• 제목/요약/키워드: Heterogeneous Container Types

검색결과 4건 처리시간 0.016초

The effect of soil heterogeneity and container length on the growth of Populus euramericana in a greenhouse study

  • Rahman, Afroja;Meng, Loth;Han, Si Ho;Seo, Gi Chun;Jung, Mun Ho;Park, Byung Bae
    • 농업과학연구
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    • 제45권2호
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    • pp.143-153
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    • 2018
  • Soil characteristics along with various container lengths have an important role in the early survival rate and growth of seedlings by influencing the seedling quality. This experiment was conducted to investigate the effect of container length and different soil mixtures on the growth of poplar in a greenhouse. Two types of soil, homogeneous vs. heterogeneous, were used along with two container lengths (30 vs. 60 cm). The heterogeneous soil was made by dividing 50% vermiculite from a mixture of 25% vermicompost and 25% nursery soil in volume. For the homogeneous soil, the above three soil types were mixed together. Populus euramericana clone cuttings were planted in late April, and then, the growth height, root collar diameter (RCD) and biomass were measured in August. The height of the poplar was not significantly affected by container length and soil type, but the RCD was significantly affected by soil type. Leaf and root biomass was higher at the long container than at the short container for both soil treatments, but stem biomass was lower at the heterogeneous soil than at the homogeneous soil treatment. Root to shoot biomass ratio was higher at the heterogeneous soil treatment than at the homogeneous soil treatment by 12%. In conclusion, heterogeneous soil along with a long container is suitable to increase the carbon allocation into the root.

납품시간창과 다종의 컨테이너를 고려한 동적 로트크기결정 및 아웃바운드 디스패칭 문제 (A Dynamic Lot-Sizing and Outbound Dispatching Problem with Delivery Time Windows and Heterogeneous Container Types)

  • 서원철;이운식
    • 대한산업공학회지
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    • 제40권4호
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    • pp.435-441
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    • 2014
  • This paper considers a single-product problem for inbound lot-sizing and outbound dispatching at a third-party warehouse, where the demand is dynamic over the discrete time horizon. Each demand must be delivered into the corresponding delivery time window which is the time interval characterized by the earliest and latest delivery dates of the demand. Ordered products are shipped by heterogeneous container types. Each container type has type-dependent carrying capacity and the unit freight cost depends on each container type. Total freight cost is proportional to the number of each container type used. Also it is assumed that related cost functions are concave and backlogging is not allowed. The objective of the paper is to simultaneously determine the optimal inbound lot-sizing and outbound dispatching plans that minimize total costs which include ordering, shipping, and inventory holding costs. The optimal solution properties are characterized for the problem and then a dynamic programming algorithm is presented to find the optimal solution.

An Engine for DRA in Container Orchestration Using Machine Learning

  • Gun-Woo Kim;Seo-Yeon Gu;Seok-Jae Moon;Byung-Joon Park
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.126-133
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    • 2023
  • Recent advancements in cloud service virtualization technologies have witnessed a shift from a Virtual Machine-centric approach to a container-centric paradigm, offering advantages such as faster deployment and enhanced portability. Container orchestration has emerged as a key technology for efficient management and scheduling of these containers. However, with the increasing complexity and diversity of heterogeneous workloads and service types, resource scheduling has become a challenging task. Various research endeavors are underway to address the challenges posed by diverse workloads and services. Yet, a systematic approach to container orchestration for effective cloud management has not been clearly defined. This paper proposes the DRA-Engine (Dynamic Resource Allocation Engine) for resource scheduling in container orchestration. The proposed engine comprises the Request Load Procedure, Required Resource Measurement Procedure, and Resource Provision Decision Procedure. Through these components, the DRA-Engine dynamically allocates resources according to the application's requirements, presenting a solution to the challenges of resource scheduling in container orchestration.

안드로이드 센서 정보의 선택적 암호화를 지원하는 HCCL 기반 SEED 암호의 캡슐화 기능 연구 (Encapsulation of SEED Algorithm in HCCL for Selective Encryption of Android Sensor Data)

  • 김형종;안재윤
    • 한국시뮬레이션학회논문지
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    • 제29권2호
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    • pp.73-81
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    • 2020
  • HCCL 이란 Heterogeneous Container Class Library의 약자로써, 이종의 데이터 유형을 하나의 레코드로 저장이 가능하도록 하고, 이의 리스트를 만들어 정보의 저장이 가능하도록 하는 라이브러리이다. HCCL을 사용할 경우, 데이터 유형이 다르더라도 암/복호화를 문자열을 기반으로 용이하게 할 수 있다. 최근 스마트폰에 내재되어 있는 다양한 센서들을 활용하여 사용자에게 편리한 서비스를 제공해 주고 있다. 하지만, 센서 정보를 API에 전달해 주는 과정에서 개인 정보의 침해가 발생할 수 있으며, 이에 대해 사용자들의 대비가 필요한 것도 사실이다. 본 연구에서는 센서의 정보를 HCCL을 기반으로 관리하면서 SEED 암호 알고리즘을 활용한 기존의 보안성을 강화하는 데이터 모델을 개발하였다. 안드로이드 환경이 센서에 대한 권한 관리 기능을 제공하지 않는 문제가 있음으로, 본 연구에서는 사용자의 판단을 기반으로 한 선택을 통해 센서 정보의 암호화 여부가 결정되도록 하여 안전한 데이터의 생성 및 저장을 사용자가 판단하도록 하였다. 또한, 개발된 라이브러리의 성능을 평가하여 본 연구의 효과성을 검증하였다.