Digital technology has been increasingly applied in the traditional tourism forms, including the heritage tourism. However, the role of technology and tradition for attracting tourists in industrial heritage tourism destinations has not been clearly identified. To narrow the research gaps, this study adopted a two stage study, based on grounded theory and factor analyses. In Study 1, through the data analysis of 60 in-depth interviews, 10 stimuli factors in 3 categories were identified. In Study 2, a questionnaire was developed based on the results of Study 1, through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), we established and tested a model of on-site stimulus factors. Findings can deepen the understanding of industrial heritage tourism from a tourist perspective and offer practical implications.

Consumer brand engagement (CBE) signals propensity for brand purchase. A scale proposes three dimensions of CBE (i.e., cognitive, affective and activation dimensions) but the dimensions prominent and driving brand purchase intentions in an Instagram cosmetic purchase context need examination. In this context, this study tests Hollebeek, Glynn and Brodie’s (2014) 10-items/3 dimensions scale and examines an outcome of cosmetics brand purchase intention on Instagram. Data was quantitatively collected from 203 consumers who were students and non-students using convenience and snowballing non- probability sampling method. Confirmatory factor analysis and structural equation modelling were used to analyse the data. The results revealed that although the three CBE dimensions were identified in a Cosmetic Instagram purchase context, it was the affective and activation dimensions that positively predicted consumers’ intentions to purchase cosmetic brands after engaging with the brand on Instagram. Theoretical and practical implications are provided.

정서표상에 대한 논의 중 첫 번째는 정서가 차원에서의 정서표상, 두 번째는 감각양상에 따른 정서표상을 설명하는 것이 다. 선행연구에서는 정서표상을 설명하기 위해 정서가 모델(부호 정서가, 비부호 정서가), 감각양상에 따른 정서표상 모델 (감각보편성, 감각특징성)들이 제시되었다. 본 연구에서는 최근에 등장한 ASMR을 이용하여 기존 연구에서 제시된 모델들 을 비교하여 어떠한 모델이 정서표상을 잘 설명하는지 확인하고자 하였다. 본 연구에서 사용한 자료는 Kim & Kim(2022) 에서 수집한 3개의 정서유형(부정, 중립, 긍정) 및 2개의 감각양상(청각, 시청각)으로 구분된 ASMR 자극에 대한 정서평정 자료를 사용하였다. 이후, 해당 자료에 대한 다차원척도법, 표상 유사성 분석 및 이원 변량분석, 다중회귀분석 및 이원 변량 분석을 실시하였다. 다차원척도법 결과, 비부호 정서가에 비해 부호 정서가, 감각특징성에 비해 감각보편성에서 자극의 정 서유형 간 구분이 잘 이루어졌다. 다차원척도법 결과와 유사하게, 표상 유사성 분석 및 다중회귀분석 결과 또한 비부호 정서가에 비해 부호 정서가, 감각특징성에 비해 감각보편성이 유의하게 정서표상을 잘 설명하였다. 이러한 결과는 정서가 모델 중 1차원의 양극단에 긍정과 부정이 위치하는 모델이 ASMR에 대한 정서표상을 잘 설명하며, 감각양상과 상관없이 정서표상이 일관적임을 시사한다.

Surface free energy is an important parameter in surface and interface properties of fiber reinforced polymer composite. The BET (Brunauer, Emmett, and Teller) surface area and surface energy of the sample can be obtained by Inverse Gas Chromatography (IGC) based on the adsorption principle. In this paper, surface energy of carbon fiber bundle was tested by means of IGC under different conditions to find reliable test parameters. The main parameters involved include length, mass, and packing density of sample, target fractional surface coverage, flow rate, and maximum elution time. It is demonstrated that IGC has the advantages of simple sample preparation, stable test data, high automation, and high sensitivity for carbon fiber. Among all test conditions, packing density and flow rate have the greatest influences on the experimental results. The optimized test parameters are suitable for various kinds of carbon fiber bundles, including polyacrylonitrilebased and pitch-based carbon fibers with different tensile properties and tow sizes. Moreover, IGC can acutely characterize the surface properties of carbon fibers after carbon nanotube modification and heat treatment, which are hard to carry out using contact angle method.

The Korea Laboratory Accreditation Scheme (KOLAS) is the national accreditation body responsible for providing accreditation services to testing and calibration laboratories. The primary objective of KOLAS is to promote the quality and reliability of laboratory testing by providing nationally and internationally recognized accreditation services. Laboratories accredited by KOLAS are required to meet rigorous international standards set by the International Organization for Standardization (ISO) and are subject to regular assessments to ensure ongoing compliance with the standards. KOLAS accreditation is highly regarded both domestically and internationally, and is recognized for providing high-quality and reliable testing services. The nuclear analysis laboratory at KINAC has been working to establish a quality management system to ensure the external reliability of analytical results and to secure its position as an authorized testing agency. To achieve this, a detailed manual and procedure for nuclear material analysis were developed to conform to the international standards of ISO/IEC 17025. This study presents the preparation process for establishing the management system, focusing on meeting technical and quality requirements for the implementation of the ISO/IEC 17025 standard in the KINAC nuclear analysis laboratory, specifically in the field of chemical testing (dosimetry, radioactive, and neutron measurement subcategories). The preparation process involved two tracks. The first track focused on satisfying technical requirements, with Thermal Ionization Mass Spectrometer (TIMS) and Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) selected as the major equipment for analysis. Analytical methods for determining isotope ratios and concentrations of nuclear materials were determined, and technical qualification was ensured through participation in proficiency test programs, inter-experimenter comparison tests, and uncertainty reports. The second track focused on developing the quality system, including quality manuals, procedures, and guidelines based on the requirements of the ISO/IEC 17025 standard. Various implementation documents were produced during the six-month pilot period, in accordance with the three levels of documents required by the standard. Implementation of ISO/IEC 17025 is expected to have a systematic quality management process for the analysis lab’s operations and to increase confidence in KINAC’s nuclear analysis.

The fuel oil used for ships has the viscosity higher than the fuel used for general vehicles and contain impurities, so it’s exhaust gas results in the environment pollution. There have been studies actively conducted to examine alternative fuels for improving the quality of the marine fuel oil. It is, however, necessary to test the quality of fuel for mega ships, by conducting the simulation test using reduced-size models, before the demonstration step, because it takes too much cost and time to directly perform the demonstration of alternative fuels. This study, therefore, developed a 30-liter small-size boiler similar to the ship system and performed an initial fuel test by applying MGO to it. The findings show that the amount of nitrogen oxide to which 4% of the standard oxide level was applied was about 24.69ppm, when the oxide level was 10.02%, with the CO2 of 8.02%, the exhaust gas temperature of 291.15℃ and the combustion efficiency of about 74.53%, indicating that it will be necessary to conduct various studies through the ratio control in the future.

본 연구는 범주속성들이 공통원인 혹은 공통효과 인과 네트워크로 연결되었을 때 인과강도에 따른 속성추론을 검증했다. 인과범주에서 속성추론을 검증한 기존 연구들은 인과관계의 방향, 연결된 속성의 개수, 원인 혹은 결과의 여부 등에 따라 고유한 추론 패턴이 나타남을 보여주었다. 다만 기존 연구들은 인과관계에 따른 추론패턴을 주로 탐색했으며 인과관계의 효과가 인과강도에 따라 어떤 변화를 보이는지 확인한 연구는 찾아보기 어렵다. 본 연구에서 는 공통원인(실험 1), 공통효과(실험 2) 네트워크에서 인과강도에 따른 속성추론을 검증했다. 이를 위해 참가자들에 게 속성들이 인과적 관련성을 가지는 범주를 학습하게 한 다음 속성추론 과제를 실시하도록 했다. 실험 결과 인과관 계 뿐만 아니라 인과강도 역시 속성추론에 중요한 영향을 미쳤다. 인과강도가 강할 떄 공통원인 속성에 대해서는 추론이 약해진 반면 공통효과 속성에 대해서는 추론이 강해졌다. 또한 인과강도가 강할 때 공통원인이 존재하는 경 우 결과속성들에 대한 추론이 강해진 반면 공통효과에서는 반대의 결과가 나타났다. 특히 공통효과에서는 인과강도 가 강할 때 인과적 절감이 더 뚜렷하게 나타났다. 이 결과들은 인과적 범주에서의 속성추론에서 참가자들은 인과관 계 뿐만 아니라 인과강도를 고려한다는 것을 일관성있게 보여준다.

In stream ecosystem assessment, RIVPACS, which makes a simple but clear evaluation based on macroinvertebrate community, is widely used. In this study, a preliminary study was conducted to develop a RIVPACS-type model suitable for Korean streams nationwide. Reference streams were classified into two types (upstream and downstream), and a prediction model for macroinvertebrates was developed based on each family. A model for upstream was divided into 7 (train): 3 (test), and that for downstream was made using a leave-one-out method. Variables for the models were selected by non-metric multidimensional scaling, and seven variables were chosen, including elevation, slope, annual average temperature, stream width, forest ratio in land use, riffle ratio in hydrological characteristics, and boulder ratio in substrate composition. Stream order classified 3,224 sites as upstream and downstream, and community compositions of sites were predicted. The prediction was conducted for 30 macroinvertebrate families. Expected (E) and observed fauna (O) were compared using an ASPT biotic index, which is computed by dividing the BMWPK score into the number of families in a community. EQR values (i.e. O/E) for ASPT were used to assess stream condition. Lastly, we compared EQR to BMI, an index that is commonly used in the assessment. In the results, the average observed ASPT was 4.82 (±2.04 SD) and the expected one was 6.30 (±0.79 SD), and the expected ASPT was higher than the observed one. In the comparison between EQR and BMI index, EQR generally showed a higher value than the BMI index.

PURPOSES : In this study, the alkali aggregate reactivity and expansion characteristics of mortar mixed with waste glass (a recycled aggregate) were confirmed to verify the alkali-silica reaction (ASR) stability and review the appropriateness of the alkali aggregate reactivity test method following the replacement of recycled aggregate. METHODS : The alkali-aggregate reactivity of waste glass aggregates was measured using the chemical and physical methods described in KS F 2545 and ASTM C 1260, respectively. The reactivity was classified by comparing the results. Cement with a high-alkali content was used to simulate an environment that can induce ASR. Non-reactive fine aggregates, waste glass fine aggregates, reactive general aggregates, and Ferronickel slag aggregates were used as control groups. RESULTS : Waste glass fine aggregates were classified as reactive when applying the chemical method. In the physical method, they were classified as reactive at 100% and latent reactive at 1%, based on the mixing ratio. Additionally, we discovered that the reliability of the chemical method was low since the ASR of the aggregates was classified differently based on the evaluation method, while the results of the chemical and physical test methods were inconsistent. CONCLUSIONS : To determine the alkali reactivity of recycled aggregates, the complex use of chemical and physical methods and analysis based on the mixing ratio of the reactive aggregates are required. Small amounts of waste glass aggregate replacements affected the ASR. Because ASR reaction products can affect the long-term thermal expansion of the structure, further research is needed to use ASR aggregates in structures.

In a group-testing method, instead of testing a sample, for example, blood individually, a batch of samples are pooled and tested simultaneously. If the pooled test is positive (or defective), each sample is tested individually. However, if negative (or good), the test is terminated at one pooled test because all samples in the batch are negative. This paper considers a queueing system with a two-stage group-testing policy. Samples arrive at the system according to a Poisson process. The system has a single server which starts a two-stage group test in a batch whenever the number of samples in the system reaches exactly a predetermined size. In the first stage, samples are pooled and tested simultaneously. If the pooled test is negative, the test is terminated. However, if positive, the samples are divided into two equally sized subgroups and each subgroup is applied to a group test in the second stage, respectively. The server performs pooled tests and individual tests sequentially. The testing time of a sample and a batch follow general distributions, respectively. In this paper, we derive the steady-state probability generating function of the system size at an arbitrary time, applying a bulk queuing model. In addition, we present queuing performance metrics such as the offered load, output rate, allowable input rate, and mean waiting time. In numerical examples with various prevalence rates, we show that the second-stage group-testing system can be more efficient than a one-stage group-testing system or an individual-testing system in terms of the allowable input rates and the waiting time. The two-stage group-testing system considered in this paper is very simple, so it is expected to be applicable in the field of COVID-19.

When developing a new motor, a high-speed load test is performed using dynamo equipment to calculate the efficiency of the developed motor using the collected dynamo data. When connecting the test motor and the dynamo used as a load, abnormal noise and vibration may occur in the test equipment rotating at high speed due to misalignment of the connecting shaft and looseness of the connection, which may lead to a safety accident. In this study, three vibration sensors are attached to the surface of bearing parts of the test motor to measure the vibration value, and statistics such as kurtosis, skewness, and percentiles are obtained in order to clearly express the pattern of the measurement data. With these statistics, machine learning models are developed. The developed model in this way can be used as a diagnostic system that can detect abnormal conditions of the motor test equipment through monitoring the motor vibration data during the motor test.

The reliable information on the hydraulic characteristics of rock mass is one of the key site factors for design and construction of deep subsurface structures such as geological radioactive nuclear waste disposal repository, underground energy storage facility, underground research laboratory, etc. In order to avoid relying on foreign field test technology in future projects, we have independently designed and made integrated type main frame, 120 bar waterproof downhole sonde, and 1,200 m wireline cable winch through a series of R&D activities. They are core apparatuses of the Deep borehole Hydraulic Test System (DHTS). Integration of individual test equipment into a single main frame allows safe and efficient work in the harsh field condition. The DHTS was developed aiming primarily for constant pressure (head) injection test and pulse test in deep impermeable rock mass. The maximum testing depth of the DHTS is about 1,050 m from the surface. Using this system, it is possible to make precise stepwise control of downhole net injection pressure in less than 2.0 kgf/cm2 with dual hydraulic volume controller and also to inject and measure the very low flow rate below 0.01 l/min with micro flow rate injection/control module. Over the past two years, we have successfully completed more than 50 in situ hydraulic tests at 5 deep boreholes located in the Mesozoic granite and sedimentary rock regions in Korea. Among them, the deepest testing depth was more than 920 m. In this paper, the major characteristics of the DHTS are introduced and also some results obtained from the high precision field tests in the deep and low permeable rock mass environment are briefly discussed.