• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.1
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• pp.1-9
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• 2013

This paper propose a human action recognition method that uses bag-of-features (BoF) based on CS-LBP (center-symmetric local binary pattern) and a spatial pyramid in addition to the random forest classifier. To construct the BoF, an image divided into dense regular grids and extract from each patch. A code word which is a visual vocabulary, is formed by k-means clustering of a random subset of patches. For enhanced action discrimination, local BoF histogram from three subdivided levels of a spatial pyramid is estimated, and a weighted BoF histogram is generated by concatenating the local histograms. For action classification, a random forest, which is an ensemble of decision trees, is built to model the distribution of each action class. The random forest combined with the weighted BoF histogram is successfully applied to Standford Action 40 including various human action images, and its classification performance is better than that of other methods. Furthermore, the proposed method allows action recognition to be performed in near real-time.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.2
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• pp.313-320
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• 2010

In this study, kiwi fruit, which has various medical actions and excellent functionality, was used together with gruels for comparison and analysis of to compare and analyze the changes in physico-chemical quality of a kiwi fruit-gruel according to the amount of kiwi concentrate added to the gruel. Analysis on the sensual quality of kiwi fruit-gruel spread was done to indicate to it was executed to find out the merchandising potential of the preparation and to provide basic data for gruel commercialization. Increasing content of kiwi concentrate decreased the solid content and pH of kiwi fruit, and increased sweetness and viscosity. Significant changes in chromaticity to L(lightness) and a(redness), texture qualities of hardness and cohesiveness, gumminess, springiness, color, flavor, sourness, and sweetness were evident with increasing kiwi concentrate. Concerning overall acceptability and sensory evaluation, 20% softness samples were most preferred. The findings may lead to enhanced medical/nutritional activity and functionality of kiwi fruit-supplemented gruel. The more the kiwi concentrate was added to the gruel, solid content and pH of the kiwi fruit-grue decreased. The sweetness and viscosity of kiwi fruit-gruel increased. For chromaticity to L(lightness) and a(redness) of the gruel decreased and showed significant difference between sample groups. For texture, there were significant changes shown for hardness and cohesiveness the amount of kiwi concentrate added was different, increased There was a significant change between samples for gumminess. As for springiness, there was a significant change between samples. There were significant difference between each sample for color, flavor, sourness, sweetness. For softness, overall-acceptability and sensory evalution 20% group was most preferred based on this study, from the physico-chemical and sensual perspective, 20% group is highly recommended for adding kiwi concentrate into gruel. In conclusion, this study is meaningful as it enhanced the functionality and quality of a gruel by combining kiwi fruit with various medical action and excellent functionality, with Kiwi Fruit and presented a basic material for creating a kiwi concentrate combined gruels.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.7
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• pp.3191-3194
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• 2014

Adenocarcinoma of lung has high incidence and a poor prognosis, woith chemotherapy as the main therapeutic tool, most commonly with cisplatin. However, chemotherapy resistance develops in the majority of patients during clinic treatment. Mechanisms of resistance are complex and still unclear. Although annexin play important roles in various tumor resistance mechanisms, their actions in cisplatin-resistant lung adenocarcinoma remain unclear. Preliminary studies by our group found that in cisplatin-resistant lung cancer A549 cells and lung adenocarcinoma tissues, both mRNA and protein expression of annexins A1, A2 and A3 is increased. Using a library of annexin A1, A2 and A3 targeting combined molecules already established by ourselves we found that specific targeting decreased cisplatin-resistance. Taken together, the underlined effects of annexins A1, A2 and A3 on drug resistance and suggest molecular mechanisms in cisplatin-resistant A549 cells both in vivo and in vitro. Furthermore, the study points to improved research on occurrence and development of lung adenocarcinoma, with provision of effective targets and programmes for lung adenocarcinoma therapy in the clinic.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.286-295
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• 2008

The purpose of this paper is to demonstrate the relationships between brand satisfaction and store loyalty by examining the role of brand trust, store satisfaction and store trust in determining store loyalty in retail service firms. The results of the study are as follows: First, in case of relation exchange consumers, which are characterized by cooperative actions and mutual adjustment of both buyer and seller, brand satisfaction has a positive influence on brand trust, brand trust has a positive influence on store trust, and then store trust a strong positive influence on store loyalty. That is, store loyalty can be build up by combined benefits both brand trust and store trust in relation exchange consumers. Second, in another case of transaction exchange consumer, which are discrete buyer-seller exchange of commodity or performance with minimal personal relationships and no anticipation or obligation of future exchange, brand satisfaction has a positive influence on store satisfaction, and then store satisfaction has a direct influence on store loyalty. So, retailers have to developing strong brands which could help ensure both satisfaction and loyalty.

• Korean System Dynamics Review
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• v.16 no.3
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• pp.5-29
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• 2015

The importance of the concept of safety culture has increased in the security of high-risk facility after Chernobyl accident in 1986. This paper elaborated the concept of safety culture and its main factors by Causal Loop Diagram. Due to the decline of safety culture, the occurrence of incidents and accidents require more and more corrective actions to the members of high-risk facilities and thereby increasing their workloads. Employees who must complete the task within the given time have to have time pressures and don't comply with the rules and procedures. Also, a schedule pressure is a big stress for employees, causing mistakes in precision work. In order to improve these problems, CLD of the safety culture in this paper suggests hiring more workers, re-allocation of given workloads and strengthen the learning, communication capabilities and safety leadership. In addition, the two real accident cases were analyzed to test the feasibility of the System Dynamic simulation model through the process of structuring the fault trees on the stationary black out accident in Kori unit 1 in South Korea and Kleen Energy power station explosion in US. The simulation results show that the various safety factors cause the serious accident combined with mechanical failure and safety culture will reduce the possibility of the accidents in these high-risk organizations. This simulation model can contribute to analyzing the impact of the organizational and human factors of safety culture and can provide the alternatives in high-risk facilities.

• Smart Structures and Systems
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• v.25 no.1
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• pp.111-122
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• 2020

Researchers up to date have introduced several Structural Health Monitoring (SHM) techniques with varying advantages and drawbacks for each. Satellite positioning systems (GPS, GLONASS and GALILEO) based techniques proved to be promising, especially for high natural period structures. Particularly, the GPS has proved sufficient performance and reasonable accuracy in tracking real time dynamic displacements of flexible structures independent of atmospheric conditions, temperature variations and visibility of the monitored object. Tall structures are particularly sensitive to oscillations produced by different sources of dynamic actions; such as typhoons. Wind forces induce in the structure both longitudinal and perpendicular displacements with respect to the wind direction, resulting in torsional effects, which are usually more complex to be detected. To efficiently track the horizontal rotations of the in-plane sections of such flexible structures, two main issues have to be considered: a suitable sensor topology (i.e., location, installation, and combination of sensors), and the methodology used to process the data recorded by sensors. This paper reports the contributions of the measurements recorded from dual frequency GPS receivers and uni-axial accelerometers in a full-scale experimental campaign. The Canton tower in Guangzhou-China is the case study of this research, which is instrumented with a long-term structural health monitoring system deploying both accelerometers and GPS receivers. The elaboration of combining the obtained rather long records provided by these two types of sensors in detecting the torsional behavior of the tower under ambient vibration condition and during strong wind events is discussed in this paper. Results confirmed the reliability of GPS receivers in obtaining the dynamic characteristics of the system, and its ability to capture the torsional response of the tower when used alone or when they are combined with accelerometers integrated data.

• Journal of the Korea Concrete Institute
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• v.17 no.4 s.88
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• pp.513-520
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• 2005

The uniform truss mechanism is widely accepted as a shear transfer mechanism in reinforced concrete members. However, the uniform truss action cannot be expected when the bond stress distribution is not constant along longitudinal bars. A test method in which only the truss action takes place is developed and conducted to investigate the truss actions under various bond contributions. Based on the experimental results and analysis, the following findings can be obtained: 1) The bond stress distribution depends on the axial compression force, the amount of shear reinforcement and loading conditions. 2) The analysis using the combined truss model consisting of uniform and fan-shape trusses can predict the experimental results

• The Korean Journal of Physiology and Pharmacology
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• v.2 no.3
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• pp.287-295
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• 1998

Diazepam is known to have cardiovascular depressive effects through a combined action on benzodiazepinergic receptor and the GABA receptor-chloride ion channel complex. Moreover, it is known that barbiturates also have some cardiovascular regulatory effects mediated by the central GABAergic system. Therefore, this study was undertaken to delineate the regulatory actions and interactions of these systems by measuring the responses of the cardiovascular system and renal nerve activity to muscimol, diazepam and pentobarbital, administered intracerebroventricularly in rabbits. When muscimol $(0.03{\sim}0.3\;{\mu}\;g/kg)$, diazepam $(10{\sim}100\;{\mu}\;g/kg)$ and pentobarbital $(1{\sim}10\;{\mu}\;g/kg)$ were injected into the lateral ventricle of the rabbit brain, there were similar dose-dependent decreases in blood pressure (BP) and renal nerve activity (RNA). The relative potency of the three drugs in decreasing BP and RNA was muscimol ＞ pentobarbital ＞ diazepam. Muscimol and pentobarbital also decreased the heart rate in a dose-dependent manner; however, diazepam produced a trivial, dose-independent decrease in heart rate. Diazepam $(30\;{\mu}g/kg)$ augmented the effect of muscimol $(0.1\;{\mu}g/kg)$ in decreasing blood pressure and renal nerve activity, but pentobarbital $(3\;{\mu}g/kg)$ did not. Bicuculline $(0.5\;{\mu}g/kg)$, a GABAergic receptor blocker, significantly attenuated the effect of muscimol in decreasing BP and RNA, either alone or with diazepam, and that of pentobarbital in decreasing BP and RNA, either alone or with muscimol. We inferred that the central benzodiazepinergic and barbiturate systems help regulate peripheral cardiovascular function by modulating the GABAergic system, which adjusts the output of the vasomotor center and hence controls peripheral sympathetic tone. Benzodiazepines more readily modulate the GABAergic system than barbiturates.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1356-1363
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• 2006

The main objective of this research is an increased understanding of how a supplier can successfully manage its care business in the mobile telecommunications market. In order to carry out this purpose, Uzbekistanis mobile telecommunication market has been studied as a case study in this research. The study tried to identify the forces and the factors present in CRM, and the role of these in enhancing (endangering) business. The objective was to gain a better understanding of how customer could be successfully managed and treated through CRM system. Processes and measures of customer satisfaction and loyalty provide two main aspects of the study. The importance of the concept of care and the actions that define it were found to be critically important for creating loyal customers. The relation between customer's needs, satisfaction, and loyalty, and how these ultimately relate to a providing firm's profitability, were seen to be linked in complex ways. The complexity can be studied in many ways but herein the customer satisfaction-loyalty of each event was first evaluated separately. Customer satisfaction and loyalty were then related to each other in order to compare the separate and combined characteristics.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.751-770
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• 2019

Action recognition is an essential task in computer vision due to the variety of prospective applications, such as security surveillance, machine learning, and human-computer interaction. The availability of more video data than ever before and the lofty performance of deep convolutional neural networks also make it essential for action recognition in video. Unfortunately, limited crafted video features and the scarcity of benchmark datasets make it challenging to address the multi-person action recognition task in video data. In this work, we propose a deep convolutional neural network-based Effective Hybrid Learning (EHL) framework for two-person interaction classification in video data. Our approach exploits a pre-trained network model (the VGG16 from the University of Oxford Visual Geometry Group) and extends the Faster R-CNN (region-based convolutional neural network a state-of-the-art detector for image classification). We broaden a semi-supervised learning method combined with an active learning method to improve overall performance. Numerous types of two-person interactions exist in the real world, which makes this a challenging task. In our experiment, we consider a limited number of actions, such as hugging, fighting, linking arms, talking, and kidnapping in two environment such simple and complex. We show that our trained model with an active semi-supervised learning architecture gradually improves the performance. In a simple environment using an Intelligent Technology Laboratory (ITLab) dataset from Inha University, performance increased to 95.6% accuracy, and in a complex environment, performance reached 81% accuracy. Our method reduces data-labeling time, compared to supervised learning methods, for the ITLab dataset. We also conduct extensive experiment on Human Action Recognition benchmarks such as UT-Interaction dataset, HMDB51 dataset and obtain better performance than state-of-the-art approaches.