scholarly journals A Context Aware Smart Classroom Architecture for Smart Campuses

2019 ◽  
Vol 9 (9) ◽  
pp. 1837 ◽  
Author(s):  
Li-Shing Huang ◽  
Jui-Yuan Su ◽  
Tsang-Long Pao
Keyword(s):  
Technology Integration ◽  
Web Application ◽  
Building Blocks ◽  
Raspberry Pi ◽  
Context Aware ◽  
Integration Model ◽  
Smart Classroom ◽  
Smart Campus ◽  
Study Results ◽  
Smart Classrooms

The Smart campus is a concept of an education institute using technologies, such as information systems, internet of things (IoT), and context-aware computing, to support learning, teaching, and administrative activities. Classrooms are important building blocks of a school campus. Therefore, a feasible architecture for building and running smart classrooms is essential for a smart campus. However, most studies related to the smart classroom are focused on studying or addressing particular technical or educational issues, such as networking, AI applications, lecture quality, and user responses to technology. In this study, an architecture for building and running context-aware smart classrooms is proposed. The proposed architecture consists of three parts including a prototype of a context-aware smart classroom, a model for technology integration, and supporting measures for the operation of smart classrooms in this architecture. The classroom prototype was designed based on our study results and a smart classroom project in Ming Chuan University (MCU). The integration model was a layered model uses Raspberry Pi in the bottom layer of the model to integrate underlying technologies and provide application interfaces to the higher layer applications for the ease of building context-aware smart classroom applications. As a result, application interfaces were implemented using Raspberry Pi based on the proposed technology integration model, and a context-aware energy-saving smart classroom application was implemented based on the proposed classroom prototype and the implemented web application interface. The result shows that, in terms of technology, the proposed architecture is feasible for building context-aware smart classrooms in smart campuses.

scholarly journals Sustainable Technology Integration in Underserved Area Schools: The Impact of Perceived Student Change on Teacher Continuance Intention

2020 ◽  
Vol 12 (12) ◽  
pp. 4802 ◽  
Author(s):  
Hye Jeong Kim ◽  
Hwan Young Jang
Keyword(s):  
Technology Integration ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Underserved Area ◽  
Sustainable Technology ◽  
Teachers Perceptions ◽  
Smart Classroom ◽  
Student Change ◽  
The Impact ◽  
Smart Classrooms

This study aims to examine the determining factors of teachers’ continuance intention to integrate technology in a smart classroom of schools in underserved areas. Smart classrooms provide a supportive learning environment for students by equipping them with advanced multi-functional and mobile technologies. A smart classroom can provide opportunities for teaching and learning by facilitating curriculum implementation and encouraging student success. The sustainable integration of technology in a smart classroom depends on the teacher’s ability to effectively utilize digital technology in the classroom. We assessed teachers’ perceptions of their technology integration by building a research model for sustainable technology integration in an underserved area in South Korea. For this, we included four aspects of teachers’ perceptions: the frequency of technology integration, the effort toward instructional practices, student change, and continuance intention. Data were gathered via a self-administered online survey with a sample of teachers who are participating in a smart school program and were analyzed using partial least squares structural equation modeling. The findings of the study show that teachers in smart classrooms are motivated to continue technology integration when they experience positive changes among students after employing smart classroom technologies. The research findings can contribute to the efforts of educators, scholars, and policy-makers to pursue sustainable development in underserved area schools.

scholarly journals In Silico Structural Modeling and Analysis of Interactions of Tremellomycetes Cytochrome P450 Monooxygenases CYP51s with Substrates and Azoles

2021 ◽  
Vol 22 (15) ◽  
pp. 7811
Author(s):  
Olufunmilayo Olukemi Akapo ◽  
Joanna M. Macnar ◽  
Justyna D. Kryś ◽  
Puleng Rosinah Syed ◽  
Khajamohiddin Syed ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Structural Analysis ◽  
In Silico ◽  
Web Application ◽  
Cytochrome P450 Monooxygenases ◽  
Agglomerative Clustering ◽  
Ligand Complex ◽  
P450 Monooxygenase ◽  
Study Results

Cytochrome P450 monooxygenase CYP51 (sterol 14α-demethylase) is a well-known target of the azole drug fluconazole for treating cryptococcosis, a life-threatening fungal infection in immune-compromised patients in poor countries. Studies indicate that mutations in CYP51 confer fluconazole resistance on cryptococcal species. Despite the importance of CYP51 in these species, few studies on the structural analysis of CYP51 and its interactions with different azole drugs have been reported. We therefore performed in silico structural analysis of 11 CYP51s from cryptococcal species and other Tremellomycetes. Interactions of 11 CYP51s with nine ligands (three substrates and six azoles) performed by Rosetta docking using 10,000 combinations for each of the CYP51-ligand complex (11 CYP51s × 9 ligands = 99 complexes) and hierarchical agglomerative clustering were used for selecting the complexes. A web application for visualization of CYP51s’ interactions with ligands was developed (http://bioshell.pl/azoledocking/). The study results indicated that Tremellomycetes CYP51s have a high preference for itraconazole, corroborating the in vitro effectiveness of itraconazole compared to fluconazole. Amino acids interacting with different ligands were found to be conserved across CYP51s, indicating that the procedure employed in this study is accurate and can be automated for studying P450-ligand interactions to cater for the growing number of P450s.

Efficient Ontology Integration Model for Better Inference in Context Aware Computing

2011 ◽  
Vol 268-270 ◽  
pp. 841-846
Author(s):  
Soo Mi Yang
Keyword(s):  
Video Data ◽  
Smart Devices ◽  
Collaborative Network ◽  
Context Aware ◽  
Integration Model ◽  
Smart Cameras ◽  
Ontology Integration ◽  
Context Aware Computing ◽  
Heterogeneous Devices ◽  
Distributed Ontology

In this paper, we describe efficient ontology integration model for better context inference based on distributed ontology framework. Context aware computing with inference based on ontology is widely used in distributed surveillance environment. In such a distributed surveillance environment, surveillance devices such as smart cameras may carry heterogeneous video data with different transmission ranges, latency, and formats. However even smart devices, they generally have small memory and power which can manage only part of ontology data. In our efficient ontology integration model, each of agents built in such devices get services not only from a region server, but also peer servers. For such a collaborative network, an effective cache framework that can handle heterogeneous devices is required for the efficient ontology integration. In this paper, we propose a efficient ontology integration model which is adaptive to the actual device demands and that of its neighbors. Our scheme shows the efficiency of model resulted in better context inference.

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

scholarly journals Design of a Smart Classroom with Audio Visual (AV) Infrastructure for academic institutions to Enable Collaborative Learning

2021 ◽  
Vol 10 (1) ◽  
pp. 378-381
Keyword(s):  
Collaborative Learning ◽  
Public Spaces ◽  
Interactive Learning Environment ◽  
Smart Classroom ◽  
Shared Space ◽  
Effective Manner ◽  
Class Room ◽  
Primary Focus ◽  
Smart Classrooms ◽  
Technological Platforms

Smart classrooms are basically the rooms wherein students come together in a shared space to construct, manipulate, and negotiate meaning around a canvas. This enables collaborative learning in the most effective manner. The environments become immersive learning happens on walls, desks, tables, and in conversations. The interactive surfaces become shared perceptual spaces where students discuss meaning and clarity and come to a collective understanding. When there is an environment with touch screens dedicated to creating opportunities for shared perceptual meaning, the students could dig down and construct knowledge in a deeper way. If you want students exchanging, collaborating, and talking synchronously in class then shared public spaces should be the primary focus of work. There are many techniques and options for setting up a smart classroom. Depending on the requirement and fund availability, the features and technology can be chosen. The requirements in a school would be less in terms of cost and technology as the school student would not be much well versed with the technological platforms. In this paper we have discussed about a smart class room that could provide an automated interactive learning environment for a modernized classroom of a school.

scholarly journals Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes

2019 ◽  
Vol 4 ◽  
pp. 113 ◽  
Author(s):  
Venexia M Walker ◽  
Neil M Davies ◽  
Gibran Hemani ◽  
Jie Zheng ◽  
Philip C Haycock ◽  
...  
Keyword(s):  
Risk Factors ◽  
Web Application ◽  
Drug Targets ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Causal Effect ◽  
R Package ◽  
Sensitivity Analyses ◽  
Link Type ◽  
Study Results

Mendelian randomization (MR) estimates the causal effect of exposures on outcomes by exploiting genetic variation to address confounding and reverse causation. This method has a broad range of applications, including investigating risk factors and appraising potential targets for intervention. MR-Base has become established as a freely accessible, online platform, which combines a database of complete genome-wide association study results with an interface for performing Mendelian randomization and sensitivity analyses. This allows the user to explore millions of potentially causal associations. MR-Base is available as a web application or as an R package. The technical aspects of the tool have previously been documented in the literature. The present article is complementary to this as it focuses on the applied aspects. Specifically, we describe how MR-Base can be used in several ways, including to perform novel causal analyses, replicate results and enable transparency, amongst others. We also present three use cases, which demonstrate important applications of Mendelian randomization and highlight the benefits of using MR-Base for these types of analyses.

H.265 Video Streaming in Mobile Cloud Networks

Web Services ◽  
2019 ◽  
pp. 1007-1047
Author(s):  
Qi Wang ◽  
James Nightingale ◽  
Jose M. Alcaraz-Calero ◽  
Chunbo Luo ◽  
Zeeshan Pervez ◽  
...  
Keyword(s):  
Video Streaming ◽  
Video Processing ◽  
Building Blocks ◽  
Future Research ◽  
Mobile Cloud ◽  
Context Aware ◽  
Adaptive Streaming ◽  
Data Traffic ◽  
Cloud Networks ◽  
Cloud Networking

Mobile video applications have started to dominate the global mobile data traffic in recent years, and both opportunities and challenges have arisen when the emerging mobile cloud paradigm is introduced to support the resource-demanding video processing and networking services. This chapter offers in-depth discussions for content- and context-aware, adaptive, robust, secure, and real-time video applications in mobile cloud networks. The chapter describes and analyses the essential building blocks including the state-of-the-art technologies and standards on video encoding, adaptive streaming, mobile cloud computing, and resource management, and the associated security issues. The focus is context-aware adaptive streaming based on the latest video coding standard H.265 in the context of Internet-centric mobile cloud networking. Built upon selected building blocks underpinned by promising approaches and emerging standards, an integrated architecture is proposed towards achieving next-generation smart video streaming for mobile cloud users, with future research directions in this field identified.

M-Learning Generations and Interview Study Results of a Mobile Context-Aware Learning Schedule Framework

2011 ◽  
pp. 28-55 ◽  
Author(s):  
Jane Yin-Kim Yau ◽  
Mike Joy
Keyword(s):  
Mobile Learning ◽  
Adaptive Learning ◽  
Interview Study ◽  
Learning Preferences ◽  
Context Aware ◽  
Postgraduate Students ◽  
Learning Contexts ◽  
Proposed Model ◽  
Study Results ◽  
Mobile Context

Mobile learning applications can be categorized into four generations – ‘non-adaptive’, ‘learning-preferences’-based adaptive, ‘learning-contexts’-based adaptive and ‘learning-contexts’-aware adaptive. The research on our Mobile Context-aware and Adaptive Learning Schedule framework is motivated by some of the challenges within the context-aware mobile learning field. These include being able to create and enhance students’ learning opportunities in different locations by considering different learning contexts and using these as the basis for selecting appropriate learning materials for students. The authors have adopted a pedagogical approach for evaluating this framework – an exploratory interview study with potential users consisting of 37 university students. The authors targeted primarily undergraduate computing students, as well as students within other departments and postgraduate students, so that a deep analysis of a wider variety of users’ thoughts regarding the framework can be gained. The observed interview feedback gives us insights into the use of a pedagogical m-learning suggestion framework deploying a learning schedule subject to the five proposed learning contexts. Their data analysis is described and interpreted leading to a personalized suggestion mechanism for each learner and each scenario, and a proposed model for describing mobile learning preferences dimensions.

Meta-analysis of business-related research in the former Warsaw Pact and the Soviet Union countries

2017 ◽  
Vol 12 (1) ◽  
pp. 6-24 ◽  
Author(s):  
Vladimír Bureš
Keyword(s):  
Soviet Union ◽  
Semantic Analysis ◽  
Meta Analysis ◽  
National Level ◽  
Context Aware ◽  
Content Type ◽  
Related Research ◽  
Main Research ◽  
The Soviet Union ◽  
Study Results

Purpose Research focussed on various issues or perspectives of business can be considered as an important driving force for business development. The purpose of this paper is to identify the main topics and trends associated with business-related research conducted in Belarus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Russia, Slovakia and Ukraine. The study results contribute to a context-aware explanation of the dynamics of business-oriented research in individual countries. Design/methodology/approach This study both quantitatively and semantically analyses 6,166 abstracts indexed and abstracted in the Scopus database. Three main research questions and associated hypotheses are investigated. Three text-mining techniques were applied in the analysis of available resources, namely, word clustering, collocation statistics and correspondence analysis. Findings There is a growing trend in the quantity of business-related research publications associated with each country. Similarly, there is an increasing internationalisation and intensification process of research networks. It is possible to identify both general and specific business topics that are investigated in individual countries. Research limitations/implications The time spans investigated do not always correspond with the main events occurring at the national level. From the semantic analysis perspective, the shortage of records for specific time periods prevents a valid semantic analysis, and the results are dependent on the quality of the abstracts provided by the authors. The study results might be used as support for funding decisions or context-aware evaluation of research outcomes at both institutional and national level. Originality/value This study provides a unique insight into the development and mutual comparison of business-related research in the countries investigated.

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