• Journal of KIBIM
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• v.13 no.4
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• pp.106-114
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• 2023

In this study, we developed a method to quantify urban social costs using mobile sensing data, providing a novel approach to urban planning. By collecting and analyzing extensive mobile data over time, we transformed travel patterns into measurable social costs. Our findings highlight the effectiveness of big data in urban planning, revealing key correlations between transportation modes and their associated social costs. This research not only advances the use of mobile data in urban planning but also suggests new directions for future studies to enhance data collection and analysis methods.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.51-86
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• 2017

This study aimed to examine conceptual discussions in transcription programs based on citizens' contribution and to discuss the operation and implications of the transcription program by investigating cases on transcribing records held in overseas archival institutions. With regard to conceptual discussions, the study identified the characteristics and significance of the transcription programs predicated on the notions of citizen archivists, participatory archives, and crowdsourcing. For case analysis, the study selected five transcription programs in the United States, the United Kingdom, and Australia, which are known to be managed successfully. The analysis was conducted following six criteria, including institution and goals, records for transcription, management of participation, infrastructure, policies and guidelines, and evaluation. The transcription programs were differentiated from community archives based on self-directed participation as the programs had a specific goal to improve access to historical records moderated by institutions. Therefore, it is necessary that strategies be built to attract the sustainable participation of the public. In this respect, the study made the following suggestions to domestic services similar to the cases. The purpose of a program needs to be described, and the topics, creators, and record types that could induce interests have to be considered when selecting transcription records. It is also important that a partnership is made with a small number of participants who made a significant contribution to the program and to provide interface and tasks for the transcription, which meet the participants' needs. In addition, it is necessary that simple and effective guidelines for transcription and policies be provided for use in transcription results, and that visible participants' contribution is recognized by applying the transcription results actively to search and access records.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.167-174
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• 2015

This study examines the Personalized Oriented Customized and services in smart environments. In addition to The structure of industry is currently smart environment shifting from the manufacturing industry focusing on goods production to service industry merging and combining service and marketing. The companies are placing a higher value on the customer needs to gain a competitive edge with creation of new business model. The key dilemma in mass customization and service, though, is how product customization can be realized without increasing production cost significantly. The purpose of this study is to explore new product development strategies that facilitate mass customization and service. Specifically, we propose Crowdsourcing marketing, Digital experience technology, Recommender Systems, 3D printing technology, Flexible manufacturing systems and UX based PSS(Product-Service Systems) in new product development processes as enabling strategies for mass customization and service in smart environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.61-72
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• 2018

The purpose of this study is to analyze the impact of quality and satisfaction of mobile telecommunication service on the quality data sharing for mobile telecommunication service. Based on the theory of reasoned action(TRA), we proposed a research model that (1) service qualities significantly influence the service satisfaction and the attitude towards information sharing, (2) the attitude towards information sharing mediates between service satisfaction and the intention of information sharing, and (3) the intention of information sharing is affected by the service satisfaction and the attitude towards information sharing. Empirical analysis of mobile service users showed that the data quality of mobile communication services had a greater impact on satisfaction than voice quality. The service satisfaction had a positive effect on attitude towards information sharing and the intention of information sharing. Also, the attitude towards information sharing had a positive impact on the intention of information sharing. Based on this empirical study, we proposed a crowdsourcing as an alternative when quality data of mobile telecommunication service should be collected to improve telecommunication policy because by using collective intelligence of the crowdsourcing the government can gather more accurate and diverse data on mobile telecommunication service.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1013-1018
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• 2021

Due to the recent accident caused by the automated vehicle, discussions on the ethical aspects of AI have been actively underway. This paper confirms that AI is inevitably connected to ethical components through the concepts and techniques related to robots-AI, and argues that ethical aspects are built-in, not post facto. Furthermore, this devises a solution to the trolley dilemma that can serve as a clue to ethical problems associated with automated vehicles. Preferentially, that process contains writing Bayesian networks. Next, only important and influential data are left after the pre-processing stage, and crowd-sourcing & extrapolation is used to calculate the exact figures of the networks. Through this process, this argues that humans' subjects are certainly included in implementing algorithms and models and discusses the necessity and direction of engineering liberal arts, especially education of ethics that distinguished from major education to prevent distortions and biases abouts AI systems.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.4
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• pp.1-10
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• 2022

Attempts to interpret human perspectives using computer vision have been developed in various fields. In this paper, we propose a method for evaluating the walking environment through semantic segmentation results of images from road images. First, the Kakao Map API was used to collect road images, and four-way images were collected from about 50,000 points in JeonJu. 20% of the collected images build datasets through crowdsourcing-based paired comparisons, and train various regression models using paired comparison data. In order to derive the walkability score of the image data, the ranking score is calculated using the Trueskill algorithm, which is a ranking algorithm, and the walkability and analysis using various regression models are performed using the constructed data. Through this study, it is shown that the walkability of Jeonju can be evaluated and scores can be derived through the correlation between pixel distribution classification information rather than human vision.

• Journal of Platform Technology
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• v.11 no.5
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• pp.97-103
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• 2023

Unlike GPS, which is an outdoor positioning technology that is universally and uniformly used all over the world, various technologies are still being developed in the field of indoor positioning technology. In order to acquire accurate indoor location information, a standard of representative indoor positioning technology is required. Recently, indoor positioning technology is expanding into the Real Time Location Service (RTLS) area based on high-precision location data. Accordingly, a new type of indoor positioning technology is being proposed. Thanks to the development of artificial intelligence, artificial intelligence-based indoor positioning technology using wireless signal data of a smartphone is rapidly developing. At this time, in the process of collecting data necessary for artificial intelligence learning, data that is distorted or inappropriate for learning may be included, resulting in lower indoor positioning accuracy. In this study, we propose a data preprocessing technology for artificial intelligence learning to obtain improved indoor positioning results through the refinement process of the collected data.

• Journal of Korean Society of Rural Planning
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• v.21 no.3
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• pp.33-45
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• 2015

The oversea export of agricultural-product about item and quantity has not increased recently; especially the fresh-product has a tough issue because of period of production, price large fluctuations, customs clearance, quarantine, and uncertainty about actual locality, we need the information based construction to exchange information quickly about whole range of export and to focus capacity of participation subject for increasing the export. In this study we design the agricultural-product transaction information system based on crowdsourcing to transact the agricultural-product and the information of influencing benefit directly, and the information offering about export-procedure from participation of customs clearance, finance, distribution, buyer, and producer's guild, etc. We expect the producer's guild about agriculture that has not participate the trade to be able to export the agricultural-product and the stabilization of price to transact the product of collapsed or boomed through the agricultural-product information system based on crowdsourcing.

• Journal of Environmental Health Sciences
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• v.40 no.3
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• pp.171-177
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• 2014

Background: The development of technology can be beneficial for the life and health of human society. Crowdsourcing refers to drawing upon a large pool of individuals in order to seek services, ideas, or other contributions. With the development of information communication technology, crowdsourcing is able to provide powerful results in environmental health research. Methods: We searched 'crowdsourcing' and 'citizen science' for keywords related to the environmental health field and only selected journal articles and conference proceedings material, such as research reports and WHO reports. Results: This paper reviewed environmental health research using crowdsourcing. Examples of such research based on crowdsourcing included practices in environmental disasters, noise monitoring, global positioning system (GPS) technology, smart phones, attached portable devices and information delivery by web. Crowdsourcing methods can provide notably distinct approaches for future environmental health research. However, it is also important to protect personal information whenever crowdsourcing is applied to data generation and information dissemination. Conclusion: We expect that this review may provide useful information for the development of new environmental health research methods using crowdsourcing and citizen science.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.225-233
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• 2015

The convergence social app manufacturing platform for both demander and developer in worldwide provides a collective collaborative development approach. This platform can bring enhanced productivity with exchange of views among participants. If the assessment is not fair that many participants will leave the collective collaborative project. The previous studies verified the reliability of the evaluation based on statistical techniques. Because the previous studies did not consider the task performance of participants, do not reflect the feature of project tasks. So, the contribution scores of the participants can be distorted. In this study, we suggest the method for evaluating the development contributions value. This is considered the task performance of participants and involved the method of equitable and consistency peer assessment.