• Journal of Computing Science and Engineering
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• 제9권2호
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• pp.83-97
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• 2015

IEEE 802.15.4 is a global standard designed for emerging applications in low-rate wireless personal area networks (LR-WPANs). The standard provides beneficial features, such as a beacon-enabled mode and guaranteed time slots for realtime data delivery. However, how to optimally operate those features is still an open issue. For the optimal operation of the features, this paper proposes a holistic optimization method that jointly optimizes three cross-related problems: cluster-tree construction, nodes' power configuration, and duty-cycle scheduling. Our holistic optimization method provides a solution for those problems so that all the real-time packets can be delivered within their deadlines in the most energy-efficient way. Our simulation study shows that compared to existing methods, our holistic optimization can guarantee the on-time delivery of all real-time packets while significantly saving energy, consequently, significantly increasing the lifetime of the network. Furthermore, we show that our holistic optimization can be extended to take advantage of the spatial reuse of a radio frequency resource among long distance nodes and, hence, significantly increase the entire network capacity.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.459-460
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• 2013

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권3호
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• pp.1301-1318
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• 2017

In order to utilize the licensed channel of cognitive radio (CR) when the primary user (PU) is detected busy, a benefit-exchange access mode based on cooperative communication is proposed to allow secondary user (SU) to access the busy channel through giving assistance to PU's communication in exchange for some transmission bandwidth. A holistic joint optimization problem is formulated to maximize the total throughput of CR system through jointly optimizing the parameters of cooperative spectrum sensing (CSS), including the local sensing time, the pre-configured sensing decision threshold, the forward power of cooperative communication, and the bandwidth and transmission power allocated to SUs in benefit-exchange access mode and traditional access mode, respectively. To solve this complex problem, a combination of bi-level optimization, interior-point optimization and exhaustive optimization is proposed. Simulation results show that, compared with the tradition throughput maximizing model (TTMM), the proposed holistic joint optimization model (HJOM) can make use of the channel effectively even if PU is busy, and the total throughput of CR obtains a considerable improvement by HJOM.

• Journal of Computational Design and Engineering
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• 제1권4호
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• pp.256-265
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• 2014

Energy efficiency is an essential consideration in sustainable manufacturing. This study presents the car fender-based injection molding process optimization that aims to resolve the trade-off between energy consumption and product quality at the same time in which process parameters are optimized variables. The process is specially optimized by applying response surface methodology and using non-dominated sorting genetic algorithm II (NSGA II) in order to resolve multi-object optimization problems. To reduce computational cost and time in the problem-solving procedure, the combination of CAE-integration tools is employed. Based on the Pareto diagram, an appropriate solution is derived out to obtain optimal parameters. The optimization results show that the proposed approach can help effectively engineers in identifying optimal process parameters and achieving competitive advantages of energy consumption and product quality. In addition, the engineering analysis that can be employed to conduct holistic optimization of the injection molding process in order to increase energy efficiency and product quality was also mentioned in this paper.

• Smart Structures and Systems
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• 제30권6호
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• pp.583-599
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• 2022

In this paper, a multi-objective wireless sensor network configuration optimization method is proposed. The proposed method aims to determine the optimal information and lifespan wireless sensor network for structural health monitoring of large-scale infrastructures. In particular, cluster-based wireless sensor networks with multi-type of sensors are considered. To optimize the lifetime of the wireless sensor network, a cluster-based network optimization algorithm that optimizes the arrangement of cluster heads and base station is developed. On the other hand, based on the Bayesian inference, the uncertainty of the estimated parameters can be quantified. The coefficient of variance of the estimated parameters can be obtained, which is utilized as a holistic measure to evaluate the estimation accuracy of sensor configurations with multi-type of sensors. The proposed method provides the optimal wireless sensor network configuration that satisfies the required estimation accuracy with the longest lifetime. The proposed method is illustrated by designing the optimal wireless sensor network configuration of a cable-stayed bridge and a space truss.

• Journal of information and communication convergence engineering
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• 제8권5호
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• pp.479-483
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• 2010

The rapid progress of the Internet and network is affecting the engineering design environment as well as business that use Web technologies to enhance their competitive edge. In product development, experts and organization who take part in the design process are often geographically dispersed. Furthermore, different divisions and business often have heterogeneous CAD/CAE systems and methods for expressing product data, and addressing this heterogeneity creates additional costs and increases development time. Managing distributed CAD, CAE and other related systems in an organic and holistic manner from the initial stages of product development is imperative to ensure successful collaboration in the design process. Therefore, this study suggests a Web-based MDO framework to support interfacing and collective use of design and analysis tools.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.175-185
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• 2023

As the era of ChatGPT and generative AI technologies unfolds, the marketing industry stands on the precipice of a paradigm shift. Innovations such as GPT-4, DALL-E 2, and Mid-journey Stable Diffusion possess the capacity to dramatically transform the methods by which advertisers reach and engage with customers. The potential applications of these advanced tools herald a new age for the marketing and advertising sectors, offering unprecedented opportunities for growth and optimization. Nevertheless, the rapid adoption of generative AI within these industries presents a unique set of challenges, particularly for organizations that lack the necessary technological infrastructure and human capital to effectively leverage these innovations. As a result, a competitive crisis may emerge, exacerbating existing disparities between well-equipped enterprises and their less technologically adept counterparts. In this article, we undertake a comprehensive exploration of the implications of generative AI for the future of marketing, examining both its potential benefits and drawbacks. We consider the possible impact of these developments on the advertising and marketing industries at large, as well as the ways in which professionals operating within these fields may need to adapt to remain competitive in an increasingly AI-driven landscape. By providing a holistic overview of the challenges and opportunities associated with generative AI, this study aims to elucidate the complex dynamics at play in the ongoing evolution of the marketing and advertising sectors.

• 한국전산구조공학회논문집
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• 제21권6호
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• pp.535-541
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• 2008

동시공학개념이 최적화의 개념과 함께 대두되면서 최적화 적용을 위한 많은 노력들이 실제 설계 문제에 적용되어 왔다. 하지만 최적화가 적용될 수 있는 설계 문제들은 확대되었지만 선박 설계과정은 모든 관련된 설계 작업들의 전산적인 통합의 어려움으로 인해 많은 부분들이 여전히 반복적인 접근 방법에 의존되고 있다. 이러한 접근 방법은 전체 설계 문제를 쉽게 다룰 수 있는 많은 하위 문제로 분해한 후 많은 다른 팀에 의해 복잡한 내부 상호작용 통해 이루어지고 있다. 본 논문은 이러한 실제 선박 설계 초기과정에 대해 초점을 맞추고 있다. 본 논문에서는 워크플로우(workflow) 기반 설계 프로세스 관리 시스템 구축을 위한 첫 단계로서, 프로세스 중심의 통합 프레임워크를 제안한다. 이 프레임워크는 크게, 관리자가 설계 진행 상황을 모니터링하고 관리할 수 있는 부분과 설계자가 설계 워크플로우를 따라 효과적으로 설계 업무를 수행할 수 있는 설계 업무 관리 부분으로 나뉘어진다. 전체 시스템은 그 관리 대상에 따라 여러 개의 모듈로 나뉘어지고, 그 모듈간에는 전체 시스템의 기능 달성을 위해 합리적인 상호작용이 이루어질 수 있도록 설계되었다. 설계 프로세스 모델은 실제 선박설계 현실의 분석을 통해 최대한 합리적이고 적용 가능한 모델이 괼 수 있도록 제안되었다. 제안된 프레임워크는 상용 워크플로우 시스템을 통해 실제로 구현될 예정이다.

• 한국산학기술학회논문지
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• 제18권4호
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• pp.469-486
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• 2017

말레이시아에서는 전면개발방식의 도시 재개발이 주로 이루어지고 있다. 그 결과 젠트리피케이션, 역사성과 정체성의 상실, 불평등 등과 같은 사회적 문제를 야기했다. 따라서 앞으로의 말레이시아 정부는 도시 재개발에만 의존하는 것 에서 벗어나 또 다른 대안을 모색하는 것이 매우 중요하다. 지역 기반 주거재생은 낙후 지역을 총체적인 방법으로 개선하기 위하여 재개발, 회복, 재활성화 및 보전 등을 통합하는 전력이다. 본 연구 목적은 선진국 주거재생 사례를 비교 검토 하고 말레이시아에 적용 가능한 요소들을 도출하는 것이다. 이를 위해 본 연구는 문헌 검토를 통한 비교 분석을 수행하였다. 그 결과 사람중심 장소중심 체계중심의 정책을 통합하는 주거지 재생을 통해, 적절한 자원활용을 목적으로 하는 다양성의 중요성, 주민참여, 그리고 공평하고 공정하며 체계적으로 자원을 제공할 수 있도록 하는 도시 협치 등이 가능하다는 것을 발견했다. 결론적으로 말레이시아의 주거지재생은 진정한 지역 주민의 참여와 지속 가능한 재원조달 시스템을 기반으로 지역주민으로부터 시작되어야 할 것이다. 정부와 지자체는 실행자 역할을 하기 보다는 지원자 역할을 하여야 할 것이다.