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Int. J. Intell. Syst. Technol. Appl.最新文献

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Visual substitution system for room labels identification based on text detection and recognition 基于文本检测与识别的房间标签识别视觉替代系统
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2018-05-09 DOI: 10.1504/IJISTA.2018.10012894
Hanen Jabnoun, F. Benzarti, F. Morain-Nicolier, H. Amiri
{"title":"Visual substitution system for room labels identification based on text detection and recognition","authors":"Hanen Jabnoun, F. Benzarti, F. Morain-Nicolier, H. Amiri","doi":"10.1504/IJISTA.2018.10012894","DOIUrl":"https://doi.org/10.1504/IJISTA.2018.10012894","url":null,"abstract":"Vision is an essential human sense which is playing the most important role in human perception about surrounding environment. However such information is generally inaccessible for blind people. In order to enable these persons to overcome such incapability, we propose a system for identifying the neighbouring scene. In fact, the environment is labelled as a first step and then we present a personalised and adaptive method for labels detection and recognition. The automatic analysis involves the detection of personalised markers employed to extract the region of interest followed by the perspectives rectification based on homography estimation. We use the stroke width transform (SWT) to extract the text from the detected label and crop it into words and letters. The extracted text is identified using images correlation. Finally, as a substitution for visual modality, a vocal transformation of the recognised text is performed.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131096855","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 new method for the optical flow estimation and segmentation of moving objects 'NMES' 一种运动物体NMES光流估计与分割的新方法
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2018-05-09 DOI: 10.1504/IJISTA.2018.10012893
Amina Ourchani, Z. Baarir, A. Taleb-Ahmed
{"title":"A new method for the optical flow estimation and segmentation of moving objects 'NMES'","authors":"Amina Ourchani, Z. Baarir, A. Taleb-Ahmed","doi":"10.1504/IJISTA.2018.10012893","DOIUrl":"https://doi.org/10.1504/IJISTA.2018.10012893","url":null,"abstract":"Segmentation of moving objects in video sequence is essential task in computer vision. This paper focuses on developing a new method for discriminate moving objects from a static background, focusing on the combination of motion, colour and texture features. First, we have used block-matching for computing the optical flow, we also have taken in consideration the result of frame difference, to improve the quality of the optical flow. Moreover, we have used the k-means clustering algorithm owing to group the pixels, having similar features. Second, the result of the grouping pixels is used as an input in Chan-Vese model, in order to attract the evolving contour of moving objects contours. To evaluate the performance of our proposed method, we experiment it on challenging sequences. It has shown that our method provides an improved segmentation results.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121194639","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
Grammar rule-based sentiment categorisation model for classification of Tamil tweets 基于语法规则的泰米尔文情感分类模型
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2018-05-09 DOI: 10.1504/IJISTA.2018.10012884
N. Ravishankar, R. Shriram
{"title":"Grammar rule-based sentiment categorisation model for classification of Tamil tweets","authors":"N. Ravishankar, R. Shriram","doi":"10.1504/IJISTA.2018.10012884","DOIUrl":"https://doi.org/10.1504/IJISTA.2018.10012884","url":null,"abstract":"The advent of social media has enabled people to easily and publicly express their ideas on a movie/product in such a way that it reaches millions of people within no time. This research aims to implement a tool that would be helpful in predicting the genre of the movies as perceived by the audience through linguistic rules and natural language processing (NLP) tool kit. This paper focuses on development of rule-based sentiment categorising tool for Tamil tweets and a tool has been developed using Python and NLP tool kit. Furthermore, a model is designed to determine the opinion along with genre classification of Tamil movies. For this work, a set of genres are selected from Tamil movies with public tweets based on sentiment analysis. We find that the tool classifies the genre of a particular movie provided by user tweets and validated our approach with domain experts and baseline models.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127044832","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: 9
A comprehensive solution for risk management in software development projects 软件开发项目中风险管理的综合解决方案
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2018-05-09 DOI: 10.1504/IJISTA.2018.10012891
Raghavi K. Bhujang, V. Suma
{"title":"A comprehensive solution for risk management in software development projects","authors":"Raghavi K. Bhujang, V. Suma","doi":"10.1504/IJISTA.2018.10012891","DOIUrl":"https://doi.org/10.1504/IJISTA.2018.10012891","url":null,"abstract":"Risk management is a never ending process in the life cycle of a software project. For efficient risk management, it is necessary to have deep understanding of risk, its types, mitigation strategies so that either the risk is avoidable in future or the impact of the same can be brought down. This paper essentially deals with comprehensive understanding of risk from different perspectives and offers a solution-research methodology for efficient risk management. Risk is prioritised based on the impact that is measured with the help of essential parameters that are inevitable to complete the development cycle of the project. Authors have proposed enhanced risk analysis (ERA) approach to identify measure and calculate the occurrence of risk which can get prioritised. Based on the priority, solution is applied either to mitigate or to bring down the impact of these risks leaning towards the successful completion of the software development project on time.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116215443","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
Reactive frequency band-based real-time motor imagery classification 基于反应频带的实时运动图像分类
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2018-05-09 DOI: 10.1504/IJISTA.2018.10012890
Sumanta Bhattacharyya, M. Mukul
{"title":"Reactive frequency band-based real-time motor imagery classification","authors":"Sumanta Bhattacharyya, M. Mukul","doi":"10.1504/IJISTA.2018.10012890","DOIUrl":"https://doi.org/10.1504/IJISTA.2018.10012890","url":null,"abstract":"The requirement of an effective online processing algorithm becomes very vital to fulfilling the demand of the low-cost brain–computer interface (BCI) system. The authors proposed a very first and robust unsupervised machine learning algorithm, for the real-time classification of movement imagination. The reactive frequency band (RFB) of the individual subject has been identified through the dominant frequency detection algorithm over the training dataset. Based on the identified RFB, the feature extraction process has been applied to the testing dataset. The estimated 'feature' further classified as per probabilistic Bayesian classifier. The effectiveness of the proposed RFB detection method of electroencephalogram (EEG) signal is validated by self-generated artificial sine wave signal, single subject and nine subject movement imagery (MI) BCI competition dataset. The proposed method of EEG signal processing outperformed the conventional wavelet-based BCI competition II results and the wavelet-based algorithm applied over the BCI competition IV dataset.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124624534","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
Improvement of power quality in microgrids using predictive controller 利用预测控制器改善微电网电能质量
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2018-05-09 DOI: 10.1504/IJISTA.2018.10012888
P. Prabhakar, H. Vennila
{"title":"Improvement of power quality in microgrids using predictive controller","authors":"P. Prabhakar, H. Vennila","doi":"10.1504/IJISTA.2018.10012888","DOIUrl":"https://doi.org/10.1504/IJISTA.2018.10012888","url":null,"abstract":"Microgrid is a low voltage grid which is subjected to disturbances. The distributed energy resources are connected to the LV bus by means of power electronic converters. The power quality issues are analysed with model predictive control (MPC) algorithm in both – grid connected and islanded modes. But the islanded mode is analysed separately. A new model is suggested for the islanded mode with non- linear loads. Predictive control based distribution static compensator (DSTATCOM) injects voltages at the point of common coupling (PCC) in the microgrid. Reactive power compensation and mitigation of harmonics are done with the help of new proposed model. The principles and the proposed algorithm are verified by Matlab/Simulink simulation. Simulation results suggest that this control method can decrease the power quality issues and increase the microgrid stability.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133206326","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
Enhanced portable text to speech converter for visually impaired 增强便携式文本到语音转换器为视障人士
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2018-05-09 DOI: 10.1504/IJISTA.2018.10012881
C. Selvaraj, N. Bhalaji
{"title":"Enhanced portable text to speech converter for visually impaired","authors":"C. Selvaraj, N. Bhalaji","doi":"10.1504/IJISTA.2018.10012881","DOIUrl":"https://doi.org/10.1504/IJISTA.2018.10012881","url":null,"abstract":"The handwritten text reader is designed to help the visually impaired listen to an audio read-back of printed and handwritten scanned text. A hand-held page scanner is used to scan the text to be read. The image from the scanner is sent to the application in the paired Android phone over Bluetooth. An open source optical character recognition (OCR) engine, Tesseract is used to extract the text from the image, and this extracted text is converted to speech. Tesseract OCR engine is further trained to recognise handwritten text for a specific user. This OCR engine is trained with handwritten datasets. In addition to English, the application supports two regional languages - Hindi and Bengali.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127884390","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 fuzzy-based approach for bug report categorisation 基于模糊的bug报告分类方法
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2017-11-21 DOI: 10.1504/IJISTA.2017.10008860
Indu Chawla, S. Singh
{"title":"A fuzzy-based approach for bug report categorisation","authors":"Indu Chawla, S. Singh","doi":"10.1504/IJISTA.2017.10008860","DOIUrl":"https://doi.org/10.1504/IJISTA.2017.10008860","url":null,"abstract":"Various studies conducted on bug repositories utilise issue reports labelled as 'bug'. Research conducted on a number of bug repositories have shown that not all issue reports labelled as 'bug' are actually bugs but can also be a request for additional feature, improvement or documentation. This not only threatens the validity of studies that have used mislabelled data but may also give wrong prediction results in future. This has necessitated need for correct labelling of issue reports. The proposed work using fuzzy logic classifier suggests improvement and also reduces the complexity. Validation of this work is done using five open source projects. Experimental results have shown that our approach gives better F-measure scores. The study also elaborated on use of issue reports from other similar projects for training a model; the impact of frequent terms from the training data and applicability of our approach to fine grained categorisation of issues.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115287928","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
Recognition of benzene structure from handwritten chemical expression with radial basis function neural network and rule-based approach 基于径向基函数神经网络和规则的手写体化学表达式中苯结构的识别
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2017-11-21 DOI: 10.1504/IJISTA.2017.10008849
S. Mapari, A. Dani
{"title":"Recognition of benzene structure from handwritten chemical expression with radial basis function neural network and rule-based approach","authors":"S. Mapari, A. Dani","doi":"10.1504/IJISTA.2017.10008849","DOIUrl":"https://doi.org/10.1504/IJISTA.2017.10008849","url":null,"abstract":"The chemical symbols and structures are basic building blocks of chemical expressions and reactions. Benzene symbol is widely used in aromatic chemical reactions. In this paper, we attempt to build a system which can recognise a benzene symbol from the handwritten chemical expressions, reactions or statements (HCERS). In this work a classifier has been developed. It identifies the parts of an image, which can possibly represent a benzene symbol from HCERS. On the next stage, i.e., recognition, the correct benzene structure is recognised from the identified parts of images. Two approaches, first rule based and second radial basis function neural network (RBFNN) based, have been proposed for the classifier. The scanned image of the handwritten chemical reaction, expressions or statements is input to our system. The output shows the presence of valid benzene ring structure or otherwise in the scanned image.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129519085","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
A novel mobile application for circuit component identification and recognition through machine learning and image processing techniques 通过机器学习和图像处理技术进行电路元件识别和识别的新颖移动应用程序
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2017-11-21 DOI: 10.1504/IJISTA.2017.10008857
S. K. Vasudevan, K. Venkatachalam, R. Sundaram
{"title":"A novel mobile application for circuit component identification and recognition through machine learning and image processing techniques","authors":"S. K. Vasudevan, K. Venkatachalam, R. Sundaram","doi":"10.1504/IJISTA.2017.10008857","DOIUrl":"https://doi.org/10.1504/IJISTA.2017.10008857","url":null,"abstract":"Building an electronic product is complex and needs many steps, guidelines to be followed. From initial phase, till testing the product complexities are numerous. Most of the time in building a product is spent towards simulating the design to check if the proposed design is successful. People with expertise in using simulators only are deployed for this purpose. Although simulation and coding skills are secondary which may not contribute to the core value in the product, it is forced that everyone should learn them. To avoid this, we have come up with an innovative solution through an application in mobile phone that involves machine learning and image processing. Our proposed application enables the user to draw the circuit which he wishes to, once drawn with freehand, the circuit would be recognised and segregation happens where wires and components are split appropriately. Then, each component will be identified through the machine learning algorithms and netlist will be generated, all in seconds with high accuracy.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121424264","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
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