This study was conducted to explore the change in the market issues on HMR (Home Meal Replacements) using local foods after the COVID-19 outbreak. Online text data were collected from internet news, social media posts, and web documents before (from January 2016 to December 2019) and after (from January 2020 to November 2022) the COVID- 19 outbreak. TF-IDF analysis showed that ‘Trend’, ‘Market’, ‘Consumption’, and ‘Food service industry’ were the major keywords before the COVID-19 outbreak, whereas ‘Wanju-gun’, ‘Distribution’, ‘Development’, and ‘Meal-kit’ were main keywords after the COVID-19 outbreak. The results of topic modeling analysis and categorization showed that after the COVID-19 outbreak, the ‘Market’ category included ‘Non-face-to-face market’ instead of ‘Event,’ and ‘Delivery’ instead of ‘Distribution’. In the ‘Product’ category, ‘Marketing’ was included instead of ‘Trend’. Additionally, in the ‘Support’ category, ‘Start-up’ and ‘School food service’ appeared as new topics after the COVID-19 outbreak. In conclusion, this study showed that meaningful change had occurred in market issues on HMR using local foods after the COVID-19 outbreak. Therefore, governments should take advantage of such market opportunity by implementing policy and programs to promote the development and marketing of HMR using local foods.

Understanding the light environment in greenhouse cultivation and the light utilization characteristics of crops is important in the study of photosynthesis and transpiration. Also, as the plant grows, the form of light utilization changes. Therefore, this study aims to develop a light extinction coefficient model reflecting the plant growth. To measure the extinction coefficient, five pyranometers were installed vertically according to the height of the plant, and the light intensity by height was collected every second during the entire growing season. According to each growth stage in the early, middle, and late stages, the difference between the top and bottom light intensity tended to increase to 69%, 72%, and 81%. When leaf area index and plant height increased, the extinction coefficient decreased, and it showed an exponential decay relationship. Three-dimensional model reflecting the two growth indexes, the paraboloid had the lowest RMSE of 1.340 and the highest regression constant of 0.968. Through this study, it was possible to predict the more precise light extinction coefficient during the growing period of plants. Furthermore, it is judged that this can be utilized for predicting and analyzing photosynthesis and transpiration according to the plant height.

Livestock production costs are heavily influenced by the cost of feed, The use of domestically grown forages is more desirable for livestock feed production. As part of this study, triticale, which is an extremely palatable and easily cultivable crop in Korea, was used to produce low moisture silage bales with lactic acid bacteria (LAB) and then stored for different periods. We examined the nutrient content of silage, such as crude protein (CP), acid detergent fiber (ADF) and neutral detergent fiber (NDF), as well as their organic acids, including lactic acid, acetic acid, butyric acid, at different storage periods. The nutrient content of silages, such as crude protein, ADF, and NDF, did not change significantly throughout storage periods. Organic acid data indicated that lactic acid concentrations increased with increasing moisture contents and storage periods up to nine months. However, further extending storage to 12 months resulted in a reduction in the lactic acid content of all silages as well as an increase in their pH. Based on the present results, it suggested that the production of low moisture silage with the LAB may be able to preserve and maintain its quality without altering its nutritional composition. Also, the lactate content of the silage remained significant for at least nine months.

In this paper, the mechanical properties according to the rCF weight percent(10, 20, 30, 40, 50wt%) of the rCFRP specimen were evaluated and analyzed. First, to prepare rCFRP specimens, pellets were prepared according to the type of weight percent, and rCFRP tensile specimens according to ASTM D638 were prepared using an injection molding machine. Tensile tests were performed on each of 10 specimens according to weight percent conditions, and tensile strength and modulus of elasticity were calculated. For a detailed analysis of the correlation between the internal structure of the specimen and the mechanical properties, the weight percent to the constituent materials of the rCFRP specimen was calculated using mCT and used for the analysis of mechanical properties. For a more detailed analysis, a detailed analysis of the mechanical properties of rCFRP was performed through the fracture surface analysis of the specimen using FE-SEM.

Most domestic pilots are trained at local airfields using propeller aircraft. Training aircraft are mainly trained in the airspace around the aerodrome, and mainly take-off and landing exercises that require a lot of practice among flight control skills. Aircraft noise is a sound that humans do not want. In this study, based on the Rotax 914 engine used in Korea, the propeller blade angle was changed by 1 degree for the 3-leaf “K company” propeller and the 3-leaf GSC wooden propeller, and the engine RPM was changed to examine the noise and thrust changes. The purpose of this study is to check whether noise and thrust loss are the least at the engine's maximum RPM, and to propose an aircraft operation plan in the noisy aerodrome area based on the values.

Yttria-stabilized zirconia (YSZ) has a low thermal conductivity, high thermal expansion coefficient, and excellent mechanical properties; thus, it is used as a thermal barrier coating material for gas turbines. However, during long-time exposure of YSZ to temperatures of 1200oC or higher, a phase transformation accompanied by a volume change occurs, causing the YSZ coating layer to peel off. To solve this problem, YSZ has been doped with trivalent and tetravalent oxides to obtain coating materials with low thermal conductivity and suppressed phase transformation of zirconia. In this study, YSZ is doped with trivalent oxides, Nd2O3, Yb2O3, Al2O3, and tetravalent oxide, TiO2, and the thermal conductivity of the obtained materials is analyzed according to the composition; furthermore, the relative density change, microstructure change, and m-phase formation behavior are analyzed during long-time heat treatment at high temperatures.

본 연구는 Bacillus subtilis를 활용한 바이오플락 양식 기술(Biofloc technology, BFT)을 이용하여 대농갱이(Leiocassis ussuriensis) 양식의 가능성을 확인하기 위해 90일 동안 생존, 성장지수와 사육수 수질의 변화를 관찰하였다. 대농갱이를 입식하기 전 BFT 수 제조를 위해 실험수조에 사료와 당밀을 첨가한 후 B. subtilis를 접종하여 40일간 수질을 안정화시켰다. 실험결과, 대농 갱이의 생존율은 대조구 92.7±3.2%와 BFT 실험구 95.8±3.3%로 조사되었다. 증체율은 대조구 118.1±9.0%와 BFT 실험구 197.7±15.6%을 보였고, 일간 성장율은 대조구 0.87±0.5%, BFT 실험 구 1.21±0.06%로 나타났다. 사료효율은 대조구가 43.7±2.6%이었고, BFT 실험구는 70.1±4.1%로 측정되어 BFT 실험구의 사료효율이 더 높은 것으로 조사되었다. 실험기간 동안의 수질 변화를 측정한 결과, pH는 대조구와 BFT 실험구 모두 감소되었고, MLSS는 대조구에서 변화를 보이지 않았지만, BFT 실험구에서는 90일째부터 유의한 증가를 보였다. NH4 +-N와 NO2 --N는 대조구 에서 실험 30일째부터 유의한 증가를 보였으나, BFT 실험구에서는 변화를 보이지 않았다. 결론 적으로 B. subtilis를 활용한 BFT 시스템을 대농갱이 양성 과정에 적용한 결과, 수질은 안정화 되는 경향을 보였고, 성장도와 사료효율은 대조구에 비해 높은 것으로 조사되어 긍정적인 효 과가 있는 것으로 확인되었다.

본 연구는 라텍스 매트리스가 수면의 질과 편안함에 미치는 영향을 평가하기 위하여 수행되었다. 대상자들은 임상 의의 진찰을 통해 중증의 불면증을 비롯한 수면에 영향을 줄 수 있는 질병이 없는 건강한 성인 11명(남 5명, 여 6명, 나이 37.7세, 키 167.8cm, 체중 67.0kg)으로 구성되었다. 대상자들은 개인 생활공간에서 7일 동안 사용하던 스프링 매트리스에서 수면을 취하였고, 이를 웨어러블 디바이스(Fitbit)와 수면일지, PSQI, ISI, 만족도 설문을 사용하여 기록 하였다. 이어서 대상자들의 매트리스를 라텍스 매트리스로 교체하여 14일 동안 사용하게 하였고, 이를 기록하였다. 그 결과 Fitbit 상에서 라텍스 매트리스를 사용 후 주중 수면 시간이 62.9분, 주말 수면 시간은 53.2분 증가하는 것으로 나타났으며, ISI 설문에서는 3.8점이 유의하게 감소하였다. PSQI 설문에서는 poor sleeper가 10명에서 7명으로 줄었으 나 통계적으로 유의하지는 않았고, 만족도 설문에서는 허리, 목, 어깨의 편안함이 유의하게 증가하였다. 이러한 결과로 미루어 볼 때, 라텍스 매트리스는 객관적 및 주관적 수면의 질에 긍정적인 영향을 미칠 수 있을 것으로 보여진다.

Safety has once again emerged as a social issue due to the enforcement of the Serious Disasters Punishment Act and the occurrence of major disasters recently. As such, the safety culture related to unsafe human behavior is drawing attention as various discussions about the importance of safety and accident prevention are currently being undertaken. This study aims to determine whether changes in the level of safety culture in companies affect the accident rate. To this end, we targeted three workplaces in the same company in the domestic manufacturing industry, and 2,790 people were surveyed using DNV's Safety Will(ISRS-C version 4.0) for safety culture level diagnosis. The change in safety culture level and accident rate were compared and analyzed after carrying out safety culture level improvement activities for 5 years. As a result, the level of safety culture increased by 5.8 points, an overall improvement of 9.5%, while the total number of accidents decreased by 20%, from 5 to 4, indicating a general decreasing trend in accident occurrence. Results confirmed that the change in the level of safety culture affects the accident rate, and the improvement in the level of safety culture affects a reduction in accidents. Therefore, this study suggests that efforts to improve the level of safety culture within a company can be associated with accident reduction and accident prevention outcomes.

본 연구의 목적은 딥러닝의 전이학습 모델을 이용하여 항공사진과 토지이용현황도 간의 비교를 통해 토지이용현황의 변화를 탐지하는 방안을 마련하는 데 있다. 이러한 목적을 위해 딥러닝의 이미지 예측모델과 라스터와 벡터 자료를 비교하는 공간분석 기능을 이용하였다. 학습모델 구축을 통해 토지이용현황도의 상업지, 농지, 임지 및 수계에 대한 예측결과를 이용하여 토지이용의 변화를 탐지하는 방안을 제시하였다. 이러한 분석 방안은 라스터 형태의 최신 정보와 벡터 형태의 기존 자료와의 비교를 통해서 자료의 변화를 확인하는 방안으로 활용이 가능하다.

본 논문에서는 반도체 패권의 변화에 관한 역사적 경로의 분석을 통해 동 산업생태계 변화를 예측하고자 한다. 특히 본고는 일본의 반도체 산 업 역사를 고찰하고, 현재의 일본 반도체 정책 및 전략을 분석하였다. 본 고에서는 반도체 패권의 변화에 대해 통상관계와 기술 생태계 변화 두 측면에서 역사적 흐름을 고찰하고, 일본 반도체 산업의 변화 및 역사적 경험을 미일 반도체 협정 이전과 1990년대 이후로 구분하여 분석하였다. 또한 일본 반도체 산업정책 및 전략을 내부 산업지원 정책과 클러스터 지역 정책 그리고 외부 칩4동맹 및 주변국과의 협력관계 구축 측면에서 분석하였다.

Climate change due to global warming causes a rise in atmospheric air temperature to rise and extreme shift in precipitation patterns. Carbon dioxide (CO2) is widely known as one of the major cause of global warming and accounts for about 72% of total greenhouse gas emissions. Agriculture is more vulnerable to climate change than other industries. Many studies have been conducted to investigate how agroecosystems, both natural and controlled, will respond to the rising level of CO2. Studies on the responses of crops and agricultural environments to climate change are crucial in predicting changes in agro-ecosystems. Research facilities for various types of CO2 treatment have been developed. The representative research facilities are SAR (Soil-Plant-Atmosphere-Research), OTC (Open Top Chamber), FACE (Free Air CO2 Enrichment System), and TGC & CTGC (Temperature Gradient Chamber & CO2-Temperature Gradient Chamber). Therefore, this study reviewed research data and their application in agriculture.

PURPOSES : To efficiently manage pavements, a systematic pavement management system must be established based on regional characteristics. Suppose that the future conditions of a pavement section can be predicted based on data obtained at present. In this case, a more reasonable road maintenance strategy should be established. Hence, a prediction model of the annual surface distress (SD) change for national highway pavements in Gangwon-do, Korea is developed based on influencing factors. METHODS : To develop the model, pavement performance data and influencing factors were obtained. Exploratory data analysis was performed to analyze the data acquired, and the results show that the data were preprocessed. The variables used for model development were selected via correlation analysis, where variables such as surface distress, international roughness index, daily temperature range, and heat wave days were used. Best subset regression was performed, where the candidate model was selected from all possible subsets based on certain criteria. The final model was selected based on an algorithm developed for rational model selection. The sensitivity of the annual SD change was analyzed based on the variables of the final model. RESULTS : The result of the sensitivity analysis shows that the annual SD change is affected by the variables in the following order: surface distress ˃ heat wave days ˃ daily temperature range ˃ international roughness index. CONCLUSIONS : An annual SD change prediction model is developed by considering the present performance, traffic volume, and climatic conditions. The model can facilitate the establishment of a reasonable road maintenance strategy. The prediction accuracy can be improved by obtaining additional data, such as the construction quality, material properties, and pavement thickness.

Purpose: This study aimed to understand the core concept of Rational Emotive Behavior Therapy (REBT) psychotherapy through the experience of psychotherapists by presenting an in-depth analysis of the formation and change process of their irrational beliefs. Methods: Data were collected through in-depth interviews with four REBT counselors selected through an intentional sampling process, and then analyzed and interpreted through Interpretative Phenomenological Analysis (IPA). Results: After an in-depth analysis of the meaningful statements of the study participants, six themes and fifteen sub-themes were extracted. The six themes were ‘self-hindering thoughts’, ‘environments that amplify irrational beliefs’, ‘war and struggle for the self’, ‘realization of life strategies’, ‘my big self (I) that consists of countless smaller selves (i)’, and ‘life is a continuous self-therapy’. Conclusion: The results showed that REBT psychotherapists form their irrational beliefs through the overall evaluations of justification, exaggeration, and people that arise from important interactions with others, including their parents, and further reinforce these beliefs through internal and external compensation. These irrational beliefs led to evaluative judgment and self-discrepancy and negatively influenced the cognitive, emotional, and behavioral aspects as well as their presence. These irrational beliefs internalized and transformed the rational beliefs that were confirmed through a debate on the separation between problems and people and, distancing, repeated self-talks, expanded from self-acceptance to others, and persisted through self-treatment methods

본 연구의 목적은 디지털 트랜스포메이션의 도입이 가속화 된 경영 환경 속에서 조직 내 인적자원개발(human resource development: HRD) 담당자들이 경험하는 업무 변화에 대해 알아보고, 그에 따른 필요역량 및 업무 수행 시 겪는 어려움을 탐색하는데 있다. 이러한 목적을 달성하기 위해 HRD 업무를 담당하는 현직 종사자 10명을 대상으로 하여 일대일 심층 인터뷰를 실시하였다. 그 결과 디지털 트랜스포메이션시대에 HRD 담당자의 업무는 NCS 기반의 능력단위를 기준으로 하여 전통적인 업무와 비교했을 때 강화, 감소 또는 새롭게 추가된 업무가 있는 것으로 나타났다. 또한 필요 역량은 지식, 기술, 태도, 능력이라는 범주로 나누어 도출하였는데, 테크놀로지 활용 기술 및 변화에 적극적이고 긍정적으로 대응하려는 태도 및 능력이 중요한 것으로 나타났다. 전체적으로 디지털 트렌드 및 스킬에 대한 지속적인 학습으로 인해 업무량은 증가한 것으로 나타났다. 이상의 결과를 바탕으로 본 연구에서는 조직원들의 변화를 이끌어가야 하는 HRD 담당자들에게 실천적 시사점을 제시하고, 연구의 제한점 및 향후 연구 방향에 대하여 제언하였다.

이 연구의 목적은 감성 마케팅의 대표적 성공사례로 손꼽히는 스타벅스 배경음악의 음악적 특징 을 분석하여 고객에게 긍정적 영향을 주는 음악적 요소들을 밝혀내고, 기존 연구와의 차이점을 통해 배경음악의 트렌드 변화를 알아보는 것에 있다. 분석을 위해 연구자는 스타벅스 매장을 방문 하여 표본으로 사용할 91곡의 음악을 수집하였고, 선행연구를 기반으로 배경음악 분석에 필요하 다고 여겨지는 조성, 템포, 장르, 악기 구성, 가사 유무, 발매연도 등의 음악적 요소를 분석항목 으로 설정하였다. 각 항목의 분석 결과 스타벅스의 플레이리스트는 모호한 조성과 중간 템포 이상 의 빠르기를 가진 최신 팝 음악 그리고 가사가 있는 음악들의 비율이 높았다. 이러한 결과는 장조, 느린 템포, 가사가 없는 음악과 같이 고객에게 긍정적 영향을 미친다고 알려져 있는 기존 배경음 악의 이론과 배치된다. 또한 올드 팝, 오래된 재즈 음악을 주로 사용한다는 과거의 스타벅스 배경 음악에 관한 선행연구와도 차이가 있다. 따라서 스타벅스 매장 음악에 변화가 있었음을 알 수 있 었으며, 이는 세대교체에 따른 고객의 매장 방문목적, 연령대, 음악적 취향 등을 반영한 것으로 판단된다. 본 연구는 다양한 음악적 요소들을 통해 스타벅스 배경음악의 특징을 구체적으로 분석 하고, 이를 토대로 배경음악의 트렌드 변화를 살펴본 첫 시도임에 그 의미가 있다. 또한 분석에 사용된 음악적 요소들은 배경음악 연구의 새로운 이론적 기준을 제시할 것이다.