• 시큐리티연구
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• 제62호
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• pp.321-346
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• 2020

이 연구는 보안경비 이용자의 고객접점서비스, 내적반응과 소비행동간 간의 관계를 구조모형을 통해 규명하는 것이 목적이다. 이 연구는 보안경비 서비스를 이용하는 구매자의 실증적인 대면이 되는 접점서비스의 중요성을 파악하고 이에 따른 소비자의 반응과 소비행동의 관계를 규명함으로서 보안경비 산업 발전에 기여할 수 있다는 점에서 의미가 있다할 것이다. 연구대상은 충청남도 천안시 및 아산시의 상가 밀집지역을 중심으로 보안경비서비스를 이용하고 있는 점포로 하고 여기서 점포 대표 및 직원 375명을 선정하여 연구를 수행하였다. 조사도구는 국내·외 선행연구를 기초로 하여 연구의 목적에 맞게 수정하여 사용하였다. 자료처리는 SPSS 25.0과 AMOS 25.0 두 가지 통계프로그램을 이용하여 빈도 분석, 탐색적 요인분석, 신뢰도 분석, 확인적 요인분석, 구조모형분석을 실시하였다. 통계적 유의 수준은 .05로 설정하여 분석하였으며, 자료 분석을 통하여 다음과 같은 결론을 얻었다. 첫째, 보안경비 이용자의 고객접점서비스는 소비행동에 정(+)의 영향을 미친다. 둘째, 보안경비 이용자의 고객접점서비스는 내적반응에 정(+)의 영향을 미친다. 셋째, 보안경비 이용자의 내적반응은 소비행동에 정(+)의 영향을 미친다. 넷째, 보안경비 이용자의 고객접점서비스와 소비행동 간의 매개효과로써 내적반응은 정(+)의 영향을 미친다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제16권1호
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• pp.80-90
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• 2016

Thanks to superior leakage energy efficiency compared to SRAM cells, STTRAM cells are considered as a promising alternative for a memory element in on-chip caches. However, the main disadvantage of STTRAM cells is high write energy and latency. In this paper, we propose a low-cost write filter (WF) cache which resides between the load/store queue and STTRAM-based L1 data cache. To maximize efficiency of the WF cache, the line allocation and access policies are optimized for reducing energy consumption of STTRAM-based L1 data cache. By efficiently filtering the write operations in the STTRAM-based L1 data cache, our proposed WF cache reduces energy consumption of the STTRAM-based L1 data cache by up to 43.0% compared to the case without the WF cache. In addition, thanks to the fast hit latency of the WF cache, it slightly improves performance by 0.2%.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.7-15
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• 2024

6G network technology represents the next generation of communications, supporting high-speed connectivity, ultra-low latency, and integration with cutting-edge technologies, such as the Internet of Things (IoT), virtual reality, and autonomous vehicles. These advancements promise to drive transformative changes in digital society. However, as technology progresses, the demand for efficient data transmission and energy management between smart devices and network equipment also intensifies. A significant challenge within 6G networks is the optimization of interactions between satellites and smart devices. This study addresses this issue by introducing a new game theory-based technique aimed at minimizing system-wide energy consumption and latency. The proposed technique reduces the processing load on smart devices and optimizes the offloading decision ratio to effectively utilize the resources of Low-Earth Orbit (LEO) satellites. Simulation results demonstrate that the proposed technique achieves a 30% reduction in energy consumption and a 40% improvement in latency compared to existing methods, thereby significantly enhancing performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.1951-1972
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• 2018

Wi-Fi Access Point (AP) optimization approaches are used in indoor positioning systems for signal coverage enhancement, as well as positioning precision improvement. Although the huge power consumption of the AP optimization forms a serious problem due to the signal coverage requirement for large-scale indoor environment, the conventional approaches treat the problem of power consumption independent from the design of indoor positioning systems. This paper proposes a new Fast Water-filling algorithm Group Power Constraint (FWA-GPC) based Wi-Fi AP optimization approach for indoor positioning in which the power consumed by the AP optimization is significantly considered. This paper has three contributions. First, it is not restricted to conventional concept of one AP for one candidate AP location, but considered spare APs once the active APs break off. Second, it utilizes the concept of water-filling model from adaptive channel power allocation to calculate the number of APs for each candidate AP location by maximizing the location fingerprint discrimination. Third, it uses a fast version, namely Fast Water-filling algorithm, to search for the optimal solution efficiently. The experimental results conducted in two typical indoor Wi-Fi environments prove that the proposed FWA-GPC performs better than the conventional AP optimization approaches.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권4호
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• pp.1404-1423
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• 2015

In smart grid, electricity consumption data may be handed over to a third party for various purposes. While government regulations and industry compliance prevent utility companies from improper or illegal sharing of their customers' electricity consumption data, there are some scenarios where it can be very useful. For example, it allows the consumers' data to be shared among various energy resources so the energy resources are able to analyze the data and adjust their operation to the actual power demand. However, it is crucial to protect sensitive electricity consumption data during the sharing process. In this paper, we propose a fine-grained access control scheme (FAC) with efficient attribute revocation and policy updating in smart grid. Specifically, by introducing the concept of Third-party Auditor (TPA), the proposed FAC achieves efficient attribute revocation. Also, we design an efficient policy updating algorithm by outsourcing the computational task to a cloud server. Moreover, we give security analysis and conduct experiments to demonstrate that the FAC is both secure and efficient compared with existing ABE-based approaches.

• 한국통신학회논문지
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• 제33권3B호
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• pp.135-143
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• 2008

본 논문은 CSMA/CA 경쟁방식 프로토콜을 사용하는 무선 PAN(WPAN: Wireless Personal Area Network)을 위해 QoS를 보장하고 에너지 효율적인 전송을 위한 방법을 제안한다. WPAN 장치들은 제한된 배터리 용량의 전지로 동작하기 때문에 에너지 소모는 WPAN 시스템에서 가장 중요한 문제 중의 하나이다. 따라서 WPAN이 경쟁기반 MAC 프로토콜을 사용할 경우 독립적 채널 접근 시도에 의한 충돌로 인하여 에너지 소모 문제는 더 중요하다. 본 논문에서는 에너지 소모를 최소화하면서 QoS를 보장하기 위해 최적의 fragment 크기, 변조 수준과 전송 전력을 선택하는 알고리즘을 제안한다. 제안한 알고리즘에 대한 성능평가를 수행하여 개선정도를 시뮬레이션 결과에 제시하였다.

• 한국산업정보학회논문지
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• 제25권2호
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• pp.49-56
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• 2020

다중 엑세스 포인트에서 적용을 위한 전송전력 알고리즘을 연구한다. 개별 단말은 여러 개의 엑세스 포인트 중에서 하나의 엑세스 포인트에 신호를 전송한다. 각각의 엑세스 포인트는 수신이 예정된 단말로 부터 신호를 수신하기도 하지만, 인접한 단말들로 부터 간섭도 수신한다. 본 논문에서는 각각의 단말에 요구되는 신호대 간섭비를 만족하면서 모든 단말들의 총 전송전력이 최소화되도록 전송전력 알고리즘을 제안한다. 특히, 엑세스 포인트 개수의 증가가 단말들이 소모하는 총 전송전력에 미치는 영향을 살펴본다. 이를 기반으로, 단말들의 총 전송전력을 최소화하는 반복적 알고리즘을 제안한다. 제안하는 알고리즘은 목표 신호대 간섭비에 항상 수렴함을 이론적 기법을 통해 증명한다. 또한, 본 논문에서 제안하는 알고리즘은 단말들이 소모하는 전송전력을 최적화함을 증명하도록 한다. 실험결과를 통해 다음과 같은 두 가지 사항, 1) 제안하는 전송전력 최적화 알고리즘은 엑세스 포인트 개수와 관계없이 목표로 하는 신호대 간섭비에 수렴하며, 이때 개별 단말들은 최적의 전송전력을 소모한다. 2) 통신시스템에 엑세스 포인트의 개수가 증가할수록 단말들이 소모하는 전송전력은 감소함을 확인하였다.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.16-24
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• 2024

With an increase in the relevance of next-generation integrated networking environments, the need to effectively utilize advanced networking techniques also increases. Specifically, integrating Software-Defined Networking (SDN) with Multi-access Edge Computing (MEC) is critical for enhancing network flexibility and addressing challenges such as security vulnerabilities and complex network management. SDN enhances operational flexibility by separating the control and data planes, introducing management complexities. This paper proposes a reinforcement learning-based network path optimization strategy within SDN environments to maximize performance, minimize latency, and optimize resource usage in MEC settings. The proposed Enhanced Proximal Policy Optimization (PPO)-based scheme effectively selects optimal routing paths in dynamic conditions, reducing average delay times to about 60 ms and lowering energy consumption. As the proposed method outperforms conventional schemes, it poses significant practical applications.

• KIEAE Journal
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• 제16권5호
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• pp.13-20
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• 2016

Purpose: The purpose of this study is to provide information on building's energy consumption and efficiency for general building users through a mobile application. Method: This paper presents a mobile application process and building energy assessment models for general users to understand easily. There are two assessment models, one is based on the energy consumption. The other is based on the architectural planning factors of a building. The assessment models are proposed to understand buildings' energy efficiency and to compare the energy consumption level for general users. The applicability of proposed application has been evaluated by conducting a case study. The case study is targeting university buildings. Result: Energy efficiency potentials were proposed using weighting factor which was calculated by the impact on energy consumption of a building according to parameters. The mobile application used the simple energy assessment model by energy efficiency potentials and was developed for a smartphone By using the mobile application, numerous general users of smartphones can easily and conveniently access information pertaining to buildings, energy consumption, and reductions in energy consumption. The proposed application enables user to find more energy efficient buildings by comparing energy status and energy efficiency potential by given information.

• ETRI Journal
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• 제36권6호
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• pp.988-998
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• 2014

For memory-based big data storage, using hybrid memories consisting of both dynamic random-access memory (DRAM) and non-volatile random-access memories (NVRAMs) is a promising approach. DRAM supports low access time but consumes much energy, whereas NVRAMs have high access time but do not need energy to retain data. In this paper, we propose a new data migration method that can dynamically move data pages into the most appropriate memories to exploit their strengths and alleviate their weaknesses. We predict the access frequency values of the data pages and then measure comprehensively the gains and costs of each placement choice based on these predicted values. Next, we compute the potential benefits of all choices for each candidate page to make page migration decisions. Extensive experiments show that our method improves over the existing ones the access response time by as much as a factor of four, with similar rates of energy consumption.