China
Africa
Explore chapters and articles related to this topic
Functional Architecture for Knowledge Search
Published in Denise Bedford, Knowledge Architectures, 2020
We begin with the design principles. For this text, we begin with these two key design principles: search is intentional, and search is executed against a defined source. Looking for may be both unintentional and serendipitous, and sometimes intentional. But looking for will include many different sources. Search architectures focus on the design of the source, whereas looking for and discovery architectures focus on the design of human behavior. There is a hint of this variation in the information science literature – in the terms information seeking, information behaviors, and information retrieval. In each case, we are searching for a source that has been deliberately created based on an intentional collection of knowledge or information. That collection may be private, small, and time-limited, or it may be public, large, and time-independent. The parameters of any search are entirely constrained by the definition of the collection and the nature of the items in the collection. Even web search engines are not all-encompassing. They are grounded on rules defined for web crawlers to include or exclude source materials. Another distinction is that in searching, the source is ‘hardwired’ or its design and behavior are predefined. In contrast, looking for and discovery takes place in a much broader knowledge landscape.
Big Data in Medical Image Processing
Published in R. Suganya, S. Rajaram, A. Sheik Abdullah, Big Data in Medical Image Processing, 2018
R. Suganya, S. Rajaram, A. Sheik Abdullah
Informatics is the discipline focused on acquisition, storage and use of information in a specific domain. It is used to analyze the data, manage knowledge, data acquisition and representation, and to manage change and integrate information. Health informatics is classified into six divisions: Clinical Informatics, Medical Informatics, Bioinformatics, Nursing Informatics, Dental Informatics, Veterinary Informatics and Public Health Informatics. Public Health Informatics is an interconnection of healthcare, computer science, and information science. Public Health Informatics (PHI) is defined as the systematic application of information, computer science and technology in areas of public health, including surveillance, prevention, preparedness, and health promotion. The main applications of PHI are: promoting the health of the whole population, which will ultimately promote the health of individuals andpreventing diseases and injuries by changing the conditions that increases the risk of the population.
Data Integrative Studies in Hydroinformatics
Published in Praveen Kumar, Jay Alameda, Peter Bajcsy, Mike Folk, Momcilo Markus, Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling, 2005
Hydroinformatics encompasses the development of theories, methodologies, algorithms and tools; methods for the testing of concepts, analysis and verification; and knowledge representation and their communication, as they relate to the effective use of data for the characterization of the water cycle through the various systems (Figure 1.1). This entails issues related to data acquisition, archiving, representation, search, communication, visualization, and their use in modeling and knowledge discovery. In this context, hydroinformatics is an applied science. It sits at the cross roads of hydrology, computer science and engineering, information science, geographic information systems, and high-endcomputing. Its application domain is broad and includes urban hydrology, river basin hydrology, and hydroclimatology, to name a few.
Industry 4.0 implementation in the supply chain: a review on the evolution of buyer-supplier relationships
Published in International Journal of Production Research, 2023
Marie-Christin Schmidt, Johannes W. Veile, Julian M. Müller, Kai-Ingo Voigt
Likewise, we applied further inclusion and exclusion criteria. We included articles from business and management science, but excluded articles that primarily focus on technology and information science, computer science, and mathematics. As it was not our focus, we refrained from including articles purely focusing on information technology or company-internal logistics and transportation. The articles were limited to those with an industrial business-to-business focus. Whereas many Industry 4.0 and SCM articles can be found in Scopus’ engineering-related publication areas, when focusing on Buyer-Supplier Relationships and Social Capital, this number is quite small. Further, except for conference proceedings, no relevant articles in engineering-related journals or other disciplines regarding BSRs and Social Capital could be found.
Multimedia Teaching Mode in Colleges and Universities Based on Psychology-Based Human-Computer Interaction Interface Design
Published in International Journal of Human–Computer Interaction, 2023
As a new science, human-computer interaction occupies an important position in information science. In order to promote students’ effective learning, teachers in the information age must fully consider the differences in students’ learning styles and make full use of the advantages of multimedia. Through human-computer interaction, the visual interface design of multimedia teaching is improved and designed according to the psychological characteristics of students. In the field of education, multimedia teaching has become an important part of modern education. The use of multimedia systems in the teaching process not only changes the traditional teaching methods and teaching methods, but also opens up a new field of research and design, that is, a new field of multimedia system design.
The transformation of supply chain collaboration and design through Industry 4.0
Published in International Journal of Logistics Research and Applications, 2022
Johannes W. Veile, Marie-Christin Schmidt, Julian M. Müller, Kai-Ingo Voigt
We then applied further inclusion and exclusion criteria, as Figure 2 illustrates. The initial search string led to 7,294 articles due to the deliberately broad selection of keywords. This number was quickly reduced, though, to 826 articles by applying several criteria. First, we included articles from business and management science but excluded articles primarily focused on technology and information science, computer science, and mathematics. We also took steps to ensure sufficient quality. For instance, we omitted papers published in journals on Beall's List of Potential Predatory Journals and Publishers and those not indexed in the Journal Citation Reports and/or the SCImago Journal Rank. Within the databases, we limited our consideration to peer-reviewed journal articles in English that were at least 10 pages in length. Furthermore, many duplicates were removed. Since many publications proved to be non-peer reviewed conference papers, trade publications, or duplicates, the initial result of 7,294 articles was reduced to 826.