• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4621-4625
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• 2013

The purpose of this study was to construct a protein-protein interaction (PPI) network related to oral squamous cell carcinoma (OSCC). Each protein was ranked and those most associated with OSCC were mined within the network. First, OSCC-related genes were retrieved from the Online Mendelian Inheritance in Man (OMIM) database. Then they were mapped to their protein identifiers and a seed set of proteins was built. The seed proteins were expanded using the nearest neighbor expansion method to construct a PPI network through the Online Predicated Human Interaction Database (OPHID). The network was verified to be statistically significant, the score of each protein was evaluated by algorithm, then the OSCC-related proteins were ranked. 38 OSCC related seed proteins were expanded to 750 protein pairs. A protein-protein interaction nerwork was then constructed and the 30 top-ranked proteins listed. The four highest-scoring seed proteins were SMAD4, CTNNB1, HRAS, NOTCH1, and four non-seed proteins P53, EP300, SMAD3, SRC were mined using the nearest neighbor expansion method. The methods shown here may facilitate the discovery of important OSCC proteins and guide medical researchers in further pertinent studies.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.2
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• pp.53-60
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• 2020

Sentiment analysis is the automated process of understanding attitudes and opinions about a given topic from written or spoken text. One of the sentiment analysis approaches is a dictionary-based approach, in which a sentiment dictionary plays an much important role. In this paper, we propose a method to automatically generate Korean sentiment lexicon from the well-known English sentiment lexicon called VADER (Valence Aware Dictionary and sEntiment Reasoner). The proposed method consists of three steps. The first step is to build a Korean-English bilingual lexicon using a Korean-English parallel corpus. The bilingual lexicon is a set of pairs between VADER sentiment words and Korean morphemes as candidates of Korean sentiment words. The second step is to construct a bilingual words graph using the bilingual lexicon. The third step is to run the label propagation algorithm throughout the bilingual graph. Finally a new Korean sentiment lexicon is generated by repeatedly applying the propagation algorithm until the values of all vertices converge. Empirically, the dictionary-based sentiment classifier using the Korean sentiment lexicon outperforms machine learning-based approaches on the KMU sentiment corpus and the Naver sentiment corpus. In the future, we will apply the proposed approach to generate multilingual sentiment lexica.

• Journal of the Korean Society of Tobacco Science
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• v.11 no.2
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• pp.181-195
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• 1989

The study was conducted to obtain the genetic informations for some useful characters in tobacco breeding. The eight parents and a set of 28 crosses of F1's and F2's were used as materials, and planted on two different cultivated systems, i. e., oriental's and burley systems, during 1986-1988 at taegu Experiment Station, Korea Ginseng & Tobacco Research Institute. The observed characters were six agronomic characters which were plant height, number of leaves per plant, leaf length, leaf width, days to flowering, yield and five chemical components, nicotine, total nitrogen, protein nitrogen, total volatile base and pet, ether extract. The results obtaining are summarized as follows: 1. The higher heritabilities were found for days to flowering yield and nicotine in both generations, but values for number of leaves per plant, leaf length, total nitrogen and protein nitrogen were lower than other characters. 2. Genotypic correlation coefficients among all pairs of characters were slightly higher than the corresponding phenotypic correlations in F1's and F2's on two different cultivated systems. The relationship between leaf length and leaf width was the positive correlation, but that between number of leaves per plant and leaf width was negative. 3. From the genotypic correlations between yield and other characters, a conclusion that the yield was highly correlated with plant height, leaf length, leaf width and days to flowering was given. 4. Quality was positively correlated with number of leaves per plant and nicotine, but negatively with the other agronomic characters and chemical components.

• Fashion & Textile Research Journal
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• v.22 no.2
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• pp.240-249
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• 2020

This study reviews studies that used skin temperature in order to establish an emotion evaluation protocol based on skin temperature for home appliances. A survey of skin temperature evaluation papers was conducted by the following five stages: (1) keyword search, (2) title screening, (3) abstract screening, (4) full paper screening, and (5) relevance evaluation. Selected papers were reviewed for: purpose, recruitment criteria of participants, the number of participants, apparatus, procedure, measures, analysis methods, and major findings. Thermistor sensors and thermography are used for the measurement of skin temperature. Skin temperature sensors are attached to 4 - 10 locations on the body and their mean of skin temperature is calculated by Ramanatan's 4-point or Hardy & Dubois's 7-point method. Semantic differential (SD) method and thermography measuring facial surface temperature have been used for emotion evaluation. The SD method provides a set of adjective pairs related to a product and evaluates changes in emotion from the use of the product. The range of facial surface analyzed is defined in the thermal image and temperature changes before and after the evaluation are analyzed. The evaluation items of home appliances include form, color, material, aesthetics, satisfaction, novelty, convenience, pleasantness, and excellence. Many existing emotion studies using skin temperature do not apply physiological and psychological methods. This study provides basic data to establish a skin temperature and emotion evaluation protocol by examining literature for skin temperature and evaluation of sensitivity.

• International Journal of Automotive Technology
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• v.5 no.1
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• pp.33-46
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• 2004

A finite element model development of a 50th percentile male cervical spine is presented in this paper. The model consists of rigid, geometrically accurate vertebrae held together with deformable intervertibral disks, facet joints, and ligaments modeled as a series of nonlinear springs. These deformable structures were rigorously tuned, through failure, to mimic existing experimental data; first as functional unit characterizations at three cervical levels and then as a fully assembled c-spine using the experimental data from Duke University and other data in the NHTSA database. After obtaining satisfactory validation of the performance of the assembled ligamentous cervical spine against available experimental data, 22 cervical muscle pairs, representing the majority of the neck's musculature, were added to the model. Hill's muscle model was utilized to generate muscle forces within the assembled cervical model. The muscle activation level was assumed to be the same for all modeled muscles and the degree of activation was set to correctly predict available human volunteer experimental data from NBDL. The validated model is intended for use as a post processor of dummy measurement within the simulated injury monitor (SIMon) concept being developed by NHTSA where measured kinematics and kinetic data obtained from a dummy during a crash test will serve as the boundary conditions to "drive" the finite element model of the neck. The post-processor will then interrogate the model to determine whether any ligament have exceeded its known failure limit. The model will allow a direct assessment of potential injury, its degree and location thus eliminating the need for global correlates such as Nij.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2003.11a
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• pp.322-327
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• 2003

It is important to know the accurate radionuclide inventory of radioactive waste for the reliable management. However, estimation of radionuclide concentrations in drummed radioactive waste is difficult and unreliable because of difficulties of direct detection, high cost, and radiation exposure of sampling personnel. In order to overcome these difficulties, scaling factors (SFs) have been used to assess the activities of radionuclides that could not be directly analyzed. A radionuclide assay system has been operated at KORI site since 1996 and consolidated scaling factor method has played a dominant role in determination of radionuclides concentrations. However, some problems are still remained such as uncertainty of estimated scaling factor values, inaccuracy of analyzed sample values, and disparity between the actual and ideal correlation pairs and the others. Therefore, it needs to improve the accuracy of scaling factor values. The scope of this paper is focused on the improvement of accuracy and representativeness of calculated scaling factor values based on statistical techniques. For the selection of reliable activity determination method, the accuracy of estimated SF values for each activity determination method is compared. From the comparison of each activity determination methods, it is recommended that SF determination method should be changed from the arithmetic mean to the geometrical mean for more reliable estimation of radionuclide activity. Arithmetic mean method and geometric mean method are compared based on the data set in KORI system.

• Journal of KIISE:Software and Applications
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• v.32 no.12
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• pp.1260-1270
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• 2005

Support Vector Machines (SVM) is well known for a representative learner as one of the kernel methods. SVM which is based on the statistical learning theory shows good generalization performance and has been applied to various pattern recognition problems. However, SVM is basically to deal with a two-class classification problem, so we cannot solve directly a multi-class problem with a binary SVM. One-Per-Class (OPC) and All-Pairs have been applied to solve the face recognition problem, which is one of the multi-class problems, with SVM. The two methods above are ones of the output coding methods, a general approach for solving multi-class problem with multiple binary classifiers, which decomposes a complex multi-class problem into a set of binary problems and then reconstructs the outputs of binary classifiers for each binary problem. In this paper, we introduce the output coding methods as an approach for extending binary SVM to multi-class SVM and propose new output coding schemes based on the Error-Correcting Output Codes (ECOC) which is a dominant theoretical foundation of the output coding methods. From the experiment on the face recognition, we give empirical results on the properties of output coding methods including our proposed ones.

• Journal of Families and Better Life
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• v.31 no.2
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• pp.1-24
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• 2013

The purpose of this study was to understand the lived experiences of grandmothers who provide child care services to their grandchildren and employed mothers who utilize child care by grandmothers, with regards to their relationships while exchanging the specific type of intergenerational support. The data for this study came from 42 in-depth, individual interviews with 21 pairs of employed mothers who had at least one child younger than elementary-school age and their mothers or mothers-in-law who had provided child care on a daily basis for their grandchildren. Our phenomenological analysis revealed that the grandmothers felt uncomfortable and overwhelmed when caring for their grandchildren and that they considered this activity to be different from caring for their own children by nature. However, the grandmothers wanted to help their adult children based on their feeling of "boo-mo-ma-eum" (meaning parental heart, i.e., love or care). The employed mothers perceived that they were substantially dependent on the grandmothers by receiving help with child care and housework. Reliance on grandmothers was inevitable and beneficial to these mothers. Dynamic intergenerational living arrangements enabled the dependent relationships. The grandmothers set specific boundaries pertaining to current and future child care so that they would not take on too much responsibility for child care. The mothers used various strategies that contributed to stable child care support from the grandmothers. Providing financial remuneration was an important strategy that had symbolic relational meanings, such as expressing gratitude, rather than financial meanings.

• The Journal of Korean Medicine
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• v.20 no.1 s.37
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• pp.60-65
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• 1999

We have conducted a study of the interobserver reliabilities of Modified Barthel Index and Motor Assessment Scale with 30 patients hospitalized with strokes in the department of circulatory internal medicine, Sang Ji University Oriental Hospital. The observations were performed by two staff and residents in the circulatory internal medicine department. Raters were assigned in random pairs to individual patients. Evaluations were performed independently by the two observers. In order to minimize the impact of fluctuations in the patients' clinical status, the second set of observations immediately followed the first. Each patient was used for only one pair of evaluations. The results were as follows. 1. Mean kappa value of 13 items in Modified Barthel Index(MBD was 0.742, which indicated excellent interobserver reliability. The kappa values indicated almost $perfect({\kappa}:\;0.81-1.00)$ for 4, substantial for $9({\kappa}:\;0.61-0.80)$, and moderate for $2({\kappa}:\;0.41-0.60)$ of 13 items. All items. except Grooming item, showed statistically significant interobserver agreement(p<0.01) 2. Mean kappa value of 8 items. except General tonus, in Motor Assessment Scale(MAS) was 0.823, which indicated excellent interobserver reliability. and this value of Motor Assessment Scale was more high than MBI' s value. 0.81. The kappa values indicated almost perfect for 5, substantial for 3 of 8 items. All items showed statistically significant interobserver agreement(P<0.01).

• Journal of KIISE
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• v.43 no.9
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• pp.1026-1033
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• 2016

Path-finding on a grid map is a problem generally addressed in the fields of robotics, intelligent agents, and computer games. As technology advances, virtual game worlds tend to be represented more accurately and more realistically, resulting in an excessive increase in the number of grid tiles and in path-search time. In this study, we propose a path-finding algorithm that allows a prompt response to real-time queries by constructing a reduced state space and by precomputing all possible paths in an offline preprocessing stage. In the preprocessing stage, we vertically decompose free space on the grid map, construct a connectivity graph where nodes are the decomposed regions, and store paths between all pairs of nodes in matrix form. In the real-time query stage, we first find the nodes containing the query points and then retrieve the corresponding stored path. The proposed method is simulated for a set of maps that has been used as a benchmark for grid-based path finding. The simulation results show that the state space and the search time decrease significantly.