• Korean Journal of Remote Sensing
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• v.14 no.2
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• pp.117-128
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• 1998

Topex/Poseidon satellite, launched in Auguest 1992, has provided more 5 years of very good quality data. Efficient improvements, either about instrumental accuracy or about sea level data correction, have been made so that Topex/Poseidon has become presently a wonderful tool for many researchers. The first mission data of 73 cycles, September 1992 - August 1994, was used to our study in order to know characteristics of environmental correction factors in the Amsterdam-Crozet-Kerguelen region of the South Indian Ocean. According to standard procedures as defined under user handbook for sea surface height data processes, then we have chosen cycles 43 as the cycle of reference because this cycle has provided the completed data for measurement points and has presented the exacted position of ground track compared to another cycles. It was computed variations of various factors for correction in ascending ground track 103(Amsterdam-Kerguelen continental plateau) and descending ground track170 (Crozet basin). Here the variations of ionosphere, dry troposphere, humid troposphere, electromagnetic bias, elastic tide and loading tide were generally very smaller as a few of cm, but the variations of oceanic tide(30-35cm) and inverted barometer(15-30cm) were higher than another factors. For the correction of ocean tide, our model(CEFMO: Code d' Elements Finis pour la Maree Oceanique) - This is hydrodynamic model that is very well applicated in all oceanic situations - was used because this model has especially good solution in the coastal and island area as the open sea area. Conclusionally, it should be understood that the variation of ocean free surface is mainly under the influence of tides(>80-90%) in the Amsterdam - Crozet- Kerguelen region of the South Indian Ocean.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.315-322
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• 2021

This study analyzes the Required Safe Egress Time (RSET), in the event of a fire at a welfare center for the disabled, using the emergency passage according to the floor arrangement of users to evaluate the safety and the difference in RSET for each emergency passage using the Pathfinder simulation program to suggest an efficient evacuation method. As a result of RSET, it was found that there is no problem in evacuation safety for the current state of the facility's personnel allocation by satisfying the standard RSET in case of fire, and evacuation can be completed safely by evacuating through stairs rather than using elevators if possible. It is necessary for employees to be provided sufficient education and training in advance so that they can evacuate effectively with the disabled in case of fire. This study gives significance in saving many precious lives and safely evacuate in case of fire as evacuation routes were secured through the design, construction and operation of facilities for the disabled and the RSET was shortened through regular evacuation practices. It is necessary to discuss the further RSET studies based on the automatic fire shutters open or not when a fire occurs at a specific location following the installation of automatic fire shutter at the entrance of each floor of the facilities.

• The Journal of the Acoustical Society of Korea
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• v.40 no.5
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• pp.523-529
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• 2021

In this paper, we designed and developed an Emotional Speech Synthesis Markup Language (SSML) processor. Multi-speaker emotional speech synthesis technology that can express multiple voice colors and emotional expressions have been developed, and we designed Emotional SSML by extending SSML for multiple voice colors and emotional expressions. The Emotional SSML processor has a graphic user interface and consists of following four components. First, a multi-speaker emotional text editor that can easily mark specific voice colors and emotions on desired positions. Second, an Emotional SSML document generator that creates an Emotional SSML document automatically from the result of the multi-speaker emotional text editor. Third, an Emotional SSML parser that parses the Emotional SSML document. Last, a sequencer to control a multi-speaker and emotional Text-to-Speech (TTS) engine based on the result of the Emotional SSML parser. Based on SSML which is a programming language and platform independent open standard, the Emotional SSML processor can easily integrate with various speech synthesis engines and facilitates the development of multi-speaker emotional text-to-speech applications.

• The Korean Journal of Archival Studies
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• no.14
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• pp.191-240
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• 2006

For long-term preservation of electronic records, the information on the whole processes of management from the time of creation of the electronic information should be captured and managed together. Such information is supported by preservation metadata thus the implementation of preservation metadata is important for preservation of electronic records maintaining the record-ness. Preservation metadata is the information that supports the process of digital preservation and functions th maintain long-term viability, renderability, understandability, authenticity and identity of digital resources. Preservation metadata should be developed applying the international standard Reference Model for an Open Archival Information System(OAIS) to have international interoperability for exchange and reuse. Initial international preservation metadata schemas were developed standardizing the OAIS Reference Model. But the preservation metadata schema of Victorian Electronic Records Strategy(VERS) and recently published Data Dictionary of PREMIS Working Group were developed in advanced types that are different from the existing framework. Those were advanced th practical ones from conceptual one. Comparing these two cases, proposed the elements of integral preservation metadata for long-term preservation of electronic records. This thesis has the significance that it has suggested the direction for future development of the elements of preservation metadata by setting the past discussions related to preservation metadata in order and proposing integral preservation metadata elements for long-term preservation of electronic records.

• Translational and Clinical Pharmacology
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• v.25 no.3
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• pp.153-156
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• 2017

UI14SDF100CW is a chewable tablet of sildenafil citrate, which was developed to improve compliance through convenience of administration. The purpose of this study was to compare the pharmacokinetic (PK) properties of sildenafil citrate chewable tablets (UI14SDF100CW) and conventional sildenafil citrate film-coated tablets ($Viagra^{(R)}$, Pfizer). A randomized, open-label, single dose, two-treatment, two-period, two-way crossover study was conducted in 60 healthy male volunteers. In each period, the subjects received a single oral dose of UI14SDF100CW or $Viagra^{(R)}$ (both tablets contain 140.45 mg of sildenafil citrate, which is equivalent to 100 mg of sildenafil). Serial blood samples were collected up to 24 h post-dose for PK analysis. The plasma concentration of sildenafil was determined using a validated HPLC-MS/MS assay. PK parameters of sildenafil were calculated using non-compartmental methods. The plasma concentration-time profiles of sildenafil in both formulations were similar. For UI14SDF100CW, the $C_{max}$ and $AUC_{last}$ of sildenafil were $1068.69{\pm}458.25$ (mean${\pm}$standard deviation) mg/L and $3580.59{\pm}1680.29h{\cdot}mg/L$, and the corresponding values for $Viagra^{(R)}$ were $1146.84{\pm}501.70mg/L$ and $3406.35{\pm}1452.31h{\cdot}mg/L$, respectively. The geometric mean ratios (90% confidence intervals) of UI14SDF100CW to $Viagra^{(R)}$ for $C_{max}$ and $AUC_{last}$ were 0.933 (0.853-1.021) and 1.034 (0.969-1.108), respectively, which met the bioequivalence criteria of Korean regulatory agency. In conclusion, UI14SDF100CW and $Viagra^{(R)}$ showed similar PK properties. Therefore, UI14SDF100CW can be an alternative to sildenafil for the treatment of erectile dysfunction, providing better compliance.

• The korean journal of orthodontics
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• v.52 no.1
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• pp.3-19
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• 2022

Objective: The purpose of this study was to investigate the accuracy of one-step automated orthodontic diagnosis of skeletodental discrepancies using a convolutional neural network (CNN) and lateral cephalogram images with different qualities from nationwide multi-hospitals. Methods: Among 2,174 lateral cephalograms, 1,993 cephalograms from two hospitals were used for training and internal test sets and 181 cephalograms from eight other hospitals were used for an external test set. They were divided into three classification groups according to anteroposterior skeletal discrepancies (Class I, II, and III), vertical skeletal discrepancies (normodivergent, hypodivergent, and hyperdivergent patterns), and vertical dental discrepancies (normal overbite, deep bite, and open bite) as a gold standard. Pre-trained DenseNet-169 was used as a CNN classifier model. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis, t-stochastic neighbor embedding (t-SNE), and gradient-weighted class activation mapping (Grad-CAM). Results: In the ROC analysis, the mean area under the curve and the mean accuracy of all classifications were high with both internal and external test sets (all, > 0.89 and > 0.80). In the t-SNE analysis, our model succeeded in creating good separation between three classification groups. Grad-CAM figures showed differences in the location and size of the focus areas between three classification groups in each diagnosis. Conclusions: Since the accuracy of our model was validated with both internal and external test sets, it shows the possible usefulness of a one-step automated orthodontic diagnosis tool using a CNN model. However, it still needs technical improvement in terms of classifying vertical dental discrepancies.

• Journal of Korean Foot and Ankle Society
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• v.26 no.2
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• pp.88-94
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• 2022

Purpose: This study was based on the Korean Foot and Ankle Society (KFAS) member survey and aimed to report the current trends in the epidemiology, diagnosis, and management of acute Achilles tendon rupture (AATR) over the past few decades. Materials and Methods: A web-based questionnaire containing 34 questions was sent to all KFAS members in October 2021. The questions were mainly related to the clinical experience and preferred management of patients with AATR. Answers with a prevalence ≥50% of the respondents were considered a tendency. Results: Seventy-one (12.9%) of the 550 members responded to the survey. The male sex ratio in AATR was answered mean 78%, and the most common age groups were 30~40 years (n=49; 69.0%), and 40~50 years (n=37; 52.1%), in that order. The most common seasons for the occurrence of AATR were spring (37 cases; 52.1%) and autumn (27 cases; 38.0%). Also, sports-related rupture had an average occurrence of 76.2%. The most important clinical factor to determine the type of treatment was the history of previous injuries, and 75.9% of respondents started conservative treatment in the 2010s. The most preferred protocol of conservative treatment was an orthosis capable of ankle range of motion after casting (68.5%), and 53.7% 'satisfied' and 1.9% 'very satisfied' with conservative treatment. The most preferred surgical method was open repair (80.3%), and the Krackow method (60.6%), and 49.3% of treated patients responded 'satisfied' and 45.1% 'very satisfied' with this treatment. Conclusion: This study gives updated information concerning the current trend of epidemiology, diagnosis, and treatment of AATR in Korea. Both consensus and variation in the approach to AATR were identified using this survey study. This study may raise the awareness of various possible approaches toward AATR and should be used to further establish a standard protocol for the management of this injury.

• Journal of IKEEE
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• v.26 no.2
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• pp.160-168
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• 2022

In this paper, we propose a 3D mesh reconstruction method from a single image using deep learning and a sphere shape transformation method. The proposed method has the following originality that is different from the existing method. First, the position of the vertex of the sphere is modified to be very similar to the 3D point cloud of an object through a deep learning network, unlike the existing method of building edges or faces by connecting nearby points. Because 3D point cloud is used, less memory is required and faster operation is possible because only addition operation is performed between offset value at the vertices of the sphere. Second, the 3D mesh is reconstructed by covering the surface information of the sphere on the modified vertices. Even when the distance between the points of the 3D point cloud created by correcting the position of the vertices of the sphere is not constant, it already has the face information of the sphere called face information of the sphere, which indicates whether the points are connected or not, thereby preventing simplification or loss of expression. can do. In order to evaluate the objective reliability of the proposed method, the experiment was conducted in the same way as in the comparative papers using the ShapeNet dataset, which is an open standard dataset. As a result, the IoU value of the method proposed in this paper was 0.581, and the chamfer distance value was It was calculated as 0.212. The higher the IoU value and the lower the chamfer distance value, the better the results. Therefore, the efficiency of the 3D mesh reconstruction was demonstrated compared to the methods published in other papers.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.243-254
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• 2021

This study analyzed the abuse of authority among the types of power abuse in educational institutions in order to create an educational climate in which democracy and equality are respected and to create a better education and an equal society. First, we analyzed the concept and cause of power abuse through literature research, and then explored the cases of members of educational institutions according to the type of abuse of authority through qualitative research to derive implications. As a result, abuse of authority within educational institutions were found as follows: additional work without consultation, transfer of duties, coercive and unilateral instructions using status, instructions violating laws and guidelines, private instructions for personal convenience, specific institutions, personal rights, and privacy. Based on this analysis, a policy was proposed. First, an agreed standard for abuse of authority, an institutional mechanism to mediate conflicts and complaints over abuse of authority, mandatory installation and legislation of the best decision body, active and transparent disclosure of information, and a shift to open and listening administration are needed. Second, analyzing and seeking ways to reduce overuse of authority in educational institutions will be the cornerstone for leading education's democracy and equality by creating a culture of mutual respect and communication among members of the organization. Hope that follow-up studies will be carried out and that the Gap-jil in educational institutions will be reduced to create a better educational environment.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.1
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• pp.21-30
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• 2022

Objectives: The purpose of this study is to suggest an optimal method by comparing the analysis methods of work environment measurement datasets including left-censored data where one or more measurements are below the limit of detection (LOD). Methods: A computer program was used to generate left-censored datasets for various combinations of censoring rate (1% to 90%) and sample size (30 to 300). For the analysis of the censored data, the simple substitution method (LOD/2), β-substitution method, maximum likelihood estimation (MLE) method, Bayesian method, and regression on order statistics (ROS)were all compared. Each method was used to estimate four parameters of the log-normal distribution: (1) geometric mean (GM), (2) geometric standard deviation (GSD), (3) 95th percentile (X95), and (4) arithmetic mean (AM) for the censored dataset. The performance of each method was evaluated using relative bias and relative root mean squared error (rMSE). Results: In the case of the largest sample size (n=300), when the censoring rate was less than 40%, the relative bias and rMSE were small for all five methods. When the censoring rate was large (70%, 90%), the simple substitution method was inappropriate because the relative bias was the largest, regardless of the sample size. When the sample size was small and the censoring rate was large, the Bayesian method, the β-substitution method, and the MLE method showed the smallest relative bias. Conclusions: The accuracy and precision of all methods tended to increase as the sample size was larger and the censoring rate was smaller. The simple substitution method was inappropriate when the censoring rate was high, and the β-substitution method, MLE method, and Bayesian method can be widely applied.