• 발명특허
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• v.18 no.5 s.207
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• pp.24-25
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• 1993

본회가 주최한 제 111회 발명 교실이 지난 5월 8일 발명장려관 연구실에서 개최됐다. 매월 둘째 토요일 오후 1시 30분에 개최되는 발명교실이 이번 달에는 발명진흥심포지움과 함께 진행되었다. 이날 발명교실에서는 서울산업대학 윤종학 교수의 주제발표에 이어 두레단기업대표인 박영근 사장의 성공사례 발표와 본회 김관형 상근이사의 발명의 발상기법에 대한 강의와 토론이 있었다. 발명가의 성공사례를 간추려 소개한다.

• The Inventors News
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• no.51
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• pp.1-16
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• 2006

함께 즐기는 '여성 발명인 축제'열린다/이 가을을 여성 발명의 계절로/빠진 영구치, 임플란트 기술로 대신한다/국내 의약품 특허출원 외국 기업이 주도/웰빙 붐 타고 기능성 베개 출원 늘어나/토양오염 복원기술, 관심 높아져/기업 CI교체 따른 상표출원 급증/여성경제단체, 오세훈 서울 시장 초청 간담회 가져/'2006대한민국 발명특허대전' 개최/특허청, 중소기업 특허경영 지원단 발족/한국특허문헌, WIPO로 전세계 서비스 실시/APEC 여성지도자네트워크 회의 개최/'2006 특허기술 사업화 성공사례발표회'/세계최초 신개념 CTF기술 상용화/특허청, 제4회 발명 장학생 선발/김치, 러시아 모스크바에 진출한다/고속 주행 틸팅열차 특허로 인정/현직 공무원, 다양한 발명품으로 특허와 되다/자신만의 'TV채널' 선택 가능하다/전지산업, 이온성 액체 관련 특허로 안전하게/명확한 의견 제출로 효율적인 심판 진행/치매예방물질 2배인 김치 개발됐다/한국과학기술연구원 논문 특허심의제도 도입/'한국 오시면 KISS로 맞이합니다'/삼성전자, 중국 특허 마쓰시타 아성 깨다/싱가포르 수출 인큐베이터로 중소기업 해외시장 공략/특허청, 영남대와 지식재산역량 강화 위한 약정 체결/깎는 횟수 줄인 잔디, 세계최초 개발/순창군, 웰빙 고추장 특허출원/역사 속의 발명품/하루 10분 발명교실/특허Q&A/케이제이알텍(주)문승자 대표/한.일 변리사회 업무협정체결 25주년 기념식 개최/중소기업청, 하반기 18조원 신용보증 공급 계획/'2006 대만 국제발명품 전시회'서 한국 참가자 수상/'불났을 때' 긴급 대피 요령은?/아이디어 착상 및 발명 기법/창의성과 도전정신이 성공한 사업가 만든다/사탕을 탄생시킨 사람들/'휴대폰 특허료 1.3억불 내라' 중재 결정/'신발깔창 휴대폰 충전기'/휴대폰으로 광고 받고 무료 문자 이용 가능/아파트 저작권.특허 열풍 거세게 불어/'골다공증 예방 요구르트' 나왔다/갈증 느끼지 않아도 '물' 자주 마셔라/10월 '지재권 및 여성발명 창의교실' 개최안내/한국여성발명협회 회원사 발명품 가이드/함씨네토종콩종합식품, 특선 수상/

• Journal of Labour Economics
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• v.28 no.1
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• pp.1-28
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• 2005

First, The flow into and out of unemployment has been increasing considerably too since the late 1997. Moreover, about half of job changes involve career changes associated with industrial and occupational changes which workers work for. Workers who switch industries and occupations significantly suffer greater wage losses than observed similar workers who find new jobs in their pre-turnover industry or occupation. These findings imply that labor mobility is more likely to cause losses in accumulated skill of workers. Second, this study compared the wage return to past training when a worker remains with an employer with the wage return to past training when a worker moves to a new employer. Surprisingly, training provided by previous employers has significantly positive wage effect. These findings that the skill acquired by employer- provided training is transferable across some firms. Third, this study finds that the likelihood of sectoral mobility decreases with training received in the current industry. It gives an evidence of the industry- specific training. Based on these findings, this paper suggest the way of dividing the costs of benefits of training among employers within their sector to prevent under-investment in training.

• Journal of the Economic Geographical Society of Korea
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• v.1 no.1
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• pp.81-112
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• 1998

This study reviews the industrialization process of the United States-Mexico Borderlands and the economic relations between the U.S. and Mexico and examines their impact on the borderlands. Main factor in the industrialization of the borderlands was the U.S. investment on the maquiladora program of Mexico since 1965. It contributed to the increase in employment and population of borderlands and the development of service industries. Low wage level of Mexico induced not only standardized labor-intensive industries but also the high-tech automated industries because they still use a lot of labor in manufacturing and assembly process, while the functions of management. R & D, and distribution remained in the U.S. This is a typical case of international division of labor and satellite industrial district. The rules of origin in NAFTA, however forced branch Plants of multinational companies to form the local linkages between firms.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.69-77
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• 2018

This study is to find the convergence effect of a husband's help on self-efficacy and postpartum depression in mother. Each husband did mother and baby care until postpartum 6th week after completing three sessions of education. The data was collected in the 1st and 6th week postpartum, and analyzed using SPSS 20.0. Husbands's practice rate was 80%. Factors affecting to mothers' self-efficacy were parity, antepartum admission and husband's job, and to their postpartum depression were mothers' education, monthly income and antepartum depression. Prevalence of postpartum depression in the 1st and 6th week were 33.3% and 1.7% each. There were significant differences in increasing self-efficacy and in decreasing postpartum depression(p<.001), and there was a negative correlation between two variables(r=-.62, p=.01). Husbands' help brought convergence effects on increasing mothers' self-efficacy and decreasing postpartum depression(p<.001). This results could be used in developing intervention programs in managing mothers' self-efficacy and postpartum depression after repeated studies with wider range of subjects.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.177-184
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• 2020

The objective of this study was to investigate the effect of cold-pressed flaxseed oil through the roasting temperature (unroasted and roasted at 150℃ and 200℃) and time (10 and 20 min) on the chemical changes. Cold-pressed flaxseed oil extraction yield was calculated with respect to the roasted process and total phenolic content, fatty acid composition, and volatile compound were analyzed. The extraction yield was increased in the roasted oil compared to the unroasted oil. Total phenolic content was significantly higher in oil from the roasted at 150℃ for 20 min compared to other roasting condition. Fatty acid composition was not affected by the extraction process. The content of aldehyde, ketone, furan, and pyrazine was higher than in the roasted at 200℃ compared to the unroasted and roasted at 150℃. These findings suggest that cold-pressed flaxseed oil extracted from the roasted at 150℃ for 20 min may be considered acceptable for safe extraction process.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.45-52
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• 2021

In this paper, we proposed an Atrous Residual U-Net (AR-UNet) to improve the segmentation accuracy of semantic segmentation method based on U-Net. The U-Net is mainly used in fields such as medical image analysis, autonomous vehicles, and remote sensing images. The conventional U-Net lacks extracted features due to the small number of convolution layers in the encoder part. The extracted features are essential for classifying object categories, and if they are insufficient, it causes a problem of lowering the segmentation accuracy. Therefore, to improve this problem, we proposed the AR-UNet using residual learning and ASPP in the encoder. Residual learning improves feature extraction ability and is effective in preventing feature loss and vanishing gradient problems caused by continuous convolutions. In addition, ASPP enables additional feature extraction without reducing the resolution of the feature map. Experiments verified the effectiveness of the AR-UNet with Cityscapes dataset. The experimental results showed that the AR-UNet showed improved segmentation results compared to the conventional U-Net. In this way, AR-UNet can contribute to the advancement of many applications where accuracy is important.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.128-133
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• 2019

The purpose of this study is to verify whether the data measured by the researcher and the smart shoe sensor data are the same or similar by performing the 6 - minute walking test and time up and go test after putting smart shoes on a normal person. Ten normal adult males participated. After wearing smart shoes, they performed a 6-minute walk test and a time up and go test. The results of this experiment show that the accuracy of the current sensor is high. The difference in the distance of the 6-minute walking test is that the difference is because the turning point, which is not calculated in the actual 30-m track, measures the distance. From this point of view, it can be seen that smart shoes measure more accurate distance and it is expected that various tests will be possible through smart sensors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.107-116
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• 2022

Recently, research has been actively conducted on the technology of inspection facilities through image-based analysis assessment of human-inaccessible facilities. This research was conducted to study the conditions of deep learning-based imaging data on bridges and to develop an evaluation prototype program for bridges. To develop a deep learning-based bridge damage detection prototype, the Semantic Segmentation model, which enables damage detection and quantification among deep learning models, applied Mask-RCNN and constructed learning data 5,140 (including open-data) and labeling suitable for damage types. As a result of performance modeling verification, precision and reproduction rate analysis of concrete cracks, stripping/slapping, rebar exposure and paint stripping showed that the precision was 95.2 %, and the recall was 93.8 %. A 2^nd performance verification was performed on onsite data of crack concrete using damage rate of bridge members.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.21-27
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• 2016

In this paper, we introduce the PB/MC-CDMA (Partial Block/Multi-Carrier-Code Division Multiple Access) system to mitigate inter-cell interference (ICI) and enhance user capacity in the small cell environment. In 5G mobile communications, the number of devices connected to the network is expected to increase exponentially with the expansion of the IoT (Internet of Things) services. In addition, each device is expected to be required by the various data rates by their content types. In LTE/LTE-A, there are some limitations that large scale connectivity and supporting various data rates. Therefore, we introduce a PB/MC-CDMA physical layer system which is suitable for the small cell environment, and evaluate the performance in the multi cell environment which is affected by ICI. Through computer simulation results, we demonstrate the effectiveness of PB/MC-CDMA for the small cell environment.