2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)最新文献_第4页

Optimal design of a Gabor filter for medical imaging applications 用于医学成像应用的Gabor滤波器的优化设计

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974257

Carmine Cappetta, G. Licciardo, L. D. Benedetto

{"title":"Optimal design of a Gabor filter for medical imaging applications","authors":"Carmine Cappetta, G. Licciardo, L. D. Benedetto","doi":"10.1109/IWASI.2017.7974257","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974257","url":null,"abstract":"The Gabor filter has gained an important agreement in multimedia processing and visual search applications for its good spatial frequency and position selectivity, notwithstanding its heavy computational load. For these reasons, Gabor filters find useful applications in the processing of medical images, aiming to enhance the original image and to overcome issues related to noise and artifacts. With the purpose to find the optimal design of a Gabor filter to be implemented in ASIC and FPGA platforms, in this work three architectures are presented, representing the best trade-offs for accuracy, area and power constraints. A comparative study among the proposed architectures in terms of allocation of the resources, power dissipation and timing performances is presented, which reveals useful for an informed choice depending on the particular application. The designs have been implemented on a FPGA-based ASIC prototyping system, which returns a maximum operating frequency of 172 MHz for the best case. Synthesis with 90nm CMOS standard cell returns a maximum frequency of 350 MHz. Therefore, the fastest architecture processes 83 and 168 Full-HD (1920×1080 pixels) frames-per-second, respectively for a FPGA and an ASIC implementation, which, to the best of our knowledge, is the current state-of-the-art.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132586122","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

Drift mitigation in integrated sensor interfaces 集成传感器接口中的漂移缓解

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974212

G. Gielen, Jorge Marin, E. Sacco

引用次数: 0

Differentiating essential tremor and Parkinson's disease using a wearable sensor — A pilot study 使用可穿戴传感器鉴别原发性震颤和帕金森病-一项初步研究

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974254

P. Locatelli, D. Alimonti

引用次数: 14

Design of a multi-channel read-out ASIC for Gas Electron Multiplier detectors 气体电子倍增探测器多通道读出专用集成电路的设计

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974223

F. Ciciriello, F. Corsi, G. Robertis, G. Felici, F. Loddo, C. Marzocca, G. Matarrese, A. Ranieri

{"title":"Design of a multi-channel read-out ASIC for Gas Electron Multiplier detectors","authors":"F. Ciciriello, F. Corsi, G. Robertis, G. Felici, F. Loddo, C. Marzocca, G. Matarrese, A. Ranieri","doi":"10.1109/IWASI.2017.7974223","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974223","url":null,"abstract":"A 32-channel ASIC has been designed and fabricated in a standard 0.35 μm CMOS technology for the read-out of Gas Electron Multiplier detectors to be used for beam monitoring in hadron therapy applications. Each analog channel is based on the classic CSA+shaper architecture, followed by a peak detector which works as an analog memory during the read-out phase. An analog multiplexer routes the outputs of the peak detectors towards an on-board 8-bit subranging ADC. The ASIC is self-triggered by a signal generated by fast-ORing the outputs of 32 voltage discriminators which compare the shaper outputs of the channels with a programmable threshold voltage. The chip includes also a digital part, which allows managing in autonomous way the read-out procedure, in sparse or serial mode, the A/D conversion and the configuration of the programmable features, via a standard SPI interface. A 100 Mbit/s LVDS serial link is used for data communication. Preliminary characterization results show that the non-linearity error is limited to 5% in a dynamic range of about 70 fC and the time jitter of the trigger signal, generated in response to an injected charge of 60 fC, is close to 200 ps.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122337844","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

Multitouch touchless — A new approach with optical proximity sensing 多点触控-一种光学接近传感的新方法

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974235

Sebastian Preidank, M. Detert, Soren Hirsch

引用次数: 3

Plenty of room at the bottom? Micropower deep learning for cognitive cyber physical systems 底部有足够的空间?认知网络物理系统的微功率深度学习

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974239

L. Benini

{"title":"Plenty of room at the bottom? Micropower deep learning for cognitive cyber physical systems","authors":"L. Benini","doi":"10.1109/IWASI.2017.7974239","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974239","url":null,"abstract":"Deep convolutional neural networks are being regarded today as an extremely effective and flexible approach for extracting actionable, high-level information from the wealth of raw data produced by a wide variety of sensory data sources. CNNs are however computationally demanding: today they typically run on GPU-accelerated compute servers or high-end embedded platforms. Industry and academia are racing to bring CNN inference (first) and training (next) within ever tighter power envelopes, while at the same time meeting real-time requirements. Recent results, including our PULP and ORIGAMI chips, demonstrate there is plenty of room at the bottom: pj/OP (GOPS/mW) computational efficiency, needed for deploying CNNs in the mobile/wearable scenario, is within reach. However, this is not enough: 1000x energy efficiency improvement, within a mW power envelope and with low-cost CMOS processes, is required for deploying CNNs in the most demanding CPS scenarios. The fj/OP milestone will require heterogeneous (3D) integration with ultra-efficient die-to-die communication, mixed-signal pre-processing, event-based approximate computing, while still meeting real-time requirements.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"73 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114090042","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: 6

Exploring ARM mbed support for transient computing in energy harvesting IoT systems 探索ARM mbed对能量收集物联网系统瞬态计算的支持

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.5258/SOTON/D0102

Domenico Balsamo, Ali Elboreini, B. Al-Hashimi, G. Merrett

{"title":"Exploring ARM mbed support for transient computing in energy harvesting IoT systems","authors":"Domenico Balsamo, Ali Elboreini, B. Al-Hashimi, G. Merrett","doi":"10.5258/SOTON/D0102","DOIUrl":"https://doi.org/10.5258/SOTON/D0102","url":null,"abstract":"Energy harvesters offer the possibility for embedded IoT computing systems to operate without batteries. However, their output power is usually unpredictable and highly variable. To mitigate the effect of this variability, systems incorporate large energy buffers, increasing their size, mass and cost. The emerging class of transient computing systems differs from this approach, operating directly from the energy harvesting source and minimizing or removing additional energy storage. Different transient computing approaches have been proposed which enable computation to be sustained despite power outages. However, existing approaches are largely designed for specific applications and architectures, and hence suffer from not being broadly applicable across multiple embedded IoT platforms. To address this challenge, transient approaches need to be integrated within a general IoT programming framework such as ARM's mbed IoT Device Platform. In this paper, we explore how state-of-art transient computing approaches can be integrated into mbed, increasing ease-to-use and deployment across different platforms. This support is offered through libraries and application programming interfaces (APIs) provided by the ARM mbed OS, which enable transient computing to be implemented as a service on top of IoT application protocols. We demonstrate the ability for a transient approach to operate effectively on mbed, by practically implementing it on a low-power NXP microcontroller (MCU) with Flash memory, operating from only 1 mF additional capacitance.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121464548","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: 13

Frontier tracking detectors for HL-LHC HL-LHC前沿跟踪探测器

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974227

D. Abbaneo

引用次数: 0

Development of a 16-channel matrix of photodetection sensors for medical imaging and astrophysical applications 用于医学成像和天体物理应用的16通道光探测传感器矩阵的开发

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974224

G. Ambrosi, M. Ambrosio, C. Aramo, E. Bissaldi, A. Boiano, C. Bonavolontà, C. D. Lisio, L. Venere, E. Fiandrini, N. Giglietto, F. Giordano, M. Ionica, F. Licciulli, S. Loporchio, V. Masone, M. Mongelli, R. Paoletti, V. Postolache, A. Rugliancich, V. Vagelli, M. Valentino

{"title":"Development of a 16-channel matrix of photodetection sensors for medical imaging and astrophysical applications","authors":"G. Ambrosi, M. Ambrosio, C. Aramo, E. Bissaldi, A. Boiano, C. Bonavolontà, C. D. Lisio, L. Venere, E. Fiandrini, N. Giglietto, F. Giordano, M. Ionica, F. Licciulli, S. Loporchio, V. Masone, M. Mongelli, R. Paoletti, V. Postolache, A. Rugliancich, V. Vagelli, M. Valentino","doi":"10.1109/IWASI.2017.7974224","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974224","url":null,"abstract":"Recen% developed near W-photosensors are currently adopted in those applications where high sensitivity and good imaging capabilities are required, especially in fields such as astroparticle physics and medical imaging. An example of such applications is the camera of the Schwarzschild Couder Medium Size Telescope prototype (pSCT) which is in construction within the Cherenkov Telescope Array experiment. The camera consists of 177 photo-detection modules grouped into sectors of 25 modules, each based on matrixes of 64 6mm × 6mm pixels of SiUcon PhotomultipUers (SiPMs). Sensors produced by the Fondazione Bruno Kessler (FBK) in Italy are currently under investigation. Here we present a complete characterization of these highly sensitive near UV sensors, the assembly procedure and metrology results on several focal plane elements.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123495912","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

Development of the pixel module for the upgrade of the ALICE Inner Tracking System 爱丽丝内部跟踪系统升级的像素模块的开发

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-01 DOI: 10.1109/IWASI.2017.7974221

G. Fiorenza

引用次数: 0