• Title/Summary/Keyword: 구조변경

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The Effect of the National Pension Service' Activism on Earning Management after Adoption of the Korea Stewardship Code

  • Kwon, Ye-Kyung
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.1
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    • pp.183-191
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    • 2022
  • The Korea Stewardship Code 'Principles on the Fiduciary Responsibilities of Institutional Investors' was introduced in 2016 and the National Pension Service adopted it in 2018. the National Pension Service casted 'dessent' vote on the agenda which is able to reduce the ownership interest of shareholder in general meeting. This paper examines whether 'dissent' voting affected on the ownership interest of shareholder or not. The 'dissent' vote on the agenda are related to revision artical of corperation, appointment or compensation of director and auditor, approval of financial statements ect. The proxies of earnings management is discretionary accruals calculated by modified Jones model. The control variablies are size of assets, liabilities per assets, returns on assets. The results of this study are as followings. First, the 'dissent' voting on the agenda are related to revision artical of corperation, M&A, approval of financial statements ect. are not significant because their sample size is too small, Second, the 'dissent' voting on appointment of director and auditor affected on reduction of discretionary accruals. So the National Pension Service activism shall affect on increasing the ownership interest of shareholder. Third, the 'dissent' voting on compensation of director and auditor is not affected on reduction of discretionary accruals. This results show that 'unconditional dissent voting' on the agenda in general meeting is not to reduce the ownership interest of shareholder.

A Study on Atmospheric Data Anomaly Detection Algorithm based on Unsupervised Learning Using Adversarial Generative Neural Network (적대적 생성 신경망을 활용한 비지도 학습 기반의 대기 자료 이상 탐지 알고리즘 연구)

  • Yang, Ho-Jun;Lee, Seon-Woo;Lee, Mun-Hyung;Kim, Jong-Gu;Choi, Jung-Mu;Shin, Yu-mi;Lee, Seok-Chae;Kwon, Jang-Woo;Park, Ji-Hoon;Jung, Dong-Hee;Shin, Hye-Jung
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.260-269
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    • 2022
  • In this paper, We propose an anomaly detection model using deep neural network to automate the identification of outliers of the national air pollution measurement network data that is previously performed by experts. We generated training data by analyzing missing values and outliers of weather data provided by the Institute of Environmental Research and based on the BeatGAN model of the unsupervised learning method, we propose a new model by changing the kernel structure, adding the convolutional filter layer and the transposed convolutional filter layer to improve anomaly detection performance. In addition, by utilizing the generative features of the proposed model to implement and apply a retraining algorithm that generates new data and uses it for training, it was confirmed that the proposed model had the highest performance compared to the original BeatGAN models and other unsupervised learning model like Iforest and One Class SVM. Through this study, it was possible to suggest a method to improve the anomaly detection performance of proposed model while avoiding overfitting without additional cost in situations where training data are insufficient due to various factors such as sensor abnormalities and inspections in actual industrial sites.

The Effect of Hydraulic Efficiency on the Design Variables of an Overtopping Wave Energy Converter (월파수류형 파력발전구조물의 상부 사면 설계변수에 따른 수력학적 효율 영향 연구)

  • An, Sung-Hwan;Kim, Geun-Gon;Lee, Jong-Hyun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.1
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    • pp.168-174
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    • 2022
  • In a wave power generation system, the overtopping system is known as an overtopping wave energy converter (OWEC). The performance of an OWEC is affected by wave characteristics such as height and period because its power generation system is sensitive to those characteristics; these, as well as wave direction, depend on the sea. As these characteristics vary, it is hard for the OWEC to produce power in a stable manner. Therefore, it is necessary to find an appropriate shape for an OWEC, according to the characteristics of the sea it is in. This research verified the effect of the design of the OWEC ramp on the hydraulic efficiency using the smoothed particle hydrodynamics (SPH) particle method. A total of 10 models were designed and used in simulations performed by selecting the design parameters of the ramp and changing the attack angle based on those parameters. The hydraulic efficiency was calculated based on the rate of discharged water obtained from the analysis result. The effect of each variable on the overtopping performance according to the shape of the ramp was then confirmed. In this study, we present suggestions for determining the direction for an appropriately shaped OWEC ramp, based on a specific sea area.

A Code Clustering Technique for Unifying Method Full Path of Reusable Cloned Code Sets of a Product Family (제품군의 재사용 가능한 클론 코드의 메소드 경로 통일을 위한 코드 클러스터링 방법)

  • Kim, Taeyoung;Lee, Jihyun;Kim, Eunmi
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.1
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    • pp.1-18
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    • 2023
  • Similar software is often developed with the Clone-And-Own (CAO) approach that copies and modifies existing artifacts. The CAO approach is considered as a bad practice because it makes maintenance difficult as the number of cloned products increases. Software product line engineering is a methodology that can solve the issue of the CAO approach by developing a product family through systematic reuse. Migrating product families that have been developed with the CAO approach to the product line engineering begins with finding, integrating, and building them as reusable assets. However, cloning occurs at various levels from directories to code lines, and their structures can be changed. This makes it difficult to build product line code base simply by finding clones. Successful migration thus requires unifying the source code's file path, class name, and method signature. This paper proposes a clustering method that identifies a set of similar codes scattered across product variants and some of their method full paths are different, so path unification is necessary. In order to show the effectiveness of the proposed method, we conducted an experiment using the Apo Games product line, which has evolved with the CAO approach. As a result, the average precision of clustering performed without preprocessing was 0.91 and the number of identified common clusters was 0, whereas our method showed 0.98 and 15 respectively.

A Study on Prediction of Land Use Demand in Seongnam-city Using System Dynamics (시스템 다이내믹스 기법을 활용한 성남시 토지이용수요 예측에 관한 연구)

  • Yi, Mi Sook;Shin, Dong Bin;Kim, Chang Hoon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.4
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    • pp.261-273
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    • 2022
  • This study aims to predict the land use demand of Seongnam-city using system dynamics and to simulate the effect of changes in family structure and land use density adjustment policy on land use demand. This study attempted to construct causal loop diagrams and an analysis model. The changes in land use demand over time were predicted through simulation results. As a result of the analysis, as of 2035, an additional supply of 2.08 km2 for residential land and 1.36 km2 for commercial land is required. Additionally, the current supply area of industrial land can meet the demand. Three policy experiments were conducted by changing the variable values in the basic model. In the first policy experiment, it was found that when the number of household members decreased sharply compared to the basic model, up to 7.99 km2 of additional residential land were required. In the second policy experiment, if the apartment floor area ratio was raised from 200% to 300%, it was possible to meet the demand for residential land with the current supply area of Seongnam-city. In the third policy experiment, it was found that even if the average number of floors in the commercial area was raised from four to five and the building-to-land ratio in the commercial area was raised from 80% to 85%, the demand for commercial land exceeded the supply area of the commercial area in Seongnam-city. This study is meaningful in that it proposes a new analytical model for land use demand prediction using system dynamics, and empirically analyzes the model by applying the actual urban planning status and statistics of Seongnam-city.

SNIPE Mission for Space Weather Research (우주날씨 관측을 위한 큐브위성 도요샛 임무)

  • Lee, Jaejin;Soh, Jongdae;Park, Jaehung;Yang, Tae-Yong;Song, Ho Sub;Hwang, Junga;Kwak, Young-Sil;Park, Won-Kee
    • Journal of Space Technology and Applications
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    • v.2 no.2
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    • pp.104-120
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    • 2022
  • The Small Scale magNetospheric and Ionospheric Plasma Experiment (SNIPE)'s scientific goal is to observe spatial and temporal variations of the micro-scale plasma structures on the topside ionosphere. The four 6U CubeSats (~10 kg) will be launched into a polar orbit at ~500 km. The distances of each satellite will be controlled from 10 km to more than ~1,000 km by the formation flying algorithm. The SNIPE mission is equipped with identical scientific instruments, Solid-State Telescopes(SST), Magnetometers(Mag), and Langmuir Probes(LP). All the payloads have a high temporal resolution (sampling rates of about 10 Hz). Iridium communication modules provide an opportunity to upload emergency commands to change operational modes when geomagnetic storms occur. SNIPE's observations of the dimensions, occurrence rates, amplitudes, and spatiotemporal evolution of polar cap patches, field-aligned currents (FAC), radiation belt microbursts, and equatorial and mid-latitude plasma blobs and bubbles will determine their significance to the solar wind-magnetosphere-ionosphere interaction and quantify their impact on space weather. The formation flying CubeSat constellation, the SNIPE mission, will be launched by Soyuz-2 at Baikonur Cosmodrome in 2023.

Analysis of Spatial Characteristics of Old Building Districts to Evaluate Fire Risk Factors (화재 위험요소의 도출을 위한 노후건축지구의 공간구성 특성분석)

  • Son, Byeung-Hun;Kang, Kyung-Ha;Ryu, Jung-Rim;Roh, Seung-Jun
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.1
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    • pp.69-80
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    • 2022
  • The proportion of buildings over 30 years old in Korea has increased, from 29.0% in 2005 to 37.8% in 2019. These old buildings were built during a time in which there was a lack of building-related safety standards in areas such as fire safety performance. Worse, during their years of use, many such old buildings have had illegal changes and extensions made, making them more vulnerable in terms of safety. Fire safety investigations are being conducted to prevent large-scale disasters in multi-use buildings, but no investigation has been conducted at the regional district level, where small-scale old buildings are concentrated. Therefore, to identify fire risk factors in the old building district where old buildings are concentrated, the composition characteristics of the buildings were first analyzed. To examine the spatial characteristics of old building districts in order to derive fire risk factors, the results of this analysis based on the structure, use, roof type, and year of approval for use are as follows. It was found through our analysis that as of the date of approval for the use of the building, the main structure of the building has the greatest impact.

Development of an Algorithm for Automatic Quantity Take-off of Slab Rebar (슬래브 철근 물량 산출 자동화 알고리즘 개발)

  • Kim, Suhwan;Kim, Sunkuk;Suh, Sangwook;Kim, Sangchul
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.5
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    • pp.52-62
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    • 2023
  • The objective of this study is to propose an automated algorithm for precise cutting length of slab rebar complying with regulations such as anchorage length, standard hooks, and lapping length. This algorithm aims to improve the traditional manual quantity take-off process typically outsourced by external contractors. By providing accurate rebar quantity data at BBS(Bar Bending Schedule) level from the bidding phase, uncertainty in quantity take-off can be eliminated and reliance on out-sourcing reduced. In addition, the algorithm allows for early determination of precise quantities, enabling construction firms to preapre competitive and optimized bids, leading to increased profit margins during contract negotiations. The proposed algorithm not only streamlines redundant tasks across various processes, including estimating, budgeting, and BBS generation but also offers flexibility in handling post-contract structural drawing changes. In particular, the proposed algorithm, when combined with BIM, can solve the technical problems of using BIM in the early phases of construction, and the algorithm's formulas and shape codes that built as REVIT-based family files, can help saving time and manpower.

A Study on the Development of Authenticity Scale Perceived by Players on the Business Sport Team (실업팀 선수가 지각하는 진정성 척도 개발에 관한 연구)

  • Kyung-Won Byun;Min-Kyu Choi
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.141-152
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    • 2023
  • The scale of the authenticity perceived by the athletes of the domestic business team was developed. Through this, it is intended to accumulate information and authenticity research on human resource management of unemployment teams. The authenticity scale was developed through a total of 6 steps by referring to previous studies on the scale development process at domestic and international. In the first stage, the basic composition was confirmed through the review of previous studies.In the second stage, preliminary questions were drawn through in-depth interviews with 13 players belonging to the business team. In the third stage, the authenticity attribute and structure were confirmed through an expert meeting. In the fourth stage, the appropriateness of the items was verified through exploratory factor analysis and reliability analysis of 248 people. In the 5th stage, 288 subjects were tested for construct validity, convergent validity, and discriminant validity through confirmatory factor analysis, correlation analysis, and reliability analysis. The sixth step was to verify the relationship through regression analysis with the performance variables to examine the applicability and predictability of the developed scale. Through the above procedures, 4 dimensions of organizational authenticity and 18 measurement items were developed, and 3 dimensions of leader authenticity and 18 measurement items were developed.

Preparation and Characterization of ClO2 Self-Releasing Smart Sachet (이산화염소 자체 방출 스마트 샤쉐의 제조 및 특성 연구)

  • Junseok Lee;Hojun Shin;Sadeghi Kambiz;Jongchul Seo
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.29 no.1
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    • pp.1-7
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    • 2023
  • Chlorine dioxide (ClO2) is widely used for post-harvest sterilization treatment. However, there are limitations in the retail application of ClO2 due to difficulties in handling, expensive facilities, and safety concerns. Therefore, it is necessary to develop a ClO2 technology that can be easily applied and continuously released for a long period. In this study, a series of ClO2 self-releasing sachets were developed. First, poly(ether-block-amide) (PEBAX) and polyethylene-glycol (PEG) composite films containing different ratios of citric acid (CA) were prepared using the solution casting method. The as-prepared PEBAX/PEG-CA composite films were evaluated using FT-IR, DSC, and TGA to confirm chemical structure and thermal properties. Subsequently, PEBAX/PEG-CA composite films were designed in the form of a sachet and NaClO2 powder was transferred into the sachet to achieve a ClO2 self-releasing system. The ClO2-releasing behavior of the sachet was investigated by measuring the release amount of the gas using UV-vis. The release amount of ClO2 increased with increasing CA contents owing to the existence of higher protons (trigger) in the polymer matrix. Further, ClO2 gas was released for a longer time. Therefore, the as-prepared smart sachet can be tuned according to applications and packaging sizes to serve an optimal sterilization effect.