|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Charge-recovery computing on silicon显示文摘 | Suhwan Kim Ziesler C H Papaefthymiou M C | 2005 | IEEE Transactions on Computers2005，54，6： | 1 |
| 2 | Performance Comparison of Target Localization for Active Sonar Sys- tems显示文摘 | Suhwan K Bonhwa K Wooyoung H | 2008 | IEEE Transaction on Aerospace & Electronic Systems2008，44，4： | 1 |
| 3 | Performance Comparison of Target Localization for Active Sonar Systems显示文摘 | Suhwan K Bonhwa K Wooyoung H | 2008 | IEEE Transactions on Aerospace and Electronic Systems2008，44，4： | 1 |
| 4 | Charge-Recovery Computing on Silicon 显示文摘 | Suhwan Kim Conrad H Ziesler | 2005 | IEEE Transactions on Computer2005，54，6： | 1 |
| 5 | Corrigendum to “Development and characterization of a colon PDX model that reproduces drug responsiveness and the mutation profiles of its original tumor” [Cancer Lett. 345 (1) (2014) 56–64]显示文摘 | Hyang Sook Seol Hyo Jeong Kang Seul-I. Lee Na Eun Kim Tae Im Kim Sung Min Chun Tae Won Kim Chang Sik Yu Young-Ah Suh Shree Ram Singh Suhwan Chang Se Jin Jang | 2014 | Cancer Letters2014，，： | 1 |
| 6 | On the optimal deployment of direction finders 显示文摘 | Suhwan K Wilhelm W E | 2014 | IEEE Transactions on Automa- tion Science and Engineering2014，11，2： | 1 |
| 7 | An integrative model for knowledge sharing in communities-of-practice显示文摘 | SUHWAN JEON YOUNG-GUL KIM JOON KOH | | 0，，02： | 1 |
| 8 | A High-Speed Range-Matching TCAM for Storage-Efficient Packet Classification显示文摘 | Young Deok Kim Hyun Seok Ahn Suhwan Kim | 2009 | IEEE Trans2009，56，： | 1 |
| 9 | An inte- grative model for knowledge sharing in communi- ties-of-practice显示文摘 | Suhwan Jeon Young-Gul Kim and Joon Koh | 2011 | Journal of Knowledge Manage- ment2011，15，2： | 1 |
| 10 | Charge-recovery computing on silicon显示文摘 | Suhwan Kim Ziesler C H Papaefthymiou M C | 2005 | IEEE Transactions on Computers2005，54，6： | 1 |
| 11 | Cluster-Based Stable BSM Dissemination System for Safe Autonomous Platooning显示文摘Recently,the importance of vehicle safety supporting system has been highlighted as autonomous driving and platooning has attracted the researchers.To ensure driving safety,each vehicle must broadcast a basic safety message(BSM)every 100 ms.However,stable BSM exchange is difficult because of the changing environment and limited bandwidth of vehicular wireless communication.The increasing number of vehicles on the road increases the competition to access wireless networks for BSM exchange;this increases the packet collision rate.An increased packet collision rate impairs the transmission and reception of BSM information,which can easily cause a traffic accident.We propose a solution,the vehicular safety support system(V3S),which exchanges BSMs reliably even when many vehicles are on the road.The V3S uses a clustering scheme to decrease network traffic by reducing the amount of data exchanged between a vehicle and the roadside unit(RSU).In addition,the V3S reduces the collision rate of wireless network packets by broadcasting the vehicle’s BSM in an allocated timeslot using the time division multiple access(TDMA)MAC protocol.The V3S also deals with insufficient bandwidth for dedicated short-range communications(DSRC)by changing DSRC channels according to traffic flow.In evaluating the packet error rate for stable BSM packet delivery,the V3S demonstrates an excellent packet error rate of less than 1%,compared to the 802.11p with its packet error rate of 82%. | Jaehwan Lee Suhwan Kwak Seungwoo Park Sangoh Park | 2022 | Computers, Materials & Continua2022，，4： | 1 |
| 12 | Task Offloading Based on Vehicular Edge Computing for Autonomous Platooning显示文摘Autonomous platooning technology is regarded as one of the promising technologies for the future and the research is conducted actively.The autonomous platooning task generally requires highly complex computations so it is difficult to process only with the vehicle’s processing units.To solve this problem,there are many studies on task offloading technique which transfers complex tasks to their neighboring vehicles or computation nodes.However,the existing task offloading techniques which mainly use learning-based algorithms are difficult to respond to the real-time changing road environment due to their complexity.They are also challenging to process computation tasks within 100 ms which is the time limit for driving safety.In this paper,we propose a novel offloading scheme that can support autonomous platooning tasks being processed within the limit and ensure driving safety.The proposed scheme can handle computation tasks by considering the communication bandwidth,delay,and amount of computation.We also conduct simulations in the highway environment to evaluate the existing scheme and the proposed scheme.The result shows that our proposed scheme improves the utilization of nearby computing nodes,and the offloading tasks can be processed within the time for driving safety. | Sanghyuck Nam Suhwan Kwak Jaehwan Lee Sangoh Park | 2023 | Computer Systems Science & Engineering2023，46，7： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员