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Research on the remote monitoring of a hot water system using a mobile application
Published in Artde D.K.T. Lam, Stephen D. Prior, Siu-Tsen Shen, Sheng-Joue Young, Liang-Wen Ji, Engineering Innovation and Design, 2019
The development of electric water heaters with big data collection requires a sensing system. Using the electric heater physical structure to link, and the temperature sensing and the flow sensing of the internal parts the electric heater, and Measurement of electric pressure by staring water heaters, as shown in. The instruNet signal extractor is then used to transmit the digital signal to the computer. Through the compiler software program, combined with the Arduino hardware platform, the signal from the micro switch is captured, converted into the corresponding data, and can be directly output as an Excel file. To facilitate the subsequent establishment of databases and data preservation. The system specifications are shown in Table 1. The Arduino model used is the Arduino Uno, as shown in Figure 1. The Arduino Uno is ideal for developing a wide range of sensors and IoT applications.
Cloud-Based Infrastructure for Data-Intensive e-Science Applications: Requirements and Architecture
Published in Olivier Terzo, Lorenzo Mossucca, Cloud Computing with e-Science Applications, 2017
Yuri Demchenko, Canh Ngo, Paola Grosso, de Laat Cees, Peter Membrey
The required FACI should support the following features of the future SDI: Empower researchers (and garner their trust) to do their data processing on shared facilities of large data centers with guaranteed data and information security.Motivate/assure researchers that they can share or open their research environment to other researchers by providing tools for instantiation of customized preconfigured infrastructures to allow other researchers to work with existing or their own data sets.Protect data policy, ownership, linkage (with other data sets and newly produced scientific/research data) when providing (long term) data archiving. Data preservation technologies should themselves ensure data readability and accessibility with the changing technologies.
Introduction: Shared Data in Design Research
Published in Bo T. Christensen, Linden J. Ball, Kim Halskov, Analysing Design Thinking: Studies of Cross-Cultural Co-Creation, 2017
Bo T. Christensen, Linden J. Ball, Kim Halskov
As the panel debate richly illustrates, shared data do have a future in design research. A key point to take away from DTRS11 and the Open Science agenda seems to be the need for trying hard to ensure that future data-sharing projects become available to a wider research and educational community, beyond the timeline of the shared data process. The DTRS datasets, while shared across a large number of research teams, have not been preserved and shared openly beyond the timeframe of the symposia. This lack of preservation is unfortunate as it makes later data re-use, replication, and cross-dataset comparison studies difficult. There are many reasons for this lack of data preservation: DTRS data have been collected for a specific collaborative purpose and centrally involve behavioral data where data-use agreements have not typically foreseen the need for long-term data preservation at the collection stage. In DTRS11 the initial intention was to collect data preservable and shareable beyond the symposium duration for wider use in the design research community. However, since the data centrally involve videos of organizational design processes with sensitive intellectual-property information, it proved impossible to agree with the case organization on terms that allowed for wider sharing of the data beyond what was needed by the symposium participants for the purpose of researching for this book.
An empirical investigation of factors that drive a user decision to continue using cloud storage services
Published in Journal of Decision Systems, 2021
Xiaotong Liu, Victor R. Prybutok
The findings of this research also suggest that users need to be aware of several issues. Included is an awareness of the risks associated with downtime, poor performance, security breaches, and data loss. It is imperative that users select a cloud vendor that provides the needed flexible storage solutions as well as reliable service performance. Cloud storage users should evaluate the vendors’ ability to support their data preservation strategy, which includes the sensitivity of data, data sources, scheduling, backup, restore, etc. Users should seriously evaluate the reliability and flexibility of the service before they subscribe to a long-term contract with a cloud provider. Moreover, we have explored the role of perceived benefits in cloud storage services. Research on perceived benefits has pointed out that generally individual benefits are a core competency to technology persistent success. Enhancing their argument, we specify the relationship among perceived benefits, satisfaction and continuance intention decision, thereby suggesting that for cloud service vendors who tend to retain end-users, saving their time, quickening task implementation are conducive to users’ positive attitudes. These benefits also help users decide to repeat the use of cloud storage services. In other words, when they perceive more individual benefits, they were more satisfied with their cloud storage services, thereby more likely to continue using cloud storage services. To the best of our knowledge, this study is one of the earliest empirical attempts to examine and test the relationships among reliability, flexibility, service quality, perceived benefits, satisfaction, and continuance intention decision from the end-users’ perspective of cloud storage services. We also examined the mediated effects among key drivers and figured out the importance of service quality in the continuance-intention decision model. Our findings confirm that the continuance-intention decision model is suitable for explaining the importance of satisfaction to the intent to continue using an innovative computing technology or an emerging technology. Prior studies on satisfaction recognise its role in fulfiling users’ concerns, reducing undesired experience and poor service quality control over the vendors. Vendors should lengthen the period of the existing services and provide discounted larger storage space to increase user benefits and satisfaction to build loyalty users. Free upgraded storage services can increase benefits, thus, increase satisfaction.