• 한국IT서비스학회지
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• 제19권1호
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• pp.103-112
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• 2020

Job seekers are making various efforts to find a good company and companies attempt to recruit good people. Job search activities through self-introduction essay are nowadays one of the most active processes. Companies spend time and cost to reviewing all of the numerous self-introduction essays of job seekers. Job seekers are also worried about the possibility of acceptance of their self-introduction essays by companies. This research builds a classification model and conducted an experiments to classify self-introduction essays into pass or fail using deep learning and decision tree techniques. Real world data were classified using stratified sampling to alleviate the data imbalance problem between passed self-introduction essays and failed essays. Documents were embedded using Doc2Vec method developed from existing Word2Vec, and they were classified using logistic regression analysis. The decision tree model was chosen as a benchmark model, and K-fold cross-validation was conducted for the performance evaluation. As a result of several experiments, the area under curve (AUC) value of PV-DM results better than that of other models of Doc2Vec, i.e., PV-DBOW and Concatenate. Furthmore PV-DM classifies passed essays as well as failed essays, while PV_DBOW can not classify passed essays even though it classifies well failed essays. In addition, the classification performance of the logistic regression model embedded using the PV-DM model is better than the decision tree-based classification model. The implication of the experimental results is that company can reduce the cost of recruiting good d job seekers. In addition, our suggested model can help job candidates for pre-evaluating their self-introduction essays.

• 대한원격탐사학회지
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• 제33권4호
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• pp.401-410
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• 2017

Estimation of snow depth using optical image is conducted by using correlation with Snow Cover Fraction (SCF). Various algorithms have been proposed for the estimation of snow cover fraction based on Normalized Difference Snow Index (NDSI). In this study we tested linear, quadratic, and exponential equations for the generation of snow cover fraction maps using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua satellite in order to evaluate their applicability to the complex terrain of South Korea and to search for improvements to the estimation of snow depth on this landscape. The results were validated by comparison with in-situ snowfall data from weather stations, with Root Mean Square Error (RMSE) calculated as 3.43, 2.37, and 3.99 cm for the linear, quadratic, and exponential approaches, respectively. Although quadratic results showed the best RMSE, this was due to the limitations of the data used in the study; there are few number of in-situ data recorded on the station at the time of image acquisition and even the data is mostly recorded on low snowfall. So, we conclude that linear-based algorithms are better suited for use in South Korea. However, in the case of using the linear equation, the SCF with a negative value can be calculated, so it should be corrected. Since the coefficients of the equation are not optimized for this area, further regression analysis is needed. In addition, if more variables such as Normalized Difference Vegetation Index (NDVI), land cover, etc. are considered, it could be possible that estimation of national-scale snow depth with higher accuracy.

• 대한한의학회지
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• 제41권3호
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• pp.32-54
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• 2020

Objectives: The purpose of this scoping review is to describe the research trends of postpartum healthcare for postpartum women, as well as to identify further direction for research in the area of postpartum healthcare. Methods: This study was conducted sequentially according to the Scoping Review Method referred to as 'frameworks of Arskey and O'Malley'. We searched for articles published as of May 15th, 2020 in seven Korean databases in order to obtain the data. A key term search strategy was employed, including terms such as "Postpartum period care", "Postpartum health", "Postpartum care", and "Postpartum status" to identify relevant studies. Results: Eighty-three articles were selected from a total of 259. The research has been undertaken steadily since 1997, particularly in the fields of Nursing and Korean medicine. In terms of study design, survey studies were the majority (48.2%), followed by interventions and experimental papers (32.5%). However, qualitative research areas are lacking. The research topics were largely divided into two categories: postpartum care characteristics and postpartum care interventions. The characteristics of postpartum care were highly connected with care for mental health. Among the postpartum care interventions, the most common employed was Korean medicine intervention. Conclusion: This study confirms that management of mental health during the postpartum period is necessary. In addition, it is necessary to identify the experiences of postpartum women and the effectiveness of a postpartum care intervention program through the utilization of qualitative research methods. In particular, such research is needed in the field of Korean medicine.

• 한국콘텐츠학회논문지
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• 제17권8호
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• pp.454-462
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• 2017

본 연구는 노인 고독사 현상에 대한 이해를 목적으로 미디어 자료를 사용하여 고독사 사례를 살펴보고자 하였다. 질적 연구방법으로 사례분석 방법을 적용하였다. 고독사 사례는 2007년부터 2017년 초까지 보도된 미디어 자료를 사용하였다. 자료 수집은 인터넷 검색 엔진을 사용하여 수행하였으며, 총 47사례가 최종 분석에 사용되었다. 60대 21사례, 70대 17사례, 80대 이상 9사례를 분석에 사용하였다. 성별은 남성 22사례, 여성 17사례, 성별미상 사례 8사례로 나타났다. 분석 결과, 고독사 사례에서 나타난 주요 위험요인으로는 빈곤과 경제적 곤경, 만성질환, 정신건강 문제, 사회적 고립, 가족 및 이웃과의 관계 절연, 실업, 1인 가구, 독신 혹은 이혼, 그리고 대도시 거주 등으로 파악되었다. 연구 결과를 바탕으로 향후 예방 전략에 대한 논의를 제기하였다.

• 한국정보과학회논문지:데이타베이스
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• 제37권6호
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• pp.292-299
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• 2010

최근 플래시 메모리가 디지털 기기의 저장장치로 널리 사용됨에 따라 플래시 메모리에서 디지털 증거를 분석하기 위한 디지털 포렌식의 필요성이 증가하고 있다. 이를 위해 플래시 메모리에 저장되어 있는 파일을 효율적으로 복구하는 것이 매우 중요하다. 그러나 기존의 하드 디스크 기반 파일 복구 기법을 플래시 메모리에 그대로 적용하기에는 너무나 비효율적이다. 덮어쓰기 불가능과 같이 플래시 메모리는 하드 디스크와 전혀 다른 특성을 가지기 때문이다. 본 논문에서 디지털 포렌식을 지원하기 위한 플래시 메모리를 잘 이해하는 파일 복구 기법을 제안한다. 첫째, 플래시 메모리 저장장치로부터 복구 가능한 모든 파일들을 효과적으로 검색하는 방법을 제안한다. 이것은 플래시 메모리의 쓰기 연산을 담당하는 FTL(Flash Translation Layer)의 메타데이터를 최대한 활용한다. 둘째, 복구 대상 파일들 중에서 특정 파일을 효율적으로 복구할 수 있는 기법을 제안하며, 이를 위해 FTL의 사상 테이블의 위치 정보를 이용한다. 다양한 실험을 통해 본 논문에 제안하는 기법이 기존의 하드 디스크 기반 파일 복구 기법보다 우수함을 보인다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권6호
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• pp.2577-2581
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• 2012

Objective: To conduct a meta-analysis to investigate the value of EBV DNA in diagnosis of nasopharyngeal cancer (NPC) in Asian populations, and provide important evidence for screening. Methods: Prospective or respective case-control or cohort studies regarding the detection role of EBV DNA for NPC were included in our study. We conducted a comprehensive literature search in PubMed, EMBASE, and the Chinese Biomedical Database (CBM database between January 1980 and March 2012. Results: A total of 18 studies with 1492 NPC cases and 2641 health controls were included. Almost of the included studies were conducted in China, and only one other conducted in Thailand. The overall results demonstrated that the pooled sensitivity, specificity, positive likelihood (+LR) and negative likelihood (-LR) were 0.73 (0.71-0.75), 0.89 (0.88-0.90), 8.84 (5.65-13.84) and 0.19(0.11-0.32), respectively. The overall EBV DNA detection showed the largest area of 0.932 under the summary receiver operator curve (SROC). The accuracy of detection by plasma for NPC (0.86) was higher than in serum (0.81), with largest areas under the SROC of 0.97 and 0.91, respectively. Conclusion: Our results demonstrated the EBV DNA detection in plasma or serum has high sensitivity and specificity in diagnosis of NPC, especially in Chinese populations with a high risk of cancer.

• 한국도서관정보학회지
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• 제51권2호
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• pp.159-186
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• 2020

본 연구는 청소년의 지속적 독서태도를 강화하기 위한 독서교육 방안을 제시하기 위해 지속적 독서태도에 영향을 미치는 요인 검토를 목적으로 한다. 이를 위하여 우선 중학교 학생을 대상으로 한 심층면담을 통해 지속적 독서태도에 영향을 주는 요인들을 탐색하고, 이를 기반으로 개발된 설문지를 이용하여 서울 소재 중학생을 대상으로 설문조사를 실시하였다. 그 결과 학교의 환경요인, 학생 개인 특성 및 흥미, 그리고 독서교육에 대한 인식이 지속적 독서태도에 영향을 미치는 것으로 나타났다. 이러한 결과를 바탕으로 학교의 환경개선과 긍정적인 독서태도를 형성하기 위한 흥미 중심 독서교육의 필요성을 확인하였으며, 성별과 학년에 따른 독서교육방법의 차별화를 제안하였다. 본 연구는 지속적 독서태도 강화를 위한 학교도서관 독서교육의 방향을 제시하였다는 점에서 그 의의가 있다.

• 농촌계획
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• 제21권2호
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• pp.189-199
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• 2015

This study made use of 9 types of utilizing idle farmland deducted from existing research in order to examine cases by type of idle farmland, and selected representative cases by type after analyzing contents of 165 available newspaper articles. Selected Cases were assorted into agricultural use and nonagricultural use, and agricultural use are as followed. (1)Community Service/Farming type is the case of Gimhae city reported on 'Busan Ilbo', (2)High Income/Farming type is the case of cooperative unit of Geumjeong crude drug in Yeongam appeared in 'Newsis', and the case of Omija industry in Mungyeong reported on 'Hankyoreh', (3)Tourism/Landscape/Farming type is the case of rape flowers and buckwheat flowers in Gupo village reported on 'Asia News Agency', (4)Stock Raising/Farming type is the case of growing foraging crops published in 'The Daejeon Ilbo', (5)Weekend farm type is the case of utilizing idle farmlands and creating weekend farm reported on 'Mediawatch', (6)High income/Forest type is creating Mulberry cultivation areas in Hamyang-Gun published in 'Yonhap News', (7)Ecology/Landscape/Forest type is forestation project of idle land reported on 'Newsis', (8)Agricultural Experience Study type is the case of managing agricultural experience study center in Dosun elementary center published in 'Sisajeju' and the case of non-agricultural application case, (9)Ecological Environment type is the case of wetland restoration of idle farmland in Gochang. This study investigated and arranged detailed contents by the literature search and interview investigation according to investigating items such as utilizing area, main agent, purpose, utilizing item, utilizing content, etc. by case. With that, it deducted implications as well as case characteristics, and finally suggested political proposals through the case analysis.

• 한국한의학연구원논문집
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• 제12권2호통권17호
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• pp.93-101
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• 2006

Pulse feeling is one of the most important diagnosis method in Oriental medicine. But it is not easy to make an objective and standardized diagnosis. In this study, we found how to quantify diagnosis. Specially dally the high practicality in clinic, we search some parameters especially well-related to floating and sinking pulse by statistic analysis. By extension, we find the pulse patterns of the floating and sinking pulse. We choose 15 subjects diagnosed as floating pulse and 15 subjects diagnosed as sinking pulse by oriental doctors. And their pulse signals were acquired by Pulse analyzer which has piezoresistive pressure sensor. For the quantification of the floating and sinking pulse, at first, we examined the parameters which were highly correlated with oriental doctor's diagnosis. And then we derived pulse patterns of the floating-sinking pulse from preprocessed signal and its ensemble average. We also looked trend variation (PH-Curve) between contact and pulse pressure. As a result, statistically there is the biggest difference between contact pressure, the maximum pulse pressure, diastolic area (Ad) and floating and sinking data. Through the PH-Curve, which represented the relationship between contact and pulse pressure, we could divide the floating and sinking pulse clearly. As a basic research of pulse diagnosis algorithm, we can contribute to select essential parameters in diagnosis algorithm And using these diagnosis method, we expect to find typical pulse patterns and some useful parameters about other pulses like slow/rapid, large/fine pulse and so on. We hope that this study will contribute pulse objectification.

• 복식문화연구
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• 제23권6호
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• pp.1097-1115
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• 2015

ICT in the IOT era is the core basis of modern society. This study investigated and analyzed the recent commercialization trends of smart fashion products internationally and domestically, to utilize them as the basis of data for developing user-friendly smart fashion products that can meet the needs of consumers. Keyword research using the most representative search engines, Google and Naver was conducted for searching for various wearable items commercialized actively since 2010. The final 78 products were classified by the physical area, and the key features and benefits were analyzed. Smart fashion products were classified as four physical types for the head and face, torso, arms and hands, and ankles and feet. Smart fashion products for each body part were developed in various ways, such as hats, glasses, lenses, virtual screens, earphones, headsets, clothing, watches, wrist bands, gloves, rings, wallets, bags, anklets, shoes, socks, and insoles. The main features were music playback, bluetooth, a camera based on NFC, virtual effects, health and safety protection through measuring heartbeat and momentum, and social network sharing of all kinds of information, based on inter-working with a smartphone. These functions represent the physical, social, and emotional interactions among users and their surroundings, as well as the users, themselves. The research results are expected to be used in future studies on planning user-friendly and marketable products through in-depth analysis of the design characteristics of smart fashion products as well as consumer responses.