• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.8
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• pp.907-914
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• 2015

Due to the global warming, the restriction for emitting the green-house gas is strengthened and a main ingredient of the green-house gas is carbon dioxide ($CO_2$). In order to reduce the amount of $CO_2$, the low-carbon and long-life of the construction and the construction materials management system based on the radio frequency identification (RFID) technique have been actively studied in the construction field. The conventional construction management system based on RFID only focuses on the study and experiment for managing the used amount and location of the construction materials in the construction stage, but it does not consider the study for the status management system for the recycling materials in the construction stage or the building deactivation. In this paper, we propose the effective RFID system for managing the status of the construction materials during the construction stage or the building deactivation. Employing RFID with the frequency of 900MHz, the proposed system consists of the reader unit, communication unit, and memory unit, and its tags are attached in the surface or inside of the construction materials.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.8
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• pp.1179-1186
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• 2013

In this paper, an efficient vehicle detection and tracking algorithm for detection incident in tunnel is proposed. The proposed algorithm consists of three steps. The first one is a step for background estimates, low computational complexity and memory consumption Running Gaussian Average (RGA) is used. The second step is vehicle detection step, Adaboost algorithm is applied to this step. In order to reduce false detection from a relatively remote location of the vehicles, local features according to height of vehicles are used to detect vehicles. If the local features of an object are more than the threshold value, the object is classified as a vehicle. The last step is a vehicle tracking step, the Kalman filter is applied to track moving objects. Through computer simulations, the proposed algorithm was found that useful to detect and track vehicles in the tunnel.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1235-1240
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• 2019

It is well known that the ground water level changes rapidly before and after the earthquake, and the variation of ground water level prediction is used to predict the earthquake. In this paper, we predict the ground water level in Miryang City using ANFIS algorithm for earthquake prediction. For this purpose, this paper used precipitation and temperature acquired from National Weather Service and data of underground water level from Rural Groundwater Observation Network of Korea Rural Community Corporation which is installed in Miryang city, Gyeongsangnam-do. We measure the prediction accuracy using RMSE and MAPE calculation methods. As a result of the prediction, the periodic pattern was predicted by natural factors, but the change value of ground water level was changed by other variables such as artificial factors that was not detected. To solve this problem, it is necessary to digitize the ground water level by numerically quantifying artificial variables, and to measure the precipitation and pressure according to the exact location of the observation ball measuring the ground water level.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.112-122
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• 2012

The purpose of this study is to provide fundamental data that can improve added value of commercial space strategically using the identification of relationship between the process of consumers' purchasing psychology (AIDMA : Attention, Interest, Desire, Memory, Action) and elements of interior design. For this purpose, case study and survey were carried out on food and beverage spaces, where they were doing business for more than two years, were selected from the ones appeared in the interior journal "A." Based on the study, basic details including a ground plan, design summary and representative image were identified through preliminary research, and a researcher visited the target spaces and carried out a research and analysis on interior design elements. Three spaces among targets of the case study were selected to identify the relation between design elements and AIDMA items which consumers feel, and the survey was conducted on the customers of the selected food and beverage spaces. Results of the case study on the 18 food and beverage spaces showed that features of the each of AIDMA items in material and color elements were most well expressed. As a result of survey conducted on visitors of each food and beverage space, features of each item were expressed in overall design elements. In particular, space elements and color elements in "Space 1," space elements and lighting elements in "Space 2" and space elements, furniture & objet elements in "Space 3" were most well expressed in each space. There were slight differences depending on individual characteristics such as design concept, location and business operation of target food and beverage spaces but attributes of AIDMA items were remarkably recognized in common in the space elements.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.348-358
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• 2009

Diffuse axonal injury(DAI) is a common form of traumatic brain injury and thought to be a major contributor to cognitive dysfunction. Physical activity has been shown to beneficial effects on physical health and influences in hippocampus which is an important location for memory and learning. The purpose of this study was to investigate the effect of motor training on motor performance and axonal regeneration in hippocampus through the immunoreactivity of GAP-43 after diffuse axonal injury in the rats. The experimental groups were applied motor training(beam-walking, rotarod, and Morris water maze) but control groups were not. The time performing the motor tasks and GAP-43 immunohistochemistry were used for the result of axonal recovery. There were meaningful differences between experimental groups and control groups on motor performance and GAP-43 immunohistochemistry. The control groups showed increasing tendency with the lapse of time, but experimental groups showed higher. Therefore, Motor training after DAI improve motor outcomes which are associated with dynamically altered immunoreactivity of GAP-43 in axonal injury regions, particularly hippocampus, and that is related with axonal regeneration.

• Spatial Information Research
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• v.19 no.3
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• pp.43-52
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• 2011

Recently, interest in location-based service (LBS) which utilizes a DBMS in mobile system environment has been increasing, and it is expected to overcome the existing file-based system's limitation in advanced in-vehicle system by utilizing DBMS's advantages such as efficient storage, transaction management, modelling and spatial queries etc. In particular, the road network data corresponds to the most essential domain in a route planning system, which needs efficient management and maintenance. Accordingly, this study aims to develop an efficient graph-based geodata model for topological network data and to support dynamic path computation algorithm based on heuristic approach in mobile LBS system. To achieve this goal, we design a data model for supporting the hierarchy of network, and implement a path planning system to evaluate its performance in mobile LBS system. Last but not least, we find out that the designed path computation algorithm with hierarchical graph model reduced the number of nodes used for finding and improved the efficiency of memory.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.56-63
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• 2016

We consider a satellite mission scheduling problem, which is a promising problem in recent satellite industry. This problem has various considerations such as customer importance, due date, limited capacity of energy and memory, distance of the location of each mission, etc. Also we consider the objective of each satellite such as general purpose satellite, strategic mission and commercial satellite. And this problem can be modelled as a general knapsack problem, which is famous NP-hard problem, if the objective is defined as to maximize the total mission score performed. To solve this kind of problem, heuristic algorithm such as taboo and genetic algorithm are applied and their performance are acceptable in some extent. To propose more efficient algorithm than previous research, we applied a particle swarm optimization algorithm, which is the most promising method in optimization problem recently in this research. Owing to limitation of current study in obtaining real information and several assumptions, we generated 200 satellite missions with required information for each mission. Based on generated information, we compared the results by our approach algorithm with those of CPLEX. This comparison shows that our proposed approach give us almost accurate results as just less than 3% error rate, and computation time is just a little to be applied to real problem. Also this algorithm has enough scalability by innate characteristic of PSO. We also applied it to mission scheduling problem of various class of satellite. The results are quite reasonable enough to conclude that our proposed algorithm may work in satellite mission scheduling problem.

• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.85-98
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• 2010

An advanced and proactive response mechanism against diverse attacks on All-IP network should be proposed for enhancing its security and reliability on open network. There are two main research works related to this study. First one is the SPIE system with hash function on Bloom filter and second one is the Sinkhole routing mechanism using BGP protocol for verifying its transmission path. Therefore, advanced traceback and network management mechanism also should be necessary on All-IP network environments against DDoS attacks. In this study, we studied and proposed a new IP traceback mechanism on All-IP network environments based on existing SPIE and Sinkhole routing model when diverse DDoS attacks would be happen. Proposed mechanism has a Manager module for controlling the regional router with using packet monitoring and filtering mechanism to trace and find the attack packet's real transmission path. Proposed mechanism uses simplified and optimized memory for storing and memorizing the packet's hash value on bloom filter, with which we can find and determine the attacker's real location on open network. Additionally, proposed mechanism provides advanced packet aggregation and monitoring/control module based on existing Sinkhole routing method. Therefore, we can provide an optimized one in All-IP network by combining the strength on existing two mechanisms. And the traceback performance also can be enhanced compared with previously suggested mechanism.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.8
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• pp.954-963
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• 2007

As RFID systems are applied to various fields and applications such as supply chain management, asset management, location based applications etc. the requirements becomes diverse. For example, Much higher performance, TCP/IP protocol stack are required in some applications. However, low end processors based systems such as 8051 processor can not meet such requirements due to their low processing capacity and limited size of memory. In this paper a UHF band RFID system which meets the EPC Class-1 Generation-2 specification with ARM920T-based processor is implemented and tested.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.32-43
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• 2013

These days, there are more and more IT research institutions which foresee cloud services as the predominant IT service in the near future and there, in fact, are actual cloud services provided by some IT leading vendors. Regardless of physical location of the service and environment of the system, cloud service can provide users with storage services, usage of data and software. On the other hand, cloud service has challenges as well. Even though cloud service has its edge in terms of the extent to which the IT resource can be freely utilized regardless of the confinement of hardware, the availability is another problem to be solved. Hence, this paper is dedicated to tackle the aforementioned issues; prerequisites of cloud computing for distributed file system, open source based Hadoop distributed file system, in-memory database technology and high availability database system. Also the author tries to body out the high availability mass distributed data management architecture in cloud service's perspective using currently used distributed file system in cloud computing market.