Pub Date : 2017-06-01DOI: 10.1109/IWASI.2017.7974257
Carmine Cappetta, G. Licciardo, L. D. Benedetto
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.
{"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}
Pub Date : 2017-06-01DOI: 10.1109/IWASI.2017.7974212
G. Gielen, Jorge Marin, E. Sacco
Sensors are increasingly used in many emerging application areas such as internet of things and autonomous driving. Integrated sensor interfaces offer the benefit of low cost and low power consumption. However, besides the nominal performance, also the drift as a function of temperature, supply and other variations is a key limitation to the precision of sensor interfaces. This paper presents drift mitigation techniques that can be applied to integrated sensor interfaces.
{"title":"Drift mitigation in integrated sensor interfaces","authors":"G. Gielen, Jorge Marin, E. Sacco","doi":"10.1109/IWASI.2017.7974212","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974212","url":null,"abstract":"Sensors are increasingly used in many emerging application areas such as internet of things and autonomous driving. Integrated sensor interfaces offer the benefit of low cost and low power consumption. However, besides the nominal performance, also the drift as a function of temperature, supply and other variations is a key limitation to the precision of sensor interfaces. This paper presents drift mitigation techniques that can be applied to integrated sensor interfaces.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"30 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":"116551400","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 : 2017-06-01DOI: 10.1109/IWASI.2017.7974254
P. Locatelli, D. Alimonti
Essential tremor is the most common form of tremors presenting an outpatient neurology practice and yet it may be often difficult to differentiate with tremors in Parkinson's disease — one of the commonest neurodegenerative disease. Since using appropriate medication is fundamental for efficacy and avoiding serious side effects, precise diagnoses are recommended. Single photon emission computerized tomography (SPECT) of the dopamine transporter (DAT) is a sensitive and specific imaging tool, but expensive and not advisable as screening means. Wearable devices are developing such effective and affordable supports for clinicians. This work aims to be a pilot study of future tremor classification. A low-cost miniaturized wearable device was exploited to collect movements of subject's hand during resting, postural and kinetic tasks. Data were analyzed to extract parameters describing tremors frequency distribution. Results confirm that PD and ET are well separated in the frequency domain, laying the basis for accurate classification.
{"title":"Differentiating essential tremor and Parkinson's disease using a wearable sensor — A pilot study","authors":"P. Locatelli, D. Alimonti","doi":"10.1109/IWASI.2017.7974254","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974254","url":null,"abstract":"Essential tremor is the most common form of tremors presenting an outpatient neurology practice and yet it may be often difficult to differentiate with tremors in Parkinson's disease — one of the commonest neurodegenerative disease. Since using appropriate medication is fundamental for efficacy and avoiding serious side effects, precise diagnoses are recommended. Single photon emission computerized tomography (SPECT) of the dopamine transporter (DAT) is a sensitive and specific imaging tool, but expensive and not advisable as screening means. Wearable devices are developing such effective and affordable supports for clinicians. This work aims to be a pilot study of future tremor classification. A low-cost miniaturized wearable device was exploited to collect movements of subject's hand during resting, postural and kinetic tasks. Data were analyzed to extract parameters describing tremors frequency distribution. Results confirm that PD and ET are well separated in the frequency domain, laying the basis for accurate classification.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"8 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":"121808129","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 : 2017-06-01DOI: 10.1109/IWASI.2017.7974223
F. Ciciriello, F. Corsi, G. Robertis, G. Felici, F. Loddo, C. Marzocca, G. Matarrese, A. Ranieri
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.
{"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}
Pub Date : 2017-06-01DOI: 10.1109/IWASI.2017.7974235
Sebastian Preidank, M. Detert, Soren Hirsch
This paper introduces a new approach to detect multiple inputs for touchless human machine interfaces. It is based on optical proximity sensing with visible or infrared light. It is described the principle of modulation, demodulation and system design. In the last part, some applications are presented to use this approach. The approach is based on multiple modulated light sources. The modulation is a form of direct sequence spread spectrum technique. One main advantage of the design is, that only one receiver is needed to detect multiple inputs. This held the system cost low.
{"title":"Multitouch touchless — A new approach with optical proximity sensing","authors":"Sebastian Preidank, M. Detert, Soren Hirsch","doi":"10.1109/IWASI.2017.7974235","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974235","url":null,"abstract":"This paper introduces a new approach to detect multiple inputs for touchless human machine interfaces. It is based on optical proximity sensing with visible or infrared light. It is described the principle of modulation, demodulation and system design. In the last part, some applications are presented to use this approach. The approach is based on multiple modulated light sources. The modulation is a form of direct sequence spread spectrum technique. One main advantage of the design is, that only one receiver is needed to detect multiple inputs. This held the system cost low.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"55 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":"131176844","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 : 2017-06-01DOI: 10.1109/IWASI.2017.7974239
L. Benini
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.
{"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}
Domenico Balsamo, Ali Elboreini, B. Al-Hashimi, G. Merrett
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.
{"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}
Pub Date : 2017-06-01DOI: 10.1109/IWASI.2017.7974227
D. Abbaneo
The High-Luminosity program of the LHC poses unprecedented challenges for the tracking systems of ATLAS and CMS in terms of radiation tolerance and instantaneous particle rates. Thanks to use of advanced technologies and novel solutions, the future trackers are expected to meet those requirements, along with improved tracking performance and important additional functionalities. In parallel with the development of the next trackers, R&D is continuing to prepare the ground for further novelties beyond the HL-LHC era.
{"title":"Frontier tracking detectors for HL-LHC","authors":"D. Abbaneo","doi":"10.1109/IWASI.2017.7974227","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974227","url":null,"abstract":"The High-Luminosity program of the LHC poses unprecedented challenges for the tracking systems of ATLAS and CMS in terms of radiation tolerance and instantaneous particle rates. Thanks to use of advanced technologies and novel solutions, the future trackers are expected to meet those requirements, along with improved tracking performance and important additional functionalities. In parallel with the development of the next trackers, R&D is continuing to prepare the ground for further novelties beyond the HL-LHC era.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"25 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":"121629953","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 : 2017-06-01DOI: 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
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.
{"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}
Pub Date : 2017-06-01DOI: 10.1109/IWASI.2017.7974221
G. Fiorenza
Silicon pixel detectors are used as the inner tracking system in many High Energy Physics experiments providing precise tracking information in the regions close to the interaction point. The upgrade of the ALICE Inner Tracking System, to be installed during the second long shutdown of the CERN LHC, is one of the pillars of the ALICE upgrade programme. In this contribution the development of the basic functional module of the detector, referred to as the Hybrid Integrated Circuits (HIC), will be presented.
{"title":"Development of the pixel module for the upgrade of the ALICE Inner Tracking System","authors":"G. Fiorenza","doi":"10.1109/IWASI.2017.7974221","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974221","url":null,"abstract":"Silicon pixel detectors are used as the inner tracking system in many High Energy Physics experiments providing precise tracking information in the regions close to the interaction point. The upgrade of the ALICE Inner Tracking System, to be installed during the second long shutdown of the CERN LHC, is one of the pillars of the ALICE upgrade programme. In this contribution the development of the basic functional module of the detector, referred to as the Hybrid Integrated Circuits (HIC), will be presented.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"76 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":"122792747","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：