• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.6
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• pp.532-540
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• 2008

Recently there are growing interests in calculating aerodynamic characteristics of aircraft configurations with structural deformation using the FSI(Fluid-Structure Interaction) system in which CFD(Computational Fluid Dynamics) and CSD(Computational Structure Dynamics) modules are coupled. In this paper the FSI system comprised of CAD, CFD, CSD, VSI(Volume Spline Interpolation) and grid deformation modules was constructed in order to investigate aerodynamic characteristics of the deformed shape. In the process VSI and grid generation modules are developed to combine CSD and CFD routines and to regenerate the aerodynamic grids for the deformed shape, respectively. For the CFD and CSD analysis, commercial programs FLUENT and NASTRAN were used. As a test model, DLR-F4 wing configuration was chosen and its aerodynamic characteristics were calculated by applying the static FSI system. It was shown that lift and drag coefficients of the wing at mach number 0.75 are reduced to 20.26% and 18.5%, respectively, owing to the structural deformation.

• Journal of Information Technology and Architecture
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• v.9 no.1
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• pp.57-66
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• 2012

Recently, with a rapidly growing of the mobile content market, a variety of mobile-based applications are being launched. But mobile devices, compared to the average computer, take a lot of effort and time to get the final contents you want to use due to the restrictions such as screen size and input methods. To solve this inconvenience, a recommender system is required, which provides customized information that users prefer by filtering and forecasting the information.In this study, an tailored multi-information recommendation system utilizing a Personalized information recommendation system on smartphone is proposed. Filtering of information is to predict and recommend the information the individual would prefer to by using the user-based collaborative filtering. At this time, the degree of similarity used for the user-based collaborative filtering process is Euclidean distance method using the Pearson's correlation coefficient as weight value.As a real applying case to evaluate the performance of the recommender system, the scenarios showing the usefulness of recommendation service for the actual restaurant is shown. Through the comparison experiment the augmented reality based multi-recommendation services to the existing single recommendation service, the usefulness of the recommendation services in this study is verified.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.5
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• pp.1171-1183
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• 2016

Today, many domestic companies often face the lawsuits from the U.S. companies as they expand their business in the U.S. market and it is necessary for the domestic companies to prepare for the e-Discovery process in the systematic manner. Yet, the e-discovery system has not been properly established in Korea, however, domestic companies are growing more and more interests in e-Discovery processes and procedures so that they are seeking for the appropriate actions that they should take when facing lawsuits. When adopting the e-Discovery system in Korea, there are three main considerations including the differences in laws and regulations, enterprise system and language and company culture. This study aims to draw the problems for the Korean domestic companies in responding the U.S. lawsuits and to suggest the specialized e-discovery processes and procedures to effectively overcome them.

• Journal of KIISE
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• v.43 no.7
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• pp.820-826
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• 2016

There is a growing requirement for big data processing which extracts valuable information from a large amount of data. The Hadoop system employs the MapReduce framework to process big data. However, MapReduce has limitations such as inflexible and slow data processing. To overcome these drawbacks, SQL query processing techniques known as SQL-on-Hadoop were developed. Apache Tajo, one of the SQL-on-Hadoop techniques, was developed by a Korean development group. External merge sort is one of the heavily used algorithms in Tajo for query processing. The performance of external merge sort in Tajo is influenced by two parameters, sort buffer size and fanout. In this paper, we analyzed the performance of external merge sort in Tajo with various sort buffer sizes and fanouts. In addition, we figured out that there are two major causes of differences in the performance of external merge sort: CPU cache misses which increase as the sort buffer size grows; and the number of merge passes determined by fanout.

• Journal of KIISE:Information Networking
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• v.36 no.3
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• pp.198-203
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• 2009

With the growing demand for multimedia services and advances in display technology, new applications for 3$\sim$D scene communication have emerged. While multi-view video of these emerging applications may provide users with more realistic scene experience, drastic increase in the bandwidth is a major problem to solve. In this paper, we propose a fast prediction mode decision algorithm which can significantly reduce complexity and time consumption of the encoding process. This is based on the object segmentation, which can effectively identify the fast moving foreground object. As the foreground object with fast motion is more likely to be encoded in the view directional prediction mode, we can properly limit the motion compensated coding for a case in point. As a result, time savings of the proposed algorithm was up to average 45% without much loss in the quality of the image sequence.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.129-139
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• 2018

The crowdsourcing software development (CSD) is growing rapidly in the open call format in a competitive environment. In CSD, tasks are posted on a web-based CSD platform for CSD workers to compete for the task and win rewards. Task searching and assigning are very important aspects of the CSD environment because tasks posted on different platforms are in hundreds. To search and evaluate a thousand submissions on the platform are very difficult and time-consuming process for both the developer and platform. However, there are many other problems that are affecting CSD quality and reliability of CSD workers to assign the task which include the required knowledge, large participation, time complexity and incentive motivations. In order to attract the right person for the right task, the execution of action plans will help the CSD platform as well the CSD worker for the best matching with their tasks. This study formalized the task assignment method by utilizing different situations in a CSD competition-based environment in artificial intelligence (AI) planning. The results from this study suggested that assigning the task has many challenges whenever there are undefined conditions, especially in a competitive environment. Our main focus is to evaluate the AI automated planning to provide the best possible solution to matching the CSD worker with their personality type.

• The KIPS Transactions:PartC
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• v.8C no.6
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• pp.855-864
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• 2001

With the increasing importance and complexity of EC (Electronic Commerce) across the Internet, the need and expectation for intelligent software agents to support both consumers and suppliers through the whole process of EC are growing rapidly. To realize the intelligent EC. a multiagent based EC system. which includes foundational technologies such as the establishment of standard product ontology the definition of message and negotiation protocol and brockering, is required. In this paper we propose an intelligent EC System named ICOMA(Intelligent electronic CO mmerce system based on Multi-Agent) as an open infrastructure of multiagent-based EC. Concretely we have proposed. designed and implemented an architecture of multiagent-based EC system including 6-types of agents message protocol for inter-agent negotiation, personalized produst retrieval and filtering., We have confirmed the effectiveness of the system through experiments.

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.33-40
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• 2010

Recently, the scale of construction work has been growing, and buildings are becoming higher. To enable greater efficiency of construction work, the use of vertical transportation equipment has been radically increasing. In this context, many studies have been conducted on tower cranes. While these studies have discussed issues such as the selection of tower cranes, the optimization of locations, and the hoisting time of tower cranes, there has been no research on the installation of tower cranes. As such, the installation of tower cranes on construction sites has been accomplished based on subjective judgment and technical assistance, and the experience of workers in equipment companies. Therefore, this study analyzes the productivity of tower cranes using simulation methodology, and proposes a generalized model of the installation process of tower cranes in order to offer a basic resource that site managers can directly utilize.

• Archives of Plastic Surgery
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• v.34 no.1
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• pp.119-122
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• 2007

Purpose: Although liposarcoma is the second most common soft tissue sarcoma in adults, the incidence of liposarcoma of the head and neck is rare. There is only one reported case in Korea and moreover, only in adolescence. We report a case of liposarcoma on the neck in a 32-year-old male in adult. Methods: The patient had a slow growing, none tender mass on the posterior neck without lymphadenopathy, which has been present for 3 years and recurred twice during that time. MRI showed a 1.5 cm sized ovoid, well demarcated mass that was located in the subcutaneous layer of the posterior neck. Results: The mass was surgically removed. The resection margin was free of tumor on frozen biopsy and histopathologic examination indicated myxoid and round cell liposarcoma. The whole body F-18 FDG PET-CT applied on the fourteenth day postoperatively, revealed a moderate FDG-uptaking soft tissue lesion showing postoperative wound healing process on the posterior neck region and there was no distant metastasis. Conclusion: Liposarcoma is the second most common soft tissue sarcoma in adults. But, it rarely involves the head and neck region. Prognosis is principally dependent on histologic subtype and grade. Low grade liposarcoma such as well differentiated and myxoid liposarcoma tend to recur locally, rarely metastasize. On the other hand, high grade liposarcoma such as round cell and pleomorphic liposarcoma have higher rates of local recurrence and distant metastasis. Complete surgical excision provides the most effective means of treatment. Radiotherapy or chemotherapy can be used as an asjunctive treatment modality.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.5 s.170
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• pp.130-137
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• 2005

Recently, the importance of CAE research is growing with the advances of the automotive and computer industry. In addition, multi-body dynamics and powertrain analysis are the most important factors in improving the vehicle design. Since engine torque with curve-data was used for analyzing full car simulation in the multi-body dynamics system for many years, it is impossible to assess the concurrent analysis of the engine and powertrain element included in a real full car system. In powertrain, since vehicle are usually modeled as a simple mass and a inertia, they can not be seen as real cars. Moreover, it is hard to obtain additional dynamics data other than the longitudinal velocity value in movement. Because of the reason that was previously discussed, it is necessary to consolidate the two parts as one routine program for design and development through the coordinate system connectivity, and presented here is a program named O-DYN. Using an object-oriented language C++, this program has a good structure with the valuable characteristics of objectivity, inheritance, and reusability. The reliability of this multi-body dynamics program is examined by DADS, which is the general dynamics program, using DAE solver and PECE integral function with the common coordinator separation method. As a result, we can obtain a better solution and total dynamics data in either area through this process. This program will be useful for analyzing full car simulation with powertrain.