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Designing Requisite Techniques of Storage Structuresupporting Efficient Retrieval in Semantic Web (시멘틱 웹의 효율적 검색을 지원하는 저장 구조의 요소 기술 설계)

  • Shin Pan-Seop
    • Journal of the Korea Computer Industry Society
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    • v.7 no.3
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    • pp.227-236
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    • 2006
  • Semantic Web is getting popular to next web environment. Additionally, ontology language research is also activating to represent semantic relation of resource in semantic web. Specially, Ontology language as RDF and DAML+OIL appear on start point of research. But Ontology Language limited to describing characters of resource and to making a clear definition of relation of resource. So W3C suggest OWL at the next standard language for describing resource. OWL supply the lack of representation for RDF and RDF Schema. In this paper, we make Ontology to implement Online Retrieval System using OWL and propose the structure of storing Ontology document at the RDB. The structure support characters of OWL that are equivalent relationship, heterogeneous relationship, inverse relationship, union relationship and one of relationship between classes or properties. In this paper, we classify the extended elements for OWL from RDF Schema. And we propose the method of storing OWL using RDB for interoperability with many applications based on RDB. Finally, implement the storage and retrieval system based on OWL to provide advanced search function.

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Is Carbon Neutral Policy Compatible with Sustainable Economic Growth? (탄소중립은 지속가능한 경제성장과 양립하는가?)

  • Park, Hojeong
    • Environmental and Resource Economics Review
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    • v.30 no.2
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    • pp.347-364
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    • 2021
  • Carbon neutral policy in Korea pays limited attention to the concept of sustainable economic growth. This limitation can be compared with other countries' carbon neutral policies such as US, UK and China where the climate change policies are closely connected to economic policies to boost further economic growth. This paper adopts a Ramsey growth model to account for the impact of carbon neutral policy on long-term economic growth and the accumulation capital. The model incorporates the Hartwick rule to allow sustainability of economic growth by transforming resource input into other input factor for growth. The analysis provides a possibility of low accumulation of capital as a result of carbon neutral policy in the absence of effective transformation of fossil-fuel factor into growth-related productive capital. Such low capital stock can be more aggravated when there exists a rent-seeking behavior of various interest groups with voracity to exploit social capital.

An Inference System Using BIG5 Personality Traits for Filtering Preferred Resource

  • Jong-Hyun, Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.9-16
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    • 2023
  • In the IoT environment, various objects mutually interactive, and various services can be composed based on this environment. In the previous study, we have developed a resource collaboration system to provide services by substituting limited resources in the user's personal device using resource collaboration. However, in the preceding system, when the number of resources and situations increases, the inference time increases exponentially. To solve this problem, this study proposes a method of classifying users and resources by applying the BIG5 user type classification model. In this paper, we propose a method to reduce the inference time by filtering the user's preferred resources through BIG5 type-based preprocessing and using the filtered resources as an input to the recommendation system. We implement the proposed method as a prototype system and show the validation of our approach through performance and user satisfaction evaluation.

Role and functions of micro and macro-minerals in swine nutrition: a short review

  • Vetriselvi Sampath;Shanmugam Sureshkumar;Woo Jeong Seok;In Ho Kim
    • Journal of Animal Science and Technology
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    • v.65 no.3
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    • pp.479-489
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    • 2023
  • Livestock production depends on the utilization of nutrients, and when this is accomplished, there is accelerated momentum toward growth with a low cost-to-feed ratio. Public concern over the consumption of pork with antibiotic residues in animals fed antibiotic growth promoters (AGP) has paved the way for using other natural additives to antibiotics, such as herbs and their products, probiotics, prebiotics, etc. Numerous feed additives are trending to achieve this goal, and a classic example is vitamins and minerals. Vitamins and minerals represent a relatively small percentage of the diet, but they are critical to animal health, well-being, and performance; both play a well-defined role in metabolism, and their requirements can vary depending on the physiological stage of the animals. At the same time, the absence of these vitamins and minerals in animal feed can impair the growth and development of muscles and bones. Most commercial feeds contain vitamins and trace minerals that meet nutrient requirements recommended by National Research Council and animal feeding standards. However, the potential variability and bioavailability of vitamins and trace elements in animal feeds remain controversial because daily feed intake varies, and vitamins are degraded by transportation, storage, and processing. Accordingly, the requirement for vitamins and minerals may need to be adjusted to reflect increased production levels, yet the information presented on this topic is still limited. Therefore, this review focuses on the role and function of different sources of minerals, the mode of action, the general need for micro and macro minerals in non-ruminant diets, and how they improve animal performance.

Analyzing Soybean Growth Patterns in Open-Field Smart Agriculture under Different Irrigation and Cultivation Methods Using Drone-Based Vegetation Indices

  • Kyeong-Soo Jeong;Seung-Hwan Go;Kyeong-Kyu Lee;Jong-Hwa Park
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.45-56
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    • 2024
  • Faced with aging populations, declining resources, and limited agricultural productivity, rural areas in South Korea require innovative solutions. This study investigated the potential of drone-based vegetation indices (VIs) to analyze soybean growth patterns in open-field smart agriculture in Goesan-gun, Chungbuk Province, South Korea. We monitored multi-seasonal normalized difference vegetation index (NDVI) and the normalized difference red edge (NDRE) data for three soybean lots with different irrigation methods (subsurface drainage, conventional, subsurface drip irrigation) using drone remote sensing. Combining NDVI (photosynthetically active biomass, PAB) and NDRE (chlorophyll) offered a comprehensive analysis of soybean growth, capturing both overall health and stress responses. Our analysis revealed distinct growth patterns for each lot. LotA(subsurface drainage) displayed early vigor and efficient resource utilization (peaking at NDVI 0.971 and NDRE 0.686), likely due to the drainage system. Lot B (conventional cultivation) showed slower growth and potential limitations (peaking at NDVI 0.963 and NDRE 0.681), suggesting resource constraints or stress. Lot C (subsurface drip irrigation) exhibited rapid initial growth but faced later resource limitations(peaking at NDVI 0.970 and NDRE 0.695). By monitoring NDVI and NDRE variations, farmers can gain valuable insights to optimize resource allocation (reducing costs and environmental impact), improve crop yield and quality (maximizing yield potential), and address rural challenges in South Korea. This study demonstrates the promise of drone-based VIs for revitalizing open-field agriculture, boosting farm income, and attracting young talent, ultimately contributing to a more sustainable and prosperous future for rural communities. Further research integrating additional data and investigating physiological mechanisms can lead to even more effective management strategies and a deeper understanding of VI variations for optimized crop performance.

The Exploratory study of Capacity Building for Creative Incubation Center: Focus on the University Business Incubator (창조적 보육센터 역량강화 방안에 관한 탐색적 연구: 대학 보육센터를 중심으로)

  • Choi, Jong-in;Byun, YoungJo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.2
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    • pp.135-144
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    • 2016
  • Korean government has invested about 400 million dollars to the business incubator using the facilities and human resources of universities and research institutes and successfully operated to contribute the economic development(1.6 billion dollars sales, 5,500 companies) and job creation(16,000 employee) in the end of 2013. Although incubators have grown rapidly, there is limited performance, like a hardware centered support, limited exploitation of resource in the university, less collaboration with the community, less star companies. This research provide a alternative capacity building direction based on the creativity and resource dependence theory. Specifically this paper suggest a building creative incubating center, traversing the valley of death, accelerator for the CPM(Capability, Product, Market) linkage, organic implementation of university resources.

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Resource Allocation and Control System for VoIP QoS Provision in Cognitive Radio Networks (인지 무선네트워크에서 VoIP QoS 보장을 위한 자원 할당 및 제어 시스템)

  • Kim, Bosung;Lee, Gyu-Min;Roh, Byeong-Hee;Choi, Geunkyung;Oh, Ilhyuk
    • KIISE Transactions on Computing Practices
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    • v.20 no.12
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    • pp.688-693
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    • 2014
  • With the advent of ubiquitous environments, the smart phone has come into wide use and the demand for various content increases. Thus, in order to efficiently utilize limited resources cognitive radio technology is regarded as a possible solution. Besides spectrum sensing or access schemes, the provision of VoIP traffic service for secondary users with limited spectrum resources is a very important issue. In this paper, a resource allocation and control system for VoIP QoS provision in cognitive radio networks is proposed. Firstly, as the system model, the time structure of the network is addressed and, according to the structure, a bandwidth broker is proposed. In addition, based on available bandwidth estimated by the bandwidth broker, a connection admission control for secondary users is developed. It is demonstrated that the provision of VoIP QoS is greatly affected by channel utilization, the number of channels, and the length of timeslot.

An Out of Core Linear Direct Solution Method for Large Scale Structural Analysis (대규모 구조해석을 위한 보조기억장치 활용 선형 직접해법)

  • Kim, Min-Ki;Kim, Seung Jo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.6
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    • pp.445-452
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    • 2014
  • This paper discusses the multifrontal direct solution method with out of core storage for large scale structural analysis in a limited computing resource. Large scale structural analysis requires huge amount of memory space and computation, so out of core solution method is needed in limited computing resource. In this research, out of core multifrontal solution algorithm which utilize the small size of physical memory and minimize the amount of access of low speed out of core storage is introduced. Three ideas, which are stack space in lower trianglar part of square factorization matrix, inverse stack data structure and selective data caching and recovery by data block size, are proposed.

QoS-Oriented User Association in HetNet with a Backhaul Constraint (백홀 용량이 제한된 이기종 네트워크에서 QoS를 고려한 셀 선택 기법)

  • Yang, Chan S.;Kang, Chung G.
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.10
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    • pp.654-663
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    • 2014
  • Heterogeneous network (HetNet) with the various types of cells, e.g., with the different cell size and transmit power, has been introduced to improve the cell coverage and areal capacity in cellular mobile communication system. In this paper, we consider a practical situation in which all cells share the same wireless resource while some of them have a limited backhaul capacity. More specifically, we formularize a cell association problem that utilizes the minimum wireless resource while satisfying the quality of service (QoS) of all users in terms of their transmission time constraint, and propose a distributed algorithm to find the optimal solution. In the event of bottleneck at the backhaul link in some small cells, the proposed algorithm off-loads some users to the adjacent cell with the less congested backhaul capacity. Finally, we verify that the proposed algorithm supports the more numbers of users to satisfy the specified level of QoS than the conventional user association scheme under the limited access and backhaul capacities.

A Method to Manage Local Storage Capacity Using Data Locality Mechanism (데이터 지역성 메커니즘을 이용한 지역 스토리지 용량 관리 방법)

  • Kim, Baul;Ku, Mino;Min, Dugki
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.324-327
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    • 2013
  • Recently, due to evolving cloud computing technology, we can easily and transparently utilize both local computing resource and remote computing resource in real life. Especially, enhancing smart device technologies and network infrastructures promote an increase of needs to share files between local smart devices and cloud storages. However, since smart devices have a limited storage space, storing files on cloud storage causes a starvation problem of local storage. It means that users can face a storage-lack problem even a cloud storage service provide a huge file storing space. In this research, we propose a method to manage files between smart devices and cloud storages. Our approach calculate file usage pattern based on recently used date, and then this approach determines local files being migrated. As a result, our approach is sufficient for handling data synchronization between big data storage farm and local thin client which contains limited storage space.

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