• Title/Summary/Keyword: 신뢰관리

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Alcohol content analysis for Takju, a representative traditional liquor in Korea (대한민국 대표 전통주 탁주의 알코올 도수 분석)

  • Oh, Chang-Hwan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.631-636
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    • 2022
  • Alcohol content, which is an important standard for Takju, a traditional multiple parallel fermentation liquor called makgeolli, is a factor that can affect the flavor. For alcohol content analysis, the distillation/hydrometry technique is mainly used. In this study, we analyzed the alcohol content of 14 commercially available Takju by the distillation/hydrometry technique and the improved GC method, respectively, after verifying the reliability of improved GC method. The precision and accuracy of the GC method were satisfactory, and LOQ and LOD were evaluated as 0.5% and 0.1% of ethanol contents, respectively. Among the three Takju exceeding the labelled alcohol content ±1, one Takju was quantitated as alcohol content 9.9% (by GC method) and 10.1% (distillation/hydrometry technique) exceeding labelled 6.0%. It was within the analytical error range of alcohol content for other two Takju, where the alcohol contents were exceeded -1.1%. The average precision (%RSD) of 14 Takju analyzed by the distillation/hydrometry technique (36.2%) and the GC method (12.8%), confirming that the GC method was better than the other. The improved GC method was evaluated to be effective in managing and improving the alcohol content standard of Takju with the wide range of alcohol content.

PV Inverter Operation according to DC Capacitor Aging (직류 커패시터 노후화에 따른 PV 인버터 동작)

  • Yongho Yoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.149-155
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    • 2023
  • Photovoltaic power generation is the most familiar power generation facility among new and renewable energies, and its supply began to expand about 10 years ago, and at this point, interest in solutions and technologies for system maintenance management is increasing. In particular, it is necessary to take measures to maximize the overall efficiency of the solar power generation system, whether or not there is an abnormality in the solar power generation system, and when to replace parts. The PV inverter, one element of the photovoltaic power generation system, is a power conversion system that relies on power switching devices, and DC-Link capacitors are used according to the configuration of DC/DC converters and DC-AC inverters. These DC capacitors also affect system safety (Safety) through renewable energy facilities due to the decrease in power generation of PV inverters, power loss, and increase in harmonics (THD, total distortion of AC output current) due to aging and deterioration due to long-term use. factors can be analyzed. Therefore, in this paper, the PV inverter operating characteristics according to the DC capacitor capacity state currently operating in the photovoltaic power generation system were considered, and research contents were proposed to secure the safety and reliability of renewable energy facilities.

A study on the measurement and processing of medical service experience data - From the perspective of realizing patient-centeredness - (의료서비스 경험데이터의 측정 및 가공에 관한 연구 -환자중심성 실현 관점에서-)

  • Jinho, Ahn;Jungmin, Choi
    • Journal of Service Research and Studies
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    • v.13 no.3
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    • pp.147-159
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    • 2023
  • This study is a study to develop a model for measurement and processing of experience data, which is emerging as a core value in quality management of medical services. In the theoretical background, a literature study was conducted on the importance of experience in medical service, measurement and processing of experience data, and realization of patient-centeredness. Based on these literature and theoretical background research results, operational definitions were performed for the following four research variables, and statistical tests were conducted. Hypothesis 1 is the effect of measuring experience data from the perspective of three factors on persona modeling, Hypothesis 2 is the effect of persona modeling on service blueprint visualization, Hypothesis 3 is the effect of service blueprint visualization on realization of patient-centeredness, and Hypothesis 4 is persona modeling This is the effect that modeling has on the realization of patient-centeredness. After data-based testing of factor analysis, reliability analysis, and correlation analysis, all four hypotheses were adopted as a result of verification using regression analysis. In conclusion, in an era where it is difficult to recognize the value of having only good medical staff and medical equipment in hospitals, it was possible to grasp the meaning that what kind of medical service experience is continuously obtained is more important to patients than the effectiveness of medical staff and medical equipment. In the era of the service economy, the core of hospital service competitiveness is providing attractive experiences, which is the real strength of hospitals, so the measurement and processing of experience data, which is the subject of this study, will have an important meaning in realizing patient-centeredness and realizing smart hospitals.

A Case Study on the Cause Analysis of Land creep Using Geophysical Exploration (물리탐사를 활용한 땅밀림 원인분석의 사례적 연구)

  • Jae Hyeon Park;Gyeong Mi Tak;Kook Mook Leem
    • Journal of Korean Society of Forest Science
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    • v.112 no.3
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    • pp.382-392
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    • 2023
  • Recent reports have indicated a rapid increase in the frequency of sediment disasters due to climate change and other changes in the geological environment. Given this alarming situation and the recent increase in the frequency of land creep in Korea, systematic and efficient recovery and management of land creep areas is essential. The purpose of this study is to identify disaster vulnerability by conducting a physical exploration of land creep in San 4-1, Jayeon-ri, Gaegun-myeon, Yangpyeong-gun, Gyeonggi-do, and examine stability by identifying the overall geological structure of the affected ground. In addition, drilling surveys are conducted to verify the reliability of the measured data. The results of the study reveal that low specific resistance abnormalities are distributed in the upper part of the soil layer and weathering zone and that this section is a 50-120 m exploration line. It is also confirmed to be a low-hardness ground area where tensile cracks are observed. Therefore, there is a need for research focused on developing measures to reduce economic and social damage within the domestic context by continuously monitoring indicators of land creep and identifying land creep risks.

A Study on Data Clustering of Light Buoy Using DBSCAN(I) (DBSCAN을 이용한 등부표 위치 데이터 Clustering 연구(I))

  • Gwang-Young Choi;So-Ra Kim;Sang-Won Park;Chae-Uk Song
    • Journal of Navigation and Port Research
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    • v.47 no.4
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    • pp.231-238
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    • 2023
  • The position of a light buoy is always flexible due to the influence of external forces such as tides and wind. The position can be checked through AIS (Automatic Identification System) or RTU (Remote Terminal Unit) for AtoN. As a result of analyzing the position data for the last five years (2017-2021) of a light buoy, the average position error was 15.4%. It is necessary to detect position error data and obtain refined position data to prevent navigation safety accidents and management. This study aimed to detect position error data and obtain refined position data by DBSCAN Clustering position data obtained through AIS or RTU for AtoN. For this purpose, 21 position data of Gunsan Port No. 1 light buoy where RTU was installed among western waters with the most position errors were DBSCAN clustered using Python library. The minPts required for DBSCAN Clustering applied the value commonly used for two-dimensional data. Epsilon was calculated and its value was applied using the k-NN (nearest neighbor) algorithm. As a result of DBSCAN Clustering, position error data that did not satisfy minPts and epsilon were detected and refined position data were acquired. This study can be used as asic data for obtaining reliable position data of a light buoy installed with AIS or RTU for AtoN. It is expected to be of great help in preventing navigation safety accidents.

The effect of transformational leadership recognized by members of the telemarketing organization on organizational performance-centered on the moderating effect of followership (텔레마케팅 조직구성원이 인식한 변혁적 리더십이 조직성과에 미치는 영향-팔로워십의 조절효과를 중심으로)

  • JiHyun Shim
    • Journal of Service Research and Studies
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    • v.12 no.3
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    • pp.45-59
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    • 2022
  • This study attempted to investigate how the transformational leadership perceived by flowers of telemarketing organizations. In particular, this study explored the moderating effect of followership in the relationship between transformational leadership and organizational performance. To verify the research model, 321 surveys collected from 10 domestic call centers were analyzed. Reliability, correlation, factor analysis, and hierarchical regression analysis were performed, and as a result of the analysis, it was found that the transformational leadership in the telemarketing organizations had a positive effect on organizational performance. In addition, it was confirmed that goal consistency, proactive participation, critical thinking, and team spirit, which are the four sub-variables of followership, all have a positive (+) effect on organizational performance, and both goal consistency and proactive participation moderate the relationship between transformational leadership and organizational performance. Considering the special working environment of telemarketing organizations, the results of this study suggest the need for a corporate educational role to increase transformational leadership and followership and the need to build environments by setting up an atmosphere for members to exercise follow-up, and opening up communication structures for members to follow.

Reliable Assessment of Rainfall-Induced Slope Instability (강우로 인한 사면의 불안정성에 대한 신뢰성 있는 평가)

  • Kim, Yun-Ki;Choi, Jung-Chan;Lee, Seung-Rae;Seong, Joo-Hyun
    • Journal of the Korean Geotechnical Society
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    • v.25 no.5
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    • pp.53-64
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    • 2009
  • Many slope failures are induced by rainfall infiltration. A lot of recent researches are therefore focused on rainfall-induced slope instability and the rainfall infiltration is recognized as the important triggering factor. The rainfall infiltrates into the soil slope and makes the matric suction lost in the slope and even the positive pore water pressure develops near the surface of the slope. They decrease the resisting shear strength. In Korea, a few public institutions suggested conservative slope design guidelines that assume a fully saturated soil condition. However, this assumption is irrelevant and sometimes soil properties are misused in the slope design method to fulfill the requirement. In this study, a more relevant slope stability evaluation method is suggested to take into account the real rainfall infiltration phenomenon. Unsaturated soil properties such as shear strength, soil-water characteristic curve and permeability for Korean weathered soils were obtained by laboratory tests and also estimated by artificial neural network models. For real-time assessment of slope instability, failure warning criteria of slope based on deterministic and probabilistic analyses were introduced to complement uncertainties of field measurement data. The slope stability evaluation technique can be combined with field measurement data of important factors, such as matric suction and water content, to develop an early warning system for probably unstable slopes due to the rainfall.

Convergence Research on Infection Awareness of Uniforms, Recognition of Laundry Rules, and Intention to Prevent Infectious Diseases: Focusing on Individualism, Collectivism, and Self-esteem (유니폼의 감염인식, 세탁 규정 인식, 감염병 예방 의도에 관한 융합연구: 개인주의, 집단주의, 자아존중감 중심으로)

  • Eun-Gyo Son;Il-Soon Park
    • Journal of Industrial Convergence
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    • v.21 no.3
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    • pp.139-148
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    • 2023
  • This study was conducted through Google online survey from November 24 to November 26, 2021 targeting 276 students from the department of dental hygiene at a university in Gangwon-do. The purpose of this study was to investigate the infection awareness of uniforms, recognition of washing rules, and the intention to prevent infectious diseases through individualism and collectivist self-esteem. Statistical methods were analyzed using SPSS Statistics 24.0 and AMOS 21.0 as follows. For analysis, frequency analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis, structural equation, and ANOVA analysis were performed. As a result, it was confirmed that the models of uniform infection awareness, uniform washing rule recognition(p<.001), self-esteem, individualism, and collectivist intention to prevent infectious diseases were suitable(p<.001). Collectivism was found to affect the perception of uniform infection, the recognition of uniform washing rules, and the intention to prevent infectious diseases, confirming that self-esteem and collectivism had an effect on the change of perception for infection prevention. In the future, it will be possible to use the uniform washing method considering collectivism in infection control education of the dental hygiene.

Prediction of Physical Properties and Shear Wave Velocity of the Ground Using the Flat TDR System (Flat TDR 시스템을 이용한 지반의 물리적 특성 및 전단파속도 예측)

  • Jeong, Chanwook;Kim, Daehyeon
    • The Journal of Engineering Geology
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    • v.32 no.1
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    • pp.173-191
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    • 2022
  • In this study, the shear wave velocity of the ground was measured using Flat TDR, and the precision analysis of the measured value and the verification of field applicability were performed. The shear wave velocity measurement value was derived in the field using the piezo-stack combined in the Flat TDR. analyzed. As a result of the experiment, the average value of the change in shear wave speed at the time of grout material injection was 10.15 m/s at the beginning of age, and the average value of the change in shear wave speed after the 7th to 14th days was 65.99 m/s, showing a tendency to increase with age. Also, it was found that dry density and shear wave speed increased as the water content increased on the dry side, and that the dry density and shear wave rate decreased as the water content increased on the wet side as the water content increased. The shear modulus value derived from the field test was confirmed to be a minimum of 17.36 MPa and a maximum of 28.13 MPa, confirming a measurement value similar to the reference value. Through this, it can be seen that the measured value of the shear modulus using Flat TDR is reliable data, and it can be determined that the compaction management of the site can be effectively managed in the future.

Efficient IoT data processing techniques based on deep learning for Edge Network Environments (에지 네트워크 환경을 위한 딥 러닝 기반의 효율적인 IoT 데이터 처리 기법)

  • Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.325-331
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    • 2022
  • As IoT devices are used in various ways in an edge network environment, multiple studies are being conducted that utilizes the information collected from IoT devices in various applications. However, it is not easy to apply accurate IoT data immediately as IoT data collected according to network environment (interference, interference, etc.) are frequently missed or error occurs. In order to minimize mistakes in IoT data collected in an edge network environment, this paper proposes a management technique that ensures the reliability of IoT data by randomly generating signature values of IoT data and allocating only Security Information (SI) values to IoT data in bit form. The proposed technique binds IoT data into a blockchain by applying multiple hash chains to asymmetrically link and process data collected from IoT devices. In this case, the blockchainized IoT data uses a probability function to which a weight is applied according to a correlation index based on deep learning. In addition, the proposed technique can expand and operate grouped IoT data into an n-layer structure to lower the integrity and processing cost of IoT data.