• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.153-154
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• 2013

In this study, we used the program of three-dimensional analysis of fire for analyzing visibility of smoke flow and temperature of the accommodation area what is required for the analysis of survival of the crew. In particular, I would like to propose a method for reducing the flow rate performance in order to reduce the suffocation from the smoke of the majority of personal injury. Existing vessels are designed to close the fire door automatically when the fire alarm issued. When there is no crew that dared to escape, it can delay the spread of fire and smoke flow which is determined to be very useful to improve the survival rate of the crew. However, it can be fatal to the crew whose rooms are located on the inside of the fire door that has not completed the evacuation. In this study, we check the smoke flow rate and rate of temperature rise when crew open the fire door what is closed due to fire and compare to the structure of the blocking layer.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.3
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• pp.47-56
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• 2005

This paper presents a performance improvement result with the aid of closed feedback controller loop to a micro gyroscope. The dynamic model of a micro gyroscope is derived and a conventional proportional and derivative controller is designed via frequency domain analysis. The proposed control loop is implemented using several analog devices and applied to the SNU-Bosch MEMS gyroscope to check its performance improvement in real environment. The experiments demonstrated the performance improvement with the proposed feedback control loop. The bandwidth, linearity, and bias stability are improved to 78 Hz, 0.504 %, and 0.043 deg/sec, respectively, from 35 Hz, 2.07 %, and 0.066 deg/sec of open loop system.

• Journal of Korean Society of Transportation
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• v.31 no.1
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• pp.77-86
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• 2013

This paper focuses on the development of analytical models for estimating the changes in saturation flow rates (SFR) at the stop-lines of a signalized intersection due to the existence of nearby work-zones, and thereby calculating the prevailing capacity values for specific lane groups. Major changes were incorporated in the logics of previous models and significant revisions have been made to secure the accuracy and simplicity. Furthermore, much attention was paid to model validation by making comparisons to both extensive simulation results and empirical data from various sites. It was found that SFRs are highly sensitive to the location of work-zones, the distance to each work-zone from the stop-line of a concerned approach, the number of lanes open and closed, and the effective green time. Using such geometric and operating conditions that constitute work-zone environment, the proposed models successfully estimated SFR values with a miniscule margin of error.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.187-196
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• 2019

This experimental study examines whether paralinguistic behavior is a deception cue in an interrogation. 92 college students participated in an experiment and were randomly assigned to two conditions. Participant were then asked to take the money or not to take the money according to the condition they were assigned. Then participants had a face-to-face interrogation. During the interrogation, participants' paralinguistic behavior was recorded and used for coding and analysis. Results reveal that participants' paralinguistic behaviors differ depending on question types and deceptive paralinguistic cues are speech speed and fillers for the closed critical question and response latency, response length, and fillers for the open critical question. These findings implicate that part of paralinguistic behavior could be a deception cue and thus these cues might be applicable to deception detection in real world criminal investigations.

• Journal of Climate Change Research
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• v.7 no.4
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• pp.397-405
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• 2016

For better understand of the soil respiration characteristic in ecosystem, it is necessary to accurately determine the daily, monthly and seasonal $CO_2$ flux related to various environmental factors. In general, soil respiration is being measured on a sunny day. But soil respiration is known to be affected by soil temperature and soil moisture content. In case of forestry, changes in soil moisture content are entirely dependent on rainfall. If we calculated the monthly soil respiration measured based on sunny days data only, it could be a factor that loses credibility soil respiration. On this study, we measured soil respiration on Pinus koraiensis plantation at Mt. Taehwa of Gwangju, Gyeonggi-do on sunny and rainy days in 2012, using Automatic Open-Closed Chamber system (AOCC) and portable $CO_2$ analyzer (GMP343). Then we computed the regression equations using sunny days data, precipitation less than 10 mm data, and precipitation over 10 mm data. At first, there were no significant differences in observed data and computed data. But less than 10 mm precipitation, computed data was 26.5% lower than observed data. Precipitation over 10 mm, on the other hand, the former was 29.3% higher than the latter. In each case, it showed significant differences between observed and computed data (p<0.05). So if we computed regression equation using soil respiration measured sunny days only, about 30% of annual soil respiration could be overestimated. Through further study, we suggest the subdivision and computation of regression equation on the basis of the rainfall intensity.

• Knowledge Management Research
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• v.20 no.3
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• pp.155-171
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• 2019

In the entertainment industry which has great uncertainty, it is essential to predict public preference first. Thanks to various mass media channels such as cable TV and internet-based streaming services, the reality audition program has been getting big attention every day and it is being used as a new window to new entertainers' debut. This phenomenon means that it is changing from a closed selection process to an open selection process, which delegates selection rights to the public. This is characterized by the popularity of the public being reflected in the selection process. Therefore, this study aims to implement a machine learning model which predicts the winner of , which has recently been popular in South Korea. By doing so, this study is to extend the research method in the cultural industry and to suggest practical implications. We collected the data of winners from the 1st, 2nd, and 3rd seasons of the Produce 101 and implemented the predictive model through the machine learning method with the accumulated data. We tried to develop the best predictive model that can predict winners of by using four machine learning methods such as Random Forest, Decision Tree, Support Vector Machine (SVM), and Neural Network. This study found that the audience voting and the amount of internet news articles on each participant were the main variables for predicting the winner and extended the discussion by analyzing the precision of prediction.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.117-135
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• 2019

Data journals and data papers have grown and considered an important scholarly practice in the paradigm of open science in the context of data sharing and data reuse. This study investigates a total of 713 data papers published in Scientific Data in terms of author, citation, and subject areas. The findings of the study show that the subject areas of core authors are found as the areas of Biotechnology and Physics. An average number of co-authors is 12 and the patterns of co-authorship are recognized as several closed sub-networks. In terms of citation status, the subject areas of cited publications are highly similar to the areas of data paper authors. However, the citation analysis indicates that there are considerable citations on the journals specialized on methodology. The network with authors' keywords identifies more detailed areas such as marine ecology, cancer, genome, database, and temperature. This result indicates that biology oriented-subjects are primary areas in the journal although Scientific Data is categorized in multidisciplinary science in Web of Science database.

• Journal of Veterinary Clinics
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• v.39 no.4
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• pp.156-161
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• 2022

The objective of the present study was to assess the prevalence, occurrence pattern, and clinical outcomes of transfixation pinning and casting (TPC) for fractures in Korean native calves, and to identify the advantages of the procedure. The study investigated 52 cases of bone fractures documented from January 2017 to December 2020. Hindlimb fractures (72%) were the most common in bone fractures (n = 50). The distribution of fractures was highest in the tibia (n = 15), followed by the metatarsal (n = 12), femur (n = 9), radius/ulna (n = 8), metacarpal (n = 3), humerus (n = 3), mandible (n = 1), and caudal vertebrae (n = 1). All cases were diagnosed via radiographic evaluation. Closed fractures (86%) were the most common, followed by open fractures (14%). Surgery was performed on 34 calves using intramedullary pin (IM pin), TPC, cross pin, flexible wire (F-wire), and/or plate fixation. The rest of the calves were treated with external coaptation (n = 12) or were not treated (n = 6). Subsequently, 24 calves with follow-up records were evaluated in the bone fracture cases (n = 50). Bone union was observed in 15 (62%) calves; 3 (12%) calves showed non-union; 4 (16%) calves were dead after surgery; and 2 (8%) calves were euthanized at the owner's request. Among the 24 follow-up surgery cases, the most successful cases were tibia fractures (75%) surgically treated using TPC and/or IM pin. These findings suggest that TPC surgery is effective in the management of fractures in Korean native calves.

• Physical Therapy Rehabilitation Science
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• v.13 no.1
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• pp.8-17
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• 2024

Objective: This study aims to explore the relationship between isokinetic strength training and the enhancement of physical function in older adults. It also evaluates the effectiveness of isokinetic strength training equipment. Method: This study randomly divided twenty healthy adults into two groups.The experimental group engaged in isokinetic strength training for 30 minutes, three times a week, over a four-week period. In contrast, the control group did not participate in any exercise regimen. We assessed several outcome measures including physical functions (sit-to-stand test, flexibility, Timed Up and Go test), grip strength, balance, thigh circumference, the Korean version of the Patient Health Questionnaire-9 (PHQ-9), and the Korean version of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Additionally, the experimental group's self-perceived improvement in lower limb condition was evaluated using the Global Rating of Change (GROC) scale. Results: The experimental group showed significant improvements compared to the control group in various aspects: reduced sit-to-stand test duration (7.00±2.05 seconds), increased flexibility (4.69±3.90 cm), improved grip strength (1.54±1.74 kg), increased thigh circumference (left: 1.29±1.19 cm, right: 1.19±1.27 cm), enhanced Timed Up and Go test performance (-1.47±0.86 seconds), better balance (eyes open stance: -8.08±4.03 cm, eyes closed stance: -0.27±0.13 cm/s), and a decrease in depression severity (-0.15±1.51 points). Furthermore, significant increases were observed in the experimental group's maximal isokinetic strength at 90°/s for both flexion (19.62±7.03 Nm) and extension (19.60±14.65 Nm) over the study period. Conclusion: The findings suggest that isokinetic strength training equipment can significantly enhance physical functions in seniors when incorporated into an exercise regimen.

• The Transactions of the Korea Information Processing Society
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• v.4 no.7
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• pp.1804-1820
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• 1997

In this paper, an efficient call control procedure is presented for next generation wireless ATM networks and its performance is mathematically analyzed using the open queueing network. This procedure is based on a new scheme called as the cell clustering. When we use the cell clustering scheme, at the time that a mobile connection is admitted to the network, a virtual cell is constructed by choosing a group of neighboring base stations to which the call may probabilistically hand over and by assigning to the call a collection of virtual paths between the base stations. Within a microcell/picocell environment, it is seen that the cell clustering can support effectively a very high rate of handovers, provides very high system capacity, and guarantees a high degree of frequency reuse over the same geographical region without requiring the intervention of the network call control processor each time a handover occurs. But since mobiles, once admitted, are free to roam within the virtual cell, overload condition occurs in which the number of calls to be handled by one base station to exceed that cell site's capacity of radio channel. When an overload condition happens, the quality of service is abruptly degraded. We refer to this as the overload state and in order to quantify the degree of degradation we define two metrics, the probability of overload and the normalized average time spent in the overload state. By using the open network queueing model, we derive closed form expressions for the maximum number of calls that can be admitted into the virtual cell such that the two defined metrics are used as the acceptance criteria for call admission control.