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A Cross-Layer Strategy for Energy-Efficient Reliable Delivery in Wireless Sensor Networks
Kwon, Hojoong,Kim, Tae, Hyun,Choi, Sunghyun,Lee, Byeong, Gi IEEE 2006 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Vol.5 No.12
<P>In this paper, we investigate the problem of the lifetime maximization in wireless sensor networks under the constraint of end-to-end transmission success probability, by adopting a cross-layer strategy that considers physical layer (i.e., power control), MAC layer (i.e., retransmission control) and network layer (i.e., routing protocol) jointly. We decouple the problem into separate sub-problems of each layer and propose the optimal algorithm as well as an alternative heuristic algorithm with lower complexity for each sub-problem. We demonstrate through computer simulations that a trade-off relation exists between the network lifetime maximization and the reliability constraint, and the strategy that is designed by combining the proposed algorithm at each layer can significantly increase the network lifetime. We also investigate the effect of the retransmission control on the energy efficiency for different energy consumption models. Simulation results reveal that multiple retransmissions with low power yield little gain when the link distance is short and the power conversion efficiency of the amplifier increases with the transmission power</P>
Genetic Variations of Aspergillus fumigatus Clinical Isolates from Korea
Sunghyun Kim,Pan-Gon Ma,Young-Seok Park,Young-Bin Yu,Kyu Jam Hwang,Young Kwon Kim 대한의생명과학회 2017 Biomedical Science Letters Vol.23 No.3
Fungal infections by human pathogenic fungi are increasing globally in elderly, children and immune suppressed or deficient patients. Aspergillus fumigatus is one of the well-known pathogenic fungi and causes aspergilloses in human world widely. However, current identification and classification methods based on its phenotypic characteristics still have limitations. Therefore, currently, molecular biological tools using their DNA sequences are used for genotype identification and classification. In the present study, in order to analyze genetic variations of A. fumigatus clinical isolates, a total of six housekeeping genes were amplified by PCR using specific primer pairs and multi-locus sequence typing (MLST) assay. Results from phylogenetic tree analysis showed that most A. fumigatus strains (88.9%) from respiratory specimens were classified into cluster A and B, and approximately half of A. fumigatus strains (46%) from non-respiratory specimens were classified into cluster C and D. Although the sample size was limited, genetic characteristics of A. fumigatus clinical isolates according to their origins were very similar and well-correlated with other clinical data.
김성현(Sunghyun Kim),권기한(Kihan Kwon),민승재(Seungjae Min) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
To extend the driving range of electric vehicles, various studies to maximize the driving efficiency such as optimization of driving force distribution are performed. Because an electric vehicle can recover energy through regenerative braking, it can be optimized to minimize energy consumption. However, because braking is directly related to the safety, it is required to achieve stable braking by distributing torque to the front and rear wheels. The maximum torque of the motor may not satisfy the required braking force, so hydraulic braking force can be required. In this study, the regenerative braking force distribution is optimized within the range of securing the braking stability of the vehicle by considering ideal braking force distribution and ECE regulations for braking. Modeling and simulation of front and rear axle independently driven electric vehicles is carried out, and the driving force and braking force are optimized. It is designed to satisfy the required braking force by the regenerative braking of the motor and support of the mechanical braking when needed. Through the WLTP cycle simulation, it is confirmed that the SOC consumption is decreased compared with the braking force distribution based on the I-Curve.
조성현 ( Sunghyun Cho ),신민호 ( Min Ho Shin ),김기환 ( Kee Hwan Kim ),권호열 ( Ho Yeol Kwon ) 한국정보처리학회 2010 한국정보처리학회 학술대회논문집 Vol.17 No.2
최근 어플리케이션의 이용자 수가 크게 증가함에 따라 다양한 어플리케이션이 창출되고 있다. 본 논문에서는 그러한 어플리케이션 중에서 도난방지에 관한 어플리케이션에 대하여 서술하며, 그에 따른 iOS의 세부적 기능인 APNS와 GPS 및 가속센서를 이용한 도난 방지 어플리케이션을 구현하였다.