Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6808066
Santanu Sarkar, S. Banerjee
This paper proposes the design techniques of high performance current comparator which can sense a minimum change of 8 nA for 10 μA input current. The current comparator shows fast response with 0.95 ns delay for an input current difference of 0.1 μA peak-to-peak and it can work up to 500 MHz clock frequency. The use of low impedance trans-impedance stage makes it faster and the preamplifier removes kickback noise. Using latch at the end of comparator provides a faster response. The dynamic comparator is pre-charged to VDD during low clock phase to remove the memory effects. The current comparator has been designed in 180 nm CMOS process with 1.8 V supply. The comparator shows an average power consumption of 697 μW for 10 μA input current.
{"title":"500 MHz differential latched current comparator for calibration of current steering DAC","authors":"Santanu Sarkar, S. Banerjee","doi":"10.1109/TECHSYM.2014.6808066","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6808066","url":null,"abstract":"This paper proposes the design techniques of high performance current comparator which can sense a minimum change of 8 nA for 10 μA input current. The current comparator shows fast response with 0.95 ns delay for an input current difference of 0.1 μA peak-to-peak and it can work up to 500 MHz clock frequency. The use of low impedance trans-impedance stage makes it faster and the preamplifier removes kickback noise. Using latch at the end of comparator provides a faster response. The dynamic comparator is pre-charged to VDD during low clock phase to remove the memory effects. The current comparator has been designed in 180 nm CMOS process with 1.8 V supply. The comparator shows an average power consumption of 697 μW for 10 μA input current.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"24 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127183072","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6808056
C. Karfa, Sheetal Jain
Multi-cycle paths (MCPs) are commonly used by designers as an efficient way to relax the timing constraints on eligible paths in their designs. MCP directs synthesis tools to relax the optimization on the specified paths. The MCP constraints are widely used in the Register Transfer Level (RTL) designs and are propagated to downstream tools. With the evolution of high level synthesis (HLS) tools, design entry and the constraints have to be specified at a higher level of abstraction. In addition, majority of the HLS users are system level designs or DSP experts who have little knowledge of RTL implementation flows. Hence, it is important for HLS tools to provide a methodology for specifying MCP constraints at a higher level of abstraction, consider the MCP paths during HLS and also forward annotate the MCP constraints to the RTL implementation tools. In this paper, we have created such a methodology for Synopsys Synphony model compiler (SMC), a model based HLS tool. To the best of our knowledge, MCP is supported for the first time in model based HLS flow. The effectiveness of specifying MCP on higher abstraction level is demonstrated on sample example designs.
多周期路径(mcp)是设计人员在设计中常用的一种有效的方法，可以放松对合适路径的时间限制。MCP指导合成工具在指定的路径上放松优化。MCP约束被广泛应用于寄存器传输电平(RTL)设计中，并被传播到下游工具中。随着高级综合(HLS)工具的发展，必须在更高的抽象级别上指定设计入口和约束。此外，大多数HLS用户是系统级设计或DSP专家，他们对RTL实现流程知之甚少。因此，对于HLS工具来说，重要的是提供一种在更高抽象层次上指定MCP约束的方法，在HLS期间考虑MCP路径，并将MCP约束转发注释到RTL实现工具。在本文中，我们为基于模型的HLS工具Synopsys Synphony model compiler (SMC)创建了这样一种方法。据我们所知，MCP首次在基于模型的HLS流中得到支持。通过实例设计验证了在更高抽象层次上指定MCP的有效性。
{"title":"On multi-cycle path support in model based high-level synthesis","authors":"C. Karfa, Sheetal Jain","doi":"10.1109/TECHSYM.2014.6808056","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6808056","url":null,"abstract":"Multi-cycle paths (MCPs) are commonly used by designers as an efficient way to relax the timing constraints on eligible paths in their designs. MCP directs synthesis tools to relax the optimization on the specified paths. The MCP constraints are widely used in the Register Transfer Level (RTL) designs and are propagated to downstream tools. With the evolution of high level synthesis (HLS) tools, design entry and the constraints have to be specified at a higher level of abstraction. In addition, majority of the HLS users are system level designs or DSP experts who have little knowledge of RTL implementation flows. Hence, it is important for HLS tools to provide a methodology for specifying MCP constraints at a higher level of abstraction, consider the MCP paths during HLS and also forward annotate the MCP constraints to the RTL implementation tools. In this paper, we have created such a methodology for Synopsys Synphony model compiler (SMC), a model based HLS tool. To the best of our knowledge, MCP is supported for the first time in model based HLS flow. The effectiveness of specifying MCP on higher abstraction level is demonstrated on sample example designs.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117236267","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6808087
Karan Jain, Tanmay Pal, S. Maka
Modeling of physiological systems is useful for qualitative and quantitative explanation of the underlying physiological mechanisms. Cardiovascular system has been chosen for the study. The 5th order time varying state space model for the cardiovascular system has been simulated. Considering cardiovascular circulation to be a switched linear time varying system, the stability issues in the same have been addressed.
{"title":"Stability issues in a cardiovascular circulation","authors":"Karan Jain, Tanmay Pal, S. Maka","doi":"10.1109/TECHSYM.2014.6808087","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6808087","url":null,"abstract":"Modeling of physiological systems is useful for qualitative and quantitative explanation of the underlying physiological mechanisms. Cardiovascular system has been chosen for the study. The 5th order time varying state space model for the cardiovascular system has been simulated. Considering cardiovascular circulation to be a switched linear time varying system, the stability issues in the same have been addressed.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124019587","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6808055
T. Agarwal, Bhupendra Gupta
Enhancing the contrast of a digital image without affecting the mean brightness of the input digital image is a basic requirement in many electronic applications. In this paper we proposed a contrast enhancement technique without affecting the mean brightness of the images. We propose a parametric sigmoid formula in which contrast and the position of steepest point of the curve of the function is adjusted by the parameters of sigmoid function. The experimental results show that we are able to enhance the contrast of the input image without making any significant effect on the mean brightness of the image.
{"title":"An approach based on parametric sigmoid function for contrast enhancement with mean brightness preservation","authors":"T. Agarwal, Bhupendra Gupta","doi":"10.1109/TECHSYM.2014.6808055","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6808055","url":null,"abstract":"Enhancing the contrast of a digital image without affecting the mean brightness of the input digital image is a basic requirement in many electronic applications. In this paper we proposed a contrast enhancement technique without affecting the mean brightness of the images. We propose a parametric sigmoid formula in which contrast and the position of steepest point of the curve of the function is adjusted by the parameters of sigmoid function. The experimental results show that we are able to enhance the contrast of the input image without making any significant effect on the mean brightness of the image.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130835038","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6807905
Aritra Chaudhuri, Siddharth Nayak, A. Routray
The Scalp EEG is a large-scale & robust information source about neocortical dynamic functions. In this paper, we analyze a scalp Electro Encephalogram (EEG) database of 33 human subjects during the cognitive activity of Meditation, specifically Kriya Yoga. The information measures such as Renyi, Shannon entropies and Relative Energy of the different EEG Bands such as Alpha, Beta, & delta of scalp EEG captured at specific electrodes are calculated for all subjects for the entire duration of Meditation. These frequency domain parameters are obtained as sequences corresponding to the dynamical activity of Meditation and are found to have a hidden dominant trend with many variations present which make the problem of Identification of the dominant trend a difficult problem. Here use of a data driven optimal filter has been employed to find out the dominant trend, and found to yield a clear monotonic change in the frequency parameters. This monotonic sequence can easily assumed to be corresponding to the dynamic activity during Meditation.
{"title":"Use of data driven optimal filter to obtain significant trend present in frequency domain parameters for scalp EEG captured during meditation","authors":"Aritra Chaudhuri, Siddharth Nayak, A. Routray","doi":"10.1109/TECHSYM.2014.6807905","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6807905","url":null,"abstract":"The Scalp EEG is a large-scale & robust information source about neocortical dynamic functions. In this paper, we analyze a scalp Electro Encephalogram (EEG) database of 33 human subjects during the cognitive activity of Meditation, specifically Kriya Yoga. The information measures such as Renyi, Shannon entropies and Relative Energy of the different EEG Bands such as Alpha, Beta, & delta of scalp EEG captured at specific electrodes are calculated for all subjects for the entire duration of Meditation. These frequency domain parameters are obtained as sequences corresponding to the dynamical activity of Meditation and are found to have a hidden dominant trend with many variations present which make the problem of Identification of the dominant trend a difficult problem. Here use of a data driven optimal filter has been employed to find out the dominant trend, and found to yield a clear monotonic change in the frequency parameters. This monotonic sequence can easily assumed to be corresponding to the dynamic activity during Meditation.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126522710","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6808059
Syed Altaf Ganihar, Shreyas Joshi, Nishant Patil, U. Mudenagudi, M. Okade
This paper investigates a novel decision framework for efficient selection of interpolation curve based on distance minimization for 3D rendering applications. The point clouds obtained from low resolution 3D scanners like Microsoft's Kinect or from sparse reconstruction algorithms usually fail to provide accurate information about the surface, either due to occlusions during the scanning process or inability of the scanner to generate a dense model of the surface. The proposed decision framework selects the best interpolation technique on a local basis utilizing the voting parameters obtained from the original point cloud. This framework enables us to obtain the comparatively best fit interpolation curve for upsampling due to the decisive feature of the framework. Experimental results are carried out using two interpolation techniques viz., quadratic spline interpolation and cubic spline interpolation technique to demonstrate the usefulness of such a decision framework for 3D point cloud data. The proposed decision framework is generic and holds good for more than two interpolation techniques.
{"title":"Voting-based decision framework for optimum selection of interpolation technique for 3D rendering applications","authors":"Syed Altaf Ganihar, Shreyas Joshi, Nishant Patil, U. Mudenagudi, M. Okade","doi":"10.1109/TECHSYM.2014.6808059","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6808059","url":null,"abstract":"This paper investigates a novel decision framework for efficient selection of interpolation curve based on distance minimization for 3D rendering applications. The point clouds obtained from low resolution 3D scanners like Microsoft's Kinect or from sparse reconstruction algorithms usually fail to provide accurate information about the surface, either due to occlusions during the scanning process or inability of the scanner to generate a dense model of the surface. The proposed decision framework selects the best interpolation technique on a local basis utilizing the voting parameters obtained from the original point cloud. This framework enables us to obtain the comparatively best fit interpolation curve for upsampling due to the decisive feature of the framework. Experimental results are carried out using two interpolation techniques viz., quadratic spline interpolation and cubic spline interpolation technique to demonstrate the usefulness of such a decision framework for 3D point cloud data. The proposed decision framework is generic and holds good for more than two interpolation techniques.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169495","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6808049
Audrija Mukherjee, J. K. Mukherjee
Human like viewing is a major challenge in intelligent remote scenario viewing in tele-robotic applications of mobile as well as fixed frame slaves that are interactively controlled in `man in loop' type control. The control being mainly based on console-views available to the operator, the HMI system must understand what the operator wants to look at. The presented work, attempts at developing a method for guessing operator interest zone in remote workspace area by understanding operator's reaction to `console-view'. The approach establishes a linkage for the remote camera control to subtle operator head movement in reaction to console view. The natural operator reaction is interpreted by our gaze estimator through rapidly extracted image clues.
{"title":"A gaze estimation approach for intelligent viewing in tele-operation","authors":"Audrija Mukherjee, J. K. Mukherjee","doi":"10.1109/TECHSYM.2014.6808049","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6808049","url":null,"abstract":"Human like viewing is a major challenge in intelligent remote scenario viewing in tele-robotic applications of mobile as well as fixed frame slaves that are interactively controlled in `man in loop' type control. The control being mainly based on console-views available to the operator, the HMI system must understand what the operator wants to look at. The presented work, attempts at developing a method for guessing operator interest zone in remote workspace area by understanding operator's reaction to `console-view'. The approach establishes a linkage for the remote camera control to subtle operator head movement in reaction to console view. The natural operator reaction is interpreted by our gaze estimator through rapidly extracted image clues.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123964165","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6807920
A. Tripathi, S. Swarup
In this paper, indoor environment classification and interpretation algorithm is proposed. Proposed algorithm needs low computation power and low payload thus enabling micro air vehicle (MAV) to quickly react and navigate. Here indoor environment is classified into corridor, staircase, and open space by using image edge gist descriptors and a neural network classifier. Use of some predetermined thresholds further increases the confidence of the classification and interpretation algorithm. Detection of horizontal lines cluster and vanishing point is used for the navigation in staircase and corridor environment respectively. Results demonstrate that the proposed algorithm can interpret the indoor environment effectively with > 90% accuracy.
{"title":"Environment interpretation for autonomous indoor navigation of micro air vehicles","authors":"A. Tripathi, S. Swarup","doi":"10.1109/TECHSYM.2014.6807920","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6807920","url":null,"abstract":"In this paper, indoor environment classification and interpretation algorithm is proposed. Proposed algorithm needs low computation power and low payload thus enabling micro air vehicle (MAV) to quickly react and navigate. Here indoor environment is classified into corridor, staircase, and open space by using image edge gist descriptors and a neural network classifier. Use of some predetermined thresholds further increases the confidence of the classification and interpretation algorithm. Detection of horizontal lines cluster and vanishing point is used for the navigation in staircase and corridor environment respectively. Results demonstrate that the proposed algorithm can interpret the indoor environment effectively with > 90% accuracy.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130225519","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6807918
Soumi Chaki, A. Verma, A. Routray, W. K. Mohanty, M. Jenamani
Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due to the nonlinear and heterogeneous nature of the subsurface physical properties. In this context, present study proposes a generalized one class classification framework based on Support Vector Data Description (SVDD) to classify a reservoir characteristic-water saturation into two classes (Class high and Class low) from four logs namely gamma ray, neutron porosity, bulk density, and P-sonic using an imbalanced dataset. A comparison is carried out among proposed framework and different supervised classification algorithms in terms of g-metric means and execution time. Experimental results show that proposed framework has outperformed other classifiers in terms of these performance evaluators. It is envisaged that the classification analysis performed in this study will be useful in further reservoir modeling.
{"title":"A one-class classification framework using SVDD: Application to an imbalanced geological dataset","authors":"Soumi Chaki, A. Verma, A. Routray, W. K. Mohanty, M. Jenamani","doi":"10.1109/TECHSYM.2014.6807918","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6807918","url":null,"abstract":"Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due to the nonlinear and heterogeneous nature of the subsurface physical properties. In this context, present study proposes a generalized one class classification framework based on Support Vector Data Description (SVDD) to classify a reservoir characteristic-water saturation into two classes (Class high and Class low) from four logs namely gamma ray, neutron porosity, bulk density, and P-sonic using an imbalanced dataset. A comparison is carried out among proposed framework and different supervised classification algorithms in terms of g-metric means and execution time. Experimental results show that proposed framework has outperformed other classifiers in terms of these performance evaluators. It is envisaged that the classification analysis performed in this study will be useful in further reservoir modeling.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131862368","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}
Pub Date : 2014-05-01DOI: 10.1109/TECHSYM.2014.6807910
K. Sirisha, N. George
With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the new algorithm in terms of speed of convergence has been compared with that of the filtered-s least mean square algorithm. The improved convergence of the new algorithm is evident from the simulation experiments.
{"title":"Improving convergence of nonlinear active noise control systems","authors":"K. Sirisha, N. George","doi":"10.1109/TECHSYM.2014.6807910","DOIUrl":"https://doi.org/10.1109/TECHSYM.2014.6807910","url":null,"abstract":"With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the new algorithm in terms of speed of convergence has been compared with that of the filtered-s least mean square algorithm. The improved convergence of the new algorithm is evident from the simulation experiments.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":"140 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113939807","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}
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