• 한국CDE학회논문집
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• 제17권1호
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• pp.26-34
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• 2012

Assembly scheduling in shipbuilding is responsible for determine assembly process orders and departmental production schedule for the block, the basic composite unit of ships. It is necessary much more information to decide production scheduling as the characteristic of shipbuilding which has been more complex and more various and also, a lot of waste of time and of human power is generated in the course of data processing. The target shipbuilding manufacturer of this study use empirical techniques, based on the user's discretion, to compile and to apply data which are scattered in DB storages separately. Because of that reason, the user should not only be performed identification and screening operations but also modification and verification for vast amounts of data, so it is hard to keep the consistency of the data and also the operation time is not constant. Accordingly, the object in this study is by presenting an efficient DB framework to reduce wasting time and man-hour at experienced-oriented process, abate user's manual operations and support an efficient scheduling in assembly processes.

• 한국컴퓨터정보학회논문지
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• 제18권2호
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• pp.31-39
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• 2013

본 논문에서는 멀티코어 프로세서에서 단일 실시간 병렬 작업의 데드라인을 만족하면서 전력 소모량의 확률적 기대 값을 최소화하는 스케쥴링 기법을 제안하였다. 제안된 기법에서는 단일 작업을 여러 개의 코어들 상에서 동시에 수행하는 병렬 처리 기법을 적용하였고, 전체 코어들 중에서 일부의 코어들만을 사용하고 나머지 코어들의 전원을 소등하여 전력 소모량을 줄였다. 또한 한정된 개수의 이산적 클락 주파수 값들을 가지는 DVFS 기반 멀티코어 프로세서에 대해서, 확률적 계산량 모델을 가진 실시간 병렬 작업의 데드라인을 만족하면서 전력 소모량의 확률적 기대 값을 최소화함을 수학적으로 증명하였다. 성능평가 실험에서, 제안된 기법이 기존 방법의 전력소모량을 최대 81%까지 감소시킴을 확인하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.60-61
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• 2019

Drones are opening new horizon as a major Internet-of-Things (IoT) player which is a network of objects. Drone needs to charge itself during providing services from the charging stations. If there are lots of drones and one charging station, then it is a critical situation to decide which drone should get charged first and make order of priorities for drones to get charged sequentially. In this paper, we propose an efficient scheduling algorithm for drone power charging (ESADPC), in which charging station would have a scheduler to decide which drone can get charged earlier among many other drones. Simulation results have showed that our algorithm reduces the deadline miss ration and turnaround time.

• 정보처리학회논문지C
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• 제11C권4호
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• pp.555-562
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• 2004

근거리 무선 개인 네트워크 시스템 즉, 블루투스의 피코넷을 위한 전력 및 차등 대역폭 할당을 고려한다. 대역폭 요구는 어플리케이션/서비스에 또는 시간에 따라서 변할 수도 있으므로, 제한된 자원을 서비스 요구를 만족하면서 다양한 서비스 클래스로 어떻게 할당할 것인가를 결정 하는 것이 중요하다. 본 논문에서는 다양한 서비스 형태의 대역폭 요구를 만족하면서 전력 절약 모드 (즉, 스니프 모드)에 의해 전력 소비를 절약하는 간단하고 효율적인 대역폭 할당 메커니즘을 제안한다. 기존의 (가중치) 라운드 로빈 폴링 방법과 제안된 메커니즘을 비교하고, 전송율, 지연시간, 전력 소비 측면에서의 성능 향상을 보인다.

• ETRI Journal
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• 제29권3호
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• pp.259-269
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• 2007

The ubiquitous flexible operating system (UbiFOS) is a real-time operating system designed for cost-conscious, low-power, small to medium-sized embedded systems such as cellular phones, MP3 players, and wearable computers. It offers efficient real-time operating system services like multi-task scheduling, memory management, inter-task communication and synchronization, and timers while keeping the kernel size to just a few to tens of kilobytes. For flexibility, UbiFOS uses various task scheduling policies such as cyclic time-slice (round-robin), priority-based preemption with round-robin, priority-based preemptive, and bitmap. When there are less than 64 tasks, bitmap scheduling is the best policy. The scheduling overhead is under 9 ${\mu}s$ on the ARM926EJ processor. UbiFOS also provides the flexibility for user to select from several inter-task communication techniques according to their applications. We ported UbiFOS on the ARM9-based DVD player (20 kB), the Calm16-based MP3 player (under 7 kB), and the ATmega128-based ubiquitous sensor node (under 6 kB). Also, we adopted the dynamic power management (DPM) scheme. Comparative experimental results show that UbiFOS could save energy up to 30% using DPM.

• 경영과학
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• 제29권2호
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• pp.143-155
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• 2012

The purpose of this study is to formulate and solve the scheduling problem to heat-treatment process in forging process and apply it to industries. Heat-treatment is a common process in manufacturing heavy forged products in ship engines and wind power generators. Total complete time of the schedule depends on how to group parts and assign them into heat furnace. Efficient operation of heat-treatment process increases the productivity of whole production system while scheduling the parts into heat-treatment furnace is a combinatorial problem which is known as an NP-hard problem. So the scheduling, on manufacturing site, relies on engineers' experience. To improve heat-treatment process schedule, this study formulated it into an MIP mathematical model which minimizes total complete time. Three methods were applied to example problems and the results were compared to each other. In case of small problems, optimal solutions were easily found. In case of big problems, feasible solutions were found and that feasible solutions were very close to lower bound of the solutions. ILOG OPL Studio 5.5 was used in this study.

• Journal of Communications and Networks
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• 제16권3호
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• pp.293-300
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• 2014

As energy harvesting communication systems emerge, there is a need for transmission schemes that dynamically adapt to the energy harvesting process. In this paper, after exhibiting a finite-horizon online throughput-maximizing scheduling problem formulation and the structure of its optimal solution within a dynamic programming formulation, a low complexity online scheduling policy is proposed. The policy exploits the existence of thresholds for choosing rate and power levels as a function of stored energy, harvest state and time until the end of the horizon. The policy, which is based on computing an expected threshold, performs close to optimal on a wide range of example energy harvest patterns. Moreover, it achieves higher throughput values for a given delay, than throughput-optimal online policies developed based on infinite-horizon formulations in recent literature. The solution is extended to include ergodic time-varying (fading) channels, and a corresponding low complexity policy is proposed and evaluated for this case as well.

• Journal of Communications and Networks
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• 제4권3호
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• pp.199-208
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• 2002

The downlink rate scheduling problem is considered for CDMA networks with multiple users carrying packets of heterogeneous traffic (voice/audio only, bursty data only or mixed traffic), with each type having its own distinct quality of service requirements. Several rate scheduling algorithms are developed, the common factor of which is that part of the decision on which users to serve is based on a function of the deadline of their head-ofline packets. An approach of Andrews et al., in which the basic Earliest-Deadline-First algorithm is studied for similar systems, is extended to result in better performance by considering a more efficient power usage and by allowing service of more than one user per timeslot if the power resources permit it. Finally, the performance of the proposed schemes is compared through simulations.

• 한국정보과학회논문지:시스템및이론
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• 제27권2호
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• pp.227-233
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• 2000

이 논문은 회로 설계의 상위 단계에서 저 전력 회로 합성을 위한 효율적인 알고리즘을 제시한다. 풀고자하는 문제는, 상위 단계 회로 합성의 두 가지 주요 작업인 스케줄링과 하드웨어 할당 과정에서 최소의 전력 소모를 가지는 데이타 경로를 합성해 내는 것이다 이 문제의 해결 방안으로， 우리는 과거 연구 결과에서 도출된 전력 소모를 줄이기 위한 기존의 요소들을 기초로 하여， 상위 단계 회로 합성에서 최적(optimal)의 전력 소모를 가지는 데이타 경로를 얻기 위한 IP (integer programming) 표현을 유도하였다. 그 다음， 유도된 IP 식을 이용하여 최소 전력 소모의 회로 합성을 위한 스케줄링과 하드웨어 할당 작업을 빠른 시간에 수행하기 위한 단계적 근사치 계산 방법을 고안하였다 실제， 우리는 실험을 통해 제안된 알고리즘이 매우 빠르며, 상위 단계에서의 데이터-경로 합성에서 전력 소모량을 줄이는데 매우 효과적임을 보여준다.

• 대한임베디드공학회논문지
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• 제11권1호
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• pp.1-8
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• 2016

We proposed a load unbalancing scheduling method for energy-efficient multi-core embedded systems considering DVFS (Dynamic Voltage/Frequency Scaling) power consumption and task characteristics. It is a new kind of scheduler which combines load balancing and load unbalancing technique. The purpose of the method is to effectively utilize energy without much effect in performance. In this paper, we conduct experiments on energy consumption and performance using the previous load balancing and unbalancing techniques and our proposed technique. The proposed technique reduced energy consumption more than 13.7% when compared to other algorithms. As a result, the proposed technique shows low energy consumption without much decline in the performance and is adequate for energy-efficient multi-core embedded systems.