{"title":"RLTS: Recommendation for local transportation system using Ambient Intelligence","authors":"M. Subramanyam, K. N. Ashwath Kumar","doi":"10.1109/ERECT.2015.7498989","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7498989","url":null,"abstract":"With the proliferation of advanced telecommunication technologies and mobile computing, the transportation system is also getting smarter. There has been a good amount of research work done in the past decade to enhance the user experience in transportation facilities, however the existing systems are found to be less emphasizing on the traveler's requirements. In order to align the traveler's requirements with the transportation services, a novel framework, based on Ambient Intelligence(AmI) is proposed in this paper. The system evaluates context of users in the transportation system and based on the situation it provides unique recommendations to the travelers discretely. The proposed system is evaluated on a micro-platform to testify its supportability in real-time mobile computing environment. The outcome of evaluation/test is found to provide realistic recommendations with faster processing capability on trusted handheld devices.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"15 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":"127180323","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":"Association rule mining based predicting breast cancer recurrence on SEER breast cancer data","authors":"D. Umesh, B. Ramachandra","doi":"10.1109/ERECT.2015.7499044","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499044","url":null,"abstract":"Breast cancer is the most well-known type of cancer in women in the developed nations including India. Breast cancer could recur anytime in the breast cancer survivors, however basically it returns in the initial three to five years after the treatment. In this paper we investigate the feasibility of utilizing an association rule mining for a clinical oncology doctor in expectation of breast cancer recurrence on SEER (Surveillance, Epidemiology, and End Results) dataset.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"2 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":"115220172","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":"Simulation and implementation of FPGA based hybrid asymmetric multilevel inverter","authors":"Y. Manjunatha, Anusha Malenahalli","doi":"10.1109/ERECT.2015.7499058","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499058","url":null,"abstract":"This work focuses on proposing a new structure for asymmetric multilevel inverter. In the proposed topology, a switched capacitor (SC) and conventional series inverter are combined and connected in cascade. The proposed multilevel inverter finds its application in photovoltaic inverters which has numerous advantages. Firstly, it converts power for AC requirements from comparatively low DC voltage sources and with lower number of switching devices. Second, with the removal of transformers normally used for stepping up the voltage of each inverter stage the weight, volume and size of the whole system is reduced as the proposed topology can double the input voltage without a transformer. Symmetrical step control method (SSCM) and fundamental switching frequency method (FSFM) are applied to this proposed topology to actuate the power electronic switches for effective control and monitoring of voltage levels generated at the output. The simulation is executed using MATLAB/SIMULINK software. It was found that FSFM modulation technique results in a lower value of Total Harmonic Distortion (THD). The switching strategy is implemented with an FPGA device for the experimental prototype. The simulation and experimental result of single-phase 25-level inverter is given to demonstrate the precise operation of the suggested topology.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","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":"133616035","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":"Design, modelling and control of bidirectional DC-DC converter (for EV)","authors":"J. Mane, A. M. Jain","doi":"10.1109/ERECT.2015.7499029","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499029","url":null,"abstract":"This paper explains modelling design and control of a bidirectional dc-dc converter for EV applications. The provision for energy regeneration is achieved by using half bridge non isolated dc-dc converter. Small signal modelling of the system is done by the state space averaging technique. A PI controller has been implemented for the speed control. The soft switching technique has also been incorporated to minimize the switching losses. The system model has been simulated in the MATLAB/SIMULINK.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"48 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":"124144672","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":"Machine learning approach for sensors validation and clustering","authors":"A. M. Nasser, V. Pawar","doi":"10.1109/ERECT.2015.7499043","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499043","url":null,"abstract":"Wireless sensor network (WSN) is very important these days. It is used frequently in many applications in the area such as health care, security, home and military. As the sensor nodes in the domain may change over the time due to number of factors such as environment condition, lifetime of the battery (low battery power) and coverage (area of interest), then a sensor network needs periodically to check the validation of sensor in the domain. So, as needed of the sensors validations in the domain have been shown in many WSN schemes. In this paper, the validation sensors in the domain using spectral clustering technique have been proposed that is detecting a bad sensor and deleting it from the domain. Sensors have been indexed by their location using simple model of spectral clustering. Results obtained from simulation indicate that our approach is enhanced network performance in terms of detecting the bad sensor location and replace it that is improved our wireless sensor network.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"53 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":"128376668","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":"Kannada Named Entity Recognition and Classification using conditional Random Fields","authors":"S. Amarappa, S. Sathyanarayana","doi":"10.1109/ERECT.2015.7499010","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499010","url":null,"abstract":"Named Entity Recognition and Classification is a process of identification of proper nouns in the text and classification of those nouns into certain predefined categories like person name, location, organization, date, time etc. Named Entity Recognition and Classification in Kannada is an essential and challenging task. The aim of this work is to develop a novel model for Kannada Named Entity Recognition and Classification, based on conditional Random Fields. The paper discusses the various issues in developing the proposed model. The details of implementation and performance evaluation are discussed. The experiments are conducted on a training corpus of size 95,127 tokens and test corpus of 5,000 tokens. It is observed that the model works with Precision, Recall and F1-measure of 85%, 85% and 82% respectively.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"120 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":"126055766","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":"Design and implementation of DA-based reconfigurable FIR digital filter on FPGA","authors":"N. Bhagyalakshmi, K. Rekha, K. Nataraj","doi":"10.1109/ERECT.2015.7499015","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499015","url":null,"abstract":"An efficient and optimized Distributed Arithmetic (DA)-based method for high-speed reconfigurable design and implementation of Finite Impulse Response (FIR) filters whose filter coefficients change during execution time is proposed in the paper. Normally, the Look up Tables (LUTs) is required to be implemented in RAM for DA-based implementation of reconfigurable FIR Filter. A Dual Port Distributed RAM-based design is proposed for the FPGA implementation of the reconfigurable FIR filter which supports upto high sampling frequency in terms of MHz. In this paper we are designing reconfigurable DA-Based FIR digital Filter and implemented on SPARTAN3 FPGA by using Xilinx ISE and simulated in ModelSim 6.3f.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"126 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":"116129855","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":"Secure data aggregation with fault tolerance for Wireless Sensor Networks","authors":"H. Annapurna, M. Siddappa","doi":"10.1109/ERECT.2015.7498982","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7498982","url":null,"abstract":"The reliability of Wireless Sensor Networks (WSNs) is affected by faults that may occur due to various reasons such as communication link failure, malfunctioning hardware, software glitches, dislocation or environmental hazards. A WSN that is not prepared to deal with such situations may suffer from a reduction in network lifetime or lead to hazardous consequences in critical application contexts. One of the major fault recovery techniques is the exploitation of redundancy, which is often a default condition in WSNs. In this paper, we propose a scheme called Secure Data Aggregation with Fault Tolerance for Wireless Sensor Networks which provides both end to end confidentiality and fault tolerance during data aggregation. Here, we propose to use shared cryptography to secure message communication in a sensor network. In this approach we divide the information into multiple shares and transmit the different shares via multiple disjoint paths between any pair of communicating nodes. At the receiving end the original information is reconstructed by combining the shares received via different paths. We have also proposed to keep redundancy in the number of shares to withstand loss of some shares due to message loss during transmission. So proposed scheme works correctly in the event of communication link failure.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"423 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":"121704903","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":"Carbon nanotube based Surface Acoustic Wave gas sensor for condition monitoring of gas insulated switchgear systems","authors":"S. Umesh, K. Suma, T. Balachandra, A. Usha","doi":"10.1109/ERECT.2015.7499051","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499051","url":null,"abstract":"Sulfur hexafluoride (SF6) is the most common gas insulation medium used in a gas insulated switchgear (GIS) system. Though SF6 is a very good insulator, it is also a potential greenhouse gas having a global warming potential of 22 800 over a period of 100 years. Therefore its leakage to the environment should be strictly monitored. And also partial discharge or arcing in the SF6 filled switchgear chambers can reduce the life and quality of insulation and few of the constituent gases during partial discharge are toxic in nature. The early detection of partial discharge is necessary to prevent the quality degradation and failure of the system. Hence it becomes very essential to monitor the leakage and partial discharge detection regularly in a GIS. In this work, a simulation study has been carried out to detect SF6 leakage using carbon nanotube based MEMS/NEMS sensor which detects target gases at room temperature.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"438 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":"124949471","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":"Hyperspectral imaging technique for plant leaf identification","authors":"M. Kishore, S. B. Kulkarni","doi":"10.1109/ERECT.2015.7499014","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499014","url":null,"abstract":"Hyperspectral imaging is the procedure to gather and handle information across the electromagnetic spectrum. The fundamental objective of hyperspectral imaging is to achieve the spectrum for every pixel in the picture. The spectrum helps in computer vision, i.e., locating items, material detection or process discovery. This approach is constantly developing in the field of remote sensing applications. The wide spectrum range, offers a high spectral resolution, thus permitting the detection and understanding of the exterior and material components of the viewed image. Numerous elements, for example, defective imaging optics, climatic disturbances, optical brightening impacts and sensor noise cause the corruption of the procured image quality, making spatial determination amongst the costliest and hardest to improve in imaging frameworks. Blended pixels, i.e., pixels containing a blend of diverse materials, are normal in hyperspectral pictures due to such a requirement. In this work, we propose the use of the rich spectral data of hyperspectral images to resolve classification issues.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"168 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131485247","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}