• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.802-816
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• 2021

Purpose: In this paper, we propose a direction of future research and development to be carried out in the passive tracking field by deriving a white space with enhanced search formula of patent analysis. Method: In this paper, we derive a white space by identifying the direction and the flow of technology change and by matrixing the object and solution through extensive patent search with enhanced search formula and analysis in the field of passive tracking technology. Result: By the proposed scheme, 'multi-target positioning and tracking' and '3D positioning technology' using artificial intelligence, adaptive/hybrid positioning technology, and radar/antenna were derived as white space technologies and confirmed with absence of any services or products. Conclusion: The derived white space technologies from this paper are the areas where patent applications are not active and there are not many prior patents, thus it is necessary to secure the rights through more active R&D and patent application activities.

• Journal of Broadcast Engineering
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• v.28 no.2
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• pp.194-212
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• 2023

The MPEG immersive video (MIV) coding standard achieved high compression efficiency by removing inter-view redundancy and merging the residuals of immersive video which consists of multiple texture (color) and geometry (depth) pairs. Grouping of views that represent similar spaces enables quality improvement and implementation of selective streaming, but this has not been actively discussed recently. This paper introduces an implementation of group-based encoding into the recent version of MIV reference software, provides experimental results on optimal views and videos per group, and proposes a decision method for optimal number of videos for global immersive video representation by using portion of residual videos.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.234-240
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• 2022

This paper proposes a customized AI exercise recommendation service for balancing the relative amount of exercise according to the working environment by each occupation. WISDM database is collected by using acceleration and gyro sensors, and is a dataset that classifies physical activities into 18 categories. Our system recommends a adaptive exercise using the analyzed activity type after classifying 18 physical activities into 3 physical activities types such as whole body, upper body and lower body. 1 Dimensional convolutional neural network is used for classifying a physical activity in this paper. Proposed model is composed of a convolution blocks in which 1D convolution layers with a various sized kernel are connected in parallel. Convolution blocks can extract a detailed local features of input pattern effectively that can be extracted from deep neural network models, as applying multi 1D convolution layers to input pattern. To evaluate performance of the proposed neural network model, as a result of comparing the previous recurrent neural network, our method showed a remarkable 98.4% accuracy.

• Journal of the Society of Naval Architects of Korea
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• v.60 no.1
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• pp.31-37
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• 2023

In the present study, a method of performing cavitation erosion test directly on the anodized surface of the rudder model is proposed, not applying ink or paint on its surface. An image processing technique is newly developed to quantitatively evaluate the erosion damages on the rudder model surface after erosion test. The preprocessing saturation image, image smoothing, adaptive hysteresis thresholding and eroded area detection algorithms are in the image processing program. The rudder cavitation erosion tests are conducted in the rudder deflection angle range of 0° to -4°, which is used to maintain a straight course at the highest speed of the targeted navy ship. In the case of the conventional flat-type full-spade rudder currently being used in the target ship, surface erosion can occur on the model rudder surface in the above rudder deflection angle range. The bubble type of cavitation occurs on rudder surface, which is estimated to be the main reason of erosion damage on the rudder surface.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.606-608
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• 2011

무선 센서 네트워크는 특정지역에 센서 노드를 설치하여 주변 정보 또는 특정 목적의 데이터를 수집하고, 그 정보를 수집하는 싱크(Sink)로 구성되어 있다. 무선 센서 네트워크의 수명은 망을 구성하는 센서 노드의 베터리 소비에 따라 수명이 결정 되고 하나의 노드가 죽기 시작하면서부터 급격하게 센서 노드의 베터리 소비가 커져 빠르게 죽는다. 무선 센서 네트워크를 구성하는 센서노드는 라우팅, 센싱을 수행하기 때문에 베터리 소비에 많은 부담을 가지고 있다. 본 논문은 무선 센서 네트워크의 대표적 클러스터링 기반 라우팅 기법인 LEACH(Low - Energy Adaptive Clustering Hierarchy)프로토콜에 SVM(Support Vector Machine)을 적용하여 센서노드의 균형적인 베터리 소비로 망을 효율적으로 관리하고 망의 수명을 개선 할 수 있는 방법을 제안 한다. 이러한 센서 노드의 균형적인 베터리 소비로 무선센서 네트워크의 수명을 개선 한다. 실험결과 기존의 LEACH 프로토콜보다 우수한 성능을 보인다.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.203-212
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• 2022

The purpose of this study is to investigate the nature of the experience of Emotion Focused Psychology Coaching, and what kind of changes happened for the participants through the experience. For this, in-depth interviews were conducted with four participants who had experienced five sessions of Emotion Focused Psychology Coaching. The interviews were analyzed using the phenomenological analysis method of Colaizzi. Emotion Focused Psychology Coaching is a new coaching psychology model that combines Greenberg's Emotion-Focused Therapy (EFT) and the ICF Core Competencies. The findings show that prior to the experience of Emotion Focused Psychology Coaching, the participants had avoided or suppressed their emotions, which in turn prevented them from exploring effective interpersonal relationships or alternatives in their actions. On the other hand, after they experienced Emotion Focused Psychology Coaching, their perception of emotions, emotion regulation, emotional expression, empathy for the other, etc. were developed in adaptive ways and the participants could present effective alternatives.

• Geomechanics and Engineering
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• v.33 no.3
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• pp.279-289
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• 2023

Brittleness index (BI) is an important property of rocks because it is a good index to predict rockburst. Due to its importance, several empirical and soft computing (SC) models have been proposed in the literature based on the punch penetration test (PPT) results. These models are very important as there is no clear-cut experimental means for measuring BI asides the PPT which is very costly and time consuming to perform. This study used a novel Multivariate Adaptive regression spline (MARS), M5P, and white-box ANN to predict the BI of rocks using the available data in the literature for an improved BI prediction. The rock density, uniaxial compressive strength (σ_c) and tensile strength (σ_t) were used as the input parameters into the models while the BI was the targeted output. The models were implemented in the MATLAB software. The results of the proposed models were compared with those from existing multilinear regression, linear and nonlinear particle swarm optimization (PSO) and genetic algorithm (GA) based models using similar datasets. The coefficient of determination (R²), adjusted R² (Adj R²), root-mean squared error (RMSE) and mean absolute percentage error (MAPE) were the indices used for the comparison. The outcomes of the comparison revealed that the proposed ANN and MARS models performed better than the other models with R² and Adj R² values above 0.9 and least error values while the M5P gave similar performance to those of the existing models. Weight partitioning method was also used to examine the percentage contribution of model predictors to the predicted BI and tensile strength was found to have the highest influence on the predicted BI.

• Geomechanics and Engineering
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• v.31 no.2
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• pp.129-147
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• 2022

The properties of soil are naturally highly variable and thus, to ensure proper safety and reliability, we need to test a large number of samples across the length and depth. In pile foundations, conducting field tests are highly expensive and the traditional empirical relations too have been proven to be poor in performance. The study proposes a state-of-art Particle Swarm Optimization (PSO) hybridized Artificial Neural Network (ANN), Extreme Learning Machine (ELM) and Adaptive Neuro Fuzzy Inference System (ANFIS); and comparative analysis of metaheuristic models (ANN-PSO, ELM-PSO, ANFIS-PSO) for prediction of bearing capacity of pile foundation trained and tested on dataset of nearly 300 dynamic pile tests from the literature. A novel ensemble model of three hybrid models is constructed to combine and enhance the predictions of the individual models effectively. The authenticity of the dataset is confirmed using descriptive statistics, correlation matrix and sensitivity analysis. Ram weight and diameter of pile are found to be most influential input parameter. The comparative analysis reveals that ANFIS-PSO is the best performing model in testing phase (R² = 0.85, RMSE = 0.01) while ELM-PSO performs best in training phase (R² = 0.88, RMSE = 0.08); while the ensemble provided overall best performance based on the rank score. The performance of ANN-PSO is least satisfactory compared to the other two models. The findings were confirmed using Taylor diagram, error matrix and uncertainty analysis. Based on the results ELM-PSO and ANFIS-PSO is proposed to be used for the prediction of bearing capacity of piles and ensemble learning method of joining the outputs of individual models should be encouraged. The study possesses the potential to assist geotechnical engineers in the design phase of civil engineering projects.

• Korean Journal of Culture and Social Issue
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• v.21 no.1
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• pp.21-43
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• 2015

The purpose of this study was to examine cultural differences and related difficulties which KoreanChinese women in Korean society experience at work and the different styles of their cultural adaptation. For this, semi-structured interviews consisting of questions related to these issues were conducted on 17 Korean-Chinese women living in the metropolitan area (average age: 34, SD = 9.25, average stay in Korea = 4 years, SD = 2.24). After analysis of qualitative data based on Giorgi's(1985) method of phenomenological analysis, a total of 225 significant statements were found and those were grouped into 23 subcategories, which were then grouped again into 9 categories. Cultural differences and related difficulties appeared in identity, verbal communication, political and economic aspects, and relational and sexual affairs. It was also revealed that Korean-Chinese women adapted in the three ways of Active, Passive, and Avoident. Lastly, various social actions that can aid the adaptation of Korean-Chinese women to Korea based on these results were discussed.

• Mood & Emotion
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• v.9 no.2
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• pp.78-86
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• 2011

Objectives : The aim of this study was to investigate relationship between perceived stress level, cognitive emotion regulation (CER) strategy and hope in group with high depressive symptom and higher-level perceived stress (H-H) and group with high depressive symptom and lower-level perceived stress (H-L) in patients with depression. Method : A total of 85 patients (over score of 16 by Beck depression Inventory; BDI) were surveyed with Cognitive emotion regulation questionnaire (CERQ), Perceived stress scale (PSS), and The state hope scale (SHS). Mean scores of CERQ and SHS were compared between relatively higher perceived stress and lower perceived stress groups. Correlation analysis and multiple linear regression analyses were performed to identify the effect of BDI, PSS and CER strategy on SHS in two groups. Results : In ANOVA, the level of hope and maladaptive CERQ score proved to be significantly lower among the H-H group than among the H-L group, while adaptive CERQ scores were not. In Regression analysis, the effective CER strategy in SHS were 'Refocus on planning' in H-H group, while it was 'Acceptance' CER strategy in H-L group. The final regression model explained 36% of the variance of SHS in H-H group and explained 21% of SHS in H-L group. Conclusion : These findings suggest that 'Refocus on planning' and 'Acceptance' cognitive emotion strategy are helpful in promotion of state hope on depression. Especially, 'Refocus on planning' strategy is more effective in high depressive symptom and high-perceived stress level, while 'Acceptance' strategy help to promote hope in high depressive symptom and low-perceived stress level in patients with depression.