• ETRI Journal
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• 제37권4호
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• pp.743-751
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• 2015

Cloud gaming services are heavily dependent on the efficiency of real-time video streaming technology owing to the limited bandwidths of wire or wireless networks through which consecutive frame images are delivered to gamers. Video compression algorithms typically take advantage of similarities among video frame images or in a single video frame image. This paper presents a method for computing and extracting both graphics information and an object's boundary from consecutive frame images of a game application. The method will allow video compression algorithms to determine the positions and sizes of similar image blocks, which in turn, will help achieve better video compression ratios. The proposed method can be easily implemented using function call interception, a programmable graphics pipeline, and off-screen rendering. It is implemented using the most widely used Direct3D API and applied to a well-known sample application to verify its feasibility and analyze its performance. The proposed method computes various kinds of graphics information with minimal overhead.

• 한국컴퓨터정보학회논문지
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• 제13권2호
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• pp.243-250
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• 2008

최근 슬램 알고리즘의 실현을 통해 주변 환경에 대한 맵 정보가 획득 가능할 경우에 격자 그리드 기반의 Boustrophedon 경로 기반 커버리지 알고리즘이 매우 효율적인 것으로 알려져 있다. 그러나 Boustrophedon 경로 기반 알고리즘은실내 공간에 장애물이 복잡하게 존재할 경우에는 급격히 성능 저하현상이 발생한다. 따라서 본 논문에서는 복잡한 실내 공간에서도 효율적으로 빠른 시간 내에 청소를 완료할 수 있는 Group-k 알고리즘을 제안하고 구현한다. Group-k 알고리즘은 전체 공간을 장애물의 복잡성에 근거하여 전체 공간을 그룹화하고 각 그룹별 우선순위를 부여하여 전체 작업 순서를 효율적으로 제어한다. 구현 기반의 실험에 의하면, 본 논문에서 제안된 알고리즘은 Boustrophedon 경로 기반 알고리즘에 비해 약 20%의 성능 향상을 보여준다.

• 한국군사과학기술학회지
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• 제19권2호
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• pp.252-260
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• 2016

Unlike terrestrial transportation, marine transportation should consider environment factors in order to optimize path planning. This is because, ship's path planning is greatly influenced by real-time ocean environment-sea currents, wave and wind. Therefore, in this study, we suggest a ship path planning algorithm based on real-time ocean environment using not only $A^*$ algorithm but also path smoothing method. Moreover, in order to improve objective function value, we also consider ship's moving distance based on ship's location and real-time ocean environment data on grid map. The efficiency of the suggested algorithm is proved by comparing with $A^*$ algorithm only. This algorithm can be used as a reasonable automatics control system algorithm for unmaned ship.

• 로봇학회논문지
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• 제12권1호
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• pp.86-93
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• 2017

The Expanded Guide Circle (EGC) method has been originally proposed as the guidance navigation method for improving the efficiency of the remote operation using the sensory information. The previous algorithm is, however, concerned only for the omni-directional mobile robot, so it needs to suggest a suitable one for a mobile robot with non-holonomic constraints. The ego-kinematic transform is a method to map points of $R^2$ into the ego-kinematic space which implicitly represents non-holonomic constraints for admissible paths. Thus, robots with non-holonomic constraints in the ego-kinematic space can be considered as "free-flying object". In this paper, we propose an effective obstacle avoidance method for mobile robots with non-holonomic constraints by applying EGC method in the ego-kinematic space using the ego-kinematic transformation. This proposed method shows that it works better for non-holonomic mobile robots such as differential-drive robot than the original one. The simulation results show its effectiveness of performance.

• 한국자동차공학회논문집
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• 제23권3호
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• pp.326-335
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• 2015

In this paper, is a study that analyzed the fuel consumption of hybrid tractor. Testing and analysis in order to evaluate the fuel consumption was performed. Analysis model was developed by using the SimulationX that is a commercial software. Also, map of the analysis model was modeled on the basis of test data. Test was performed using a dynamo device. The engine was tested the fuel consumption in accordance with the conditions on the load and throttle opening. The battery was tested the discharge and charge in accordance with the current amount. We verified the reliability of the analysis model by comparing the analysis results with the rest results. After considering the reliability of each analysis model was extended to the entire hybrid tractor system. To evaluate the efficiency using the analysis model, compared the fuel consumption of general tractor with hybrid tractor in the same load conditions.

• 정보처리학회논문지A
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• 제9A권1호
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• pp.105-112
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• 2002

본 논문은 지리학습의 시각 및 공간의 학습효과를 향상시키기 위해 지리정보시스템 기반의 코스웨어를 개발하는데 목적을 둔다. 기존의 코스웨어는 학습자에게 단순히 텍스트나 이미지와 같은 시각적인 정보만을 제공하기 위해 학습자의 학습의욕을 제어할 수 있도록 했다. 이러한 코스웨어를 본 논문에서는 지리학습 시스템으로 정의한다. 본 지리학습시스템은 학습평가 후에 이루어지는 피드백을 통해 완전학습과 반복학습이 가능하다. 또한 학습자는 구현한 지리학습 응용모듈을 이용하여 직접적인 학습참여와 웹사이트에서의 정보검색이 가능하다.

• The Plant Pathology Journal
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• 제17권2호
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• pp.67-70
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• 2001

Medicago truncatula is a diploid legume plant related to the forage crop alfalfa. Recently, it has been chosen as a model species for genomic studies due to its small genome, self-fertility, short generation time, and high transformation efficiency. M. truncatula engages in symbiosis with nitrogen-fixing soil bacterium Rhizobium meliloti. M. truncatula mutants that are defective in nodulation and developmental processes have been generated. Some of these mutants exhibited altered phenotypes in symbiotic responses such as root hair deformation, expression of nodulin genes, and calcium spiking. Thus, the genes controlling these traits are likely to encode functions that are required for Nod-factor signal transduction pathways. To facilitate genome analysis and map-based cloning of symbiotic genes, a bacterial artificial chromosome library was constructed. An efficient polymerase chain reaction-based screening of the library was devised to fasten physical mapping of specific genomic regions. As a genomics approach, comparative mapping revealed high levels of macro- and microsynteny between M. truncatula and other legume genomes. Expressed sequence tags and microarray profiles reflecting the genetic and biochemical events associated with the development and environmental interactions of M. truncatula are assembled in the databases. Together, these genomics programs will help enrich our understanding of the legume biology.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1310-1319
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• 2016

Face detection is the first step in a wide range of face applications. However, detecting faces in the wild is still a challenging task due to the wide range of variations in pose, scale, and occlusions. Recently, many deep learning methods have been proposed for face detection. However, further improvements are required in the wild. Another important issue to be considered in the face detection is the computational complexity. Current state-of-the-art deep learning methods require a large number of patches to deal with varying scales and the arbitrary image sizes, which result in an increased computational complexity. To reduce the complexity while achieving better detection accuracy, we propose a fully convolutional network-based face detection that can take arbitrarily-sized input and produce feature maps (heat maps) corresponding to the input image size. To deal with the various face scales, a multi-scale network architecture that utilizes the facial components when learning the feature maps is proposed. On top of it, we design multi-task learning technique to improve detection performance. Extensive experiments have been conducted on the FDDB dataset. The experimental results show that the proposed method outperforms state-of-the-art methods with the accuracy of 82.33% at 517 false alarms, while improving computational efficiency significantly.

• 드라이브 ㆍ 컨트롤
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• 제14권4호
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• pp.29-36
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• 2017

Electronic control technologies that have long been developed for passenger cars spread to construction equipment and agricultural vehicles because of its outstanding performance achieved by embedded software. Especially, system program of transmission control unit (TCU) plays a crucial role for the superb shift quality, driving performance and fuel efficiency, etc. Since the control algorithm is embedded in software that is rarely analyzed, development of such a TCU cannot be conducted by conventional reverse engineering. Transmission simulator is a kind of electronic device that simulates the electric signals including driver operation command and output of various sensors installed in transmission. Standalone TCU can be run in normal operation mode with the signals provided by transmission simulator. In this research, transmission simulator for the tracked vehicle TCU is developed for the analysis of shift control algorithm from the experiments with standalone TCU. It was confirmed that shift experimental data for the simulator setup conditions can be used for the analysis of control algorithms on proportional solenoid valves and shift map.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.915-916
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• 2014

사물 인터넷 시대에 들어서면서 센서 네트워크는 더욱 주목을 받고 있다. 라즈베리파이는 작고 기능이 많아 센서 네트워크로 사용 시 인터넷 프로토콜을 사용하여 센서 노드로 동작이 가능하며, 하둡 클러스터 네트워크 구성이 가능하다. 본 논문에서는 5대의 라즈베리파이를 사용하여 실험적인 하둡 센서 네트워크 테스트베드 상의 5개의 노드를 가진 맵리듀스 하둡 소프트웨어 프레임워크를 구성하였다. 다양한 파라미터를 변경해가면서 네트워크 아키텍쳐를 분석하여 효율성, 자원분배, 처리속도를 비교하였다. 테스트 워크로드로는 지지벡터머신 기계학습을 사용하였고, 실험 결과 라즈베리파이는 센서 네트워크 노드로서 위치측정을 위한 분산 컴퓨팅 노드의 역할을 충분히 수행하였다.