Vishnudas Raveendran, Mary C. Pauly, Nicky Paul, S. Priya, Raisa Varghese
{"title":"An approach to file manager design for speech interfaces","authors":"Vishnudas Raveendran, Mary C. Pauly, Nicky Paul, S. Priya, Raisa Varghese","doi":"10.1109/ICCTAC.2016.7567335","DOIUrl":"https://doi.org/10.1109/ICCTAC.2016.7567335","url":null,"abstract":"This paper presents an approach to designing a file manager for speech interfaces. Speech interfaces are those which primarily use speech recognition and synthesis for interacting with the user for input and output. The present system used in various graphical user interface (GUI) operating systems for file managers is based on the 'What you see is what you get' model providing a 'point and click' approach to support a hierarchical folder structure. While the 'point and click' is suitable for GUI, it becomes inefficient for speech interfaces. The speech interfaces implemented currently in systems like Microsoft speech recognition navigate through hierarchical file structure, having to navigate sequentially through various sub-folders and necessitates the need for a display to view the folders and files in the directory being traversed. In our approach the user is freed from the responsibility of traversing through the folders and provides a method to retrieve files based on the various file attributes and relevance. The paper focus on the design and architecture of the file manager. The paper also analysis the results based on the usability survey of the system and presents a comparison with existing file managers. The advantage of using this system is that it is designed specifically for speech interfaces and allows the user to use the system with minimal or no displays.","PeriodicalId":367688,"journal":{"name":"2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525092","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}
Sandeep Patil, Shreya Gudasalamani, N. Iyer, Vishwanath G. Garagad
{"title":"Tilt and scale invariant iris recognition system","authors":"Sandeep Patil, Shreya Gudasalamani, N. Iyer, Vishwanath G. Garagad","doi":"10.1109/ICCTAC.2016.7567342","DOIUrl":"https://doi.org/10.1109/ICCTAC.2016.7567342","url":null,"abstract":"Iris recognition system is the secure authentication tool to control access to physical assets based on iris texture. It is the most reliable biometric system because of its uniqueness and stability over time, even the genetically identical twins have different Iris textures. This paper presents a system that is immune to tilt and scale variations. The iris region of interest is segmented based on selective cropping. Scale variation is compensated during normalization by fixing the pupil radius. A novel technique has been proposed to compensate for tilt variations. Template matching is performed by bit to bit comparisons.","PeriodicalId":367688,"journal":{"name":"2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115521180","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}
{"title":"Survey study on the methods of bird vocalization classification","authors":"Simna Rassak, M. Nachamai, M. A. Krishna","doi":"10.1109/ICCTAC.2016.7567337","DOIUrl":"https://doi.org/10.1109/ICCTAC.2016.7567337","url":null,"abstract":"The technologies holds the ability to change the world. Current digital era is a product of the evolutionary technologies. It created the necessity to increase the Human Computer Interaction (HCI) and it became one of the most emerging research areas of the decade. HCI is an interface between the users and the system to improve the interaction. HCI concept came into existence in early 1980's. One of the emerging new research area in HCI is Context Aware System (CAS). The technological advancements in HCI created a new outlook in the research of CAS. CAS is a system which understand the user, their surroundings, and location. CAS make this possible by processing the environmental and bio-acoustic. Sound is one of the important media for both humans and animals to communicate and understand information. Bird sound, vehicle sound, wind sound etc. are some of the environmental and bio acoustics. Processing these sounds or signals will help us to create a better performing CAS. This paper profiles a survey study on bird sound classification and identification. Automatic identification of bird sound is one among the difficult task in signal processing. Also, the paper will profile the previous research works on various phases in bird vocalization processing; such as preprocessing, feature selection and classification.","PeriodicalId":367688,"journal":{"name":"2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728791","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}
{"title":"Boundary tracing technique for convex and concave curves","authors":"Prachi H. Kulkarni, Pratik D. Kute, P. P. Rege","doi":"10.1109/ICCTAC.2016.7567334","DOIUrl":"https://doi.org/10.1109/ICCTAC.2016.7567334","url":null,"abstract":"The proposed algorithm is designed to detect the boundary of a region which can be identified by some characteristic feature at a general level, but heterogeneity within the region itself prevents the use of standard gradient techniques. The general principle of the algorithm is based on inner boundary tracing and involves three techniques- Technique of Tracing, Technique for Convex Turns and Technique for Concave Turns. The algorithm gives good results for regions of any regular or irregular shape irrespective of whether it is convex or concave or combination of both. It also gives good results for blurred images and for images affected by noise. The utility of the algorithm lies in its simplicity, making it computationally efficient.","PeriodicalId":367688,"journal":{"name":"2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128905706","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}
{"title":"Study of color space transformation techniques for converting spectrographs to spectrograms","authors":"K. Shailesh, C. P. Kurian, S. Kini","doi":"10.1109/ICCTAC.2016.7567343","DOIUrl":"https://doi.org/10.1109/ICCTAC.2016.7567343","url":null,"abstract":"Spectrometers measure optical power as a function of wavelength. Optical spectrum analysis is very important part of optical spectroscopy applications. The work documented in this paper gives a working knowledge of converting spectrographs to spectrograms using color space transformation techniques. In this work it is demonstrated that how a webcam spectrometer can be used to measure spectral composition of light sources. The method for mapping the RGB triplets in the spectral image of the light source captured by the webcam spectrometer to the visible wavelength spectrum is illustrated. The test results showed that spectrograms of the test light sources were in close agreement with the respective theoretical references. This method can adopted to calibrate the webcam spectrometer and the need for a standard source during calibration can be omitted.","PeriodicalId":367688,"journal":{"name":"2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129119841","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}