Pub Date : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522422
S. Kadu, Ch. Naveen, V. Satpute, A. Keskar
In this paper, an effective algorithm for providing copyright protection is proposed by using a new embedding strategy for Discrete Wavelet Transform-based video watermarking. Discrete Wavelet Transform (DWT) is applied on the video, to convert the spatial data into frequency domain, having low pass and high pass components. The low frequency component is used for generating the key, by using the watermark image and the binarized Low frequency part (LL) of the video frame. Same procedure is applied on each frame to generate the key for corresponding frame. This generated key should be used at receiver for extracting the watermark which provides copyright protection. Blind watermarking technique is used in this paper which require only key to extract the embedded watermark. The original video is not required during extraction. To criticize the robustness of algorithm, the original watermark image is compared with extracted watermark image after several attacks and their Peak Signal to Noise Ratio (PSNR), Normalized Correlation Coefficient (NC) and Structural Similarity index (SSIM) are calculated. The experimental results demonstrate that the watermark is invisible and it is robust against the various attacks and addition of noise to the video.
{"title":"Discrete wavelet transform based video watermarking technique","authors":"S. Kadu, Ch. Naveen, V. Satpute, A. Keskar","doi":"10.1109/MICROCOM.2016.7522422","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522422","url":null,"abstract":"In this paper, an effective algorithm for providing copyright protection is proposed by using a new embedding strategy for Discrete Wavelet Transform-based video watermarking. Discrete Wavelet Transform (DWT) is applied on the video, to convert the spatial data into frequency domain, having low pass and high pass components. The low frequency component is used for generating the key, by using the watermark image and the binarized Low frequency part (LL) of the video frame. Same procedure is applied on each frame to generate the key for corresponding frame. This generated key should be used at receiver for extracting the watermark which provides copyright protection. Blind watermarking technique is used in this paper which require only key to extract the embedded watermark. The original video is not required during extraction. To criticize the robustness of algorithm, the original watermark image is compared with extracted watermark image after several attacks and their Peak Signal to Noise Ratio (PSNR), Normalized Correlation Coefficient (NC) and Structural Similarity index (SSIM) are calculated. The experimental results demonstrate that the watermark is invisible and it is robust against the various attacks and addition of noise to the video.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128899183","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522574
Monalisa Pal, S. Bandyopadhyay
Processing of the movement related task under planning by artificial means provides a means to those people whose natural modality of performing the task is bottlenecked by physical disability or neuro-motor disorders. Electroencephalography (EEG) based Brain-Computer Interfacing (BCI) systems can be defined to be a non-muscular pathway to operate rehabilitative devices using motor imagery signals captured from the motor activation areas in the brain. Supervised learning can help in prediction of motor imagery actions by processing raw EEG signals. However, dimension of the feature space plays a crucial role in this process. Large dimensional features not only increase the computational complexity but also the presence of redundant features causes reduction in classification accuracy. In this work, we intend to select the relevant features from the feature vector obtained by Power Spectrum Density estimation of the left/right motor imagery signals. BCI Competition 2008 - Graz dataset B has been used as the source of raw EEG data. To achieve this goal, we have used single-objective as well as many-objective version of Differential Evolution which optimizes the classifier's performance in terms of five metrics obtained from the Confusion Matrix. Support Vector Machine is used for fitness evaluation of the chosen feature subset as well as for classification of mental states. This work demonstrates the superiority of many-objective Differential Evolution in improving the accuracy due to reduction in feature dimension from an average of 60.56% to 82.60% while processing time of a test EEG sample reduces from 6.1 milliseconds to 5.6 milliseconds. The results obtained in this work are validated using Friedman Test.
{"title":"Many-objective feature selection for motor imagery EEG signals using differential evolution and support vector machine","authors":"Monalisa Pal, S. Bandyopadhyay","doi":"10.1109/MICROCOM.2016.7522574","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522574","url":null,"abstract":"Processing of the movement related task under planning by artificial means provides a means to those people whose natural modality of performing the task is bottlenecked by physical disability or neuro-motor disorders. Electroencephalography (EEG) based Brain-Computer Interfacing (BCI) systems can be defined to be a non-muscular pathway to operate rehabilitative devices using motor imagery signals captured from the motor activation areas in the brain. Supervised learning can help in prediction of motor imagery actions by processing raw EEG signals. However, dimension of the feature space plays a crucial role in this process. Large dimensional features not only increase the computational complexity but also the presence of redundant features causes reduction in classification accuracy. In this work, we intend to select the relevant features from the feature vector obtained by Power Spectrum Density estimation of the left/right motor imagery signals. BCI Competition 2008 - Graz dataset B has been used as the source of raw EEG data. To achieve this goal, we have used single-objective as well as many-objective version of Differential Evolution which optimizes the classifier's performance in terms of five metrics obtained from the Confusion Matrix. Support Vector Machine is used for fitness evaluation of the chosen feature subset as well as for classification of mental states. This work demonstrates the superiority of many-objective Differential Evolution in improving the accuracy due to reduction in feature dimension from an average of 60.56% to 82.60% while processing time of a test EEG sample reduces from 6.1 milliseconds to 5.6 milliseconds. The results obtained in this work are validated using Friedman Test.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411103","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522496
M. V. Ganeswara Rao, P. Kumar, A. M. Prasad
The Real time image processing is always in high demand for many applications used in security system, remote sensing, manufacturing process and multimedia, those require to have high performance. Based on that requirement, image processing systems have been proposed in this paper using a heterogeneous platform called TMS320DM642. The platform has an FPGA chip and a DSP processor. The FPGA chip is used as a functional element for image sampling and display and the DSP processor is used for critical image processing. In this paper, firstly we discuss the proposed hardware architecture and its working principle and then some key issues related external memory interface. Finally, an image edge detection algorithm is presented to test functionality of the proposed system. The developed system can acquire live frames from camera, display images on VGA monitor or NTSC/PAL TV and execute some image processing functions like colour model conversion, pixel based operation etc. It is also proved that the developed system can meet the real time performance requirement.
{"title":"Implementation of real time image processing system with FPGA and DSP","authors":"M. V. Ganeswara Rao, P. Kumar, A. M. Prasad","doi":"10.1109/MICROCOM.2016.7522496","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522496","url":null,"abstract":"The Real time image processing is always in high demand for many applications used in security system, remote sensing, manufacturing process and multimedia, those require to have high performance. Based on that requirement, image processing systems have been proposed in this paper using a heterogeneous platform called TMS320DM642. The platform has an FPGA chip and a DSP processor. The FPGA chip is used as a functional element for image sampling and display and the DSP processor is used for critical image processing. In this paper, firstly we discuss the proposed hardware architecture and its working principle and then some key issues related external memory interface. Finally, an image edge detection algorithm is presented to test functionality of the proposed system. The developed system can acquire live frames from camera, display images on VGA monitor or NTSC/PAL TV and execute some image processing functions like colour model conversion, pixel based operation etc. It is also proved that the developed system can meet the real time performance requirement.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131185701","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522468
S. Yadav, S. Hariharan, P. Muthuchidambaranathan
In this paper a generalized closed form expression for the average detection probability of an energy detector is derived in terms of computable Meijer G-function. Where the reporting channel in the centralized cooperative spectrum sensing is experiencing a n - μ fading. The reporting network is modeled as secondary users and fusion center equipped with multiple antenna for reporting. The fusion center combines the received data using maximal ratio combining and performs energy detection to make decision. The arrived generalized low complex expression offers the different fading conditions of reporting channel. Also, it is generalized for multiple antenna scenario. The arrived expression is validated by analytical results over different n - μ values with various multiple antenna scenario.
{"title":"Generalized average detection probability of centralized cooperative-MIMO cognitive radio network over β — μ faded reporting channel","authors":"S. Yadav, S. Hariharan, P. Muthuchidambaranathan","doi":"10.1109/MICROCOM.2016.7522468","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522468","url":null,"abstract":"In this paper a generalized closed form expression for the average detection probability of an energy detector is derived in terms of computable Meijer G-function. Where the reporting channel in the centralized cooperative spectrum sensing is experiencing a n - μ fading. The reporting network is modeled as secondary users and fusion center equipped with multiple antenna for reporting. The fusion center combines the received data using maximal ratio combining and performs energy detection to make decision. The arrived generalized low complex expression offers the different fading conditions of reporting channel. Also, it is generalized for multiple antenna scenario. The arrived expression is validated by analytical results over different n - μ values with various multiple antenna scenario.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130950581","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522473
V. Harish, Arun Kumar
A mathematical model for building energy systems (BES) is developed which maps the energy transfer processes occurring within the building space. Construction elements making up the building space and the heating and cooling plant responsible for thermal comfort of the occupants are also modeled. This involved quantification of linkages between temperature and humidity conditions and level occupancy (number of occupants, occupancy schedule) within building space. Thermal energy transfer processes of conductive, convective, and radiative heat balance for each surface of the construction elements and a convective heat balance for the building space are modeled. Building space zone is modelled for both sensible and latent thermal energy transfer. State space approach is used to model the building construction elements such as walls, with the parameters estimated using a nonlinear time invariant optimization algorithm with constraints. HVAC system is modelled with a control valve, heat emitter, occupancy driven ventilation controlled through a PID controller. A complete building energy system (BES) modeling procedure based on first principles of building physics is presented. BES model is simulated using MATLAB/Simulink and the results depict the temperature variations within the building space at less computational times.
{"title":"Modeling and simulation of a simple building energy system","authors":"V. Harish, Arun Kumar","doi":"10.1109/MICROCOM.2016.7522473","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522473","url":null,"abstract":"A mathematical model for building energy systems (BES) is developed which maps the energy transfer processes occurring within the building space. Construction elements making up the building space and the heating and cooling plant responsible for thermal comfort of the occupants are also modeled. This involved quantification of linkages between temperature and humidity conditions and level occupancy (number of occupants, occupancy schedule) within building space. Thermal energy transfer processes of conductive, convective, and radiative heat balance for each surface of the construction elements and a convective heat balance for the building space are modeled. Building space zone is modelled for both sensible and latent thermal energy transfer. State space approach is used to model the building construction elements such as walls, with the parameters estimated using a nonlinear time invariant optimization algorithm with constraints. HVAC system is modelled with a control valve, heat emitter, occupancy driven ventilation controlled through a PID controller. A complete building energy system (BES) modeling procedure based on first principles of building physics is presented. BES model is simulated using MATLAB/Simulink and the results depict the temperature variations within the building space at less computational times.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129570981","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522446
A. Kak, M. Srinivasan, Ashwin Shirsat, J. Chandle
Solar energy has gained momentum in the past few years with the current focus being on developing solar cells and panels that can be used on a large scale. A large part of the challenge lies in maintaining acceptable levels of efficiency while increasing scale. In this paper, we present a dual tracking methodology to increase the efficiency of existing photovoltaic systems. Our model employs a solar tracking scheme coupled with maximum power point tracking to achieve better efficiency. Solar tracking is used to ensure that the maximum permissible sunlight falls on the panel at any given point in time, while maximum power point tracking ensures load matching. The results are based on simulations performed in MATLAB.
{"title":"Dual tracking efficiency improvement method for photovoltaic systems","authors":"A. Kak, M. Srinivasan, Ashwin Shirsat, J. Chandle","doi":"10.1109/MICROCOM.2016.7522446","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522446","url":null,"abstract":"Solar energy has gained momentum in the past few years with the current focus being on developing solar cells and panels that can be used on a large scale. A large part of the challenge lies in maintaining acceptable levels of efficiency while increasing scale. In this paper, we present a dual tracking methodology to increase the efficiency of existing photovoltaic systems. Our model employs a solar tracking scheme coupled with maximum power point tracking to achieve better efficiency. Solar tracking is used to ensure that the maximum permissible sunlight falls on the panel at any given point in time, while maximum power point tracking ensures load matching. The results are based on simulations performed in MATLAB.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777323","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522560
Arnab Rakshit, A. Banerjee, D. Tibarewala
HCI (Human Computer Interfacing) technology is now able to provide an alternative support to the speech disabled person who have undergone severe brain stroke or spinal cord injury. It has been presented here that amongst all bio potential signal Electro-Oculogram (EOG) signal has got the ability to represent all daily life characters which is most needed for communication. This paper is aimed to provide novel approach of rehabilitative HCI where it successfully classifies the numerical digits drawn by subject's eye movement and for achieving the result, electro-oculography sensors (dual channel) and amplifier has been designed, which is able to extract the sharp change of corneo retinal potential due to eyeball movement intended to draw a pattern (numeric digit, alphabet). The extracted signal has been processed and classified successfully with more than 90% accuracy rate and with suitable precision and sensitivity value. Here Power spectral density has been used as feature extractor and support vector machine with multilayer perceptron kernel function has been used as feature classifier. Performance of other classifiers also have been compared here. 12 healthy subjects took part in experiment and their eyeball movement signal has been acquired for distinguishing different numerical digits that are frequently needed for communication to external world.
{"title":"Electro-oculogram based digit recognition to design assitive communication system for speech disabled patients","authors":"Arnab Rakshit, A. Banerjee, D. Tibarewala","doi":"10.1109/MICROCOM.2016.7522560","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522560","url":null,"abstract":"HCI (Human Computer Interfacing) technology is now able to provide an alternative support to the speech disabled person who have undergone severe brain stroke or spinal cord injury. It has been presented here that amongst all bio potential signal Electro-Oculogram (EOG) signal has got the ability to represent all daily life characters which is most needed for communication. This paper is aimed to provide novel approach of rehabilitative HCI where it successfully classifies the numerical digits drawn by subject's eye movement and for achieving the result, electro-oculography sensors (dual channel) and amplifier has been designed, which is able to extract the sharp change of corneo retinal potential due to eyeball movement intended to draw a pattern (numeric digit, alphabet). The extracted signal has been processed and classified successfully with more than 90% accuracy rate and with suitable precision and sensitivity value. Here Power spectral density has been used as feature extractor and support vector machine with multilayer perceptron kernel function has been used as feature classifier. Performance of other classifiers also have been compared here. 12 healthy subjects took part in experiment and their eyeball movement signal has been acquired for distinguishing different numerical digits that are frequently needed for communication to external world.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128166070","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522465
Cheepurupalli Ch. Naidu, E. Stalin
Establishing an underwater wireless acoustic communication link for practical applications is still a difficult task because of the severe channel conditions. Doppler and range spread are extremely high for under water channels (UWC) compared to ordinary radio channels. Moreover, the ever varying nature of the UWC increases the uncertainty in predicting the worst case values of doppler spread and range spread. In recent years, orthogonal frequency division multiplexing (OFDM) has emerged as the single solution to most of the problems in wireless communication systems. OFDM has dominated over single carrier modulation techniques mainly because of the simple, robust and low complexity receiver design with high data rate and high band width efficiency. But, it is only very recently that people have started exploring the usage of OFDM for UWC. In this paper, the design, modeling and testing of coded OFDM based underwater acoustic communication system for high data rate applications is explained.
{"title":"Establishment of underwater wireless acoustic MODEM using C-OFDM","authors":"Cheepurupalli Ch. Naidu, E. Stalin","doi":"10.1109/MICROCOM.2016.7522465","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522465","url":null,"abstract":"Establishing an underwater wireless acoustic communication link for practical applications is still a difficult task because of the severe channel conditions. Doppler and range spread are extremely high for under water channels (UWC) compared to ordinary radio channels. Moreover, the ever varying nature of the UWC increases the uncertainty in predicting the worst case values of doppler spread and range spread. In recent years, orthogonal frequency division multiplexing (OFDM) has emerged as the single solution to most of the problems in wireless communication systems. OFDM has dominated over single carrier modulation techniques mainly because of the simple, robust and low complexity receiver design with high data rate and high band width efficiency. But, it is only very recently that people have started exploring the usage of OFDM for UWC. In this paper, the design, modeling and testing of coded OFDM based underwater acoustic communication system for high data rate applications is explained.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127050906","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522430
A. Banerjee, Sujay Ray
SOX4; a crucial human protein acts as a transcriptional regulator for accurately determining the cytological regulations in human beginning from the embryonic development. It thus is aided by its only binding protein partner; human syntenin who binds to the C-terminal domain of SOX4 protein. Wet laboratory documentation well documents the interaction of proteins on this regard but the residual level analysis via optimization and simulation operation remains yet undisclosed. So, for the purpose, the essential responsible domain sequence of SOX4 protein was extracted thus the protein was modeled via the satisfaction of its several stereo-chemical properties. The human syntenin protein structure was there-after extracted from its experimentally validated crystal structure. Docking simulations of the two proteins further formed the essential protein complex, which then underwent necessary optimization and molecular dynamics simulation. Residual involvement from the pre optimized and post simulated protein-protein complex was evaluated and compared individually, with a focus on the pattern of binding. The doubling up of the predominant ionic interactions and side chain-side chain interactions poses the final simulated complex to be greatly interactive one. Mainly, polar positively charged; His14 from syntenin and Ser8 from the C-terminal protein domain of SOX4 protein aided in the stronger interactions, with His14 forming three predominant interactions solely. Furthermore, Asp10 from syntenin and Glu11 from SOX4 C-terminal domain also remained for increasing the strength of the duo protein complex. Statistically significant evaluations from free energy of folding, net area available for solvent accessibility along-with the conformational shifts from coils to β-sheets in the protein complex additionally affirms the simulated complex structure to increase its stability and conformational strength post optimization and simulation. Therefore, this current molecular level optimized exploration provides a novel scope to scrutinize the residual interactive pattern and the most stable interactive protein structure dependable for the proper cytological regulation in humans. For the upcoming research, it thereby instigates the clinical and biomedical field for cell fate determinations and neurogeny.
{"title":"Coils to β-sheets transitions and simulated structural interactions in human SOX4 and syntenin protein: An in silico insight into the cytological regulation: Computational approach for determination of the cell fate in humans","authors":"A. Banerjee, Sujay Ray","doi":"10.1109/MICROCOM.2016.7522430","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522430","url":null,"abstract":"SOX4; a crucial human protein acts as a transcriptional regulator for accurately determining the cytological regulations in human beginning from the embryonic development. It thus is aided by its only binding protein partner; human syntenin who binds to the C-terminal domain of SOX4 protein. Wet laboratory documentation well documents the interaction of proteins on this regard but the residual level analysis via optimization and simulation operation remains yet undisclosed. So, for the purpose, the essential responsible domain sequence of SOX4 protein was extracted thus the protein was modeled via the satisfaction of its several stereo-chemical properties. The human syntenin protein structure was there-after extracted from its experimentally validated crystal structure. Docking simulations of the two proteins further formed the essential protein complex, which then underwent necessary optimization and molecular dynamics simulation. Residual involvement from the pre optimized and post simulated protein-protein complex was evaluated and compared individually, with a focus on the pattern of binding. The doubling up of the predominant ionic interactions and side chain-side chain interactions poses the final simulated complex to be greatly interactive one. Mainly, polar positively charged; His14 from syntenin and Ser8 from the C-terminal protein domain of SOX4 protein aided in the stronger interactions, with His14 forming three predominant interactions solely. Furthermore, Asp10 from syntenin and Glu11 from SOX4 C-terminal domain also remained for increasing the strength of the duo protein complex. Statistically significant evaluations from free energy of folding, net area available for solvent accessibility along-with the conformational shifts from coils to β-sheets in the protein complex additionally affirms the simulated complex structure to increase its stability and conformational strength post optimization and simulation. Therefore, this current molecular level optimized exploration provides a novel scope to scrutinize the residual interactive pattern and the most stable interactive protein structure dependable for the proper cytological regulation in humans. For the upcoming research, it thereby instigates the clinical and biomedical field for cell fate determinations and neurogeny.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"02 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127188978","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 : 1900-01-01DOI: 10.1109/MICROCOM.2016.7522406
Chandrima Choudhury, S. Majhi, A. K. Mal
In this work design of a highly digital intensive Analog-to-Digital Converter is proposed using UMC 180 nm CMOS process technology with 1.8 V power supply. The ADC gives 5-bit resolution for a sampling frequency of 16.11 MHz while occupying 0.012 mm2 area. Average power consumption is only 1.43 mW. The design is implemented using a single-phase VCO based quantizer. The VCO has a clock-to-clock jitter of 769 fs and the frequency counter, that has been used as quantizer, is compatible with frequencies in the GHz range.
{"title":"Design of very low power time — domain analog — to — digital converter","authors":"Chandrima Choudhury, S. Majhi, A. K. Mal","doi":"10.1109/MICROCOM.2016.7522406","DOIUrl":"https://doi.org/10.1109/MICROCOM.2016.7522406","url":null,"abstract":"In this work design of a highly digital intensive Analog-to-Digital Converter is proposed using UMC 180 nm CMOS process technology with 1.8 V power supply. The ADC gives 5-bit resolution for a sampling frequency of 16.11 MHz while occupying 0.012 mm2 area. Average power consumption is only 1.43 mW. The design is implemented using a single-phase VCO based quantizer. The VCO has a clock-to-clock jitter of 769 fs and the frequency counter, that has been used as quantizer, is compatible with frequencies in the GHz range.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127584685","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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