Nowadays, Internet users tend to do a variety of actions at the same time such as web browsing, social networking and multimedia consumption. While watching a video, once a user is interested in any product, the user has to do information searches to get to know more about the product. With a conventional approach, user has to search it separately with search engines like Bing or Google, which might be inconvenient and time-consuming. For this reason, a video annotation platform has been developed in order to provide users more convenient and more interactive ways with video content. In the future of smart TV environment, users can follow annotated information, for example, a link to a vendor to buy the product of interest. It is even better to enable users to search for information by directly discussing with friends. Users can effectively get useful and relevant information about the product from friends who share common interests or might have experienced it before, which is more reliable than the results from search engines. Social networking services provide an appropriate environment for people to share products so that they can show new things to their friends and to share their personal experiences on any specific product. Meanwhile, they can also absorb the most relevant information about the product that they are interested in by either comments or discussion amongst friends. However, within a very huge graph of friends, determining the most appropriate persons to ask for information about a specific product has still a limitation within the existing conventional approach. Once users want to share or discuss a product, they simply share it to all friends as new feeds. This means a newly posted article is blindly spread to all friends without considering their background interests or knowledge. In this way, the number of responses back will be huge. Users cannot easily absorb the relevant and useful responses from friends, since they are from various fields of interest and knowledge. In order to overcome this limitation, we propose a method to filter a user's friends for information search, which leverages semantic video annotation and social networking services. Our method filters and brings out who can give user useful information about a specific product. By examining the existing Facebook information regarding users and their social graph, we construct a user profile of product interest. With user's permission and authentication, user's particular activities are enriched with the domain-specific ontology such as GoodRelations and BestBuy Data sources. Besides, we assume that the object in the video is already annotated using Linked Data. Thus, the detail information of the product that user would like to ask for more information is retrieved via product URI. Our system calculates the similarities among them in order to identify the most suitable friends for seeking information about the mentioned product. The system filters a user's friends according to their score which tells the order of whom can highly likely give the user useful information about a specific product of interest. We have conducted an experiment with a group of respondents in order to verify and evaluate our system. First, the user profile accuracy evaluation is conducted to demonstrate how much our system constructed user profile of product interest represents user's interest correctly. Then, the evaluation on filtering method is made by inspecting the ranked results with human judgment. The results show that our method works effectively and efficiently in filtering. Our system fulfills user needs by supporting user to select appropriate friends for seeking useful information about a specific product that user is curious about. As a result, it helps to influence and convince user in purchase decisions.
Recently, social network sites are very popular with the enhancement of mobile device function and distribution. This gives rise to the registrations of the people on the social network sites and the usage of services on the social sites is also getting active. However, social network sites' venders do not provide services enough compared to the demand of users' to share contents from diverse roots by users effectively. In addition, the personal information can be revealed improperly in processes sharing policies and it is obvious that it raises a privacy invasion problem when users access the contents created from diverse devices according to the relationship by policies. However, the existing methods for the integration management of social network are weak to solve this problem. Thus, we propose a model to preserve user privacy, categorize contents efficiently, and give the access control permissions at the same time. In this paper, we encrypt policies and the trusted third party classifies the encrypted policies when the social network sites share the generated contents by users. In addition, the proposed model uses the RCBAC model to manage the contents generated by various devices and measures the similarity between relationships after encrypting when the user policies are shared. So, this paper can contribute to preserve user policies and contents from malicious attackers.
Journal of Korean Society of Disaster and Security
/
v.6
no.3
/
pp.29-34
/
2013
This study is to provide the implementation plan for standard code to efficiently manage curriculum information in disaster and safety education programs across domestic and foreign institutions, and to encourage active information sharing. Projects regarding disaster safety education have been progressed and developed since the opening of NDMI on March 2006. Efficient management and systematic operation for the existing disaster safety education contents are also required. It is essential for both domestic and foreign disaster management organizations to share and utilize their educational contents each other prior to the effect of the Framework Act on the Management of Disaster and Safety starting from February 7th, 2014. As disaster gets more complex and diverse in its types and sizes, the share of information on advanced disaster and safety education system between each countries is becoming more necessary than they ever did before. Therefore, the standard code of disaster safety education curriculum is resulted based on the flexibility that accommodates the change of education environment and extended applications in both domestic and foreign education institutions. The effective application of standard code will be a possible way to improve the disaster safety education system and help to set its correct definition.
Kim, In-Hak;Lee, Ji-Hyeon;Koh, Joon;Kim, Hee-Woong
The KIPS Transactions:PartD
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v.17D
no.3
/
pp.209-222
/
2010
As the business competition between firms is getting intense, one of the sources of competitive advantage is effectively and efficiently to create, share, and apply information/knowledge among employees. Most of the firms which conduct knowledge management are operating a Community of Practice(CoP) in order to create, share and utilize this kind of information/knowledge resource. Recently, the CoP is getting out of its informal and spontaneous manner and is beginning to be led by the top management, receiving official support, in order to achieve the organization's strategic goals. However, the corporation's strategic operation of the CoP is not only against its original characteristics but also hampers the spontaneity of its participants. Every participant has different motivation to participate and different preference for reward type. This study, with the survey of 114 respondents, found that intrinsic motivation as well as extrinsic motivation significantly affect the motivation-reward fitness. Also, the motivation-reward fit was found to influence CoP commitment which ultimately leads to knowledge sharing activity in the CoP context. This research will help knowledge management companies to figure out how the two things of participants' motivation and their reward types can fit together, and how such fitness ultimately affects the participants' commitment and their knowledge sharing activities.
In this paper, we use panel dataset from Korean linked worker-firm to analyse the effects of the workforce age structure on the productivity or labor costs. We measure 'labor productivity' as added value per capita, 'cost of labor' as labor cost per capita and estimate a dynamic panel model to study the effects of the workforce age structure on the productivity or labor costs. Empirical analysis results show that the workforce age structure is positively related to productivity and labor costs, but only up to the aged of 35-39. That is, we find that an increase in the proportion of younger workers or elder workers rather than the aged 35-39 has a negative effect on productivity and labor cost. In particular, the difference between the estimation coefficient of productivity and labor cost when the share of workers aged 50 or older is increased instead of the aged 35-39 is higher than the difference between the estimation coefficient of productivity and labor cost when the share of workers aged 30 or younger is increased instead of the aged 35-39. Our results exhibit that it is reasonable for firms to worry about declining productivity of elderly workers, whereas firms already used older workers efficiently, such as by adjusting their labor costs.
With business environments around the world facing uncertainty and complexity, companies have focused on supply chain management as one of the essential elements in securing a competitive advantage. Successful supply chain management requires internal efforts to strengthen the core competencies of the company and the integration of individual functions in the supply chain. This study aims to investigate the effect of information sharing between companies on supply chain integration and corporate performance. The research hypothesis established in previous studies was analyzed using structural equation modeling. A total of 723 questionnaire responses were used to test the hypotheses of this study. We found that the integration and sharing of information between companies have a great influence on supply chain integration, which has positive effects on corporate performance at the operational and strategic levels, including finance, market share, and customer satisfaction. The integration of supply chains via information integration and sharing between companies can promote the flow of information, services, goods, and money. Therefore, if information is disconnected between actors in the supply chain, it will lead to negative effects on the management of the entire supply chain. On the other hand, if supply chain actors can share information efficiently in real time on one platform, they can expect to optimize the entire supply chain. Information sharing and integration at the strategic and operational levels play a vital role in supply chain integration, which contributes to achieving a company's performance targets and enhancing its competitiveness.
Grid computing is an expanded technology of distributed computing technology to use low-cost and high-performance computing power in various fields. Although the purpose of Grid computing focuses on large-scale resource sharing, innovative applications, and in some case, high-performance orientation, it has been used as conventional distributed computing environment like clustered computer until now because Grid middleware does not have common sharable information system. In order to use Grid computing environment efficiently which consists of various Grid middlewares, it is necessary to have application-independent information system which can share information description and services, and expand them easily. Thus, in this paper, we propose a semantic information system framework based on web services and ontology for Grid computing environment, called WebSIS. It makes application and middleware developer easy to build sharable and extensible information system which is easy to share information description and can provide ontology based platform-independent information services. We present efficient ontology based information system architecture through WebSIS. Discovering appropriate resource for task execution on Grid needs more high-level information processing because Grid computing environment is more complex than other traditional distributed computing environments and has various considerations which are needed for Grid task execution. Thus, we design and implement resource information system and services by using WebSIS which enables high-level information processing by ontology reasoning and semantic-matching, for automation of task execution on Grid.
Since most CAD tool companies are carrying out very expensive license policies, designers are sharing CAD tools with a limited number of licenses within a design working or research group. It is important to share and use them efficiently, because CAD tool licenses are very valuable resources. Designers should know CAD tool license information such as available number of licenses, types, and configuration methods to use CAD tools properly in their group. Usually, this information is provided by managers who administrate CAD tool license servers in the specific design group. In the previous CAD tool licenses sharing methods, designers have to get CAD tool license information manually and setup the environments with their own hands, If a new designer comes into the design working group, the designer wastes unnecessary time and effort due to these manual processes. As a result, designer's productivity and utilization of CAD tools will decrease. Besides, managers also waste their time and effort, since they should provide CAD tool license information manually to each desiEner. In this paper, we present a more efficient scheme to share CAD tool licenses based on directory service. The proposed method automates not only the communication processes between managers and designers, but also the license configuration steps. We expect this scheme will reduce time and effort of designers and managers as well as enhance the utilization of CAD tools.
This study believed that records could help 'strengthen identity' and that job archives could help provide pride and identity in one's job by preserving the history and culture of it. This study investigated whether building a librarian archive could help preserve records related to librarians, share experiences and knowledge among librarians, and confirm the history and identity of oneself and the group. In-depth interviews were conducted with librarians to examine what records should be included and what records could help strengthen the librarian's identity. As a result of the interview, various records related to the work of librarians were identified, and records related to the history of librarians were also confirmed. It was found that historical events related to librarians and library services provided by previous generations of librarians will help strengthen the identity of librarians. Thus, the Librarian Archive can help librarians reflect on themselves as librarians and decide on their own direction. This study presented a plan to build a librarian archive as a participatory archive through cooperation between institutions and communities. In this study, it was expected that through building a librarian archive, it would be possible to strengthen the professional identity of librarians, share the history of librarians, create a collective intelligence platform, efficiently process work, and improve the social status of libraries and librarians.
Auction is widely used in allocation and procurement of resources due to its desirable properties: efficiency and revenue maximization. It is well-known, however, that auction may fail to achieve efficiency when allocative externalities exist. Such a result may happen in the auction of the resources that are very scarce, for example, radio spectrum. This is because allocation of the resources has effects on competition of the firms in the aftermarket, and thus a firm that utilizes the resources less efficiently may make a higher bid to lessen competition. This paper shows first that efficient allocation may not be achieved by auction even when the number of bidders is 2, while it is shown in the literature that auction may result in inefficient allocation when the number of bidders is greater than or equal to 3. There exist 2 firms, who make a bid to win the scarce resources that increase the value or decrease the production cost of their own product. After the auction ends, the firms engage in Bertrand competition on the Hotelling line. Inefficient allocation may happen even under the second-price auction rule, and it happens only when the firms are different in the initial value or the initial cost of their products as well as in the value of the auctioned resources. The firm who has been the leader loses a large portion of the market if it fails to win the auction, and thus makes a high bid even when the other firm can use the resources more efficiently. Allocative efficiency Pareto improves when the smaller firm's bid counts more than the leader's bid. This paper suggests a modified rule that the smaller firm wins the auction when its bid multiplied by some constant is greater than the leader's bid. The multiplier can be calculated from the market shares. It is equal to 1 when the two firms are the same, and is increasing in the leader's market share. Allocation is efficient in a strictly larger set of parameters under the modified rule than under the standard second-price auction rule.
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