• Journal of agriculture & life science
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• v.46 no.4
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• pp.101-111
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• 2012

Soybean cyst nematode(SCN) (Heterodera glycines Ichinohe) causes the greatest yield loss to soybean compared to any other pest worldwide. Yield loss due to SCN is estimated 7.6 million megagrams in the USA and nearly 9 million worldwide. SCN causes yield reductions by feeding on plant nutrients, retarding root growth, and inhibiting Bradyrhizpbium japonicum(Kirchner) Buchanan nodulation. The primary methods for controlling SCN include planting resistant cultivars and rotation with nonhost crops. Genetically diverse field populations of SCN combined with the limited germplasm base of commercial soybean for resistance could potentially leads to population shifts over time, and this makes controlling H. glycines more difficult. This paper reviewed the importance of soybean, soybean cyst nematode, researches on resistance to SCN, and prospects. Tremendous effort must still be endeavored for elucidating resistance mechanisms and managing H. glycines in the soybean field.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.11
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• pp.155-162
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• 2019

The construction industry is the highest safety accident causing industry as 28.55% portion of all industries' accidents in Korea. In particular, falling is the highest accidents type composed of 60.16% among the construction field accidents. Therefore, we analyzed the factors of major disaster affecting the fall accident and then derived feature importances by considering various variables. We used data collected from Korea Occupational Safety & Health Agency (KOSHA) for learning and predicting in the proposed model. We have an effort to predict the degree of occupational fall accidents by using the machine learning model, i.e., Adaboost, short for Adaptive Boosting. Adaboost is a machine learning meta-algorithm which can be used in conjunction with many other types of learning algorithms to improve performance. Decision trees were combined with AdaBoost in this model to predict and classify the degree of occupational fall accidents. HyOperpt was also used to optimize hyperparameters and to combine k-fold cross validation by hierarchy. We extracted and analyzed feature importances and affecting fall disaster by permutation technique. In this study, we verified the degree of fall accidents with predictive accuracy. The machine learning model was also confirmed to be applicable to the safety accident analysis in construction site. In the future, if the safety accident data is accumulated automatically in the network system using IoT(Internet of things) technology in real time in the construction site, it will be possible to analyze the factors and types of accidents according to the site conditions from the real time data.

• International Area Studies Review
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• v.21 no.1
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• pp.247-279
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• 2017

Korean firms are faced with the necessity of creating new markets in 21st century. Korean economy has witnessed the accelerated growth rate of trade volume during the period from the latter part of 20th century to the early part of 21st century. In recent times, Korean export volumes have been stagnated. For the second take off, Korea has to create a new ASEAN BOP market. In order to penetrate into the ASEAN BOP Market, it is necessary for exporting firms to have a partnership with ASEAN countries via ODA. In particular, Public-Private Partnership(PPP) might be seen as an effective tool to access the BOP market in ASEAN region. The international development cooperation based on PPP will establish the humanitarian values as well as economic values through the combined effort of government and business enterprises. This study suggests four kinds of business model to have a mutual cooperation between Korean firms and ASEAN markets.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.4
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• pp.19-37
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• 2021

The purpose of this study is to apply the characteristics of David Hockney's paintings to fashion illustration and thereby, review how pure art can be harmoniously grafted onto fashion commodities and thereupon, suggest a far more developed and unique fashion illustration. For the research, this study analyzed David Hockney's late painting works, after the 1980s; the analysis was focused on photo collages, multiple perspectives, the movement of the viewpoint, and lights and colors. In order to produce an artwork, the researcher selected 4 painting works; one work for decade for the period from the 1980s to the 2010s. This study selected 'shoes' as subjects for expression in an effort to depart from the convention approach of focusing on apparel and thereby, suggest some differentiated fashion illustrations. In terms of the artwork production size, four canvases #5 were combined into a set, and thus, a total of four sets were developed. The results are as follows. First, it was very interesting to develop a fashion illustration making use of David Hockney's paintings, and it was proven that the fashion illustration applying the sensitivity of the pure art would provide a unique sense of art. Secondly, as the boundary among disciplines becomes blurred, painting provides a new source of insights and motifs to the diverse design areas to satisfy diversified human needs, and furthermore, the development and diversified application of the fashion illustrations could be confirmed. Thirdly, David Hockney's differentiated world of art, technique of expression and sensitive colors could well be applied to fashion illustrations. This study proves that we fashion artists can depart from the conventional expressions focused on the apparel to expand the fashion illustration into lady's high heels.

• Smart Structures and Systems
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• v.29 no.1
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• Smart Structures and Systems
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• v.29 no.1
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• pp.93-103
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• 2022

With the wider availability of sensor technology through easily affordable sensor devices, several Structural Health Monitoring (SHM) systems are deployed to monitor vital civil infrastructure. The continuous monitoring provides valuable information about the health of the structure that can help provide a decision support system for retrofits and other structural modifications. However, when the sensors are exposed to harsh environmental conditions, the data measured by the SHM systems tend to be affected by multiple anomalies caused by faulty or broken sensors. Given a deluge of high-dimensional data collected continuously over time, research into using machine learning methods to detect anomalies are a topic of great interest to the SHM community. This paper contributes to this effort by proposing a relatively new time series representation named "Shapelet Transform" in combination with a Random Forest classifier to autonomously identify anomalies in SHM data. The shapelet transform is a unique time series representation based solely on the shape of the time series data. Considering the individual characteristics unique to every anomaly, the application of this transform yields a new shape-based feature representation that can be combined with any standard machine learning algorithm to detect anomalous data with no manual intervention. For the present study, the anomaly detection framework consists of three steps: identifying unique shapes from anomalous data, using these shapes to transform the SHM data into a local-shape space and training machine learning algorithms on this transformed data to identify anomalies. The efficacy of this method is demonstrated by the identification of anomalies in acceleration data from an SHM system installed on a long-span bridge in China. The results show that multiple data anomalies in SHM data can be automatically detected with high accuracy using the proposed method.

• Journal of Soil and Groundwater Environment
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• v.28 no.5
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• pp.59-67
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• 2023

This review examined the current administrative policies and guidelines for management of reclaimed soils after remediation processes and proposed practical strategies to improve the potential value of the remediated soil as a resource. Three management practices are proposed to facilitate more efficient recycling of remediated soil; obligatory use, quality certification, and tracking of the remediated soils. If properly implemented in utilization of remediated soil, these strategies could contribute to enhancing public safety by assuring soil quality. Such administrative tools, for both suppliers and demanders, are expected to mitigate potential risks associated with the transactions of remediated soil. To enhance the quality assurance process, a soil quality certification combined with the soil health assessment index was proposed. The systematic integration of the suggested practices with soil health assessment can allow to produce optimal results, encompassing affordability, efficiency, and accessibility, which helps establishing more robust 'Remediated Soil Recycling Management System (RSRMS)'. Subsequent researches should be conducted to develop more effective policies that incorporate soil health assessment tools. The proposed management practices for remediated soil, coupled with soil health assessment, can be a pioneering effort to achieve such goals. By fostering an environmentally friendly policies, the sustainable utilization of remediated soil can be attained. Overall, the proposed strategies can provide a sound framework for responsible and sustainable soil management practices.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.165-176
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• 2014

This study is directed to examine the most useful restoration strategies for turning the customers' dissatisfaction caused by unsuccessful spa service to the satisfaction through each fair factors and tries to suggest the practical schemes to cope with complaints and dissatisfaction of spa service customers by establishing the system dealing with customers' complaints. And this verifies the relationship between the alternative attraction and the intention of conversion as the action after the restoration from the unsuccessful services. Moreover, it analyzes the mediation effect that a formation of reliance through the restoration of unsuccessful services has. To achieve the purpose of this study, the subject got decided as women who are customers of private spa facilities situated in Seoul and Gyeonggi-do region for the purpose of skin care in 1 year recently. After understanding their experiences of complaining about the services, this study investigates the alternative attraction and the intention of conversion as the next action and the perception of fairness and trust in the efforts of Spa service business for recovery. As the result of verifying hypothesis, it is shown that the recovery satisfaction increases when the 3 points of the distributive justice, procedural justice, and interactional justice, which are the fairness factors of the effort to restore services according to the quality of service, are more positive. In the relation among recovery satisfaction, trust, the alternative attraction, and the intention of conversion, the result was that recovery satisfaction affects trust in positive way and alternative attraction in negative way. However, the positive and meaningful result came out in contrast with the hypothesis which predicted the negative effect of recovery satisfaction on the intention of conversion. Furthermore, it means that indirect effectiveness which carries trust and alternative attraction should be considered instead of the direct effectiveness that the recovery satisfaction affects on the intention of conversion. In this study, it can be interpreted that the combined increase of the trust and the alternative attraction makes the intention of conversion higher rather than the higher intention of conversion following the decrease of the recovery satisfaction in view of the result that the indirect effectiveness is high between the recovery effort and the intention of conversion. In the relation among the intention of conversion, trust, and alternative attraction, the intention of conversion got influenced in positive way and negative way by trust and alternative attraction respectively and trust influenced the alternative attraction negatively as well. It means the high quality of services or the recovery of services has a direct causation which carries conviction to the customers' intention of action.

• Journal of dental hygiene science
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• v.12 no.2
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• pp.123-129
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• 2012

The aim of study was to compare the color parameters and mean color difference of porcelain specimens by different veneering technique in order to examine the effect of veneering technique on esthetics of yttria-stabilized tetragonal zirconia polycrystalline(Y-TZP) all ceramic restoration. Three groups of square-shaped core ceramic specimens(14mm in diameter and 0.3, 0.5, 0.7 mm) and two groups of veneering ceramic specimen were prepared for analysis. Color parameter($L^*,a^*,b^*$) and color difference of zirconia core squares and core-veneer specimens were measured with ShadeEye $NCC^{(R)}$ spectrophotometer, respectively. Mean color difference(${\Delta}E^*$)were calculated using color difference formula. Two-way analysis of variance(ANOVA) combined with a Tukey multiple-range test were used to analysis the data(${\alpha}=0.05$). ${\Delta}E^*$ values were not significantly affected by core thickness and veneering porcelain(p=0.083). The color differences(${\Delta}E^*$) of core-veneer specimens with 0.5, 0.7 mm-A1,A2,A3.5 shade were mostly below 3.7 which was within the clinically acceptable range, while color differences between 0.3 mm-A1,A2 showed more than 3.7. All-ceramic system has color characteristics that clinicians have to consider when selecting materials. Also, manufacturers of different porcelain systems must make every effort to achieve color reproducibility.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.48 no.3
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• pp.169-172
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• 2003

Intact seeds of burcucumber (Sicyos angulatus L.) are not nearly germinated so that the farmers remove their arils before sowing. The study was carried out to measure the effort of aging, chilling, washing, chemical treatment, drying, and their sequential treatments on the germination of ones with arils and the seedling emergence. The seeds extruding over 1mm of their radicles and the seedlings with fully expanded cotyledons were counted daily for calculating the germination and the seedling emergence rates. Seedcoat softening using 10% NaOH solution somewhat enhanced their germination rate of the intact seeds harvested in the current year, but aging treatment done on 6 days at $45^{\circ}C$ after NaOH treatment increased the germination rate more than only NaOH treatment. A day washing after the NaOH treatment and a day chilling after the washing increasingly elevated the rates as well. Irrigation of 0.2% $\textrm{KNO}_3$ solution, moreover, showed the greatest germination rate of the priming treatments done during all the 7 day chilling. Drying the seeds after the combined treatment of chilling and priming more inclined the germination rate than nondrying ones, but red light treated during 24 hour desiccation was more effective in the germination rate increment than dark condition. The seeds done the sequential treatments of aging, NaOH, washing, combining chilling and priming and drying under red light illumination were germinated up to 80% but seedlings were emerged to 60%, lower than ones removed their arils.