Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498193
Ahmed Gaddour, W. Dghais, B. Hamdi, M. Ali
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.
{"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}
Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498110
M. Moufid, C. Tiebe, N. El Bari, M. Bartholmai, B. Bouchikhi
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.
{"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}
Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498257
Ikbel Haouas, Mourad Moussa, A. Douik
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.
近几十年来，关于阿尔茨海默病(AD)的研究发表了许多。阿尔茨海默病是一种退行性脑部疾病;它会导致严重的记忆退化和严重的认知障碍。在缺乏治疗的情况下，寻找新的创新方法来预测这种疾病，对医生和计算机科学家来说都是一个挑战。在同样的背景下，我们在下面的文章中首先致力于开发在脑图像预处理中预测阿尔茨海默病的方法。我们在本文中详细介绍的分类方法是基于3D MRI脑图像，3D PET Florbetaben脑图像和3D PET Flortaucipir脑图像中的模糊逻辑。
{"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}
Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498232
A. Atitallah
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.
{"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}
Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498235
V. Elias, A. Rabih, S. Bin, H. Aziz, G. Nassar
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.
{"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}
Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498105
Erwin H. T. Shad, M. Molinas, T. Ytterdal
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.
{"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}
Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498247
Bilel Maamer, Nesrine Jaziri, S. Kaziz, F. Tounsi
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.
{"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}
Pub Date : 2021-06-07DOI: 10.1109/DTS52014.2021.9498255
H. Samaali, Mohamed Amin Ben Hassena, F. Najar
A novel design based on capacitors dedicated to the low power logic circuits and systems is presented in this work. This design is based on MEMS architectures and is intended to achieve binary logic functions for a better efficiency that by using solid-state transistors. The excessive feature of the proposed design is the use of only a single bit MEMS switch instead of many CMOS transistors in order to implement a logic gate, whether it is fundamental logic gate, AND, OR, or universal logic gates XOR, NAND, NOR. The proposed design consists of two symmetric capacitors. The capacitors are coupled mechanically but isolated electrically. A gap-closing input capacitor controls a gap-closing capacitor at the output. A compact and accurate electromechanical model has been developed. We demonstrate using electromechanical simulations the ability of the MEMS design for binary logic functions.
{"title":"Novel Capacitive MEMS Logic Gates For Logic Circuits and Systems","authors":"H. Samaali, Mohamed Amin Ben Hassena, F. Najar","doi":"10.1109/DTS52014.2021.9498255","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498255","url":null,"abstract":"A novel design based on capacitors dedicated to the low power logic circuits and systems is presented in this work. This design is based on MEMS architectures and is intended to achieve binary logic functions for a better efficiency that by using solid-state transistors. The excessive feature of the proposed design is the use of only a single bit MEMS switch instead of many CMOS transistors in order to implement a logic gate, whether it is fundamental logic gate, AND, OR, or universal logic gates XOR, NAND, NOR. The proposed design consists of two symmetric capacitors. The capacitors are coupled mechanically but isolated electrically. A gap-closing input capacitor controls a gap-closing capacitor at the output. A compact and accurate electromechanical model has been developed. We demonstrate using electromechanical simulations the ability of the MEMS design for binary logic functions.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"54 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":"123840366","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 : 2021-06-07DOI: 10.1109/DTS52014.2021.9498103
Aida Boudhaouia, P. Wira
This paper focuses on a comparison of machine learning algorithms for predicting the cumulative daily water consumption. The data are collected from an internet-based platform that provides usable data. A pre-processing has been designed for checking the integrity of data, i.e., detecting missing data and abnormal consumptions. In order to optimize the water uses in distribution networks, monitoring and forecasting consumption are good solutions. Five models, namely the Polynomial Regression (PR), Nonlinear AutoRegressive (NAR), Support Vector Regression (SVR), MultiLayer Perceptron (MLP) and Long Short-Term Memory (LSTM) are designed and compared to find the most accurate solution to forecast daily water consumption. The performance of these models is based on the Root Mean Square Error (RMSE) calculated from desired values. The water consumption for the next five days is predicted with no prior information but only centralized past measurements. Results show a predicting precision with NAR of about 5 and 23 l/day in respectively domestic and industrial installations where up to 1500 and 2700 l/day can be used.
{"title":"Comparison of machine learning algorithms to predict daily water consumptions","authors":"Aida Boudhaouia, P. Wira","doi":"10.1109/DTS52014.2021.9498103","DOIUrl":"https://doi.org/10.1109/DTS52014.2021.9498103","url":null,"abstract":"This paper focuses on a comparison of machine learning algorithms for predicting the cumulative daily water consumption. The data are collected from an internet-based platform that provides usable data. A pre-processing has been designed for checking the integrity of data, i.e., detecting missing data and abnormal consumptions. In order to optimize the water uses in distribution networks, monitoring and forecasting consumption are good solutions. Five models, namely the Polynomial Regression (PR), Nonlinear AutoRegressive (NAR), Support Vector Regression (SVR), MultiLayer Perceptron (MLP) and Long Short-Term Memory (LSTM) are designed and compared to find the most accurate solution to forecast daily water consumption. The performance of these models is based on the Root Mean Square Error (RMSE) calculated from desired values. The water consumption for the next five days is predicted with no prior information but only centralized past measurements. Results show a predicting precision with NAR of about 5 and 23 l/day in respectively domestic and industrial installations where up to 1500 and 2700 l/day can be used.","PeriodicalId":158426,"journal":{"name":"2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"28 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":"117038631","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 : 2021-06-07DOI: 10.1109/DTS52014.2021.9498196
Werda Imen, Belghith Fatma, Maraoui Amna, N. Masmoudi
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.
{"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}
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