• Journal of the Korea Society of Computer and Information
• /
• v.15 no.11
• /
• pp.135-142
• /
• 2010

QoS in the proxy system are under heavy influence from interferences such as congestion, latency, and retransmission. Also, multi-level streaming services affects from temporal synchronization, which lead to degrade the service quality. This paper proposes a new segment-based buffer management mechanism which reduces performance degradation of streaming services and enhances throughput of streaming due to drawbacks of the proxy system. The proposed paper optimizes streaming services by: 1) Use of segment-based buffer management mechanism, 2) Minimization of overhead due to congestion and interference, and 3) Minimization of retransmission due to disconnection and delay. This paper utilizes fuzzy value $\mu$ and cost weight $\omega$ to process the result. The simulation result shows that the proposed mechanism has better performance in buffer cache control rate, average packet loss rate, and delay saving rate with stream relevance metric than the other existing methods of fixed segmentation method, pyramid segmentation method, and skyscraper segmentation method.

• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.542-543
• /
• 2008

전력산업의 환경변화에 따라 단일 공급자였던 한전을 비롯하여 전력판매사업자, 민간부하사업자, 에너지컨설팅사업자 등 에너지관련 서비스를 제공하는 주체자(이하 ESP : Energy Service Provider)의 참여로 전력시장이 경쟁체제로의 변화가 예상된다. 이러한 주체는 전력에너지 관리 최적화를 위한 수요측의 전력자원과 정보의 통합관리가 필요하다. 또한 수요측 서비스 개선과 동시에 수익을 창출할 수 있는 부가 서비스의 개발이 또한 요구될 것이다. 최근 석유가격의 지속적인 상승으로 도매시장가격은 더욱 증가할 것으로 예상된다. 현재 우리나라는 CBP 형태의 전력시장에서 시간대별로 변하는 전력가격(SMP)에 의하여 시장가격이 정해진다. 따라서 시장가격이 높아지면 높아질수록 전력을 구입하고 있는 전력사업자의 경우 구입비의 증가로 재무 건전성 확보에 악영향을 초래한다. 따라서 효율적인 전력 수요절감을 통해 구입전력비를 절감할 수 있는 신수요관리 기법이 필요하다. 이러한 신수요관리 기법은 국가적으로는 하계수급비상 해소와 신규 건설비용 및 혼잡비용을 회피하고, 전력사업자는 구입전력비의 절감을 통해 전력도매시장가격의 안정을 도모할 수 있다. 이러한 수요절감 기법 중 수요측의 자율적인 참여 및 반응을 기반으로 하는 수요반응(Demand Response, 이하 DR)이 있으며, 이는 전력사업자와 수요 측 전력부하설비와의 양방향 통신 및 제어 인프라 구축이 필요하다. 본 논문은 이러한 DR운영에서 반드시 필요한 수요측 전력부하설비와의 양방향 통신 및 제어 인프라구축에 대한 방법 및 결과를 제시하고자 한다.

• Journal of Digital Convergence
• /
• v.13 no.9
• /
• pp.235-242
• /
• 2015

Social network technology has been increasing interest in the big data service and development. However, the data stored in the distributed server and not on the central server technology is easy enough to find and extract. In this paper, we propose a big data management techniques to minimize the processing time of information you want from the content server and the management server that provides big data services. The proposed method is to link the in-group data, classified data and groups according to the type, feature, characteristic of big data and the attribute information applied to a hash chain. Further, the data generated to extract the stored data in the distributed server to record time for improving the data index information processing speed of the data classification of the multi-attribute information imparted to the data. As experimental result, The average seek time of the data through the number of cluster groups was increased an average of 14.6% and the data processing time through the number of keywords was reduced an average of 13%.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.2
• /
• pp.83-92
• /
• 2020

In this paper, we propose an efficient session management scheme for low-latency communications in 5G systems. The main idea of the proposed scheme is to prevent unnecessary reattempt signalling overhead when the session establishment for low-latency communications fails. Also, this method avoids network resource waste and battery drain of mobile devices. If a UE(User Equipment) fails to establish an Always-on PDU session for low-latency communications with the 5G systems because of network failure or resource unavailability, the proposed method prevents the UE's re-establishment of the Always-on PDU session by the specific information in the NAS(Non-Stratum) message from the 5G systems. Through simulation, we show that the proposed efficient session management scheme (ESMS) minimizes unnecessary signalling overhead and improves battery efficiency of mobile devices compared to existing legacy mechanism in 5G systems.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.9
• /
• pp.1696-1702
• /
• 2008

A MANET(Mobile Ad-hoc Network) is a multi-hop routing protocol formed by a collection without the intervention of infrastructure. So the MANET also depended on the property as like variable energy, high degree of mobility, location environments of nodes etc. Generally the various clustering technique and routing algorithm would have proposed for improving the energy efficiency. One of the popular approach methods is a cluster-based routing algorithm using in MANET. In this paper, we propose an algorithm techniques which is TICC (Time Interval Clustering Control) based on energy value in property of each node for solving cluster problem. It provides improving cluster energy efficiency how can being node manage to order each node's energy level. TICC could be able to manage the clustering, re-configuration, maintenance and detection of Node in MANET. Furthermore, the results of modeling shown that Node's energy efficiency and lifetime are improved in MANET.

• Journal of KIISE
• /
• v.42 no.2
• /
• pp.169-176
• /
• 2015

The atomic write technique is a good solution to solve the problem of the double write buffer. The atomic write technique needs modified I/O subsystems (i.e., file system and I/O schedulers) and a special SSD that guarantees the atomicity of the write request. In this paper, we propose the writing unit aligned block allocation technique (for EXT4 file system) and the merge prevention of requests technique for the CFQ scheduler. We also propose an atomic write-supporting SSD which stores the atomicity information in the spare area of the flash memory page. We evaluate the performance of the proposed atomic write scheme in MariaDB using the tpcc-mysql and SysBench benchmarks. The experimental results show that the proposed atomic write technique shows a performance improvement of 1.4~1.5 times compared to the double write buffer technique.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.45 no.6
• /
• pp.149-159
• /
• 2017

There are many studies on the health and protection of Old-growth and Giant Trees, concentrating on empirical judgment and basic protection measures. The problem this study addresses is the relative importance and priority of the health evaluation indicators of Old-growth and Giant Trees. Firstly, this study exports the evaluation indicators of Old-growth and Giant Trees. The evaluation system for the degree of danger of Old-growth and Giant Trees are composed of two layers: 5 fields and 46 indicators. Secondly, using the AHP and PCA method can determine the weight of each field and each index factor. The process of AHP establishes the relative importance judgment matrix of each field and fully proves that the main cause of danger is individual aging. The PCA method suggested that trunk rot status, light conditions, tree surgeries, bacterial diseases, and soil moisture level are the most important factors in each field. These aspects should be given priority in the management and protection of Old-growth and Giant Trees. Weight values obtained in this study seemed to be useful in the evaluation of Old-growth and Giant Trees.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.2
• /
• pp.40-51
• /
• 2021

The purpose of this study is to diagnose urban spatial structures using spatial modeling techniques for balanced urban development as part of sustainable urban growth management. Since urban spatial structure is an interaction of various activities, it is necessary to interpret the analysis results in conjunction with the analysis of changes in spatial structural elements. In this study, population and transportation were approached for research purposes. Population data were applied to the Getis-Ord G_i^* method, a spatial statistical technique, to analyze the concentration-decreasing region of the population. Traffic data analyzed the trend of centrality change by applying commuting traffic O-D data to Social Network Analysis techniques. The analysis showed that urban imbalance was growing, and the centrality of transportation was changing. The results of the analysis of spatial structure elements could be interpreted by linking the results of each factor to each neighborhood unit, predicting changes in urban spatial structure and suggesting directions for sustainable urban growth management.These results could also be used as a decision-making tool for various urban growth management policies introduced to cope with rapid urban development and uncontrollable development in many cities around the world.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.2B
• /
• pp.99-106
• /
• 2009

The tracking information of objects or persons plays the important role for being advanced of the technology in the logistics management or processing. In this paper, we propose the TDOA-based localization method for port logistics environment for obtaining accurate location of a tag which is attached to some objects or persons. The proposed method consists of these modules for precision : An adaptive selection module of base reader, 2.5D locating method and position-restriction method using a map. This paper includes the performance evaluation of those methods. We could see the improved performance in the simulation. And we also implemented the system and achieved the accuracy of DRMS and CEP within 4 meters.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.12
• /
• pp.8370-8377
• /
• 2015

In spatial data stream management systems, it is needed appropriate load shedding algorithm because real-time input spatial data streams could exceed the limitation of main memory. However previous researches, lack regard for input ratio and spatial utilization rates of spatial data streams, or the characteristics of data source which generates data streams with spatial information efficiently, can lead to decrease the performance and accuracy of spatial data stream query. Therefore, multi-level load shedding scheme for spatial data stream management systems is proposed to increase the spatial query performance and accuracy. This proposed scheme limits overloads in relation to the input rate and the characteristics of data source first, and then, if needed, query data representing low query participation probability based on spatial utilizations are dropped relatively. Our experiments show that the proposed method could decrease load shedding frequency for previous researches by more than 11% despite query results accuracy and query performance are superior at 0.04% and 3%.