• Journal of Internet Computing and Services
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• v.19 no.3
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• pp.67-77
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• 2018

This paper suggests that LOD establishes its own link policy and publishes it to LOD cloud to provide identity among entities in different LODs. For specifying the link policy, we proposed vocabulary set founded on RDF model as well. We implemented Policy based In-depth Searching and Cleansing(PISC for short) system that proceeds in-depth searching across LODs by referencing the link policies. PISC has been published on Github. LODs have participated voluntarily to LOD cloud so that degree of the entity identity needs to be evaluated. PISC, therefore, evaluates the identities and cleanses the searched entities to confine them to that exceed user's criterion of entity identity level. As for searching results, PISC provides entity's detailed contents which have been collected from diverse LODs and ontology customized to the content. Simulation of PISC has been performed on DBpedia's 5 LODs. We found that similarity of 0.9 of source and target RDF triples' objects provided appropriate expansion ratio and inclusion ratio of searching result. For sufficient identity of searched entities, 3 or more target LODs are required to be specified in link policy.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.225-230
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• 2020

The KBO League is held over a long period of time due to the large number of games. Also, Korea has a diverse and distinct climate. Therefore, this study analyzed the relationship between the daily average temperature and the record of batting power such as home runs, triples, doubles, number of bases, batting percentage, and net batting percentage, and a third baseball record was defined. For this study, the correlation between the daily average temperature data and the batter who entered the standard at-bat in the KBO League in 2019 was analyzed through the SEMMA method. From the results of this study, it was found that the average daily temperature had an effect on a batter's hitting power. In particular, it was found that a batter's hitting power decreased on the day of temperatures recorded between 20.0 degrees and 24.9 degrees, and it was discussed that this may have been related to the physical condition of the pitcher the batter was facing. Therefore, it can be expected that players, coaching staff, and the front desk can use them in the game through conditions outside the game. In addition, it is expected that it will be a more useful analysis model by analyzing the records of pitching, base running, and defense as well as subsequent batting records.

• Journal of Animal Science and Technology
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• v.57 no.5
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• pp.17.1-17.6
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• 2015

The present study investigated the nutritional and economic suitability of cashew reject meal (full fat and defatted) as replacement for groundnut cake (GNC) in the diets of laying chickens. A total of eighty four brown shavers at 25 weeks of age were randomly allotted into seven dietary treatments each containing 6 replicates of 2 birds each. The seven diets prepared included diet 1, a control with GNC at $220gkg^{-1}$ as main protein source in the diet. Diets 2, 3 and 4 consist of gradual replacement of GNC with defatted cashew reject meal (DCRM) at 50%, 75% and 100% on weight for weight basis respectively while diets 5, 6 and 7 consist of gradual inclusion of full fat cashew reject meal (FCRM) to replace 25%, 35% and 50% of GNC protein respectively. Each group was allotted a diet in a completely randomized design in a study that lasted eight weeks during which records of the chemical constituent of the test ingredients, performance characteristics, egg quality traits and economic indicators were measured. Results showed that the crude protein were 22.10 and 35.4% for FCRM and DCRM respectively. Gross energy of DCRM was 5035 kcal/kg compared to GNC, 4752 kcal/kg. Result of aflatoxin $B_1$ revealed moderate level between 10 and $17{\mu}g/Kg$ in DCRM and GNC samples respectively. Birds on control gained 10 g, while those on DCRM and FCRM gained about 35 g and 120 g respectively. Feed intake declined (P < 0.05) with increased level of FCRM. Hen day production was highest in birds fed DCRM, followed by control and lowest value (P < 0.05) was recorded for FCRM. No significant change (P > 0.05) was observed for egg weight and shell thickness. Fat deposition and cholesterol content increased (P > 0.05) with increasing level of FCRM. The cost of feed per kilogram decreased gradually with increased inclusion level of CRM. The prediction equation showed the relative worth of DCRM compared to GNC was 92.3% whereas the actual market price of GNC triples that of DCRM. It was recommended that GNC could be completely replaced by DCRM in layer's diets in regions where this by product is abundant. However, FCRM should be cautiously used in diets of laying chickens.

• Radiation Oncology Journal
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• v.4 no.2
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• pp.129-133
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• 1986

To know the three questions about multiple primary cancers: 1) what are the characteristics of persons having multiple parimary cancer? 2) Does the presence of a single primary concer after the susceptability to multiple primary cancers? 3) Does the location of one multiple primary cancer influence the site of others?, we analysed 121 cases of multiple primary malignant neoplasms registered in Seoul National University Hospital during 8 years from July 1978 to August 1986. Of 121 cases, double primary malignant neoplasms were 119 cases and triples were 2 cases. The incidence of multiple primary malignant neoplasms was $0.7\%$. The metachronous tumor (>6 months) was found in 70 cases and the median time between the first and the second was 32 months. The most commonly associated tumors were stomach and primary liver carcinoma. Cervix and Lung cancer, Stomach and Rectal cancer, Stomach and Esophagus cancer were also commonly associated.

• Journal of Industrial Convergence
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• v.20 no.9
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• pp.11-24
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• 2022

The average age of CEOs of the small and medium-sized enterprises(SMEs) in Korea is 58.8, and discussions are actively underway regarding the support towards the succession companies. Government authorities are also operating a system to support the succession companies, and recently global support is also being demanded. In order to have justification over the support for succession companies, the fact that it greatly contributes to the revitalization of the national economy and the regional economy must be acknowledged in advance. This study analyzed the degree of corporate succession revitalization of the national and regional economy through statistical and empirical analysis. With the purpose to secure the reliability of the analysis, the study has referred to the database of the "Integrated Management System for Small Business Recruitment Project" and the Korea Enterprise Data (KED), which can be the most differentiated aspect compared to the existing research of the past. According to the analysis, it shows that the old companies' performance is significantly higher than the general companies in terms of sales, number of employees, assets, and operating profits⋯etc. The management performance of the old companies (which lasted over 30 years) more than doubles the performance of the start-ups (with less than 10 years of experience) in sales, triples the number of employees, doubles the assets, and more than doubles the operating profit. Thus, it is seen that the contribution to the overall economy is significant. Additionally, as a result of the empirical analysis of the relationship between the regional old companies and the regional economic revitalization, the non-metropolitan area shows better performance than the metropolitan area in terms of the number of employees, assets, borrowings, and rent, which entails policy implications of the polarization between the metropolitan and non-metropolitan areas. In other words, it is found that old companies make a significant contribution to revitalizing the local economy, suggesting that further policies regarding corporate succession are required to support the old companies in the future.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.145-154
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• 2022

Automatic Target Recognition (ATR) technology is emerging as a core technology of Future Combat Systems (FCS). Conventional ATR is performed based on IMINT (image information) collected from the SAR sensor, and various image-based deep learning models are used. However, with the development of IT and sensing technology, even though data/information related to ATR is expanding to HUMINT (human information) and SIGINT (signal information), ATR still contains image oriented IMINT data only is being used. In complex and diversified battlefield situations, it is difficult to guarantee high-level ATR accuracy and generalization performance with image data alone. Therefore, we propose a knowledge graph-based ATR method that can utilize image and text data simultaneously in this paper. The main idea of the knowledge graph and deep model-based ATR method is to convert the ATR image and text into graphs according to the characteristics of each data, align it to the knowledge graph, and connect the heterogeneous ATR data through the knowledge graph. In order to convert the ATR image into a graph, an object-tag graph consisting of object tags as nodes is generated from the image by using the pre-trained image object recognition model and the vocabulary of the knowledge graph. On the other hand, the ATR text uses the pre-trained language model, TF-IDF, co-occurrence word graph, and the vocabulary of knowledge graph to generate a word graph composed of nodes with key vocabulary for the ATR. The generated two types of graphs are connected to the knowledge graph using the entity alignment model for improvement of the ATR performance from images and texts. To prove the superiority of the proposed method, 227 documents from web documents and 61,714 RDF triples from dbpedia were collected, and comparison experiments were performed on precision, recall, and f1-score in a perspective of the entity alignment..