School Violence is one of the most serious problems faced by Korean. As this serious problem becomes social issue in nation, many researchers have tried to find out the most effective solution of that problem and the reasons for why prevention of school violence are failed in such mind-hurting activities. The government and NGO proposed many the alternative to prevent the school violence. But the effectiveness of the alternatives art questionable. Last year Busan Metropolitan Police Agency and Busan Education Administration proposed new alternative in united cooperation which is namely Administration proposed new alternative in united cooperation which is namely 'school police' for school violence. School Police is composed of the retired teachers and ex-police officer, to do a prevention activity of school violence, which is expected to effectively curtail school violence in the assigned school. It is first networking try to prevent of school violence as a team of police and teachers in Korea. But the type of Korean school police system is different from American's school police, like as LASPD which is of sworn police officers. Korean school police is to employ a kind of school liaison officers. Though 'School Police System' got good reaction from students and citizen in Busan, It has some defects to be solved in future. So it hard to note that their efforts have been successful in curtailing the prevalence of school violence. In this paper, I present the new type of new 'Social Security Network Model' for school violence by repairing of 'korean school police system'. The problem of the school violence is not the problem of the school but the problem of society. In such viewpoints, It is important to plan a security network model which is participate in police officers, teachers, community and government. To prevent school violence effectively, I propose this new social security network model which based on theory of Community Oriented Policing, aggressive policing and CPTED technique.
The performing art is a genre which is integrated of various fields of arts, and Stage Make-up as well. Stage Make-up functions as an important means of communication which makes audience understand the characteristic facts by transforming an actor/actress into the character in the play and also, visually enlarging characters. Due to the creativeness of Stage Make-up, the conceptual study on Stage Make-up design for visual expression coincide with the intended character is needed. However, in Korea, the systematical approach for Stage Make-up design by character types has not developed, or studied yet, The result of this study is to present system model through theoretical study of psychological personality types. and to apply for the expression of characters in the play based on physiognomy(face-reading), The case study of visualizing according to an actor/actress's shape of face. is Specially focused on eyes and eyebrows. In designing Stage Make-up, eyes and eye brows are important elements as a tool for strong expression of the characters. This model of Stage Make-up design by personal type constructed in this study, is for applying methodically as professional approach on actual Stage Make-up design and educational teaching methods as well.
The meaning and role of science culture based on such values as rational thinking, creativity, critical validation has been growing in the process of discussing various social problems. In order to diffuse science culture, it is important to sustain citizen's activeness by providing contents which can induce interest on the base of two-way communication between public and experts and to support citizen activities performed voluntarily. To that end, various people such as scientist, government policymaker, communicator, those in charge of culture and art, exhibition curator should make up collaboration system and such requirement as motivation, leadership, agreement between the participants, communication, trust relationship is also to be met properly in order to proceed collaboration efficiently. This study reviews how these factors are coming true in governmental project for science culture and develops proposal for improvement on the base of opinions collected through expert meetings, interviews, workshop and data research. In addition, it explains that government must strengthen scientific cultural project personnel and lay infra such as communications hub, regional center, platform and improve the business selection method to promote competition and collaboration among project participants with reformation of reward and regulatory systems. It is performed to suggest comprehensive ways to increase efficiency of project for science culture out of not the deficit model which regard public as passive acceptant but context model or PES(public engagement in science) that take public who focus his attention and participate actively into account.
This study conducted an experiment using data mining techniques to develop prediction models of worker job turnover. The experiment used data from the '2015 Graduate Occupational Mobility Survey' by the Korea Employment Information Service. We developed the prediction models using a decision tree, Bayes net, and artificial neural network. We found that the decision tree-based prediction model reported the best accuracy. We also found that the six influential factors affecting employees' turnover intention are type of working time, job status, full-time or not full-time, regular working hours per week, regular working days per week, and personal development opportunities. From the decision tree-based prediction model, we derived 12 rules of employee turnover for all job types. Using the derived rules, we proposed helpful directions for enhancing workers' job tenure. In addition, we analyzed the influential factors affecting employees' job turnover intention according to four job types and derived rules for each: office (ten rules), culture and art (nine rules), construction (four rules), and information technology (six rules). Using the derived rules, we proposed customized directions for improving the job tenure for each group.
Journal of the Earthquake Engineering Society of Korea
/
v.12
no.4
/
pp.19-33
/
2008
Dynamic response measurements from natural excitation were carried out for 25- and 42-story buildings to evaluate their inherent properties, such as natural frequencies, mode shapes and damping ratios. Both are reinforced concrete buildings adopting a core wall, or with shear walls as the major lateral force resisting system, but frames are added in the plan or elevation. In particular, shear walls in a 25-story building are converted to frames from the 4th floor level downwards while maintaining a core wall throughout, resulting in a fairly complex structure. Due to this, along with similar stiffness characteristics in the principal directions, significantly coupled and closely spaced modes of motion are expected in this building, making identification rather difficult. By using various state-of-the-art system identification methods, the modal parameters are extracted, and the results are then compared. Three frequency-domain and four time-domain based operational modal identification methods are considered. Overall, all natural frequencies and damping ratios estimated from the different identification methods showed a greater consistency for both buildings, while mode shapes exhibited some degree of discrepancy, varying from method to method. On the other hand, in comparison with analysis results obtained using the initial finite element(FE) models, test results exhibited a significant difference of about doubled frequencies, at least for the three lower modes in both buildings. To improve the correlation between test and analysis, a few manual schemes of FE model updating based on plausible reasons have been applied, and acceptable results are obtained. The advantages and disadvantages of each identification method used are addressed, and some difficulties that might arise from the updating of FE models, including automatic procedures, for such large structures are carefully discussed.
Jang Ju-Wook;Lee Mi-Sook;Mohanty Sumit;Choi Seonil;Prasanna Viktor K.
The KIPS Transactions:PartA
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v.12A
no.5
s.95
/
pp.451-460
/
2005
We present a methodology to design energy-efficient data paths using FPGAs. Our methodology integrates domain specific modeling, coarse-grained performance evaluation, design space exploration, and low-level simulation to understand the tradeoffs between energy, latency, and area. The domain specific modeling technique defines a high-level model by identifying various components and parameters specific to a domain that affect the system-wide energy dissipation. A domain is a family of architectures and corresponding algorithms for a given application kernel. The high-level model also consists of functions for estimating energy, latency, and area that facilitate tradeoff analysis. Design space exploration(DSE) analyzes the design space defined by the domain and selects a set of designs. Low-level simulations are used for accurate performance estimation for the designs selected by the DSE and also for final design selection We illustrate our methodology using a family of architectures and algorithms for matrix multiplication. The designs identified by our methodology demonstrate tradeoffs among energy, latency, and area. We compare our designs with a vendor specified matrix multiplication kernel to demonstrate the effectiveness of our methodology. To illustrate the effectiveness of our methodology, we used average power density(E/AT), energy/(area x latency), as themetric for comparison. For various problem sizes, designs obtained using our methodology are on average $25\%$ superior with respect to the E/AT performance metric, compared with the state-of-the-art designs by Xilinx. We also discuss the implementation of our methodology using the MILAN framework.
With the shift of consumer’s spending behaviors further into emotionally-driven purchases, the role of brand is becoming even more important, which in turn, expands design’s role in the brand image strategy. The contact point between the consumers and the brand is the primary channel for building strong brand image through experience. Therefore, it is critical to comprehensively plan and manage the consumer contact point for any brand. Given the changing market conditions, the objective of this study is to define and structure an integrated design development and management system for building successful brand image. In order to do so, the research analyzed the characters of brand image, the conditions for consumer experience and the roles of emotion. The analysis into the correlation between images and emotion process model yields three natures of an image. The image 1) is based on empirical decisions, 2) expresses and conveys emotional aspects and 3) builds mental values through a sense of sympathy. Through case studies of successful designs that meet all three characteristics, the roles of a brand icon in building strong brand image and the needs for integrated design approach for implementation are defined. The methods for integrated design include 1) providing a focal point through brand image positioning, 2) utilizing visual themes based on brand image plot, 3) building a Total Identity Program to holistically manage brand images and 4) developing brand icons for brand image reinforcement.
A rapid progress has been made over last decade in the state-of-the-art earthquake structura1 engineering towards a better understanding of both the earthqauke ground motion and structural response. These efforts seek to ensure that there will be no serious injury or loss of life in the event of earthquake, and that structures can be built at minimum cost. The design of structures in general, concrete structures in particular, to resist strong ground input motions is not a simple matter, and analytical models for such structures must be developed from a design perspective that accounts for the complexities of the structural responses. The primary obj ective of earthquake structural engineering research is to ensure the safety of structures by understanding and improving a design methodology. Ideally, this would require the development of an analytical model related to a design methodology that ensures a ductile performance. For the accurate assessment of the adequacy of analytically developed model, experiments conducted to study the inplane inelastic cyclic behavior of structures should verify the analytical approach. The fundamental goal of this paper is to present and demonstrate experimentally verified analytical methods that provide the adequate degree of safety and confidience in the behavior of reinforced concrete structural components. This study further attempts to extend the developed modeling techruque for use by practicing structural engineers for both the analysis and design.Plication of the relaxed diaphragm through left thoracotomy was done and result was excellent as seen on Fig. 5. Cause of eventration of the left hemidiaphragm was due to paralysis of the left phrenic nerve which was tested during thoracotomy.
The purpose of this study is to explore the design direction of artificial intelligence convergence liberal arts subjects based on flip learning and maker education through analysis of learner needs in a non-face-to-face classroom environment caused by COVID-19. To this end, we analyzed the priorities of subject content elements by using the Borich needs assessment and The Locus for Focus model along with students' perceptions of flip learning for students who took and did not take maker education-based liberal arts courses. Based on this, it was used as basic data for designing the curriculum. The study results are as follows. First, the content elements of the artificial intelligence liberal arts curriculum based on maker education consisted of a total of 9 areas and were designed as a class using flip learning. Second, the areas with the highest demand for education are 'Artificial Intelligence Theory', 'Artificial Intelligence Programming Practice', 'Physical Computing Theory', 'Physical Computing Practice', followed by 'Convergence Project', '3D Printing Theory', '3D Printing practice' was decided. Third, most of the questionnaires regarding the application of flip learning in maker education-based artificial intelligence liberal arts subjects showed positive responses regardless of whether they took the course, and the satisfaction of the students was very high. Based on this, an artificial intelligence-based convergence liberal arts curriculum using flip learning and maker education was designed. This is meaningful in that it provides an opportunity to cultivate artificial intelligence literacy for college students by preparing the foundation for artificial intelligence convergence education in liberal arts education by reflecting the needs of students.
The purpose of this study is to examine the issues of school arts & culture education policy in Korea, using the four dimensional model of Cooper, Fusarelli, & Randall(2004). Research method is literature analysis, the accumulated policy documents and academic papers were used as the basis data. As a result, the followings are required for effective policy outcome: From the normative dimension, overcoming the pursuit of national growth ideology and bureaucratic rationality; from the structural dimension, securing of practical forms and content through the reform to the teacher mandate system in curriculum operation; from the constituentive dimension, clear division of roles among members through the change of awareness about arts & culture education; and finally from the technical dimension, rational allocation of resources based on firm educational criteria. Building upon the results, promotion of basic academic research, accepting the opinions of arts & culture education parties concerned, expansion of opportunities for cultural art experience of teachers, building up the integrated arts & culture education teacher training system, the reorganization of the teacher training system, and raising the professionalism of teaching artists.
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