S. Amanatiadis, V. Salonikios, N. Kantartzis, T. Yioultsis
{"title":"Periodic Magnetically-biased Graphene Gratings for Effective Transmission Enhancement and Polarization Selective Features","authors":"S. Amanatiadis, V. Salonikios, N. Kantartzis, T. Yioultsis","doi":"10.1109/MOCAST57943.2023.10176799","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176799","url":null,"abstract":"The influence of magnetically-biased graphene gratings on an incident plane wave’s polarization is thoroughly investigated in the present paper. Initially, the gyrotropic properties due to the application of a magnetostatic bias on graphene are studied, indicating that the transmission coefficient is considerably degraded for realistic magnetic field values. For this reason, a periodic microstrip grating is designed and numerically analyzed concerning the polarization angle rotation, the axial ratio, and its transparency. The extracted results reveal polarization selective features since the transmission coefficient depends on the direction of the linearly polarized incident plane wave.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123118469","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. Riquelme, Matias Melivilu, I. Vourkas, Albert Cirera
{"title":"RevI-Ve: A Comprehensive Software Interface for Easy ReRAM Device Characterization","authors":"J. Riquelme, Matias Melivilu, I. Vourkas, Albert Cirera","doi":"10.1109/MOCAST57943.2023.10176900","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176900","url":null,"abstract":"Introducing the uninitiated students & researchers to ReRAM technology and its applications via true device characterization and practical laboratory work, will certainly motivate them further to implement and test their application ideas in hardware. However, the lack of knowledge of the necessary experiments and strategies to follow for the adequate treatment of such devices, is a limiting factor in this direction. This work bridges the gap introducing RevI-Ve, a comprehensive characterization software interface developed for laboratory work on ReRAM devices. RevI-Ve is compatible with the Digilent Analog Discovery instrument series and is suitable both for educational and for research purposes. RevIVe supports different voltage-/current-based circuit topologies to access the ReRAM devices and enables the quick realization of a variety of complex, yet fully-customizable, experiments. We present the principal advantages offered by the current version of this tool, a brief summary of the experiments it facilitates, and show some results with data collected from measurements on commercial Self-Directed-Channel devices sold by Knowm Inc.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134155462","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}
V. Vassios, Argirios. T. Hatzopoulos, D. K. Papakostas
{"title":"Improved Fault Detection of Analog Circuits by utilizing the Fundamental RMS of the Supply Current Fluctuation","authors":"V. Vassios, Argirios. T. Hatzopoulos, D. K. Papakostas","doi":"10.1109/MOCAST57943.2023.10176630","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176630","url":null,"abstract":"In this paper, an improved method for Fault Detection of analog circuits is presented. The improved method relies on measuring the Power Supply Current when the Circuit Under Test is put under a under/overvoltage stress and the power supply current (IPS) is measured. These measurements are used to extract new metrics for the normal and faulty behavior of the Circuit Under Test. Both Mean and fundamental RMS Supply Current are calculated to extract the signatures for the under/overshooting of the Power Supply current and the relaxation time that is needed for the circuits to return to their normal, nominal operation. The fundamental RMS value is used. The improved algorithm is presented, including simulation and actual results, for the algorithm, which is tested on analog circuits, showing the improved results against older approaches.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133518075","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}
N. Schmitt, A. Ascoli, I. Messaris, A. S. Demirkol, V. Ntinas, D. Prousalis, R. Tetzlaff, S. Nikolaidis, S. Menzel, V. Rana
{"title":"Exploration of Bistable Oscillatory Dynamics in a Memristor from Forschungszentrum Jülich","authors":"N. Schmitt, A. Ascoli, I. Messaris, A. S. Demirkol, V. Ntinas, D. Prousalis, R. Tetzlaff, S. Nikolaidis, S. Menzel, V. Rana","doi":"10.1109/MOCAST57943.2023.10177018","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10177018","url":null,"abstract":"Very recently, a deep numerical investigation of resistance switching phenomena in a TaOxReRAM cell from Forschungszentrum Jülich, based on a predictive physics-based model, uncovered the capability of the nano-device to exhibit one of two possible steady-state oscillatory behaviours, depending upon the initial condition, under specific AC periodic triangular wave stimuli. In these circumstances, however, one of the two oscillations in the device memory state, was found to hit cyclically the lower bound in the existence domain of the model solution. Out of a thorough numerical exploration of the model, guided by system-theoretic considerations based upon the Time Average State Dynamic Route tool, this paper shows that it is indeed possible to shape the parameters of an AC periodic pulse train excitation signal so that each of the two locally-stable oscillatory response solutions for the memory state of the ReRAM cell lie well within the range of admissible values.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"651 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122961727","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 2.1-fJ/Conversion-Step 10-bit 125-KS/s SAR ADC with Vcm-based Bidirectional Single-side Switching Scheme","authors":"Linlin Huang, Junhui Li, Xupeng Jiang, Jianhui Wu","doi":"10.1109/MOCAST57943.2023.10176456","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176456","url":null,"abstract":"This paper presents a Vcm-based bidirectional single-side (VBSS) switching scheme for a low-power successive approximation register (SAR) analog-to-digital converter (ADC). It reduces the switching energy and capacitive DAC bit size by 94.93% and 75% respectively, compared with the conventional scheme. Although the switching activity of the proposed scheme is the same as the existing shifted monotonic scheme, the maximum variation of its common-mode voltage is reduced by 50%. Hence the proposed VBSS switching technique realizes a better trade-off among switching energy, common-mode voltage variation, and switching activity. In addition, by employing the proposed self-shutdown logic, the power consumption of the cascaded-input (CI) comparator is reduced. Based on the proposed ideas, a 10-bit 125-KS/s SAR ADC is designed in TSMC 40-nm CMOS technology. With 0.6 V supply and Nyquist input, the post-layout simulated ENOB, SNDR, and SFDR are 9.67 bits, 59.63 dB, and 69.92 dB, respectively. And the proposed SAR ADC consumes 213 nW, leading to Walden’s figure of merit (FoMw) of 2.1 fJ/conversion step.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128036567","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}
Pablo H. Zapata-Cano, S. Amanatiadis, N. Kantartzis, P. Lazaridis, T. Yioultsis, Z. Zaharis
{"title":"FDTD modeling of graphene-based materials and its application in sensing devices","authors":"Pablo H. Zapata-Cano, S. Amanatiadis, N. Kantartzis, P. Lazaridis, T. Yioultsis, Z. Zaharis","doi":"10.1109/MOCAST57943.2023.10176699","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176699","url":null,"abstract":"This manuscript presents, an implementation for the modeling of graphene-based frequency-dispersive materials based on piecewise linear recursive convolution scheme is proposed. Moreover, the time-varying character of graphene’s conductivity is exploited for its application in sensing. A graphene oxide sensing antenna operating at 6 GHz is presented and a time analysis of detection mechanism is conducted.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131178619","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}
Nick Rigogiannis, I. Roussos, Christos Pechlivanis, Ioannis Bogatsis, A. Kyritsis, N. Papanikolaou, Michael Loupis
{"title":"Design Considerations of an LLC Converter for TEG-based WHR Systems in Shipboard Microgrids","authors":"Nick Rigogiannis, I. Roussos, Christos Pechlivanis, Ioannis Bogatsis, A. Kyritsis, N. Papanikolaou, Michael Loupis","doi":"10.1109/MOCAST57943.2023.10176538","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176538","url":null,"abstract":"The incorporation of a waste heat recovery system, based on thermoelectric generator modules, in a shipboard microgrid is studied in this paper. Various voltage boosting topologies are discussed and the most appropriate ones are evaluated through the LTspice simulation platform. The design process of the selected LLC resonant converter topology is presented and discussed in detail. In parallel, a flexible control scheme is proposed, capable of either maximum power tracking, or constant voltage (i.e., output voltage regulation) operation, in respect to the load demands. Finally, simulation results indicate the high efficiency that can be achieved with the proposed converter for a wide operating range, as well as the functionality and performance of the controller, in both operating modes.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121353058","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. S. Demirkol, I. Messaris, A. Ascoli, R. Tetzlaff
{"title":"DC Characterization of Numerically Efficient and Stable Locally Active Device Models","authors":"A. S. Demirkol, I. Messaris, A. Ascoli, R. Tetzlaff","doi":"10.1109/MOCAST57943.2023.10176722","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176722","url":null,"abstract":"In this work, we focus on two locally active device models and present, firstly, the simplification of a 3D modified Poole-Frenkel conduction based model on a mathematical basis, which leads to a compact and numerically efficient form of the conductance expression. Then, we present a transformation of the equations of a thermally induced phase transition based locally active device model such that the resulting set of equations is numerically stable and requires less simulation time. The new versions of both models share a similar form, though their state variables have different physical meanings. As an important aspect of their S-shaped DC I-V curves, we examine the DC characteristics of these equivalent models and derive analytical expressions for the peak and valley points in terms of the physically meaningful model parameters. Theoretical results are verified through numerical simulations while our findings may support device manufacturers to adopt a systematical approach to tailor the fundamental characteristics of locally active devices and help circuit designers to execute low cost and robust simulations of large scale systems utilizing them.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125354429","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}
M. Mobaraki, Anushree Bannadabhavi, M. Yedlin, Bhushan Gopaluni
{"title":"A Vision-based Deep Learning Platform for Human Motor Activity Recognition","authors":"M. Mobaraki, Anushree Bannadabhavi, M. Yedlin, Bhushan Gopaluni","doi":"10.1109/MOCAST57943.2023.10176420","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176420","url":null,"abstract":"To track the body movement of patients with movement disorders, sensors such as Kinect cameras are not easily accessible. Recently-developed deep learning models, as a subset of Artificial Intelligence (AI), can analyze patients’ behavior from RGB images of smartphones. The Stacked Hourglass model is a novel pose estimation deep learning model which can accurately determine the location of body joints and a long short-term memory network (LSTM) can determine the corresponding action by analyzing the kinematic behavior of the body joints. This study develops a deep learning model that uses RGB images from the UT-Kinect dataset as input and determines the action performed with 84.14 % accuracy. Specifically, our contributions are: (i) developed the preprocessing pipeline to use stack hourglass model on the UT-kinect dataset (ii) finetuning of the model to handle 20 joints (iii) Added a human action recognition component to accurately classify the actions performed. Our method can be an efficient replacement for the hardly-accessible Kinect cameras and can be used to analyze various diseases with movement disorders.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123706323","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}
R. Schroedter, A. S. Demirkol, A. Ascoli, B. Max, Florian Nebe, T. Mikolajick, R. Tetzlaff
{"title":"A pseudo-memcapacitive neurotransistor for spiking neural networks","authors":"R. Schroedter, A. S. Demirkol, A. Ascoli, B. Max, Florian Nebe, T. Mikolajick, R. Tetzlaff","doi":"10.1109/MOCAST57943.2023.10176398","DOIUrl":"https://doi.org/10.1109/MOCAST57943.2023.10176398","url":null,"abstract":"In this paper, we present a pseudo-memcapacitive neurotransistor by embedding a nonvolatile, abrupt-switching memristor at the gate of an NMOS transistor to emulate neuronal integrate and fire behavior. Neural networks, implementing spike-based computing paradigms on hardware platforms, integrating memristor crossbar arrays on underlying CMOS circuitry, operate similarly as neuronal networks in the human brain, which can significantly improve the time and energy efficiency of standard data processors. We demonstrate that also nonvolatile memristors can be considered to realize neuronal leaky integration and firing functionality including the neuron reset being performed intrinsically by a sufficiently discharged ’membrane’ potential at the gate of a transistor. A versatile, compact and abrupt-switching model of a nonvolatile memristor with built-in cycle-to-cycle variability is proposed, forming a pseudo-memcapacitance along with the gate capacitance and evoking conditional neuronal spike generation depending upon the properties of the input pulse train. The SPICE code of the pseudo-memcapacitive neurotransistor is applied to verify the design parameters that trigger firing. Finally, the envisaged circuit realization of the proposed design is discussed.","PeriodicalId":126970,"journal":{"name":"2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124695371","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}