The Extraction of Knowledge Factors of Teachers for Physical Computing Education

In informatics, physical computing focuses on interactions to realize the real world as a computing system. From 2018, how to teach the physical computing in informatics as a mandatory subject is important. The purpose of this study is to analyze the problems in the physical computing education recognized by secondary school informatics teachers and to provide implications for effective programming education. First, we extracted related keywords of physical computing in the 2015 revised informatics curriculum and science curriculum. Second, extracted keywords are classified into hardware and programming. Third, we developed a questionnaire item suitable for classification keywords. Finally, web surveys were conducted and analyzed for in-service and pre-service secondary school informatics teachers. As a result of the research, it was confirmed that the informatics teachers recognized that physical computing education was helpful for programming education. However, a large proportion of the member's lack of training time and receive appropriate education and training programs, hardware, reduced the level of knowledge about the physical computing element content

Contextual barriers to mobile health technology in African countries: a perspective piece

On a global scale, healthcare practitioners are now beginning to move from traditional desktop-based computer technologies towards mobile computing environments[1]. Consequently, such environments have received immense attention from both academia and industry, in order to explore these promising opportunities, apparent limitations, and implications for both theory and practice[2]. The application of mobile IT within a medical context, referred to as mobile health or mHealth, has revolutionised the delivery of healthcare services as mobile technologies offer the potential of retrieving, modifying and entering patient-related data/information at the point-of-care. As a component of the larger health informatics domain mHealth may be referred as all portable computing devices (e.g. mobile phones, mobile clinical assistants and medical sensors) used in a healthcare context to support the delivery of healthcare services

RETRACTED: Minimum makespan task scheduling algorithm in cloud computing

RETRACTEDFollowing a rigorous, carefully concerns and considered review of the article published in International Journal of Advances in Intelligent Informatics to article entitled “Minimum makespan task scheduling algorithm in cloud computing” Vol 2, No 3, pp. 123-130, November 2016, DOI: http://dx.doi.org/10.26555/ijain.v2i3.59.This paper has been found to be in violation of the International Journal of Advances in Intelligent Informatics Publication principles and has been retracted.The article contained redundant material, the editor investigated and found that the paper published in International Journal of Grid and Distributed Computing, Vol. 9, No. 11, pp. 61-70, 2016, DOI: http://dx.doi.org/10.14257/ijgdc.2016.9.11.05.The document and its content has been removed from International Journal of Advances in Intelligent Informatics, and reasonable effort should be made to remove all references to this article

Informatics and Natural Computation: Final Report

The purpose of this grant is to develop an interdisciplinary course in Informatics and Natural Computation that would service undergraduate computer, natural, and physical science majors. Informatics is the science of information, the practice of information processing, and the engineering of information systems. Informatics studies the structure, algorithms, behavior, and interactions of natural and artificial systems that store, process, access and communicate information. Natural computing refers to a collection of disciplines that unite nature with computing in three distinct ways: 1. Nature serves as a source of inspiration for the development of computational tools or systems that are used for solving complex problems. 2. Computers are used as a means of synthesizing the structural patterns and behaviors of natural phenomena. 3. Natural materials such as those molecules found in nature (e.g. DNA) or those designed by humans (e.g. nanotechnology) are employed as the computers. The logical intersection point between natural computing and the sciences is in the field of bioinformatics, a growing interdisciplinary scientific area aimed at analyzing, interpreting, and managing information from biological data, sequences, and structures. By employing natural computing methods, it is possible to solve bioinformatics problems in classification, clustering, feature selection, data visualization, and data mining

Informatics expertise to support life and health sciences research and industry

Computing Infrastructure and Informatics to Support Life Sciences R&D, Therapeutics, Diagnostics and Economic Development PanelInterdisciplinary collaboration between computational sciences and life/health sciences is a hallmark of the MU Informatics Institute (MUII) and its new Informatics Ph.D. program. The Institute was established to foster synergy and interdisciplinary research applications in animal, plant, human health, geospatial and microbial sciences. Creative faculty and modern computation-based research facilities combine to enable groundbreaking collaborative research that relies heavily on informatics tools and expertise. In this talk, I will briefly introduce the informatics expertise of MUII core faculty in supporting experimental scientist's R&D activities with commercialization potentials by using an example scenario in personalized medicine. There are six signature research areas that are underpinning components: (1) high-throughput sequence assembly and analysis, (2) structural bioinformatics - prediction, retrievals, and interactions, (3) large-scale and high-throughput phenotype analysis, (4) data mining and knowledge discovery from large-scale omics databases and electronic health records (5) visualization and parallelism of informatics data, and (6) geospatial informatics

Affective Medicine: a review of Affective Computing efforts in Medical Informatics

Background: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions”. AC enables investigation and understanding of the relation between human emotions and health as well as application of assistive and useful technologies in the medical domain. Objectives: 1) To review the general state of the art in AC and its applications in medicine, and 2) to establish synergies between the research communities of AC and medical informatics. Methods: Aspects related to the human affective state as a determinant of the human health are discussed, coupled with an illustration of significant AC research and related literature output. Moreover, affective communication channels are described and their range of application fields is explored through illustrative examples. Results: The presented conferences, European research projects and research publications illustrate the recent increase of interest in the AC area by the medical community. Tele-home healthcare, AmI, ubiquitous monitoring, e-learning and virtual communities with emotionally expressive characters for elderly or impaired people are few areas where the potential of AC has been realized and applications have emerged. Conclusions: A number of gaps can potentially be overcome through the synergy of AC and medical informatics. The application of AC technologies parallels the advancement of the existing state of the art and the introduction of new methods. The amount of work and projects reviewed in this paper witness an ambitious and optimistic synergetic future of the affective medicine field

Detecting itinerant single microwave photons

Single photon detectors are fundamental tools of investigation in quantum optics and play a central role in measurement theory and quantum informatics. Photodetectors based on different technologies exist at optical frequencies and much effort is currently being spent on pushing their efficiencies to meet the demands coming from the quantum computing and quantum communication proposals. In the microwave regime however, a single photon detector has remained elusive although several theoretical proposals have been put forth. In this article, we review these recent proposals, especially focusing on non-destructive detectors of propagating microwave photons. These detection schemes using superconducting artificial atoms can reach detection efficiencies of 90\% with existing technologies and are ripe for experimental investigations.Comment: 11 pages, 8 figure