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Faunal study of Crambinae (Crambidae) from Tsushima Islands, Japan
Bosun Park,Mu-jie Qi,Sol-moon Na,Yang-Seop Bae 한국응용곤충학회 2014 한국응용곤충학회 학술대회논문집 Vol.2014 No.10
Tsushima Island (Daemado) belonging to Japan is an island located between South Korea and Japan, so this island is very important geographically. Tsushima is divided into two main islands on North (Kami Jima), South (Shimo Jima). The highest mountain of south Island is Yatateyama (649m) and Mitakeyama in north Island (487m). Almost area is mountainous and forested. We collected for three years from 2012 to 2014. First Collecting site is Miuda beach (28m. 34°40'34.39"N, 129°27'51.35"E), second is Ayumodoshi (65.7m. 34°09’ 06.70”N, 129°12’ 31.1” E), third is Mt. Eboshi (11.7m. 34°22’35.5” N, 129°18’ 33.6” E). The moths were collected by the light trap including one Mercury vapor lamp and two UV lamps with white screen. A total of 17 species, 12genera of Crambinae were identified. The materials examined are deposited in Incheon National University.
Temporal changes of Korean cicada in relation to meteorological factors
Jaeyeon Kang,Heejo Lee,Youngdon Ju,Bosun Park,Noori Choi,Pureum Noh,Eunok lee,Gilsang Jeong 한국응용곤충학회 2016 한국응용곤충학회 학술대회논문집 Vol.2016 No.04
In every summer, cicadas emerge and become numerically and ecologically dominant in Korean penninsula. Especially, cicada emergence is affected by the environmental factors. In order to evaluate the effect of environmental factors in cicada species, we analyzed the temporal changes in cicada exuviae based on meteorological and non-meteorological factors such as artificial light intensity and habitat characters on urban park area surrounded by residential houses. Combined multivariate analyses with a cluster analysis and a principal component analysis (PCA) were conducted. Samples were classified into 3 different cluster based on differences of meteorological factors such as temperature and humidity. Moreover, Random Forest model (RF) showed a high predictability of daily mean temperature on species peak abundance. These results provide a strong evidence that meteorological factors have significant effects on cicada emergences. Regarding the non-meteorological factors, we found no relationship in cicada emergence.
신보선 ( Bosun Shin ),한종수 ( Jongsoo Han ),박채린 ( Chairin Park ),현승임 ( Seung-im Hyun ) 한국회계학회 2022 회계학연구 Vol.47 No.2
내부감사부서는 감사(위원회)의 업무를 지원하고 기업 내에서 상시적으로 내부감사 실무를 수행하는 기업 지배구조의 한 축으로써 기업의 결산실적인 잠정이익의 품질을 향상시킬 수 있다. 따라서 내부감사부서가 존재하거나 내부감사부서의 품질이 우수하다면 잠정이익과 확정이익 간 차이가 감소할 것으로 예상한다. 2018년도부터 2019년까지 유가증권시장에 상장된 기업을 대상으로 분석한 결과 내부감사부서를 자발적으로 설치한 기업은 잠정이익과 확정이익 간 차이가 작았다. 내부감사부서가 감사업무만을 전담하는 조직이거나 내부감사부서원 및 부서장의 업무담당기간이 길수록 잠정이익과 확정이익 간 차이는 작았다. 이러한 결과는 잠정이익이 확정이익보다 과대공시된 표본에서 주로 나타났으며, 이는 내부감사부서가 이익을 과대공시하고자 하는 경영자의 기회주의적인 행태를 효과적으로 억제함으로써 잠정이익의 품질을 향상시킴을 보여준다. 본 연구는 2018년도부터 국내 사업보고서에 공시되기 시작한 감사(위원회)지원조직현황 자료를 사용한 최초의 연구이다. 자발적인 내부감사부서 설치의 긍정적 효과에 대한 본 연구결과는 비금융업 기업에게도 내부감사부서를 의무적으로 설치하도록 강제하는 규정을 신설하는 데 있어 규제당국이 고려할만한 근거자료로 활용될 수 있다. 또한 기업에게는 동일하게 내부감사부서를 설치한 기업이라 할지라도 내부감사부서의 위상 및 운영방식에 따라 잠정이익의 품질이 달라질 수 있음을 시사한다. 내부감사업무만을 전담하는 부서로 개편하거나 내부감사부서 구성원의 전문성 향상을 위해 내부감사부서에 대해서는 순환보직의 제한을 두는 등의 사항이 고려될 수 있다. As one of the fundamental elements of corporate governance, an internal audit function (IAF) can improve the quality of the preliminary earnings by performing a monitoring role that supports the work of the audit (committee) and internal audit practices on a year-round basis. Thus, we posit that if a firm voluntarily establishes an IAF or employs a high-quality IAF, the firm’s preliminary earnings would have high quality and thus be less revised. Then, the difference between preliminary earnings and reported earnings would be reduced. The results are as follows. The difference becomes smaller when a firm has an IAF, when an IAF is exclusively dedicated to internal audit work, and as the head and members of an IAF have more work experience. These results, however, are observed only in the subsample where earnings are overstated. The result suggests that an IAF effectively control the opportunistic behavior of managers who are likely to overestimate earnings, thereby improving the quality of preliminary earnings. This study is the first study that uses disclosure data on IAFs, being reported from 2018. The results of this study suggest that both the existence of IAFs and how IAFs are operated are important determinants of preliminary earnings’ quality. The results also provide important implication that regulators should enforce non-financial firms to install IAFs.
Hwang, Bosun,Han, Jonghee,Choi, Jong Min,Park, Kwang Suk Mary Ann Liebert 2008 TELEMEDICINE JOURNAL AND E HEALTH Vol.14 No.9
<P>The purpose of this study was to develop an unobtrusive energy expenditure (EE) measurement system using an infrared (IR) sensor-based activity monitoring system to measure indoor activities and to estimate individual quantitative EE. IR-sensor activation counts were measured with a Bluetooth-based monitoring system and the standard EE was calculated using an established regression equation. Ten male subjects participated in the experiment and three different EE measurement systems (gas analyzer, accelerometer, IR sensor) were used simultaneously in order to determine the regression equation and evaluate the performance. As a standard measurement, oxygen consumption was simultaneously measured by a portable metabolic system (Metamax 3X, Cortex, Germany). A single room experiment was performed to develop a regression model of the standard EE measurement from the proposed IR sensor-based measurement system. In addition, correlation and regression analyses were done to compare the performance of the IR system with that of the Actigraph system. We determined that our proposed IR-based EE measurement system shows a similar correlation to the Actigraph system with the standard measurement system.</P>
[디젤엔진부문] 초희박 가솔린 예혼합기 유입에 의한 직접분사식 디젤기관의 연소 및 스모크 특성
유보선(Bosun Yoo),박정서(Jungseo Park),김문헌(Munheon Kim) 한국자동차공학회 2000 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper, to find out the optimum operate condition which is in the smoke limit of conventional diesel engine, pre-mixed gasoline fuel was provided with compression ratio 19 : 1, ignited by direct injected diesel fuel. It was further injected in several steps, 0.373g/s, 0.308g/s, 0.182g/s. 0.141 g/s, 0.096g/s. to discover the combustion and smoke characteristics, and pre-mixed gasoline fuel was supplied until self-ignition occurred in lean region simultaneously. When pre-mixed gasoline air-fuel ratio was leaner than 120, there was no difference with case that only diesel fuel supplied and in case the richer region air-fuel ratio 38, the knocking was occurred. The brake power at the rate of diesel fuel injection 0.096g/s was about 1.5kw, but as the provided pre-mixed gasoline air-fuel ratio 48.43, the brake power increased to 4kw and smoke concentration was kept about 20~30%.
Flight patterns of Apis mellifera and Bombus terrestris near their hives for image deep learning
Kyeong Yong Lee,Jongho Park,Young Bo Lee,Heeji Kim,Su-bae Kim,Bosun Park,Sujin Lee,Kyu-Won Kwak,Seong Hyun Min,Dong Hee Lee 한국응용곤충학회 2024 한국응용곤충학회 학술대회논문집 Vol.2024 No.04
Bee traffic at the hive entrance can be used as an important indicator of foraging activity. We investigated patterns of honeybees and bumblebees near their hives as a basis for calculating bee traffic using the image deep learning. The flight pattern near the hive differed significantly according to bee at entering and leaving the hive. Honeybees mainly showed flight that changed flight direction more than once (69.5%), whereas bumblebees mainly performed straight flight (48.7%) or had a single turn (36.5%) in flight. When bees entered the hive, honeybees primarily showed one-turn or two-turn flight patterns(88.5%), and bumblebees showed a one-turn flight pattern (48.0%). In contrast, when leaving the hive, honeybees primarily showed a straight flight pattern (63.0%), and bumblebees primarily showed a straight or one-turn pattern (90.5%). There was a significant difference in flight speed according to the flight pattern. The speed of straight flight (0.89±0.47 m/s) was 1.5 to 2.1 times faster than flight where direction changed. Therefore, our results can help determine the capturing and recognizing the flying image of bees when calculating bee traffic by image deep learning.