• Korean Journal of Artificial Intelligence
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• v.10 no.1
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• pp.27-32
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• 2022

As the need for eco-friendly transportation increases due to the deepening climate crisis, many local governments in Korea are introducing shared bicycles. Due to anxiety about public transportation after COVID-19, bicycles have firmly established themselves as the axis of daily transportation. The use of shared bicycles is spread, and the demand for bicycles is increasing by rental offices, but there are operational and management difficulties because the demand is managed under a limited budget. And unfortunately, user behavior results in a spatial imbalance of the bike inventory over time. So, in order to easily operate the maintenance of shared bicycles in Seoul, bicycles should be prepared in large quantities at a time of high demand and withdrawn at a low time. Therefore, in this study, by using machine learning, the linear regression algorithm and MS Azure ML are used to predict and analyze when demand is high. As a result of the analysis, the demand for bicycles in 2018 is on the rise compared to 2017, and the demand is lower in winter than in spring, summer, and fall. It can be judged that this linear regression-based prediction can reduce maintenance and management costs in a shared society and increase user convenience. In a further study, we will focus on shared bike routes by using GPS tracking systems. Through the data found, the route used by most people will be analyzed to derive the optimal route when installing a bicycle-only road.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.181-188
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• 2019

People can easily use a shared economic service system based on ICT technology. Most of the shared economic services are provided by private companies, and discussion on public goods is insufficient. If we look at the current shared economic service from the point of view of courier service, $\ddot{U}ber^{\prime}s$ system can be an alternative. The post office courier service uses ICT technology but differs from the service of the shared economy. This study uses Delphi analyzer method and AHP methodology to derive important factors in introducing shared economic system. As a result, socioeconomic characteristics were found to be the most important in the upper tier, and the shared economic platform, sharing of idle resources, popularization of smartphone, and increase of e - commerce were the four important factors in the lower tier. In order to maximize efficiency, which is the essence of the shared economy, the necessity of introduction into the shared economic system and important factors in the introduction of public goods are presented.

• World Technopolis Review
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• v.5 no.1
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• pp.47-60
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• 2016

In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

• Journal of Distribution Science
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• v.15 no.12
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• pp.73-84
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• 2017

Purpose - Over recent years, O2O and shared economy have been an eye-catching topic. Many researches on O2O and shared economy have been published gradually. The emerging enterprise of chauffeured car services developed rapidly in the past two years. Therefore, it is necessary to explore the influencing factors of use intention of the chauffeured car services users. Through active use of O2O and shared economy, put up with operation strategy in line with their use intention. Research design, data, and methodology - After collecting 324 respondents in China with questionnaires, this study begin the empirical research with users of Chauffeured Car Services, and analyzes data with IBM SPSS 24.0 and IBM AMOS 24.0. Results - Personal Propensity to Trust significantly affects the Initial Trust of chauffeured car services users. Firm Reputation significantly affects the Initial Trust and use intention of chauffeured car services users. Initial Trust significantly affects the use intention of chauffeured car services users. Performance Expectancy and Effort Expectancy significantly affect chauffeured car services users' use intention. Social Influence also significantly affects the use intention of chauffeured car services users. Conclusions - First, Initial Trust significantly affects the use intention of chauffeured car services users. Thus, the enterprise should make efforts to improve users' initial trust in order to attract their attention. For this reason, chauffeured car services enterprises should conduct questionnaires to deeply explore what needs can improve users' initial trust. Second, performance expectancy and effort expectancy significantly affect chauffeured car services users' use intention. When users enjoy chauffeured car services, they attach great importance to the convenience, simplicity and efficiency, which reflects that chauffeured car services' desire for greater development in the O2O and shared economy market. Therefore, they need to grasp users' needs (convenience, simplicity and efficiency) and carefully improve the quality of chauffeured car services. Finally, social influence also significantly affects the use intention of chauffeured car services users. It means friend recommendation or mass media influences users' intention. So, it is more important to increase differentiated benefits, advertising and publicity of chauffeured car services.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.375-399
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• 2017

This study aims to suggest a classification system for integrated management and shared use of disaster and safety information, which is currently produced and managed separately in disaster-related organizations. The study conducted a survey with organizations in charge of disaster management to analyze existing disaster-related classification systems and developed the first draft of the classification system. Later, in-depth interviews were conducted with disaster experts and a review was made by library and information science professors for the final touch. As a facet classification system consisting of 7 facets, it will be effective in supporting disaster management tasks as well as representing the complex nature of disaster and safety information.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.40-53
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• 2021

Recently, shared dockless e-scooter usage has rapidly increased, rather than the station-based shared mobility service, because of convenience. This transition leads to new social problems in urban areas such as increased traffic accidents and hindrance of pedestrian environments. In this study, we analyze the usage characteristics of shared e-scooters in Seoul, and identify factors influencing demand for shared e-scooters by developing a negative binomial regression model. As a result, the usage characteristics show that the average trip distance, the average trip duration, and the average trip speed were 1.5km, 9.4min, and 10.3km/h, respectively. Demographic factor, transport facility factors, land use factors, and weather factors have statistically significant impacts on demand for shared e-scooters. The results of this study will be used as basic data for suggesting effective operation strategies for areas with higher shared e-scooter demand and for establishing transport policies for facilitating shared e-scooter usage.

• Korean Journal of Child Studies
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• v.22 no.2
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• pp.291-300
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• 2001

This study investigated the effects of shared writing strategies within a whole language approach on children's writing behaviors and abilities. The subjects were thirty-six 5-to 6-year-old kindergarten children, 18 each in the experimental and control groups. The results indicated a significant increase in frequency of spontaneous writing, quantity of writing, and quality of writing in the experimental group compared with the control group. The educational implications for kindergarten teachers are that teachers need to integrate shared writing strategies into teacher-initiated activities and use various strategies of whole language to improve literacy learning for children.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1253-1262
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• 1999

For the efficient co-authoring of multimedia documents in a distributed systems environment, the cooperative-work management systems that can not only allow the sharing of distributed resources but also facilitate the authors' interaction, are needed. In this paper, we present a cooperative-work management system with hybrid architecture, called CW-MAN, in which the information on shared objects and co-authoring management is stored in a dedicated computer system but the shared objects distributed all over the local computer systems. The main management functions provided by the CW-MAN are those for shared objects, session, and telepointing. The shared-object use them exclusively. The session managements allows authors to dynamically create, update, and destroy sessions. Lastly, the telepointing management allows local pointing events to be synchronously presented to remote systems.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.192-196
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• 2024

The memory coherence problem occurs while mapping shared virtual memory in a loosely coupled multiprocessors setup. Memory is considered coherent if a read operation provides same data written in the last write operation. The problem is addressed in the literature using different algorithms. The big question is on the correctness of such a distributed algorithm. Formal verification is the principal term for a group of techniques that routinely use an analysis that is established on mathematical transformations to conclude the rightness of hardware or software behavior in divergence to dynamic verification techniques. This paper uses UPPAAL model checker to model the dynamic distributed algorithm for shared virtual memory given by K.Li and P.Hudak. We analyse the mechanism to keep the coherence of memory in every read and write operation by using a dynamic distributed algorithm. Our results show that the dynamic distributed algorithm for shared virtual memory partially fulfils its functional requirements.

• Journal of Korea Multimedia Society
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• v.7 no.7
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• pp.905-912
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• 2004

It is a study LVMPD to solve the fairness problem of inter-session shared bandwidth. Whenever congestion occurs in one session, the highest layer is dropped. Also the highest layer of other sessions in non-congestion is dropped by iner-session fairness. While there is spare bandwidth, receivers of session in non-congestion can't use bandwidth efficiently. In this paper, we proposed a distribution method to use efficiently spare bandwidth that occurred by inter-session fairness. In our method, we considered the highest layer those receivers receiving and the higher layer those receivers requesting. The sender assigns the packet-deleting priority to packets when congestion occurs in receivers, and sets layer add/drop flag when receivers of session in non-congestion request the higher layer. The switch deletes packets with packet-deleting priority and transfers packets with layer add/drop flag for session in non-congestion. Therefore receivers of session in non-congestion can add the higher layer. In experimental results, it was known that proposed algorithm use the inter-session shared bandwidth more effectively compared with already known method.