• Korean Business Review
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• v.11
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• pp.101-122
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• 1998

This study is to analyze the effect of product involvement on consumer purchase process. From review on previous involvement literatures, enduring product involvement can be defined as "a person's arousal and motivational state activated by product on the basis of his basic value, objective and ego-relevance." To evaluate the effect of involvement on product purchase process, 11 hyphotheses concerning behavioral aspects which is expected to comprise consumer purchase process and to be influenced by degree of involvement were constructed: prepurchase information search, alternative brand comparision, utilization of product attribute, brand differentiation, brand commitment, product knowledge, influence of reference group, dependence on price, price awareness, cognitive dissonance and purchase optimization. Hyphotheses are tested with data from 388 housewives through 20 item involvement scale developed with multi-dimensional perspective on involvement. The scale successfully provides rank order of 8 selected products expected to cover the spectrum of product involvement: formal clothes, coffee, washing machine, shampoo, perfume, detergent, soft drink, pain-reliever as the order of product involvement. Major findings of this study are as follow. First of all, incresed differences were found in hihg involvement product like formal clothes with respect to the degree of prepurchase information search, alternative brand comparision, utilization of product attribute, influence of reference group in any method of analysis. Secondly, invlovement should be interpreted as a consumer characteristic rather than a product one. This means that consumers involve themselves with products, instead products themselves do not have any involvement.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.67-75
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• 2018

We sought to develop a multi-dimensional tool for measuring and understanding nurse fatigue. The participants were 301 nurses working in four hospitals in Seoul, South Korea. Basic items were developed after a preliminary literature review, and content validity was verified by a group of experts. The first 52 items from which the fatigue measurement tool was to be developed were tested for construct validity and were reduced via factor analysis to 31 items. Following a confirmatory factor analysis, the items were further reduced to 23 items in three categories: physical, mental, and emotional. A confirmatory factor analysis found the items to be adequate. The fatigue scale was found to have high construct validity and reliability. This scale is expected to serve as a preliminary data-gathering tool to assess the level of nurse fatigue and to develop interventions to alleviate it.

• Korean Journal of Geomatics
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• v.2 no.1
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• pp.47-55
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• 2002

Remote sensing is the science and art of obtaining information about an object, area or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigation./sup 1)/ EOC (Electro -Optical Camera) sensor loaded on the KOMPSAT-1 (Korea Multi- Purpose Satellite-1) performs the earth remote sensing operation. EOC can get high-resolution images of ground distance 6.6m during photographing; it is possible to get a tilt image by tilting satellite body up to 45 degrees at maximum. Accordingly, the device developed in this study enables to obtain images by photographing one pair of tilt image for the same point from two different planes. KOMPSAT-1 aims to obtain a Korean map with a scale of 1:25,000 with high resolution. The KOMPSAT-1 developed automated feature extraction system based on stereo satellite image. It overcomes the limitations of sensor and difficulties associated with preprocessing quite effectively. In case of using 6, 7 and 9 ground control points, which are evenly spread in image, with 95% of reliability for horizontal and vertical position, 3-dimensional positioning was available with accuracy of 6.0752m and 9.8274m. Therefore, less than l0m of design accuracy in KOMPSAT-1 was achieved. Also the ground position error of ortho-image, with reliability of 95%, is 17.568m. And elevation error showing 36.82m was enhanced. The reason why elevation accuracy was not good compared with the positioning accuracy used stereo image was analyzed as a problem of image matching system. Ortho-image system is advantageous if accurate altitude and production of digital elevation model are desired. The Korean map drawn on a scale of 1: 25,000 by using the new technique of KOMPSAT-1 EOC image adopted in the present study produces accurate result compared to existing mapping techniques involving high costs with less efficiency.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.1-8
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• 2018

Whole body fatigue detection is an important phenomenon and the factors contributing to whole body fatigue can be controlled if a mathematical model is available for its assessment. This research study aims at developing a model that categorizes whole body exertion into fatigued and non-fatigued states based on physiological and perceived variables. For this purpose, logistic regression was used to categorize the fatigued and non-fatigued subject as dichotomous variable. Normalized mean power frequency of eight muscles from 25 subjects was taken as physiological variable along with the heart rate while Borg scale ratings were taken as perceived variables. The logit function was used to develop the logistic regression model. The coefficients of all the variables were found and significance level was checked. The detection accuracy of the model for fatigued and non-fatigues subjects was 83% and 95% respectively. It was observed that the mean power frequency of anterior deltoid and the Borg scale ratings of upper and lower extremities were significant in predicting the whole body fatigued when evaluated dichotomously (p < 0.05). The findings can help in better understanding of the importance of combined physiological and perceived exertion in designing the rest breaks for workers involved in squat lifting tasks in industrial as well as health sectors.

• Smart Structures and Systems
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• v.29 no.1
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• pp.181-193
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• 2022

Data-driven structural health monitoring (SHM) of civil infrastructure can be used to continuously assess the state of a structure, allowing preemptive safety measures to be carried out. Long-term monitoring of large-scale civil infrastructure often involves data-collection using a network of numerous sensors of various types. Malfunctioning sensors in the network are common, which can disrupt the condition assessment and even lead to false-negative indications of damage. The overwhelming size of the data collected renders manual approaches to ensure data quality intractable. The task of detecting and classifying an anomaly in the raw data is non-trivial. We propose an approach to automate this task, improving upon the previously developed technique of image-based pre-processing on one-dimensional (1D) data by enriching the features of the neural network input data with multiple channels. In particular, feature engineering is employed to convert the measured time histories into a 3-channel image comprised of (i) the time history, (ii) the spectrogram, and (iii) the probability density function representation of the signal. To demonstrate this approach, a CNN model is designed and trained on a dataset consisting of acceleration records of sensors installed on a long-span bridge, with the goal of fault detection and classification. The effect of imbalance in anomaly patterns observed is studied to better account for unseen test cases. The proposed framework achieves high overall accuracy and recall even when tested on an unseen dataset that is much larger than the samples used for training, offering a viable solution for implementation on full-scale structures where limited labeled-training data is available.

• The Journal of the Acoustical Society of Korea
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• v.42 no.4
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• pp.357-363
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• 2023

In underwater signal processing, separating individual signals from mixed signals has long been a challenge due to low signal quality. The common method using Short-time Fourier transform for spectrogram analysis has faced criticism for its complex parameter optimization and loss of phase data. We propose a Triple-path Recurrent Neural Network, based on the Dual-path Recurrent Neural Network's success in long time series signal processing, to handle three-dimensional tensors from multi-channel sensor input signals. By dividing input signals into short chunks and creating a 3D tensor, the method accounts for relationships within and between chunks and channels, enabling local and global feature learning. The proposed technique demonstrates improved Root Mean Square Error and Scale Invariant Signal to Noise Ratio compared to the existing method.

• Korean Journal of Psychosomatic Medicine
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• v.29 no.1
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• pp.58-66
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• 2021

Objectives : The purpose of this study is to compare the psychosocial characteristics of patients diagnosed with functional gastrointestinal disorder (FGID) by classifying them into irritable bowel syndrome (IBS), functional dyspepsia (FD), functional constipation (FC), functional heartburn (FH) groups, and overlap group (two or more functional diseases) and to examine the factors associated with the quality of life (QoL) of patients with FGID. Methods : A total of 144 patients who were diagnosed with FGID were selected as the subjects. The demographical factors were investigated; Korean-Beck Depression Inventory-II (K-BDI-II), Korean-Beck Anxiety Inventory (K-BAI), Korean version of Childhood Trauma Questionnaire (K-CTQ), Multi-dimensional Scale of Perceived Social Support (MSPSS), Korean Version of Connor-Davidson Resilience Scale (K-CD-RISC), and World Health Organization Quality of Life Assessment Instrument Brief Form (WHOQOL-BREF) were used to evaluate the psychosocial factors. Results : TThe overlap group had a significantly higher K-BDI-II score (F=11.09, p<0.001) and K-BAI score (F=8.93, p<0.001) compared to other groups. In childhood trauma, the IBS patients had a difference in emotional neglect (F=2.54, p=0.04) than the FD patients. The QoL of FGID patients had a negative correlation with depression (r=-0.196, p<0.01), anxiety (r=-0.235, p<0.01), and childhood trauma (r=-0.222, p<0.01), and a positive correlation with social support (r=0.512, p<0.01) and resilience (r=0.581, p<0.01). Conclusions : Overlap group had a higher level of depression and anxiety, and the IBS patient group had a higher level of emotional neglect than the FD patient group in terms of childhood trauma.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.5
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• pp.1-12
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• 2009

The purpose of this research was to propose policy directions for the design and construction of nature-friendly park facilities (PF) in national parks. In order to do that, nature-friendliness evaluation indicators(NEIs) used in green building rating systems and related articles were reviewed. After the initial literature review was complete, NEIs for park facilities based on location, design, construction, operation, and management sectors were developed. Data was obtained through a questionnaire completed by 79 managers at 19 national parks in Korea in 2008. The answers were analyzed using descriptive statistical methods, a t-test, a multi-dimensional analysis, and a factor analysis. This research found that: 1) The results indicated that based on relative weight calculation, the location condition was evaluated as the most important; 2) The evaluation results regarding the degree of nature-friendliness of park facilities showed that location condition was ranked higher than design and construction--in addition, the evaluated values of indicators related to energy efficiency were ranked the lowest; 3) the level of nature-friendliness of shelter was given the highest level, but resting facility was the lowest level; 4) Overall, park facilities at Mt. Seorak, Mt. Odae, and Taean Coast national parks showed high levels of nature-friendliness. But park facilities at Mt. Gyeongju and Mt. Songni national parks showed low levels of nature-friendliness. The results of this research shall contribute to the establishment of tailor-made management policies, the development of detailed guidelines for increased energy efficiency and visitor satisfaction, and the preservation of ecosystems and natural resources in Korea's national parks.

• Fire Science and Engineering
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• v.24 no.5
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• pp.32-38
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• 2010

Multi-dimensional fire dynamics were studied numerically with the change in ventilation conditions in a full-scale ISO 9705 room. Fire Dynamic Simulator (FDS) was used for the identical conditions conducted in previous experiments. Flow rate and doorway width were changed to create over-ventilated fire (OVF) and under-ventilated fire (UVF). From the numerical simulation, it was found that the internal flow pattern rotated in the opposite direction for the UVF relative to the OVF so that a portion of products recirculated to the inside of compartment. Significant change in flow pattern with ventilation conditions may affect changes in the complex process of CO and soot formation inside the compartment due to increase in the residence time of high-temperature products. The fire behavior in the UVF created complex 3D characteristics of species distribution as well as thermal and flow structures. In particular, additional burning near the side wall inside the compartment significantly affected the flow pattern and CO production. The distribution of CO inside the compartment was explained with 3D $O_2$ distribution and flow patterns. It was observed that gas sampling at local positions in the upper layer were insufficient to completely characterize the internal structure of the compartment fire.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.113-125
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• 2015

Information Security Incidents that have recently happen rapidly spread and the scale of that incidents' damage is large. In addition, as it proceeds to the era of converged industry in the future environment and the virtual cyber world expands to the physical world, new types of security threats have occurred. Now, it is time to supply security professionals who have a multi-dimensional security capabilities that can manage the strategies of technological security and physical security from the management point of view, rather than the ones who primarily focus on the traditional technologic-centered strategies to solve new types of security threats. In conclusion, in this paper we try to produce the curriculum of information security featured in the occupational classification system and analyze the subjects that are additionally required for those who move to other occupations to cultivate security professionals who suited to the converged-industrial environment. It is expected that multi-dimensional security professionals who suited to the converged-industrial environment will be cultivated by harmoniously integrating information security subjects from technological and business/managerial perspectives, and education training courses will be developed that effectively provide core knowledges per occupational classification when people moves to other occupations in the areas of information security.