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    2178 research outputs found

    Digital Notice Board using Bluetooth and Arduino

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    In this project, Bluetooth and Arduino microcontrollers are used to build and operate a wireless noticeboard system. To disseminate real-time information across many contexts, a cutting-edge, interactive platform is now being developed. On conventional noticeboards, there are just physical notes and human modifications, both of which can be tedious and time-consuming. This solution makes use of Bluetooth connectivity and the adaptability of Arduino to let users send messages wirelessly from their cell phones or laptops. The Bluetooth-enabled devices used in the wireless noticeboard system allow users to enter messages. An Arduino microcontroller with a Bluetooth module collects the messages, processes them, and displays the results on a display device. Users can rapidly post messages to the noticeboard from their mobile devices using Bluetooth technology without having to engage with it physically. The system's core processing unit, the Arduino microcontroller, which also activates the display unit, receives and processes incoming messages before displaying them

    Augmented Reality Application for Optical Character Recognition

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    Augmented Reality (AR) technology has become popular for improving user experiences by superimposing virtual features on the real world. OCR is another recent method for extracting text from photos or real-world items. AR and OCR are combined in a new software that provides an immersive and engaging experience. The proposed AR-based OCR system uses Firebase as a backend. Users can point their smartphones at papers, signs, or other textual material to use AR, which will automatically recognizeand extract the content. This extracted content can be translated, converted to text-to-speech, or shared on social media. Storage and management of recognizedtext data is reliable and scalable with the Firebase database connector. The Firebase Realtime Database can immediately sync extracted text across several devices for user collaboration and sharing. Firebase Authentication can authenticate and authorizeusers for safe OCR access. The programuses image processing for text extraction, OCR models for accurate recognition, and AR frameworks like ARCore (Android) and ARKit (iOS). The application will be linked to the Firebase backend using SDKs and APIs for real-time data synchronizationand safe data storage. The AR-based OCR application has great promise in education, logistics, retail, and other industries. It can extract text from physical documents, increase accessibility for visually challenged people, and translate foreign languagetext in real time. Firebase's backend database solution meets the application's needs for scalability, dependability, and data security

    An Approach to Secure Data Sharing in the Internet of Things Using Blockchain- Based Proxy Re-Encryption

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    The prevalence of data sharing has increased with the rise in popularity of cloud computing and the Internet of Things (IoT). However, ensuring data security is difficult because of the possible negative consequences of illegal data usage. This study presents a method for ensuring the secure transmission of data in cloud environments: proxy re-encryption. The identity-based encryption method enables data owners to transfer encrypted data to the cloud. Subsequently, a proxy re-encryption framework enables authorized individuals to access the data. To surpass the limitations of IoT device resources, we utilize an edge device as a proxy server to transfer computationally intensive tasks to a separate device. By utilizing the advantages of information-centric networking, we can optimize network capacity and enhance service quality by efficiently distributing cached content across the proxy. This method decreases bottlenecks in centralized systems while providing precise control over data access. The proposed work demonstrates the effectiveness of the strategy in ensuring data security, confidentiality, and integrity through thorough security research and plan review

    The Role of Engineers in Advancing Sustainable Development Goal 9 in Underdeveloped Communities through Leveraging Fourth Industrial Revolution Technologies

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    In underdeveloped communities, achieving Sustainable Development Goal 9 (SDG9) poses significant challenges. Underdeveloped communities lack essential services such as water purification, electricity, sanitation, health facilities and many more. Inclusivity in development stands out as one of the key drivers of SDG9. It is then quite unfortunate that underdeveloped communities have been excluded in almost all aspects of development and advancement. However gloomy the situation might look, most of the challenges faced by underdeveloped communities can be overcome if engineers are to leverage Fourth Industrial Revolution (4IR) technologies in coming up with innovative solutions for sustainable development. In 4IR technologies lie a lot of opportunities to change lives in underdeveloped communities thereby contributing significantly to the attainment of SDG9 by the year 2030. The integration of 4IR technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Renewable Energy solutions offer engineers the tools to address complex challenges and create more efficient, inclusive, and sustainable infrastructure systems. This paper explored academic literature, policy documents, and reports from reputable sources such as the United Nations (UN), and relevant engineering journal articles. Findings underscore the pivotal role that engineers should play in leveraging 4IR technologies in order to advance SDG9 through the upliftment of underdeveloped communities. A case in point where engineers have leveraged 4IR technologies in order to improve the livelihoods of the backward communities is the use of mobile money platforms in place of brick and mortar banks. Examples are, Ecocash in Zimbabwe, and Mpesa in Kenya Africa. These platforms have enabled people in underdeveloped communities to access banking facilities through their mobile phones. These banking platforms do not rely on brick and mortar facilities. They are solely based on 4IR technologies

    Analyzing the Need for a Library Application at Madrasah Ibtidaiyah (MI) Azharyah Palembang with Recommendations

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    This study aims to analyze the need for library applications and come out with solutions on the design for developing a library application at Madrasah Ibtidaiyah (MI) Azharyah Palembang. The need should cater to enhancing efficiency in library management and facilitating access to learning resources for both students and teaching staff. The application development process involves user needs analysis, system design, software implementation, and testing in a real-world environment. The research method employed in this study is The Analysis, Research, and Development (ARD) with an Agile approach, allowing flexibility in adapting application features according to user requirements. The research findings indicate that the developed library application accelerates administrative processes, such as recording book loans and returns, and includes a search feature that simplifies user access to the book collection. Application testing revealed a high level of user satisfaction, although some feedback was provided for improvements in features and the user interface. Therefore, this application is expected to be an effective solution in achieving more modern and efficient library management at MI Azharyah Palembang

    Stress Net: Multimodal Stress Detection using ECG and EEG Signals

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    This research work introduces Integrity of Time Domain Features & Machine Learning for Stress Classification using ECG & EEG Signals. Stress is a prevalent mental health issue in our daily lives, affecting many individuals. The impact of stress can lead to various problems, including heart attacks and depression. This research work aims to identify anxiety through a physical examination using both EEG and ECG signals. By analyzing and monitoring these signals, we can improve stress detection exactness, ultimately identifying and addressing mental health problems. This research work is used to prevent early detection of diseases such as depression and suicidal attempts. This task can benefit society as a whole. Moreover, using ECG signals to assess cardiovascular and related risk factors in the early stages has been explored through machine learning techniques

    China's Carbon Trading Market Globalization Strategy: A Conceptual Review

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    China has once participated in the international carbon market through the Clean Development Mechanism (CDM) faced problems such as falling certified emission reductions (CER) prices and carbon sink fraud, which led to the decline of China's carbon trading market. However, with China's announcement of the goal of peaking carbon emissions before 2030 and achieving carbon neutrality before 2060, China's carbon market has regained vitality and launched China Certified Emission Reductions (CCER) as the main trading product. The study discusses the opportunities and challenges of China in the globalization of the carbon trading market, including key obstacles such as differences in rules and inconsistent carbon absorption measurement methods. At the same time, the paper proposes strategies such as connecting China's carbon trading market with the global market through the Hong Kong platform, strengthening international cooperation, optimizing market mechanisms, and improving technological innovation capabilities to promote the deep integration and coordinated development of China's carbon trading market with the international market. It emphasizes China's position and role in the global carbon trading system in the future, as well as its positive role in promoting global low-carbon transformation and international exchanges and cooperation

    The ESG Shift: Role of ESG in Modern Business Strategies

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    This paper undertakes the arduous task of examining the accuracy and relevance of a statement lacking clear benchmarks. The assertion posits that Environmental, Social and Governance (ESG) indices is indispensable not just for assessing a company’s sustainability efforts, but also enhancing its competitive edge. Through analysis of existing literature, frameworks, and empirical evidence, this article elucidates the nuances inherent in the link between ESG indices, sustainable practices, and strategic competitiveness within the modern business landscape. To accomplish this, the paper adopts a structured approach, dissecting the statement into its constituent components to discern the key points concerning ESG. It intends to challenge the notion of ESG as an indispensable tool in measuring sustainability, while also evaluating relevant initiatives and potential impacts. Furthermore, the article explores the extent to which indices truly function as significant tools, addressing societal and environmental issues while offering pathways for corporate success beyond conventional business performance metrics. This paper will further deconstruct the statement above with the analysis of existing literature and frameworks that are evident that ESG has reached its peak and will continue towards a downward slope of decline in measuring a corporates responsibility towards society

    Efficient Parking: A Smart System for Optimized Urban Mobility Using IoT

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    Internet of Things (IoT)-powered smart parking transforms urban transportation by combining cutting-edge technology to improve parking management. This system uses a network of Internet of Things (IoT) sensors that are mounted in parking spots to track availability in real-time. A centralized server receives the data gathered from these sensors, processes it, and updates the parking status instantly. The software has functions like digital payments, recommendation engines tailored to the user's tastes, and navigation to the closest spot. This minimizes emissions and traffic congestion, in addition to cutting down on the amount of time spent looking for parking. Furthermore, smart parking systems can maximize the use of available parking spaces and offer insightful data analytics to help city planners enhance urban infrastructure. All things considered, IoT-enabled smart parking systems are a big step in the direction of building smarter, more sustainable cities

    The Effectiveness of Social Media Influencers and Its Impact Digital Marketing Towards the Buying Behaviors among Generation Z in Malaysia

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    The increasing number of active social media users has given rise to a new form of digital marketing and claims refer to heightened effects with the presence of social media influencers. This strategy leverages individuals with established online identities and reputations to promote products or brands through posts, photos, and videos, shaping consumer perceptions and behaviors. Recognizing its potential, many companies and brands have adopted this approach, particularly when targeting Generation Z. This study aims to determine the effectiveness of social media influencers and their impact on the buying behaviors of Generation Z in Malaysia. Data was collected through an online survey distributed via Google Forms, yielding 120 valid responses, which were analyzed using SPSS software. The findings indicate significant relationships between the variables examined, with all hypotheses supported, revealing that social media influencers positively and effectively impact the purchasing decisions of Generation Z. Furthermore, this research underscores the importance of collaboration between businesses, influencers, and digital platforms to foster sustainable partnerships in digital marketing, aligning with Sustainable Development Goal 17 (SDG 17). By promoting ethical and mutually beneficial partnerships, this study advocates for a more inclusive and sustainable approach to leveraging social media influencers in digital marketing strategies

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