• The Journal of the Korea Contents Association
• /
• v.10 no.11
• /
• pp.318-328
• /
• 2010

This paper as basic work on the regional economic policy of Korean government considers economic conditions and fundamentals of the cold started 5+2 mega-regional economic zones and makes a comparative study of regional economic power of national mega-regional economic zones based on the established economic indicator. Therefore, this study aims to consider henceforward policy direction of the mega-regional economic zone and the validity of the regional economic policy, which promote autonomous mega-regional economic zone in dimension to secure the global competitiveness. According to the comparison result of regional economic power index, the capital area had absolute superiority, while Gangwon, Honam and Jeju areas were relatively weak. Since the given regional conditions are dissimilar, the government must consider regional characteristics and economic fundamentals carefully, as they push henceforth regional development policy for the mega-regional economic zone. What is more, the government should promote a balance of the regional development, through to maintain demand-based policy and demand-pull policy flexibly, which are based on demand analysis, as well as unequal quota budget and policy for regions, which are relatively falling behind in terms of development and income.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.12 no.6
• /
• pp.78-86
• /
• 2013

In this paper, we propose design of a high-performance vehicle imaging information system for an efficient vehicle imaging stabilization. The proposed system was designed the algorithm by divided as motion estimation and motion compensation. The motion estimation were configured as local motion vector estimation and irregular local motion vector detection, global motion vector estimation. The motion compensation was corrected for the four directions for compensate to the shake of vehicle video image using estimate GMV. The designed algorithm were designed the motion compensation technology chip by applied to IP for vehicle imaging stabilization. In this paper, the experimental results of the proposed vehicle imaging information system were proved to the effectiveness by compared with other methods, because imaging stabilization of moving vehicle was not used of memory by processing real-time. Also, it could be obtained to reduction effect of calculation time by arithmetic operation through to block matching.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.327-328
• /
• 2022

The recent spread of the corona pandemic and a temporary surge in demand for consumer goods have resulted in an increase in port cargo volume, and the resulting port congestion is coupled with a shortage of labor in the port, exacerbating the global supply chain chaos. Supply chain disruptions will increase logistics costs and ultimately increase global inflationary pressures. In this situation, the role of the port, which is the nodal point between land and sea, is gradually becoming more important. And fully automated ports that are operated unmanned are evaluated as being able to respond stably and flexibly by reducing operational risks in situations such as COVID-19. Therefore, this study compared the operational performance of fully automated and non-fully automated terminals within the same port before and after the corona outbreak, and analyzed the fully automated terminal was stable in actual operation. As a result of the analysis, the fully automated terminal showed stable operating efficiency in all aspects of operational performance compared to the non-fully automated terminal even under severe port congestion due to COVID-19.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.27 no.5
• /
• pp.84-88
• /
• 2023

This study proposes an automated tilt measurement method using point cloud for buildings. The proposed method consists of two main steps: 1) exterior wall plane extraction, and 2) edge estimation and angle calculation. To validate the performance of the proposed method, the algorithm is applied to a target building, of which the estimated tilt values are compared with those obtained from a total station, a commonly used tool for tilt measurement. The result shows that most estimated tilt values are within the maximum and minimum ranges of the total station measurement, suggesting that the proposed algorithm provides sufficient measurement accuracy. Furthermore, the proposed method is shown to be automated and reliable as well as free from human-induced errors compared to the total station.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.42 no.2
• /
• pp.249-256
• /
• 2022

Various studies are being actively conducted to show that the real-time visualization technology that combines BIM (Building Information Modeling) and AR (Augmented Reality) helps to increase construction management decision-making and processing efficiency. However, when large-capacity BIM data is projected into AR, there are various limitations such as data transmission and connection problems and the image cut-off issue. To improve the high efficiency of visualizing, a mesh optimization algorithm based on the k-nearest neighbors (KNN) classification framework to reconstruct BIM data is proposed in place of existing mesh optimization methods that are complicated and cannot adequately handle meshes with numerous boundaries of the 3D models. In the proposed algorithm, our target BIM model is optimized with the Unity C# code based on triangle centroid concepts and classified using the KNN. As a result, the algorithm can check the number of mesh vertices and triangles before and after optimization of the entire model and each structure. In addition, it is able to optimize the mesh vertices of the original model by approximately 56 % and the triangles by about 42 %. Moreover, compared to the original model, the optimized model shows no visual differences in the model elements and information, meaning that high-performance visualization can be expected when using AR devices.

• The Journal of the Korea Contents Association
• /
• v.18 no.6
• /
• pp.564-573
• /
• 2018

External environment of enterprises are rapidly changing brought about mainly by global competition, cost and profitability pressures, and emerging new technology. In particular, frequent change of customer requirements is a tough challenge to manufacturing company. To cope with these challenges, a production planning and scheduling (PP&S) function might be established to provide accountability for both customer service and operational efficiency. PP&S deals with short-term decision making in the production process of whole supply chain. The task of PP&S is to seek a balance between customer orders and limited resources. At present, many PP&S software solutions have been utilized in many enterprises to generate a realistic production plan and schedule efficiently. The aim of this paper is to analyze the PP&S functionalities and its system architecture from the perspective of SCM (Supply Chain Management), and propose the PP&S solution classification framework to facilitate the comparison among various solutions.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.7
• /
• pp.1-11
• /
• 2012

As process technology scales down, the number of cores integrated into a processor increases dramatically, leading to significant performance improvement. Especially, the GPU(Graphics Processing Unit) containing many cores can provide high computational performance by maximizing the parallelism. In the GPU architecture, the access latency to the main memory becomes one of the major reasons restricting the performance improvement. In this work, we analyze the performance improvement of the 3D GPU architecture compared to the 2D GPU architecture quantitatively and investigate the potential problems of the 3D GPU architecture. In general, memory instructions account for 30% of total instructions, and global/local memory instructions constitutes 60% of total memory instructions. Therefore, the performance of the 3D GPU is expected to be improved significantly compared to the 2D GPU by reducing the delay of memory instructions. However, according to our experimental results, the 3D architecture improves the GPU performance only by 2% compared to the 2D architecture due to the memory bottleneck, since the performance reduction due to memory bottleneck in the 3D GPU architecture increases by 245% compared to the 2D architecture. This paper provides the guideline for suitable memory design by analyzing the efficiency of the memory architecture in 3D GPU architecture.

• Journal of Industrial Convergence
• /
• v.20 no.4
• /
• pp.1-6
• /
• 2022

In recent years, many global manufacturers such as Mercedes-Benz and BMW have been using augmented reality technology to spread it to various fields such as assembly process, after-sales service, sales stores, and consumer manuals. In this study, the application status of innovation in manufacturing using industrial augmented reality was identified, and the possibility of combining existing ERP and augmented reality was analyzed based on this. In addition, it was empirically analyzed that the selection of a dedicated content development engine is the most important factor in development productivity in the development of industrial augmented reality content. The same content developed with Unity3d was redeveloped with Vuforia Studio, and as a result of comparative analysis of development man-hours by field, the development lead time was shortened by 8 times. This study proves productivity by actually developing industrial augmented reality contents, and it is a study with a difference that is difficult to implement in practice.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.8
• /
• pp.2888-2898
• /
• 2010

It has been over a decade since the business consulting services by SMBA started in order to build up competitiveness through supporting small and medium enterprises under the business environment of globalization. No matter how there is no post empirical data of evaluation. Therefore, this study is focused on analysing the practical performance of Coupon System Management Consulting(CSMC) by comparing the financial condition for a few years before and behind since the companies have been involving in. As a result, the statistical significances of research hypotheses were rejected for the most part. Moreover, the growth rates of sales and total assets of which each of them is one of the indicators concerning growth and activity, are negatively significant, which means that CSMC the needs comprehensive consideration about its efficiency and in all its aspects.

• The KIPS Transactions:PartD
• /
• v.16D no.4
• /
• pp.549-560
• /
• 2009

The Agile movement is a phenomenon that is part of the next phase of the software engineering evolution. At the same time, globally distributed software development is another trend delivering high-quality software to global users at lower costs. In this paper, Agile Framework for Distributed Software Development (AFDSD) has been suggested, and Chameleon project of Yahoo! Inc. has been implemented based on the framework. Also, the project has been evaluated by measuring Agile adoption and improvement levels, degrees of agility and agile project success, and comparing the performance and quality with the previous version. The overall performance and satisfaction with Chameleon increased by more than 30% since Agile techniques were adopted. Our objective is to highlight successful practices and suggest a framework to support adoption and evaluation of Agile techniques in a distributed environment.