• Title/Summary/Keyword: Growing process

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Study of Pre-Filtering Factor for Effectively Improving Dynamic Malware Analysis System (동적 악성코드 분석 시스템 효율성 향상을 위한 사전 필터링 요소 연구)

  • Youn, Kwang-Taek;Lee, Kyung-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.3
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    • pp.563-577
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    • 2017
  • Due to the Internet and computing capability, new and variant malware are discovered around 1 Million per day. Companies use dynamic analysis such as behavior analysis on virtual machines for unknown malware detection because attackers use unknown malware which is not detected by signature based AV effectively. But growing number of malware types are not only PE(Portable Executable) but also non-PE such as MS word or PDF therefore dynamic analysis must need more resources and computing powers to improve detection effectiveness. This study elicits the pre-filtering system evaluation factor to improve effective dynamic malware analysis system and presents and verifies the decision making model and the formula for solution selection using AHP(Analytics Hierarchy Process)

Omni Channel System for Efficient Fitting Service and Shipping Process (효율적인 피팅 서비스와 배송 프로세스를 위한 옴니채널 시스템에 대한 연구)

  • Lim, Ji-yong;Oh, Am-suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.2
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    • pp.373-378
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    • 2017
  • While on-line shopping markets are growing, consumer's procurement processes are being confused regardless of on or off line market and, smart consumers who want intelligent tailored services have emerged. Depending on the changeable pattern of consumer, most of related companies provide various Omni channel and O2O service. However, reactions of the fashion companies are tend to be late. Recently, the IoT environment has changed to standards-based open platform and it requires a variety of intelligent services depending on the type of environment and objects. This thesis proposes fashion O2O system using smart fitting display that is adaptable to fashion companies. This proposed system provides fitting information which is performed on off-line by users after constructing the database, it also support the works as on-line status, thus, it makes users' procurements to maintain continuously. For the more, customer oriented intelligent fitting service would be expected by the information connection with the shop and delivery systems.

The Fine Structure of Human Fetal Nail Matrix (한국인 태아 조기질의 미세구조에 관한 연구)

  • Sohn, Hyung-Sun;Choi, Jae-Kwon;Chung, Yun-Young;Bae, Choon-Sang
    • Applied Microscopy
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    • v.26 no.1
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    • pp.79-93
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    • 1996
  • The differentiation of nail matrix and fine structure of matrix cells were studied with light and electron microscope using specimens from nails of thumb finger in Korean fetuses 14 to 24 weeks old. Fetal nail matrix consisted of two horizontal layers, thicker ventral and thinner dorsal matrices, originating from invagination of epidermis in proximal nail field. Matrix being generally thicker in its distal region than the apex became gradually thickened with increase of the fetal age. Each matrix consisted of single layer of basal cells and multiple layers of squamous cells which are arranged close to and parallel to the central axis of the nail mairix. The process of keratinization of fetal nail matrix was noted to be occured concurrently in the ventral and dorsal matrices along the central axis of matrix toward distal and dorsal direction. Squamous cells became matured with accumulation of tonofilaments, increase of keratohyalin granules, discharge of membrane coating granules, and narrowing of intercellular spaces, thickening of plasma membrane and finally being transformed into horny cells of nail plate. Horny cells of nail plate filled with fibrous elements in the electron dense amorphous substance. These findings of keratinization process of fetal nail matrix appeared to be similar to those of keratinization in epidermis and inner root sheath of the hair. In the nail matrix, however, corresponding region to the keratogenous zone of growing hair follicle was not observed. Vacuolated squamous cells of nail matrix seen on light microscopy was considered to be artefactual product, but squamous cells with condensed small nuclei rarely found adjacent nail plate was considered to be one of the squamous cells with unknown function. Proximal end of nail plate was observed on dorsal surface of nail field distal to the proximal nail fold at 14 and 16 weeks old human embryos. Proximal prolongation of the proximal end of nail plate was occured with advancing fetal age and afterward 21 weeks nail plate invaded into nail matrix. Melanin granule containing cells and Merkel cells were present only on the basal layer of dorsal nail matirx.

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Development of a software framework for sequential data assimilation and its applications in Japan

  • Noh, Seong-Jin;Tachikawa, Yasuto;Shiiba, Michiharu;Kim, Sun-Min;Yorozu, Kazuaki
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.39-39
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    • 2012
  • Data assimilation techniques have received growing attention due to their capability to improve prediction in various areas. Despite of their potentials, applicable software frameworks to probabilistic approaches and data assimilation are still limited because the most of hydrologic modelling software are based on a deterministic approach. In this study, we developed a hydrological modelling framework for sequential data assimilation, namely MPI-OHyMoS. MPI-OHyMoS allows user to develop his/her own element models and to easily build a total simulation system model for hydrological simulations. Unlike process-based modelling framework, this software framework benefits from its object-oriented feature to flexibly represent hydrological processes without any change of the main library. In this software framework, sequential data assimilation based on the particle filters is available for any hydrologic models considering various sources of uncertainty originated from input forcing, parameters and observations. The particle filters are a Bayesian learning process in which the propagation of all uncertainties is carried out by a suitable selection of randomly generated particles without any assumptions about the nature of the distributions. In MPI-OHyMoS, ensemble simulations are parallelized, which can take advantage of high performance computing (HPC) system. We applied this software framework for several catchments in Japan using a distributed hydrologic model. Uncertainty of model parameters and radar rainfall estimates is assessed simultaneously in sequential data assimilation.

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A Study on Health Insurance Coverage for Acupuncture Therapy in the Germany (독일에서의 침술 건강보험 급여화 사례 연구)

  • Kim, Dongsu;Park, Inhyo;Lim, Byungmook
    • Journal of Society of Preventive Korean Medicine
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    • v.23 no.3
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    • pp.109-119
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    • 2019
  • Background : Germany is the first country in the world to introduce modern systems of public health insurance, and the country which most widely uses complementary alternative medicine(CAM) in Europe. In early 21st century, a large evaluation studies were conducted to include acupuncture in health insurance payments, which were eventually decided. Objectives : This study is to investigate and analyze the process of public policy determination on insurance coverage for acupuncture in German health insurance system. Methods : We collected the data and information through the literature search and from the websites of German government departments and health insurance organizations. To obtain contextual information, German experts of health insurance and acupuncture clinical study were interviewed. Results : As use of acupuncture had been growing, German public health insurers wanted to evaluate the validity of acupuncture coverage and sponsored three evaluation projects for clinical effectiveness of acupuncture using randomized clinical trials, systematic reviews, and pragmatic trials from 2001 to 2005. For some pain condition, acupuncture was founded not to be effective than sham acupuncture, but more effective than standard care. The federal joint committee of health insurance decided to cover acupuncture for chronic pain of lumbar spine and chronic pain in at least one knee joint due to gonarthrosis. Conclusions : Considering the controversial subject matter in the process of acupuncture's health insurance coverage in Germany, expanding the benefits of Korean medicine in Korea needs to come up with ways to overcome the difficulties of placebo effect, standardization and lack of literature evidence.

Design and Implementation of a Request and Response Process on Help-Requesting Mobile Application (모바일 도움요청 어플리케이션에서의 요청 및 상호 대응 프로세스 설계)

  • An, Sung-Eun;Lim, Soon-Bum;Kim, Min-Jeong;You, Soo-Yeon
    • KIISE Transactions on Computing Practices
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    • v.21 no.4
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    • pp.320-326
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    • 2015
  • With the growing concern over frequent occurrences of criminal events, help-requesting mobile applications have drawn attention. However, existing applications solely focus on providing help-requesting services. Therefore, in this paper, we design and implement a help request and response process which allows users to request help by sending messages and locating their friends, acquaintances and even near-by application users, and to allow help be reached by forwarding messages. This application is composed of three parts: help-requesting, help-responding, and checking-status. This application is developed on the Android platform where we exchange users' longitude and latitude through web server communication. We conducted test to verify the effectiveness of the forwarding function, and it has been confirmed that 93.33% of subjects used the forwarding function to help users at risk.

The Process Grandchildren's Growth: - Based on the Life History Approach - (조손가족 손자녀의 성장과정에 관한 생애사 연구)

  • Yoon, Ju Young;Koh, Bo Sun
    • Korean Journal of Family Social Work
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    • no.56
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    • pp.69-104
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    • 2017
  • This research aims to understand in depth and contextually of the grandchildren 's growth with their grandparents. The data were collected through in-depth interviews with observation and documents and analyzed using life history approach. The life history method was based on Mandelbaum(1973)'s framework including 'life dimensions', 'turning points', and 'adaptations'. After the analysis, central themes in each domain emerge as follows; 'social prejudice', 'growing poverty', 'a painstaking smile', 'more polite and honest', and 'being alone' in life dimensions, 'parentless children', 'a painful memory, outcast', and 'going to college' in turning points, and 'a willing person, parents', 'a blessed person', 'self-reliance and scale of economic life', and 'diligence and inborn cheerfulness' in adaptations, respectively. Based on these results, several intervention strategies and implications for healthy growth of grandchildren.

A Study on Fault Classification of Machining Center using Acceleration Data Based on 1D CNN Algorithm (1D CNN 알고리즘 기반의 가속도 데이터를 이용한 머시닝 센터의 고장 분류 기법 연구)

  • Kim, Ji-Wook;Jang, Jin-Seok;Yang, Min-Seok;Kang, Ji-Heon;Kim, Kun-Woo;Cho, Young-Jae;Lee, Jae-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.9
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    • pp.29-35
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    • 2019
  • The structure of the machinery industry due to the 4th industrial revolution is changing from precision and durability to intelligent and smart machinery through sensing and interconnection(IoT). There is a growing need for research on prognostics and health management(PHM) that can prevent abnormalities in processing machines and accurately predict and diagnose conditions. PHM is a technology that monitors the condition of a mechanical system, diagnoses signs of failure, and predicts the remaining life of the object. In this study, the vibration generated during machining is measured and a classification algorithm for normal and fault signals is developed. Arbitrary fault signal is collected by changing the conditions of un stable supply cutting oil and fixing jig. The signal processing is performed to apply the measured signal to the learning model. The sampling rate is changed for high speed operation and performed machine learning using raw signal without FFT. The fault classification algorithm for 1D convolution neural network composed of 2 convolution layers is developed.

Identification of Requirements for Improving Healthcare Services with the Combined Use of SERVPERF and Customer Journey Map (SERVPERF와 고객여정지도를 활용한 의료서비스 개선 요건 파악)

  • Oh, Hyeon-Woo;Ham, Dong-Han
    • Journal of the Korea Safety Management & Science
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    • v.19 no.4
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    • pp.273-282
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    • 2017
  • This paper is aimed at proposing a new approach to connecting the measurements of customer satisfaction on healthcare services with the prioritized identification of healthcare service processes to be improved. As customers' requirements for healthcare services have become too diverse and healthcare service systems have been increasingly complex, there has been growing interest in the customer-oriented evaluation of healthcare service quality and the systematic improvement of healthcare service processes. Most of the previous studies on service quality evaluation are based on SERVQUAL model. However, because of the unique characteristics and constraints inherent in healthcare service systems, it has been reported that SERVQUAL would be inadequate to be applied to healthcare service systems. As an alternative, SERVPERF has recently been widely used in the evaluation of healthcare service quality. However, there is a lack of studies on how to use the measurements of healthcare service quality systematically to improve service functions and processes. With this issue in mind, we firstly measured the customer-perceived satisfaction on the healthcare service quality from the six dimensions based on SERVPERF. Then we identified the relationships between the subjective measurements and healthcare service processes through brainstorming and expert interview. By using the relationships, we developed a customer journey map in healthcare services that visually describe the interaction between customers and healthcare service systems. The developed customer journey map would help service designers easily identify a healthcare service process that needs to be improved with priority. It is expected that the design improvement process proposed in this study would be a useful method for enhancing the quality of healthcare services.

Analysis on Topics of Digital Preservation Researches and Courses (디지털 보존 관련 학술연구 및 교과 주제분석)

  • Jeong, Uiyeon;Choi, Sanghee
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.3
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    • pp.25-43
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    • 2019
  • Recently there has been a growing interest in digital preservation and digital curation with rapid increase of digital resource. This study aims to investigate the research topics and the course topics related digital preservation and digital curation. The course information is collected from the curricular of library and information science departments and archival science departments in leading countries such as US, England, Ireland, Canada and New Zealand. Title keyword profiling and network analysis were adapted to discover core research and education areas. The key topics in the abstracts of research papers and the contents of the course were also illustrated by these methods. In the research analysis, archival system is the biggest area of researches related digital preservation and digital curation. Courser analysis shows digital curation education and process is the important area of education. As a result of content analysis, plan and strategy is a notable topic of research and record management process is a major topic of courses for digital preservation and digital curation. In addition, format of digital resource is an important topic for research and courses.