articles+ search results

Medical education, Science - General, General Computer Science, Coronavirus disease 2019 (COVID-19), Process (engineering), business.industry, Online learning, online learning, General Engineering, Malaysia, Computers and Information Processing, Plan (drawing), 030218 nuclear medicine & medical imaging, Education, COVID-19 epidemic, Blended learning, 03 medical and health sciences, 0302 clinical medicine, General Materials Science, The Internet, 030212 general & internal medicine, business, Psychology, and country lockdown

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.

education.field_of_study, business.industry, Computer science, Population, Recommender system, Machine learning, computer.software_genre, Adaboost algorithm, Purchasing, Session (web analytics), AdaBoost, Artificial intelligence, business, education, and computer

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.

Optimal design, Electric power system, Engineering, business.industry, Photovoltaic system, business, Demand load, Sizing, Simulation, Power (physics), Block (data storage), Graphical user interface, and Reliability engineering

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.

Arc (geometry), Disaster risk reduction, SIMPLE (military communications protocol), Computer science, business.industry, Application framework, Mobile development, Mobile telephony, Routing (electronic design automation), business, 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.

IT risk management, Risk management plan, IT risk, Actuarial science, Enterprise risk management, business.industry, Computer science, Risk analysis (business), Financial risk management, Risk factor (computing), business, and 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.

Service (systems architecture), Hypertext Transfer Protocol, Network security, business.industry, Computer science, computer.internet_protocol, Hypermedia, Virtualization, computer.software_genre, law.invention, World Wide Web, Upload, law, Server, Distributed data store, business, computer, and Humanities

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.

Distributed database, Multimedia, business.industry, Computer science, computer.software_genre, The arts, Task (project management), World Wide Web, Computer data storage, Architecture, business, Humanities, computer, and Research data

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.

World Wide Web, Convention, business.industry, Microblogging, Computer science, media_common.quotation_subject, Internet privacy, Conversation, Social media, Variety (linguistics), business, Attribution, and media_common

Twitter - a microblogging service that enables users to post messages ("tweets") of up to 140 characters - supports a variety of communicative practices; participants use Twitter to converse with individuals, groups, and the public at large, so when conversations emerge, they are often experienced by broader audiences than just the interlocutors. This paper examines the practice of retweeting as a way by which participants can be "in a conversation." While retweeting has become a convention inside Twitter, participants retweet using different styles and for diverse reasons. We highlight how authorship, attribution, and communicative fidelity are negotiated in diverse ways. Using a series of case studies and empirical data, this paper maps out retweeting as a conversational practice.

Social network, business.industry, Computer science, media_common.quotation_subject, Identity (social science), Context (language use), Representation (arts), Popularity, World Wide Web, Identity Performance, Negotiation, Data visualization, Ethnography, Conversation, business, Social identity theory, and media_common

Profiles have become a common mechanism for presenting ones identity online. With the popularity of online social networking services such as Friendster.com, Profiles have been extended to include explicitly social information such as articulated "Friend" relationships and Testimonials. With such Profiles, users do not just depict themselves, but help shape the representation of others on the system. In this paper, we will discuss how the performance of social identity and relationships shifted the Profile from being a static representation of self to a communicative body in conversation with the other represented bodies. We draw on data gathered through ethnography and reaffirmed through data collection and visualization to analyze the communicative aspects of Profiles within the Friendster service. We focus on the role of Profiles in context creation and interpretation, negotiating unknown audiences, and initiating conversations. Additionally, we explore the shift from conversation to static representation, as active Profiles fossilize into recorded traces.

World Wide Web, Data visualization, Digital artifact, Social network, Interview, Personal narrative, business.industry, Computer science, business, Electronic mail, and Storytelling

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.

Engineering, Total harmonic distortion, business.industry, System integrity, Static VAR compensator, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Control engineering, Inductor, Automotive engineering, Power system simulation, Distortion, business, Electric arc furnace, and Electronic circuit

Several issues concerning the application of supplementary series reactors to an existing arc furnace system are discussed in this paper. The impact on the melt shop bus voltage distortion, static VAr compensator (SVC) capacity limitations, harmonic filter duties, voltage flicker, and overall system integrity is discussed. On-site field measurement data are presented throughout the paper to show the actual plant operation. Development of circuit models for system analysis studies is also discussed. The plant production goals and operating experiences with the installation of the supplementary series reactors are also discussed.