본 연구는 서울 및 수도권에 거주하는 중소 제조기업의 조직구성원을 대상으로 하여 기업의 환경에서 심리적 주인의식을 매개로 조직공정성이 직무만족에 미치는 영향을 규명하는 데 그 목적이 있다. 본 연구는 유의 표집법을 적용하였으며 최종 분석에 사용된 표본 수는 269부이며 입력된 자료는 SPSS 20.0 프로그램을 활용하여 통계분석 작업을 하였다. 분석 결과, 첫째, 조직공정성의 하위 3가지 요인인 분배 공정성, 절차 공정성, 상호작용 공정성은 직무만족에 유의한 정(+)의 영향을 미치는 것으로 나 타났다. 둘째, 조직공정성의 3가지 하위요인인 분배 공정성, 절차 공정성, 상호작용 공정성은 심리적 주인의식에 유의한 정(+)의 영향을 주는 것으 로 나타났고, 셋째, 심리적 주인의식은 직무만족에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 넷째, 심리적 주인의식은 조직공정성의 하위 3 가지 요인인 분배 공정성, 절차 공정성, 상호작용 공정성과 직무만족 간 의 관계를 매개하는 것으로 나타났다. 따라서 중소 제조기업에서는 조직 공정성이 직무만족에 유의한 정(+)의 영향을 미치는 요인임을 알 수 있었 다. 변화하는 중소 제조기업에서 조직공정성을 통해 직무만족을 높이는 조직 및 구성원 관리가 필요하다는 것을 시사한다고 볼 수 있다. 조직이 공정하다고 지각하는 것이 개개인의 심리적 주인의식이 많이 증가하게 되 어, 조직의 효율성 증대를 위하여 조직구성원 스스로가 노력하여 적극적으로 혁신 활동 참여와 헌신에 참여도를 높이면서 직무만족이 더욱더 큰 폭으로 상승할 수 있을 것으로 기대할 수 있다.

Purpose: This study explored illness experiences and the demands for a health-related program tailored to individuals with chronic disease at one of the Korean Seon Centers. It also utilized this information as foundational data for developing a program tailored to their needs. Methods: The study utilized focus group interviews to collect data from members of one of the Korean Seon centers who have chronic disease, regarding their illness experiences and their expectations for disease management programs. The collected data was then analyzed using the qualitative content analysis method. Results: The analysis yielded five overarching themes and 14 subthemes. These themes included opposing responses to disease diagnosis, reflections on the causes of disease, efforts toward disease recovery, obstacles to disease recovery, and the need for a customized disease management program. Conclusion: The findings highlighted the challenges the participants faced in their disease recovery process. They expressed a strong desire for a comprehensive management program that incorporates in-depth information, experience sharing, and education. Such a program would empower individuals to take control of their physical and mental well-being.

For this study, we established a system for the CPU cooling performance evaluation and conducted performance tests on air-cooling and water-cooling to understand the effect of the CPU cooling method on performance. For the performance evaluation, the test chamber and water-cooling system were set up, the workload S/W was selected, and a case file was created. In the case of the air-cooling, the CPU temperature is sensitively affected by the outside air temperature, the direction of the board installation, and the influence of the airflow formed around it, and may cause a lot of fluctuations in the CPU temperature. When the water-cooling system was applied, the CPU temperature decreased from 75℃℃ to 37℃ compared to the air-cooled type under the test conditions of 28.5℃ and 3LPM cooling water supply temperature and flow rate. As the CPU clock speed increased due to the decrease in temperature, it was found that the job execution time was reduced by 15~23%. In the future, it is expected that using this performance evaluation environment established through this study will enable us to easily conduct test evaluations for various processors, cooling methods, and changes in operating conditions.

In general, small and medium-sized computer rooms do not have access floors for reasons of increased floor height and increased construction cost. Therefore, the air conditioning method used here applies the method of directly blowing the cold air of the air conditioner into the computer room. In this case, the hot/cold air is not separated, and as the hot air is recirculated, it is re-introduced to the front of the server rack, resulting in a problem that the server cooling efficiency is decreased. In addition, in such a computer room structure, it is difficult to configure and install a containment system. In this study, we tried to understand the problem of the formation airflow in the case of using the existing air conditioning method, and to find a method of configuring the air conditioning environment to improve the cooling efficiency. The purpose of this study was to understand the airflow/temperature distribution in the computer room using the CFD simulation method. In addition, the thermal characteristics of various air-conditioning environments such as the location of the CRAC cold air discharge location, the layout between server rack and CRAC and the containment were reviewed.

The IoT-based sensor network is one of the methods that can be efficiently applied to maintain the facilities, such as bridges, at a low cost. In this study, based on LoRa LPWAN, one of the IoT communications, sensor board for cable tension monitoring, data acquisition board for constructing sensor network along with existing measurement sensors, are developed to create bridge structural health monitoring system. In addition, we designed and manufactured a smart sensor node for LoRa communication and established a sensor network for monitoring. Further, we constructed a test bed at the Yeonggwang Bridge to verify the performance of the system. The test bed verification results suggested that the LoRa LPWAN-based sensor network can be applied as one of the technologies for monitoring the bridge structure soundness; this is excellent in terms of data rate, accuracy, and economy.

국내 고도성장기 이후 본격 건설되기 시작한 사회 기반 시설물은 노후화가 빠르게 진행되고 있다. 특히 사고 발생 시 대량 인명 피해로 직결될 수 있는 교량, 터널 등의 대형 구조물에 대한 안전성 평가가 필요하다. 하지만 기존의 유선 센서 기반의 Structural Health Monitoring(SHM)을 개선한 무선 스마트 센서 네트워크는 짧은 신호 도달거리로 인해 경제적이고 효율적인 시스템 구축이 힘들다. 따라서 LoRa LPWAN 시스템은 사물인터넷의 확산과 더불어 저전력 장거리 통신이 각광을 받고 있으며, 이를 구조 건전성 모니터링에 응용함으로써 경제적이면서도 효율적인 모니터링 시스템 구축이 가능하다. 본 연구에서는 LoRa LPWAN 기반의 무선 계측센서 기술 동향을 조사하였으며, LoRa LPWAN 기반의 무선 계측센서 설치 및 유지관리 방안을 제안한다.

국내 고도성장기 이후 본격 건설되기 시작한 사회 기반 시설물은 노후화가 빠르게 진행되고 있다. 특히 사고 발생 시 대량 인명 피해로 직결될 수 있는 교량, 터널 등의 대형 구조물들에 대한 안전성 평가가 필요하다. 하지만, 기존의 유선 센서 기반의 SHM을 개선한 무선 스마트 센서네트워크는 짧은 신호도달거리로 인해 경제적이고 효율적인 시스템 구축이 힘들다. 따라서 LoRa LPWAN시스템은 사물인터넷의 확산과 더불어 저전력 장거리통신이 각광을 받고 있으며, 이를 구조건전성 모니터링에 응용함으로써 경제적이면서도 효율적인 SHM 구축이 가능하다. 본 연구에서는 LoRa LPWAN의 구조건전성 모니터링에 적용 가능성을 검토하고 비면허 통신 대역을 사용함으로 인해 발생하는 채널간의 충돌을 해결하면서 대역폭을 효율적으로 활용할 수 있는 채널 기반의 LoRa 네트워크 운영방법을 제안한다.

The current study aimed to segment Mongolian female consumers based on luxury consumption values and to compare lifestyle, demographic characteristics, purchase behavior, and perceived brand personality among the segments. The survey was administered to consumers who had purchased luxury products in Ulaanbaatar, Mongolia. A total of 184 surveys were used for data analysis. Exploratory factor analysis revealed five luxury values: quality value, hedonic value, conspicuous value, social value, and unique value. Using the five luxury values, clustering analysis was conducted, showing that there were four distinct segments: passive shoppers, showoffs, rational value groups, and hedonists. ANOVAs and chi-square analyses revealed that these four segments differed in consumption values, demographic characteristics, lifestyle dimensions (including appearance consciousness, leisure orientation, life enjoyment, and achievement orientation), and purchase behavior (including purchase frequency, price of products purchased, and product selection criteria). Moreover, value segments showed differences in five dimensions of luxury brand personality: sincerity, professionalism/attractiveness, excitement, materialism, and sophistication. The results suggest that consumption values serve as a significant basis for segmentation. Furthermore, the current study indicates that value segments can be described as consumers’ perceived brand personality. The study concludes with a discussion of the results, theoretical and practical implications, and limitations.

World is now shifting from the industrial and information society to the 4th Industrial Revolution in its structure, and new products and services appear in various sectors. The 4th Industrial Revolution changes the entire daily lives in more convenient, safer, and more effective forms. There will be many changes in food industries with combination between intelligent information technologies such as IoT, big data, AI and new technologies such as 3D printing, robotics, and nano-technology, developing more intelligent ones. Intelligent IoT is one of four main basic industries for sustainable growth with future driving force in Korea. Since 2010, food smart distribution researches combining food technologies and ICT have been conducted in Korea, and core original technologies including quality management sensor, intelligent food distribution environment control system, smart warehouse, real-time quality monitoring, etc. Food smart distribution technology is a system converging ICT including sensor tag, sensor network, and LBS and food technologies for safe management of history, quality, and distribution, and it will be applied to food distribution industries, developing the domestic food distribution industries to the world-class level. Recently, IoT has been increasingly introduced into food industries, and development of new convergence technologies and adjustment to technological changes are required, and it is necessary to establish strategies for how to introduce food system based on IoT. As a result of the analysis of frequency of keywords o technological trends by applying text-mining technologies into tremendous amount of unstructured data created by newly convergence technologies between food and the Fourth Industrial Revolution, there are eight main keywords including IoT, smart sensor, artificial intelligence(AI), multi-tasking, automatic cognition/discernment, quality management, simplification of distribution, an customer-friendly. It is necessary to make national strategies for R&D. In case of Korea, ICT is the world class, and if it is applied to food industries, it will be available to develop new world-class business models.

목적 : 본 연구에서는 표전 근전도 신호를 기반으로 기존의 재활로봇 알고리즘의 성능의 개선하기 위한 새로운 특징 요소를 개발 및 검증하였다. 연구방법 : 기존의 선형 재귀 모델을 기반으로 한 실시간 로봇 제어 알고리즘을 수정하여, 2개 이상의 주파수 특징을 가지는 근 전도신호에 그 특징의 수에 맞추어 주파수 영역을 다르게 한 모델을 개발하였다. 결과 : 측정된 결과 개선된 알고리즘의 모델이 기존 모델대비 높은 정확도가 나옮을 확인할 수 있었으며, 향후 이를 적용 한다면, 근전도 기반 재활로봇의 정확도가 향상될 수 있음을 확인할 수 있었다. 결론 : 본 연구에서 제안된 복수의 필터뱅크 특징을 기반으로 한 개선될 선형 재귀알고리즘이 기존 알고리즘보다 높은 성능을 보임을 확인할 수 있었다. 이를 바탕으로 향후 뇌졸중 환자의 치료를 위한 재활 로봇을 제어하는데 활용된다면, 환자의 의지를 더욱 정확히 반영한 재활치료를 통하여 환자의 재활치료효과를 증진시킬 것이라 기대된다.

수입감자의 세척수에 존재할 수 있는 선충을 박멸하기 위하여 선박 평형수 소독에 활용되는 미세필터와 고준위의자외선 시스템을 활용하였다. 우선 미세필터(지름이 다른 4겹의 필터, 최저직경 17㎛)에 대한 뿌리혹선충의 통과여부를조사해 본 결과 유충(체폭 10.7-23.2㎛)은 통과했지만 난낭(직경 300-1,000㎛)은 통과되지 않았다. 자외선 조사에대한 선충의 사멸효과를 분석해 본 결과 유충과 알은 200 mJ/cm2 이상 처리시에 100% 살충이 되었으나 난낭속의알은 1,080 mJ/cm2처리에도 일부 부화했다. 현장적용시험에서 150톤의 세척수에 약 10만마리유충을 투여하고1,663±174 mJ/cm2의 UV 처리한 결과 생존된 선충이 검출되지 않았다. 즉, 고준위의 자외선 조사 시스템은 대용량의세척수에서 선충을 사멸하는데 적용될 수 있다. 그리고, 필터에 걸러진 난낭을 포함한 소량의 물을 소독하기 위하여열처리 시스템(50℃, 15분)을 적용함으로서 검역수준의 선충사멸효과를 얻을 수 있다고 판단된다.

Foods are becoming more customized and consumers demand food that provides great taste and appearance and that improves health. Food three-dimensional (3D)-printing technology has a great potential to manufacture food products with customized shape, texture, color, flavor, and even nutrition. Food materials for 3D-printing do not rely on the concentration of the manufacturing processes of a product in a single step, but it is associated with the design of food with textures and potentially enhanced nutritional value. The potential uses of food 3D-printing can be forecasted through the three following levels of industry: consumer-produced foods, small-scale food production, and industrial scale food production. Consumer-produced foods would be made in the kitchen, a traditional setting using a nontraditional tool. Small-scale food production would include shops, restaurants, bakeries, and other institutions which produce food for tens to thousands of individuals. Industrial scale production would be for the mass consumer market of hundreds of thousands of consumers. For this reason, food 3D-printing could make an impact on food for personalized nutrition, on-demand food fabrication, food processing technologies, and process design in food industry in the future. This article review on food materials for 3D-printing, rheology control of food, 3D-printing system for food fabrication, 3D-printing based on molecular cuisine, 3D-printing mobile platform for customized food, and future trends in the food market.

We isolated 105 strains of lactic acid bacteria (LAB) from home-made kimchi and breast milk-fed Korean infant feces on the basis of morphological analysis. This study aimed to compare the probiotic characteristics of selected strains of LAB including bile and acid tolerances, cholesterol assimilation and adhesion activity. Among the isolates of LAB, 54 isolates were identified as Lactobacillus plantarum (14 strains), L. brevis (12 strains), L. sakei (9 strains), L. acidophilus (3 strains), L. casei (1 strain), and L. fermentum (1 strain). Acid tolerances under artificial gastric juice, pH 2.5 for 2 h at 37°C, were significantly different among the Lactobacillus species. Lactobacillus acidophilus and L. plantarum strains exhibited high tolerance in acid and bile. Lactobacillus acidophilus strains exhibited high cholesterol assimilation activity and showed a significantly higher tolerance to 0.3% bile acid than other Lactobacillus strains (p<0.05). Based on these results, we selected the best strain, named NS1 (L. acidophilus) as a potential probiotics that can be utilized in the manufacturing of dairy foods and dietary supplements.

PURPOSES : This study attempts to design and establish the road surface condition detection system by using the image processing that is expected to help implement the low-cost and high-efficiency road information detection system by examining technology trends in the field of road surface condition information detection and related case studies. METHODS : Adapted visual information collecting method(setting a stereo camera outside of the vehicle) and visual information algorithm(transform a Wavelet Transform, using the K-means clustering) Experiments and Analysis on Real-road, just as four states(Dry, Wet, Snow, Ice). RESULTS : Test results showed that detection rate of 95% or more was found under the wet road surface, and the detection rate of 85% or more in snowy road surface. However, the low detection rate of 30% was found under the icy road surface. CONCLUSIONS : As a method to improve the detection rate of the mobile road surface condition information detection system developed in this study, more accurate phase analysis in the image processing process was needed. If periodic synchronization through automatic settings of the camera according to weather or ambient light was not made at the time of image acquisition, a significant change in the values of polarization coefficients occurs.

I selected a hypermarket as a research target by investigating energy consumption and total area of each 11 hypermarkets and suggested energy saving key elements by analyzing the cooling and heating loads. I completed a calibrated simulation model by searching literature, site survey and dynamic simulation tool. I separated the energy-saving elements into architectural and facility sections by searching domestic standards as well as theses, and applied those elements to the calibrated simulation to calculate the energy consumption. Then I suggested energy saving elements that suitable for the hypermarkets by comparing each energy consumption of architectural and facility sections.

본 연구에서는 말단기에 diene 기와 dithiol 기를 갖는 두 가지 새로운 액정 단량체의 합성을 보고하며, 이를 배향 후 광경화하여 광학 위상지연 필름을 제조하는 방법에 대해 논의하였다. 특히 합성된 두 가지액정단량체의 구조를 확인하였으며, 이들의 액정특성을 연구하였다. 또한 이들을 광개시제와 혼합하여광경화형 액정조성물을 제조하고 이를 러빙 배향막이 코팅된 표면 위에서배향시킨 후 광조사하여 thiol-ene 중합에 의해 경화함으로써 광학 위상지연 필름을 제조하였다.

The purpose of the study, approaching from the aspect of the construction technologies, is to determine the architectural techniques of traditional wood architects in existence, through which the systems and techniques that create the inherent characteristics of Korean architecture are clarified. With understanding traditional construction system and focusing on the fact that built environment results from the consistent standards and technologies of architects, this study inquires into the systematic standard and its formation that present in the process of planning for the overall scale and shape of a building from the study determines dimension of structural members. All the members that constitute the structure are trimmed in advance and assembled in a short period of time on the site. Because of that, the dimensions for trimming and assembling are predetermined according to designated standards in the planning process, therefore consistent standard of computation are in necessity to design shapes and sizes of enormous amount of structural members. This study also shows the standards of measurement employed by architects while planning for structural members of a building, and how the size and range of its composition are developed.