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Parking Location Control Algorithm for Self-Driving Cars
Shahroz Tariq(샤로즈 타리크),Heemin Park(박희민) 한국정보과학회 2016 정보과학회 컴퓨팅의 실제 논문지 Vol.22 No.12
본 논문에서는 가까운 미래에 접하게 될 무인 자율 주행 차량의 주차장에서의 주차 방법과 알고리즘에 대해 살펴보았다. 가장 가까운 주차 장소는 어디이며 어떤 경로를 통해 그 위치로 이동할 것인가 등이 자율주행 차량의 주차를 위한 정보일 것이다. 자율주행 차량의 주차에 적합한 주차장의 구조와 형태를 알아내는 것도 중요한 문제점이 될 것이다. 본 논문에서는 주차장을 그래프로 모델링한 후 중앙제어 시스템을 통해 각 자율주행 차량이 근접한 주차장소로 이동할 수 있도록 안내하는 초기 해결 방법을 제시한다. 몇 가지 구조의 주차장을 모델링한 실험을 통해 본 논문에서 제안한 초기 해결방법이 자율주행차량 주차에 효과적인 안내 시스템이 될 수 있음을 확인하였다. With the advent of autonomous cars, we explored the problems which will soon arise while parking in car parks. These include structure of parking lot suitable for autonomous cars, finding the closest parking slot available, and navigation to the location. We provide an initial solution, wherein we use a central server and the graph of the parking lot to guide cars to the closest parking slots available. Our experiments have shown that the proposed method is effective for the controlled parking for self-driving cars.
Intelligent Lighting Control using Wireless Sensor Networks for Media Production
( Heemin Park ),( Jeff Burke ),( Mani B. Srivastava ) 한국인터넷정보학회 2009 KSII Transactions on Internet and Information Syst Vol.3 No.5
We present the design and implementation of a unique sensing and actuation application -- the Illuminator: a sensor network-based intelligent light control system for entertainment and media production. Unlike most sensor network applications, which focus on sensing alone, a distinctive aspect of the Illuminator is that it closes the loop from light sensing to lighting control. We describe the Illuminator`s design requirements, system architecture, algorithms, implementation and experimental results. The system uses the Illumimote, a multi-modal and high fidelity light sensor module well-suited for wireless sensor networks, to satisfy the high-performance light sensing requirements of entertainment and media production applications. The Illuminator system is a toolset to characterize the illumination profile of a deployed set of fixed position lights, generate desired lighting effects for moving targets (actors, scenic elements, etc.) based on user constraints expressed in a formal language, and to assist in the set up of lights to achieve the same illumination profile in multiple venues. After characterizing deployed lights, the Illuminator computes optimal light settings at run-time to achieve a user-specified actuation profile, using an optimization framework based on a genetic algorithm. Uniquely, it can use deployed sensors to incorporate changing ambient lighting conditions and moving targets into actuation. Experimental results demonstrate that the Illuminator handles various high-level user requirements and generates an optimal light actuation profile. These results suggest that the Illuminator system supports entertainment and media production applications.
Orthoester in Cyclodehydration of Carbamate-Protected Amino Alcohols under Acidic Conditions
Park, Heemin,Kwon, Yongseok,Shin, Jae,Kim, Woo-Jung,Hwang, Soonho,Lee, Seokwoo,Kim, Sanghee Georg Thieme Verlag KG 2017 Synthesis Vol.49 No.12
<P>The first acid-promoted reaction system to form azaheterocycles from N-carbamate-protected amino alcohols is described. The reaction involves the activation of the hydroxyl group via the use of orthoesters. Despite the reduced nucleophilicity of carbamate nitrogen, this reaction system provides several types of pyrrolidines and piperidines in good to high yields. Using this protocol, prolinol derivatives can also be synthesized from carbamate-protected amino diols with regio- and stereoselectivity.</P>
Efficient Task Assignment Scheme in Wireless Sensor Networks via Task Decomposition
박희민(Heemin Park) 한국정보과학회 2012 정보과학회 컴퓨팅의 실제 논문지 Vol.18 No.2
센서네트워크의 에너지 소비는 태스크를 네트워크 전체에서 어떤 센서 노드에 할당하느냐가 크게 좌우한다. 본 논문에서는 태스크 분해와 변환을 이용하여 무선 센서네트워크의 성능을 향상시키기 위한 태스크 할당 기법에 대해 기술한다. 태스크 분해 및 변환을 동시에 표현하는 비용 함수를 제시하고 이를 이용하여 태스크 할당 문제를 최적화 문제로 수식화한다. 본 논문에서 제시한 기법의 실효성과 실현가능성을 증명하기 위하여 가상 어닐링(simulated annealing) 기술을 이용하여 태스크 할당 기법을 구현하였다. 실험 결과를 통해 신중한 태스크 할당과 태스크 분해를 이용하면 무선 센서네트워크의 성능을 크게 향상 시킬 수 있음을 확인하였다. The energy consumption of a sensor network is significantly affected by task assignments to the nodes in the network. In this paper, a task assignment method to extend the lifetime of wireless sensor networks is presented that exploits task decomposition and transformation. The task assignment is formulated as an optimization problem by providing a cost function incorporating the task decomposition and transformation at the same time. To show the validity and feasibility of our proposed method, we implement a task assignment framework using a simulated annealing approach. The simulation results show that optimal assignments and task decomposition can significantly improve the lifetime of wireless sensor networks.