• Journal of Information Processing Systems
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• 제13권1호
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• pp.184-195
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• 2017

In recent decades, the ad hoc network for vehicles has been a core network technology to provide comfort and security to drivers in vehicle environments. However, emerging applications and services require major changes in underlying network models and computing that require new road network planning. Meanwhile, blockchain widely known as one of the disruptive technologies has emerged in recent years, is experiencing rapid development and has the potential to revolutionize intelligent transport systems. Blockchain can be used to build an intelligent, secure, distributed and autonomous transport system. It allows better utilization of the infrastructure and resources of intelligent transport systems, particularly effective for crowdsourcing technology. In this paper, we proposes a vehicle network architecture based on blockchain in the smart city (Block-VN). Block-VN is a reliable and secure architecture that operates in a distributed way to build the new distributed transport management system. We are considering a new network system of vehicles, Block-VN, above them. In addition, we examine how the network of vehicles evolves with paradigms focused on networking and vehicular information. Finally, we discuss service scenarios and design principles for Block-VN.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1564-1573
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• 2016

With the spread of social media and mobile devices, people spend more time on online than ever before. As more people participate in various online activities, much research has been conducted on how to make use of the time effectively and productively. In this paper, we propose two methods which can be used to extract highlights and make searchable media indexes using online social data. For highlight extraction, we collected the comments from the online baseball broadcasting website. We adopted peak-finding algorithm to analyze the frequency of comments uploaded on the comments section of the website. For each indexes, we collected postings from soap opera forums provided by a popular web service called DCInside. We extracted all the instances when a character's name is mentioned in postings users upload after watching TV, which can be used to create indexes when the character appears on screen for the given episode of the soap opera The evaluation results shows the possibility of the crowdsourcing-based media interaction for both highlight extraction and index building.

• 터널과지하공간
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• 제28권6호
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• pp.547-554
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• 2018

크라우드소싱을 활용한 센서 자료 수집은 기존의 방식으로 얻기 어려운 고밀도 지반 진동 정보의 수집이 가능하다. 본 연구에서는 스마트폰과 같은 소형 전자기기에 탑재된 MEMS 센서를 활용한 크라우드소싱 방식 지반 진동 수집 시스템을 개발하였으며, 이를 위한 기반 체계 설계 및 클라이언트와 서버에 대한 구현을 수행하였다. 해당 시스템은 Android 기반의 스마트폰이나 Android Things 기반의 고정식 장비를 통해 진동 데이터를 신속히 수집하면서 하드웨어의 전력 및 데이터 사용량을 최소화할 수 있도록 설계되었다.

• 산경연구논집
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• 제13권6호
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• pp.9-18
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• 2022

Purpose: The government around the world is still highlighting the effect of the new variant of Covid-19. The government continues to make efforts to restore the economy through several programs, one of them is National Economic Recovery. This program is expected to increase public and investor confidence in handling Covid-19. This study aims to capture public sentiment on the economic growth rate in Indonesia, especially during the third wave of the omicron variant of the covid-19 virus, that is at the time in the fourth quarter of 2021. Research design, data, and methodology: The approach used in this research is to collect crowdsourcing data from twitter, in the range of 1st to 10th October 2021. The analysis is done by building model using Deep Learning Neural Network method. Results: The result of the sentiment analysis is that most of the tweets have a neutral sentiment on the Economic Growth discussion. Several central figures who discussed were Minister of Coordinating for the Economy of Indonesia, Minister of State-Owned Enterprises. Conclusions: Data from social media can be used by the government to capture public responses, especially public sentiment regarding economic growth. This can be used by policy makers, for example entrepreneurs to anticipate economic movements under certain conditions.

• Smart Structures and Systems
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• 제29권2호
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• pp.287-299
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• 2022

Rather than using smartphones as seismometers with designated locations and orientations, this study proposes to employ crowds' smartphones in buildings to perform fast safety assessment of buildings. The principal advantage of using crowds' smartphones is the potential to monitor the safety of millions of buildings without hardware costs, installation labor, and long-term maintenance. This study's goal is to measure the maximum interstory drift ratios during earthquake excitation using crowds' smartphones. Beacons inside the building are required to provide the location and relevant building information for the smartphones via Bluetooth. Wi-Fi Direct is employed between nearby smartphones to conduct peer-to-peer time synchronization and exchange the acceleration data measured. An algorithm to align the orientation between nearby smartphones is proposed, and the performance of the orientation alignment, interstory drift measurement, and damage level estimation are studied numerically. Finally, the proposed approach's performance is verified using large-scale shaking table tests of a scaled steel building. The results presented in this study illustrate the potential to use crowds' smartphones with the proposed approach to record building motions during earthquakes and use those data to estimate buildings' safety based on the interstory drift ratios measured.

• Smart Structures and Systems
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• 제31권2호
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• pp.141-154
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• 2023

After an earthquake, information regarding potential damage to buildings close to the epicenter is very important during the initial emergency response. This study proposes the use of crowdsourced measured acceleration response data collected from smartphones located within buildings to perform system identification of building structures during earthquake excitations, and the feasibility of the proposed approach is studied. The principal advantage of using crowdsourced smartphone data is the potential to determine the condition of millions of buildings without incurring hardware, installation, and long-term maintenance costs. This study's goal is to assess the feasibility of identifying the lowest fundamental natural frequencies of buildings without knowing the orientations and precise locations of the crowds' smartphones in advance. Both input-output and output-only identification methods are used to identify the lowest fundamental natural frequencies of numerical finite element models of a real building structure. The effects of time synchronization and the orientation alignment between nearby smartphones on the identification results are discussed, and the proposed approach's performance is verified using large-scale shake table tests of a scaled steel building. The presented results illustrate the potential of using crowdsourced smartphone data with the proposed approach to identify the lowest fundamental natural frequencies of building structures, information that should be valuable in making emergency response decisions.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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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.

• 한국전자거래학회지
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• 제20권1호
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• pp.137-151
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• 2015

인터넷의 진화와 트위터, 페이스북 등의 새로운 미디어의 등장으로 인해 인터넷 기반 플랫폼을 이용하여 대중으로부터 자금을 모으는 크라우드 펀딩이 주목 받고 있다. 하지만 이와 관련된 연구는 초입단계로 크라우드펀딩을 성공적으로 활용하고자 할 때 고려되어야 할 요인들을 분석한 실증적 연구는 부재한 실정이다. 이에 본 연구는 동기이론에 기반을 두어 참여자의 지속적 참여의도를 상승시키는 요인을 도출하여 실증적으로 검증하였다. 연구 결과 즐거움, 친밀감, 기관신뢰도, 보상기대가 지속적인 참여에 영향을 미쳤으며 모금모드 유형에 따라 참여를 유도할 수 있는 요소를 제공할 필요성을 실증적으로 증명하였다. 이를 기반으로 하여 본 연구의 학문적 및 실무적 시사점을 논의하고 아울러 연구의 한계점을 확인함으로써 향후 추가적인 연구 방향을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.77-92
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• 2020

When automatic speech recognition (ASR) is provided as a cloud service, it is easy to collect voice and application domain data from users. Harnessing these data will facilitate the provision of more personalized services. In this paper, we demonstrate our transfer learning-based knowledge service that built with the user-generated data collected through our novel system that deliveries personalized ASR service. First, we discuss the motivation, challenges, and prospects of building up such a knowledge-based service-oriented system. Second, we present a Quadruple Transfer Learning (QTL) method that can learn a classification model from a source domain and transfer it to a target domain. Third, we provide an overview architecture of our novel system that collects voice data from mobile users, labels the data via crowdsourcing, utilises these collected user-generated data to train different machine learning models, and delivers the personalised real-time cloud services. Finally, we use the E-Book data collected from our system to train classification models and apply them in the smart TV domain, and the experimental results show that our QTL method is effective in two classification tasks, which confirms that the knowledge transfer provides a value-added service for the upper-layer mobile applications in different domains.

• 한국콘텐츠학회논문지
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• 제16권11호
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• pp.644-660
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• 2016

핀테크 산업의 발전 전망과 함께 크라우드펀딩에 대한 관심이 증가하고 있다. 크라우드펀딩은 크라우드소싱에서 유래된 용어로 다수의 개인들이 참여하여 펀딩 프로젝트 실현에 기여할 수 있는 환경을 제공한다. 이중 대출형 크라우드펀딩은 기존의 금융기관을 활용하지 않고, 인터넷을 통해 대출자와 투자자를 연결시켜 주어 개인 간 대출 자금을 거래할 수 있는 플랫폼을 제공한다. 최근 대출형 크라우드펀딩이 새로운 투자 대안으로 부상하고 있는 가운데, 아직까지 관련 연구는 매우 부족한 상황이다. 본 연구에서는 크라우드펀딩 투자 참여에 영향을 줄 수 있는 요인으로 크라우드펀딩 플랫폼 측면의 특성과 투자자의 특성, 그리고 펀딩 프로젝트의 특성에 주목하고, 이들 요인들이 크라우드펀딩 참여 의도와 참여 행동(펀딩 금액 및 횟수)에 미치는 영향을 분석하였다. 연구 결과를 토대로, 대출형 크라우드펀딩 플랫폼을 통한 일반 대중들의 건전한 투자 참여 활성화를 위해 나아갈 방향을 제언하고자 한다.