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2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)最新文献

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A Feasibility Study of Digital Beamforming for 5G mmWave Massive MIMO Base Station Receivers 5G毫米波海量MIMO基站接收机数字波束形成可行性研究
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585525
Z. Nemes, D. Morche, S. L. Tual, M. Ortmanns
{"title":"A Feasibility Study of Digital Beamforming for 5G mmWave Massive MIMO Base Station Receivers","authors":"Z. Nemes, D. Morche, S. L. Tual, M. Ortmanns","doi":"10.1109/NEWCAS.2018.8585525","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585525","url":null,"abstract":"The future 5G network is promising a performance increase by a factor of 100 to 1000 compared to the previous generation. The foreseen technical solutions to provide this gain are multiple. One of them is to use the large available or under-utilized spectrum in the millimeter wave domain combined with large antenna array beamforming systems in a dense deployment of small cells, the so called massive MIMO. Many previous works have performed system analysis evaluating the performances of the three different architectures, analog, hybrid and digital beamforming, and the impact of design parameters. In this work, in order to evaluate the feasibility of DBF, we propose a simplified methodology to derive, from the 5G key performance indicators, a circuit level specification for such systems. In particular the proposed method takes into consideration, in the presence of strong out of band interferers (OoBI), the impact of the Rx nonlinearity and the local oscillator noise floor. The OoBIs power level is evaluated based on a multiple operator scenario. The resulting specifications were compared to the state of the art to perform a power consumption evaluation and demonstrate the feasibility of digital architectures.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117316912","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 photovoltaic mode pixel Embedding energy harvesting capability For future self-powered image sensors 一种光伏模式像素嵌入能量收集能力，用于未来的自供电图像传感器
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585561
A. Nogier, G. Sicard, A. Peizerat
{"title":"A photovoltaic mode pixel Embedding energy harvesting capability For future self-powered image sensors","authors":"A. Nogier, G. Sicard, A. Peizerat","doi":"10.1109/NEWCAS.2018.8585561","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585561","url":null,"abstract":"In this paper, a new architecture of a photovoltaic mode pixel is presented. This pixel array embeds the capability to continuously harvest solar energy thanks to its photovoltaic mode of operation while one pixel row is in an imaging configuration. A small 4x20 pixel matrix has been designed and tested to demonstrate the ultra-low power imaging capability of the pixel and also its harvesting capability. Experimental results show that this pixel is paving the way to an autonomous and self-powered image sensor working under realistic light condition (few klux).","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132740214","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
RF CMOS all inversion region design based on gm/ID: the non-linear case of an envelope detector 基于gm/ID的RF CMOS全反转区设计:包络检测器的非线性情况
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585483
L. Reyes, F. Silveira
{"title":"RF CMOS all inversion region design based on gm/ID: the non-linear case of an envelope detector","authors":"L. Reyes, F. Silveira","doi":"10.1109/NEWCAS.2018.8585483","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585483","url":null,"abstract":"All inversion region CMOS design and the gm/ID method have been previously applied to achieve optimized RF CMOS designs for circuits, such as an LNA, with performance determined by the linearized, small signal, parameters of the transistor. In this work we show that this approach is very useful also in the case of an envelope detector, whose operation is based on the second order non-linear behavior of the transistor (determined by the second derivative of the current vs. voltage characteristic). A semi-empirical, look-up table based, model of the MOS transistor is applied. Through it, it is determined the inversion level (directly related to the gms/ID ratio) where the conversion gain is maximized. A novel figure of merit that only depends on the inversion level is proposed to aid the design. The predictions are verified against measurements results, both at the transistor and circuit level. The considered circuit is a MOS Envelope Detector with on-chip matching network for 2.4GHz in 0.13 m CMOS technology.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130934477","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
Demonstration of 2D Optical Imaging Using Photosystem I Photosensor Platform with 3232 CMOS Biosensor Array 基于3232 CMOS生物传感器阵列的光敏平台的二维光学成像演示
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585603
K. Niitsu, T. Sakabe, M. Miyachi, Y. Yamanoi, H. Nishihara, T. Tomo, K. Nakazato
{"title":"Demonstration of 2D Optical Imaging Using Photosystem I Photosensor Platform with 3232 CMOS Biosensor Array","authors":"K. Niitsu, T. Sakabe, M. Miyachi, Y. Yamanoi, H. Nishihara, T. Tomo, K. Nakazato","doi":"10.1109/NEWCAS.2018.8585603","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585603","url":null,"abstract":"This paper presents 2D imaging using photo sensor platform with a newly-proposed large-scale CMOS bio sensor array in 0.6- μ standard CMOS. The platform combines photo system I (PSI) isolated from Thermosynechococcus elongatus and a large-scale CMOS bio sensor array. PSI converts the absorbed photons into electrons, which are then sensed by the CMOS bio sensor array. The prototyped photo sensor enables CMOS-based 2D imaging using PSI for the first time.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115498069","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
Soft-decision LCC Decoder Architecture with n=4 for RS(255,239) RS(255,239) n=4的软判决LCC解码器结构
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585684
V. Torres, J. Valls-Coquillat, M. J. Canet, F. García-Herrero
{"title":"Soft-decision LCC Decoder Architecture with n=4 for RS(255,239)","authors":"V. Torres, J. Valls-Coquillat, M. J. Canet, F. García-Herrero","doi":"10.1109/NEWCAS.2018.8585684","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585684","url":null,"abstract":"In this work we present a novel architecture for a soft-decision Reed-Solomon LCC decoder. In our decoder the data sorted and stored in the Multiplicity Assignment stage are different from other authors’ work. We present architectures for the Syndrome Update and Symbol Modification blocks that are adapted to the proposed sorting stage. We present implementation results for ASIC and FPGA that show that this architecture can reach high performance and low latency when compared with similar decoders. For example, in ASIC, our decoder requires 40% less area than a specific state-of-the-art decoder, while still has 40% higher throughput and 0.07 dB coding gain over that decoder.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114586985","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
Area-Aware Design of Static CMOS Complex Gates 静态CMOS复杂门的面积感知设计
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585570
M. Cardoso, G. Smaniotto, Andrei A. O. Bubolz, L. Rosa, F. Marques
{"title":"Area-Aware Design of Static CMOS Complex Gates","authors":"M. Cardoso, G. Smaniotto, Andrei A. O. Bubolz, L. Rosa, F. Marques","doi":"10.1109/NEWCAS.2018.8585570","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585570","url":null,"abstract":"Concerning the digital VLSI design, recent papers have pointed several optimizations in circuits composed of Static CMOS Complex Gates when compared to the widely applied standard cell library project based. In this scenario, one of the major steps in the complex gate design is the transistor network generation, responsible for delivering the specialized logic arrangement that implements the desired Boolean function. The methodologies that perform this task typically aims to obtain solutions with a fewer number of transistors, since it potentially produces optimized circuits. In this paper we analyze the impact in the layout area of non-planar circuits obtained through the state of the art transistor network generation methodology, proposing a new approach for the logic design of these specific cells. The results have shown that our method, even producing versions with a larger number of transistors, can achieve geometrical optimizations when compared to the complex gate cells generated under the state of the art methodology.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131066165","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
Deep Convolutional Bidirectional LSTM Recurrent Neural Network for Epileptic Seizure Detection 用于癫痫发作检测的深度卷积双向LSTM递归神经网络
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585542
Ahmed M. Abdelhameed, Hisham G. Daoud, M. Bayoumi
{"title":"Deep Convolutional Bidirectional LSTM Recurrent Neural Network for Epileptic Seizure Detection","authors":"Ahmed M. Abdelhameed, Hisham G. Daoud, M. Bayoumi","doi":"10.1109/NEWCAS.2018.8585542","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585542","url":null,"abstract":"Recording the brain electrical activities using Electroencephalogram (EEG) has become the most widely applied tool by physicians for the diagnosis of neurological disorders. In this paper, we propose an automatic epileptic seizure detection system based on raw EEG signals recordings. The proposed system uses a one-dimensional convolutional neural network (CNN) as a preprocessing front-end and a bidirectional long short-term memory (Bi-LSTM) recurrent neural network as a back-end. The system works efficiently on classifying raw EEG signals without the overhead of features extraction. Classification between normal and ictal cases has achieved a 100% accuracy. Using a simple data augmentation technique for the dataset, the classification result between the normal, interictal and ictal cases accomplished a 98.89% average overall accuracy. The evaluation of the proposed system is conducted using k-fold cross-validation to ensure its robustness.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881441","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: 42
Direct RF Sampling Avionics Architecture for future multi-system integrated Avionics 面向未来多系统集成航空电子设备的直接射频采样航空电子架构
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585695
A. Nguyen, A. Amrhar, R. Landry
{"title":"Direct RF Sampling Avionics Architecture for future multi-system integrated Avionics","authors":"A. Nguyen, A. Amrhar, R. Landry","doi":"10.1109/NEWCAS.2018.8585695","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585695","url":null,"abstract":"The gradual growth of civil air transportation has continuously increased the requirements for the RF avionics, naming just a few, better performance, higher security level, more efficient in Size, Weight, Power, and Cost (SWaP-C). As one of the most transparent answers for these requests, the application of Direct RF Sampling (DRFS) architecture in future modern avionics have been investigated, and positive results have been obtained and introduced for the preliminary VHF applications. In this work, the authors introduce the possibility of expanding this innovative DRFS avionics architecture for more applications, with the final purpose of achieving the optimum one platform-all avionics DRFS architecture. Based on the studies of the current technology level of the Analog/Digital Converters (ADC/DAC), this work will determine the minimum sampling rate for the DRFS architecture to cover as much as possible the complete avionics bands. In addition, different approaches for the all-avionics DRFS architecture will also be considered to make sure that the proposed architecture is feasible with the current technology limitations, compatible for multiple targets systems (small and private airplane, narrow and wide-body airplane, drones, etc.), and at the same time having the flexibility and configurability for the new demands of the future aviation industry.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123186652","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
Improved Energy Efficiency of Indoor Positioning Systems by Adaptive Sampling and Smart Post-processing of Sensor Data 利用传感器数据自适应采样和智能后处理提高室内定位系统的能效
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585429
Nizam Kuxdorf-Alkirata, O. Spathmann, Oliver Koch, D. Brückmann
{"title":"Improved Energy Efficiency of Indoor Positioning Systems by Adaptive Sampling and Smart Post-processing of Sensor Data","authors":"Nizam Kuxdorf-Alkirata, O. Spathmann, Oliver Koch, D. Brückmann","doi":"10.1109/NEWCAS.2018.8585429","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585429","url":null,"abstract":"In this paper, a method for minimizing power consumption of indoor positioning and tracking systems is proposed. Most Dead-Reckoning (DR) systems nowadays available are based on an Inertial Measurement Unit (IMU) operating at a relatively high sampling frequency of more than 100 Hz in order to track the typical human motion with a sufficient resolution. In this work, a method is proposed which allows to reduce the sampling frequency for sensor data by a factor of more than 10. The inaccuracies and fluctuations associated with the low sampling rate are compensated by applying a correction algorithm that takes the geometry of the underlying environment as well as the previous motion direction into account. A similar concept for sampling rate reduction and post-processing will also be applied to the data of an air pressure sensor. This sensor type can be used for movement detection in vertical direction. The adjustment of the sampling frequency is done adaptively based on the movement of the person subject to track. It will be shown that by using the proposed methods the accuracy of position tracking is comparable to that of an Indoor Positioning System (IPS) operating at 200 Hz whereas the data rate and therewith the power consumption is reduced by a factor of more than 10. This is verified by measurements using an experimental setup based on low-cost Bluetooth Low Energy (BLE) modules.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116128941","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
A Blood Glucose Level Prediction System Using Machine Learning Based on Recurrent Neural Network for Hypoglycemia Prevention 基于递归神经网络的血糖水平预测系统的低血糖预防
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Pub Date : 2018-06-01 DOI: 10.1109/NEWCAS.2018.8585468
Takuyoshi Doike, K. Hayashi, S. Arata, Karimadini Mohammad, A. Kobayashi, K. Niitsu
{"title":"A Blood Glucose Level Prediction System Using Machine Learning Based on Recurrent Neural Network for Hypoglycemia Prevention","authors":"Takuyoshi Doike, K. Hayashi, S. Arata, Karimadini Mohammad, A. Kobayashi, K. Niitsu","doi":"10.1109/NEWCAS.2018.8585468","DOIUrl":"https://doi.org/10.1109/NEWCAS.2018.8585468","url":null,"abstract":"A blood glucose level prediction system that uses machine learning with a recurrent neural network is presented, to prevents hypoglycemia. By introducing machine learning associated with a recurrent neural network, a high accuracy can be obtained with only a time-series of the blood glucose level. For verifying the proposed method, the system is evaluated from the following viewpoints: the alert frequency, the accuracy rate of the alerts, and the prediction of hypoglycemia after 30 min. The system is able to achieve a prediction accuracy of approximately 80%. In addition, the possibility of a further performance improvement by increasing the frequency of blood glucose measurement is verified. Finally, a method for optimizing the hyperparameters according to the operating period is presented.","PeriodicalId":112526,"journal":{"name":"2018 16th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121028946","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: 5
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