Eliyaz Mahammad, Madhu Nakirekanti, G. Bhaskar Phani Ram
{"title":"Wearable Computing Device with Gestural Augmentation using LabVIEW","authors":"Eliyaz Mahammad, Madhu Nakirekanti, G. Bhaskar Phani Ram","doi":"10.1109/ICSCAN.2018.8541213","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541213","url":null,"abstract":"Our motivation is from the analysis of Mr. Steve Mann on computational imaging and wearable computing, that brings out sixth sense technology. Wearable computing is the start of, developing, designing, or using very small wearables and sensor devices. This device lets us to move with the data by simple hand gestures. The recognition of gestures are the basic idea behind this device. The main aim of our project is to bring digital and natural worlds nearer, virtually together. Our project work uses a camera which captures the gestures, process it using RT processor (myRIO) by using LabVIEW software and makes the desired action to be done. The application of our device includesi. Gestural camera that permits us for taking images by framing the finger gestures.ii. The data can be copied from physical world, like a paragraph on a printed paper with hand gesture and paste them on a digital device, i.e., gesture based pick from a real paper and drop on a digital computer screen, rather than typing.iii. Replacement of Physical keyboard by printed paper.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114991585","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":"Performance of OSTBC5 through three different channels using zero forcing equalizer in MIMO system","authors":"G. Kaur, Navjot Kaur, Lavish Kansal","doi":"10.1109/ICSCAN.2018.8541224","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541224","url":null,"abstract":"OSTBC stands for orthogonal space time block coding. It gives more advantages then space time coding. OSTBC4 already use with limited number of receiving antenna but in this paper we use 5 receiving antennas to find the performance of the large MIMO. OSTBC perform function for more than 2 antennas. The OSTBC use linear STBC. All signals orthogonal to each other. The orthoganality empowers us to accomplish full transmit differing qualities according to furthermore; in the meantime, it permits a basic ML deciphering. Precoded OSTBC has a higher unraveling many-sided quality and a lower coding and other two codes, since in the precoded OSTBC the data images should be together planned and decoded. The OSTBC Encoder piece encodes the data images from the PSK Modulator by utilizing either the Alamouti code for two transmit reception apparatuses or other summed up complex orthogonal codes for three or four transmit radio wires. OSTBC perform the analysis between the BER vs SNR through three channels with zero forcing decoder. The OSTBC has best performance related to signal to noise ratio than STBC.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123396057","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}
G. Shanmugasundaram, Dr. C. PunithaDevi, S. Balaji, T. Mugilan
{"title":"STATIC OBSTACLE DETECTION FOR SECURITY IN SURVEILLANCE","authors":"G. Shanmugasundaram, Dr. C. PunithaDevi, S. Balaji, T. Mugilan","doi":"10.1109/ICSCAN.2018.8541221","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541221","url":null,"abstract":"In recent times, we hear a lot of unexpected incidents happening in crowded places carried out by explosives hidden inside abandoned baggage or left behind items especially in India like country. Even though security cameras are placed, which monitors and raise alarms at the right time is still a manual activity that leads to mistakes and delayed detection. With the advancement in surveillance camera electronics and image processing algorithms such as Haar cascade classifier algorithm, Support Vector Machine (SVM), etc., and images can be detected using Deep learning object detection ,Feature- based object detection where it is possible to automate such detection. The objective of this article is to explore a various factors and its importance in object detection. Further it also explores about the existing techniques and models used in detection of objects. This article concludes with various challenges in object detection which are not yetaddressed.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122855250","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}
A. Venkadesan, S. Himavathi, A. Muthuramalingam, K. Sedhuraman
{"title":"ANN based Flux Estimator for Rotor Resistance Estimation in Vector Controlled IM Drives","authors":"A. Venkadesan, S. Himavathi, A. Muthuramalingam, K. Sedhuraman","doi":"10.1109/ICSCAN.2018.8541240","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541240","url":null,"abstract":"In this paper, artificial neural network (ANN) is proposed to estimate d and q-axis rotor fluxes for rotor resistance estimation. Accurate value of rotor resistance is essential for good performance of vector controlled IM drive. The rotor resistance can be estimated from state synthesis equations. The state synthesis equations (SSE) demand the need of flux components. Conventional Voltage model (VM) used for flux computation fails due to low speed problems. Hence, ANN is proposed for flux computation. The proposed ANN based flux estimator is shown to perform well for various test conditions for rotor resistance estimation and overcome the low problems.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122961143","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}
Md. Sultan Mahmud, C. G. Jothi Prakash, Md. Wazedur Rahman, P. Ravindran
{"title":"Heat Flux Enhancement in Microstructure System","authors":"Md. Sultan Mahmud, C. G. Jothi Prakash, Md. Wazedur Rahman, P. Ravindran","doi":"10.1109/ICSCAN.2018.8541193","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541193","url":null,"abstract":"Pool boiling heat transfer mechanism is a general phenomenon for understanding the heat flux enhancement. In this case, micro/nano surface modification over the plain surface play vital role for enhancement of heat flux. Diversity of micro/nanostructures has been built on plain surfaces, which have guided to improvement in the heat transfer. Particularly, Development of nanowires, nanotubes and micro/nanoparticles deposition; regular micro/nano-geometries (pillars, fins, and microchannels) have already done. Modified surface affects the heat flux which can be classified into two groups: surface topography and the number density. Microstructure or nanostructure modified surface influences the surface wettability which has a significant role in enhancing heat transfer. In this work, the significance of surface modification with micro-structures in heat transfer enhancement has been studied. Two types of metal-metal oxides were selected such as Ti-TiO2 and Al-Al2O3 for designing geometry. Constant Heat Flux and HTC were applied and the change in surface temperature has been determined. Primarily, Ti metal plain surface showed 30.4 °C as well as Al metal plain surface showed 29.9 °C which is lower than Ti plain surface. Moreover, microstructure surface modification with varying height showed better result. Ti-TiO2 showed 28.9 °C as well as Al-Al2O3 showed 28.9 °C for 19 by 19 matrixes which is comparatively lower than plain metal surface. Hence, micro modified surface with increasing microstructure density as well the aspect ratio of those structures tends to alter the heat transfer behavior. Maximum heat flux observed 31 W/cm2 by Ti–TiO2 and Al -Al2O3 by 35 W/cm2. For both cases, enhancing surface area enhance the heat flux. On the other hand, increasing the wall superheat influence the heat flux enhancement.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122992466","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":"Multiple Mobile Sink Architecture Based Energy Efficient Routing Protocol for Underwater Wireless Sensor Networks","authors":"S. Anandalatchoumy, G. Sivaradje","doi":"10.1109/ICSCAN.2018.8541181","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541181","url":null,"abstract":"For the energy resource constrained Underwater Wireless Sensor Networks (UWSNs), designing a routing protocol needs to consider an effective approach that is able to make an intelligent utilization of energy thereby prolonging network life time. For prolonged network life time, energy consumption as well as load balancing are important. Incorporation of sink mobility into sensor networks can deal with this issue for it not only preserves energy of the nodes but also balances the energy consumption among the nodes. In this paper, a novel protocol called multiple mobile sink architecture based energy efficient routing protocol (MSEERP) for UWSNs is proposed. Multiple mobile sinks are employed to collect the data directly from sensor nodes and address the problem of communication void as well. The effectiveness of the proposed technique is assessed by extensive simulations and the results obtained are compared with the existing routing protocol named GEDAR. It is inferred from the simulation results that it outperforms in terms of packet delivery ratio, energy consumption and network life time.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129876918","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}
Khan Arshad Naushad Ahmed, K. C. Obula Reddy, P. Bhakre
{"title":"Fuzzy Based Active Filter For Power Quality Mitigation","authors":"Khan Arshad Naushad Ahmed, K. C. Obula Reddy, P. Bhakre","doi":"10.1109/ICSCAN.2018.8541247","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541247","url":null,"abstract":"Active filters are widely used in electrical distribution system for reactive power compensation and voltage / current harmonic elimination. In this paper, a fuzzy logic controlled, three-phase shunt active filter to improve power quality by compensating reactive power and current harmonics required by a nonlinear load is presented. PI regulator is replaced by fuzzy logic controller to improve the dynamic performance of shunt active filter under varying load conditions. The advantage of fuzzy control is that it is based on defined linguistic rules and does not require any mathematical model of the system unlike the other traditional controller. The compensation process is based on source current sensing only, an approach different from conventional methods. The performance of fuzzy logic controller is compared with PI controller under dynamic load conditions. Simulated studies show that fuzzy controller is found suitable for steady state and transient conditions of load.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114305632","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 of High-Speed and Energy-Efficient Parallel Prefix Kogge Stone Adder","authors":"U. Penchalaiah, S. Vg","doi":"10.1109/ICSCAN.2018.8541143","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541143","url":null,"abstract":"In the recent decades, the demand of mobile electronic devices is exponentially increased which creates a urge to design highly effective VLSI structures. The operations in the devices necessitate to be computed by low-power, area-efficient designs which operates at higher speed. Addition is the commonly used arithmetic operation; and adder is the basic arithmetic element of the processor. Presently, Carry Skip adder (CSKA) is found to be an effective adder which is compact and consumes less power. But, the lower speed of CSKA became a major drawback and it fails to employ in high-speed applications. To overcome the limitations of CSKA, a faster and efficient Parallel Prefix Adder (PPA) is introduced, which is developed from the carry look ahead adders. In this paper, we design and develop a new PPA architecture namely Kogge Stone adder (KSA) for 8, 16, 32 and 64-bit addition. The proposed method is implemented and the results are compared with CSKA interms of area, delay, speed and power consumption. Simulations results on Kogge Stone adders (KSA) reveal minimization of power consumption compared with the CSKA along with area compaction and high speed.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128038785","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":"KFCM Algorithm for Effective Brain Stroke Detection through SVM Classifier","authors":"V. Vijayalakshmi, Melingi Sunil Babu, R. Lakshmi","doi":"10.1109/ICSCAN.2018.8541179","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541179","url":null,"abstract":"Ischemic stroke is stated as a loss of neurological brain function due to the sudden loss of blood circulation in the particular area of the brain. Analysis of ischemic strokes is further complicated by the fact that damage often crosses into multiple regions of the brain. MRI image analysis is done by the Neurologist to detect the lesion tissue in the brain image. The technique of manual labeling of ischemic stroke lesion turns out to be time-intensive making an automated method desirable. In the existing work, Segmentation of the Ischemic Stroke image was done by Otsu technique and integrated with SVM classifier. From the results it was inferred that the Accuracy of the technique is 88%, Specificity is of about 66%, and Sensitivity value is 94%.In order to obtain better accuracy in segmentation and for precise detection of the stroke, Kernelized fuzzy C-means clustering with adaptive threshold algorithm has been implemented. The algorithm identifies the distance and intensity of the lesion tissue. The accuracy and segmentation results of the Classifier is measured in the testing and training phase by comparing the similarity and diversity of sample sets by considering different sequences which are analyzed using MATLAB version 7.4.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133943111","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":"Enhanced Energy Efficient Routing Protocol (EEERP) for lifespan optimization in WSNs","authors":"Nandini Reddy Vanteru, Chandana Bhavani Yerrabathini, Bksp Kumar Raju Alluri","doi":"10.1109/ICSCAN.2018.8541233","DOIUrl":"https://doi.org/10.1109/ICSCAN.2018.8541233","url":null,"abstract":"Wireless Sensor networks are the low powered networks formed by sensor nodes that are used extensively in various fields. As a result, improving the network lifetime is the most important task to be accomplished. Since the sensor nodes are low battery powered, the conservative routing protocols cannot be applied. The recent studies have proved that clustering can remarkably reduce energy consumption thereby extending the lifetime of WSN. In this paper, we propose Enhanced Energy Efficient Routing Protocol (EEERP) for improving life of the network where clusters are formed during setup phase of the network. A sensor node remains in the same cluster throughout the lifespan of the network. The proposed protocol also shows a significant decrease in the energy dissipation and a noticeable throughput.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133363078","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}