• Journal of Korean Academy of Nursing Administration
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• v.4 no.1
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• pp.89-105
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• 1998

Modern organizations, both complicated and complex, operate in an economic climate of· turbulence and rapid change. And Today's healthcare environment is changing, driven by demographic, environmental. social, political and technological forces. In actual practice, the organization usually depend on several factors such as economic state of organization, managerial strategies, a synthesis of several theories that reflect individual biases, specific circumstances, and practical realities. These rapidly changing healthcare environment and professional nursing practice need a strategy for the organizational development and goal attainment. An understanding of organizational culture could help managers enhance or expand their management strategy, thus increasing the probability of their success in the organization. Organizational culture is an abstract, yet potent managerial concept. With roots in several disciplines, several perspectives and definitions of organizational culture have emerged. The concept of organizational culture has been rapidly introduced into the academic and organizational world, with the much attention to the excellent companies that have continued rapid grow th despite the overall world economic recession in the late of 1970s. Organizational culture is the combination of the symbols, language, assumptions, and behaviors that overtly manifest an organization's norm and values. It is the taken-for-granted and shared meanings people assign to their social surroundings that can have a profound effect on an organizaitonal decision making and performance. For attaining a organizational goal and developing organization, it is necessary to put emphasis on developing organizational culture. It has to set organizational culture well understood by its members as an instrument to achieve the organizational goals. Both Manager and staff can focus and act on the values identified. Also, managers will exhibit better decision making capabilities because they are guided by perception of the organizational values. Therefore, understanding of organizational culture could give a strategy for organizational development that assist hiring personnel, orienting new comers, facilitating organizational change and promoting learning and so on. But their is few study on nursing organizational culture in Korea. Moreover they have not had a clear definition of Korean nursing organizational culture. Therefore, it is necessary to lay down definition of Korean nursing organizational culture and fine out real factor of Korean nursing culture. For defining a definition of Korean nursing organizational culture, this study assessed several definitions of organizational culture, factors of culture, types of culture, and functions of culture through book review.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.7
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• pp.61-68
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• 2008

In this paper, we propose an efficient hardware architecture and algorithm to increase an encoding process rate and implement a hardware for CABAC (Context Adaptive Binary Arithmetic Coding) which is used with one of the entropy coding ways for the latest video compression technique, H.264/AVC (Advanced Video Coding). CABAC typically provides a better high compression performance maximum 15% compared with CAVLC. However, the complexity of operation of CABAC is significantly higher than the CAVLC. Because of complicated data dependency during the encoding process, the complexity of operation is higher. Therefore, various architectures were proposed to reduce an amount of operation. However, they have still latency on account of complicated data dependency. The proposed architecture has two techniques to implement efficient pipeline architecture. The one is quick calculation of 7, 8th bits used to calculate a probability is the first step in Binary arithmetic coding. The other is one step reduced pipeline arcbitecture when the type of the encoded symbols is MPS. By adopting these two techniques, the required processing time was reduced about 27-29% compared with previous architectures. It is designed in a hardware description language and total logic gate count is 19K using 0.18um standard cell library.

• Archives of design research
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• v.19 no.6 s.68
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• pp.27-32
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• 2006

TYME is an interactive typography program based on the ephemeral nature of time. It is a text based poetic tool, built with Processing. This project is presented as a performance that utilizes a computer with a display screen, a projector, and speakers. As the user types, white characters appear, flow on the score on the screen and trigger jazz sounds, then characters disappear into black space in several seconds on the screen like smoke. Typography from this invented instrument is evocative and wistful, and allows the user to associate with ephemeral time. While typing the characters as though playing an instrument at intervals of time, the user can freeze the motion and print out or save otherwise fleeting moment with a button. I intend to contain both characteristics: the amorphous shape of smoke and the elusive attribute of smoke for the expression of intangible and ephemeral time. Every alphabetic shape is derived from the video dips that I shot of smoke. The resulting alphabetic images are then programmed using the Processing scripting language and which can then be typed on the screen with a keyboard. TYME could be a model as a project that reflects the unfixed quality of digital typography, and as a design approach for interactive expressive typography by scripting code. This project also represents the characteristics of typographic play, which can be realized in an computational environment like this model.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.4
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• pp.78-86
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• 1999

In this paper, a distributed arithmetic digital neural network with learning and testing phase implemented in a body has been studied. The proposed technique is based on the two facts; one is that the weighting coefficients adjusted will be stored in registers without shift, because input values or input patterns are not changed while learning and the other is that the input patterns stored in registers are not changed while testing. The proposed digital neural network is simulated by hardware description language such as VHDL and verified the performance that the neural network was applied to the recognition of seven-segment. To verify proposed neural networks, we compared the learning process of modified perceptron learning algorithm simulated by software with VHDL for 7-segment number recognizer. The results are as follows: There was a little difference in learning time and iteration numbers according to the input pattern, but generally the iteration numbers are 1000 to 10000 and the learning time is 4 to 200$\mu\textrm{s}$. So we knew that the operation of the neural network is learned in the same way with the learning of software simulation, and the proposed neural networks are properly operated. And also the implemented neural network can be built with less amounts of components compared with board system neural network.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.10
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• pp.217-230
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• 2012

This paper propose interacting test programming methods between test equipment and hardware unit to verify function and performance of the hardware unit under test. Proposed test program can minimizes the risk of failures when the unit is mounted on the aircraft by testing and verifying the unit under the worst stress condition. Also, Object oriented design using UML make it easy to apply in other equipments. Test program consists of architecture package and hardware package. Architecture package is in a role for system management, log analysis, message receiving and message analysis. Messages that are used by system management define messages for testing and defined messages is sent and received to test equipment through Ethernet. Hardware package is in a role for hardware management that is needed to be tested and is related to a system. Hardware to be tested is divided into internal test and transmission test. Internal test inspects hardware itself and reports the test results to the test equipment. Transmission test inspects communication device by sending or receiving data. All kinds of test is done in the worst condition of the test unit executing in parallel. Each device is tested at least 482 times and at most 15,003 times about one hour. Test program is utilized in hardware reliability test like as environmental test or EMI test.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.447-458
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• 2010

Time expressions are a very important form of information in different types of data. Thus, the recognition of a time expression is an important factor in the field of information extraction. However, most previously designed systems consider only a specific domain, because time expressions do not have a regular form and frequently include different ellipsis phenomena. We present a two-level recognition method consisting of extraction and transformation phases to achieve generality and portability. In the extraction phase, time expressions are extracted by atomic time units for extensibility. Then, in the transformation phase, omitted information is restored using basis time and prior knowledge. Finally, every complete atomic time unit is transformed into a normalized form. The proposed system can be used as a general-purpose system, because it has a language- and domain-independent architecture. In addition, this system performs robustly in noisy data like SMS data, which include various errors. For SMS data, the accuracies of time-expression extraction and time-expression normalization by using the proposed system are 93.8% and 93.2%, respectively. On the basis of these experimental results, we conclude that the proposed system shows high performance in noisy data.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.4
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• pp.203-210
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• 2017

In this paper, we propose an effective neural network model for image caption generation and model transfer. This model is a kind of multi-modal recurrent neural network models. It consists of five distinct layers: a convolution neural network layer for extracting visual information from images, an embedding layer for converting each word into a low dimensional feature, a recurrent neural network layer for learning caption sentence structure, and a multi-modal layer for combining visual and language information. In this model, the recurrent neural network layer is constructed by LSTM units, which are well known to be effective for learning and transferring sequence patterns. Moreover, this model has a unique structure in which the output of the convolution neural network layer is linked not only to the input of the initial state of the recurrent neural network layer but also to the input of the multimodal layer, in order to make use of visual information extracted from the image at each recurrent step for generating the corresponding textual caption. Through various comparative experiments using open data sets such as Flickr8k, Flickr30k, and MSCOCO, we demonstrated the proposed multimodal recurrent neural network model has high performance in terms of caption accuracy and model transfer effect.

• Environmental and Resource Economics Review
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• v.18 no.2
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• pp.217-239
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• 2009

As gas hydrate is recently emerging as a new energy source to solve environmental and exhaustion problems caused by fossil energy, Korea is working on a gas hydrate development project under a 10-year plan from 2005 to 2014. Gas hydrate is expected to have a big effect on the economy and society of Korea, which is largely depending on energy imports besides water energy and atomic energy. However, it is uncertain whether the project will produce successful results. Thus, it is very important to improve its validity and to propose effective execution strategies by evaluating the value of the project in advance. Thus, this study intended to include new information, which had not been evaluated in existing methods, and to reduce biases or errors in value evaluation results by applying a fuzzy risk analysis to the real option model in order to evaluate the value of a gas hydrate development project. It is advantageous that the real option model based on the fuzzy risk analysis modelizes the vagueness and inexactness of intangible element judgment into an appropriate language scale so as to evaluate these elements clearly and integrate them with estimated financial performance results. The application of the fuzzy risk analysis makes it possible to conduct an analysis by dissolving a decision-making issue with complicated and various attributes into several simplified problems. With the continuing high oil prices and today's demand of clean energy, the necessity of energy resources and technology development projects keeps growing. Amid this situation, it is expected that these study results will contribute to proposing a guideline not only for gas hydrate projects but also for policy decision-making related to future energy industries.

• Journal of the Korean Society for information Management
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• v.32 no.2
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• pp.131-152
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• 2015

This study described the results of converting RDB to RDF ontology by each of R2RML method and Non-R2RML method. This study measured the size of the converted data, the conversion time per each tuple, and the response speed to queries. The STNet, a structured terminology dictionary based on RDB, was served as a test bed for converting to RDF ontology. As a result of the converted data size, Non-R2RML method appeared to be superior to R2RML method on the number of converted triples, including its expressive diversity. For the conversion time per each tuple, Non-R2RML was a little bit more faster than R2RML, but, for the response speed to queries, both methods showed similar response speed and stable performance since more than 300 numbers of queries. On comprehensive examination it is evaluated that Non-R2RML is the more appropriate to convert the dynamic RDB system, such as the STNet in which new data are steadily accumulated, data transformation very often occurred, and relationships between data continuously changed.

• Cartoon and Animation Studies
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• s.45
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• pp.177-195
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• 2016

This article analyzes Sergei Eisenstein's acting theory, which is famous for his Russian montage. According to the existing discussions, he avoids the psychological realism through the concept of cut acting. It is a method like montage from the viewpoint that the practice of the cut action is segmented into shots. While Vsevolod Pudovkin, who asserts a connection montage, is looking for performance to portray a gradual change of emotion adopted by Konstantin Stanislavsky's psychological realism, Eisenstein prefers the acting of Vsevolod Meyerhold's masks in the same manner as the collision montage. This article traces the viewpoints on acting and actor that Eisenstein posed throughout his montage theory. It focuses on Film Sense(1942) and Film Form(1949), which are a collection of articles written by Eisenstein. As a result of examining the domestic and foreign literatures centering on Korean and English, it is hard to find the discussions on the analysis of Eisenstein's acting theory. Almost all of them are concentrated in his montage, among which the mention of acting is extremely limited. The cut acting, the typage, the inner techniques and processes of actor that express and induce the living emotions, and the acting of the integrating into diversity as one of the inner language are useful concepts in the creation and case analysis of contemporary films. Especially, his acting theory can be applied in the creation process of cartoons, webtoons, and animations which can meet the most decisive and impressive montage technique of Eisenstein. It is also possible to find many related cases for the analysis. This is why I look back on Eisenstein's film acting theory, and the results of the discussion will be a sufficient foundation for the derivation of related research.