• KIPS Transactions on Computer and Communication Systems
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• v.8 no.1
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• pp.1-8
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• 2019

In this paper, we design a new mobile crowdsourcing control scheme based on the incentive mechanism. By using a novel incentive mechanism, mobile nodes can get the maximum payoff when they report their true private information. As mobile nodes participate in the overlapping coalition formation game, they can effectively invest their resource while getting the higher reward. Simulation results clearly indicate that the proposed scheme has a better performance than the other existing schemes under various mobile crowdsourcing environments.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.97-105
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• 2014

This study attempts to review the theories and related literatures on crowd funding and build the framework to understand the core concepts of crowd funding. In addition, I explore the applicability of crowd funding platforms for start-ups. For this purpose, I analyze the framework based on the life cycles of projects on crowd funding with the components of stake-holders. Furthermore, I review the results of previous outstanding literature on pros and cons of crowd funding to identify the applicability of crowd funding for start-ups. The results show that the use of crowd funding platform alleviates the risks involved with the information goods which occupy major portion of the projects listed on crowd funding have unique cost structure with high fixed cost and very low variable cost. Consequently, crowd funding is identified as a platform for start-ups of information goods by leveraging the wisdom of crowd. However, crowd funding may not work as an effective platform for start-ups if group thinking emerges. The study provides an implication that it provides a framework for understanding crowd funding and its applicability for start-ups, which can support government's policy for creative economy. Additional empirical research analyzing the data on the projects listed on crowd funding platforms in Korea will be performed in the succeeding study.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.577-587
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• 2023

The utilization of crowdsourced spatial data has been actively researched; however, issues stemming from the uncertainty of data quality have been raised. In particular, when low-quality data is mixed into drone imagery datasets, it can degrade the quality of spatial information output. In order to address these problems, the study presents a methodology for automatically validating the geometric quality of crowdsourced imagery. Key quality factors such as spatial resolution, resolution variation, matching point reprojection error, and bundle adjustment results are utilized. To classify imagery suitable for spatial information generation, training and validation datasets are constructed, and machine learning is conducted using a radial basis function (RBF)-based support vector machine (SVM) model. The trained SVM model achieved a classification accuracy of 99.1%. To evaluate the effectiveness of the quality validation model, imagery sets before and after applying the model to drone imagery not used in training and validation are compared by generating orthoimages. The results confirm that the application of the quality validation model reduces various distortions that can be included in orthoimages and enhances object identifiability. The proposed quality validation methodology is expected to increase the utility of crowdsourced data in spatial information generation by automatically selecting high-quality data from the multitude of crowdsourced data with varying qualities.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.565-566
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• 2011

웹 2.0과 소셜미디어의 발전으로, 자발적이며 상호작용적 사용자들의 집단 지성을 활용하는 소셜 협업의 형태가 발전하고 있다. 사용자들의 참여(participation)와 대화(conversation), 소셜 세계의 커뮤니티(community)형성과 개방(openness), 연결(connectedness)을 기반으로 성장한 소셜 협업의 발전은 여러가지 형태로 진화돼 왔다. 온라인 상의 집단 협업, 크라우드 소싱이라고도 불리워지는 소셜 협업은 사용자 공동생산 구조, 제품기획 참여 및 문제해결, 크라우드소싱 마케팅 프로모션, 공동 재원 활용과 사회적 기업 등의 형태를 보이고 있다. 특히 사용자들과 함께 소셜 뉴스생산의 구조를 성공적으로 만들어가는 허핑턴포스트의 사례를 살펴보고 우리나라 온라인 뉴스에 대한 시사점과 사용자 중심의 소셜 협업 발전방안을 모색해보고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2011.06a
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• pp.150-160
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• 2011

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.107-112
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• 2014

This Study is Transfer function optimization plan of volume rendering of multi user environment. Each volume data, for appropriate transfer function, they should be adjusted parameter many times. To prevent this, we propose transfer function optimization plan using crowd sourcing. In multi user environment, we use weight value for reliability level for each user. Because transfer function parameter used previous users is provided next users, they can be used effectively optimized transfer function and can reduce attempts.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.310-310
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• 2022

최근 통신의 발달로 인하여 웹(Web)상에는 다양한 데이터들이 실시간으로 생산되고 있으며 해당 내용은 다양한 산업에서 활용되고 있다. 특히 최근에는 재난과 관련 상황에서도 소셜 네트워크 서비스(SNS) 데이터가 활용되기도 하며 기존의 수치 계측 데이터가 아닌 하나의 센서 역할을 하는 개인의 비정형데이터의 업로드가 다양한 재난 모니터링 부분에 활용되고 있는 실정이다. 특히 홍수 등의 자연재해 발생 시 개개인의 업로드 한 웹 데이터에는 시간에 따른 인구의 유동성이나 간단한 위치 정보 등을 포함하여 실제 피해의 정도를 보다 빠르고 다양한 정보로 모니터링이 가능하다. 홍수 발생 시 일반적으로 활용하는 수문 데이터는 피해의 규모가 크게 예측되는 대하천 위주로 관측이 이루어지며 관측지역과 데이터의 양이 한정되어있어 비정형데이터를 함께 활용한 연구가 필요하다. 따라서 본 연구에서는 웹에 있는 비정형 데이터들을 추출해내는 웹 크롤러를 구성하고 해당 프로그램을 활용하여 추출한 데이터들에 대해 강우 사상과 공간적 패턴을 비교 분석하여 크라우드 소싱 데이터를 적용한 홍수 피해지도의 활용방안을 제시하고자 한다.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.298-303
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• 2020

온라인 공간에서 특정인, 혹은 특정 집단의 사람들을 대상으로 한 혐오 표현은 당사자에게 정신적 고통을 미칠 뿐 아니라 이를 보는 이에게도 간접적인 불쾌함을 유발한다. 이에 관한 문제의식은 사회적으로 공감대가 형성된 바 있지만, 아직 한국어에서는 많은 연구들이 혐오 표현 자체의 논의에 집중하고 있으며, 이는 실제로 관찰되는 혐오 표현들의 자동 탐지 및 예방에는 효과적인 정보를 제공하지 못하는 것이 사실이다. 이에 우리는 실제 온라인 댓글들을 탐구하여 혐오, 모욕 및 사회적 편견을 탐지할 수 있는 모델 학습에 필요한 코퍼스 구축 가이드라인을 제작하였다. 구체적인 사례를 동반한 가이드라인과 크라우드소싱을 바탕으로 약 9천 3백 문장 가량의 코퍼스를 구축하였으며, 해당 데이터에 관한 개요와 함께 우리의 접근 방식이 어떤 점에서 기존의 담론과 연관되어 있는지에 대한 분석을 제시한다.

• Informatization Policy
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• v.23 no.2
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• pp.54-72
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• 2016

This article analyzes the latest cases of Digital Social Innovation such as crowdsourcing and online petitions for public trouble-shooting in oder to demonstrate that public engagement of the citizens on decision making can enhance the quality of democracy. Digital Social Innovation contributes to citizen's participation on decision making and policy implementation with taking advantage of digital technologies of crowdsourcing and online petitions. Active civic engagement for decision making literally helps to improve and democratize government policy. These series of processes not only improve quality and efficiency of policy governance by building up transparency and effectiveness of policy itself but also enhance the throughput legitimacy. With this article, I quote and analyze various practices of Digital Social Innovation which we had substantiated to demonstrate the effectiveness of civic engagement for decision making to improve and enhance democracy. The hypothesis that the Digital Social Innovation attempted in various ways is a principal factor of democratization could be verified. Moreover, the practices of Digital Social Innovation helps the civic participation in policy making in modern society. Finally, this article suggests an implication of Digital Social Innovation as part of efforts to ensure the involvement of throughput legitimacy for the development of democracy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.469-471
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• 2017

Those who travel to another area for work or travel acquire cquire information through various media such as Internet websites before going to the area. The way to determine whether the information you collect is reliable is to go directly to that area. However, many users may overlook the date the post was posted. when you arrive at a delicious restaurant for a travel purpose, it can happen that the restaurant is gone. In order for Smartphone Users to be able to provide reliable information about a specific region through an application, it is possible to receive information from a specific local user using the application through crowd sourcing techniques. Collect suggestions from users when there are changes in the same area, rather than accepting indiscriminate information and when duplicate content exists, it is marked on the application map so that it can be viewed by other users. It provides not only simple restaurant information, but also area-specific information such as additional information about tourist attractions or information on restrooms to solve physiological phenomena that may occur in the area where they first arrive. Application users can get information about nearby public facilities and restaurants on a GPS basis.