• Journal of English Language & Literature
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• v.64 no.1
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• pp.25-37
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• 2018

The turning point is one of the more evocative concepts in the critic's arsenal, as it is equally suited to the evaluation and analysis of a given moment in one's day as to those of a historical event. But how does one recognize a turning point? As we find ourselves always "in the middest," both spatially and temporally, we inhabit sites that may be points at which many things may be seen to turn. Indeed, it is usually only possible to identify a turning point, as it were, from a distance, from the remove of space and time which allows for a sense of recognition, based in part on original context and in part of perceived effects. In this article, Robert T. Tally Jr. argues that the apprehension and interpretation of a turning point involves a fundamentally critical activity. Examining three models by which to understand the concept of the turning point-the swerve, the trope, and peripety (or the dialectical reversal)-Tally demonstrates how each represents a different way of seeing the turning point and its effects. Thus, the swerve is associated with a point of departure for a critical project; the trope is connected to continuous and sustained critical activity in the moment, and peripety enables a retrospective vision that, in turn, inform future research. Tally argues for the significance of the turning point in literary and cultural theory, and concludes that the identification, analysis, and interpretation of turning points is crucial to the project of criticism today.

• Journal of Korean Association for Spatial Structures
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• v.21 no.2
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• pp.41-48
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• 2021

A smart tuned mass damper (TMD) is widely studied for seismic response reduction of various structures. Control algorithm is the most important factor for control performance of a smart TMD. This study used a Deep Deterministic Policy Gradient (DDPG) among reinforcement learning techniques to develop a control algorithm for a smart TMD. A magnetorheological (MR) damper was used to make the smart TMD. A single mass model with the smart TMD was employed to make a reinforcement learning environment. Time history analysis simulations of the example structure subject to artificial seismic load were performed in the reinforcement learning process. Critic of policy network and actor of value network for DDPG agent were constructed. The action of DDPG agent was selected as the command voltage sent to the MR damper. Reward for the DDPG action was calculated by using displacement and velocity responses of the main mass. Groundhook control algorithm was used as a comparative control algorithm. After 10,000 episode training of the DDPG agent model with proper hyper-parameters, the semi-active control algorithm for control of seismic responses of the example structure with the smart TMD was developed. The simulation results presented that the developed DDPG model can provide effective control algorithms for smart TMD for reduction of seismic responses.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.3
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• pp.467-476
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• 2022

The Bank of Korea raised the benchmark interest rate by a quarter percentage point to 1.75 percent per year, and analysts predict that South Korea's policy rate will reach 2.00 percent by the end of calendar year 2022. Furthermore, because market volatility has been significantly increased by a variety of factors, including rising rates, inflation, and market volatility, many investors have struggled to meet their financial objectives or deliver returns. Banks and financial institutions are attempting to provide Robo-Advisors to manage client portfolios without human intervention in this situation. In this regard, determining the best hyper-parameter combination is becoming increasingly important. This study compares some activation functions of the Deep Deterministic Policy Gradient(DDPG) and Twin-delayed Deep Deterministic Policy Gradient (TD3) Algorithms to choose a sequence of actions that maximizes long-term reward. The DDPG and TD3 outperformed its benchmark index, according to the results. One reason for this is that we need to understand the action probabilities in order to choose an action and receive a reward, which we then compare to the state value to determine an advantage. As interest in machine learning has grown and research into deep reinforcement learning has become more active, finding an optimal hyper-parameter combination for DDPG and TD3 has become increasingly important.

• Journal of architectural history
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• v.31 no.6
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• pp.47-58
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• 2022

The purpose of this research is to understand Ko Yu-seop's perception of 'contemporary emerging architecture' in the West by investigating into his two early 1930s' articles: 'On Emerging Arts, Particularly the Cutting-edge Architecture' (Jan. 1931) and 'Russian Architecture' (Dec. 1932). As a result of the investigation, it is argued that he attempted to systematically describe his contemporary architecture, fromthe concept of 'modern' to representative architectural theories, and his suggested reference list is considered meaningful since it illustrates one aspect of how modern architectural knowledge was transferred to Korea at that time. As his limitation, however, it should be pointed out that a significant part of his writing was a verbatim translation of the Japanese critic Takao Itagaki's New Art Acquisition (1930). Nevertheless, the two articles give us a valuable understanding related to his socialist tendency, his preferred commune-type city-cum-architecture that reflects the ideology, etc. Hereafter, this understanding needs to be further discussed in both study areas of art history and architectural history in Korea.

• Journal of Drive and Control
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• v.19 no.1
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• pp.51-61
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• 2022

This paper presents a model-free system based on a framework of a backstepping sliding mode control (BSMC) with a radial basis function neural network (RBFNN) and adaptive mechanism for electro-hydraulic systems (EHSs). First, an EHS mathematical model was dedicatedly derived to understand the system behavior. Based on the system structure, BSMC was employed to satisfy the output performance. Due to the highly nonlinear characteristics and the presence of parametric uncertainties, a model-free approximator based on an RBFNN was developed to compensate for the EHS dynamics, thus addressing the difficulty in the requirement of system information. Adaptive laws based on the actor-critic neural network (ACNN) were implemented to suppress the existing error in the approximation and satisfy system qualification. The stability of the closed-loop system was theoretically proven by the Lyapunov function. To evaluate the effectiveness of the proposed algorithm, proportional-integrated-derivative (PID) and improved PID with ACNN (ACPID), which are considered two complete model-free methods, and adaptive backstepping sliding mode control, considered an ideal model-based method with the same adaptive laws, were used as two benchmark control strategies in a comparative simulation. The simulated results validated the superiority of the proposed algorithm in achieving nearly the same performance as the ideal adaptive BSMC.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.297-307
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• 2022

The simple procedural segment selection algorithm commonly used in Dynamic Adaptive Streaming over HTTP (DASH) reveals severe weakness to provide high-quality streaming services in the integrated mobile networks of various wired and wireless links. A major issue could be how to properly cope with dynamically changing underlying network conditions. The key to meet it should be to make the segment selection algorithm much more adaptive to fluctuation of network traffics. This paper presents a system architecture that replaces the existing procedural segment selection algorithm with a deep reinforcement learning algorithm based on the Asynchronous Advantage Actor-Critic (A3C). The distributed A3C-based deep learning server is designed and implemented to allow multiple clients in different network conditions to stream videos simultaneously, collect learning data quickly, and learn asynchronously, resulting in greatly improved learning speed as the number of video clients increases. The performance analysis shows that the proposed algorithm outperforms both the conventional DASH algorithm and the Deep Q-Network algorithm in terms of the user's quality of experience and the speed of deep learning.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.3
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• pp.459-474
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• 2023

Contemporary fashion criticism tends to rely solely on the established art criticism process without consideration of the distinctive characteristics of fashion. Thus, this study aims to reveal the unique roles and characteristics of fashion criticism by recognizing it as an independent field in contemporary art with its own social significance. This study will first apply traditional art criticism models to analyze and explore contemporary fashion criticism's empirical content before uncovering the uniqueness of contemporary fashion criticism by content analysis. Contemporary fashion criticism discusses not just physical objects but various topics and ideas, as well. Accordingly, the existing criticism model was modified in this study to fit contemporary fashion criticism and organized into five stages: description of historical fashion, form description, external evaluation, interpretation, and internal evaluation. Commerciality, the human body, coordination, the critic's individuality, trends, and fashion-related persons were identified as key factors of contemporary fashion criticism's uniqueness. In conclusion, rather than build a single contemporary fashion model, this study found it more effective to create individual fashion criticism models suitable for detailed fields, as these enable the discussion of multifaceted topics in the fashion field. This study is expected to serve a meaningful guide for the fashion discourses.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.343-351
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• 2014

This study poses questions on the role of a movie sequences partially deployed in the comic strips style in the movie. Though both the movie and the comic strips's image is expressed in the flat space, it is different to the reciever's manner in the interpretation of the media's narrative. Comic strip has a media's characteristic of the aggressive interpretation. It can be create the objective and critic point of view for an audience as the visual style in the ideology movie. Comic strip Style has a flat frame, a form of comic strip's mise-en-scene, montage and camera working. This paper studies expression of 'La Chinoise' using 'Comic strip style' for the objective point of view.

• Korean Chemical Engineering Research
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• v.50 no.5
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• pp.879-884
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• 2012

In this present study, Aspergillus niger NRRL 567 was cultivated on an inert support material and the effects of various fermentation parameters including temperature, nutrient solution pH, inoculation level, and moisture content were observed and optimized by one-factor-at-a-time (OFAT) and response surface methodology (RSM), sequentially. It was found that the incubation temperature of $30^{\circ}C$ with 75% moisture content, nutrient solution pH of 7.1 and inoculation level of $4.0{\times}10^6$ spores/ml were the most favorable. Again, fermentation parameters were optimized using RSM. The determined optimum condition is $26.5^{\circ}C$, pH 9.9, 75.1%, and $6.0{\times}10^6$ spores/ml. Under this optimized condition, A. niger NRRL 567 produced 118.8 g citric acid/kg dry peat moss at 72 hr. Maximum citric acid production of optimized condition by RSM represented a 1.6-fold increase compared to that obtained from control experiment.

• The Journal of the Korea Contents Association
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• v.14 no.2
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• pp.60-71
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• 2014

Images of TV that crossed the reality & the virtual reality have been discussed for a long time, Then, With what feature can TV make messages of the reality & the virtual reality maintain to achieve such a target, and in which situation will the feature be exposed? One who answered first about these questions is a German critic, G$\ddot{u}$nter Anders. Anders called the reality confused with the reality and the confused world of the virtual reality Phantom, and thought human beings would live in the reproduced world created by media machine in the long run as a world that the Phantom created would be gloomy and confusing. The media, themselves, become images, and an image creates another image. Through this process, human beings became unaware of which image the reality was indeed. As TV often created these situations, we have been already seduced into the deep Phantom world before discussing right or wrong of the situation. Of course, the media reality & the reality can't be strictly distinguished. Because the means that help to form judgement of viewers is the media. The subject of practical judgement is the media reality not human beings.