Fernanda B. Viégas, Judith Donath, Jeff Potter, David H. Nguyen, and danah boyd
Interview, World Wide Web, Social network, business.industry, business, Personal narrative, Electronic mail, Computer science, Digital artifact, Storytelling, Data visualization, and Recall
As part of a long-term investigation into visualizing email, we have created two visualizations of email archives. One highlights social networks while the other depicts the temporal rhythms of interactions with individuals. While interviewing users of these systems, it became clear that the applications triggered recall of many personal events. One of the most striking and not entirely expected outcomes was that the visualizations motivated retelling stories from the users' pasts to others. In this paper, we discuss the motivation and design of these projects and analyze their use as catalysts for personal narrative and recall.
Computer science, Online participation, Visual search, Visualization, World Wide Web, Data science, Friendship, media_common.quotation_subject, media_common, Data visualization, business.industry, business, Social network, Usability, and Popularity
Recent years have witnessed the dramatic popularity of online social networking services, in which millions of members publicly articulate mutual "friendship" relations. Guided by ethnographic research of these online communities, we have designed and implemented a visualization system for playful end-user exploration and navigation of large scale online social networks. Our design builds upon familiar node link network layouts to contribute customized techniques for exploring connectivity in large graph structures, supporting visual search and analysis, and automatically identifying and visualizing community structures. Both public installation and controlled studies of the system provide evidence of the system's usability, capacity for facilitating discovery, and potential for fun and engaged social activity
Jedrzej Rybicki, Daniel Kurzawe, Danah Tonne, Rainer Stotzka, Volker Hartmann, Bernhard Neumair, Thomas Jejkal, Beatriz Sanchez Bribian, H. Pasic, Achim Streit, Philipp Vanscheidt, Tibor K´lm´n, Andrea Rapp, and Ariel Garcia
World Wide Web, Computer science, Multimedia, computer.software_genre, computer, The arts, Research data, Computer data storage, business.industry, business, Humanities, Architecture, Distributed database, and Scriptorium
Digital methods and collaborative research in virtual research environments are gaining in importance for the arts and humanities. The EU-funded project DARIAH aims to enhance and support digitally-enabled research across these disciplines. The most basic but nevertheless fundamental task of DARIAH is to provide sustainable storage for research data. Information contained in data like images, texts or music needs to be secured and to remain accessible even if the original information carrier becomes lost or corrupted. The heterogeneity of the humanistic data and the need for distributed, perform ant access are the main challenges in designing an archiving system for the arts and humanities. Using the "Virtual Scriptorium", a digitisation project in Trier, Germany, this paper exemplary identifies the humanistic researchers' storage needs and derives requirements for an infrastructure. As a solution, a generic architecture for a federated data zone based on the iRODS technologies is proposed. The system implemented in Trier and Karlsruhe is described and will be extended to other locations as the researchers benefit from the initial set-up.
Danah Tonne, Peter Gietz, Stefan E. Funk, and Jedrzej Rybicki
Hypertext Transfer Protocol, computer.internet_protocol, computer, Virtualization, computer.software_genre, Computer science, Humanities, Hypermedia, law.invention, law, Server, Network security, business.industry, business, Distributed data store, Authentication, World Wide Web, and Upload
Sustainable management of large amounts of research data is gaining in importance for research projects all over the world. The European project DARIAH aims to address this topic for the arts and humanities community. The DARIAH Bit Preservation, as a part of an archiving system for the arts and humanities, allows for a high performance, sustainable, and distributed storage of research data as basis of virtual research environments. A great challenge in designing such a service is to provide a standardized, consistent yet easy-to-use API for accessing the data that remains stable even if backend technology changes over time. As a solution, this paper presents the RESTful API of the DARIAH Bit Preservation which includes an administrative extension, and which is secured by an Authentication and Authorization Infrastructure (AAI) based on SAML. An exemplary implementation illustrates that the API offers distributed access by usage of the HTTP protocol and is able to handle a high number of files. Data transfer rates of up to 45 MB/s were achieved for uploading large files in the local network.
2013 5th International Conference on Computer Science and Information Technology.
IT risk, Risk management plan, Actuarial science, Computer science, Risk analysis (business), Risk factor (computing), Financial risk management, Risk management, business.industry, business, Enterprise risk management, and IT risk management
Risk Management is one of the key cares of any organization strategic management. Referring to all the activities on-going in the organizations, risks are brought in for accomplishing the activities and their targets beneficially in all portfolios. Proper benefit of risk management is finding risks and their solutions. The result from a good risk management would be the maximization of the organization's value, it will also improve the chances of success than failure with risk assessing. Almost all risk reduction activities acquire cost of all probably applicable activities typically far overcomes the resources available. Hence there is the need to cleverly pick from among those activities to achieve at a cost-effective selection. In this paper we will suggest Strategic Risk Reduction (SRR) technique for producing optimal risk reduction strategies; we will reduce risk exposure for expected income by allowing several countermeasures per risk rather than one countermeasure per risk as previous work did.
Cedric Angelo M. Festin, Danah Veronica Torres, Jan Vincent Santos, Roel Ocampo, John Norman Doctor, and Monica Kathrina Villanoy
Arc (geometry), Computer science, Disaster risk reduction, Computer security, computer.software_genre, computer, Mobile telephony, business.industry, business, Mobile development, Application framework, and Computer network
In disaster situations communication and power infrastructure could be damaged, disrupting their associated services. This could delay relief efforts and cost more lives. In situations where connections are damaged and unreliable, peer-to-peer (P2P) and delay-tolerant networking (DTN) technologies can help provide alternative communication modes particularly in support of rescue and relief operations. Combining the benefits of the store-and-forward capability of DTN and the data propagation techniques of Wi-Fi Direct, we have created a flexible framework called ARC which allows users to create applications that could meet their specific requirements, particularly those in support of emergency communications. To demonstrate our framework, we created a simple application using ARC, and used this application to evaluate its DTN and Wi-Fi Direct group recovery capabilities.
Makhalfih, Asaad, Braik, Amer, Barakat, Danah, and Kahtib, Tamer
2017 14th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT) Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT), 2017 14th International Conference on. :40-44 Oct, 2017
Danah Barakat, Amer Braik, Tamer Kahtib, and Asaad Makhalfih
2017 14th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT).
Battery (electricity), Photovoltaic system, Engineering, business.industry, business, Optimal design, Electric power system, Reliability engineering, Sizing, Demand load, Graphical user interface, Simulation, and Palestine
By the trend of utilizing photovoltaic (PV) systems, especially standalone PV system, in Palestine, the design of such system was carried out mostly using an intuitive method. Putting the intuitive method under the spot reveals a lot of its weaknesses regarding the over or under design results. However, many methods and algorithms were proposed to overcome the drawbacks of the intuitive method. Throughout this paper, we will introduce an algorithm to find the optimal design in terms of size of PV panels and battery block. The new method is mainly based on numerical basis and deals with hourly data of global radiation, demand load and ambient temperature. The proposed method has proved, as demonstrated next, its effectiveness to have results much better than the intuitive one. Such results enable the system to be either less cost system or more suitable and stable one in terms of deficit power. It has proved also the accurate prediction of the system's performance that is hourly performance of system attitude. To utilize the proposed method for stand-alone systems sizing, the method was fostered by Graphical User Interface. Which enables others to use it in order to get more effective results than intuitive method.
Algawiaz, Danah, Dobbie, Gillian, and Alam, Shafiq
2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Intelligent Systems and Knowledge Engineering (ISKE), 2019 IEEE 14th International Conference on. :324-328 Nov, 2019
Rasheed Mohammad Nassr, Abdulaziz Aborujilah, Danah Ahmed Aldossary, and Alia Ahmed Abdullah Aldossary
IEEE Access, Vol 8, Pp 186939-186950 (2020)
COVID-19 epidemic, country lockdown, online learning, Malaysia, Electrical engineering. Electronics. Nuclear engineering, and TK1-9971
The COVID-19 pandemic has struck the world and forced countries to go into lockdown including education sector. Students have been staying in hostels or houses, unable to go to university campuses. This situation has left university administrators no choice, but to have an online learning channel. Malaysian universities in particular have gone through many challenges to bring their online learning system up and ready to resume education process. However, students have found themselves caught in this situation (pure online learning) with no plan or readiness. Literature reviews showed that students encountered some challenges that could not be easily resolved. This study explored the challenges encountered by students of a government-linked university. This university is one of the largest in Malaysia with over 10 campuses across the country. This study collected 284 valid answers. The findings show that respondents lacked full readiness in this situation physically, environmentally, and psychologically with some differences in perspectives according to their gender, age, and residing state. Respondents were concerned about the implications of lockdown on their performance. The findings of this study indicate that a sudden switch to a pure online alternative creates considerable challenges to students who have no plans to be physically apart from classes. The findings also indicate that the current blended learning process which uses online learning as a support mechanism for face-to-face learning has faced a considerable challenge to replace it, particularly with unprepared students.
The goal of ecommerce recommender systems is to increase sales by providing accurate recommendations to the users. However, users purchase intention plays a vital role in making a purchase and ignoring their desire to make a purchase before providing a recommendation can negatively influence recommendation accuracy because it does not target the specific users. The proposed model identifies eight factors that can influence a user’s purchase intention and categorises them as user and population behaviors. These factors are fed into the AdaBoost algorithm to predict a user’s purchase intention. The results show that we achieve high accuracy and the ROC area is 0.91, when we use the identified factors to predict a user’s purchase intention. The proposed model outperforms two state-of-the-art models that have been used to predict a user’s purchase intention.