• Archives of design research
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• v.18 no.3 s.61
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• pp.95-104
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• 2005

Although the volume and complexity of available information have increased, our ability to process such volume of complex information has not been met with corresponding development. Information designers have been given the responsibility to address such unbalanced progress by developing effective visual systems to deliver and communicate such information to the masses in a manner that is quick and easy to process and understand. This study originated in recognition of these issues. This study seeks to find a solution to these issues in rhetorics in order to proliferate visual communications in recognition of the increasing importance of information and visual communication. Rhetorics, a field of study with a long history of analyzing the delivery of communication, provides numerous possibilities for the re-establishment of importance placed on visual information communication. Included in this study are (i) a thorough analysis of the principals of expression and logic offered by rhetorics, as applicable to information design (ii) a proposal to the solution to the above-mentioned issues encompassing the rhetoric process and methods of expression of information design and (iii) the practical application of these design principals to social activities. In order to provide an example of the practical use of the rhetoric methodology Presented in this study, we applied the rhetoric methodology to the 'Information Design for Public Transportation of Seoul.' and developed a new map and a guidebook. The raw data necessary for the foregoing were obtained through the analysis of the information designs that are currently in use in connection with mass transportation in Seoul and the survey evaluation conducted among Seoul residents. We modulated the infrastructure of Seoul by using 48 TAZs, computed the routes that are most likely to be used, and proposed the predictable information analysis process. The design proposed on this study encompasses color coding and use of combined information, and application of style and sequential information analysis process.

• Journal of Navigation and Port Research
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• v.44 no.3
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• pp.195-202
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• 2020

The production of larger of ships is a survival strategy for global shipping companies to pursue the economics of scale. According to this strategy, to respond to this situation, many containers are loading/unloading simultaneously in the hub port. Additionally, the container terminals are promoting the introduction of automation to expand the terminal facilities and increase efficiency/productivity of the container yards. European ports have introduced automation to address rising labor costs and shortages of labor. Recently, the construction of fully automated container terminals is increasing in the United States and China to resolve problems such as the slow growth of the global economy, the emergence of large ships, air pollution, and safety accidents. Domestic ports are at an early stage compared to the world's advanced container terminals, and countermeasures are being prepared to respond to the changing ports. However, research on the recognition difference analysis that examines the opinions of stakeholders is insufficient. As a result of analyzing the recognition among the groups, it was found that container terminal operators reduced labor costs, improved shipping services for shipping companies, prevented safety accidents for port union labor, and increased service for port authority and government agencies. Thus, to closely examine the perception among the groups, one-way ANOVA was performed, and then the implications were deduced as the basic data for the smooth introduction of automation.

• Journal of the Korean Chemical Society
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• v.65 no.2
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• pp.133-144
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• 2021

Science teachers in elementary schools and secondary schools recognize the necessity of character education, feeling difficulties such as evaluation methods, mood of competition, extra work and lack of time according to previous research, which were based on answers from science teachers not experiencing character education. As a rare study of teacher experiencing, previous researches didn't fully address the problems and suggestions about adopting character education in science classrooms. This study is about teacher practice of character education on site with the CoProC (Collaborative Problem-Solving for Character Competence) program in science classes with which other previous studies shed new light. Five teachers, adapting the CoProC program in their science classes, participated in two interviews, sharing their student achievement in character education. Results showed that student achievement was high when their teacher had experienced the training program, development, and classes of CoProC rather than their normal teaching career. Teacher recognition on the aims of CoProC influenced difficulties, evaluation, and feedback.

• Journal of Life Science
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• v.33 no.12
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• pp.1062-1073
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• 2023

Although depression is a common psychiatric disorder that negatively affects individuals and societies, its exact pathogenesis is not well understood. Stress is a major risk factor for depression and is known to increase susceptibility by triggering inflammation. Indeed, many preclinical and clinical studies have suggested a strong link between depression and inflammation. Depression is associated with increased levels of pro-inflammatory cytokines, such as interleukin (IL-)1β, IL-6, IL-12, tumor necrosis factor-α, and interferon-γ, and decreased levels of the anti-inflammatory IL-4, IL-10, and transforming growth factor-β. Administering pro-inflammatory cytokines causes depression-like behaviors in rodents. Conversely, administering anti-inflammatory drugs appears to ameliorate depressive symptoms. Although the importance of inflammation as a mediator of depression has been demonstrated, the mechanisms by which inflammation is activated in depression remain unclear. To address this issue, recent studies have focused on the importance of stress-induced sterile inflammation. Sterile inflammation refers to the activation of inflammatory processes due to physical and/or psychological stress in the absence of pathogens. Stress promotes the release of endogenous factors known as damage-associated molecular patterns (DAMPs), thereby triggering sterile inflammation. In turn, DAMPs are recognized by pattern recognition receptors, leading to the production of pro-inflammatory cytokines. Here, we review the role of DAMPs in depression based on preclinical and clinical evidence on the dysregulation of sterile inflammation.

• Journal of IKEEE
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• v.28 no.2
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• pp.150-157
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• 2024

In this paper, we propose a novel algorithm for predicting the number of apples on an apple tree using a deep learning-based object detection model and a polynomial regression model. Measuring the number of apples on an apple tree can be used to predict apple yield and to assess losses for determining agricultural disaster insurance payouts. To measure apple fruit load, we photographed the front and back sides of apple trees. We manually labeled the apples in the captured images to construct a dataset, which was then used to train a one-stage object detection CNN model. However, when apples on an apple tree are obscured by leaves, branches, or other parts of the tree, they may not be captured in images. Consequently, it becomes difficult for image recognition-based deep learning models to detect or infer the presence of these apples. To address this issue, we propose a two-stage inference process. In the first stage, we utilize an image-based deep learning model to count the number of apples in photos taken from both sides of the apple tree. In the second stage, we conduct a polynomial regression analysis, using the total apple count from the deep learning model as the independent variable, and the actual number of apples manually counted during an on-site visit to the orchard as the dependent variable. The performance evaluation of the two-stage inference system proposed in this paper showed an average accuracy of 90.98% in counting the number of apples on each apple tree. Therefore, the proposed method can significantly reduce the time and cost associated with manually counting apples. Furthermore, this approach has the potential to be widely adopted as a new foundational technology for fruit load estimation in related fields using deep learning.

• Journal of Korean Society of Rural Planning
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• v.14 no.2
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• pp.33-42
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• 2008

Recently, rural leisure by urban dwellers has been recognized as a catalyst for regional development or restoration. The federal government implemented several regional planning policies attempting to address this phenomenon in the late nineties. However, most of these policies focused on supply-centered planning, which caused a diverse set of problems relating to the sustainability and economic validity of the planning. Instead, this study focuses on the re-visitation one of the demand variables, with the intention of analyzing the character of rural leisure demand and its re-visitation choice attributes. For these reasons, this study investigates the character of current rural leisure demand, and develops functional equations about urban people who visit rural areas, using logit model. The results of this study can be summarized as follow: Urban people are visiting rural areas from nearby cities or metropolitan areas that are within 3 hours driving distance, and over 80% of rural visitors are one-day visitors. Therefore, most of their visitation activities should be understood as rural leisure, including rural tourism. In addition, the likelihood of the rural tourist to make a return visit is influenced by their transportation means, product purchasing, staying period and travel time. The results of such rural leisure demand can provide information for regional planning strategies, such as selection of target market, type of market segments, improvement of recognition level, activity program price, facility and space planning, produce sale and connection with tour site.

• The Journal of Korean Association of Computer Education
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• v.12 no.4
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• pp.57-64
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• 2009

Protein structure comparison is a task that requires a lot of computing resources because many atoms in proteins need to be processed. To address the issue, Grid computing environment has been employed for processing time-consuming jobs in a distributed manner. However, controling the Grid computing environment may not be easy for non-experts. In this paper, we present a JXTA-based system for protein structure comparison that can be easily controled by non-experts. To search proteins similar to a query protein, the geometric hashing algorithm that consists of preprocessing and recognition was employed. Experimental results indicate that the system can find the correct protein structure for a given query protein structure and the proposed system can be easily extended to solve the protein docking problem. It is expected that the proposed system can be useful for non-experts, especially users who do not have sophisticated knowledge of distributed systems in general such as college students who major in biology or chemistry.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.4
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• pp.8-16
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• 2003

In terms of climate change communities have only during the 1990s begun to recognize that all greenhouse gas(GHG) emissions are directly or indirectly generated locally, through acts of agency, production or consumption. This has provided a boost to the role of local places in the debate since GHGs can be allocated and made understood locally and hence form the basis for specific policies, programs, plans and projects. The objectives of this study are to define a framework for making Environmentally Friendly City through enhancing integrated energy-urban policies and present framework to do comprehensive evaluation on energy related policies response and also explore the interrelation between energy related activities in each sector and policy and applies to Seoul mega city in Korea. Despite the growing recognition of the seriousness of urban environmental problems and their contribution to global environmental and social concerns, most analysts continue to study cities in parts rather than as a whole; we study sectoral sub-systems such as transport, air pollution or energy. While specialization is useful for detailed thinking, we also need to see each issue in the context of how each city works environmentally, economically, socially and politically. We therefore need integrative approaches to study of cities and need to understand how they function as systems. These framework presented in this study allows an organized and systematic analysis. These research results can provide useful, credible and timely input into the urban planning process. This study will be a helpful exercise to draw some policy implications of other cities in Korea and also East Asia that are in a similar stage with the these cities and developing plans on how to address them.

• Journal of KIISE
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• v.43 no.12
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• pp.1356-1364
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• 2016

This paper proposes a novel aesthetic photo recomposition method using a deep convolutional neural network (DCNN). Previous recomposition approaches define the aesthetic score of photo composition based on the distribution of salient objects, and enhance the photo composition by maximizing the score. These methods suffer from heavy computational overheads, and often fail to enhance the composition because their optimization depends on the performance of existing salient object detection algorithms. Unlike previous approaches, we address the photo recomposition problem by utilizing DCNN, which shows remarkable performance in object detection and recognition. DCNN is used to iteratively predict cropping directions for a given photo, thus generating an aesthetically enhanced photo in terms of composition. Experimental results and user study show that the proposed framework can automatically crop the photo to follow specific composition guidelines, such as the rule of thirds.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.448-458
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• 2009

This study suggested speech generation device(SGD) program to materialize the proper communication aids which address to language abilities by students with cerebral palsy in the stage of word recognition achievement. This SGD program aim at function of learning mediation and communication expression by synchronization not restrict aim of AAC aids' employment to the only function of communication expression. And this SGD was designed to evaluate language abilities of student with cerebral palsy through analysis of the date offered at this program, and then might utilize to set learning goals and objects, modify teaching contents. This SGD program have a meaning on contribution to possible teaching the user AAC aids, students with cerebral palsy by whole language approach in natural environment but in artificial situation at script.