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Search Results: 1 - 10 of 116 matches for " Crowd Sourcing "
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The Dynamic Prediction Model of Number of Participants in Software Crowd Sourcing Collaboration Development Project  [PDF]
Yu-Tang Zheng, Sun-Jen Huang, Te-Hsin Peng
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.612010
Many online platforms providing crowd with opportunities to participate in software development projects have been existed for a while. Meanwhile, many enterprises are using crowd source to collaboratively develop their software via these platforms in recent years. However, some software development projects in these platforms hardly attract users to join. Therefore, these project owners need a way to effectively predict the number of participants in their projects and accordingly well plan their software and project specifications, such as the program language and the size of the documentation, in order to attract more individuals to participant in the projects. Compared with the past prediction models, our proposed model can dynamically add the factors, such as number of participants in the initial stage of the project, within the project life cycle and make the adjustment to the prediction model. The proposed model was also verified by using cross validation method. The results show that: 1) The models with the factor “the number of user participation” is more accurate than the model without it. 2) The factors of crowd dimension are more influential on the prediction accuracy than those of software project and owner dimensions. It is suggested that the project owners not only just consider those factors of the software project dimension in the initial stage of the project life cycle but also those factors of crowd and interaction dimensions in the late stage to attract more participants in their projects.
Crowd-sourced Open Courseware Authoring with SlideWiki.org
S?ren Auer,Ali Khalili,Darya Tarasowa
International Journal of Emerging Technologies in Learning (iJET) , 2013, DOI: 10.3991/ijet.v8i1.2539
Abstract: While many Learning Content Management Systems are available, the collaborative, community-based creation of rich e-learning content is still not sufficiently well supported. Few attempts have been made to apply crowd-sourcing and wiki-approaches for the creation of e-learning content. In this article, we showcase SlideWiki -- an Open Courseware Authoring platform supporting the crowdsourced creation of richly structured learning content.
An Empirical Analysis of Communication on Trust Building in Virtual Teams  [PDF]
Makoto Shinnishi, Kunihiko Higa
Journal of Service Science and Management (JSSM) , 2018, DOI: 10.4236/jssm.2018.112020
Abstract: This research aims to analyze the communication on trust building in virtual teams. Ten teams consisting of three workers (an editor, a designer, and a coder) were asked to create a sample web page in one week. All workers were in remote environment and a text-only communication tool was provided to all teams. In addition, five teams could use a non-text communication tool through which one can see other member’s situation with a web camera image and a short text message. All communication logs were collected and classified into three types: formal communication, informal communication, and awareness communication. All participated workers answered the questionnaire about trust before and after the task was completed. The analysis results based on the questionnaire and communication log data are discussed at the end. The result shows the use of non-text communication tool did not affect trust building; however, amount of awareness communication affected trust building. Log-in to the communication system at the same time also affected trust building. The findings of this study showed the tendency of awareness communication helping team building trust in the remote environment.
Human Sensor Web Crowd Sourcing Security Incidents Management in Tanzania Context  [PDF]
Maduhu Mshangi, Edephonce Ngemera Nfuka, Camilius Sanga
Journal of Information Security (JIS) , 2018, DOI: 10.4236/jis.2018.93014
Abstract: Security incidents affecting information systems in cyberspace keep on rising. Researchers have raised interest in finding out how to manage security incidents. Various solutions proposed do not effectively address the problematic situation of security incidents. The study proposes a human sensor web Crowd sourcing platform for reporting, searching, querying, analyzing, visualizing and responding to security incidents as they arise in real time. Human sensor web Crowd sourcing security incidents is an innovative approach for addressing security incidents affecting information systems in cyberspace. It employs outsourcing collaborative efforts initiatives outside the boundaries of the given organization in solving a problematic situation such as how to improve the security of information systems. It was managed by soft systems methodology. Moreover, security maturity level assessment was carried out to determine security requirements for managing security incidents using ISO/IEC 21827: Systems security engineering capability maturity model with a rating scale of 0 - 5. It employed descriptive statistics and non-parametric statistical method to determine the significance of each variable based on a research problem. It used Chi-Square Goodness of Fit Test (X2) to determine the statistical significance of result findings. The findings revealed that security controls and security measures are implemented in ad-hoc. For managing security incidents, organizations should use human sensor web Crowd sourcing platform. The study contributes to knowledge base management learning integration: practical implementation of Crowd sourcing in information systems security.
User Collaboration for Improving Access to Historical Texts
Clemens Neudecker,Asaf Tzadok
Liber Quarterly : The Journal of European Research Libraries , 2010,
Abstract: The paper will describe how web-based collaboration tools can engage users in the building of historical printed text resources created by mass digitisation projects. The drivers for developing such tools will be presented, identifying the benefits that can be derived for both the user community and cultural heritage institutions. The perceived risks, such as new errors introduced by the users, and the limitations of engaging with users in this way will be set out with the lessons that can be learned from existing activities, such as the National Library of Australia's newspaper website which supports collaborative correction of Optical Character Recognition (OCR) output. The paper will present the work of the IMPACT (Improving Access to Text) project, a large-scale integrating project funded by the European Commission as part of the Seventh Framework Programme (FP7). One of the aims of the project is to develop tools that help improve OCR results for historical printed texts, specifically those works published before the industrial production of books from the middle of the 19th century. Technological improvements to image processing and OCR engine technology are vital to improving access to historic text, but engaging the user community also has an important role to play. Utilising the intended user can help achieve the levels of accuracy currently found in born-digital materials. Improving OCR results will allow for better resource discovery and enhance performance by text mining and accessibility tools. The IMPACT project will specifically develop a tool that supports collaborative correction and validation of OCR results and a tool to allow user involvement in building historical dictionaries which can be used to validate word recognition. The technologies use the characteristics of human perception as a basis for error detection.
Overload injuries in barefoot/minimal footwear running: evidence from crowd sourcing
Martin Daumer,Christine Kleinmond,Christoph Stolle,Christian Lederer,Marc Hilgers,Markus Walther
PeerJ , 2015, DOI: 10.7287/peerj.preprints.250v1
Abstract: Background: The incidence of injuries in minimal footwear or barefoot runners compared to runners using conventional running shoes is still being discussed.
Human Geomatics in Urban Design—Two Case Studies
Ma?gorzata Hanzl,Karol Dzik,Paulina Kowalczyk,Krystian Kwieciński,Ewa Stankiewicz,Agata ?. Wierzbicka
Future Internet , 2012, DOI: 10.3390/fi4010347
Abstract: The mapping of different aspects of urban phenomena and their relation to the physical cityscape has been greatly extended by the use of geomatics. The tradition to base reasoning on ‘ understanding the world’ dates from the time of Aristotle. The extension plan for Barcelona (Eixample), developed by Cerdà, which opened the era of modern urban planning, was preceded by analyses of rich data, describing both detailed demographic issues and physical structures. The contemporary, postmodernist city planning continues this tradition, although a shift towards analyses of more human-related issues can be observed, covering, inter alia, citizens’ perception, cultural differences and patterns of human activities with regard to distinct social groups. The change towards a more human-related perspective and the inclusion of urban morphology analyses are direct consequences of this trend. The required data may be gathered within a crowd-sourcing participation process. According to communicative planning theory, communication with the wider public is indispensable in order to achieve the best results, and can be realized with the use of sophisticated IT tools. Evidence-based reasoning may be supported by images of significant aesthetic values, which inspire immediate reactions.
From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks
Andrea Thomer,Gaurav Vaidya,Robert Guralnick,David Bloom
ZooKeys , 2012, DOI: 10.3897/zookeys.209.3247
Abstract: Biological field notebooks are records of lives spent outside in nature. Part diary, part scientific record, field notebooks often contain details required to understand the location and environmental conditions existent during collecting events. Despite their clear value for (and recent use in) global change studies, the text-mining outputs from field notebooks have been idiosyncratic to specific research projects, and impossible to discover or re-use. Best practices and workflows for digitization, transcription, extraction, and integration with other sources are nascent or non-existent. In this paper, we demonstrate a model workflow to generate structured outputs while also maintaining linkages to the original texts. The first step in this workflow was placing already digitized and transcribed field notebooks from the University of Colorado Museum of Natural History founder, Junius Henderson, on Wikisource, an open manuscript-editing platform. Next, we created Wikisource-specific templates to document places, dates, and taxa to facilitate annotation and wiki-linking. We then requested help from the public, through social media tools, to take advantage of volunteer efforts and energy. After three notebooks were fully annotated, content was converted into XML and annotations were extracted and placed into Darwin Core compliant record sets. Finally, these record sets were vetted, specifically to provide valid taxon names, via a process we call “taxonomic referencing.” The result is identification and mobilization of 1076 observations from three of Henderson’s thirteen notebooks and a publishable Darwin Core record set for use in other analyses. Although challenges remain, this work demonstrates a feasible approach to unlock observations from field notebooks that enhances their discovery and interoperability without losing the narrative context from which those observations are drawn.
Product Networks, Component Modularity and Sourcing
Anupam Agrawal
Journal of technology management & innovation , 2009,
Abstract: This paper develops product representations as component networks that evolve from sharing of interfaces with other components in a product and links them to the external world of sourcing. The paper formally defines and develops two measures of component modularity by linking Graph Theory and Product Architecture principles. The first measure, degree modularity, is related to the strength of design dependencies with adjacent components. The second measure, bridge modularity, is related to the criticality of components. These two component modularity measures are calculated and interpreted by studying the actual product architecture of two products - a small machinery product and an automobile subsystem. A sourcing framework is suggested, treating product obsolescence as a moderating variable in the effect of modularity on sourcing. The paper concludes with a discussion of how component modularity measures can help managers to take better decisions in the arena of sourcing – both at an operational level and at the strategic level. Directions for future work are discussed.
Tracking Individual Targets in High Density Crowd Scenes Analysis of a Video Recording in Hajj 2009  [PDF]
Mohamed H. Dridi
Current Urban Studies (CUS) , 2015, DOI: 10.4236/cus.2015.31005
Abstract: In this paper we present a number of methods (manual, semi-automatic and automatic) for tracking individual targets in high density crowd scenes where thousands of people are gathered. The necessary data about the motion of individuals and a lot of other physical information can be extracted from consecutive image sequences in different ways, including optical flow and block motion estimation. One of the famous methods for tracking moving objects is the block matching method. This way to estimate subject motion requires the specification of a comparison window which determines the scale of the estimate. In this work we present a real-time method for pedestrian recognition and tracking in sequences of high resolution images obtained by a stationary (high definition) camera located in different places on the Haram mosque in Mecca. The objective is to estimate pedestrian velocities as a function of the local density. The resulting data of tracking moving pedestrians based on video sequences are presented in the following section. Through the evaluated system the spatiotemporal coordinates of each pedestrian during the Tawaf ritual are established. The pilgrim velocities as function of the local densities in the Mataf area (Haram Mosque Mecca) are illustrated and very precisely documented. Tracking in such places where pedestrian density reaches 7 to 8 persons/m2 is extremely challenging due to the small number of pixels on the target, appearance ambiguity resulting from the dense packing, and severe inter-object occlusions. The tracking method which is outlined in this paper overcomes these challenges by using a virtual camera which is matched in position, rotation and focal length to the original camera in such a way that the features of the 3D-model match the feature position of the filmed mosque. In this model an individual feature has to be identified by eye, where contrast is a criterion. We do know that the pilgrims walk on a plane, and after matching the camera we also have the height of the plane in 3D-space from our 3D-model. A point object is placed at the position of a selected pedestrian. During the animation we set multiple animation-keys (approximately every 25 to 50 frames which equals 1 to 2 seconds) for the position, such that the position of the point and the pedestrian overlay nearly at every time. By combining all these variables with the available appearance information, we are able to track individual targets in high density crowds.
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