This study aims to analyze the sensory characteristic of cooked rice made with 10 types of rice varieties produced in South Korea using descriptive analysis. Twelve subjects who cook rice regularly, at least once a week, were recruited for the study and participated as descriptive panelists. A total of 29 descriptive terms were developed to describe the sensory characteristics of cooked rice. The findings showed that there were significant differences in the sensory attributes, specifically the appearance and texture attributes among the rice varieties. Among the varieties, Haedeul, Ilpum, and Koshihikari were observed to have a large quantity of rice germ and a relatively yellowish appearance. In contrast, Samkwang, Chamdream, and Yeonghojinmi were relatively whiter than the other samples. Odae, Saecheongmoo, and Sindongjin were rated high in the attributes of roughness, hardness, and chewiness, and Jinsang was rated high in moisture, bitterness, stickiness, and wholeness of rice grains. The differences in the appearance and texture of these rice varieties are likely to significantly impact consumer preferences. Furthermore, the development of customized menus based on the sensory characteristics of the different varieties of rice could encourage consumers to purchase these varieties.

PURPOSES : Traffic volume, an important basic data in the field of road traffic, is collected from traffic survey equipment installed at certain locations, which sometimes results in missing traffic volume data and abnormal detection. Therefore, this study presents various missing correction techniques using traffic characteristic analysis to obtain accurate traffic volume statistics. METHODS : The fundamental premise behind the development of a traffic volume correction and prediction model is to set the corrected data as the reference value, and the traffic volume correction and prediction process for the outliers and missing values in the raw data were performed based on the set values. RESULTS : The simulation results confirmed that the algorithm combining seasonal composition, quantile AD, and aggregation techniques showed a detection performance of more than 91% compared with actual values. CONCLUSIONS : Raw data collected due to difficulties faced by traffic survey equipment will result in missing traffic volume data and abnormal detection. If these abnormal data are used without appropriate corrections, it is difficult to accurately predict traffic demand. Therefore, it is necessary to improve the accuracy of demand prediction through characteristic analysis and the correction of missing data or outliers in the traffic data.

Microphysogobio rapidus is designated as endangered species class I by Ministry of Environment, and its distribution and population have been gradually declining, and it is now limited to the Nam River and some tributary streams of the Nakdong River Watershed. For the restoration of this highly endangered species, it is important to identify the causes of the decline and establish appropriate restoration plans. However, due to lack of basic data and ecological research, most steps are stagnant. Therefore, in this study, we identified the differences in the physical, biological, and sociological habitats between current and past distributed sites through field surveys and literature reviews. As a result of the field survey, there were differences in conductivity between the current and past distributed sites, and fish communities were also showed differences. The literature data also showed that the physico-chemical values of the past distributed sites were generally unfavorable, which generated negative consequences on biological factors. In particular, the effects of urbanization were found to be a major factor affecting the habitat of M. rapidus. Habitat stabilization is crucial for the recovery of this endangered species. However, in the past distributed sites, disturbances such as stream development and weir construction have altered streams physico-chemically and result in changes of M. rapidus. Therefore, a comprehensive plan that considers both stream connectivity and water quality is needed to manage and restore the habitat of M. rapidus.

Cucurbita is one of the crops with high demand in the world. Securing breeding sources is crucial and fundamental to any plant breeding program. This study was conducted to investigate the characterization of phenotypic traits and phylogenetic classification of germplasm provided by the National Agrobiodiversity Center of RDA. Fourteen phenotypic traits were measured in 199 accessions of Cucurbita germplasm. Among these germplasm, 92 accessions of C. moschata, 34 accessions of C. maxima, and 73 accessions of C. pepo were classified using the KASP marker from the Seed Industry Center. It was confirmed that there were five classifications in C. moschata, five in C. maxima and four in the C. pepo. The results of this study provide fundamental data on Cucurbita germplasm and are expected to be useful in breeding programs.

The study used the whole-life carbon assessment method to conduct a thorough carbon-neutral evaluation of a standard steel structure. To further assess carbon emissions, 11 design-changed models were evaluated, with changes made to the span between beams and columns. The results of the carbon emission assessment showed savings of approximately 13.1% by implementing the stage of the beyond life cycle. Additionally, the evaluation of carbon emissions through design changes revealed a difference of up to 42.2%. These findings confirmed that recycling and structural design changes can significantly reduce carbon emissions by up to 48.6%, making it an effective means of achieving carbon neutrality. It is therefore necessary to apply the stage of beyond life cycle and structural change to reduce carbon emissions.

가상현실과 현실 세계를 융합한 공간으로서 가상의 세계 안에서 다양 한 상호작용과 경험을 제공하는 메타버스 서비스는 사용자들이 자아일치 성을 공유하고 강화하는 공간을 형성해줄 수 있다. 본 연구에서는 메타 버스 서비스 특성이 사용자의 재이용의도에 미치는 영향과, 이 관계를 매개하는 자아일치성의 효과를 검증하였다. 메타버스 서비스를 이용해 본 경험이 있는 성인 남녀를 대상으로 수집한 245개 설문자료를 분석한 결과에 따르면 메타버스 서비스 특성 중 실재감과 매개변수인 자아일치 성은 고객의 메타버스 재이용의도에 긍정적인 영향을 미치는 것으로 나 타났다. 또한 매개효과분석 결과에 따르면 자아일치성은 메타버스 서비 스 특성 중 실재감과 재이용의도 간의 관계를 부분매개하고, 유용성과 재이용의도 간의 관계, 상호작용성과 재이용의도 간의 관계를 완전매개 하는 것으로 나타났다. 연구 결과는 변화된 환경과 소비자 특성으로 인 해 전통적 브랜드 마케팅 방식의 한계에 직면하고 있는 기업들에게 메타 버스를 활용한 마케팅 전략 도출에 도움이 되는 유용한 정보를 제공하고 있다.

본 연구는 기업의 기술혁신이 고용과 기업성과에 미치는 영향을 변수 간 양방향 인과관계를 고려하여 분석하였다. 기술혁신의 대리변수는 기업의 특허출원 수이며, 분석대상은 100인 이상 규모의 국내 제조업체이다. 실증분석의 경우 기술혁신(특허출원), 고용(근로자 수, 숙련 근로자 비중), 기업성과(근로자 1인당 매출액)가 종속변수인 연립방정식 모형을 3단계 최소자승추정법(3SLS)으로 추정하였다. 외생변수로 기업의 경영상 특성과 일반적 특성을 통제하였고, 각 방정식의 식별변수로 R&D집약도, 근로자 1인당 노동비용(또는 기업부설연구소 보유 여부), 교육훈련투자를 사용하였다. 분석자료는 인적자본기업패널(HCCP)의 1차년도(2005년) ∼7차년도(2017년) 자료이며, 이를 NICE신용평가정보(주)의 기업 재무자료 및 한국 특허청의 특허정보와 병합하여 사용하였다. 분석결과에 의하면, 기업의 특허출원이 활발할수록 근로자 수, 숙련 근로자 비중, 근로자 1인당 매출액이 모두 증가하였고, 반대 방향의 인과관계도 모두 유의 하였다. 따라서 기업의 기술혁신은 고용의 확대 및 질적 제고뿐 아니라 기업의 지속적인 성장에도 기여하는 것으로 확인된다.