mode Episode 110: Falling in Modern Love By www.ancientfaith.com Published On :: 2019-11-27T18:54:23+00:00 The girls discuss the podcast-gone-Amazon series, Modern Love. They reflect on the nature of "modern" love, how love makes us vulnerable, and how true love calls us to become real. They close with their Top 5 Love Stories That Are Not About Romantic Love. Full Article
mode The Production of Byzantine Liturgical Art in Contrast to Modern Secular Art By www.ancientfaith.com Published On :: 2014-05-13T01:55:31+00:00 Fr. John discusses the ways in which iconography was defined and produced in Byzantine Christendom. Full Article
mode Faith in Fantasy: Finding God in Modern Culture By www.ancientfaith.com Published On :: 2015-10-04T05:53:16+00:00 Fr. Ted delivers a lecture in Calgary at St. Vladimir's Ukrainian Orthodox Church Lenten Retreat. Full Article
mode Modern Gnostics By www.ancientfaith.com Published On :: 2015-10-05T03:12:10+00:00 When we change teachings of the Faith, we are no longer preaching Truth. Full Article
mode Rod Dreher on The Challenges of Modern Islam and What the Media Aren't Telling Us By www.ancientfaith.com Published On :: 2007-04-14T11:38:06+00:00 Steve and Kevin interview syndicated columnist Rod Dreher about today's Islamic faith. Buckle up! Full Article
mode Calvin Forum Moderator Becomes Orthodox By www.ancientfaith.com Published On :: 2008-07-05T06:15:45+00:00 Kevin interviews Robert Meyering, the former moderator of the Calvin Forum, now Orthodox Christian. Full Article
mode Ecclesiology and Nationalism in the Postmodern Era By www.ancientfaith.com Published On :: 2014-09-17T19:41:27+00:00 Bobby Maddex interviews Dr. Paul Meyendorff, the Alexander Schmemann Professor of Liturgical Theology and the editor of the St. Vladimir’s Theological Quarterly journal, about a 2012 conference on Orthodox ecclesiology and nationalism that took place at the Volos Academy for Theological Studies, the papers from which have just been published in St. Vladimir's Theological Quarterly. Full Article
mode Oasis, a playable real-time AI model trained on Minecraft video footage By oasis-model.github.io Published On :: Mon, 04 Nov 2024 21:34:26 +0000 anything out of frame is immediately forgotten, making it very dream-like and surreal to explore # Full Article Links
mode Role Models By www.ancientfaith.com Published On :: 2015-10-31T03:45:35+00:00 Fr. Apostolos encourages us to let the light of Christ shine through us. Full Article
mode How Do I Live Modestly in the World? By www.ancientfaith.com Published On :: 2016-05-16T13:05:12+00:00 Full Article
mode Woven: An Interactive Book for the Modern Teenage Girl on Orthodox Christianity By www.ancientfaith.com Published On :: 2019-09-21T21:10:07+00:00 Bobby Maddex interviews Paula Marchman with the GOA Family Life Ministry in Atlanta and Edna King, one of the individuals behind Woven: An Interactive Book for the Modern Teenage Girl on Orthodox Christianity. Full Article
mode The Apostolic Model By www.ancientfaith.com Published On :: 2020-01-06T21:53:18+00:00 In 1 Corinthians 4:16, Paul urges the Corinthian Christians to be imitators of him. In what ways should they, and we, do this? Full Article
mode Tech Life: The dangerous job of online moderating By www.bbc.co.uk Published On :: Tue, 12 Nov 2024 20:30:00 GMT We hear from a former moderator in Kenya who was left traumatised by his previous job. Full Article
mode Caribbean disturbance has potential path toward Florida, models show | Tracking the Tropics By www.yahoo.com Published On :: 2024-11-12T15:55:13Z Full Article
mode Watch: Police target fishing boat over 'modern slavery' claim By www.bbc.com Published On :: Wed, 06 Nov 2024 22:52:26 GMT A 38-year-old man was arrested and two Ghanaian men were removed from the vessel as part of the operation. Full Article
mode Strictly Blackout dancer 'an amazing role model' By www.bbc.com Published On :: Mon, 11 Nov 2024 16:52:25 GMT Chris McCausland is described as an "amazing role model" for blind people after wowing Strictly judges. Full Article
mode A modern approach to browser support By clagnut.com Published On :: Tue, 04 Jun 2024 09:44:13 PST Just recently, some front-end code Clearleft delivered to a client was making its way through acceptance testing. We were slightly surprised to discover that their standards required our code to be supported by the two latest versions of web browsers. And then we realised we didn’t have a browser support policy of our own – something we set about rectifying. When considering browser versions, we were fairly sure our client didn’t mean, for example, versions 124 and 125 of Chrome (released on 16 April and 14 May 2024 respectively). Instead their support standard would most likely be harking back to the days when Internet Explorer was a thing, and major browsers were updated once a year at best. To put this in context, the final version of Internet Explorer shipped in 2013. It’s at this point we noted that Clearleft didn’t have a written browser support policy to counter or complement that of our clients. We probably did in the dim and distant past, but in recent years we’ve just built accessible, progressively enhanced websites without feeling the need to codify what that means. For the sake of professionalism and good client relationships, we decided to rectify that. But where to start? Using browser versions clearly doesn’t make any sense, so what do we turn to instead? As it turned out, Jeremy had already nailed it in a recent blog post. We wanted a browser support policy that would focus on outcomes for the user. Rather than being fixated on specific browsers, we needed to consider capabilities, using the mindset that sees modern coding use feature detection in preference to browser detection. It turns out there’s an initiative for that. The Baseline initiative is a joint effort by Google, Microsoft, Apple, and Mozilla to categorise browser support for web standards. Baseline provides clear information about which web standards features are ready to use in websites. It designates new features into two categories: Newly available – a feature is supported by the latest versions of all core browsers Widely available – a feature has been supported across browsers for at least 30 months We use the Baseline project to determine which browser features to use in production. If a feature is widely available according to Baseline, we can use it. Quoting directly from our browser support policy: Progressive enhancement If a feature is newly available, we might still use it, but we’ll ask a follow-up question: “Can this feature be used as a progressive enhancement?” In other words, will using this feature harm browsers that don’t support it? If a newly-available feature can be used as a progressive enhancement, we might well use it. If not, we’ll wait until the feature becomes widely available and choose a different method in the meantime. This approach restricts usage of new features to nice-to-have additions rather than mission-critical requirements. But it also means we don’t necessarily have to wait for every browser to support a feature before using it. Access for all Underlying our browser support policy are two foundational principles: Website content and core functionality should be accessible to everyone. It’s okay for websites to look different in different browsers. If content is unreadable in some browsers, that’s a bug that we will fix. If content is displayed slightly differently in some browsers, we consider that to be a facet of the web, not a bug. This means that there will sometimes be subtle visual and functional differences from browser to browser. We deem this acceptable provided that content and core functionality are unaffected. We think this the right approach to browser support, and it’s something we believe the whole industry should follow in principle. To that end we’ve made our browser support policy available under a Creative Commons license, meaning you can use it for your own purposes if you find it helpful. Originally published on the Clearleft blog. Read or add comments Full Article Web standards Browsers Clearleft
mode London Looks Like A Model Train Set From This Bridge Near Victoria Station By londonist.com Published On :: Sun, 10 Nov 2024 10:00:00 +0000 Ever hung out on Ebury Bridge? Full Article London Things To Do Headlines trains Victoria view EBURY BRIDGE
mode Trados Studio 2017 – Auto propagation not working in review mode By blog.cinciala.eu Published On :: Wed, 04 Jan 2017 21:45:04 +0000 Have you ever reviewed a large file in SDL Trados Studio with numerous repetitions and struggled with confirmed segments not being propagated to the rest of the file? Here is what to do. Imagine you have a big file to … Continue reading → Full Article Computer-aided Translation Software-related
mode Color Image Restoration Using Neural Network Model By www.jucs.org Published On :: 2011-04-07T14:38:54+02:00 Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. Here neural network weights are considered as regularization parameter values instead of explicitly specifying them. The weights are modified during the training through the supply of training set data. The desired response of the network is in the form of estimated value of the current pixel. This estimated value is used to modify the network weights such that the restored value produced by the network for a pixel is as close as to this desired response. One of the advantages of the proposed approach is that, once the neural network is trained, images can be restored without having prior information about the model of noise/blurring with which the image is corrupted. Full Article
mode Let Me Tell You a Story - On How to Build Process Models By www.jucs.org Published On :: 2011-07-08T12:30:05+02:00 Process Modeling has been a very active research topic for the last decades. One of its main issues is the externalization of knowledge and its acquisition for further use, as this remains deeply related to the quality of the resulting process models produced by this task. This paper presents a method and a graphical supporting tool for process elicitation and modeling, combining the Group Storytelling technique with the advances of Text Mining and Natural Language Processing. The implemented tool extends its previous versions with several functionalities to facilitate group story telling by the users, as well as to improve the results of the acquired process model from the stories. Full Article
mode Modeling Quality Attributes with Aspect-Oriented Architectural Templates By www.jucs.org Published On :: 2011-05-06T16:03:16+02:00 The quality attributes of a software system are, to a large extent, determined by the decisions taken early in the development process. Best practices in software engineering recommend the identification of important quality attributes during the requirements elicitation process, and the specification of software architectures to satisfy these requirements. Over the years the software engineering community has studied the relationship between quality attributes and the use of particular architectural styles and patterns. In this paper we study the relationship between quality attributes and Aspect-Oriented Software Architectures - which apply the principles of Aspect-Oriented Software Development (AOSD) at the architectural level. AOSD focuses on identifying, modeling and composing crosscutting concerns - i.e. concerns that are tangled and/or scattered with other concerns of the application. In this paper we propose to use AO-ADL, an aspect-oriented architectural description language, to specify quality attributes by means of parameterizable, and thus reusable, architectural patterns. We particularly focus on quality attributes that: (1) have major implications on software functionality, requiring the incorporation of explicit functionality at the architectural level; (2) are complex enough as to be modeled by a set of related concerns and the compositions among them, and (3) crosscut domain specific functionality and are related to more than one component in the architecture. We illustrate our approach for usability, a critical quality attribute that satisfies the previous constraints and that requires special attention at the requirements and the architecture design stages. Full Article
mode Automatically Checking Feature Model Refactorings By www.jucs.org Published On :: 2011-05-06T16:03:26+02:00 A feature model (FM) defines the valid combinations of features, whose combinations correspond to a program in a Software Product Line (SPL). FMs may evolve, for instance, during refactoring activities. Developers may use a catalog of refactorings as support. However, the catalog is incomplete in principle. Additionally, it is non-trivial to propose correct refactorings. To our knowledge, no previous analysis technique for FMs is used for checking properties of general FM refactorings (a transformation that can be applied to a number of FMs) containing a representative number of features. We propose an efficient encoding of FMs in the Alloy formal specification language. Based on this encoding, we show how the Alloy Analyzer tool, which performs analysis on Alloy models, can be used to automatically check whether encoded general and specific FM refactorings are correct. Our approach can analyze general transformations automatically to a significant scale in a few seconds. In order to evaluate the analysis performance of our encoding, we evaluated in automatically generated FMs ranging from 500 to 2,000 features. Furthermore, we analyze the soundness of general transformations. Full Article
mode Context-Aware Composition and Adaptation based on Model Transformation By www.jucs.org Published On :: 2011-05-06T16:03:43+02:00 Using pre-existing software components (COTS) to develop software systems requires the composition and adaptation of the component interfaces to solve mismatch problems. These mismatches may appear at different interoperability levels (signature, behavioural, quality of service and semantic). In this article, we define an approach which supports composition and adaptation of software components based on model transformation by taking into account the four levels. Signature and behavioural levels are addressed by means of transition systems. Context-awareness and semanticbased techniques are used to tackle quality of service and semantic, respectively, but also both consider the signature level. We have implemented and validated our proposal for the design and application of realistic and complex systems. Here, we illustrate the need to support the variability of the adaptation process in a context-aware pervasive system through a real-world case study, where software components are implemented using Windows Workflow Foundation (WF). We apply our model transformation process to extract transition systems (CA-STS specifications) from WF components. These CA-STSs are used to tackle the composition and adaptation. Then, we generate a CASTS adaptor specification, which is transformed into its corresponding WF adaptor component with the purpose of interacting with all the WF components of the system, thereby avoiding mismatch problems. Full Article
mode An Approach for Feature Modeling of Context-Aware Software Product Line By www.jucs.org Published On :: 2011-05-06T16:03:50+02:00 Feature modeling is an approach to represent commonalities and variabilities among products of a product line. Context-aware applications use context information to provide relevant services and information for their users. One of the challenges to build a context-aware product line is to develop mechanisms to incorporate context information and adaptation knowledge in a feature model. This paper presents UbiFEX, an approach to support feature analysis for context-aware software product lines, which incorporates a modeling notation and a mechanism to verify the consistency of product configuration regarding context variations. Moreover, an experimental study was performed as a preliminary evaluation, and a prototype was developed to enable the application of the proposed approach. Full Article
mode Hierarchical Graph-Grammar Model for Secure and Efficient Handwritten Signatures Classification By www.jucs.org Published On :: 2011-07-04T16:04:47+02:00 One important subject associated with personal authentication capabilities is the analysis of handwritten signatures. Among the many known techniques, algorithms based on linguistic formalisms are also possible. However, such techniques require a number of algorithms for intelligent image analysis to be applied, allowing the development of new solutions in the field of personal authentication and building modern security systems based on the advanced recognition of such patterns. The article presents the approach based on the usage of syntactic methods for the static analysis of handwritten signatures. The graph linguistic formalisms applied, such as the IE graph and ETPL(k) grammar, are characterised by considerable descriptive strength and a polynomial membership problem of the syntactic analysis. For the purposes of representing the analysed handwritten signatures, new hierarchical (two-layer) HIE graph structures based on IE graphs have been defined. The two-layer graph description makes it possible to take into consideration both local and global features of the signature. The usage of attributed graphs enables the storage of additional semantic information describing the properties of individual signature strokes. The verification and recognition of a signature consists in analysing the affiliation of its graph description to the language describing the specimen database. Initial assessments display a precision of the method at a average level of under 75%. Full Article
mode A feature-based model selection approach using web traffic for tourism data By www.inderscience.com Published On :: 2024-07-05T23:20:50-05:00 The increased volume of accessible internet data creates an opportunity for researchers and practitioners to improve time series forecasting for many indicators. In our study, we assess the value of web traffic data in forecasting the number of short-term visitors travelling to Australia. We propose a feature-based model selection framework which combines random forest with feature ranking process to select the best performing model using limited and informative number of features extracted from web traffic data. The data was obtained for several tourist attraction and tourism information websites that could be visited by potential tourists to find out more about their destinations. The results of random forest models were evaluated over 3- and 12-month forecasting horizon. Features from web traffic data appears in the final model for short term forecasting. Further, the model with additional data performs better on unseen data post the COVID19 pandemic. Our study shows that web traffic data adds value to tourism forecasting and can assist tourist destination site managers and decision makers in forming timely decisions to prepare for changes in tourism demand. Full Article
mode An architectural view of VANETs cloud: its models, services, applications and challenges By www.inderscience.com Published On :: 2024-07-05T23:20:50-05:00 This research explores vehicular ad hoc networks (VANETs) and their extensive applications, such as enhancing traffic efficiency, infotainment, and passenger safety. Despite significant study, widespread deployment of VANETs has been hindered by security and privacy concerns. Challenges in implementation, including scalability, flexibility, poor connection, and insufficient intelligence, have further complicated VANETs. This study proposes leveraging cloud computing to address these challenges, marking a paradigm shift. Cloud computing, recognised for its cost-efficiency and virtualisation, is integrated with VANETs. The paper details the nomenclature, architecture, models, services, applications, and challenges of VANET-based cloud computing. Three architectures for VANET clouds - vehicular clouds (VCs), vehicles utilising clouds (VuCs), and hybrid vehicular clouds (HVCs) - are discussed in detail. The research provides an overview, delves into related work, and explores VANET cloud computing's architectural frameworks, models, and cloud services. It concludes with insights into future work and a comprehensive conclusion. Full Article
mode Big Brother is Watching But He Doesn’t Understand: Why Forced Filtering Technology on the Internet Isn’t the Solution to the Modern Copyright Dilemma By script-ed.org Published On :: Fri, 17 Aug 2018 13:48:38 +0000 by Mitchell Longan[1] Introduction The European Parliament is currently considering a proposal to address problems of piracy and other forms of copyright infringement associated with the digital world.[2] Article 13 of the proposed Directive on Copyright in the Digital Single Full Article Blog
mode Timed influence: The future of Modern (Family) life and the law By script-ed.org Published On :: Fri, 10 Sep 2021 12:48:20 +0000 By Lucas Miotto Lopes and Jiahong Chen The future of real-time appeal Knowing when to say or do something is often just as important as knowing what to say or do. The right advice at the wrong time is not Full Article Blog
mode E-commerce growth prediction model based on grey Markov chain By www.inderscience.com Published On :: 2024-10-02T23:20:50-05:00 In order to solve the problems of long prediction consumption time and many prediction iterations existing in traditional prediction models, an e-commerce growth prediction model based on grey Markov chain is proposed. The Scrapy crawler framework is used to collect a variety of e-commerce data from e-commerce websites, and the feedforward neural network model is used to clean the collected data. With the cleaned e-commerce data as the input vector and the e-commerce growth prediction results as the output vector, an e-commerce growth prediction model based on the grey Markov chain is built. The prediction model is improved by using the background value optimisation method. After training the model through the improved particle swarm optimisation algorithm, accurate e-commerce growth prediction results are obtained. The experimental results show that the maximum time consumption of e-commerce growth prediction of this model is only 0.032, and the number of iterations is small. Full Article
mode Enabling smart city technologies: impact of smart city-ICTs on e-Govt. services and society welfare using UTAUT model By www.inderscience.com Published On :: 2024-10-07T23:20:50-05:00 Smart cities research is growing all over the world seeking to understand the effect of smart cities from different angles, domains and countries. The aim of this study is to analyse how the smart city ICTs (e.g., big data analytics, AI, IoT, cloud computing, smart grids, wireless communication, intelligent transportation system, smart building, e-governance, smart health, smart education and cyber security) are related to government. services and society welfare from the perspective of China. This research confirmed a positive correlation of smart city ICTs to e-Govt. Services (e-GS). On the other hand, the research showed a positive influence of smart city ICTs on society's welfare. These findings about smart cities and ICTs inform us how the thought paradigm to smart technologies can cause the improvement of e-GS through economic development, job creation and social welfare. The study offers different applications of the theoretical perspectives and the management perspective which are significant to building a society during recent technologised era. Full Article
mode Adaptive terminal sliding mode control of a non-holonomic wheeled mobile robot By www.inderscience.com Published On :: 2024-10-07T23:20:50-05:00 In this paper, a second-order sliding mode adaptive controller with finite time stability is proposed for trajectory tracking of robotic systems. In order to reduce the chattering phenomenon in the response of the variable structure resistant controller, two dependent sliding surfaces are used. In the outer loop, a kinematic controller is used to compensate the geometric uncertainty of the robot, and in the inner loop, the proposed resistive control is used as the main loop. On the other hand, considering the dynamic uncertainty and disturbance of the robot, an adaptive strategy has been used to estimate the uncertainty limit during the control process in order to eliminate the need for basic knowledge to determine the uncertainty limit in the resistant structure. The proposed control method demonstrates significant enhancements in performance, with the linear velocity error improving by approximately 80%, leading to a more accurate and responsive system. Full Article
mode Modern health solution: acceptance and adoption of telemedicine among Indian women By www.inderscience.com Published On :: 2024-09-05T23:20:50-05:00 Access to quality healthcare is a fundamental right but unfortunately, India suffers from gender disparities in healthcare access. Telemedicine has the potential to improve access to healthcare services for women by eliminating traditional barriers. Therefore, our research aims to investigate the factors influencing the adoption of telemedicine among Indian women. This study has collected 442 responses and analysed them through structural equation modelling. The result indicates a strong and positive connection between the willingness to adopt telemedicine services and factors like performance expectancy, perceived benefits, e-health literacy, and perceived reliability. Notably, perceived reliability emerges as the most impactful predictor, closely followed by perceived benefits, while factors like effort expectancy and user resistance show no significant influence. This underscores the pivotal role of reliability and perceived benefits in shaping women's inclination toward adopting telemedicine. The study provides practical insights for telemedicine providers and policymakers to customise strategies and policies for effective promotion. Full Article
mode The role of mediator variable in digital payments: a structural equation model analysis By www.inderscience.com Published On :: 2024-10-01T23:20:50-05:00 The proliferation of technology and communication has resulted in increased digitalisation that includes digital payments. This study is aimed at unravelling the relationship between awareness of individuals about the digital payment system and customer satisfaction with digital payments. Two models were developed in this study. First model considers awareness → usage pattern → customer satisfaction. Second model considers usage pattern → customer satisfaction → perception of digital payments. These two alternative models were tested by collecting data from 507 respondents in southern India was analysed using the structural equation modelling. The results indicate that usage pattern acted as a mediator between awareness and satisfaction, and satisfaction acted as a mediator between usage pattern and consumers' perception of digital payments. The implications for theory and practice are discussed. Full Article
mode Integrating big data collaboration models: advancements in health security and infectious disease early warning systems By www.inderscience.com Published On :: 2024-07-02T23:20:50-05:00 In order to further improve the public health assurance system and the infectious diseases early warning system to give play to their positive roles and enhance their collaborative capacity, this paper, based on the big and thick data analytics technology, designs a 'rolling-type' data synergy model. This model covers districts and counties, municipalities, provinces, and the country. It forms a data blockchain for the public health assurance system and enables high sharing of data from existing system platforms such as the infectious diseases early warning system, the hospital medical record management system, the public health data management system, and the health big and thick data management system. Additionally, it realises prevention, control and early warning by utilising data mining and synergy technologies, and ideally solves problems of traditional public health assurance system platforms such as excessive pressure on the 'central node', poor data tamper-proofing capacity, low transmission efficiency of big and thick data, bad timeliness of emergency response, and so on. The realisation of this technology can greatly improve the application and analytics of big and thick data and further enhance the public health assurance capacity. Full Article
mode Digital transformation in universities: models, frameworks and road map By www.inderscience.com Published On :: 2024-10-29T23:20:50-05:00 Digital Transformation seeks to improve the processes of an organisation by integrating digital technology in all its areas, this is inevitable due to technological evolution that generates new demands, new habits and greater demands on customers and users, therefore Digital Transformation is important. In organisations to maintain competitiveness. In this context, universities are no strangers to this reality, but they find serious problems in their execution, it is not clear how to deal with an implementation of this type. The work seeks to identify tools that can be used in the implementation of Digital Transformation in universities, for this a systematic review of literature is carried out with a method based on three stages, 23 models, 13 frameworks and 8 roadmaps are identified. The elements found are analysed, obtaining eight main components with their relationships and dependencies, which can be used to generate more optimal models for universities. Full Article
mode Loan delinquency analysis using predictive model By www.inderscience.com Published On :: 2024-10-02T23:20:50-05:00 The research uses a machine learning approach to appraising the validity of customer aptness for a loan. Banks and non-banking financial companies (NBFC) face significant non-performing assets (NPAs) threats because of the non-payment of loans. In this study, the data is collected from Kaggle and tested using various machine learning models to determine if the borrower can repay its loan. In addition, we analysed the performance of the models [K-nearest neighbours (K-NN), logistic regression, support vector machines (SVM), decision tree, naive Bayes and neural networks]. The purpose is to support decisions that are based not on subjective aspects but objective data analysis. This work aims to analyse how objective factors influence borrowers to default loans, identify the leading causes contributing to a borrower's default loan. The results show that the decision tree classifier gives the best result, with a recall rate of 0.0885 and a false- negative rate of 5.4%. Full Article
mode The Pentagonal E-Portfolio Model for Selecting, Adopting, Building, and Implementing an E-Portfolio By Published On :: Full Article
mode Survival Mode: The Stresses and Strains of Computing Curricula Review By Published On :: Full Article
mode Advancing Creative Visual Thinking with Constructive Function-based Modelling By Published On :: Full Article
mode Professional Development in Higher Education: A Model for Meaningful Technology Integration By Published On :: 2015-12-04 While many institutions provide centralized technology support for faculty, there is a lack of centralized professional development opportunities that focus on simultaneously developing instructors’ technological, pedagogical, and content knowledge (TPACK) in higher education. Additionally, there are few professional development opportunities for faculty that continue throughout the practice of teaching with technology. We propose a model of continuing professional development that provides instructors with the ability to meaningfully integrate technology into their teaching practices through centralized support for developing TPACK. In doing so, we draw upon several theoretical frameworks and evidence based practices. Full Article
mode Creatıng Infographics Based on the Bridge21 Model for Team-based and Technology-mediated Learning By Published On :: 2019-08-21 Aim/Purpose: The main aim of this study was modeling a collaborative process for knowledge visualization, via the creation of infographics. Background: As an effective method for visualizing complex information, creating infographics requires learners to generate and cultivate a deep knowledge of content and enables them to concisely visualize and share this knowledge. This study investigates creating infographics as a knowledge visualization process for collaborative learning situations by integrating the infographic design model into the team-based and technology-mediated Bridge21 learning model. Methodology: This study was carried out using an educational design perspective by conducting three main cycles comprised of three micro cycles: analysis and exploration; design and construction; evaluation and reflection. The process and the scaffolding were developed and enhanced from cycle to cycle based on both qualitative and quantitative methods by using the infographic design rubric and researcher observations acquired during implementation. Respectively, twenty-three, twenty-four, and twenty-four secondary school students participated in the infographic creation process cycles. Contribution: This research proposes an extensive step-by-step process model for creating infographics as a method of visualization for learning. It is particularly relevant for working with complex information, in that it enables collaborative knowledge construction and sharing of condensed knowledge. Findings: Creating infographics can be an effective method for collaborative learning situations by enabling knowledge construction, visualization and sharing. The Bridge21 activity model constituted the spine of the infographic creation process. The content generation, draft generation, and visual and digital design generation components of the infographic design model matched with the investigate, plan and create phases of the Bridge21 activity model respectively. Improvements on infographic design results from cycle to cycle suggest that the revisions on the process model succeeded in their aims. The rise in each category was found to be significant, but the advance in visual design generation was particularly large. Recommendations for Practitioners: The effectiveness of the creation process and the quality of the results can be boosted by using relevant activities based on learner prior knowledge and skills. While infographic creation can lead to a focus on visual elements, the importance of wording must be emphasized. Being a multidimensional process, groups need guidance to ensure effective collaboration. Recommendation for Researchers: The proposed collaborative infographic creation process could be structured and evaluated for online learning environments, which will improve interaction and achievement by enhancing collaborative knowledge creation. Impact on Society: In order to be knowledge constructors, innovative designers, creative communicators and global collaborators, learners need to be surrounded by adequate learning environments. The infographic creation process offers them a multidimensional learning situation. They must understand the problem, find an effective way to collect information, investigate their data, develop creative and innovative perspectives for visual design and be comfortable for using digital creation tools. Future Research: The infographic creation process could be investigated in terms of required learner prior knowledge and skills, and could be enhanced by developing pre-practices and scaffolding. Full Article
mode A Deep Learning Based Model to Assist Blind People in Their Navigation By Published On :: 2022-08-23 Aim/Purpose: This paper proposes a new approach to developing a deep learning-based prototyping wearable model which can assist blind and visually disabled people to recognize their environments and navigate through them. As a result, visually impaired people will be able to manage day-to-day activities and navigate through the world around them more easily. Background: In recent decades, the development of navigational devices has posed challenges for researchers to design smart guidance systems for visually impaired and blind individuals in navigating through known or unknown environments. Efforts need to be made to analyze the existing research from a historical perspective. Early studies of electronic travel aids should be integrated with the use of assistive technology-based artificial vision models for visually impaired persons. Methodology: This paper is an advancement of our previous research work, where we performed a sensor-based navigation system. In this research, the navigation of the visually disabled person is carried out with a vision-based 3D-designed wearable model and a vision-based smart stick. The wearable model used a neural network-based You Only Look Once (YOLO) algorithm to detect the course of the navigational path which is augmented by a GPS-based smart Stick. Over 100 images of each of the three classes, namely straight path, left path and right path, are being trained using supervised learning. The model accurately predicts a straight path with 79% mean average precision (mAP), the right path with 83% mAP, and the left path with 85% mAP. The average accuracy of the wearable model is 82.33% and that of the smart stick is 96.14% which combined gives an overall accuracy of 89.24%. Contribution: This research contributes to the design of a low-cost navigational standalone system that will be handy to use and help people to navigate safely in real-time scenarios. The challenging self-built dataset of various paths is generated and transfer learning is performed on the YOLO-v5 model after augmentation and manual annotation. To analyze and evaluate the model, various metrics, such as model losses, recall value, precision, and maP, are used. Findings: These were the main findings of the study: • To detect objects, the deep learning model uses a higher version of YOLO, i.e., a YOLOv5 detector, that may help those with visual im-pairments to improve their quality of navigational mobilities in known or unknown environments. • The developed standalone model has an option to be integrated into any other assistive applications like Electronic Travel Aids (ETAs) • It is the single neural network technology that allows the model to achieve high levels of detection accuracy of around 0.823 mAP with a custom dataset as compared to 0.895 with the COCO dataset. Due to its lightning-speed of 45 FPS object detection technology, it has become popular. Recommendations for Practitioners: Practitioners can help the model’s efficiency by increasing the sample size and classes used in training the model. Recommendation for Researchers: To detect objects in an image or live cam, there are various algorithms, e.g., R-CNN, Retina Net, Single Shot Detector (SSD), YOLO. Researchers can choose to use the YOLO version owing to its superior performance. Moreover, one of the YOLO versions, YOLOv5, outperforms its other versions such as YOLOv3 and YOLOv4 in terms of speed and accuracy. Impact on Society: We discuss new low-cost technologies that enable visually impaired people to navigate effectively in indoor environments. Future Research: The future of deep learning could incorporate recurrent neural networks on a larger set of data with special AI-based processors to avoid latency. Full Article
mode Measurement of Doctoral Students’ Intention to Use Online Learning: A SEM Approach Using the TRAM Model By Published On :: 2023-08-22 Aim/Purpose: The study aims to supplement existing knowledge of information systems by presenting empirical data on the factors influencing the intentions of doctoral students to learn through online platforms. Background: E-learning platforms have become popular among students and professionals over the past decade. However, the intentions of the doctoral students are not yet known. They are an important source of knowledge production in academics by way of teaching and research. Methodology: The researchers collected data from universities in the Delhi National Capital Region (NCR) using a survey method from doctoral students using a convenience sampling method. The model studied was the Technology Readiness and Acceptance Model (TRAM), an integration of the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM). Contribution: TRAM provides empirical evidence that it positively predicts behavioral intentions to learn from online platforms. Hence, the study validated the model among doctoral students from the perspective of a developing nation. Findings: The model variables predicted 49% of the variance in doctoral students’ intent. The TRAM model identified motivating constructs such as optimism and innovativeness as influencing TAM predictors. Finally, doctoral students have positive opinions about the usefulness and ease of use of online learning platforms. Recommendations for Practitioners: Academic leaders motivate scholars to use online platforms, and application developers to incorporate features that facilitate ease of use. Recommendation for Researchers: Researchers can explore the applicability of TRAM in other developing countries and examine the role of cultural and social factors in the intent to adopt online learning. Future Research: The influence of demographic variables on intentions can lead to additional insights. Full Article
mode Navigating e-customer relationship management through emerging information and communication technologies: moderation of trust and financial risk By www.inderscience.com Published On :: 2024-11-11T23:20:50-05:00 This study examines the relationships between ICTs (e.g., chatbots, virtual assistants, social media platforms, e-mail marketing, mobile marketing, data analytics, interactive voice response, big data analytics, push notifications, cloud computing, and augmented reality) and e-customer relationship management (e-CRM) from the banking industry of China. Similarly, this study unfolds the moderation interference of trust and risk between the association of ICTs and e-CRM, respectively. The study provided a positive nexus between ICTs and e-CRM. On the other side, a significant moderation of trust, as well as financial risk was observed between the correlation of ICTs and customer relationship management. This study endows with insights into ICTs which are critical for achieving e-CRM by streamlining interactions and enhancing their experience. Similarly, trust and financial risk were observed as potential forces that sway the association between ICTs and e-CRM. Full Article
mode Exploring the impact of monetary policy on sustainable development with mediation of e-banking services and moderation of financial risk awareness By www.inderscience.com Published On :: 2024-11-11T23:20:50-05:00 Monetary policy is essential for sustainable growth where effective monetary policies can improve investment, employment, and consumption by fostering a balanced and resilient economy. However, sustainable development is vital for harmonising economic growth, social equity, and environmental preservation. A number of factors have been discussed in the literature that impact sustainable development. However, this study explicitly tries to investigate the nexus among the monetary policy (MP) toward sustainable development (SD) with the mediation of e-banking services (e-BS) and moderation of financial risk management (FRM) from China drawing on stakeholder theory. It discovered a significant connection between monetary policy and sustainable development along with sub-dimensions of SD. Likewise, this study confirmed a positive mediating influence of e-BS between monetary policy and sustainable development. Finally, the study additionally ensured a positive moderation of financial risk between monetary policy and sustainable development, respectively. These outcomes bestow several interesting insights into monetary policy, e-banking services, financial risk management, and sustainable development. Full Article
mode Unravelling e-governance adoption drivers: insights from the UTAUT 3 model By www.inderscience.com Published On :: 2024-10-10T23:20:50-05:00 The study aims to unveil the various determinants that drive the adoption of e-governance services (EGS). Using the UTAUT 3 model, the research investigated these factors within the Indian context. A purposive sampling technique was utilised to collect the samples from 680 respondents through the online survey method. Furthermore, the study employs structural equation modelling (SEM) to examine the structural relationships between the UTAUT3 model's dimensions in the context of e-governance. Findings revealed that the UTAUT3 model adequately predicts the intention to adopt EGS. The present study addressed a significant gap in the literature on EGS and technology adoption by establishing a relationship between different dimensions of the UTAUT3 model and actual usage of EGS. The findings have implications for practitioners and policymakers as they throw light on the effective implementation of e-governance programs, which are essential for providing the citizens with high-quality services. Full Article
mode Assessing supply chain risk management capabilities and its impact on supply chain performance: moderation of AI-embedded technologies By www.inderscience.com Published On :: 2024-10-10T23:20:50-05:00 This research investigates the correlation between risk management and supply chain performance (SCP) along with moderation of AI-embedded technologies such as big data analytics, Internet of Things (IoT), virtual reality, and blockchain technologies. To calculate the results, this study utilised 644 questionnaires through the structural equation modelling (SEM) method. It is revealed using SmartPls that financial risk management (FRM) is positively linked with SCP. Second, it was observed that AI significantly moderates the connection between FRM and SCP. In addition, the study presents certain insights into supply chain and AI-enabled technologies and how these capabilities can beneficially advance SCP. Besides, certain implications, both managerial and theoretical are described for the supply chain managers along with limitations for future scholars of the world. Full Article