979","url":null,"abstract":"To determine maximum demand currently and most widely used method in Australia is to simply follow Australian Standard guidelines and sum together the loads and find a suitable transformer rating. This practice is considered to have many flaws specifically from a construction and financial point of view and it is this lack of diversity, which this paper will be focusing on. Because of not giving due consideration for diversity, many transformers are largely oversized and as such can easily put strain on low budget contracts issued by clients as larger transformers not only cost more for the unit itself but will also increase structural support costs to adequately support the increased size and weight that the unit will have. The difficulty in attempting to create a more optimized transformer design is attributed to having to understand the ship loader operations at key intervals since maximum demand is the maximum load at certain time intervals. This paper outlines the process undertaken to lower the maximum design electrical load for the transformer of the ship loader. It also provides redesigned transformer specifications, which will be compared with specifications of similar designs carried out without considering diversity.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":" 37","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133020594","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

Unicode Sinhala and phonetic English bi-directional conversion for Sinhala speech recognizer Unicode僧伽罗语和语音英语双向转换的僧伽罗语语音识别器

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399027

M. Punchimudiyanse, R. Meegama

{"title":"Unicode Sinhala and phonetic English bi-directional conversion for Sinhala speech recognizer","authors":"M. Punchimudiyanse, R. Meegama","doi":"10.1109/ICIINFS.2015.7399027","DOIUrl":"https://doi.org/10.1109/ICIINFS.2015.7399027","url":null,"abstract":"An automated speech recognizer (ASR) having a large vocabulary is yet to be developed for the Sinhala language because of the time consumed in gathering the training data to build a language model. The dictionary and building the language model require non-English text, in our case, Sinhala Unicode, to be transcribed in phonetic English text. Unlike text to speech conversions which only require transcribing the non- English text to phonetic English text, an ASR needs correct reproduction of the original language text when the phonetic English text is produced as the output of the speech recognizer. In the present research, newspaper articles are used to gather a large set of sentences to build a language model having thousands of words for the Sphinx ASR. We present a decoder algorithm that produces phonetic English text from Sinhala Unicode text and an encoder algorithm that produces the correct reproduction of Unicode Sinhala text from phonetic English. For a near phonetic tag set for Sinhala alphabet, results indicate 100% accuracy for the decoder algorithm while for numberless text, accuracy of the encoder algorithm stands at 98.61% for distinct phonetic English words.","PeriodicalId":174378,"journal":{"name":"2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS)","volume":"12 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":"122670581","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

Optimising electric vehicle powertrain components for enhanced performance 优化电动汽车动力总成部件，提高性能

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399010

A. Jeevithan, M. Ahamed, M. Ekanayake, B. Samaranayake

引用次数: 0

High speed streaming data analysis of web generated log streams 高速流数据分析web生成的日志流

2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2015-12-01 DOI: 10.1109/ICIINFS.2015.7399047

Sonali Agarwal, Bakshi Rohit Prasad

引用次数: 19