This paper presents a blind dual watermarking mechanism for digital color images in which invisible robust watermarks are embedded copyright protection and fragile image authentication. For the purpose of protection, first watermark is using discrete wavelet transform YCbCr space, it can be extracted blindly without access to host image. However, based on an improved least significant bits' replacement approach RGB components The authenticity integrity suspicious verified original watermark....

Although the blockchain technology was first introduced through Bitcoin, extending its usage to non-financial applications, such as managing electronic medical records, is an attractive mission for recent research balance needs increasing data privacy and regular interaction among patients health providers. Various systems that adopts in records have been proposed. However, there a need more work better characterize, understand evaluate employment of healthcare industry. In this paper,...

Abstract This study used aptitude treatment interaction design to examine how feedback formats (specific vs. holistic) and executive thinking styles (high low) affect web‐based peer assessment. An Internet‐based (anonymous) peer‐assessment system was developed by 58 computer science students who submitted assignments for review. The results indicated that while with high significantly improved over two rounds of assessment, low did not improve through the cycles. In addition, contributed...

This study describes an effective web-based learning strategy, peer review, used by 143 computer science undergraduate students in operating systems class at a Taiwanese university. Peer based on social constructivism, can be easily implemented via the authors' well-developed review (WPR) system. Through authors hope to form authentic environment similar academic society which researcher submits paper journal and receives reviews from members before publication. Students using this strategy...

Lung sounds remain vital in clinical diagnosis as they reveal associations with pulmonary pathologies. With COVID-19 spreading across the world, it has become more pressing for medical professionals to better leverage artificial intelligence faster and accurate lung auscultation. This research aims propose a feature engineering process that extracts dedicated features depthwise separable convolution neural network (DS-CNN) classify accurately efficiently. We extracted total of three shrunk...

Abstract The growing number of online open-access journals promotes academic exchanges, but the prevalence predatory is undermining scholarly reporting process. Data collection, feature extraction, and model prediction are common steps in tools designed to distinguish between legitimate publisher websites. authors include them their proposed journal checking (AJPC) system based on machine learning methods. AJPC data collection process extracts 833 blacklists 1213 whitelists information from...

Eye movement can be regarded as a pivotal real-time input medium for human-computer communication, which is especially important people with physical disability. In order to improve the reliability, mobility, and usability of eye tracking technique in user-computer dialogue, novel control system integrating both mouse keyboard functions proposed this paper. The focuses on providing simple convenient interactive mode by only using user’s eye. usage flow designed perfectly follow human natural...

In this study, we propose using a thermal imaging camera (TIC) with deep learning model as an intelligent human detection approach during emergency evacuations in low-visibility smoky fire scenarios. We use low-wavelength infrared (LWIR) images taken by TIC qualified the National Fire Protection Association (NFPA) 1801 standards input to YOLOv4 for real-time object detection. The trained single Nvidia GeForce 2070 can achieve >95% precision location of people scenario 30.1 frames per second...

Although blockchain technology was first introduced through Bitcoin, extending its usage to non-financial applications, such as managing academic records, is a new mission for recent research balance the needs increasing data privacy and regular interaction among students universities. In this paper, design blockchain-based system, namely UniChain, Electronic Academic Records (EARs) proposed. UniChain designed improve current management systems it provides interoperable, secure, effective...

The transformative wave of generative AI is reshaping the creative thinking processes learners, posing a significant challenge to education and industry in cultivating technological literacy creativity. This study delves into exploration how learners can effectively tackle new challenges by deconstructing fragments from macro perspective generating innovative methods or concepts. In Scratch visual programming environment, self-regulated learning mode observed entire functioning projects,...

Developing AI algorithms for the game of Go has long been a challenging task. While tools such as AlphaGo have revolutionized gameplay, their focus on maximizing win rates often leads to moves that are incomprehensible human players, limiting utility training aids. This work introduces novel approach bridge this gap by leveraging Vision Transformer (ViT) develop an model achieves professional-level play while mimicking decision-making. Using dataset from KGS server, our ViT-based 51.49%...

The sharing of DNA sequence data is essential for advancing medical technology and fostering innovation in healthcare. However, sequences encode sensitive information, such as gender, physical attributes, genetic predispositions, necessitating stringent privacy safeguards. Existing data-sharing frameworks often fail to adequately address these concerns. To overcome challenges, this study proposes a blockchain-based, privacy-preserving ecosystem sharing. system employs decentralized...

Multi-Object Multi-Camera Tracking (MOMCT) is essential for real-world applications but remains challenging in low-FPS environments where motion-based tracking ineffective. This study proposes a novel vehicle approach that integrates YOLOv9 object detection, SwinReID feature extraction, and KNN-based matching algorithm to enhance across multiple cameras. Our research leverages the AICUP 2024 Spring Competition dataset, which includes surveillance footage from Chiayi City, along with ImageNet...