• Journal of Plant Biology
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• v.33 no.3
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• pp.211-215
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• 1990

There is a family of homologous proteins known to small GTP-inding proteins which have a GTP binding domains and GTPase activity with molecular weight of about 20000 in mammalian tissues. Recently at least 20 different small GTP-binding proteins including three rasproto-oncogene, smg25, rho, and ral gene products were identified. These proteins play a central role in cellular prolifration, neoplasia, signal transduction, terminal differentiation, and secretory process of the cells. In this review, I have briefly compiled current information on the different areas of research in the small GTP-binding proteins in an attempt to convey an overall view of the fundamental role that this family of protein in normal cellular processes. Moreover, furture goals of research in the small GTP-binding proteins as well as the possible existence of this family of proteins in plant cells were discussed.

• Journal of the Korea Safety Management & Science
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• v.13 no.2
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• pp.129-135
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• 2011

Logistics parks make profits using the efficiency of time and space. Such logistics parks play an important role in a corporation creating operating profits as well as acting as a method of alternative investment for individuals. Logistics parks no longer simply store materials, but have become a place that plays an important role in various areas of corporate and individual activities, and thus the analysis of the selection of the location of logistics parks and the related characteristics is extremely important. The estimation model is established by the weights for industry derived from AHP(Analytic Hierarchy Process).

• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.47-54
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• 2015

In this paper, I examines the spatial representation of the change in the environment of the digital platform, and play the game with a focus on the spatial characteristics of a digital game. First, what is the Spatial characteristic of digital games? This section applies to a digital game "theory of Lefebvre", and the spatial representation of the practice space, divided into representational space were explored. Second, how to express dealing Is there space in the genre of adventure games? The spatial characteristics of the game medium through the Spatial characteristic of the adventure game genre that is most striking examples was analyzed whether the expression in any way. Consequently, the spatial characteristics of the digital game studies of the game as well as think a very large role in the development direction. In addition, this case analysis of the expression is the basis of this digital game that is utilized in many areas, and I am sure many possibilities to find a positive role in the game.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.301-308
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• 2009

In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.

• Korean Institute of Interior Design Journal
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• no.9
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• pp.18-23
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• 1996

Among the building types in which behavioral issues play, the largest role are institutional environments. Such setting share a number of important characteristics ; they serve specific population (e.g. the ill, the elderly , '||'&'||' inmates) : they are directed toward specific social behavioral objectives(e.g medical care, education , '||'&'||' rehabilitation); and they are "Total institution" in which residents spend all of there time. The basic concepts and theories of environment-behavior studies are of direct relevance in understanding such social institutions. In this study, I have examined the relationships between waiting and the specific conditions of the hospital experience. More specifically, this is a study of visitors (outpatient) within the context of the hospital , and the physical setting designated for their use in the outpatient waiting room. Environment behavior studies, with its commitment to individual behavior and the physical environment might well be a particularly way by which a study of waiting rooms can demonstrate the power of this approach and its integrative among disciplines.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.207-209
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• 2003

Quantifying crop production is one of the most important applications of remote sensing in which the temporal and up-to-date data can play very important role in avoiding any immediate insufficiency in agricultural production. A combination of climatic data and biophysical parameters derived from Landsat7 ETM+ was used to develop a mathematical model for wheat yield forecast in different geographically wide Wheat growing districts in Egypt. Leaf Area Index (LAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) with temperature were used in the modeling. The model includes three sub-models representing the correlation between the reported yield and each individual variable. Simulation results using district statistics showed high accuracy of the derived correlations to estimate wheat production with a percentage standard error (%S.E.) of 1.5% in El- Qualyobia district and average (%S.E.) of 7% for the whole wheat areas.

• Journal of Korea Multimedia Society
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• v.14 no.5
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• pp.622-631
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• 2011

Corners play an important role in describing object features for pattern recognition and identification. This paper proposed a fast and adaptive corner detector in both coarse and fine scale, followed by the framework of the curvature scale space (CSS). An adaptive curvature threshold and evaluating of angles of corner candidates are added to original CSS to remove round corners and false corners in the detecting process. The efficiency of proposed method is compared to other popular detectors in both accuracy criteria, stability and time consuming. Results illustrate that the proposed method performs extremely surpass in both areas.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.44-45
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• 2019

Tower cranes are essential equipments that play a key role in the overall process of large-scale construction projects, as well as high-rise apartments construction projects. Tower cranes hoist various loads near and over people, working in crowded environments, sometimes in overlapping work areas, and often under the constraints of time, budget, and labor. This work system further increases the safety risks of sites with inherently hazardous workplaces. The methodology of this research was based on a comprehensive inquiry of a team of experts, including safety managers and equipment managers of major construction companies and previous literature search. Due to the limited resources available to improve safety and prevent accidents, more attention should be paid to all parties involved in factors that have been evaluated to have a significant impact on site safety due to tower crane operations.

• Communications for Statistical Applications and Methods
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• v.28 no.4
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• pp.351-368
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• 2021

For a probabilistic model with positively skewed data, a lognormal distribution is one of the key distributions that play a critical role. Several lognormal models can be found in various areas, such as medical science, engineering, and finance. In this paper, we propose a new estimator for a lognormal mean and depict the performance of the proposed estimator in terms of the relative mean squared error (RMSE) compared with Shen's estimator (Shen et al., 2006), which is considered the best estimator among the existing methods. The proposed estimator includes a tuning parameter. By finding the optimal value of the tuning parameter, we can improve the average performance of the proposed estimator over the typical range of σ². The bias reduction of the proposed estimator tends to exceed the increased variance, and it results in a smaller RMSE than Shen's estimator. A numerical study reveals that the proposed estimator has performance comparable with Shen's estimator when σ² is small and exhibits a meaningful decrease in the RMSE under moderate and large σ² values.

• Journal of the Semiconductor & Display Technology
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• v.16 no.4
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• pp.97-102
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• 2017

Object detection and tracking have become one of the most active research areas in the past few years, and play an important role in computer vision applications over our daily life. Many tracking techniques are proposed, and Camshift is an effective algorithm for real time dynamic object tracking, which uses only color features, so that the algorithm is sensitive to illumination and some other environmental elements. This paper presents and implements an effective moving object detection and tracking to reduce the influence of illumination interference, which improve the performance of tracking under similar color background. The implemented prototype system recognizes object using invariant features, and reduces the dimension of feature descriptor to rectify the problems. The experimental result shows that that the system is superior to the existing methods in processing time, and maintains better problem ratios in various environments.