Computer vision syndrome among Al-Rayan Medical Colleges students, Madinah, Saudi Arabia

Background: Digital devices now become a part of university student’s life, and with prolonged use, they may experience some ocular problems like dryness, headache, eye strain, and pain. These symptoms and others constitute computer vision syndrome (CVS). Our study aimed to assess CVS among Al-Rayan medical college students and to evaluate students’ behaviors related to preventing CVS. Methods: A cross-sectional, questionnaire-based study was performed among the students of Alrayan Medical College from the period from November to December 2022, with a sample size of 270 cases. Data were collected using (CVS-Q) questionnaire. Results: Near half of the participants (53.7%) were suffering from CVS. The most reported symptoms included headache (43.3%), tearing (42.9%), burning (39.3%), and blurred vision (35.1%). The most significant measures applied to minimize the impact of electronic devices were putting the digital device at enough distance (p value=0.001) and adjusting the screen brightness of the digital device (p value=0.004). Conclusions: This study disclosed that CVS is a common problem among medical students. The manifestation of CVS was affected by the frequency and duration of electronic device use

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring

With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, especially Wi-Fi hotspot, pose serious privacy concerns and cybersecurity threats. Eavesdroppers can easily access confidential multimedia information and the privacy of individuals can be compromised. As a solution, novel encryption techniques for the multimedia data concealing have been proposed by the cryptographers. Due to the bandwidth limitations and computational complexity, traditional encryption methods are not applicable to multimedia data. In traditional encryption methods such as Advanced Encryption Standard (AES) and Data Encryption Standard (DES), once multimedia data are compressed during encryption, correct decryption is a challenging task. In order to utilize the available bandwidth in an efficient way, a novel secure video occupancy monitoring method in conjunction with encryption-compression has been developed and reported in this paper. The interesting properties of Chebyshev map, intertwining map, logistic map, and orthogonal matrix are exploited during block permutation, substitution, and diffusion processes, respectively. Real-time simulation and performance results of the proposed system show that the proposed scheme is highly sensitive to the initial seed parameters. In comparison to other traditional schemes, the proposed encryption system is secure, efficient, and robust for data encryption. Security parameters such as correlation coefficient, entropy, contrast, energy, and higher key space prove the robustness and efficiency of the proposed solution