• Journal of Korean Home Economics Education Association
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• 제30권2호
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• pp.103-116
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• 2018

The purpose of the present study is to categorize collaborative consumption intention in high school students based on providing and using collaborative consumption behaviors, to compare and analyze the factors that predict these. Data gathered from 418 high school students through an online survey were used to conduct a descriptive statistics analysis, cluster analysis, and multinomial logistic regression. Firstly, collaborative consumer intentions were classified into four groups, including a proactive group with high providing behaviors and using behaviors, an active providing group, an active using group, and a passive group with low providing and using behaviors. Secondly, mass media, social benefits, enjoyment, community effect, and reputation were revealed as factors that increased the potential for inclusion in the active groups, and home education, mass media, enjoyment, and reputation were factors that increased the potential for inclusion in the active providing group. Enjoyment was revealed as the factor that increased the potential for inclusion in the active using group. The results of the present study show that the active utilization of consumer education and a systematic approach are required to revitalize collaborative consumption and proper settlement. Furthermore, a systematic establishment of school consumer education is needed for the balanced development of collaborative consumption. Also, an environmental system in which actual expected benefits can be experienced and realized in a diverse manner should be created to encourage consumers collaborate more actively.

• Journal of Ginseng Research
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• 제45권2호
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• pp.228-235
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• 2021

Backgroud: Ginsenoside compound K (GK) is a major metabolite of protopanaxadiol-type ginsenosides and has remarkable anticancer activities in vitro and in vivo. This work used an ionic cross-linking method to entrap GK within O-carboxymethyl chitosan (OCMC) nanoparticles (Nps) to form GK-loaded OCMC Nps (GK-OCMC Nps), which enhance the aqueous solubility and stability of GK. Methods: The GK-OCMC Nps were characterized using several physicochemical techniques, including x-ray diffraction, transmission electron microscopy, zeta potential analysis, and particle size analysis via dynamic light scattering. GK was released from GK-OCMC Nps and was conducted using the dialysis bag diffusion method. The effects of GK and GK-OCMC Nps on PC3 cell viability were measured by using the 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide assay. Fluorescent technology based on Cy5.5-labeled probes was used to explore the cellular uptake of GK-OCMC Nps. Results: The GK-OCMC NPs had a suitable particle size and zeta potential; they were spherical with good dispersion. In vitro drug release from GK-OCMC NPs was pH dependent. Moreover, the in vitro cytotoxicity study and cellular uptake assays indicated that the GK-OCMC Nps significantly enhanced the cytotoxicity and cellular uptake of GK toward the PC3 cells. GK-OCMC Nps also significantly promoted the activities of both caspase-3 and caspase-9. Conclusion: GK-OCMC Nps are potential nanocarriers for delivering hydrophobic drugs, thereby enhancing water solubility and permeability and improving the antiproliferative effects of GK.

• KIPS Transactions on Software and Data Engineering
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• 제10권8호
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• pp.287-300
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• 2021

Collaborative Cyber-Physical Systems (CCPS) are those systems that contain tightly coupled physical and cyber components, massively interconnected subsystems, and collaborate to achieve a common goal. The safety of a single Cyber-Physical System (CPS) can be achieved by following the safety standards such as ISO 26262 and IEC 61508 or by applying hazard analysis techniques. However, due to the complex, highly interconnected, heterogeneous, and collaborative nature of CCPS, a fault in one CPS's components can trigger many other faults in other collaborating CPSs. Therefore, a safety assurance technique based on fault criticality analysis would require to ensure safety in CCPS. This paper presents a Fault Criticality Matrix (FCM) implemented in our tool called CPSTracer, which contains several data such as identified fault, fault criticality, safety guard, etc. The proposed FCM is based on composite hazard analysis and content-based relationships among the hazard analysis artifacts, and ensures that the safety guard controls the identified faults at design time; thus, we can effectively manage and control the fault at the design phase to ensure the safe development of CPSs. To justify our approach, we introduce a case study on the Platooning system (a collaborative CPS). We perform the criticality analysis of the Platooning system using FCM in our developed tool. After the detailed fault criticality analysis, we investigate the results to check the appropriateness and effectiveness with two research questions. Also, by performing simulation for the Platooning, we showed that the rate of collision of the Platooning system without using FCM was quite high as compared to the rate of collisions of the system after analyzing the fault criticality using FCM.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권6호
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• pp.2709-2729
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• 2016

Representation based classification, kernel method and sparse representation have received much attention in the field of face recognition. In this paper, we proposed an improved kernel principal component analysis method based on sparse representation to improve the accuracy and robustness for face recognition. First, the distances between the test sample and all training samples in kernel space are estimated based on collaborative representation. Second, S training samples with the smallest distances are selected, and Kernel Principal Component Analysis (KPCA) is used to extract the features that are exploited for classification. The proposed method implements the sparse representation under ℓ₂ regularization and performs feature extraction twice to improve the robustness. Also, we investigate the relationship between the accuracy and the sparseness coefficient, the relationship between the accuracy and the dimensionality respectively. The comparative experiments are conducted on the ORL, the GT and the UMIST face database. The experimental results show that the proposed method is more effective and robust than several state-of-the-art methods including Sparse Representation based Classification (SRC), Collaborative Representation based Classification (CRC), KCRC and Two Phase Test samples Sparse Representation (TPTSR).

• Journal of the Korea Safety Management & Science
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• 제23권4호
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• pp.93-104
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• 2021

In this paper, we propose a method for diagnosing overload and working load of collaborative robots through performance analysis of machine learning algorithms. To this end, an experiment was conducted to perform pick & place operation while changing the payload weight of a cooperative robot with a payload capacity of 10 kg. In this experiment, motor torque, position, and speed data generated from the robot controller were collected, and as a result of t-test and f-test, different characteristics were found for each weight based on a payload of 10 kg. In addition, to predict overload and working load from the collected data, machine learning algorithms such as Neural Network, Decision Tree, Random Forest, and Gradient Boosting models were used for experiments. As a result of the experiment, the neural network with more than 99.6% of explanatory power showed the best performance in prediction and classification. The practical contribution of the proposed study is that it suggests a method to collect data required for analysis from the robot without attaching additional sensors to the collaborative robot and the usefulness of a machine learning algorithm for diagnosing robot overload and working load.

• Archives of design research
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• 제20권1호
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• pp.155-166
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• 2007

This study is about an interface design supporting collaborative learning activities in online environment in which people exchange their knowledge and give feedback on personal storytelling to each other. Interface design issues from the viewpoint of Computer Supported Collaborative Learning (CSCL) on digital media design are considered. Based on collaborative learning theories and analysis on the existing online collaborative sites about digital media, such as online forums for digital pictures and films, interface guidelines are suggested and the interface is designed. The interface design is evaluated through a pilot test. The interface for collaborative learning on personal storytelling is designed to support observation and to provide a scaffolding for valuable conversation. It is also designed to help intersubjectivity of online conversation and an easy access to media.

• Journal of Korean Library and Information Science Society
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• 제45권2호
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• pp.29-50
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• 2014

The goal of this study is to review the importance and to prove the feasibility of establishment and operation of the academic collaborative repositories in Korea. To that end, its importance was analyzed from the sides of collection space of libraries, national management of academic information resources, cases of collaborative repository. And its feasibility was logically proved in terms of the global production and distribution of knowledge and information, library relevant laws, national policies of academic information resources, and actual collection space of academic libraries. As a result, the importances and feasibilities of establishment of the academic collaborative repository were revealed by enough. Accordingly, there is a need to develop immediately the establishment and operation model of the collaborative repository for academic libraries.

• Asian Pacific Journal of Cancer Prevention
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• 제16권9호
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• pp.3805-3810
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• 2015

Arsenic trioxide (ATO) has been found to exert anti-cancer activity in various human malignancies. However, the molecular mechanisms by which ATO inhibits tumorigenesis are not fully elucidated. In the current study, we explored the molecular basis of ATO-mediated tumor growth inhibition in pancreatic cancer cells. We used multiple approaches such as MTT assay, wound healing assay, Transwell invasion assay, annexin V-FITC, cell cycle analysis, RT-PCR and Western blotting to achieve our goal. We found that ATO treatment effectively caused cell growth inhibition, suppressed clonogenic potential and induced G2-M cell cycle arrest and apoptosis in pancreatic cancer cells. Moreover, we observed a significant down-regulation of Skp2 after treatment with ATO. Furthermore, we revealed that ATO regulated Skp2 downstream genes such as FOXO1 and p53. These findings demonstrate that inhibition of Skp2 could be a novel strategy for the treatment of pancreatic cancer by ATO.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제35권7C호
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• pp.642-650
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• 2010

Collaborative spectrum sensing allows secondary users scattered in location to work together to detect the activity of primary users and has been shown to significantly reduce the performance degradation due to fading phenomenon. Most previous works on collaborative spectrum sensing are based on the assumption that local spectrum sensing decisions of secondary users are statistically independent. However, it may not hold in some practical situations with shadowing effect. In this paper, we consider the case that the secondary users are evenly spaced in the form of a linear array and only adjacent secondary users are statistically correlated, and analyze the effect of the statistical correlation on the performance of collaborative spectrum sensing and the throughput of a cognitive radio network. Here we assumed the AND and OR fusion rules for combining the local decisions of secondary users. The analysis showed that the AND fusion rule achieves higher throughput than the OR fusion rule.

• Journal of the Korean Chemical Society
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• 제66권6호
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• pp.509-520
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• 2022

This study investigated the impact of elementary school science classes based on collaborative problem-solving on the character competency of students. For this purpose, students from 2 classes in 5^th grade at an elementary school in a metropolitan city were targeted, and elementary science classes based on collaborative problem-solving were developed and applied to the 5 topics selected from the 'dissolution and solution' unit in the elementary science curriculum. In order to investigate the effect of science class based on collaborative problem-solving on the character competency of students, results of the character competence test before and after the class, reflective writing activity sheets filled out by the students in the experimental group, and questionnaires regarding their changes in character competency after the class were analyzed. The results showed that elementary science classes based on collaborative problem-solving were effective in cultivating the character competence of elementary school students.