• Title/Summary/Keyword: As-built model

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A Study on 7-Eleven's Core Competencies: Focusing on the VRIO Model

  • LEE, Kwang-Keun
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.67-74
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    • 2022
  • In this study, the core competencies of 7-Eleven, Japan's representative convenience store, were derived through a qualitative analysis method using VRIO (value, rarity, Imitability, and organization) framework, a management strategy model based on Resource-Based View (RBV). As a result of VRIO analysis, the value can be based on the scale that 7-Eleven ranks first in the Japanese convenience store industry in terms of the number of stores and market share that it has developed based on capital. The rarity is based on the fact that raw material procurement, the main activity of a company, is establishing the nation's largest distribution channel in the entire process, from producers to logisticians and franchisees. The difficulty for Imitability is based on a dominant strategy and has secured a competitive advantage by opening stores in a specific area, improving awareness, and raising barriers to entry. As the largest company in the convenience store industry, it is confirmed that 7-Eleven is the result of organizational power that has built stores not only in Korea but also in 16 countries around the world.

Correlation Analysis between Building Damage Cost and Major Factors Affected by Typhoon

  • Yang, Sungpil;Yu, Yeongjin;Kim, Sangho;Son, Kiyoung
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.702-703
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    • 2015
  • Currently, according to the climate change, serious damage by Typhoon has been occurred in the world. In this respect, the research on the damage prediction model to minimize the damage from various natural disaster has been conducted in several developed countries. In the case of U.S, various damage prediction models of buildings from natural disasters have been used widely in many organizations such as insurance companies and governments. In South Korea, although studies regarding damage prediction model of hurricane have been conducted, the scope has been only limited to consider the property of hurricane. However, it is necessary to consider various factors such as socio-economic, physical, geographical, and built environmental factors to predict the damages. Therefore, to address this issue, correlation analysis is conducted between various variables based on the data of hurricane from 2003 to 2012. The findings of this study can be utilized to develop for predicting the damage of hurricane on buildings.

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Fostering Students' Statistical Thinking through Data Modelling

  • Ken W. Li
    • Research in Mathematical Education
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    • v.26 no.3
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    • pp.127-146
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    • 2023
  • Statistical thinking has a broad definition but focuses on the context of regression modelling in the present study. To foster students' statistical thinking within the context, teaching should no longer be seen as transfer of knowledge from teacher to students but as a process of engaging with learning activities in which they develop ownership of knowledge. This study aims at collaborative learning contexts; students were divided into small groups in order to increase opportunities for peer collaboration. Each group of students was asked to do a regression project after class. Through doing the project, they learnt to organize and connect previously accrued piecemeal statistical knowledge in an integrated manner. They could also clarify misunderstandings and solve problems through verbal exchanges among themselves. They gave a clear and lucid account of the model they had built and showed collaborative interactions when presenting their projects in front of class. A survey was conducted to solicit their feedback on how peer collaboration would facilitate learning of statistics. Almost all students found their interaction with their peers productive; they focused on the development of statistical thinking with concerted effort.

A Basic Study on Connected Ship Navigation System

  • Choi, Wonjin;Jun, Seung-Hwan
    • Journal of Navigation and Port Research
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    • v.44 no.2
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    • pp.136-143
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    • 2020
  • Maritime autonomous surface ships (MASS) has been developed over the years. But, there are many unresolved problems. To overcome these problems, this study proposes connected ship navigation system. The system comprises a slave ship and a master ship that leads the slave ship. To implement this system, communication network, route planning algorithms, and controllers are designed. The communication network is built using the transmission control protocol/Internet protocol (TCP/IP) socket communication method to exchange data between ships. The route planning algorithms calculate the course and distance of the slave ship using the middle latitude sailing method. Nomoto model is used as the mathematical model of the slave ship maneuvering motion. Then, the autoregressive with exogenous variables (ARX) model is used to estimate the parameters of Nomoto model. Based on the above model, the automatic steering controller is designed using a proportional-derivative (PD) control. Also, the speed controller is designed for the slave ship to maintain constant distance from the master ship. Sea experiments are conducted to verify the proposed system with two remodeled boats.

Wireless Energy Transfer System with Multiple Coils via Coupled Magnetic Resonances

  • Cheon, Sanghoon;Kim, Yong-Hae;Kang, Seung-Youl;Lee, Myung Lae;Zyung, Taehyoung
    • ETRI Journal
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    • v.34 no.4
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    • pp.527-535
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    • 2012
  • A general equivalent circuit model is developed for a wireless energy transfer system composed of multiple coils via coupled magnetic resonances. To verify the developed model, four types of wireless energy transfer systems are fabricated, measured, and compared with simulation results. To model a system composed of n-coils, node equations are built in the form of an n-by-n matrix, and the equivalent circuit model is established using an electric design automation tool. Using the model, we can simulate systems with multiple coils, power sources, and loads. Moreover, coupling constants are extracted as a function of the distance between two coils, and we can predict the characteristics of a system having coils at an arbitrary location. We fabricate four types of systems with relay coils, two operating frequencies, two power sources, and the function of characteristic impedance conversion. We measure the characteristics of all systems and compare them with the simulation results. The flexibility of the developed model enables us to design and optimize a complicated system consisting of many coils.

The Prediction of Optimal Pulse Pressure Drop by Empirical Static Model in a Pulsejet Bag Filter (경험모델을 이용한 충격기류식 여과집진기의 적정 탈진압력 예측)

  • Suh, Jeong-Min;Park, Jeong-Ho;Lim, Woo-Taik;Kang, Jum-Soon;Cho, Jae-Hwan
    • Journal of Environmental Science International
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    • v.21 no.5
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    • pp.613-622
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    • 2012
  • A pilot-scale pulse-jet bagfilter was designed, built and tested for the effects of four operating conditions (filtration velocity, inlet dust concentration, pulse pressure, and pulse interval time) on the total system pressure drop, using coke dust from a steel mill factory. Two models were used to predict the total pressure drop according to the operating conditions. These model parameters were estimated from the 180 experimental data points. The empirical model (EM) with filtration velocity, areal density, inlet dust concentration, pulse interval time and pulse pressure shows the best correlation coefficient (R=0.971) between experimental data and model predictions. The empirical model was used as it showed higher correlation coefficient (R=0.971) compared to that of the Multivariate linear regression(MLR) (R=0.961). The minimum pulse pressure predicted by empirical model (EM) was 5kg/$cm^2$.

Feasibility of Societal Model for Securing Internet of Things

  • Tsunoda, Hiroshi;Roman, Rodrigo;Lopez, Javier;Keeni, Glenn Mansfield
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3567-3588
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    • 2018
  • In the Internet of Things (IoT) concept, devices communicate autonomously with applications in the Internet. A significant aspect of IoT that makes it stand apart from present-day networked devices and applications is a) the very large number of devices, produced by diverse makers and used by an even more diverse group of users; b) the applications residing and functioning in what were very private sanctums of life e.g. the car, home, and the people themselves. Since these diverse devices require high-level security, an operational model for an IoT system is required, which has built-in security. We have proposed the societal model as a simple operational model. The basic concept of the model is borrowed from human society - there will be infants, the weak and the handicapped who need to be protected by guardians. This natural security mechanism works very well for IoT networks which seem to have inherently weak security mechanisms. In this paper, we discuss the requirements of the societal model and examine its feasibility by doing a proof-of-concept implementation.

The Scalability and the Strategy for EMR Database Encryption Techniques

  • Shin, David;Sahama, Tony;Kim, Steve Jung-Tae;Kim, Ji-Hong
    • Journal of information and communication convergence engineering
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    • v.9 no.5
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    • pp.577-582
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    • 2011
  • EMR(Electronic Medical Record) is an emerging technology that is highly-blended between non-IT and IT area. One of methodology to link non-IT and IT area is to construct databases. Nowadays, it supports before and after-treatment for patients and should satisfy all stakeholders such as practitioners, nurses, researchers, administrators and financial department and so on. In accordance with the database maintenance, DAS (Data as Service) model is one solution for outsourcing. However, there are some scalability and strategy issues when we need to plan to use DAS model properly. We constructed three kinds of databases such as plain-text, MS built-in encryption which is in-house model and custom AES (Advanced Encryption Standard) - DAS model scaling from 5K to 2560K records. To perform custom AES-DAS better, we also devised Bucket Index using Bloom Filter. The simulation showed the response times arithmetically increased in the beginning but after a certain threshold, exponentially increased in the end. In conclusion, if the database model is close to in-house model, then vendor technology is a good way to perform and get query response times in a consistent manner. If the model is DAS model, it is easy to outsource the database, however, some technique like Bucket Index enhances its utilization. To get faster query response times, designing database such as consideration of the field type is also important. This study suggests cloud computing would be a next DAS model to satisfy the scalability and the security issues.

Model reduction techniques for high-rise buildings and its reduced-order controller with an improved BT method

  • Chen, Chao-Jun;Teng, Jun;Li, Zuo-Hua;Wu, Qing-Gui;Lin, Bei-Chun
    • Structural Engineering and Mechanics
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    • v.78 no.3
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    • pp.305-317
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    • 2021
  • An AMD control system is usually built based on the original model of a target building. As a result, the fact leads a large calculation workload exists. Therefore, the orders of a structural model should be reduced appropriately. Among various model-reduction methods, a suitable reduced-order model is important to high-rise buildings. Meanwhile, a partial structural information is discarded directly in the model-reduction process, which leads to the accuracy reduction of its controller design. In this paper, an optimal technique is selected through comparing several common model-reduction methods. Then, considering the dynamic characteristics of a high-rise building, an improved balanced truncation (BT) method is proposed for establishing its reduced-order model. The abandoned structural information, including natural frequencies, damping ratios and modal information of the original model, is reconsidered. Based on the improved reduced-order model, a new reduced-order controller is designed by a regional pole-placement method. A high-rise building with an AMD system is regarded as an example, in which the energy distribution, the control effects and the control parameters are used as the indexes to analyze the performance of the improved reduced-order controller. To verify its effectiveness, the proposed methodology is also applied to a four-storey experimental frame. The results demonstrate that the new controller has a stable control performance and a relatively short calculation time, which provides good potential for structural vibration control of high-rise buildings.

Study on High-Density Library Storage as a Solution to the Space Shortage Problem - A Case Study of Rice University Library Service Center - (도서관의 공간문제 해결을 위한 고밀도 장서고에 관한 연구 -Rice University Library Service Center의 사례를 중심으로-)

  • Ahn, Joon-Suk
    • Journal of the Korean Institute of Educational Facilities
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    • v.17 no.6
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    • pp.23-30
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    • 2010
  • Because the effort to solve space shortage in academic libraries has never been successful, the rapid development of digital technology is being considered as a panacea to revolutionize analog libraries and to open a new era for digital libraries. However, this technology is yet to be perfected. Even with the use of digital technology, we are currently still looking for more space to accommodate newly printed materials and at the same time store valuable resources that are seldomly used. In 1985, Harvard adopted the industrial high-density shelving system into their library. No other retrieving system has proven to be more successful as the Harvard model. Presently, more than 50 colleges have built over 70 high-density library storage facilities. Rice University Library Service Center (RLSC) can be examined as an example of the Harvard-model. This paper will focus on assessing the operating system and architectural requirements of the RLSC which may allow for a more efficient, economical, and fundamental resolution to the library space shortage problem.