• 한국정보통신학회논문지
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• 제13권11호
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• pp.2251-2259
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• 2009

네트워크를 기반으로 하나의 클러스터가 4개의 카메라로 구성된 4개의 다중 클러스터로부터 2D 영상을 조합하여 3D 입체 영상을 생성하는 알고리즘 및 시스템을 제안한다. 제안하는 기법은 다중 클러스터 환경에서 동작하고 실시간 대용량의 데이터 처리로 인한 시스템의 부하를 분산시키기 위해 네트워크를 이용한 서버-클라이언트 구조를 가진다. 아울러 성능 향상을 고려해 JPEG 압축과 램 디스크 방식을 적용한다. 4채널 16개의 카메라로부터 입력되는 입력 영상에 대해서 이진화 영상을 구하고, Sobel 및 Prewitt 등의 에지 검출 알고리즘을 적용시킨 후 영상들 간의 시차를 구한 후에 3D 입체 영상을 생성한다. 성능 분석 결과, 클라이언트에서 서버로 전송하는 전송시간은 약 0.05초가 소요되며, 4채널 16개의 카메라로부터 2D 영상을 조합하여 3D 입체 영상을 생성하는 알고리즘에 소요되는 시간은 약 0.84초가 소요된다. 이를 통해 실시간으로 다시점 및 다중 클러스터 환경에서 3D 입체 영상을 생성하는 효율적인 시스템임을 확인할 수 있었다.

• 해양환경안전학회지
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• 제24권4호
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• pp.489-495
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• 2018

본 논문에서는 안테나의 소형화, 이득 및 방사패턴을 개선한 초고속 통신망 시스템을 효과적으로 사용하기 위해 3.3 [GHz], 5 [GHz] 대역에서 동작하는 WLAN/UWB 통신용 안테나를 설계 및 제작을 하였다. 대역폭의 개선을 위해 마이크로스트립 패치 안테나를 선택하였고 각 단계마다 이론적인 근거에 의한 수식을 이용하여 슬롯의 폭, 길이, 전송선로의 폭 등을 계산하였다. 설계된 안테나의 시뮬레이션 결과 반사손실이 3.3 [GHz]에서 -14.053 [dB]이고 5 [GHz]에서 -13.118 [dB]의 값을 보여주었다. 이득은 3.3 [GHz]에서 2.479 [dBi]의 값과 5[GHz]에서 3.317[dBi]의 수치를 보여주었다. 또한 3D 설계가 가능한 CST Microwave Studio 2014 프로그램을 이용하여 최적화 한 후, 이를 바탕으로 제작한 안테나의 특성을 측정하여 성능을 확인하는 방법으로 연구를 진행하였다. 최근 다양하고 발전이 계속 이루어지고 있는 무선 기술인 WLAN과 해당 기술 이용자의 수요 증가에 따른 기술의 주파수 대역도 역시 증가하고 있는 추세의 통신 기술인 UWB을 초고속 무선 통신 시스템으로 사용하는 데 있어 불편함 없도록 해당 이용자를 위한 원활한 통신이 가능할 것으로 보인다.

• 대한전자공학회논문지TC
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• 제47권12호
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• pp.78-83
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• 2010

본 논문에서는 메타구조를 이용하여 하나의 RF GaN HEMT로 새로운 이중대역에 전력증폭기를 구현하였다. CRLH 전송선로는 이중- 대역 조절 특성을 갖는 메타물질 전송 선로를 만들 수 있다. CRLH 전송 선로의 이중 대역 동작은 전력증폭기의 정합 회로를 구현을 위하여 주파수 오프셋과 CRLH 전송 선로의 비선형 위상 기울기에 의해 얻을 수 있다. 이중대역에서 CRLH 전송 선로를 이용하여 이중대역에서 오직 2차, 3차 고조파 성분만을 조절하였다. 또한, 제안된 전력증폭기의 효율을 향상 시키기 위하여 출력 정합 회로뿐만 아니라 입력 정합회로도 고조파 조절 회로를 이용하여 구현하였다. 두 동작 주파수는 900MHz와 2140MHz로 정하였다. 전력증폭기의 측정된 출력 전력은 각각 900MHz에서 39.37dBm, 2140MHz에서 38.87 dB이다. 이 지점에서 얻은 전력효율 및 IMD는 900MHz에서 PAE 60.2%, IMD는 -23.17dBc, 2140MHz에서 PAE 67.3%, IMD -25.67dBc이다.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.787-800
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• 2021

Three-dimensional (3D) object classification tasks using point clouds are widely used in 3D modeling, face recognition, and robotic missions. However, processing raw point clouds directly is problematic for a traditional convolutional network due to the irregular data format of point clouds. This paper proposes a pointwise convolution neural network (CNN) structure that can process point cloud data directly without preprocessing. First, a 2D convolutional layer is introduced to percept coordinate information of each point. Then, multiple 2D convolutional layers and a global max pooling layer are applied to extract global features. Finally, based on the extracted features, fully connected layers predict the class labels of objects. We evaluated the proposed pointwise CNN structure on the ModelNet10 dataset. The proposed structure obtained higher accuracy compared to the existing methods. Experiments using the ModelNet10 dataset also prove that the difference in the point number of point clouds does not significantly influence on the proposed pointwise CNN structure.

• ETRI Journal
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• 제42권5호
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• pp.643-657
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• 2020

Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on-demand edge cloud services in three-dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low-orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space-borne MEC, enabling intelligent, personalized, and distributed on-demand services. End users will experience the impression of being surrounded by a distributed computer, fulfilling their requests with apparently zero latency. In this paper, we consider an architecture that provides communication, computation, and caching (C3) services on demand, anytime, and everywhere in 3D space, integrating conventional ground (terrestrial) base stations and flying (non-terrestrial) nodes. Given the complexity of the overall network, the C3 resources and management of aerial devices need to be jointly orchestrated via artificial intelligence-based algorithms, exploiting virtualized network functions dynamically deployed in a distributed manner across terrestrial and non-terrestrial nodes.

• 환경영향평가
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• 제19권3호
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• pp.315-321
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• 2010

ArcView and water network models have been integrated to develop the water network modeling system based upon GIS. To develop this system, pre, main, and post processing systems are required. GIS programming technique was adopted by using the ArcView's script language Avenue. The input data of models have been prepared by using the AutoCAD Map3D through the conversion of modeling input data to GIS data for A city. The modeling has been implemented by using EPANET, WaterCAD, InfoWorks. To develop the post processing system, the modeling results of the water network models have been analyzed by using GIS. During the application process of the developed system to B city with 300,000 population, main problems were found in the constructed GIS DB of that city. Thus, pilot study area of B city has been constructed, and pre-, main, and post-processing techniques were invented based upon GIS. Finally, the problems related to waterworks GIS projects in Korea were discussed and solutions were suggested.

• Journal of Communications and Networks
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• 제6권4호
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• pp.352-361
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• 2004

In this paper, we study how to achieve the maximum capacity under delay constraints for large mobile wireless networks. We develop a systematic methodology for studying this problem in the asymptotic region when the number of nodes n in the network is large. We first identify a number of key parameters for a large class of scheduling schemes, and investigate the inherent tradeoffs among the capacity, the delay, and these scheduling parameters. Based on these inherent tradeoffs, we are able to compute the upper bound on the maximum per-node capacity of a large mobile wireless network under given delay constraints. Further, in the process of proving the upper bound, we are able to identify the optimal values of the key scheduling parameters. Knowing these optimal values, we can then develop scheduling schemes that achieve the upper bound up to some logarithmic factor, which suggests that our upper bound is fairly tight. We have applied this methodology to both the i.i.d. mobility model and the random way-point mobility model. In both cases, our methodology allows us to develop new scheduling schemes that can achieve larger capacity than previous proposals under the same delay constraints. In particular, for the i.i.d. mobility model, our scheme can achieve (n-1/3/log3/2 n) per-node capacity with constant delay. This demonstrates that, under the i.i.d. mobility model, mobility increases the capacity even with constant delays. Our methodology can also be extended to incorporate additional scheduling constraints.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권2호
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• pp.287-312
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• 2011

Internet chat programs and instant messaging services are becoming increasingly popular among Internet users. One of the crucial issues with Internet chat is how to manage the corresponding pairs of questions and answers in a sequence of conversations. Although many novel methodologies have been introduced to cope with this problem, most are poor in managing interruptions, organizing turn-taking, and conveying comprehension. The Internet environment is recently evolving into a 3D environment, but the problems with managing chat dialogues with the standard 2D text-based chat have remained. Therefore, we propose a more realistic communication model for chat agents in 3D virtual space in this paper. First, we propose a new method to measure the capacity of communication between chat agents and a novel visualization method to depict the hierarchical structure of chat dialogues. In addition, we are concerned with communication networks for virtual people (avatars) living in virtual worlds. In this paper we consider a microscopic aspect of a social network in a relatively short period of time. Our experiments show that our model is highly effective in a virtual chat environment, and the communication network based on our model greatly facilitates investigation of a very large and complicated communication network.

• 산업경영시스템학회지
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• 제44권3호
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• pp.248-261
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• 2021

Scientific and technological performances (e.g., patents and publications) made through R&D play a pivotal role for national economic growth. National governments encourage academia-industry cooperation and thereby pursue continuous development of science technology and innovation. Increasing R&D-related investments and manpower are crucial for national industrial development, but evidence of poor performance in business performance, efficiency, and effectiveness has recently been found in Korea. This study evaluates performance efficiency of the 6T sector (Information Technology, Bio Technology, Nano Technology, Space Technology, Environment Technology, Culture Technology), which is considered a high-potential promising industry for the next generation growth and currently occupies two thirds of the national R&D projects. The study measures the relative efficiency of R&D in a comparative perspective by employing the Data Envelopment Analysis (DEA) method. The result reveals overall low efficiency in basic R&D (0.2112), applied R&D (0.2083), development R&D (0.2638), and others (0.0641), confirming that economic performance and efficiency were relatively poor compared to production efficiency. Efficient R&D needs policy makers to create strategies that can increase overall efficiency by improving productivity performance and quality while increasing economic performance.

• 지구물리
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• 제9권2호
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• pp.99-103
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• 2006

3D object recognition independent of translation and rotation using an ultrasonic sensor array, invariant moment vectors and SOFM(Self Organizing Feature Map) neural networks is presented. Using invariant moment vectors of the acquired 16×8 pixel data of square, rectangular, cylindric and regular triangular blocks, 3D objects could be classified by SOFM neural networks. Invariant moment vectors are constant independent of translation and rotation. The recognition rates for the training and testing data were 95.91% and 92.13%, respectively.