• Journal of Digital Convergence
• /
• v.11 no.1
• /
• pp.181-190
• /
• 2013

The recent advance of information and communication technologies has made the identity of public libraries ambiguous. Few literatures have dealt with a local community public library from knowledge creation perspective. In this article we extend the applicability of the concepts such as knowledge management and knowledge city to local public libraries whose major role needs to change from the traditional book rental to knowledge and social capital creating entity. Based on the concepts, we propose a framework for analyzing the public library as a center of knowledge creation. Using the framework, we analyze the Ridgewood Public Library in New Jersey to test the validity of the framework.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.11
• /
• pp.3638-3657
• /
• 2022

In urban vehicular edge computing (VEC) environments, one edge server always serves many task requests in its coverage which results in the resource-constrained problem. To resolve the problem and improve system utilization, we first design a general hierarchical resource management framework based on typical VEC network structures. Following the framework, a specific interacting protocol is also designed for our decision algorithm. Secondly, a greedy bidding-based multi-hop task scheduling decision algorithm is proposed to realize effective task scheduling in resource-constrained VEC environments. In this algorithm, the goal of maximizing system utility is modeled as an optimization problem with the constraints of task deadlines and available computing resources. Then, an auction mechanism named greedy bidding is used to match task requests to edge servers in the case of multiple hops to maximize the system utility. Simulation results show that our proposal can maximize the number of tasks served in resource constrained VEC networks and improve the system utility.

• Clean Technology
• /
• v.28 no.2
• /
• pp.138-146
• /
• 2022

Electricity has become a factor that dramatically affects the market economy. The day-ahead system marginal price determines electricity prices, and system marginal price forecasting is critical in maintaining energy management systems. There have been several studies using mathematics and machine learning models to forecast the system marginal price, but few studies have been conducted to develop, compare, and analyze various machine learning and deep learning models based on a data-driven framework. Therefore, in this study, different machine learning algorithms (i.e., autoregressive-based models such as the autoregressive integrated moving average model) and deep learning networks (i.e., recurrent neural network-based models such as the long short-term memory and gated recurrent unit model) are considered and integrated evaluation metrics including a forecasting test and information criteria are proposed to discern the optimal forecasting model. A case study of South Korea using long-term time-series system marginal price data from 2016 to 2021 was applied to the developed framework. The results of the study indicate that the autoregressive integrated moving average model (R-squared score: 0.97) and the gated recurrent unit model (R-squared score: 0.94) are appropriate for system marginal price forecasting. This study is expected to contribute significantly to energy management systems and the suggested framework can be explicitly applied for renewable energy networks.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.639-640
• /
• 2015

Traditional construction planning based on historical data and heuristic adjustment can no longer incorporate all the operational details and guarantee the expected performance. The variation between the expected and the actual production leads to cost overruns or delay. Although predicting reliable productivity on construction site is getting more important, the difficulty of this increases. In this regard, this paper suggested to develop BIM-integrated simulation framework. This framework could predict productivity dynamics by considering factors affecting on construction productivity at operational phase. We developed the following processes; 1) enabling a BIM model to produce input data for simulation; 2) developing the construction operation simulation; 3) running simulation using BIM data and obtaining productivity results. The BIM-integrated simulation framework was tested with structural steel erection model because steel erection work is one of the most critical process influencing on the whole construction budget and duration. We could improve to predict more dynamic productivity from this framework, and this reliable productivity helps construction managers to optimize resource allocation, increase schedule reliability, save storage cost, and reduce material loss.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.19 no.2
• /
• pp.133-142
• /
• 2015

The budget for public buildings is expected to increase to their maintenance, and the systematic maintenance and sufficient budget are recognized as the important factors for building maintenance. In Korea, buildings are not systematically maintained due to the lack of manpower, expertise and basis of maintenance budget estimates. Compared with Australia where the facility maintenance is optimized through asset management, Korea has only passive maintenance systems that focus on regulations. The introduction of the systematic asset management is required to ensure the advanced building maintenance in Korea. In this study, the asset management processes for social infrastructure facilities in and out of Korea were analyzed, and the asset management framework for public buildings were established. The asset management procedure consisted of ordinary asset management procedure, selective asset value assessment. The framework in this study was developed focusing on the asset management task for public buildings and presented the detailed contents of each step. The application of this framework to the actual work will enable the systematic management of building's value and performance, and the efficient appropriation of the maintenance budget.

• Korean Journal of Construction Engineering and Management
• /
• v.12 no.1
• /
• pp.141-152
• /
• 2011

The market volume of urban regeneration projects has steadily increased, thereby mixed-use development also shows significant market growth. However, previous researches on urban regeneration mainly deduced suggestions and plans for institution improvement based on comparison between projects implemented the inside and outside of the country. Whereas, researches on project management closely related to project success were limited, particularly in performance management. Accordingly, this research aims at developing a program performance management framework for public clients so as to succeed mixed-use development projects. Through extensive literature review and expert interview, this research developed performance indices for diverse facilities, risk management framework and integrating method of program performance score. The proposed framework is able to consider total life cycle from basic planning to maintenance phase and to check real-time performance level. Moreover, risk management framework can periodically assess and control the level of inherent risks within performance indices. The results can contribute to improve existing performance management practices and be basis for a web-based system developed in future.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.10
• /
• pp.4339-4347
• /
• 2014

Purpose: This study aimed at exploring treatment delay (TD) among cancer patients in China with an attempt to develop a practical methodology facilitating frontline Chinese clinicians in promoting earlier cancer diagnosis and treatment. Materials and Methods: The study comprised framework development, qualitative interviews and paired factor rating. Framework development utilized systematic literature review, soft systems thinking and consensus groups. Qualitative interviews employed a checklist of open questions soliciting information about all the domains included the framework from cancer patients drawn via stratified randomized sampling of inpatients at 10 hospitals in Hefei, China. Paired factor rating used a self-developed computer aid and the interviewed patients as referring cases to weigh the relative importance of the factors listed in the framework in terms of their contributions to specific components of total delay (TD). Results: a) A conceptual framework was proposed consisting of a 6-step path to TD and 36 category determinants. b) A total of 227 patients were interviewed; their TD was 267.3 mean or 108 median days ranging from 0 to 2475 days; average appraisal, illness, behavioral, preparation and treatment delay accounted for 52.1%, 9.4%, 0.30%, 8.8% and 29.4% of the TD respectively. Individual side factors were rated substantially more important than environmental side factors (60% vs. 40%); most influential TD factors included cancer symptoms, overall health, family relations and knowledge about cancer and health. Conclusions: The framework proposed together with the interviewing and rating approaches used provide a potential new methodology for understanding cancer patients' TD and promoting earlier cancer treatment.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37B no.10
• /
• pp.877-888
• /
• 2012

Network virtualization technology is a crucial research issue of Future Internet which pursues a service-oriented architecture so-called NaaS (Network as a Service) or SDN (Software Defined Network). Network virtualization is expected to play an important role in Future Internet researches as a network testbed technology which enables innovative protocols to be experimented independently on a common testbed environment. We propose a control framework in order to provide user defined topology and bandwidth services with network virtualization and to separate and manage multiple-user traffics in a small and medium scale - single domain research network. The proposed framework (VIMS; Virtual network Integrated control and Management System) supports testbed expansions without any changes of heterogeneous virtual network support equipments through accommodation of each equipment's control plane. The framework shows a feasibility through applied to KOREN and we describe the differences and further study directions for improvement the framework comparing with GENI control framework.

• Korean Journal of Construction Engineering and Management
• /
• v.5 no.5 s.21
• /
• pp.172-182
• /
• 2004

The performance measurement system of a company is an important tool to evaluate business result, to manage human resource and to achieve strategic management goals. Until 1990's, the performance in most of companies had been measured by financial perspectives. Recently non-financial perspectives with various and balanced view points are used. In the construction industry, the same situation is happened. However, effective tools are not developed yet. Therefore, this research proposes a framework of the comparable performance measurement in the construction industry. This framework is based on concept of the balanced scorecard(BSC) and prepared respectively for owner, contractor and architect/engineer Using this framework, it is possible to compare performance of a company with each other and to benchmark the best performance.

• Journal of Information Science Theory and Practice
• /
• v.12 no.3
• /
• pp.49-62
• /
• 2024

Strategy monitoring is essential for business management and for administrators, including managers and executives, to build a data-driven organization. Having a tool that is able to visualize strategic data is significant for business intelligence. Unfortunately, there are gaps between business users and information technology departments or business intelligence experts that need to be filled to meet user requirements. For example, business users want to be self-reliant when using business intelligence systems, but they are too inexperienced to deal with the technical difficulties of the business intelligence systems. This research aims to create an automatic matching framework between the key performance indicators (KPI) formula and the data in database systems, based on ontology concepts, in the case study of Prince of Songkla University. The mapping data schema with ontology (MapDSOnto) framework is created through knowledge adaptation from the literature review and is evaluated using sample data from the case study. String similarity methods are compared to find the best fit for this framework. The research results reveal that the "fuzz.token_set_ratio" method is suitable for this study, with a 91.50 similarity score. The two main algorithms, database schema mapping and domain schema mapping, present the process of the MapDS-Onto framework using the "fuzz.token_set_ratio" method and database structure ontology to match the correct data of each factor in the KPI formula. The MapDS-Onto framework contributes to increasing self-reliance by reducing the amount of database knowledge that business users need to use semantic business intelligence.