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On the Application of Traditional Chinese Cultural Symbols and Modern Literary Symbols in Zhang Yimou's Film (장예모의 영화 ≪영≫의 중국문화상징과 현대문화상징의 응용에 관한 내용)

  • Tao, Duan
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.5
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    • pp.83-89
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    • 2019
  • Zhang yimou's film "the shadow" adopts a lot of modern literary symbolic content in the story structure. The novel has been greatly modified, abandoning the setting of the original work and making up the historical background of the story, thus completing the discourse practice of aerial literature rather than historical literature. The film expresses the historical story poetically and even writes the personal mind. In this way, the audience's sense of substitution is increased, and a large number of traditional Chinese cultural symbols are adopted visually. In terms of clothing, the most traditional is sought, which advocates loyalty to history, and adds cultural connotation and depth. The audience can feel the bold and unfettered artistic creation spirit of the main creator, as well as the novel and unique visual expression style, which makes his works have both traditional visual perception and modern story content. The combination of traditional vision and modern drama forms a new visual and cultural experience.

WE CAN Cookies A Case Study in a Pioneering Social Enterprise in South Korea

  • Chang, Dae Ryun;Choi, Kyongon
    • Asia Marketing Journal
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    • v.14 no.4
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    • pp.23-33
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    • 2013
  • This case focuses on WE CAN Cookies, a social enterprise in South Korea that was founded in 2001 with the support of the Korean Roman Catholic Church. WE CAN Cookies specializes in the making of high quality organic cookies. As a nonprofit organization that uses a labor force of mostly mentally disabled workers, the company faces many challenges that normal companies do not experience. The company had to initially overcome the social prejudice that the handicapped cannot make good cookies. Despite the religious background and social agenda of the company, it started making inroads as a cookie-making business only after its managers, including the nuns who run it began adopting modern management philosophies and practices. The WE CAN Cookies case illustrates three main marketing-related concepts: One, WE CAN Cookies is a good example of how social enterprises face a broader spectrum of challenges when compared to conventional profit-seeking enterprises. Two, WE CAN Cookies demonstrates that social enterprises need flexibility in formulating their business strategies. Even though WE CAN Cookies is subject to many constraints, as a social enterprise it can also take advantage of new opportunities for obtaining support from the government and from the private sector. Three, WE CAN Cookies shows that these types of operations need to create greater balance in their social and business competencies to ensure the long term viability. Social enterprises are certified by governments with the stated goal of improving the lives and the wellbeing of special interest group. As important as achieving these objectives are, social enterprises also must additionally be able to build their operational capabilities not only in manufacturing but also in functions such as marketing.

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Classification of Vibration Signals for Different Types of Failures in Electric Propulsion Motors for Ships Using Data from Small-Scale Apparatus (소형 모사 장비의 데이터를 이용한 선박용 전기 추진 모터의 고장 유형별 진동 신호의 분류)

  • Seung-Yeol Yoo;Jun-Gyo Jang;Min-Sung Jeon;Jae-Chul Lee;Dong-Hoon Kang;Soon-Sup Lee
    • Journal of the Society of Naval Architects of Korea
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    • v.60 no.6
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    • pp.441-449
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    • 2023
  • With the enforcement of environmental regulations by the International Maritime Organization, the market for eco-friendly ships is expanding, and ships using electric propulsion devices are emerging as a promising solution. Many studies have been conducted to predict the failure of ships, but most of them are mainly research on the main diesel engine of ships. As the ship's propulsion method changes, new data is needed to predict the failure of electric propulsion ships. In this paper aims to analyze the failure characteristics of the electric propulsion system in consideration of the difference in the type of failure between the internal diesel engine and the electric propulsion system. The ship's propulsion unit assumed a DC motor and a signal pattern for normal conditions and general failure modes, but the failure record of the electric propulsion device operated on the actual ship was not available, so it generated a failure signal for small electric motor equipment to identify the failure signal. Assuming unbalance, misalignment, and bearing failure, which are the primary failure modes of the ship's electric motor, a failure signal was generated using a "rotator vibration data generator," and the frequency band, size, and phase difference of the measured vibration signal were analyzed to analyze the characteristics of each failure condition. Finally, the characteristics of each failure condition were identified so that the signals according to the failure type could be classified.

Damage identification in a wrought iron railway bridge using the inverse analysis of the static stress response under rail traffic loading

  • Sidali Iglouli;Nadir Boumechra;Karim Hamdaoui
    • Smart Structures and Systems
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    • v.32 no.3
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    • pp.153-166
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    • 2023
  • Health monitoring of civil infrastructures, in particular, old bridges that are still in service, has become more than necessary, given the risk that a possible degradation or failure of these infrastructures can induce on the safety of users in addition to the resulting commercial and economic impact. Bridge integrity assessment has attracted significant research efforts over the past forty years with the aim of developing new damage identification methods applicable to real structures. The bridge of Ouled Mimoun (Tlemcen, Algeria) is one of the oldest railway structure in the country. It was built in 1889. This bridge, which is too low with respect to the level of the road, has suffered multiple shocks from various machines that caused considerable damage to its central part. The present work aims to analyze the stability of this bridge by identifying damages and evaluating the damage rate in different parts of the structure on the basis of a finite element model. The applied method is based on an inverse analysis of the normal stress responses that were calculated from the corresponding recorded strains, during the passage of a real train, by means of a set of strain gauges placed on certain elements of the bridge. The results obtained from the inverse analysis made it possible to successfully locate areas that were really damaged and to estimate the damage rate. These results were also used to detect an excessive rigidity in certain elements due to the presence of plates, which were neglected in the numerical reference model. In the case of the continuous bridge monitoring, this developed method will be a very powerful tool as a smart health monitoring system, allowing engineers to take in time decisions in the event of bridge damage.

The effect of ambidextrous strategic balance on the management performance of venture businesses (양손잡이 전략균형이 벤처기업 경영성과에 미치는 영향)

  • Se-jong Yoo;Yong-seok Cho;Woo-hyoung Kim
    • Korea Trade Review
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    • v.48 no.1
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    • pp.83-126
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    • 2023
  • The revenue histogram of venture businesses is shifting from bell-shaped normal distribution to power-law distribution, which implies that the fitness landscape of the venture businesses ecosystem is changing to be more rugged terrain. We argue that the firm should adopt both exploitation (fast follower) and exploration (or first mover) strategies not to get stuck in local maxima in the rugged fitness landscape from the complex system perspective. By designing and performing agent-based modeling simulation experiments which consist of three types of agents (new technologies, entrepreneurs, and consumers), we demonstrated that the ambidexterity strategy showed the highest performance score in three of four different environment except 'Fast Widening' case where the exploitation strategy showed the highest performance score under low technology appropriation and fast disruptive technology development speed. By investigating the financial and other statistics of 617 top venture businesses who have earned 100B won or higher annual revenue, we concluded that 82% and 9% of firms are bent on the exploitation and exploration strategy.

Comparative Analysis of Runway Ultimate Capacity using Wake Turbulence Re-Categorization (Wake Turbulence RECAT을 적용한 활주로 절대 수용량 비교 분석)

  • Jeongwoo Park;Huiyang Kim;SungKwan Ku
    • Journal of Advanced Navigation Technology
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    • v.25 no.6
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    • pp.498-509
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    • 2021
  • The wake turbulence at the wingtip of preceding aircraft may affect the normal operation of following aircraft. Aircraft are classified into four categories according to their maximum take-off weight, and horizontal separation is applied with this category matrix. The FAA and EUROCONTROL revealed that the magnitude and effect of preceding aircraft wake turbulence were smaller than the current distance separation minima suggest. This new information presents the opportunity for revising wake turbulence minima into seven categories (RECAT). This paper confirms the feasibility of implementing RECAT at major airports in South Korea using the draft of ICAO Doc. 10122. The paper also calculates the ultimate runway capacity of Incheon International Airport in South Korea using the Harris Model and comparatively analyzes the amount of runway capacity. As a result of the analysis, it was confirmed that the implementation of RECAT could increase the ultimate runway capacity of Incheon International Airport. This paper's calculation methods and results can be used as primary data for implementing RECAT in other airports.

Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs

  • Hyoung Suk Park;Kiwan Jeon;Yeon Jin Cho;Se Woo Kim;Seul Bi Lee;Gayoung Choi;Seunghyun Lee;Young Hun Choi;Jung-Eun Cheon;Woo Sun Kim;Young Jin Ryu;Jae-Yeon Hwang
    • Korean Journal of Radiology
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    • v.22 no.4
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    • pp.612-623
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    • 2021
  • Objective: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs. Materials and Methods: Of 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to construct a dataset that was further divided into training (80%), validation (10%), or test sets (10%). Three radiologists were asked to label the hip images as normal or DDH. To investigate the diagnostic performance of the deep learning algorithm, we calculated the receiver operating characteristics (ROC), precision-recall curve (PRC) plots, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared them with the performance of radiologists with different levels of experience. Results: The area under the ROC plot generated by the deep learning algorithm and radiologists was 0.988 and 0.988-0.919, respectively. The area under the PRC plot generated by the deep learning algorithm and radiologists was 0.973 and 0.618-0.958, respectively. The sensitivity, specificity, PPV, and NPV of the proposed deep learning algorithm were 98.0, 98.1, 84.5, and 99.8%, respectively. There was no significant difference in the diagnosis of DDH by the algorithm and the radiologist with experience in pediatric radiology (p = 0.180). However, the proposed model showed higher sensitivity, specificity, and PPV, compared to the radiologist without experience in pediatric radiology (p < 0.001). Conclusion: The proposed deep learning algorithm provided an accurate diagnosis of DDH on hip radiographs, which was comparable to the diagnosis by an experienced radiologist.

Asymmetric GARCH model via Yeo-Johnson transformation (Yeo-Johnson 변환을 통한 비대칭 GARCH 모형)

  • Hwan Sik Jung;Sinsup Cho;In-Kwon Yeo
    • The Korean Journal of Applied Statistics
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    • v.37 no.1
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    • pp.39-48
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    • 2024
  • In this paper, we introduce an extended GARCH model designed to address asymmetric leverage effects. The variance in the standard GARCH model is composed of past conditional variances and past squared residuals. However, it is not possible to model asymmetric leverage effects with squared residuals alone, so in this paper, we propose a new extended GARCH model to explain the leverage effects using the Yeo-Johnson transformation which adjusts transformation parameter to make asymmetric data more normal or symmetric. We utilize the reverse properties of Yeo-Johnson transformation to model asymmetric volatility. We investigate the characteristics of the proposed model and parameter estimation. We also explore how to derive forecasts and forecast intervals in the proposed model. We compare it with standard GARCH and other extended GARCH models that model asymmetric leverage effects through empirical data analysis.

The Impact of Right Atrial Size to Predict Success of Direct Current Cardioversion in Patients With Persistent Atrial Fibrillation

  • Christoph Doring;Utz Richter;Stefan Ulbrich;Carsten Wunderlich;Micaela Ebert;Sergio Richter;Axel Linke;Krunoslav Michael Sveric
    • Korean Circulation Journal
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    • v.53 no.5
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    • pp.331-343
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    • 2023
  • Background and Objectives: The prognostic implication of right atrial (RA) and left atrial (LA) size for an immediate success of direct current cardioversion (DCCV) in atrial fibrillation (AF) remains unclear. This study aimed to compare RA and LA size for the prediction of DCCV success. Methods: Between 2012 and 2018, 734 consecutive outpatients were screened for our prospective registry. Each eligible patient received a medical history, blood analysis, and transthoracic echocardiography with a focus on indexed RA (iRA) area and LA volume (iLAV) prior to DCCV with up to three biphasic shocks (200-300-360 J) or additional administration of amiodarone or flecainide to restore sinus rhythm. Results: We enrolled 589 patients, and DCCV was in 89% (n=523) successful. Mean age was 68 ± 10 years, and 40% (n=234) had New York heart association class >II. A prevalence of the male sex (64%, n=376) and of persistent AF (86%, n=505) was observed. Although DCCV success was associated with female sex (odds ratio [OR], 1.88; 95% confidence interval [CI], 1.06-3.65), with absence of coronary heart disease and normal left ventricular function (OR, 2.24; 95% CI, 1.26-4.25), with short AF duration (OR, 1.93; 95% CI, 1.05-4.04) in univariable regression, only iRA area remained a stable and independent predictor of DCCV success (OR, 0.27; 95% CI, 0.12-0.69; area under the curve 0.71), but not iLAV size (OR, 1.16; 95% CI, 1.05-1.56) in multivariable analysis. Conclusions: iRA area is superior to iLAV for the prediction of immediate DCCV success in AF.

The behavior of concrete filled steel tubular columns infilled with high-strength geopolymer recycled aggregate concrete

  • Rajai Z. Al-Rousan;Haneen M. Sawalha
    • Steel and Composite Structures
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    • v.51 no.6
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    • pp.661-678
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    • 2024
  • The utilization of geopolymer recycled aggregate concrete (GRAC) as the infilled core of the concrete-filled steel tubular (CFST) columns provides superior economic and environmental benefits. However, limited research exists within the field of geopolymer recycled aggregate concrete considered a green and sustainable material, in addition to the limitation of the design guidelines to predict the behavior of such an innovative new material combination. Moreover, the behavior of high-strength concrete is different from the normal-strength one, especially when there is another material of high-strength properties, such as the steel tube. This paper aims to investigate the behavior of the axially loaded square high-strength GRACFST columns through the nonlinear finite element analysis (NLFEA). A total of thirty-two specimens were simulated using ABAQUS/Standard software with three main variables: recycled aggregate replacement ratio (0, 30, and 50) %, width-to-thickness ratios (52.0, 32.0, 23.4, and 18.7), and length-to-width ratio (3, 5, 9, and 12). During the analysis, the response in terms of the axial load versus the longitudinal strain was recorded and plotted. In addition, various mechanical properties were calculated and analyzed. In view of the results, it has been demonstrated that the mechanical properties of high-strength GRACFST columns such as ultimate load-bearing capacity, compressive stiffness, energy absorption capacity, and ductility increase with the increase of the steel tube thickness owing to the improvement of the confinement effect of the steel tube. In contrast, the incorporation of the recycled aggregate adversely affected the mentioned properties except the ductility, while the increase of the recycled aggregate replacement ratio improved the column's ductility. Moreover, it has been found that the increase in the length-to-width ratio significantly reduced both the failure strain and the energy absorption capacity. Finally, the obtained NLFEA results of the ultimate load-bearing capacity were compared with the corresponding predicted capacities by numerous codes. It has been concluded that AISC, ACI, and EC give conservative predictions for the ultimate load-bearing capacity since the confinement effect was not considered by these codes.