M. Vafaiee, Majid Jalili, R. Sabbaghi‐Nadooshan, H. Sarbazi-Azad
{"title":"An efficient on-chip network with packet compression capability","authors":"M. Vafaiee, Majid Jalili, R. Sabbaghi‐Nadooshan, H. Sarbazi-Azad","doi":"10.1109/ISOCC.2016.7799766","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799766","url":null,"abstract":"In order to reduce inter-core data communication load, increase effective bandwidth, reduce storage space and power consumption, various solutions have been suggested for on-chip networks. The aim of this study is to employ data compression for the packets delivered between cores over the inter-core on-chip network. The packets transferring the cache lines between cores are compressed before transmission. We use a full-system simulator to evaluate and compare different systems that employ different compression methods.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125378963","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}
{"title":"Design of NFC transceiver for automotive applications","authors":"Yeong-Gyo Gim, Shiho Kim","doi":"10.1109/ISOCC.2016.7799791","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799791","url":null,"abstract":"We present a design and application of NFC (Near Field Communication) transceiver for the using an inductive powered receiver to enable all type of NFC communication modes such as the passive, active, RW, and RFID modes. NFC technology has been ready massively adopted in the automotive applications. We proposed a system architecture of NFC Automotive Applications with Trused Execution Envinonment to enforce protection, confidentiality, integrity and access rights of the resources and data.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122423516","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}
{"title":"P-backtracking: A new scan chain diagnosis method with probability","authors":"Tae Hyun Kim, Hyunyul Lim, Sungho Kang","doi":"10.1109/ISOCC.2016.7799827","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799827","url":null,"abstract":"Scan chain architecture is a common and major DFT for SoCs. Scan chains must be flawless for reliable SoC test. If there is a fault in a scan chain, eliminating the fault and its cause is important for high yield of SoC. In this paper, a new scan chain diagnosis method, \"p-backtracking\", is proposed. This method uses only software to backtrack the logic circuit and calculates the probability of fault in scan chain. The experimental results using ISCAS'89 benchmark circuits show that p-backtracking can find single fault location with higher diagnosis accuracy and smaller diagnosis resolution compared to the conventional diagnosis methods.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122834737","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}
{"title":"Front collision warning based on vehicle detection using CNN","authors":"Junghwan Pyo, Jiwon Bang, Yongjin Jeong","doi":"10.1109/ISOCC.2016.7799842","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799842","url":null,"abstract":"Front Collision Warning(FCW) is a critical safety function of Advanced Driver Assistance System(ADAS). Recently, many researches related to FCW systems which use monocular camera image processing have been introduced. In this paper, we propose an FCW system for highway environment based on vehicle detection using Convolutional Neural Network(CNN) as a classifier. Adaptive Region-of-Interest(ROI) is set using lane detection to enhance speed and detection performance of the system. We measure the distance between our vehicle and the detected vehicle in front by calculating the ratio between the lane width of the position of the detected vehicle and our vehicle, respectively. Time-to-Collision(TTC) is used as a collision warning index. For FHD(1920×1080) black-box camera images taken in highway environment, the detection rate of the proposed CNN is 99.1%, and the execution time of the system is 19.8ms per frame.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114440211","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}
{"title":"Possibility verification of drone detection radar based on pseudo random binary sequence","authors":"Sung Jun Lee, J. Jung, B. Park","doi":"10.1109/ISOCC.2016.7799792","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799792","url":null,"abstract":"This paper presents the possibility verification of a drone detection radar based on pseudo random binary sequence (PRBS). It contains the design of a probing signal and resultant specifications of the radar, measurement setup using commercial signal generator/analyzer and antennas, and laboratory/outdoor measurements. Measurements in the 2 GHz band with 6 dBm transmit condition show the drone detection at the range over 100 m.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129810821","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}
Kristofor B. Gibson, Truong Q. Nguyen, Hannoh Yoon
{"title":"Improvements in parallel SIMD implementation of single image defogging","authors":"Kristofor B. Gibson, Truong Q. Nguyen, Hannoh Yoon","doi":"10.1109/ISOCC.2016.7799845","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799845","url":null,"abstract":"In our previous work, we showed how to employ a single image defogging method by using a parallel SIMD architecture on a System on Chips (SoC). In this work, owing to improvements of hardware, we provide an update to this implementation with more optimization steps. In this article we also present a fog detection capability by using a simple fog metric.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128992974","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}
{"title":"Resource-efficient FPGA architecture of Canny edge detector","authors":"Yunseok Jang, J. Mun, Jaeseok Kim","doi":"10.1109/ISOCC.2016.7799796","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799796","url":null,"abstract":"Edge detection is one of the key stages of image processing and feature extraction. The Canny edge detector is the most popular edge detector because of its ability to detect edges in noisy images. However, it is a time and resource consuming algorithm which contain many stages. So we need to reduce the size of the Canny edge detector. In this paper, a hardware architecture for Canny edge detector is proposed. A 5 by 5 sliding window is adopted to conduct image smoothing and get gradient at the same time. By using same divider value twice, the angular value for all edges with one degree resolution is obtained. Synthesis and simulation results are presented.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124680636","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}
Heetae Kim, Inhyuk Choi, Jaeil Lim, Hyunggoy Oh, Sungho Kang
{"title":"Process variation-aware bridge fault analysis","authors":"Heetae Kim, Inhyuk Choi, Jaeil Lim, Hyunggoy Oh, Sungho Kang","doi":"10.1109/ISOCC.2016.7799830","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799830","url":null,"abstract":"Bridge faults are important that cause a reliability concern. Since process variation affects the bridge faults, it should be considered for bridge fault analysis. This paper proposes a new analysis method for resistive bridge faults considering process variation. The proposed method analyzes defect coverage for resistive bridge faults by using circuit level modeling. The proposed method uses the lower level analysis and it reduces redundant test patterns for bridge test.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114633796","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}
{"title":"Automatic image deviation detection for AVM auto-calibration","authors":"Jiwon Bang, Junghwan Pyo, Yongjin Jeong","doi":"10.1109/ISOCC.2016.7799838","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799838","url":null,"abstract":"Around View Monitoring(AVM) images are widely used in Advanced Driver Assistance Systems(ADAS). In order to generate an AVM image, we need to obtain four coordinates from the front, left, right, and rear camera images installed to a vehicle to perform perspective transform. Two coordinates can be extracted from the car body and the other two can be extracted from lane end points of the images. However, due to external factors such as collision, drift, etc., the physical position or angle of the installed cameras may change. This leads to the corruption of the initially obtained coordinate's actual location inside the image. In this paper, we propose an AVM auto-calibration algorithm which uses automatic image deviation detection. We compare the current car body coordinates to the initially obtained car body coordinates for deviation detection. For four 640×480 input images, it takes 2400ms for deviation detection and 3875ms for the whole AVM auto-calibration algorithm at Intel i5 3.5GHz processor environment.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127690585","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}
{"title":"CAN FD controller for in-vehicle system","authors":"Jung Woo Shin, J. Oh, Sang Muk Lee, Seung Eun Lee","doi":"10.1109/ISOCC.2016.7799870","DOIUrl":"https://doi.org/10.1109/ISOCC.2016.7799870","url":null,"abstract":"In this paper, we propose a Controller Area Network with Flexible Data rate (CAN-FD) controller for communication network in automobile. The CAN FD is proper network protocol for in-vehicle and embedded communication which desires high reliability and data rate. We introduce our CAN FD controller which supports variable data length and faster data rate. The CAN FD controller receives data from virtual Electronic Control Unit (ECU) through Serial Peripheral Interface (SPI) and transmits the data to the system BUS. Our prototype has integrated along with processor for efficient control of the CAN FD communication.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125790245","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}