H. Draz, Eslam Elmitwalli, Mirna Soliman, S. Gabran, Mohamed Basha, H. Mostafa, M. Abu-Elyazeed, Amal Zaki
{"title":"Mechanical Analysis of Human DBS Electrodes","authors":"H. Draz, Eslam Elmitwalli, Mirna Soliman, S. Gabran, Mohamed Basha, H. Mostafa, M. Abu-Elyazeed, Amal Zaki","doi":"10.1109/ICM50269.2020.9331799","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331799","url":null,"abstract":"Deep brain stimulation (DBS) electrodes have been proved to be effective in treating neural related diseases in rodents. These devices were successfully extended to the field of human neuro therapy. Many different electrodes exist. However, no quantitative ranking criterion is available to allow meaningful comparison of the various DBS electrodes to aid the designer.This paper presents a novel Figure of Merit (FOM) dedicated to DBS electrodes. The proposed optimization performance takes into account safety factors of mechanical analysis and the estimated fabrication cost of some materials. The FOM is used to rank several DBS electrode designs.Finite Element Models (FEM) analysis for several electrode layouts are conducted. FEM shows the effects of different design parameters on the electrode mechanical performance. These parameters include electrode dimensions, geometry, and materials. The electrodes mechanical analysis is evaluated from different points of view including: linear buckling analysis, stationary analysis with axial and shear loading. The safety factors are calculated for several designs with different materials (brittle and ductile materials). The results obtained from FEM mechanical analysis for the various electrodes prototypes are presented, which provide guidelines for different electrode designs and material choice. A proposed fabrication process along with an estimated fabrication cost is also introduced.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240757","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}
John Jairus D. P. Eslit, M. T. D. Leon, M. Rosales
{"title":"High Contrast Gratings (HCG) MEMS-Tunable VCSEL Compact Model","authors":"John Jairus D. P. Eslit, M. T. D. Leon, M. Rosales","doi":"10.1109/ICM50269.2020.9331818","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331818","url":null,"abstract":"High contrast grating (HCG) microelectromechanical structure(MEMS)-tunable VCSELs have advantages that make them promising for applications like optical coherence tomography (OCT), light detection and ranging (LIDAR), and dense wavelength division multiplexing (DWDM). Circuit simulator-compatible laser compact models can aid circuit designers in improving the performance of systems that use them. While a compact model for VCSEL already exists, it does not sufficiently describe the behavior of tunable VCSELs. This paper discusses the creation of a compact model for HCG MEMS-tunable VCSELs implemented in Verilog-A using semiconductor laser rate equations. The simulated output power, laser diode voltage, and emitted wavelength at varying applied MEMS tuning voltage of the compact model agrees with the measured values with mean percentage errors of 7.0%, 5.3%, and 0.32%, respectively.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130766971","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}
Fady A. Abouelghit, G. Alkady, R. Daoud, H. Amer, I. Adly
{"title":"Motor Failure Detection in FPGA-Based Fault-Tolerant Quadcopters","authors":"Fady A. Abouelghit, G. Alkady, R. Daoud, H. Amer, I. Adly","doi":"10.1109/ICM50269.2020.9331801","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331801","url":null,"abstract":"Quadcopters have recently become a very important component in search and rescue missions. This paper proposes solutions to several problems facing quadcopters in such missions. First, a fault-tolerant FPGA-based architecture is developed which can recover from both soft and hard failures. It is then proven through reliability modeling that this architecture has a considerably higher lifetime than a similar architecture with no fault tolerance. Second, it is shown how to use accelerometers to detect motor faults in order to improve mission decision-making.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128519237","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}
Nedson J. Maia, A. D. R. Sánchez, R. Moreno, T. Pimenta, L. H. C. Ferreira
{"title":"A Low Power CMOS Operational Transconductance Amplifier with Improved CMRR","authors":"Nedson J. Maia, A. D. R. Sánchez, R. Moreno, T. Pimenta, L. H. C. Ferreira","doi":"10.1109/ICM50269.2020.9331501","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331501","url":null,"abstract":"This work proposes a new low power Operational Transconductance Amplifier (OTA) topology. The rejection to common-mode signals is achieved by adding parallel transistors to input MOS transistors in order to increase the Common Mode Rejection Ratio (CMRR). It achieves a gain of 87.34 dB at 9.65 μW power consumption. The article presents a comparison to other OTA topologies. The proposed OTA was designed for the IBM 0.13 μm CMOS technology.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132743260","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}
Abdalla Gabara, Retaj Yousri, Darine Hamdy, Michael H. Zakhari, H. Mostafa
{"title":"Patient Specific Epileptic Seizures Prediction based on Support Vector Machine","authors":"Abdalla Gabara, Retaj Yousri, Darine Hamdy, Michael H. Zakhari, H. Mostafa","doi":"10.1109/ICM50269.2020.9331776","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331776","url":null,"abstract":"Throughout the last decades there has been an increasing interest in analyzing the EEG signals of epilepsy patients in order to relate it to epilepsy seizure onsets. Previous research papers were published exploring the possible techniques to utilize the EEG signals for detecting and predicting seizure onsets through Machine Learning and Deep Learning models, such as Support Vector Machines and Convolutional Neural Networks. The aim of this work is to build practical hardware-implementable Machine Learning classifiers capable of predicting the seizure onsets prior to their occurrences with high sensitivity and accuracy. The classification method proposed involves removing certain channels for each patient, extracting the features from the EEG signal, selecting the best feature combination for each patient, and finally training the selected SVM classifier accordingly. Evaluating the performance of the proposed classification technique yields promising results for the selected patients with accuracies exceeding 95%.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130528759","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":"Design of a High Efficiency WLED Driver in 40 nm CMOS Technology","authors":"H. Ahmad, F. Shahroury","doi":"10.1109/ICM50269.2020.9331783","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331783","url":null,"abstract":"A DC-DC boost-converter-based, three-string White LED (WLED) driver with pure combinational logic in the forward voltage compensation circuit is presented. The proposed architecture optimizes efficiency with the presence of different forward voltage drop across each WLED connected in series in one string and among different strings. The strings don’t even need to be balanced (could have different numbers of WLEDs per string). The efficiency optimization is done via setting the minimum proper voltage (in real-time) at the output of the boost converter that activates all parallel strings and by choosing the appropriate arrangement of strings (number of strings and number of WLEDs in each string). Each string has a constant regulated current of 25 mA to drive the series-connected WLEDs in that string. An efficiency of 88.85 % was achieved with input voltage ranges between 3 V to 3.8 V and output voltage up to 25 V . The circuit is implemented using a 40 nm TSMC CMOS process.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133413010","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}
Mohammad Jaber, L. Hamawy, M. Hajj-Hassan, Mohamad Abou Ali, A. Kassem
{"title":"MATLAB/Simulink Mathematical Model for Lung and Ventilator","authors":"Mohammad Jaber, L. Hamawy, M. Hajj-Hassan, Mohamad Abou Ali, A. Kassem","doi":"10.1109/ICM50269.2020.9331820","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331820","url":null,"abstract":"Patients diagnosed with positive coronavirus results suffer from difficulties in breathing and major drop in blood oxygen saturation. This could lead unfortunately to a possible death if not treated well. Thus, this has increased the demand for the medical mechanical ventilators worldwide. The idea behind this work is development of a computational model for the study of the impact of different ventilation modes on patient’s respiratory system generally, and lungs more specifically. This model has been created using Matlab/Simulink platform. The studied ventilation mode is the Pressure Controlled Ventilator (PCV) signal combined to single and two compartmental models in series and in parallel mathematical models configuration of the lungs that represent the respiratory system parameters for testing. The ventilator’s setup includes the following parameters: positive end-expiratory pressure (PEEP), pressure wave, respiratory rate (RR), tidal volume, and others. By changing one of these parameters, we can monitor how this will affect the lungs by checking the volume, flow and PV loop for each lung mode. Simulation results have been recorded and are promising because this allows to study any type of ventilation modes conventional or novel ones virtually without the need to jeopardize the life of human subjects during clinical trials.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167890","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}
Abel A. Rubín-Alvarado, J. M. Gutierrez-Arias, F. Reyes‐Cortes, Gregoria Corona-Morales
{"title":"Trajectory planning in cooperative robots using artificial vision","authors":"Abel A. Rubín-Alvarado, J. M. Gutierrez-Arias, F. Reyes‐Cortes, Gregoria Corona-Morales","doi":"10.1109/ICM50269.2020.9331814","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331814","url":null,"abstract":"When obtaining a mathematical model of any physical system, it is very desirable to be able to verify it before carrying out its implementation, for it is resorted to several methods, one of them is the simulation. In this work we present a methodology denominated SimMechanics, for the system of a mobile robot differential type, carrying out a simulation more approximated to the reality, validating this way the model. The planning of the trajectory it is implemented only in the robot leader with a controller PID applied in the speed of each one of the motors, a second robot endowed with artificial vision denominated slave, that it will maintain identified to the robot leader in all moment and maintaining a determined distance robot leader, to achieve that the trajectory it is traveled by both robots, leader-slave of form cooperative.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117282207","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 Fully Integrated 1.2V LDO Regulator","authors":"K. Abugharbieh, Basel Yaseen, Abdullah Deeb","doi":"10.1109/ICM50269.2020.9331816","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331816","url":null,"abstract":"This work presents a fully integrated low-drop out voltage regulator that achieves a fast-transient response by utilizing two feedback mechanisms. The first feedback mechanism is an analog regulation that includes an error amplifier. The second feedback mechanism is based on digitizing any fast change in the output voltage using multiple comparators and subsequently enabling either an NMOS based or a PMOS based current DAC. The DAC provides current in opposite polarity to the sharp transient change in load current. As a result, sharp changes in load current is addressed by high-speed current DACs and is not limited by the performance of the error amplifier. The LDO was implemented using 180nm CMOS technology devices. It uses a supply voltage input range of 1.6 V – 2.0 V and produces an output voltage of 1.2 V. In simulations, the LDO regulator achieves 188 uA quiescent current, -56 dB PSRR @ 1 KHz noise frequency and an output voltage drop of around 200 mV for a load current step of 100 mA.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129097899","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}
Zainab Waleed Hussien, Doaa Sami Qawasmeh, M. Shurman
{"title":"MSCLP: Multi-Sinks Cluster-Based Location Privacy Protection scheme in WSNs for IoT","authors":"Zainab Waleed Hussien, Doaa Sami Qawasmeh, M. Shurman","doi":"10.1109/ICM50269.2020.9331785","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331785","url":null,"abstract":"One of the most important information in Wireless Sensor Networks (WSNs) is the location of each sensor node. This kind of information is very attractive to attackers for real position exposure of nodes making the whole network vulnerable to different kinds of attacks. According to WSNs privacy, there are two types of threats affect the network: Contextual and Content privacy. In this work, we study contextual privacy, where an eavesdropper tries to find the location of the source or sink node. We propose a Multi-Sinks Cluster-Based Location Privacy Protection (MSCLP) scheme in WSNs that divides the WSN into clusters, each cluster managed by one cluster head (CH). Each CH sends random fake packets in a loop then sends the real packet to the neighbor’s CHs using a dynamic routing method to confuse the attacker from tracing back the real packet to reveal the actual location of the source node, we are taking in our consideration two important metrics: the energy consumption, and the delay.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121584364","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}