{"title":"Design of a phoneme based voice controlled home automation system","authors":"G. Karan, D. Kumar, K. Pai, J. Manikandan","doi":"10.1109/ICCE-ASIA.2017.8307835","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307835","url":null,"abstract":"Speech recognition has found a variety of applications in consumer electronics, such as smart phones, laptops, speech to text converters, live subtitling on television, dictation tool and many more. In this paper, design of a Voice Controlled Home Automation System using phoneme based speech recognition is proposed. The proposed system uses Mel Frequency Cepstral Coefficients for feature extraction and a two stage Support Vector Machine for classification. In order to assess the performance of system designed, voice samples were recorded in the laboratory to train the system. 86.00–100.0% recognition accuracy is obtained on using the proposed system with a recognition time of 0.9063s. The proposed work can be easily extended for various other voice controlled pattern recognition applications.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129243885","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":"Evaluation of relevance vector machine classifier for a real-time face recognition system","authors":"H. Karthik, J. Manikandan","doi":"10.1109/ICCE-ASIA.2017.8307832","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307832","url":null,"abstract":"Face recognition has found a variety of applications in consumer electronics, such as laptops, smart phones, home security systems, home automation systems and many more. Machine learning is one of the important concepts, required for designing any pattern recognition system, including the proposed real-time face recognition system. Relevance vector machine is considered as one of the most recent machine learning algorithms reported in literature. In this paper, design and evaluation of Relevance Vector Machine classifier architectures for a real-time face recognition system using Histogram of Oriented Gradient features is proposed. In order to assess the performance of system designed, AT&T database of faces are initially considered, followed by the performance evaluation using real-time face inputs from the system camera. 81.25–97.00% recognition accuracy is obtained on using the proposed system and the proposed work can be easily extended for various other pattern recognition systems too.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490831","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":"Current controlled capacitor less low dropout voltage regulator for fast transient response","authors":"R. Ranjan","doi":"10.1109/ICCE-ASIA.2017.8307834","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307834","url":null,"abstract":"This paper discusses and address a transistor based new current control low dropout voltage regulator (LDO) offering a high gain and large bandwidth without using complex compensation and large output capacitor. The conventional error amplifier based LDO which is using voltage feedback loop suffers from an inherent poor load transient response. The poor load transient associated with error amplifier results because of limited DC open-loop gain and limited closed loop bandwidth. The frequency response of error amplifier based LDO is highly sensitive to load current. Current controlled transistor based LDO has been designed for fast dynamic response with low output capacitor in the range of 1 to 10 uF. Experimental results show circuit has small output voltage variations of less than 10 mV for load current variation in the range of 0–3A without any overshoot or undershoot. This circuit is also simulated in PSpice and results are compared with Hardware LDO.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121837846","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}
Zheqi Yu, Shufan Yang, Ian P. W. Sillitoe, K. Buckley
{"title":"Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device","authors":"Zheqi Yu, Shufan Yang, Ian P. W. Sillitoe, K. Buckley","doi":"10.1109/ICCE-ASIA.2017.8307853","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307853","url":null,"abstract":"Currently, most designers face a daunting task to research different design flows and learn the intricacies of specific software from various manufacturers in hardware/software co-design. An urgent need of creating a scalable hardware/software co-design platform has become a key strategic element for developing hardware/software integrated systems. In this paper, we propose a new design flow for building a scalable co-design platform on FPGA-based system-on-chip. We employ an integrated approach to implement a histogram oriented gradients (HOG) and a support vector machine (SVM) classification on a programmable device for pedestrian tracking. Not only was hardware resource analysis reported, but the precision and success rates of pedestrian tracking on nine open access image data sets are also analysed. Finally, our proposed design flow can be used for any real-time image processing-related products on programmable ZYNQ-based embedded systems, which benefits from a reduced design time and provide a scalable solution for embedded image processing products.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134277768","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}
Tejpratap Gollanapalli, V. Peddigari, Phani Shankar Madineni
{"title":"Auto white balance using dynamic histogram matching for AMOLED panels","authors":"Tejpratap Gollanapalli, V. Peddigari, Phani Shankar Madineni","doi":"10.1109/ICCE-ASIA.2017.8307848","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307848","url":null,"abstract":"This paper presents a novel method of Auto White Balance (AWB) using Dynamic Histogram Matching (AWB-DHM) for AMOLED panels. Existing methods of AWB based on histogram matching always chooses a specific channel based on pre-defined criteria such as channel having maximum cumulative intensity among the R, G and B channels etc.,. Then match the histograms of other two channels with the chosen channel. Since the channel selection is always constant, for a given algorithm, when AWB is applied for images under varying illumination conditions they are prone to color distortion. On the contrary, the proposed approach in this paper analyzes the histogram distribution for each color channel (R, G and B) of an input image and then dynamically decides the best fit channel for histogram matching. Hence, this approach eliminates color distortion in images under all lighting conditions and enhances the visual quality by increasing the Overlap Area (OA). This method increases the Overlap Area (OA) of three channels by at least 18% and contributes to additional power savings of 11% especially for AMOLED panels when the best fit channel chosen has lower cumulative intensity. Moreover, the proposed method is computationally efficient compared to existing methods.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128859479","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. Mittal, J. Bhatia, Rajeela Deshpande, A. Ghosh, P. Rana
{"title":"Sense amplifier based high speed flip-flop design for advanced sub-micron FinFET standard cell library","authors":"S. Mittal, J. Bhatia, Rajeela Deshpande, A. Ghosh, P. Rana","doi":"10.1109/ICCE-ASIA.2017.8307843","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307843","url":null,"abstract":"A novel high-speed sense-amplifier based flip-flop is presented in this paper. The proposed flip-flop design has improved D2Q delay and a glitch-less output. An in-depth analysis of sense-amplifier stacking order is presented and the proposed sense-amplifier design exploit multiple stacking orders of the clocked devices, input and feedback transistor and show approximately 25% overall advantage in performance of the flop as compared to the conventional variant of a flip-flop. Simulation results were obtained for sub-micron FinFET technology using industry standard production characterization setup. Monte Carlo stress checks were performed on the proposed designs to ensure bug-free operation and high-yield at the time of fabrication.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127620293","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":"Electrooculography based assistive technology for ALS patients","authors":"Dhanush Roopa Lingegowda, Karan Amrutesh, Srikanth Ramanujam","doi":"10.1109/ICCE-ASIA.2017.8307837","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307837","url":null,"abstract":"This paper describes an Assistive technology for ALS patients that is controlled by Electrooculogram signals (EOG). In situations of traumatic diseases or paralyzed conditions, the patient may lose the ability to communicate with others by speech or gestures. In most cases, the only remaining and active capability for patients suffering from neurodegenerative disorders are the eye movements. The human-computer interface provided is controlled by the eye movements of the patients. Using various eye movements, the individual can control the interface in order to communicate with others or request the help of the caretaker in cases of need and emergency. The use interface and virtual keyboard provided may be used to examine the performance and usability of the proposed assistive technology.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115691774","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":"Parallel image pre-processing for in-game object classification","authors":"P. Sundareson","doi":"10.1109/ICCE-ASIA.2017.8309316","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8309316","url":null,"abstract":"Games that involve photo-realistic rendering of virtual worlds, Special effects, VR, involve highly complex calculations on the GPU (Graphics Processing Unit). While GPUs have specialized cores that accelerate Graphics operations, they are also capable of general purpose computing. In this paper, a specific data flow is chosen for the use-case of in-game object-classification. This use-case involves converting large input graphics resolutions (4k) to much lower resolutions (256×256) needed for compute. We compare the different approaches available for executing the data flow using CUDA (Compute Unified Device Architecture) without impacting gaming performance, and publish comparisons on different classes of GPUs for the first time. It is shown that best performance is achieved with a combination of well optimized algorithms, priority of work assignment, and a flexible execution framework.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131626139","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":"Throttle override safety system for ‘design induced pilot error’ in electric vehicles","authors":"D. Prasanna, Karthik Sullia, S. Nagaraj","doi":"10.1109/ICCE-ASIA.2017.8309325","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8309325","url":null,"abstract":"Electric or Battery driven vehicles are the present and future of road transport. Safety systems for these vehicles are important due to the powertrain dealing with high current and absence of clutch. This paper provides solution to a specific problem called ‘design induced pilot error’. Such errors occur due to placement of pedals in the vehicle or due to lack of experience and as a result, both the throttle and brake pedals are pressed simultaneously. These incidents may have serious repercussions, such as toppling of the vehicle or other such accidents. It is solved by overriding the throttle pedal when incidents like ‘panic braking’, ‘hard braking’ occur. The circuit, realized using analog circuitry detaches the drive train from the shaft, thus freewheeling the vehicle. This leads to only the brakes interacting with the wheels, thus reducing the risk of a calamity. This system, in addition to aiding inexperienced drivers, provides better control to experienced drivers in maneuvering the vehicle.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123177735","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":"Intelligent monitoring and maintenance of solar plants using real-time data analysis","authors":"Mayuri Ejgar, B. Momin, T. Ganu","doi":"10.1109/ICCE-ASIA.2017.8307844","DOIUrl":"https://doi.org/10.1109/ICCE-ASIA.2017.8307844","url":null,"abstract":"In the recent years, we have seen a rapid increase in installation of solar plants worldwide. The overall energy generation and performance of solar plants depends upon effective and timely maintenance of different devices such as strings of solar panels, inverters and transformers. These devices can degrade over time or due to specific malfunctioning in the equipment. Energy production at the plant is not only affected by internal factors but also due to external factors such as dust, irradiation, module temperature etc. In this paper, we present a system to identify various malfunctioning and possible breakdowns of such devices based on real-time monitoring and various real-time anomaly detection techniques. Once the anomaly is detected, it is immediately informed to the appropriate service engineers for timely action. It helps in providing increased plant performance and efficiency for the solar plants.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122401343","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}