• Journal of Korea Entertainment Industry Association
• /
• v.13 no.3
• /
• pp.343-350
• /
• 2019

As an important visual element, color in animated films can not only depicts the reality, but also conveys emotion and meanings, which play an important role in shaping the space of animated films. As one of the most outstanding animated films, Coco uses bold and unique color language to shape the film space. It uses the national color to blend the Mexican culture into the story space making it full of Mexican regional and cultural connotation, uses color contrast to shape the physical space, highlighting the three-dimensional and deep sense of the physical space. And also uses color association to create the psychological space, leading audience into the spiritual world of the film. Based on the analysis of the Coco, we an see that when shape the film space of animation, the film maker should give full play to the characteristics and function of color, and apply different color language to shape different space according to the role of the film space, so as to expand and deepen the connotation and expressiveness of film space.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.163-168
• /
• 2013

A construction workspace is considered as a critical factor to secure constructability and safety of a project. Specially, optimized size of each workspace helps to minimize any conflicts between workspaces, works and resources within a workspace in the construction site. However, since an existing method for making a decision workspace's size depends on generally experiences of managers and work conditions of activity, it is difficult to perform safe works considering feasible workspace size. The workspace size is changed according to the quantity of resources allocated into each activity as time progresses. Accordingly, it is desirable that optimized workspace size considering input size of resources is determined. To solve these issues, this study configures an optimized model for deciding standard size of workspaces by simple regression analysis and develops a visualized scenario model for simulating the optimized workspace shape in order to support BIM (Building Information Modeling) environment. For this, this study determines an optimized resource shape size considering maximum working radius of each resource and constructs its visual model. Subsequently, input size of resources for each activity is estimated considering safety execution area of resources and workspaces. Based on this, an optimized 3D workspace shape is generated as a VR simulation model of a BIM system based on the suggested methodologies. Moreover, operational feasibility of the developed system is evaluated through a case study for a bride project. Therefore, this study provides a visualized framework so that project managers can establish an efficient workspace planning in BIM environment. Besides, it is expected that constructability, productivity and safety of the project will be improved by minimizing conflicts between workspace and congestions between resources within a workspace in the construction phase.

• Korean Journal of Remote Sensing
• /
• v.40 no.1
• /
• pp.93-101
• /
• 2024

Accurate field crop classification is essential for various agricultural applications, yet existing methods face challenges due to diverse crop types and complex field conditions. This study aimed to address these issues by combining support vector machine (SVM) models with multi-seasonal unmanned aerial vehicle (UAV) images, texture information extracted from Gray Level Co-occurrence Matrix (GLCM), and RGB spectral data. Twelve high-resolution UAV image captures spanned March-October 2021, while field surveys on three dates provided ground truth data. We focused on data from August (-A), September (-S), and October (-O) images and trained four support vector classifier (SVC) models (SVC-A, SVC-S, SVC-O, SVC-AS) using visual bands and eight GLCM features. Farm maps provided by the Ministry of Agriculture, Food and Rural Affairs proved efficient for open-field crop identification and served as a reference for accuracy comparison. Our analysis showcased the significant impact of hyperparameter tuning (C and gamma) on SVM model performance, requiring careful optimization for each scenario. Importantly, we identified models exhibiting distinct high-accuracy zones, with SVC-O trained on October data achieving the highest overall and individual crop classification accuracy. This success likely stems from its ability to capture distinct texture information from mature crops.Incorporating GLCM features proved highly effective for all models,significantly boosting classification accuracy.Among these features, homogeneity, entropy, and correlation consistently demonstrated the most impactful contribution. However, balancing accuracy with computational efficiency and feature selection remains crucial for practical application. Performance analysis revealed that SVC-O achieved exceptional results in overall and individual crop classification, while soybeans and rice were consistently classified well by all models. Challenges were encountered with cabbage due to its early growth stage and low field cover density. The study demonstrates the potential of utilizing farm maps and GLCM features in conjunction with SVM models for accurate field crop classification. Careful parameter tuning and model selection based on specific scenarios are key for optimizing performance in real-world applications.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.5
• /
• pp.43-52
• /
• 2023

Traffic accidents among children have been decreasing after the installation of yellow carpets. However, the explanatory power of the causal relationship between yellow carpet installation and traffic accidents is still insufficient. The yellow carpet effect was analyzed in greater depth using virtual reality (VR) simulation experiments in various situation that could not be evaluated in existing actual vehicle research studies due to difficulties or risks in implementation. A target site where an actual yellow carpet was installed was selected and, implemented into a virtual environment. Subjects were made to, were gaze measurement equipment and ride the simulator. The visual/driving behavior before and after yellow carpet installation was compared, and a t-test analysis was performed for statistical verification. All the results were found to be statistically significant.

• Journal of The Korea Institute of Healthcare Architecture
• /
• v.29 no.4
• /
• pp.69-77
• /
• 2023

Purpose: During the COVID-19 pandemic, there have been many cases of converting regular hospital wards into temporary negative pressure isolation wards. The purpose of this study is to evaluate the minimum airflow differences that satisfies the pressure difference criteria(-2.5 Pa) according to airtightness of switching type wards, in preparation for utilization of aging regular wards as negative pressure isolation wards. Methods: Visual inspection and field measurements were conducted using blower door to evaluate airtightness of 5 hospital wards. CONTAM simulation was used to assess the airflow differences when pressure difference between the corridor and wards met the criteria at various levels of airtightness. Results: The ACH₅₀ of evaluated wards ranged from 19.3 to 50.1 h^-1 with an average of 37.0 h^-1, indicating more than four times leakier than other building types. The minimum airflow differences increased as the airtightness of the wards decreased and the size of the wards increased. Implications: When operating rapidly converted negative pressure isolation wards, understanding airtightness is crucial for determining the minimum airflow differences to maintain the pressure differences. The analysis of this study suggests that improving the airtightness of aging rooms is essential and the minimum airflow differences should be suggested considering both the airtightness and size of rooms.

• Korean Journal of Construction Engineering and Management
• /
• v.25 no.3
• /
• pp.58-67
• /
• 2024

In the era of the fourth industrial revolution, data plays a vital role in enhancing the productivity of industries. To advance digitalization in the construction industry, which suffers from a lack of available data, this study proposes a model that classifies construction site photos by work types. Unlike traditional image classification models that solely rely on visual data, the model in this study includes semantic analysis of construction work types. This is achieved by extracting the significance of relationships between objects and work types from the standard construction specification. These relationships are then used to enhance the classification process by correlating them with objects detected in photos. This model improves the interpretability and reliability of classification results, offering convenience to field operators in photo categorization tasks. Additionally, the model's practical utility has been validated through integration into a classification program. As a result, this study is expected to contribute to the digitalization of the construction industry.

• PNF and Movement
• /
• v.22 no.1
• /
• pp.129-137
• /
• 2024

Purpose: The aim of this study was to investigate and compare the risk factors focusing on the neck and lower back between general workers (GW) and mild intellectual disability workers (MIDW) in the automobile manufacturing industry. Methods: A total of 32 participants were required for this study design to achieve 80% power, 0.9 effect size, and an alpha level of 0.05. Each group consisted of 16 subjects, including GW and MIDW. Pain levels in the neck and lower back were measured for all participants using the visual analog scale (VAS). A dual digital inclinometer was used to measure the range of motion (ROM) in the neck and lower back three times, and the average was used for analysis. The independent t-test was used to compare between the wo groups. Cohen's d effect analysis was employed to determine the effect size. The significant level was set at 0.05. Results: In the MIDW, neck pain was significantly higher, and left cervical flexion was significantly decreased compared with the GW. There was no significant difference in lower back pain between the MIDW and GW. However, both lumbar flexion and extension, as well as lateral flexion, were significantly reduced in the MIDW compared with the GW. Conclusion: This study reveals that MIDW working in the automobile manufacturing industry have a greater risk of neck pain, limitation in left cervical flexion, and overall restriction in the ROM of the lower back compared with GW.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.2
• /
• pp.125-139
• /
• 2024

The corporate logo symbolizes the company's value, goals and vision as a visual symbol representing the company. It serves as a communication tool for companies by conveying different messages depending on design and color. As demands for ESG management have recently increased, companies have begun to implicitly demonstrate values such as environmental protection and corporate transparency through logos. Companies use logos as a strategy to visually emphasize the value they pursue and project the desired image as a signal. In this process, stakeholders who see the logo experience cognitive bias. Therefore, this study seeks to find out that ESG value can be indirectly communicated by the design of corporate logos, which can also affect a company's ESG evaluation. In addition, this study will examine the moderate effect that logos expect to encounter a greater bias effect as the companies actively include ESG-related issues in corporate disclosure data. This study conducted an analysis of 617 KOSPI-listed companies using ESG evaluation data from 2020 to 2022. The analysis confirmed the significant relation of the type of logo and ESG disclosure on ESG evaluation but found partially moderate effect of ESG disclosure.

• Journal of Korean Medicine Rehabilitation
• /
• v.34 no.1
• /
• pp.83-95
• /
• 2024

Objectives This review was conducted to evaluate the therapeutic effects of manual acupuncture (MA) for shoulder impingement syndrome (SIS). Methods We searched 12 electronic databases (DBpia, Korean studies Information Service System [KISS], Oriental Medicine Advanced Searching Integrated System [OASIS], Research Information Sharing Service [RISS], China National Knowledge Infrastructure [CNKI], CINAHL, Clinical Key, Cochrane Library, Embase, JAMA, PubMed, Web of Science) to find randomized-controlled clinical trials (RCTs) investigating therapeutic effects of MA for treating SIS. Shoulder Pain and Disability Index scores and numeric pain rating scale or visual analogue scale were analyzed as the main evaluation criteria. Results Among 181 studies, 169 were screened and only 12 RCTs were eligible in our review. Finally, 11 RCTs could be statistically analyzed. MA was more effective than sham treatment and physical therapy in terms of reducing pain (p=0.003, p=0.0007 each). Electroacupuncture (EA) showed more significant effect than physical therapy (PT) for improving shoulder pain (p<0.00001) and shoulder functionality (p<0.00001). Conclusions These results suggest that MA and EA could be superior option for treating SIS than sham treatment or PT. However this review has its limitations due to the small sample size and lack of well-designed RCTs that were included in the study. Further well-designed RCTs are necessary to provide high-level evidence.

• Tribology and Lubricants
• /
• v.40 no.4
• /
• pp.111-117
• /
• 2024

Due to global CO₂ emission reductions and fuel efficiency regulations, the trend toward transitioning from internal combustion engine vehicles to electric vehicles (EVs) has accelerated. Consequently, the problem of EV failures has become a focal point of active research. The parasitic capacitance generated during motor-shaft rotation induces voltage that deteriorates the raceway and ball surfaces of bearings, causing electrical damage in EVs. Despite numerous attempts to address this issue, most studies have been conducted under high viscosity lubricant and low load conditions. However, due to factors such as high-speed operation, rapid acceleration and deceleration, motor heating, and motor system-decelerator integration, current EV applications have shown diminished stability in lubrication films of motor bearings, thereby leveraging the investigation to address the risk of electrical damage. This study investigates the electrical damage to rolling bearing elements in EV motor drive systems. The experimental analysis focuses on the effects of electric currents and operational loads on bearing integrity. A test rig is designed to generate high-rate voltage specific to a motor system's parasitic capacitance, and bearing samples are exposed to these currents for specified durations. Component evaluation involves visual inspections and vibration measurements. In addition, a predictive model for electrical failure is developed based on accumulated data, which demonstrates the ability to predict the likelihood of electrical failure relative to the duration and intensity of current exposure. This in turn reduces uncertainties in practical applications regarding electrical erosion modes.