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2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)最新文献

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Temperature and noise cancellation for Carbon Nanotube ISFET Sensor 碳纳米管ISFET传感器的温度和噪声消除
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498193
Ahmed Gaddour, W. Dghais, B. Hamdi, M. Ali
{"title":"Temperature and noise cancellation for Carbon Nanotube ISFET Sensor","authors":"Ahmed Gaddour, W. Dghais, B. Hamdi, M. Ali","doi":"10.1109/DTS52014.2021.9498193","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498193","url":null,"abstract":"Ions-Sensitive Field-Effect Transistors (ISFETs) have been widely used as sensor interfaces for biochemical and chemistry fields. Despite ISFET’s fast reaction (i.e. response), compact size as well as large measurement range, temperature variability is commonly impact the reliability of the measuring performance, which requires more protection in the results obtained and instruments of the study. In this article, we are introducing a new method for a CNISFET micro-sensor that uses a flexible analog circuit to perform noise reduction and temperature compensation. The circuit is developed for the common CNISFET micro sensor simulated on the TopSPICE platform. The proposed topology demonstrates a strong immunity to temperature variation and the interference of the noise.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124724383","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}
引用次数: 0
Combining of TD-GC-MS and home developed electronic nose for road traffic air monitoring 将TD-GC-MS与国内研制的道路交通空气监测电子鼻相结合
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498110
M. Moufid, C. Tiebe, N. El Bari, M. Bartholmai, B. Bouchikhi
{"title":"Combining of TD-GC-MS and home developed electronic nose for road traffic air monitoring","authors":"M. Moufid, C. Tiebe, N. El Bari, M. Bartholmai, B. Bouchikhi","doi":"10.1109/DTS52014.2021.9498110","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498110","url":null,"abstract":"In this work, we demonstrate the ability of an electronic nose system based on an array of six-semiconductor gas sensors for outdoor air quality monitoring over a day at a traffic road in downtown of Meknes city (Morocco). The response of the sensor array reaches its maximum in the evening of the investigated day which may due to high vehicular traffic or/and human habits resulting in elevated concentrations of pollutants. Dataset treatment by Principal Component Analysis and Discriminant Function Analysis shows a good discrimination between samples collected at different times of the day. Moreover, Support Vector Machines were used and reached a classification success rate of 97.5 %. Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS) technique was used to validate the developed e-nose system by identifying the composition of the analyzed air samples. The discrimination obtained by e-nose system was in good agreement with the TD-GC-MS results. This study demonstrates the usefulness of TD-GC-MS and e-nose, providing high accuracy in discriminating outdoor air samples collected at different times. This demonstrates the potential of using the e-nose as a rapid, easy to use and inexpensive environmental monitoring system.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124376321","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}
引用次数: 1
Classification and Identification of Alzheimer Disease With Fuzzy Logic Method 模糊逻辑方法在阿尔茨海默病分类识别中的应用
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498257
Ikbel Haouas, Mourad Moussa, A. Douik
{"title":"Classification and Identification of Alzheimer Disease With Fuzzy Logic Method","authors":"Ikbel Haouas, Mourad Moussa, A. Douik","doi":"10.1109/DTS52014.2021.9498257","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498257","url":null,"abstract":"Many studies and researches were published about Alzheimer's disease (AD) in recent decades. AD is a degenerative brain disease; it causes cardinal memory deterioration and significant cognitive impairments. In the absence of treatment, searching new innovative methods of this disease prediction becomes a challenge for both doctors and computer scientists. In the same context, we dedicated the following article in the first place to develop approaches in order to predict Alzheimer's disease within pre-treatment of brain images. Our classification's approaches detailed in this paper is based on Fuzzy logic within 3D MRI brain images, 3D PET Florbetaben brain images and 3D PET Flortaucipir brain images.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126411046","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}
引用次数: 2
An efficient FPGA-based design for the AVMF filter 基于fpga的高效AVMF滤波器设计
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498232
A. Atitallah
{"title":"An efficient FPGA-based design for the AVMF filter","authors":"A. Atitallah","doi":"10.1109/DTS52014.2021.9498232","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498232","url":null,"abstract":"This paper introduces an efficient parallel hardware architecture to implement the Adaptive Vector Median Filter (AVMF) in Field Programmable Gate Array (FPGA). This architecture is developed using the VHSIC Hardware Description language (VHDL) language and integrated in the Hardware/Software (HW/SW) environment as coprocessor. The NIOS II softcore processor is used to execute the SW part. The communication between HW and SW parts is carried out through the Avalon bus. The experimental results on the Stratix II development board show that the HW/SW AVMF system allows a reduction in processing time by 572 times relative to the SW solution at 140MHz with small decrease in image quality.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128319794","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}
引用次数: 0
An autonomous acoustic collar to quantify the severity of covid-19 effects by analyzing the vibratory components of vocal and respiratory systems 一种自主声学项圈，通过分析声音和呼吸系统的振动成分来量化covid-19影响的严重程度
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498235
V. Elias, A. Rabih, S. Bin, H. Aziz, G. Nassar
{"title":"An autonomous acoustic collar to quantify the severity of covid-19 effects by analyzing the vibratory components of vocal and respiratory systems","authors":"V. Elias, A. Rabih, S. Bin, H. Aziz, G. Nassar","doi":"10.1109/DTS52014.2021.9498235","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498235","url":null,"abstract":"In this work, an acoustic wide band devise based on a nano-wire electromechanical sensor has been designed to assess the pathophysiology state severity resulting from the effect of Covid-19 affectation. The system consists of a flexible collar to which biocompatible acoustic and thermoelectric sensors associated at an Artificial Intelligence algorithm to provide an objective analysis regarding the effects of the infection disease. This devise able to offers multidimensional information and a decision support tool for determining a pathophysiological state representative of the symptoms explored. Having tested the device on 30 subjects, it was able to differentiate patients with mild symptoms from those who have developed acute signs of respiratory failure. With this potential, it contributes to the non-invasive assessment and dynamic observation of lesions in order to provide support for medical operators to improve an optimal clinical management in times of crisis.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128880023","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}
引用次数: 0
A Two-stage Area-efficient High Input Impedance CMOS Amplifier for Neural Signals 一种用于神经信号的两级面积高效高输入阻抗CMOS放大器
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498105
Erwin H. T. Shad, M. Molinas, T. Ytterdal
{"title":"A Two-stage Area-efficient High Input Impedance CMOS Amplifier for Neural Signals","authors":"Erwin H. T. Shad, M. Molinas, T. Ytterdal","doi":"10.1109/DTS52014.2021.9498105","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498105","url":null,"abstract":"In this article, a two-stage area-efficient high input impedance neural amplifier is proposed. It has been shown that two single-stage amplifiers with low gain will consume less area in comparison with a single-stage high gain amplifier for capacitively coupled amplifiers. Besides, splitting a high gain amplifier into two single-stages in this structure leads to achieving a higher input impedance at the end. Furthermore, it helps to boost the input impedance at a higher frequency. The robustness of the proposed structure is investigated by process and mismatch Monte Carlo simulations. All the simulations are run using in a commercially available 0.18 μm CMOS technology. Based on post-layout simulation, the proposed two-stage amplifier has 53 dB mid-band gain in the bandwidth of 5 Hz to 10 kHz. The input impedance is 2.8 GΩ and 56 MΩ at 1 kHz and 10 kHz, respectively. In comparison to a single-stage amplifier, the proposed structure boosted the input impedance at frequencies up to 1 kHz by a factor of 10 while the power consumption increased only 0.5 μW. Furthermore, the proposed two-stage neural amplifier area consumption is 0.02 mm2 without pads which decreased area consumption by a factor of 3.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128823442","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}
引用次数: 0
DCT -II Transform Hardware-Based Acceleration for VVC Standard 基于DCT -II变换硬件的VVC加速标准
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498196
Werda Imen, Belghith Fatma, Maraoui Amna, N. Masmoudi
{"title":"DCT -II Transform Hardware-Based Acceleration for VVC Standard","authors":"Werda Imen, Belghith Fatma, Maraoui Amna, N. Masmoudi","doi":"10.1109/DTS52014.2021.9498196","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498196","url":null,"abstract":"The versatile video coding (VVC) standard achieves an important coding efficiency performance due to relevant innovation induced within several tools. Numerous contributions were made to the transform module with the use of new approach called Multiple Transform Selection (MTS). Three transform types are allowed: two Discrete Cosine Transform (DCT), noted DCT-II and DCT-VIII ; and one Discrete Sine Transforms (DST) DST-VII. This novel module enhances the compression efficiency performance and induces additional computational complexity. This work proposes hardware architectures of the 1-D and 2-D DCT-II transform considered as the most selected transform type within MTS module. Proposed implementation exploits correlation and symmetry properties within DCT-II transform matrices. VHDL implementation of the adopted method was able to process at 164 MHZ under an Arria 10AX115N3F4512SGES device.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134603820","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}
引用次数: 8
RCN2: Residual Capsule Network V2 RCN2:残余胶囊网络V2
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498216
Arjun Narukkanchira Anilkumar, M. El-Sharkawy
{"title":"RCN2: Residual Capsule Network V2","authors":"Arjun Narukkanchira Anilkumar, M. El-Sharkawy","doi":"10.1109/DTS52014.2021.9498216","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498216","url":null,"abstract":"Unlike Convolutional Neural Network (CNN), which works on the shift-invariance in image processing, Capsule Networks can understand hierarchical model relations in depth[1]. This aspect of Capsule Networks let them stand out even when models are enormous in size and have accuracy comparable to the CNNs, which are one-tenth of its size. The capsules in various capsule-based networks were cumbersome due to their intricate algorithm. Recent developments in the field of Capsule Networks have contributed to mitigating this problem. This paper focuses on bringing one of the Capsule Network, Residual Capsule Network (RCN) to a comparable size to modern CNNs and thus restating the importance of Capsule Networks. In this paper, Residual Capsule Network V2 (RCN2) is proposed as an efficient and finer version of RCN with a size of 1.95 M parameters and an accuracy of 85.12% for the CIFAR-10 dataset.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132065306","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}
引用次数: 0
Real-Time Application for Covid-19 Class Detection based CNN Architecture 基于CNN架构的Covid-19类检测实时应用
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498055
M. Fradi, M. Machhout
{"title":"Real-Time Application for Covid-19 Class Detection based CNN Architecture","authors":"M. Fradi, M. Machhout","doi":"10.1109/DTS52014.2021.9498055","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498055","url":null,"abstract":"Covid-19 disease has been known as a spreaded epidemic across the whole world that affects millions of people, causing deaths and catastrophic effects. For this reason, Computer Aided Diagnosis System (CAD), consists to be a crucial step using deep learning algorithms. In this context, a CNN network has been proposed using two optimizers networks such as Rmsprop and SGD with momentum.the whole system is implemented on both CPU and GPU with the aim to speed up the implementation time process. Then to have a medical real application which automatically detect the covid-19 class from X-rays images of chest. Classification results achieved in terms of accuracy, specificity and sensitivity 99.22%, 99.65% and 99.45% respectively, outperforming the state of the art. As a result, a medical real time application is achieved for Covid-19 class detection in a short time process.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133013563","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}
引用次数: 2
Towards Autonomous Node Sensors: Green Versus RF Energy Harvesting 自主节点传感器:绿色与射频能量收集
2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2021-06-07 DOI: 10.1109/DTS52014.2021.9498247
Bilel Maamer, Nesrine Jaziri, S. Kaziz, F. Tounsi
{"title":"Towards Autonomous Node Sensors: Green Versus RF Energy Harvesting","authors":"Bilel Maamer, Nesrine Jaziri, S. Kaziz, F. Tounsi","doi":"10.1109/DTS52014.2021.9498247","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498247","url":null,"abstract":"Several researchers are working on the development of new power methods to replace batteries. For low power embedded systems, such as sensors node (or mote), many novel technics have been investigated to create autonomous sensors that incorporate different power sources, more sustainable and ecological. The two main principal alternatives to batteries pass by harvesting power from green energy sources or Radio-frequency (RF) radiations. Energy harvesting consists of extracting electrical energy from ambient energy sources. RF energy is a different form of energy that can be found in an ambient environment or can be used for wireless power transfer. This paper will present and compare these two approaches to design autonomous node sensors, in addition to exposing the various existing solutions.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115222540","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}
引用次数: 2
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