• Title/Summary/Keyword: Communication Cost

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A study on the Algorithm for Mesh Network Topology Optimization and Routing (망토폴로지 최적화와 라우팅을 위한 알고리즘에 대한 연구)

  • Kim, Dong-Choon;Na, Seung-Kwon;Pyeon, Yong-Kug
    • Journal of Advanced Navigation Technology
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    • v.19 no.1
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    • pp.53-59
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    • 2015
  • We consider the problems that consist of designing time, establishment cost, delay time and reliability in designing a mesh network when given link costs and traffic requirements between nodes. Designing time, establishment cost and delay time are less, reliability is higher in designing a mesh network. One of the problems designing time is solved by mesh network topology optimization and routing (MENTOR) algorithm that Aaron Kershenbaum propose, but the others remain. In this paper we propose a new mesh network design algorithm with small computational complexity that the others are solved. The result of the proposed algorithm is better than MENTOR's in total establishment cost, delay time and reliability.

The Minimum-cost Network Selection Scheme to Guarantee the Periodic Transmission Opportunity in the Multi-band Maritime Communication System (멀티밴드 해양통신망에서 전송주기를 보장하는 최소 비용의 망 선택 기법)

  • Cho, Ku-Min;Yun, Chang-Ho;Kang, Chung-G
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.2A
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    • pp.139-148
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    • 2011
  • This paper presents the minimum-cost network selection scheme which determines the transmission instance in the multi-band maritime communication system, so that the shipment-related real-time information can be transmitted within the maximum allowed period. The transmission instances and the corresponding network selection process are modeled by a Markov Decision Process (MDP), for the channel model in the 2-state Markov chain, which can be solved by stochastic dynamic programming. It derives the minimum-cost network selection rule, which can reduce the network cost significantly as compared with the straight-forward scheme with a periodic transmission.

A study on the relationship between proprietary information cost and the quality of disclosure

  • Kim, Ki Beom;Lee, Han Geun
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.3
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    • pp.270-275
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    • 2022
  • Examining whether the relationship between proprietary information cost and management's disclosure decision is also valid for domestic companies is expected to provide meaningful implications for investors and regulatory authorities. However, there are no domestic studies related to proprietary information costs so far. This study examines whether managers tend to lower the disclosure level at their discretion in consideration of proprietary information costs. This study used the measurement quality of disclosure to examine whether managers tend to lower the disclosure level at their discretion in consideration of proprietary information costs. As a result of empirical analysis, it was confirmed that there is a negative relationship between proprietary information cost and the quality of disclosure. This suggests that management tends to make disclosure decisions in consideration of not only the benefits of disclosure but also proprietary information costs resulting from disclosure in order to maximize corporate value. These findings are expected to have significant implications for investors and related policy authorities.

Zigbee-based Local Army Strategy Network Configurations for Multimedia Military Service

  • Je, Seung-Mo
    • Journal of Multimedia Information System
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    • v.6 no.3
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    • pp.131-138
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    • 2019
  • With the rapid evolution of communication technology, it became possible to overcome the spatial and temporal limitations faced by humans to some extent. Furthermore, the quality of personal life was revolutionized with the emergence of the personal communication device commonly known as the smart phone. In terms of defense networks, however, due to restrictions from the military and security perspectives, the use of smart phones has been prohibited and controlled in the army; thus, they are not being used for any defense strategy purposes as yet. Despite the current consideration of smart phones for military communication, due to the difficulties of network configuration and the high cost of the necessary communication devices, the main tools of communication between soldiers are limited to the use of flag, voice or hand signals, which are all very primitive. Although these primitive tools can be very effective in certain cases, they cannot overcome temporal and spatial limitations. Likewise, depending on the level of the communication skills of each individual, communication efficiency can vary significantly. As the term of military service continues to be shortened, however, types of communication of varying efficiency depending on the levels of skills of each individual newly added to the military is not desirable at all. To address this problem, it is essential to prepare an intuitive network configuration that facilitates use by soldiers in a short period of time by easily configuring the strategy network at a low cost while maintaining its security. Therefore, in this article, the author proposes a Zigbee-based local strategic network by using Opnet and performs a simulation accordingly.

Distribution of Advertisement on Instagram in Relation to Satisfaction and Loyalty of Low-Cost Airline Passengers in Indonesia

  • Fatimah Febriyanti, BASTARI;M., ARAS;Cici Fakhrunnisa, SOFYAN;Taniya Indriana, RUSTAM
    • Journal of Distribution Science
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    • v.21 no.3
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    • pp.13-23
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    • 2023
  • Purpose: Low-Cost Carrier airlines attempt to provide the best service for their customers. However, the pandemic has forced airline companies to keep developing new strategies. Moreover, in this digital era, airlines must intensely market their service through social media to reach as many customers as possible. This research aims to study the impact of advertisements on Instagram and the customer experience concerning customer loyalty and satisfaction in the aviation industry. Research design, data, and methodology: This study uses a quantitative explanatory with the combination of the positivism paradigm. The data collection technique is by distributing questionnaires to related airline Instagram followers. Meanwhile, the sample calculation uses using the Slovin formula in which 414 respondents are gained. The collected data is analyzed with Structural Equation Model and using Smart-PLS software. Results: The study results indicate that advertising on Instagram and customer experience significantly positively affect customer satisfaction and loyalty. In addition, the variable customer satisfaction has a significant positive on customer loyalty. Conclusions: The study results indicate that the ease of obtaining information via Instagram can affect satisfaction and will increase when customers have made a flight so that they will become loyal customers.

Dynamic Load Balancing Algorithm using Execution Time Prediction on Cluster Systems

  • Yoon, Wan-Oh;Jung, Jin-Ha;Park, Sang-Bang
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.176-179
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    • 2002
  • In recent years, an increasing amount of computer network research has focused on the problem of cluster system in order to achieve higher performance and lower cost. The load unbalance is the major defect that reduces performance of a cluster system that uses parallel program in a form of SPMD (Single Program Multiple Data). Also, the load unbalance is a problem of MPP (Massive Parallel Processors), and distributed system. The cluster system is a loosely-coupled distributed system, therefore, it has higher communication overhead than MPP. Dynamic load balancing can solve the load unbalance problem of cluster system and reduce its communication cost. The cluster systems considered in this paper consist of P heterogeneous nodes connected by a switch-based network. The master node can predict the average execution time of tasks for each slave node based on the information from the corresponding slave node. Then, the master node redistributes remaining tasks to each node considering the predicted execution time and the communication overhead for task migration. The proposed dynamic load balancing uses execution time prediction to optimize the task redistribution. The various performance factors such as node number, task number, and communication cost are considered to improve the performance of cluster system. From the simulation results, we verified the effectiveness of the proposed dynamic load balancing algorithm.

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Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source

  • Deng, Qingyong;Li, Xueming;Li, Zhetao;Liu, Anfeng;Choi, Young-june
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.12
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    • pp.5712-5728
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    • 2017
  • Recently, there are many studies, that considering green wireless cellular networks, have taken the energy consumption of the base station (BS) into consideration. In this work, we first introduce an energy consumption model of multi-mode sharing BS powered by multiple energy sources including renewable energy, local storage and power grid. Then communication load requests of the BS are transformed to energy demand queues, and battery energy level and worst-case delay constraints are considered into the virtual queue to ensure the network QoS when our objective is to minimize the long term electricity cost of BSs. Lyapunov optimization method is applied to work out the optimization objective without knowing the future information of the communication load, real-time electricity market price and renewable energy availability. Finally, linear programming is used, and the corresponding energy efficient scheduling policy is obtained. The performance analysis of our proposed online algorithm based on real-world traces demonstrates that it can greatly reduce one day's electricity cost of individual BS.

The Cost Analysis of Network by The Function of Automatic Link Recovery (자동링크복구 기능에 따른 네트워크 비용분석)

  • Song, Myeong-Kyu
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.6
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    • pp.439-444
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    • 2015
  • The Social infrastructure systems such as communication, transportation, power and water supply systems are now facing various types of threats including component failures, security attacks and natural disasters, etc. Whenever such undesirable events occur, it is crucial to recover the system as quickly as possible because the downtime of social infrastructure causes catastrophic consequences in the society. Especially when there is a network link-failure, we need an automatic link-recovery method. This means that customers are aware of network failures that can be recovered before you say that service. In this paper, we analysis the relation between Auto-recovery performance and cost.

Implementation of Hybrid IP-PBX System offer to Voice Conference and Video Conference base on the SIP (SIP 기반 음성 및 화상회의용 하이브리드 IP-PBX 시스템 구현)

  • Kim, Sam-Taek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.4
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    • pp.115-122
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    • 2009
  • These day, market demanded to a Video conference systems rapidly increases in our life for cut cost in communication. more and more it will be grow up. but the cost building to a Voice conference and a Video conference is very hight. therefore it is builded around the big company and the public office. so in this study, we have developed to hybrid IP-PBX which is able to a Voice conference and a Video conference with one system. the system developed has the merits to low-price for it's building in a small company. we make proof the performance through the test. with using the hybrid IP-PBX, we can sharply reduce to communication cost.

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Optimization of Economic Load Dispatch Problem Using Linearly Approximated Smooth Fuel Cost Function (선형 근사 평활 발전 비용함수를 이용한 경제급전 문제의 최적화)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.3
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    • pp.191-198
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    • 2014
  • This paper proposes a simple linear function approximation method to solve an economic load dispatch problem with complex non-smooth generating cost function. This algorithm approximates a non-smooth power cost function to a linear approximate function and subsequently shuts down a generator with the highest operating cost and reduces the power of generator with more generating cost in order to balance the generating power and demands. When applied to the most prevalent benchmark economic load dispatch cases, the proposed algorithm is found to dramatically reduce the power cost than does heuristic algorithm. Moreover, it has successfully obtained results similar to those obtained through a quadratic approximate function method.