• Journal of KIBIM
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• v.13 no.4
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• pp.54-63
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• 2023

In recent years, the mandatory use of BIM has been actively promoted due to the digital transformation of the construction industry. However, the CDE (Common Data Environment) system, which is an essential element for operating BIM, has not been established in accordance with the domestic situation. To solve this problem, this study analyzed the results of previous studies, including the ISO 19650 standard and domestic CDE system requirements, and developed BIM-based collaboration functions that are suitable for the domestic construction industry through functional analysis of domestic and foreign commercial CDE solutions. And we developed a BIM collaboration framework to provide BIM-based collaboration functions as a service by using cloud technologies such as IaaS, PaaS, and SaaS to provide infrastructure resources flexibly and flexibly. The BIM collaboration framework developed in this study meets most of the CDE requirements of ISO1965, so it can secure competitiveness when bidding for overseas BIM projects. Also, because the BIM collaboration functions can be selectively applied to build a BIM-based collaboration platform, it is expected that the utilization of the BIM collaboration framework will be high, as it can minimize not only the time to build the platform but also the operating costs, and the usability is higher than that of existing commercial BIM CDE solutions.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.253-273
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• 2015

Cloud computing is provided on demand service via the internet, allowing users to pay for the service they actually use. Categorized as one kind of cloud computing, SaaS is computing resource and software sharing model with can be accessed via the internet. Based on virtualization technology, SaaS is expected to improve the efficiency and quality of the IT service level and performance in company. Therefore this research limited cloud services to SaaS especially focused on collaborative application service, and attempts to identify the factors which impact the performance of collaboration and intention to use. This study adopts technological factors of cloud SaaS services and factors of task characteristics to explore the determinants of collaborative performance and intention to use. An experimental study using student subjects with Google Apps provided empirical validation for our proposed model. Based on 337 data collected from respondents, the major findings are following. First, the characteristics of cloud computing services such as collaboration support, service reliability, and ease of use have positive effects on perceived usefulness of collaborative application while accessability, service reliability, and ease to use have positive effects on intention to use. Second, task interdependence has a positive effects on collaborative performance while task ambiguity factor has not. Third, perceived usefulness of collaborative application have positive effects on intention to use.

• International journal of advanced smart convergence
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• v.5 no.2
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• pp.38-46
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• 2016

With the continuous effort to make business management more efficient, companies have started to utilize smart workplaces and the incorporation of mobile devices. Furthermore, big data processing, using Database as a Service (DBaas), is also being researched for integration. Similarly. mobile cloud can be utilized to allow for data sharing among employees. In this paper, in order to solve the issue of efficiency in business management, a collaboration system for data sharing using mobile cloud environment is explored. The proposed system, looks to benefit the increased integration of environment and corporate public through use of standardized data, in a design capable of efficient integrated management system.

• International journal of advanced smart convergence
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• v.5 no.2
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• pp.59-65
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• 2016

With the recent growth in cloud computing, big data processing and collaboration between businesses are emerging as new paradigms in the IT industry. In an environment where a large amount of data is generated in real time, such as SNS, big data processing techniques are useful in extracting the valid data. MapReduce is a good example of such a programming model used in big data extraction. With the growing collaboration between companies, problems of duplication and heterogeneity among data due to the integration of old and new information storage systems have arisen. These problems arise because of the differences in existing databases across the various companies. However, these problems can be negated by implementing the MapReduce technique. This paper proposes a collaboration system based on Database as a Service, or DBaaS, to solve problems in data integration for collaboration between companies. The proposed system can reduce the overhead in data integration, while being applied to structured and unstructured data.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.223-230
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• 2020

Companies have made an investment of cost and time to optimize processing of a new business model in a cloud environment, applying collaboration technology utilizing business processes in a social network. The collaborative processing method changed from traditional BPM to the cloud and a mobile cloud environment. We proposed a collaborative system for operating processes in social networks using MOXMDR-DAI+ (eXtended Metadata Registry-Data Access & Integration based multimedia ontology). The system operating cloud-based collaborative processes in application of MOXMDR-DAI+, which was suitable for data interoperation. MOXMDR-DAI+ applied to this system was an agent effectively supporting access and integration between multimedia content metadata schema and instance, which were necessary for data interoperation, of individual local system in the cloud environment, operating collaborative processes in the social network. In operating the social network-based collaborative processes, there occurred heterogeneousness such as schema structure and semantic collision due to queries in the processes and unit conversion between instances. It aimed to solve the occurrence of heterogeneousness in the process of metadata mapping using MOXMDR-DAI+ in the system. The system proposed in this study can visualize business processes. And it makes it easier to operate the collaboration process through mobile support. Real-time status monitoring of the operation process is possible through the dashboard, and it is possible to perform a collaborative process through expert search using a community in a social network environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.258-264
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• 2022

The smart farm for livestock, in which information and communication technology (ICT) is combined with livestock farm, is mostly based on the cloud computing paradigm. A cloud-based smart livestock farm has disadvantages such as increased response time, burden on cloud resource caused by the increased number of IoT sensors, traffic burden on the network, and lack of failure resilience mechanisms through collaboration with adjacent IoT devices. In this paper, with these problems in mind, we propose an IoT collaboration system based on edge computing. By using the relatively limited computing resources of the edge device to share the cloud's web server function, we aim to reduce the cloud's resources needed and improve response time to user requests. In addition, through the heartbeat-based failure recovery mechanism, IoT device failures were detected and appropriate measures were taken.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.149-166
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• 2011

While the importance of adopting cloud computing service has been emerged, comparatively little research has been conducted on examining factors of an individual user's intention to switch toward cloud computing service. Hereafter, this study presents and empirically tests users' intention to switch to cloud computing. Our model posits that the characteristics of cloud computing such as collaboration support, accessability, trust to cloud service affect perceived value, which in turn, influences intention to switch. An experimental study using student subjects provided empirical validation for our proposed model. Survey data from 106 respondents was used to test the model using partial least square analysis. According to our results, the characteristics of cloud computing were found to have significant impact on users' intention to switch that partially mediated by perceived value. Based on our research findings, we hope that this research will stimulate researchers' interest in the emerging area of cloud computing adoption.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1151-1160
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• 2018

The study has been derived through the empirical analysis so as to find the usage behavior of cloud-based common collaboration platform. Independent variables of the cloud-based platform have been selected as flexibility, reliability, versatility, security and interaction, which have been selected by utilizing UTAUT theory. After selecting the use intent as a parameter, usage behavior was been finally selected as a dependent variable. The firm type was used as a control variable. We used AMOS 23.0 and SPSS 23.0 statistical programs for the hypothesis test and distributed the questionnaires to users using the cloud-based common collaboration platform. Then, a total of 180 copies from distributed questionnaires were used for the analysis. The results showed that reliability, security and interaction had a positive effect on intention to use. On the other hand, flexibility and versatility did not affect intention to use positively. Finally, it was verified that the intention to use had a positive effect on the use behavior. At last, it showed that there is a moderation effect according to the type of company.

• The Journal of Bigdata
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• v.4 no.1
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• pp.129-142
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• 2019

Construction projects have experienced many failures due to incomplete production environments. Thus, the purpose of this study is to use ICT resources leased during the construction period at the construction site and to introduce the Mobile Cloud Computing Service, which utilizes Cloud Computing Service and mobile devices such as smart phones, tablet PCs, and notebooks instead of physically wired communication networks. The characteristics of Mobile Cloud, such as rapid accuracy, shared collaboration, and ubiquity, will affect the social network among various construction site participants. we conducted empirical research on the introduction of Mobile Cloud to promote information exchange and convergence among the participants and mutual trust, ultimately improving the project performance.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.137-142
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• 2017

In this paper, we propose proposed mobile wagering platform technology, where the buying lottery contents registered in secure storage through lottery technology can be used as a common experience in smartphones, smart pads, and PCs, etc. Currently, many people are producing and consuming various types of contents in bulk, and it is expected that real-time contents and old contents coexist as IoT(Internet of Things) technology is commonly deployed in the future. Therefore, we need to develop a differentiated service that can compete with global services in lottery contents authoring and collaboration systems to create new markets. Accordingly, we implemented an wagering service platform to occupy cloud markets with high quality lottery contents produced through collaboration.