• Korean Journal of Logic
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• v.18 no.2
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• pp.217-241
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• 2015

Brandom upholds the anaphoric theory of reference. On this theory, reference is a relation of anaphoric dependence between linguistic items rather than a substantial relation between linguistic items and non-linguistic objects. In addition, 'refers' is a pronoun-forming operator, which is used to form anaphorically indirect descriptions such as 'the one referred to as "Leibniz"'. Recently, Arbid $B{\aa}ve$ raises three objections against this theory. First, the anaphoric theory distinguishes between ordinary descriptions and anaphorically indirect descriptions in terms of iterability. But this condition is not an adequate ground for asserting that anaphorically indirect descriptions form a distinctive semantic category. Second, sentences containing a pronoun such as 'he' and sentences containing an anaphorically indirect description such as 'the one referred to as "Leibniz"' have different modal statuses. Consequently, indirect descriptions are semantically different from paradigmatic anaphors. Third, on the anaphoric theory, expressions of the form 'a' and the corresponding indirect descriptions of the form 'the one referred to as "a"' are intersubstitutable. But we can make an equivalent claim by using the more general semantic concepts such as equivalence and intersubstitutability, instead of using notions such as 'anaphor' and 'antecedent'. So the anaphoric theory is explanatorily idle. In this paper I argue that these objections do not pose a serious problem for the anaphoric theory of reference. I argue thereby that the anaphoric theory of reference is a promising theory which provides us with the right understanding of the expression 'refers'.

• Journal of Environmental Impact Assessment
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• v.27 no.1
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• pp.56-72
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• 2018

North Korea has been in ecologically deficit state since 1966, despite of lack of energy and food resources. Trends of the Biocapacity (BC), the Ecological Footprint (EF), and the Ecological Deficit (ED) of North Korea were shown and five factors influencing on the Overshoot Rate (OSR) which is the ratio of the BC and the EF in North Korea was analyzed in this study. The five factors consist of two factors affecting to the EF and three factors affecting to the BC in North Korea. Two of the five factors are affecting to the EF those are population, the EF per capita (EFPC) which indicates the individual environmental consumption intensity, and three are affecting to the BC those are the land area, the yield factor, and the value multiplying the equivalence factor and the intertemporal yield factor. The EF has contributed more than the BC to the OSR. From 1966 to mid-1990s, the EFPC was the most contributing factor at about 60%, and after mid-1990s, population at about 40~60%. Contribution ratio of land area and the yield factor have increased after mid-1990s up to 15% and 18%, respectively. The BC of cropland which has decreased due to a decrease in productivity. In order to reduce the ED of North Korea, improvement of productivity of cropland and restoration of forest. Forest area has decreased significantly since 1990 in NK. And ways to solve the food shortage problem which influences on decrease of both productivity of cropland and forest area.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.35 no.2
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• pp.69-76
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• 2017

The following summarizes the findings from an analysis of literature and 21 versions of the Bible published in Korea, China, and Japan to discuss the name of Myrtus communis. Myrtus communis was an important tree symbolizing love and resurrection since the Ancient Mesopotamia, Egypt, Judas, Greece, Ancient Rome, and Medieval Spain. In the Bible, Myrtus ($h{\acute{a}}das$) was used to make the booths at the Feast of Tabernacles or for various ceremonies. Myrtus symbolized the people of Israel and also symbolized peace, appreciation, indestructibility, and resurrection. In the Bible of Korea, China, and Japan, Myrtus was translated into various names by time, such as '崗拈樹', '千里香', '鳥拈', '番石榴', 桃金孃, Gamtangnamu, Seoglyunamu, Hwaseoglyu, Sogwinamu. 'Myrtle' was translated into '桃金孃' based on Japan's "熟語本位 英和中?典(1915)" and it seems that the mistake was directly excerpted by the English-Korean Dictionary(1949) after the Liberation. According to the theory of 'Dynamic Equivalence' in translation, it would be best to use 'Myrtus' was the official name of Myrtus communis.

• Journal of the Korean Institute of Gas
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• v.20 no.6
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• pp.23-30
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• 2016

The conventional natural gas engine realized lean combustion for the improved efficiency. However, in order to cope with exhaust gas regulations enforced gradually, the interest has shifted at the stoichiometric mixture combustion system. The stoichiometric mixture combustion method has the advantage of a three-way catalyst utilization whose purification efficiency is high, but the problem of thermal durability and the fuel economy remains as a challenge. Hydrogen-natural gas blend fuel (HCNG) can increase the rate of exhaust gas recirculation (EGR) because the hydrogen increases burning speed and lean flammability limit. The increase in the EGR rate can have a positive impact on heat resistance of the engine due to the decreased combustion temperature, and further can increase the compression ratio for efficient combustion. In this study, to minimize the exhaust emission developed HCNG engine with stoichiometric combustion method, developed three-way catalyst was applied to evaluate the conversion characteristics. The tests were carried out during the steady state and transient operating conditions, and the results were compared for both the conventional and proto-three-way catalyst of HCNG engine for city buses.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.93-107
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• 2014

In this paper, we report what we have observed with regard to user-perspective issue clustering based on multi-layered two-mode network analysis. This work is significant in the context of data collection by companies about customer needs. Most companies have failed to uncover such needs for products or services properly in terms of demographic data such as age, income levels, and purchase history. Because of excessive reliance on limited internal data, most recommendation systems do not provide decision makers with appropriate business information for current business circumstances. However, part of the problem is the increasing regulation of personal data gathering and privacy. This makes demographic or transaction data collection more difficult, and is a significant hurdle for traditional recommendation approaches because these systems demand a great deal of personal data or transaction logs. Our motivation for presenting this paper to academia is our strong belief, and evidence, that most customers' requirements for products can be effectively and efficiently analyzed from unstructured textual data such as Internet news text. In order to derive users' requirements from textual data obtained online, the proposed approach in this paper attempts to construct double two-mode networks, such as a user-news network and news-issue network, and to integrate these into one quasi-network as the input for issue clustering. One of the contributions of this research is the development of a methodology utilizing enormous amounts of unstructured textual data for user-oriented issue clustering by leveraging existing text mining and social network analysis. In order to build multi-layered two-mode networks of news logs, we need some tools such as text mining and topic analysis. We used not only SAS Enterprise Miner 12.1, which provides a text miner module and cluster module for textual data analysis, but also NetMiner 4 for network visualization and analysis. Our approach for user-perspective issue clustering is composed of six main phases: crawling, topic analysis, access pattern analysis, network merging, network conversion, and clustering. In the first phase, we collect visit logs for news sites by crawler. After gathering unstructured news article data, the topic analysis phase extracts issues from each news article in order to build an article-news network. For simplicity, 100 topics are extracted from 13,652 articles. In the third phase, a user-article network is constructed with access patterns derived from web transaction logs. The double two-mode networks are then merged into a quasi-network of user-issue. Finally, in the user-oriented issue-clustering phase, we classify issues through structural equivalence, and compare these with the clustering results from statistical tools and network analysis. An experiment with a large dataset was performed to build a multi-layer two-mode network. After that, we compared the results of issue clustering from SAS with that of network analysis. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The sample dataset contains 150 million transaction logs and 13,652 news articles of 5,000 panels over one year. User-article and article-issue networks are constructed and merged into a user-issue quasi-network using Netminer. Our issue-clustering results applied the Partitioning Around Medoids (PAM) algorithm and Multidimensional Scaling (MDS), and are consistent with the results from SAS clustering. In spite of extensive efforts to provide user information with recommendation systems, most projects are successful only when companies have sufficient data about users and transactions. Our proposed methodology, user-perspective issue clustering, can provide practical support to decision-making in companies because it enhances user-related data from unstructured textual data. To overcome the problem of insufficient data from traditional approaches, our methodology infers customers' real interests by utilizing web transaction logs. In addition, we suggest topic analysis and issue clustering as a practical means of issue identification.