The Journal of Korean Institute of Communications and Information Sciences
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v.29
no.7B
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pp.613-627
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2004
In this paper, we propose an Aggregate Fairness Maker (ARM) required for an Edge router to improve fairness of throughput among the flows of Assured Service in DiffServ with different round trip time (RTT) and we propose a user flow Three Color Marker (uf-TCM) as a flow marker that marks packets from the flow as green, yellow, or red. A yellow packet is the packet that consumes loss token in uf-TCM as well as that is demoted green packet in AM due to disobey the aggregate traffic profile. The proposed AFH promotes yellow packet to green packet or demotes green packet to yellow packet through the fair method without per-flow management, and it improves the feirness of throughput among the flows as well as link utilization. A yellow packet and a red packet have the same drop precedence at Core Router in our scheme. So we can use the RIO buffer management scheme. We evaluated the performance of our proposed AFM and the REDP Marker that was proposed to improve fairness without per-flow management. Simulation results show that, compared with the REDP marker, proposed AFM can improve performance of throughput fairness among the flows with different RTT and link utilization under the over-provisioning, exact-provisioning, and under-provisioning network environments at Multiple DiffServ domains as well as at Single DiffServ domain.
Telemedicine, which gives or receives medical information via ICT (information and communication technology), is regarded as innovation in a medical field and its application is various according to offline conditions. For example, the utilization of telemedicine in Korea is unfair because of the administrative discretion, which is the basic unit of telemedicine for its practical operation, in spite of the same diagnostic area. With this mind, this study investigates the cause of regional differences of telemedicine through a case of Kangwon province. Furthermore, the crucial matter is that regional differences of telemedicine are associated with digital divide; therefore, this research considers digital divide triggered by telemedicine. The core results are as follows. First, there are little measures such as increase of the staff, economic compensation for public officials, education of telemedicine facilities; accordingly, only regions, where can accept these insufficient conditions, manage the telemedicine system. Second, the interesting of a mayor or a governor and a head of a health center as a highest decision maker has something to do with different utilization of telemedicine. Third, public health doctors play a role as practical operators in telemedicine, but their stance is skeptic about telemedicine somewhat because of the relationship with the medical association opposing the implementation of telemedicine, unimproved regional health care condition, etc. Forth, it seems that the digital divide caused by the regional differences of the present telemedicine utilization does not led to tangible results and is not turned to another disparity so far, the proper measures are required considering that various health care services based on telemedicine will be extended.
Journal of the Economic Geographical Society of Korea
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v.7
no.2
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pp.203-225
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2004
The purpose of this paper analyzes the characteristics of economic space in Gyeonggi border regions. Especially, this study focuses on understanding the environment enveloped the enterprises because today, largely influenced factor for regional economic development is enterprises. Since 1990's the change of the spacial organization in Korean Capital region has been inducing the functional transformation in Gyeonggi border regions so that new function -beyond military functions- is developed in these regions. By the disindustrialization in core region contributed to the industrialization in periphery, border regions are developed as a concentrated space of traditional industries and small size manufactural firms. The most important pull factor is facility for obtain a factory site and favorable condition of land price. Globally, the reasons to locate enterprise in these regions are found not in positive and progressive strategies but in passive and defensive strategies. Therefore few enterprise carried about influences of economic cooperation between North and South Korea at the moment of decision of their site. The survey reveal that enterprises didn't highly estimate the environment in border regions as their business activities. The first dissatisfied condition is insufficiency of labour and difficulty of access for administrative and high level services, due to geographical separation. Considering the recent tendency of spacial reorganization in Capital region is not always good for border regions, border regions have to employ a policy with the object of ameliorating regional business environments and growing up a potentiality of endogenous development.
Kim Hyeong Hwan;Choo Ho Yul;Lee Dong Won;Lee Heung Su;Jeon Heung Yong;Ha Pan Jung
Korean journal of applied entomology
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v.43
no.3
s.136
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pp.233-239
/
2004
The potential of five entomopathogenic nematodes, Steinernema carpocapsae Pocheon strain, S. logicaudum Nonsan strain, S. glaseri Dongrae strain, Heterorhabditis bacteriophora Hamnyang strain, and Heterorabditis sp. Gyeongsan strain were evaluated as biological control agents against a mushroom fly, Mycophila speyeri in the mushroom, Pleurotus ostreatus cultivation house. Control effect of M. speyeri was significantly different according to nematode species. Heterorhabditis was more effective than Steinernema. H. bacteriophora Hamnyang strain showed the highest control effect representing $49.0\%$ (7 days), $89.5\%$ (14 days) and $89.1\%$ (21 days post-treatment) at the rate of $1\times10^6$ and $46.5\%$ (7 days), $76.6\%$ (14 days) and $85.4\%$ (21 days post-treatment) at the rate of $1.0\times10^5$ Ijs/$1.5 m^2$ in Changnyoung, Gyeongnam, respectively. In Jinju, Gyeongnam, control effects of the sa me species were $54.0\%$ (7 days), $74.5\%$ (14 days), and $79.8\%$ (21 days post-treatment) at the rate of $1\times10^6$ and $49.0\%$ (7 days), $76.6\%$ (14 days), and $61.1\%$ (21 days post-treatment) at the rate of $1.0\times10^5$ Ijs/$1.5 m^2$, respectively.
Cyber penetration attacks can not only damage cyber space but can attack entire infrastructure such as electricity, gas, water, and nuclear power, which can cause enormous damage to the lives of the people. Also, cyber space has already been defined as the fifth battlefield, and strategic responses are very important. Most of recent cyber attacks are caused by malicious code, and since the number is more than 1.6 million per day, automated analysis technology to cope with a large amount of malicious code is very important. However, it is difficult to deal with malicious code encryption, obfuscation and packing, and the dynamic analysis technique is not limited to the performance requirements of dynamic analysis but also to the virtual There is a limit in coping with environment avoiding technology. In this paper, we propose a machine learning based malicious code analysis technique which improve the weakness of the detection performance of existing analysis technology while maintaining the light and high-speed analysis performance applicable to commercial endpoints. The results of this study show that 99.13% accuracy, 99.26% precision and 99.09% recall analysis performance of 71,000 normal file and malicious code in commercial environment and analysis time in PC environment can be analyzed more than 5 per second, and it can be operated independently in the endpoint environment and it is considered that it works in complementary form in operation in conjunction with existing antivirus technology and static and dynamic analysis technology. It is also expected to be used as a core element of EDR technology and malware variant analysis.
With business environments around the world facing uncertainty and complexity, companies have focused on supply chain management as one of the essential elements in securing a competitive advantage. Successful supply chain management requires internal efforts to strengthen the core competencies of the company and the integration of individual functions in the supply chain. This study aims to investigate the effect of information sharing between companies on supply chain integration and corporate performance. The research hypothesis established in previous studies was analyzed using structural equation modeling. A total of 723 questionnaire responses were used to test the hypotheses of this study. We found that the integration and sharing of information between companies have a great influence on supply chain integration, which has positive effects on corporate performance at the operational and strategic levels, including finance, market share, and customer satisfaction. The integration of supply chains via information integration and sharing between companies can promote the flow of information, services, goods, and money. Therefore, if information is disconnected between actors in the supply chain, it will lead to negative effects on the management of the entire supply chain. On the other hand, if supply chain actors can share information efficiently in real time on one platform, they can expect to optimize the entire supply chain. Information sharing and integration at the strategic and operational levels play a vital role in supply chain integration, which contributes to achieving a company's performance targets and enhancing its competitiveness.
Objectives: The purpose of the study is to investigate and analyzed the current status of a dental hygiene curriculum according to the dental hygienist competency. Methods: The study subjects were 59 courses in the department of dental hygiene in G University from April 1 to May 30, 2015. Except for liberal arts, 51 courses were finally selected and analyzed for the relationship between the curriculum and competency. For each course, systematic reviews were made by subject name, core competency, achievement goals, lecture hours, weekly themes, and learning goals. Three experts in the dental hygiene evaluated and analyzed the association of competency and goals. Results: Each course was operated by the goal from one to twenty two competencies of dental hygiene. Achieving one item of competency in a course required 13 hours on the average from minimum 2 hours to maximum 30 hours. More than 20 courses were operated and more than 900 hours were necessary for achieving the competency. The competency included the contents of 'Be able to utilize basic medical and dental knowledge in dental hygiene care and patient care' among the dental hygiene competencies. Conclusions: Competency based dental hygiene education will provide theoretical background for defining the identity of dental hygienist as a health care worker and to encourage professionals who contribute to the recognition of healthy society. Further research should be continued for improving the competency-based dental hygiene curriculum and education methods for implementing the curriculum within the paradigm of health care services.
Purpose: This preliminary study is aimed at developing standardized tools for psycho-social assessment of patients in needs for hospice/palliative care. To accomplish the purpose, investigators examined effects of perceptions of social workers on the importance of psycho-social domains of assessment in hospice/palliative care settings. Moreover, investigators paid attention to variances of perceptions of social workers' along with types of institution and credentials of those family settings. Methods: A form of questionnaire was first explored from an initial interview assessment of 10 government-certified hospice care providers and a literature review, second constructed with eight domains and 80 items, and sent by e-mail to 55 institutions and hospitals providing hospice/palliative cares in Korea. Lastly, a total of 31 agencies returned with a completed responses and consent form (56% response rate). SPSS program (version 18.0) was used for data analysis. Results: Study found that social workers perceived patients' family background (m=4.53, 5-point scale) as the most important assessment domain, whereas economic conditions (4.06 point) the least important. Social workers' perception varied by credentials (i.e., license types, training, full-time position, types of care facility). Conclusion: Based upon study findings, investigators can conclude strong needs for developing a assessment tool that measures multiple domains (i.e., psychological, social and ecological aspects) of patients. A standardized assessment tool should be structured with 2 axis (center/core and expanded/peripheral) and tailored for institution type. Second, professional trainings must be provided by strengthening legal institutionalization and fostering qualified social workers with full responsibilities of hospice and palliative care patients.
Various networks can be observed in the world. Knowledge networks which are closely related with technology and research are especially important because these networks help us understand how knowledge is produced. Therefore, many studies regarding knowledge networks have been conducted. The assortativity coefficient represents the tendency of connections between nodes having a similar property as figures. The relevant characteristics of the assortativity coefficient help us understand how corresponding technologies have evolved in the keyword-based patent network which is considered to be a knowledge network. The relationships of keywords in a knowledge network where a node is depicted as a keyword show the structure of the technology development process. In this paper, we suggest two hypotheses basedon the previous research indicating that there exist core nodes in the keyword network and we conduct assortativity analysis to verify the hypotheses. First, the patents network based on the keyword represents disassortativity over time. Through our assortativity analysis, it is confirmed that the knowledge network shows disassortativity as the network evolves. Second, as the keyword-based patents network becomes disassortavie, clustering coefficients become lower. As the result of this hypothesis, weconfirm the clustering coefficient also becomes lower as the assortative coefficient of the network gets lower. Another interesting result concerning the second hypothesis is that, when the knowledge network is disassorativie, the tendency of decreasing of the clustering coefficient is much higher than when the network is assortative.
Journal of Korea Spatial Information System Society
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v.8
no.2
s.17
/
pp.53-73
/
2006
Recently, the need for Location-Based Services (LBS) has increased due to the development of mobile devices, such as PDAs, cellular phones and GPS. As a moving object database that stores and manages the positions of moving objects is the core technology of LBS, the scheme for maintaining the main memory DBMS to the server is necessary to store and process frequent reported positions of moving objects efficiently. However, previous works on a moving object database have studied mostly a disk based moving object index that is not guaranteed to work efficiently in the main memory DBMS because these indexes did not consider characteristics of the main memory. It is necessary to study the main memory index scheme for a moving object database. In this paper, we propose the main memory index scheme based on the R-tree for storing and processing positions of moving objects efficiently in the main memory DBMS. The proposed index scheme, which uses a growing node structure, prevents the splitting cost from increasing by delaying the node splitting when a node overflows. The proposed scheme also improves the search performance by using a MergeAndSplit policy for reducing overlaps between nodes and a LargeDomainNodeSplit policy for reducing a ratio of a domain size occupied by node's MBRs. Our experiments show that the proposed index scheme outperforms the existing index scheme on the maximum 30% for range queries.
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