The globalization of services is closely related to other economic problems facing the world today. These are: 1) the globalization of economic activities, 2) the servicization of economic activities. The world economy is now move interconnected than at any time in its history. Investment decisions, production processes, labor market regulations and even environmental legislation made by one country or company affect other economies, other companies and the lives of individuals. In fact, it is nearly impossible to think of a country that is not connected to the world economy in some form or another and it is no exaggeration to state that globalization is already an unassailable fact. The fabric of our economy and the way we do business are changing. This change is the transformation from a marketplace on goods to one focused on services. That is to say, we live and work in a service-centered, service-sensitive economy. As a result of the globalization an servicization of economic activities, services require the globalization, and services are increasing their international trade, foreign investment, agreements, alliances, mergers and collaboration networks. It is quite obvious that services are affected by globalization ; but raising the question by how much leads us to the paradox of service globalization, services represent 70% of the most advances economies but only account for less than 25% of international trade and almost half of direct investment; mergers and takeovers. These figures create a paradox that can be explained by two reasons. First; the natural(the service relationship) and artificial difficulties(barriers to trade) faced by the service sector that inhibits globalization. Second, the non-inclusion in official statistics of the share of internationalized goods that are due to services, for example intra-firm trade or the service value incorporated into exported goods. If these were taken into account the service trade figures would be extremely different. The first explanation can be subdivided into a number of elements. The OECD identifies six reasons:services cannot be stored; client-supplies interaction requires local presence; most service firms are SEMs; products are highly differentiated; cultural differences are especially important in this field; and, finally, trade barriers and restrictions on local operations exist. However, despite all of this, globalization produces clear advantages to suppliers. Therefore, the objective of this study is to explore the main forms of service globalization and differences between that of goods, and is to identify distinctive aspects of service globalization within the framework of the global economy.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2003.10a
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pp.292-295
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2003
This paper presents the architecture and its function of Tool server. MPEG-21 will enable all-electronic creation, delivery and trade of digital multimedia content and transparent usage of various content types on network device. Therefore, we can provide access to information and services from almost anywhere at anytime with various terminals and networks. In order to support multimedia delivery chain that contains content creation, production, delivery and consumption, we need some elements to identify, describe, manage and protect the contents. Thus, we define Digital Item Processing(DIP), Digital Item Adaptation(DIA) server and Tool server as primary objects of MPEG-21 multimedia framework. DIP provides a function which creates and consumes Digital Item(DI) as a kind of a digital object by user. DIA server adapts the original DI to the usage environment description sent from the terminal and transmits the adapted DI to the terminal. Tool sewer searches for a tool requested from DIP or DIA and downloads the best tool to DIP or DIA server. In this paper, we present how Tool server is organized and is used among 2 primary objects. The paper is structured as following: Section 1 briefly describes why MPEG-21 is needed and what MPEG-21 wants. We see the basic architecture of tool server and its functionality by each module in section 2. Section 3 explains a scenario that tool server transmits tool to DIP or DIA. The paper concludes in section 4.
Under the economic banner of "self-reliance," North Korea has focused on hydro and thermal power as its main energy supply sources. However, in the face of extreme energy penury caused by machinery and material supply instability in the wake of the collapse of the former communist block as well as equipment aging and deterioration due to floods and other disasters, North Korea and international aid organizations are increasingly turning their attention toward energy source diversification. In particular, renewable energy is recognized as the best strategic energy source for North Korea and it is a decentralized energy option that is suitable in light of North Korea's power distribution networks and its pursuit of self-reliance. Biogas can contribute to improving the human rights situation of North Koreans in conjunction with an increase in food production. For this reason, renewable energy is the most promising option for an energy source that is likely to secure humanitarian aid from international organizations such as the Food and Agricultural Organization (FAO) and the World Food Programme (WFP). However, the implementation of such humanitarian aid has been hampered by rising concerns about the diversion of provided energy materials for military purposes and the disguised introduction of dual use items strategic materials as well as UN Security Council resolutions and sanctions of the international community against North Korea's military provocation, including nuclear tests and missile launches. This paper explores the possibility of solving this dilemma and proceeding with the humanitarian aid to North Korea by evaluating the potential for sanction and the risk of diversion of the possible products for biogas-related aid on the basis of the list of UN-sanctioned items.
Journal of the Korean association of regional geographers
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v.14
no.4
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pp.290-308
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2008
The industrial development of Goryeong County was started by the operation of the Ssangrym Agro¬industrial complex in the 1980s. As of 2m3, there are 6 industrial complexes in Goryeong County which account for 80 percent of total employment and 67 percent of total production outPuts in local manufacturing. The local manufacturing industries grew steadily before the 1997 financial crisis which resulted in industrial decline and have shown again a growing tendency since 2000. In this period of growth, manufacturing outPuts are increased and the industrial structure are improved, while employment and value added are in stagnation. The major industrial agglomerations are based in Gaejin-Myun, Dasan-Myun and Ssangrym-Myun, all of which are those in which the agro-industrial complex is operated. More than half of local manufacturing finns are those which came to move in from other regions, looking for cheap labour forces, agglomeration of the related finns and the easy accessibility to transport and communication. However, such local advantages are increasingly losing due to the shortage of labour forces and the lack of industrial networks. Some policy agendas can be suggested as follows. First of all, industrial policy should attempt links with the building-up of the Daegu Technopolis and the up-grading of the local industrial structure towards the knowledge-based industries. Secondly, the local government should make efforts to establish the innovation supporting system for local firms and the industrial and residential basis.
The main aim of this article is to identify the fundamental reason for changes in the geography of Korean foreign direct investment (FDI) in China. More specifically, the article argues that changes in the industrial sectors and the location of FDI resulted from the transition of strategies for Korean FDI in China since the late 1990s is not based on ownership specific advantages, internalization advantages and locational advantages (OIL), but on changes in site where both the needs of Korea and China are articulated, i.e. the strategy for business integration, centering on market, institution and technology. In other words, changes in the location of Korean FDI in China have been the result of changes in the Chinese market structure, institutional changes in Chinese inward FDI incentives and regulations and the accumulation of Korean technology capability since 2000. In addition, by investigating production networks in China, this article attempts to identify the relationships between changes in Korean FDI location and changes in market, institution and technology. Therefore, the empirical evidence provided by the case study of CDMA (code division multiple access) mobile communications FDI since 2000 in China is used to identify the impact of market, institution and technology on the location of Korean FDI in China.
In this study, we suggested a new approach method forecasting distribution demand of urban rail transit usign fuzzy control, with intend to reflect irregularity and various functional relationship between trip length and distribution demand. To establish fuzzy control model and test this model, the actual trip volume(production, attraction and distribution volume) and trip length (space distance between a departure and arrival station) of Daegu subway line 1 were used. Firstly, usign these data we established a fuzzy control model, nd the estimation accuracy of the model was examined and compared with that of generalized gravity model. The results showed that the fuzzy control model was superior to gravity model in accuracy of estimation. Therefore, wwe found that fuzzy control was able to be applied as a effective method to predict the distribution demand of urban rail transit. Finally, to increase the estimation precision of the model, we expect studies that define membership functions and set up fuzzy rules organized with neural networks.
For cope with the participating government promoted local decentralization of the present time, local governments are coming to aim at the realization of local governance. Local governance refers to a way of solving public problems of urban area through partnership which is a collaboration and participation based on 'relationship' among diverse interested parties such as executive authority of policy, private sectors. First of all, it is most important task to make transparency and responsibility of all people and networks by themselves through sharing information. With like this kind of a background, local assembly is an momentos body of local governance because it is a decision making organization at the same time as a representative organization of local residents, and it has a relationship of 'check and balance' with chiefs of local governments as an organization monitoring and supervising the administration of an executive authority. Not the less, information about local assembly does not open to the public or exist. Even some informations open to the public, they are not enough to be settled distrust and low-valuation by civil society. Now Local assembly is face to a point that improve over all of record management. This study is based like this critical mind, then, it examines throughly local assembly's realities by suggestion with reforming plan of record management. Record can embody true values when record management practices indefatigably through prudential system from production until preservation. Accordingly, this study suggests management of transaction unit without the omission of record. Also this study is satisfy the condition of Korean record management system with proposals of record management policy and establishment of record center. At the conclusion of study, it puts effects into shape that local assembly secure transparency and responsibility and organize local governance by record management.
Natural forests are un-manned forests where the artificial forces of people are not applied to the formation of forests. On the other hand, artificial forests are managed by people for their own purposes such as producing wood, preventing natural disasters, and protecting wind. The artificial forests enable us to enhance economical benefits of producing more wood per unit area because it is well-maintained with the purpose of the production of wood. The distinction surveys have been performed due to different management methods according to forests. The distinction survey between natural forests and artificial forests is traditionally performed via airborne remote sensing or in-situ surveys. In this study, we suggest a classification method of forest types using satellite imagery to reduce the time and cost of in-situ surveying. A classification map of natural forest and artificial forest were generated using KOMPSAT-3, 3A, 5 data by employing artificial neural network (ANN). And in order to validate the accuracy of classification, we utilized reference data from 1/5,000 stock map. As a result of the study on the classification of natural forest and plantation forest using artificial neural network, the overall accuracy of classification of learning result is 77.03% when compared with 1/5,000 stock map. It was confirmed that the acquisition time of the image and other factors such as needleleaf trees and broadleaf trees affect the distinction between artificial and natural forests using artificial neural networks.
Objective: Zearalenone (ZEA) has estrogen-like effects. Our previous study has shown that ZEA (0.5 to 1.5 mg/kg) could induce abnormal uterine proliferation through transforming growth factor signaling pathway. To further study the other regulatory networks of uterine hypertrophy caused by ZEA, the potential mechanism of ZEA on porcine endometrial epithelial cells (PECs) was explored by the Illumina Hiseq 2000 sequencing system. Methods: The PECs were treated with ZEA at 0 (ZEA0), 5 (ZEA5), 20 (ZEA20), and 80 (ZEA80) µmol/L for 24 h. The collected cells were subjected to cell cycle, RNA-seq, real-time quantitative polymerase chain reaction, immunofluorescence, and western blot analysis. Results: The proportion of cells in the S and G2 phases decreased (p<0.05), but the proportion of cells in the G1 phase increased (p<0.05) in the ZEA80 treatment. Data analysis revealed that the expression of Wnt pathway-related genes, estrogen-related genes, and mitogen-activated protein kinase pathway-related genes increased (p<0.05), but the expression of genetic stability genes decreased (p<0.05) with increasing ZEA concentrations. The relative mRNA and protein expression of WNT1, β-catenin, glycogen synthase kinase 3β (GSK-3β) were increased (p<0.05) with ZEA increasing, while the relative mRNA and protein expression of cyclin D1 (CCND1) was decreased (p<0.05). Moreover, our immunofluorescence results indicate that β-catenin accumulated around the nucleus from the cell membrane and cytoplasm with increasing ZEA concentrations. Conclusion: In summary, ZEA can activate the Wnt/β-catenin signaling pathway by up-regulating WNT1 and β-catenin expression, to promote the proliferation and development of PECs. At the same time, the up-regulation of GSK-3β and down-regulation of CCND1, as well as the mRNA expression of other pathway related genes indicated that other potential effects of ZEA on the uterine development need further study.
Journal of the Korea Institute of Information and Communication Engineering
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v.26
no.6
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pp.834-841
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2022
Recently, applying artificial intelligence technologies in various fields of production has drawn an upsurge of research interest due to the increase for smart factory and artificial intelligence technologies. A great deal of effort is being made to introduce artificial intelligence algorithms into the defect detection task. Particularly, detection of defects on the surface of metal has a higher level of research interest compared to other materials (wood, plastics, fibers, etc.). In this paper, we compare and analyze the speed and performance of defect classification by combining machine learning techniques (Support Vector Machine, Softmax Regression, Decision Tree) with dimensionality reduction algorithms (Principal Component Analysis, AutoEncoders) and two convolutional neural networks (proposed method, ResNet). To validate and compare the performance and speed of the algorithms, we have adopted two datasets ((i) public dataset, (ii) actual dataset), and on the basis of the results, the most efficient algorithm is determined.
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