• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.3
• /
• pp.58-72
• /
• 2021

In July 2021, UNCTAD classified Korea as a developed country. After the Korean War in the 1950s, economic development was promoted despite difficult conditions, resulting in epoch-making national growth. However, in order to respond to the rapidly changing global economy, it is necessary to continuously study the domestic industrial ecosystem and prepare strategies for continuous change and growth. This study analyzed the industrial ecosystem of the automobile industry where it is possible to obtain transaction data between companies by applying complexity spatial network analysis. For data, 295 corporate data(node data) and 607 transaction data (link data) were used. As a result of checking the spatial distribution by geocoding the address of the company, the automobile industry-related companies were concentrated in the Seoul metropolitan area and the Southeastern(Dongnam) region. The node importance was measured through degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality, and the network structure was confirmed by identifying density, distance, community detection, and assortativity and disassortivity. As a result, among the automakers, Hyundai Motor, Kia Motors, and GM Korea were included in the top 15 in 4 indicators of node centrality. In terms of company location, companies located in the Seoul metropolitan area were included in the top 15. In terms of company size, most of the large companies with more than 1,000 employees were included in the top 15 for degree centrality and betweenness centrality. Regarding closeness centrality and eigenvector centrality, most of the companies with 500 or less employees were included in the top 15, except for automakers. In the structure of the network, the density was 0.01390522 and the average distance was 3.422481. As a result of community detection using the fast greedy algorithm, 11 communities were finally derived.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39B no.5
• /
• pp.281-290
• /
• 2014

The real-time data dissemination schemes exploit the spatiotemporal commuication approach which forwards data at the delivery speed calculated with the desired time deadline and the end-to-end distance in wireless sensor networks (WSNs). In practical environments, however, the performance of the real-time data dissemination might be degraded by additional and inevitable delay due to some holes. Namely, the holes lengthen the data delivery path and the spatiotemporal approach could not estimate a distance of the data delivery path. To deal with this, we propose A Hole Self-Organization Real-time Routing Protocol for Irregular Wireless Sensor Networks. In proposed protocol, nodes around holes could detect them at deploying phase. A hole is represented as a circle with center point and radius. This hole information is processed and provided as a form of location service. When a source queries a destination location, location provider replies certain points for avoiding holes as well as destination location. Thus, the source could set desired speed toward the destination via the points. Performance evaluation shows that provides better real-time service in practical environments.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06d
• /
• pp.179-182
• /
• 2011

노트북컴퓨터 및 스마트폰을 비롯한 무선랜을 사용하는 이동기기들의 폭발적인 보급에 따라 과도한 무선 트래픽을 처리하기 위한 기술개발이 절실하다. 본 논문에서는 MIM기능이 구현된 무선인터페이스를 가지는 노드들의 적절한 배치를 통해 시스템성능을 향상시키는 방법에 대해서 소개한다. 두 노드간의 거리에 기반한 간단한 MIM캡쳐 확률 모델을 바탕으로 무선 메시노드를 배치하면 동시전송이 가능해져서 기존의 IEEE802.11 DCF를 기반으로 동작하는 무선메시망에 비해 데이터 처리율이 크게 향상될 수 있다. 우리는 시물레이션을 통한 성능검증을 통해 MIM캡쳐를 활용하는 무선메시망 배치구조가 DCF에 기초해서 동작하는 망에 비해서 약 60% 정도의 처리량 향상이 있는 것을 확인하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.14 no.6
• /
• pp.229-234
• /
• 2014

As association between sensor networks that collect environmental information by using numberous sensor nodes and smartphones that are equipped with various sensors, many applications understanding users' context have been developed to interact users and their environments. Collected data should be stored with XML formatted metadata containing semantic information to share the collected data. In case of distance based clustering schemes, the efficiency of data collection decreases because metadata files are extended and changed as the purpose of each system developer. In this paper, we proposed a clustering scheme considering the structural similarity of metadata to reduce clustering construction time and improve the similarity of metadata among member nodes in a cluster.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37 no.4C
• /
• pp.338-346
• /
• 2012

Wireless sensor network (WSN) technology provides a variety of medical and healthcare solutions to assist detection and communication of body conditions. However, data reliability inside WSN might be influenced to healthcare routing protocol due to limited hardware resources of computer, storage, and communication bandwidth. For this reason, we have conducted various wireless communication experiments between nodes using parameters such as RF strength, battery status, and deployment status to get a optimal performance of mobile healthcare routing protocol. This experiment may also extend the life time of the nodes. Performance analysis is done to obtain some important parameters in terms of distance and reception rate between the nodes. Our experiment results show optimal distance between nodes according to battery status and RF strength, or deployment status and RF strength. The packet reception rate according to deployment status and RF strength of nodes was also checked. Based on this performance evaluation, the optimized sensor node battery and deployment in the developed our mobile healthcare routing protocol were proposed.

• The KIPS Transactions:PartD
• /
• v.12D no.2 s.98
• /
• pp.233-246
• /
• 2005

To enhance the user response time of content-based retrieval service for multimedia information, several multi-dimensional index schemes have been proposed. M-tree, a well-known multidimensional index scheme is of metric space access method, and is based on the distance between objects in the metric space. However, since the overlap between index spaces of nodes might enlarge the number of nodes of M-tree accessed for query processing, the user response time for content-based multimedia information retrieval grows longer. In this paper, we propose a node split algorithm which is able to reduce the sire of overlap between index spaces of nodes in M-tree. In the proposed scheme, we choose a virtual center point as the routing object and entry redistribution as the postprocessing after node split in order to reduce the radius of index space of a node, and finally in order to reduce the overlap between the index spaces of routing nodes. From the experimental results, we can see the proposed split algorithm reduce the overlap between index space of nodes and finally enhance the user response time for similarity-based query processing.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.6
• /
• pp.55-61
• /
• 2009

This paper proposes a position estimation of a mobile robot based on USN(Ubiquitous Sensor Network) and encoder, and development of tele-operation system using Internet. USN used in experiments is based on ZigBee protocol and has location estimation engine which uses RSSI signal to estimate distance between nodes. By distortion the estimated distance using RSSI is not correct, compensation method is needed. We obtained fuzzy model to calculate more accurate distance between nodes and use encoder which is built in robot to estimate accurate position of robot. Based on proposed position estimation method, tele-operation system was developed. We show by experiment that proposed method is more appropriate for estimation of position and remote navigation of mobile robot through Internet.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2014.01a
• /
• pp.355-356
• /
• 2014

기존의 MANET 환경에서 동작하는 계층화된 데이터 전송 프로토콜은 각 계층이 독립적인 기능을 수행하기 때문에 노드의 이동 상황에 따라 변하는 네트워크 환경을 잘 반영하지 못하고 있다. 본 논문에서는 라우팅 계층과 MAC 계층 간의 상호 작용을 통하여 MANET의 2-홉 거리에 있는 노드 수를 반영하여 더 우수한 성능을 나타내는 Cross-Layer 모델 기반의 브로트캐스트 기법을 제안한다. 본 논문에서 제안하는 Cross-Layer 모델은 IEEE 802.11 MAC 프로토콜을 수정하여 이동 노드 주위의 상태에 따라 브로드캐스트 패킷을 적응적으로 전송하도록 동작한다.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.6
• /
• pp.154-161
• /
• 2010

The properties of sensor node having a restricted energy in WSN have a difficult in various application fields to apply. Our paper proposed the cluster head selection which is an effective energy in order to manage in wireless sensor network. The proposed algorithm improves an energy efficient and is applied to various network environment considering energy capacity between cluster head and nodes and distance between cluster head and base station(sink node). By using the ns-2 simulator, we evaluate the performance of the proposed scheme in comparison with the original LEACH-C. Experimental results validate our scheme, showing a better performance than original LEACH-C in terms of the number of outliving nodes and the quantity of energy consumption as time evolves.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.9
• /
• pp.115-122
• /
• 2011

In this paper, we propose an efficient dynamic workload balancing strategy which improves the performance of high-performance computing system. The key idea of this dynamic workload balancing strategy is to minimize execution time of each job and to maximize the system throughput by effectively using system resource such as CPU, memory. Also, this strategy dynamically allocates job by considering demanded memory size of executing job and workload status of each node. If an overload node occurs due to allocated job, the proposed scheme migrates job, executing in overload nodes, to another free nodes and reduces the waiting time and execution time of job by balancing workload of each node. Through simulation, we show that the proposed dynamic workload balancing strategy based on CPU, memory improves the performance of high-performance computing system compared to previous strategies.