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Keyword: NiONiO Quantum dots Doped Triple Cation Perovskite \(\mathrm{CsMAFAPbI_2Br_2}\) Heterojunction Photodetector with High Responsivity
Optoelectronic devices applications based on Organic–inorganic perovskites are promising and effective low-cost energy materials due to their exceptional physical properties which include high carrier mobility, high optical absorption coefficient, and long carrier diffusion length. In the presented work, a TiO2/NiO+5% Fe quantum dots (QDs)–doped CsMAFAPbI2Br2 perovskite heterojunction broadband photodetector was fabricated on FTO/glass substrate. The…
Read MoreOpinion and Effectiveness of Kahoot! use in Online Distance Learning in Crop Production at Higher Education Level: A Case of Study
Kahoot is one of the most popular learning platforms, with over 2.5 billion players per year worldwide, used mainly for knowledge review through gamification. However, students´ opinion and its effectiveness in online distance learning as well as in another language teaching has been little studied. With these aims, this study was carried out in the…
Read MoreImplementation of Blended Learning Models to Improve Student Learning Outcomes in Junior High School
The purpose of this study is to determine the improvement of the competence of junior high school students through the application of blended learning models. This is a Classroom Action Research comprising of two cycles and two observations of student activities, with the descriptive statistics used for data analysis. From the results of the learning…
Read MoreComparison by Correlation Metric the TOPSIS and ELECTRE II Multi-Criteria Decision Aid Methods: Application to the Environmental Preservation in the European Union Countries
This article is part of the field of Multi-Criteria Decision Aid (MCDA), where several criteria must be considered in decision making. All criteria are generally as varied as possible and express different dimensions, and aspects of the decision problem posed. For more than four decades, several MCDA methods have emerged and have been applied perfectly…
Read MoreText Line Segmentation on Myanmar Handwritten Document using Average Linkage Clustering Algorithm
Text line segmentation from document images is a significant challenge in the field of document image analysis. It involves extracting individual text lines from Myanmar handwritten document images to enable text recognition. This task becomes particularly challenging in Myanmar handwritten documents, especially those with irregular or cursive writing styles, due to variations in line spacing,…
Read MoreAdvanced Fall Analysis for Elderly Monitoring Using Feature Fusion and CNN-LSTM: A Multi-Camera Approach
As society ages, the imbalance between family caregivers and elderly individuals increases, leading to inadequate support for seniors in many regions. This situation has ignited interest in automatic health monitoring systems, particularly in fall detection, due to the significant health risks that falls pose to older adults. This research presents a vision-based fall detection system…
Read MoreTracing the Evolution of Machine Translation: A Journey through the Myanmar (Burmese)-Wa (sub-group of the Austro-Asiatic language) Corpus
Machine Translation (MT) has come a long way toward reducing linguistic gaps. However, its progress in efficiently handling low-resource languages—such as the Wa language in the Myanmar-Wa corpus—has not received enough attention. This study begins with a thorough investigation of the historical development of MT systems, painstakingly following their development against the complex background of…
Read MoreSocial Media Text Summarization: A Survey Towards a Transformer-based System Design
Daily life is characterized by a great explosion of abundance of information available on the internet and social media. Smart technology has radically changed our lives, giving a leading role to social media for communication, advertising, information and exchange of opinions. Managing this huge amount of data by humans is an almost impossible task. Adequacy…
Read MoreModeling Control Agents in Social Media Networks Using Reinforcement Learning
Designing efficient control strategies for opinion dynamics is a challenging task. Understanding how individuals change their opinions in social networks is essential to countering malicious actors and fake news and mitigating their effect on the network. In many applications such as marketing design, product launches, etc., corporations often post curated news or feeds on social…
Read MoreA Self-Adaptive Routing Algorithm for Real-Time Video Transmission in VANETs
Given the strict Quality of Experience (QoE) and Quality of Service (QoS) criteria for video transmission, such as delivery ratio, transmission delay, and mean opinion Score (MOS), video streaming is one of the hardest challenges in Vehicular Ad-Hoc Networks (VANETs). Additionally, VANET attributes, including environmental impediments, fluctuating vehicle density, and highly dynamic topology, have an…
Read MoreDeep Learning Affective Computing to Elicit Sentiment Towards Information Security Policies
Information security behaviour is an integral part of modern business and has become a central theme in many research studies. One of the essential tools available that can be used to influence information security behaviour is information security policies (ISPs). These types of policies, which is mandatory in most organisations, are formalised rules and regulations…
Read MoreTraditional and Deep Learning Approaches for Sentiment Analysis: A Survey
Presently, individuals generate tremendous volumes of information on the internet. As a result, sentiment analysis is a critical tool for automating a deep understanding of user-generated information. Of late, deep learning algorithms have shown endless promises for a variety of sentiment analysis. The purpose of sentiment analysis is to categorize different descriptions as good, bad,…
Read MoreThe Gamification Design for Affordances Pedagogy
This study aims to design a gamification affordances pedagogy. Affordances are the ways in which we perceive environments to support the needs of learners in the educational system. The main questions are how gamification elements can influence student engagement to improve their affordances. Affordance behavior is a human behavior that refers to a mindset; an…
Read MoreRecognition of Emotion from Emoticon with Text in Microblog Using LSTM
With the advent of internet technology and social media, patterns of social communication in daily lives have changed whereby people use different social networking platforms. Microblog is a new platform for sharing opinions by means of emblematic expressions, which has become a resource for research on emotion analysis. Recognition of emotion from microblogs (REM) is…
Read MoreA Framework for the Alignment of ICT with Green IT
The Public Administration is forced to transform itself by taking advantage of the contribution of ICT to in the process of reducing bureaucracy and increase transparency, promoting the dematerialization of processes, increasing the quality of online services, allowing greater ubiquity of access, reducing response times, in the search for improvement of the quality of life…
Read MoreSEA WAF: The Prevention of SQL Injection Attacks on Web Applications
The security of website application has become important in the last decades. According to the Open Web Application Security Project (OWASP), the SQL Injection is classified as one of the major vulnerabilities found in web application security. This research is focused on improving website security in dealing with SQL Injection attacks by stopping, monitoring, and…
Read MoreIron-doped Nickel Oxide Nanoparticles Synthesis and Analyzing Different Properties
This is a report describing the impact of calcination on the morphological and optical properties of nanoparticles Iron doped-nickel oxide. By synthetic precipitation, the technique makes use of it. Three samples have been calcined in different temperatures and were characterized by X-ray diffraction (XRD), Fourier transforms infrared spectroscopy (FTIR), UV spectroscopy, and scanning electron microscopy…
Read MoreExposure to Optical Radiation and Electromagnetic Fields at the Workplace: Criteria for Occupational Health Surveillance According to Current European Legislation
A very large number of workers is occupationally exposed to Optical Radiation (OR) worldwide, while indeed nowadays an exposure to Electromagnetic fields (EMF) can occur in almost all workplaces. OR origin can be natural, including the most relevant source, i.e. the sun, or artificial, that can be further classified in incoherent and coherent, i.e. the…
Read MoreText Mining Techniques for Sentiment Analysis of Arabic Dialects: Literature Review
Social media attracts a lot of users around the world. Many reasons drive people to use social media sites such as expressing opinions and ideas, displaying their diaries and sharing them with others, social communication with family and friends and building new social relationships, learning and sharing knowledge. Written text is one of the most…
Read MorePrototype of an Augmented Reality Application for Cognitive Improvement in Children with Autism Using the DesingScrum Methodology
In this COVID-19 pandemic, it has been registered that children with autism are not learning properly with this virtual modality in Peruvian education. The main objective of this research work is to design a mobile application with augmented reality so that autistic children can improve their cognitive development in their virtual and face-to-face classes, the…
Read MoreAnalysis and Evaluation of Competitiveness in Medical Tourism Industry in Taiwan
Tourism is relatively high profit, low-cost and high work opportunity industry. Medical tourism is special kind of business type in tourism industry. The characteristic of medical tourism is high threshold and high profit for hospital and government. But, fewer literatures research about competitiveness of medical tourism industry until now. Especially, medical tourism industry faces big…
Read MoreSentiment Analysis in English Texts
The growing popularity of social media sites has generated a massive amount of data that attracted researchers, decision-makers, and companies to investigate people’s opinions and thoughts in various fields. Sentiment analysis is considered an emerging topic recently. Decision-makers, companies, and service providers as well-considered sentiment analysis as a valuable tool for improvement. This research paper…
Read MoreFeatures Preference using Conjoint Analysis Method for E-marketplace Social Care System
With the features of the application system make it easier for users to transact, make the user feel comfortable in using the application system. The problem is that the intensity of application usage decreases judging by the application rating given by the user each time they perform a transaction, this is because the company initially…
Read MoreComparison of Gaze Points Among Viewing Conditions (Resolution, Display Size, Viewer Position) During Video Viewing
Ultra-high resolution broadcasting such as 4K and 8K are becoming more popular for at-home use. The position of the viewer’s mean gaze point when they are looking at a larger display depends on the video clip, viewing position, and viewing distance. The International Telecommunication Union provided the document BT-2022; as the standard viewing conditions for…
Read MoreInferring Topics within Social Networking Big Data, Towards an Alternative for Socio-Political Measurement
This research sought to measure some socio-political indicators using millions of opinionated messages from social network sourced big data. Thus, and using an enhanced mixed method for sentiment analysis and a fusion model algorithm to infer topics from short text, this study attempted to demonstrate the value of computational approaches in measuring some phenomena in…
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