• Title/Summary/Keyword: low-resource problems

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Comparison of Production Structure of Purse Seine Fishery in Korea and Norway (우리나라와 노르웨이의 선망어업 현황 및 생산구조 비교)

  • Kim, Dae-Young
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.1
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    • pp.308-318
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    • 2015
  • In order to improve the competitiveness of Korean large purse seine fishery, the purpose of this study is to find out the problems and present the improvement of the production structure of Korean large purse seine fishery by comparing to the production structure of Norwegian purse seine fishery. Norwegian purse seine fishery has been operating labor and energy-saving systems through a single wire operation and avoiding fishing competition through the introduction of IVQ system with different types of fishing vessel and obtaining benefits from Leading fishery management integrated with fish pumps and cooling water systems. In contrast, our country has a large purse seine fishery issues such as high cost and low efficiency of production structures, the volatility of mackerel resources, the lack of leading fishery management after catching fishes, the reduction of fishing ground in accordance with the North East Asia EEZ system. To solve these problems, initiatives to improve the structure of our large purse seine fishery are as follows: First, Implementing the promotion of the effective immature fishes management and establishing Korea-China-Japan resource management system. Second, the promotion of reduction of fleet size, the review of possible single fishing operation, leading out to strengthen its competitiveness by switching to energy-efficient production systems through enhanced efforts at fisheries catches steps. Third, it is necessary to realize corporate through the diversification of business areas and the large-scale commercialization of production structure.

A Case Study on Server Consolidation of Public Organizations: Concentrated on NDMS (공공기관의 서버통합 사례연구: NDMS를 중심으로)

  • Na, Kwan-Sik
    • Journal of Information Technology and Architecture
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    • v.9 no.1
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    • pp.67-78
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    • 2012
  • Organizations have many physical servers in their departments such as application servers, web servers, database servers, mail servers, and so forth. The problem of server sprawl is common in information system centers of most profit and nonprofit organizations. Server sprawls are characterized by the use of dedicated servers for single applications. This server sprawl causes the problems such as the low resource utilization, the large space consumption, and the high management cost. Server consolidation is crucial to solve these problems by providing savings in hardware, software, maintenance, facility, and labor costs. This paper proposed a method to implement server consolidation for public organizations by the NDMS(National Disaster Management Systems) case study.

Investigating Keynesian Theory in Reducing Unemployment and Poverty in Indonesia

  • PRASETYO, P. Eko;CAHYANI, E. Nur
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.10
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    • pp.39-48
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    • 2022
  • This research aims to investigate the application of Keynes's theory in Indonesia, particularly in solving unemployment and poverty problems through government spending, economic growth, and human resource capacity. The basic concepts of the Keynesian theory were used as a method, through which government spending was harnessed toward economic growth in reducing unemployment and poverty rate. The analytical materials used were panel data for the 2017-2021 period in Central Java, Indonesia. The analytical methodology used was a multiple regression experimental design in selecting the best model according to Keynes's theory, especially for overcoming formidable problems. The main results showed that large Government spending program is ineffective in encouraging pro-growth, pro-job, pro-poor, and pro-equity development policy strategies. The causes of this failure include the violation of Keynes' assumptions about rationality and the low quality of education investment, which do not encourage productive and innovative entrepreneurship, as well as self-employment opportunities. As a result, government spending, including subsidies and direct financial assistance, used to implement the macroeconomic monetary, unstructured, and fiscal policy system is insufficient to significantly reduce the enormous difficulties. The main research results confirm that human capital capacity is the key to mitigating and reducing unemployment and poverty.

A Study of Divorce Adjustment of Divorced Men and Women in their 20s and 30s -focus on Life Satisfaction and Health- (20, 30대 이혼 남녀의 이혼 후 적응에 영향을 미치는 변수)

  • Ok Sun Wha;Sung Miai
    • Journal of the Korean Home Economics Association
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    • v.42 no.11
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    • pp.167-187
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    • 2004
  • This study investigated the post-divorce adjustment level, by focusing on life satisfaction, health, stress and resource factors, for divorced men and women in their 20s and 30s. Also, it examined how these factors affect life satisfaction and health. For this empirical analysis, data were collected from 114 divorced men and 112 divorced women, living in the Seoul metropolitan area, from 23rd Sep. to 20th Oct., 2002. The questionnaire for the survey dealt with demographic information, life satisfaction, health, stress and resource factor scales. The major findings of the research project were as follows.: first, the life satisfaction and health levels of the divorced men and women were low. Especially, divorced women had more physical and psychological problems than men. Second, the divorced men's satisfaction was affected by pre-divorce life events and education level, whereas the divorced women's satisfaction was affected by subjective economic dissatisfaction, pre-divorce tfe events, everyday life level when they were divorced, and social support. Finally, the attitude toward divorce of significant others and pre-divorce life events were important variables for the divorced men's health, whereas attachment toward ex-spouse, pre-divorce life events, pre-divorce marital conflict and social support were affectable variables for the divorced women's health. The results of current research are expected to contribute to the divorce adjustment programs according to gender.

A Mass-Processing Simulation Framework for Resource Management in Dense 5G-IoT Scenarios

  • Wang, Lusheng;Chang, Kun;Wang, Xiumin;Wei, Zhen;Hu, Qingxin;Kai, Caihong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.9
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    • pp.4122-4143
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    • 2018
  • Because of the increment in network scale and test expenditure, simulators gradually become main tools for research on key problems of wireless networking, such as radio resource management (RRM) techniques. However, existing simulators are generally event-driven, causing unacceptably large simulation time owing to the tremendous number of events handled during a simulation. In this article, a mass-processing framework for RRM simulations is proposed for the scenarios with a massive amount of terminals of Internet of Things accessing 5G communication systems, which divides the time axis into RRM periods and each period into a number of mini-slots. Transmissions within the coverage of each access point are arranged into mini-slots based on the simulated RRM schemes, and mini-slots are almost fully occupied in dense scenarios. Because the sizes of matrices during this process are only decided by the fixed number of mini-slots in a period, the time expended for performance calculation is not affected by the number of terminals or packets. Therefore, by avoiding the event-driven process, the proposal can simulate dense scenarios in a quite limited time. By comparing with a classical event-driven simulator, NS2, we show the significant merits of our proposal on low time and memory costs.

Quilitative certificational plan of chenpi (진피(陳皮)의 품질인증(品質認證) 방안(方案))

  • Hyun, Jong-Uk;Roh, Seong-Soo;Kil, Ki-jeong;Seo, Bu-il;Seo, Young-Bae
    • Journal of Haehwa Medicine
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    • v.13 no.2
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    • pp.197-204
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    • 2004
  • Now many sustitution and false articles is used in korea instead of chenpi. To use chenpi correctly, we will make a quilitative certificational plan of chenpi to investigate all of lieraturea, records and documents. And we could reach conclusions as folloews. 1) Source In china source of Chen-pi is pericarp of citrus reticula Blanco(Family;rutaceae)and in korea source of Chen-pi is pericarp of citrus unshiu Markovich(Family;rutaceae). Though source of both countries are not same, it has no problems because of containing family plants and culture variants. 2) Harvesting and processing After the peel attained full growth, wash cleanly in water. And dry in shade or in low temporature at state of eliminating pericarp. 3) Quality (1) Functional standards Exocarp is soft and clear yellow with numerous oil sports. The less white mesocarp is the better. (2) Physicochemical standards We need to suggest new standards about hesperidin to various conditions by processing methods and storing time. The loss on drying is less than 13.5%. Ash content is less than 4.0%. A standard capacity of hesperidin is more than 4.0%. The content of heavy metal is less than 30 ppm. We can not detect reminding agricultural medicines.

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Resource Allocation Algorithm for IoT Distributed Processing (IoT 분산 처리를 위한 자원 할당 알고리즘)

  • Yu, Donggyun;Jeong, Dohyeong;Choi, Hyungwook;Lim, Jaedon;Jung, Hoekyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.723-724
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    • 2017
  • Recently, researches are being conducted to build a smart environment using various sensors and devices and to provide customized services to users through inter object communication. However, the existing system utilizes a centralized method of transmitting measured sensor data in real time to the server and processing it in batches and As the system is expanded, there is a problem that a high-end server must be configured. In this paper, we design a Resource Allocation Algorithm for IoT distributed processing environment to solve these problems. The resources required for the device to operate are transferred to the server and the server allocates resources in comparison to the task in progress. Therefore, it is expected that the data throughput of the server will be reduced and various devices can be configured in a server having a low specification.

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Cognitive Virtual Network Embedding Algorithm Based on Weighted Relative Entropy

  • Su, Yuze;Meng, Xiangru;Zhao, Zhiyuan;Li, Zhentao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.1845-1865
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    • 2019
  • Current Internet is designed by lots of service providers with different objects and policies which make the direct deployment of radically new architecture and protocols on Internet nearly impossible without reaching a consensus among almost all of them. Network virtualization is proposed to fend off this ossification of Internet architecture and add diversity to the future Internet. As an important part of network virtualization, virtual network embedding (VNE) problem has received more and more attention. In order to solve the problems of large embedding cost, low acceptance ratio (AR) and environmental adaptability in VNE algorithms, cognitive method is introduced to improve the adaptability to the changing environment and a cognitive virtual network embedding algorithm based on weighted relative entropy (WRE-CVNE) is proposed in this paper. At first, the weighted relative entropy (WRE) method is proposed to select the suitable substrate nodes and paths in VNE. In WRE method, the ranking indicators and their weighting coefficients are selected to calculate the node importance and path importance. It is the basic of the WRE-CVNE. In virtual node embedding stage, the WRE method and breadth first search (BFS) algorithm are both used, and the node proximity is introduced into substrate node ranking to achieve the joint topology awareness. Finally, in virtual link embedding stage, the CPU resource balance degree, bandwidth resource balance degree and path hop counts are taken into account. The path importance is calculated based on the WRE method and the suitable substrate path is selected to reduce the resource fragmentation. Simulation results show that the proposed algorithm can significantly improve AR and the long-term average revenue to cost ratio (LTAR/CR) by adjusting the weighting coefficients in VNE stage according to the network environment. We also analyze the impact of weighting coefficient on the performance of the WRE-CVNE. In addition, the adaptability of the WRE-CVNE is researched in three different scenarios and the effectiveness and efficiency of the WRE-CVNE are demonstrated.

ZigBee Security Using Attribute-Based Proxy Re-encryption

  • Seo, Hwajeong;Kim, Howon
    • Journal of information and communication convergence engineering
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    • v.10 no.4
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    • pp.343-348
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    • 2012
  • ZigBee Network is enabling technology for home automation, surveillance and monitoring system. For better secure network environment, secure and robust security model is important. The paper proposes an application, attribute-based proxy re-encryption on ZigBee networks. The method can distribute the authority to designated sensor nodes to decrypt re-encrypted ciphertext with associated attributes. However, a previous method is required to compute complex pairing operations. The high complexity is not suited to low resource device sensor networks, and it does not provide routing security either. To resolve these problems, we present a novel mechanism. The method can reduce overhead by imposing overhead to full function devices and ensure routing paths as well.

Extended Proportional Fair Scheduling for Statistical QoS Guarantee in Wireless Networks

  • Lee, Neung-Hyung;Choi, Jin-Ghoo;Bahk, Sae-Woong
    • Journal of Communications and Networks
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    • v.12 no.4
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    • pp.346-357
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    • 2010
  • Opportunistic scheduling provides the capability of resource management in wireless networks by taking advantage of multiuser diversity and by allowing delay variation in delivering data packets. It generally aims to maximize system throughput or guarantee fairness and quality of service (QoS) requirements. In this paper, we develop an extended proportional fair (PF) scheduling policy that can statistically guarantee three kinds of QoS. The scheduling policy is derived by solving the optimization problems in an ideal system according to QoS constraints. We prove that the practical version of the scheduling policy is optimal in opportunistic scheduling systems. As each scheduling policy has some parameters, we also consider practical parameter adaptation algorithms that require low implementation complexity and show their convergences mathematically. Through simulations, we confirm that our proposed schedulers show good fairness performance in addition to guaranteeing each user's QoS requirements.