• The Journal of Korean Medicine
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• v.36 no.1
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• pp.45-60
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• 2015

Objectives: The purpose of this study was to understand the status of reporting and characteristics of adverse drug reactions (ADRs) induced by herbal drugs and to make a suggestion for the domestic pharmacovigilance system on herbal medicine. Methods: We carried out a hospital-based observational study at Dongguk University Ilsan Oriental Hospital from April 2012 to December 2014. We reviewed all the herbal-drug-associated ADRs reports registered to the spontaneous ADR reporting system in electronic medical records of the hospital in the period. Results: We found out 101 reports including 163 herbal-drug-associated ADRs from 97 patients. Females (69.3%) outnumbered males and the most frequent age group was the 50s (44, 27.0%). No serious adverse event was observed. The most commonly reported ADR was gastro-intestinal system disorders (68, 41.5%) followed by skin-related disorders (42, 25.8%). Diarrhea (29, 17.8%) was the most frequently referred clinical manifestation. Most ADRs were induced by internal medicines (160, 98.2%) including manufactured (36, 22.1%) and self-prepared decoction (160, 76.1%). The pairs of Igi-hwan-diarrhea, gamiboa-tang-vomiting, and Magnoliae Flos-gastro-intestinal-system-related ADRs were observed twice each and the others appeared only once. Conclusions: We propose Korean government to take an initiative in national pharmacovigilance system for herbal medicine. To perform the surveillance on herbal drugs, the Association of Korean Medicine (AKOM) should set up a nationwide network by designating centers connecting the Korean medical hospitals, local Korean medicine clinics, and the public health centers. The government and AKOM should also educate and encourage them to understand the pharmacovigilance system and report the ADRs actively.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.437-443
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• 2015

This paper presents face recognition based on the fusion of visible image and thermal infrared (IR) texture estimated from the face image in the visible spectrum. The proposed face recognition scheme uses a multi- layer neural network to estimate thermal texture from visible imagery. In the training process, a set of visible and thermal IR image pairs are used to determine the parameters of the neural network to learn a complex mapping from a visible image to its thermal texture in the low-dimensional feature space. The trained neural network estimates the principal components of the thermal texture corresponding to the input visible image. Extensive experiments on face recognition were performed using two popular face recognition algorithms, Eigenfaces and Fisherfaces for NIST/Equinox database for benchmarking. The fusion of visible image and thermal IR texture demonstrated improved face recognition accuracies over conventional face recognition in terms of receiver operating characteristics (ROC) as well as first matching performances.

• Journal of Communications and Networks
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• v.14 no.2
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• pp.162-168
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• 2012

This paper considers the scenario in which a set of nodes share a common channel. Some nodes have a rechargeable battery and the others are plugged to a reliable power supply and, thus, have no energy limitations. We consider two source-destination pairs and apply the concept of cognitive radio communication in sharing the common channel. Specifically, we give high-priority to the energy-constrained source-destination pair, i.e., primary pair, and low-priority to the pair which is free from such constraint, i.e., secondary pair. In contrast to the traditional notion of cognitive radio, in which the secondary transmitter is required to relinquish the channel as soon as the primary is detected, the secondary transmitter not only utilizes the idle slots of primary pair but also transmits along with the primary transmitter with probability p. This is possible because we consider the general multi-packet reception model. Given the requirement on the primary pair's throughput, the probability p is chosen to maximize the secondary pair's throughput. To this end, we obtain two-dimensional maximum stable throughput region which describes the theoretical limit on rates that we can push into the network while maintaining the queues in the network to be stable. The result is obtained for both cases in which the capacity of the battery at the primary node is infinite and also finite.

• Korean Journal of Social Welfare
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• v.42
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• pp.41-82
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• 2000

The purpose of this study is to provide empirical findings about intragenerational and intergenerational discrepancies in eldercare attitude and behavior in Korea. Specifically, intragenerational discrepancies refer to phenomena in which eldercare attitude and behavior diverge from each other within the caregiving and care-receiving generations, respectively. Intergenerational discrepancies, on the other hand, refer to two kinds of phenomena, one in which eldercare attitudes are different between caregiver and care-receiver and the other in which eldercare behavior is differently recognized between the two parties. For the last couple decades, these kinds of discrepancies tended to be simply assumed without any coherent theoretical and/or empirical rationales. Thus, the current study tried to investigate the degree, pattern, and characteristics associated with the discrepancies. Analysis of data collected from 276 matched pairs of caregivers (i.e., daughters-in-law) and care-receivers (i.e., the elderly) in Kwangju and its suburb areas has indicated a substantial amount of both intra- and inter-generational discrepancies. In other words, both caregivers and care-receivers were found to be experiencing huge discrepancies between attitude and behavior in their respective generation: the factual discrepancies in attitude between the two generations were quite salient: the cognitive discrepancies in behavior between them were salient, too. In addition, it was also found' that the extent to which the discrepancies became salient differed for the three subdimensions of eldercare (i.e., emotional, economic, and physical care), and that such discrepancies have intimate relationships with a set of sociodemographic characteristics for caregivers - notably, age, educational attainment, area of residence, household income - on the one hand, and those for care-receivers - notably, gender, age, educational attainment, cohabitation, family size, inheritance, owned property - on the other. A series of theoretical, empirical, and clinical implications stemming from the findings were suggested and fully discussed in the context of Korean society.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.2
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• pp.76-81
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• 2005

This research approached electrical characteristics of organic light emitting diodes getting into the spotlight by next generation display device. Basic mechanism of OLED's emitting is known as that electron by cathode of lower work function and hole by anode of higher work function are driven and recombine exciton-state being flowed in emitting material layer passing carrier transport layer In order to make many electron-hole pairs, we must manufacture device in multi-layer structure. There are Carrier Injection Layer(CIL), Carrier Transport Layer(CTL) and Emitting Material Layer(EML) in multi-layer structure. It is important that regulate thickness of layer for high luminescence efficiency and set mobility of hole and electron.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.32-42
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• 2015

In this paper, we considered the scenario that one cellular link and muti-D2D links share the same frequency resource which can improve the spectrum efficiency during uplink communication in LTE (Long Term Evolution)-Advanced network. In order to reduce the interference caused to the D2D users, we set DME (Discovery and Management Entity) which can send the area information to eNB(evolved Node B). We proposed a resource allocation scheme by using these assistant devices to reduce the interference that CUE (Cellular User Equipment) causes to DUE Rx (D2D UE Receiver). Basing on the area information, in order to mitigate the interference among the D2D pairs which share the same frequency resource, a power control scheme has been proposed. The simulation results prove that by using the DMEs, the proposed schemes improve the stability of D2D communication and bring the highest performance of the communication system when comparing to the other different schemes.

• The KIPS Transactions:PartB
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• v.12B no.4 s.100
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• pp.479-486
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• 2005

The ontology was proposed to construct the logical basis of semantic web. Ontology represents domain knowledge in the formal form and it enables that machine understand domain knowledge and provide appropriate intelligent service for user request. However, the construction and the maintenance of ontology requires large amount of cost and human efforts. This paper proposes an automatic ontology construction method for defining relation between concepts in the documents. The Proposed method works as following steps. First we find concept pairs which compose association rule based on the concepts in domain specific documents. Next, we find pattern that describes the relation between concepts by clustering the context between two concepts composing association rule. Last, find generalized pattern name by clustering the clustered patterns. To verify the proposed method, we extract relation between concepts and evaluate the result using documents set provide by TREC(Text Retrieval Conference). The result shows that proposed method cant provide useful information that describes relation between concepts.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.6
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• pp.529-536
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• 2004

The main idea of this paper is to combine position information in sentence and query type classification to make the documents ranking to query more accessible. First, the use of conceptual graphs for the representation of document contents In information retrieval is discussed. The method is based on well-known strategies of text comparison, such as Dice Coefficient, with position-based weighted term. Second, we introduce a method for learning query type classification that improves the ability to retrieve answers to questions from Question Answering system. Proposed methods employ naive bayes classification in machine learning fields. And, we used a collection of approximately 30,000 question-answer pairs for training, obtained from Frequently Asked Question(FAQ) files on various subjects. The evaluation on a set of queries from international TREC-9 question answering track shows that the method with machine learning outperforms the underline other systems in TREC-9 (0.29 for mean reciprocal rank and 55.1% for precision).

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.777-784
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• 2006

This paper proposes a c-fuzzy model tree using partial least square method to predict the Chlorophyll-a concentration in each zone. First, cluster centers are calculated by fuzzy clustering method using all input and output attributes. And then, each internal node is produced according to fuzzy membership values between centers and input attributes. Linear models are constructed by partial least square method considering input-output pairs remained in each internal node. The expansion of internal node is determined by comparing errors calculated in parent node with ones in child node, respectively. On the other hands, prediction is performed with a linear model haying the highest fuzzy membership value between input attributes and cluster centers in leaf nodes. To show the effectiveness of the proposed method, we have applied our method to water quality data set measured at several stations. Under various experiments, our proposed method shows better performance than conventional least square based model tree method.

• Korean Journal of Remote Sensing
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• v.22 no.6
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• pp.613-619
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• 2006

This study proposed an unsupervised image classification through the dendrogram of agglomerative clustering as a higher stage of image segmentation in image processing. The proposed algorithm is a hierarchical clustering which includes searching a set of MCSNP (Mutual Closest Spectral Neighbor Pairs) based on the data structures of RAG(Regional Adjacency Graph) defined on spectral space and Min-Heap. It also employes a multi-window system in spectral space to define the spectral adjacency. RAG is updated for the change due to merging using RNV (Regional Neighbor Vector). The proposed algorithm provides a dendrogram which is a graphical representation of data. The hierarchical relationship in clustering can be easily interpreted in the dendrogram. In this study, the proposed algorithm has been extensively evaluated using simulated images and applied to very large QuickBird imagery acquired over an area of Korean Peninsula. The results have shown it potentiality for the application of remotely-sensed imagery.