P. Vergallo, A. Lay-Ekuakille, N. Giannoccaro, D. Caratelli, A. Massaro, A. Trabacca, S. Urooj
{"title":"Processing EEG signals through beamforming techniques for seizure diagnosis","authors":"P. Vergallo, A. Lay-Ekuakille, N. Giannoccaro, D. Caratelli, A. Massaro, A. Trabacca, S. Urooj","doi":"10.1109/ICSENST.2012.6461729","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461729","url":null,"abstract":"Epilepsy is one of the most common neurological disorders. It is very difficult the identification of seizures because they are infrequent events to be detected and an electroencephalogram (EEG) does not always show abnormalities due to interferences and noise. In this work, methods based on principles of spatial filtering are developed to allow a more accurate diagnosis. For this aim techniques based on Beamforming are taken into account for their ability to constrain the passing of the electrical activity from a specified location attenuating the activity to others. The problem is set as a waveform estimation, so information about amplitude and frequency of the signal are extracted from measured EEG signal. The reconstruction of the desired signal, that is the possible signal originated from epileptogenic focus, will highlight abnormalities or not in the electrical activity of the brain, and will help to have accurate diagnosis. For this scope, in this work, EEG data by scalp are simulated, in a preliminary way, through the solution of a forward problem related to geometry of the head and to the definition of a model for the envisaged source. A simple geometry is considered and, simulations and results are presented, showing the performance of several algorithms. Following the methods have been applied on real data, In this case it is necessary to know the position of the source for to reconstructing of the signal of interest. As per alternative, to estimate the position of the sources, methods of a DOA estimation have been studied. In a preliminary way this problem is faced with consideration on the resolution issue of the sources when they are very close together.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128148115","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}
S. Borhade, M. Shah, P. Jadhav, D. Rajurkar, A. Bhor
{"title":"Advanced driver assistance system","authors":"S. Borhade, M. Shah, P. Jadhav, D. Rajurkar, A. Bhor","doi":"10.1109/ICSENST.2012.6461772","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461772","url":null,"abstract":"In recent years, pedestrian detection (PD) plays a vital role in a variety of applications such as security cameras, automotive control and so forth. These applications require two essential features, i.e. high speed performance and high accuracy. Firstly, the accuracy is determined by how the image features are described. The image feature description must be robust against occlusion, rotation, and the change in object shapes and illumination conditions. A number of feature descriptors have been proposed. Previously histogram of oriented gradients(HOG) features were extensively used along with support vector machine (SVM) classifier for PD. HOG features and SVM classifier can achieve good performance for PD, but they are time consuming. To achieve high detection speed with good detection performance, a Two-step framework method was proposed. The Two-step framework consists of a full-body detection (FBD) step and a head-shoulder detection (HSD) step. Zhen Li proposed the fusion of Haar-like and HOG features to get better performance, and the HSD step utilizes edgelet features for classification and detection. This paper has limitations as low detection rate and less computation speed. In order to alleviate these limitations we propose here a new methodology for improving the detection rate and speed. Hence, the performance and accuracy of the detection can be improved by the combination of Haar-like and Triangular features for FBD and Edgelet/Shapelet for HSD. We expect an average 95% detection rate and 60% faster speed for the proposed method.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127032153","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":"Implementation of wireless gas leakage detection system","authors":"M. Rakesh, S. Dagadi","doi":"10.1109/ICSENST.2012.6461747","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461747","url":null,"abstract":"This paper describes the development of a wireless gas sensor network. The system consists of Sensor nodes, Routers and Coordinator. Coordinator is connected to a personal computer (PC) using USB/Ethernet. This wireless network is capable of collecting the data (Gas concentration) of monitoring sites wirelessly and sending to the PC to update the values in Control Station Software (CSS). It can give real time monitoring of potential risk area and locate the leakage point. This paper also covers the details regarding the specifications of the system developed and the choices made to achieve the specifications.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122601809","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":"An automated machine vision based system for fruit sorting and grading","authors":"C. S. Nandi, B. Tudu, C. Koley","doi":"10.1109/ICSENST.2012.6461669","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461669","url":null,"abstract":"The paper presents a computer vision based system for automatic grading and sorting of agricultural products like Mango (Mangifera indica L.) based on maturity level. The application of machine vision based system, aimed to replace manual based technique for grading and sorting of fruit. The manual inspection poses problems in maintaining consistency in grading and uniformity in sorting. To speed up the process as well as maintain the consistency, uniformity and accuracy, a prototype computer vision based automatic mango grading and sorting system was developed. The automated system collect video image from the CCD camera placed on the top of a conveyer belt carrying mangoes, then it process the images in order to collects several relevant features which are sensitive to the maturity level of the mango. Finally the parameters of the individual classes are estimated using Gaussian Mixture Model for automatic grading and sorting.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121500348","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}
E. Sazonov, T. Haskew, A. Price, B. Grace, S. Schuckers
{"title":"Electronic and Electromechanical Tester of physiological sensors","authors":"E. Sazonov, T. Haskew, A. Price, B. Grace, S. Schuckers","doi":"10.1007/978-3-319-02315-1_12","DOIUrl":"https://doi.org/10.1007/978-3-319-02315-1_12","url":null,"abstract":"","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126596478","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":"A combined electrostatic-triboelectric vibration energy harvester","authors":"J. Francis, C. Anoop, B. George, B. Bhikkaji","doi":"10.1109/ICSENST.2012.6461666","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461666","url":null,"abstract":"This paper presents a new combined electrostatic-triboelectric energy harvester. One of the practical limitations of Electrostatic Vibration Energy (EVE) harvesting technologies is the need for an initial priming voltage source. In the proposed scheme, the triboelectric effect is used to provide initial charges necessary for EVE harvester. This harvester converts vibration to electrical energy and stores it in two storage capacitors. The new harvester has a triboelectric part and an EVE part. The triboelectric part charges one of the storage capacitors and at the same time supplies necessary initial charge for EVE part which charges the other storage capacitor. In this way, charges generated by triboelectric part are fully transferred from it, which ensures best and continuous triboelectric charge generation. Without proper transfer of charges, the triboelectric part will saturate in few cycles of vibration. Thus, in the combined harvester both schemes aid each other. A prototype of the new harvester has been built and tested. The developed unit generated about 45 nW of power from a low frequency vibration source of 3 Hz.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128351683","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. Kiranmayee, P. Panchariya, P. B. Prasad, A. Sharma
{"title":"Biomimetic classification of juices","authors":"A. Kiranmayee, P. Panchariya, P. B. Prasad, A. Sharma","doi":"10.1109/ICSENST.2012.6461740","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461740","url":null,"abstract":"This paper describes the use of voltammetric electronic tongue and pattern recognition techniques used as a biomimetic system for classifying eight varieties of Indian juices. The responses from the voltammetric electronic tongue were recorded for all the samples of eight varieties of juices. In order to classify the juices into different classes, different pattern recognition techniques were used. The data being large as is the case with voltammetric signals is analyzed using Principal Component Analysis to transform the data into a low dimensional feature vector space involving Principal components thereby realizing dimensionality reduction of the responses followed by the selection of relevant principal components. Later, these relevant principal components are used as inputs to a distance based classifier for classifying the juices and the classification accuracy attained is 100%. The results demonstrate the feasibility of voltammetric electronic tongue combined with pattern recognition techniques for discriminating and classifying the juice samples.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133532295","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":"Coverage and connectivity in Wireless Sensor Networks: Their trade-offs","authors":"S. Baidya, C. K. Bhattacharyya","doi":"10.1109/ICSENST.2012.6461700","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461700","url":null,"abstract":"In Wireless Sensor Networks deploying a sensor node ensuring full coverage with connectivity is a real challenge. It is extremely difficult to find an optimal node deployment strategy that can minimize cost, and communicate on overhead and provide a high degree of coverage with network connectivity. In this paper we have made a comparative study to reach an optimum deployment solution using a layered deployment model. We have also presented the trade-offs between optimal coverage and optimal connectivity topology and their mathematical foundations. The simulation results verify the mathematical calculations.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134564226","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":"Synthesis of nanostructured NiO by hydrothermal route and its gas sensing properties","authors":"D. V. Ahire, G. Patil, G. Jain, V. Gaikwad","doi":"10.1109/ICSENST.2012.6461656","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461656","url":null,"abstract":"A hydrothermal process was used for the synthesis of nanostructured NiO with and without capping reagent (surfactant). Nickel Chloride (NiCl2) a precursor of Nickel and Thioglycerol, a capping reagent, was used for this preparation. The structure, morphology and crystalline phase of the nickel oxide nanocrystal have been investigated by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X-ray diffraction (XRD). TEM images showed that the nickel oxide nanoparticles have hexagonal structure with uniform size distribution around 20-38 nm for NiO with capping agent and 23-100 nm for NiO without capping agent. Phase pure, cubic nickel oxide formation was identified from the XRD data. The thick films of NiO were prepared by screen-printing technique to study their gas sensing properties. The gas sensing performance of NiO thick films (with and without surfactant) were tested to H2S, LPG, H2, NH3, Ethanol, CO, CO2, and O2, to operating temperature ranging from 100 °C to 450 °C, they showed maximum response to H2S for 10 ppm gas concentration at 150 °C. The response and recovery values upon the exposures to 10 ppm H2S gas and air were 4 s and 58 s for NiO (with surfactant) thick film sensor, while those were 10 s and 64 s for NiO (without surfactant) thick film sensor respectively. The NiO thick films have potential applications in H2S gas sensor applications. The results are discussed and presented in this paper.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133669964","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}
J. Gladwin, R. Umamahaeswaran, K. Sivan, P. Mathias
{"title":"Performance evaluation of a vision sensor in 3D virtual environment for rendezvous and docking application","authors":"J. Gladwin, R. Umamahaeswaran, K. Sivan, P. Mathias","doi":"10.1109/ICSENST.2012.6461671","DOIUrl":"https://doi.org/10.1109/ICSENST.2012.6461671","url":null,"abstract":"In the international scenario of nations developing space stations, rendezvous and docking [RVD] is one of the most important processes associated with astronavigational activities. During the process of docking, as the distance between chaser and target spacecraft decreases on the approach line to the target spacecraft, the lateral displacement and velocities relative to the target will also decrease proportionally. This necessitates increased navigational accuracies along the approach sequence towards achieving docking. The absolute/relative navigation sensors used have a limited range and accuracy of operation, which determines the extent of the particular approach phase in which it will be used. Vision sensors can provide millimetre accuracies in less than ten meter range. This made Vision Sensors/ Computer Vision/ Machine vision a key element in proximity phase of RVD missions, especially in automated rendezvous and docking. This paper proposes a vision sensor for the above application and validates the concept and accuracy requirements using a 3D virtual environment.","PeriodicalId":367665,"journal":{"name":"2012 Sixth International Conference on Sensing Technology (ICST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125168601","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}