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  • Open Access

    ARTICLE

    Could Military Commanders’ Good Leadership Influence Subordinates’ Smartphone Overdependence? A Serial Mediation Analysis

    Seungju Hyun1, Xyle Ku1,2, Sungrok Kang1, Yoonyoung Choi1, Jaewon Ko1, Hyunyup Lee1,*

    International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1187-1195, 2023, DOI:10.32604/ijmhp.2023.030745

    Abstract Owing to the ubiquitous use of smartphones by soldiers, military researchers have an increasing interest in potentially problematic side effects such as smartphone overdependence. This raises a question regarding the psychological mechanisms underlying the potentially self-damaging use of smartphones. Here, we address this question by analyzing how heterogeneity in commander’s good leadership explains subordinate soldiers’ differences in self-control and smartphone use. Specifically, we found that subordinate soldiers who thought their commander's leadership was good were self-regulated, less dependent on smartphones, less stressed, and finally had good mental health. This result indicates that commander’s good leadership can be used to estimate… More >

  • Open Access

    ARTICLE

    CD-FL: Cataract Images Based Disease Detection Using Federated Learning

    Arfat Ahmad Khan1, Shtwai Alsubai2, Chitapong Wechtaisong3,*, Ahmad Almadhor4, Natalia Kryvinska5,*, Abdullah Al Hejaili6, Uzma Ghulam Mohammad7

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1733-1750, 2023, DOI:10.32604/csse.2023.039296

    Abstract A cataract is one of the most significant eye problems worldwide that does not immediately impair vision and progressively worsens over time. Automatic cataract prediction based on various imaging technologies has been addressed recently, such as smartphone apps used for remote health monitoring and eye treatment. In recent years, advances in diagnosis, prediction, and clinical decision support using Artificial Intelligence (AI) in medicine and ophthalmology have been exponential. Due to privacy concerns, a lack of data makes applying artificial intelligence models in the medical field challenging. To address this issue, a federated learning framework named CD-FL based on a VGG16… More >

  • Open Access

    REVIEW

    REVIEW OF VARIOUS THIN HEAT SPREADER VAPOR CHAMBER DESIGNS, PERFORMANCE, LIFETIME RELIABILITY AND APPLICATION

    Masataka Mochizukia,*,†, Thang Nguyenb

    Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.12

    Abstract The cooling device for computers and electronics is getting smaller and thinner year after year, especially for the mobile handheld device such as smartphone which is the most popular gadget and widely use nowadays. It seems that in the current trend every 6-12 months a new model of smartphone is introduced and it was packed with faster processing processor, memories, and graphics, higher density battery, higher resolution for camera and video and so on. The drawback is the device getting hotter due to the increase of heat dissipation caused by faster computing. The traditional method of cooling by purely metal… More >

  • Open Access

    ARTICLE

    Grey Wolf-Based Method for an Implicit Authentication of Smartphone Users

    Abdulwahab Ali Almazroi, Mohamed Meselhy Eltoukhy*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3729-3741, 2023, DOI:10.32604/cmc.2023.036020

    Abstract Smartphones have now become an integral part of our everyday lives. User authentication on smartphones is often accomplished by mechanisms (like face unlock, pattern, or pin password) that authenticate the user’s identity. These technologies are simple, inexpensive, and fast for repeated logins. However, these technologies are still subject to assaults like smudge assaults and shoulder surfing. Users’ touch behavior while using their cell phones might be used to authenticate them, which would solve the problem. The performance of the authentication process may be influenced by the attributes chosen (from these behaviors). The purpose of this study is to present an… More >

  • Open Access

    ARTICLE

    Human Personality Assessment Based on Gait Pattern Recognition Using Smartphone Sensors

    Kainat Ibrar1, Abdul Muiz Fayyaz1, Muhammad Attique Khan2, Majed Alhaisoni3, Usman Tariq4, Seob Jeon5, Yunyoung Nam6,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2351-2368, 2023, DOI:10.32604/csse.2023.036185

    Abstract Human personality assessment using gait pattern recognition is one of the most recent and exciting research domains. Gait is a person’s identity that can reflect reliable information about his mood, emotions, and substantial personality traits under scrutiny. This research focuses on recognizing key personality traits, including neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness, in line with the big-five model of personality. We inferred personality traits based on the gait pattern recognition of individuals utilizing built-in smartphone sensors. For experimentation, we collected a novel dataset of 22 participants using an android application and further segmented it into six data chunks… More >

  • Open Access

    ARTICLE

    Prevalence and Factors Associated with Smartphone Addiction among Adolescents–A Nationwide Study in Malaysia

    Kai Wei Lee1, Siew Mooi Ching2,*, Norsiah Ali3, Chor Yau Ooi4, Shahnul Kamal Hj Sidek5, Azlin Amat6, Yusnita Yatim7, Zaiton Yahaya8, Nabihah Shamsuddin9, Idora Ibrahim10, Fauzia Abdul Majid11, Fazlin Suhana Othman12, Nik Suhaila Zakaria13, Artini Abidin14, Nor Hazlin Talib15, Dhashani Sivaratnam16

    International Journal of Mental Health Promotion, Vol.25, No.2, pp. 237-247, 2023, DOI:10.32604/ijmhp.2023.013407

    Abstract Smartphone ownership among adolescents is getting common in this decade especially in Malaysia; Adolescent are strongly devoted to their smartphone and this may lead to smartphone addiction. Studies have reported that smartphone addiction has become an emerging social and health problem especially among the youth in many countries however there is lack of study among adolescents in Malaysia. This study aimed to examine the prevalence and factors associated with smartphone addiction among adolescents in Malaysia. This was a cross-sectional study involving adolescents from 15 primary care clinics throughout the country. Respondents were assessed on their smartphone activities using the Malaysian… More >

  • Open Access

    ARTICLE

    Spatio Temporal Tourism Tracking System Based on Adaptive Convolutional Neural Network

    L. Maria Michael Visuwasam1,*, D. Paul Raj2

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2435-2446, 2023, DOI:10.32604/csse.2023.024742

    Abstract Technological developments create a lot of impacts in the tourism industry. Emerging big data technologies and programs generate opportunities to enhance the strategy and results for transport security. However, there is a difference between technological advances and their integration into the methods of tourism study. The rising popularity of Freycinet National Park led to a master plan that would not address cultural and environmental issues. This study addresses the gap by using a synthesized application (app) for demographic surveys and Global Navigation Satellite System (GNSS) technology to implement research processes. This article focuses on managing visitors within the famous Freycinet… More >

  • Open Access

    ARTICLE

    Eighteen-Element Antenna for Metal-Rimmed Smartphone Sub-6 GHz LTE42 Band Applications

    Saqer S. Alja’Afreh1,*, Mallak H. Alshamaileh1, Eqab Almajali2, Jawad Yousaf3, Amir Altaf4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3181-3198, 2022, DOI:10.32604/cmc.2022.029863

    Abstract Due to the limited space and large mutual coupling levels, the design of sub-6 GHz massive Multi-Input Multi-Output (m-MIMO) smartphone antenna system attracts antennas’ designers and engineers worldwide. Therefore, this paper presents 18-element m-MIMO antenna system that covers the long-term evolution 42 (LTE42) frequency band (3.4–3.6 GHz) for the fifth generation (5G) applications in metallic frame smartphones. The proposed array system is etched on the long sides of a metal rim of the mobile chassis symmetrically, which is electrically connected to the system ground plane with zero ground clearance. A low-profile frame of height 7 mm (λ/12.3) is symmetrically placed… More >

  • Open Access

    ARTICLE

    Haemoglobin Measurement from Eye Anterior Ciliary Arteries through Borescope Camera

    Mohamed Abbas Ahamed Farook1,*, S. Rukmanidevi2, N. R. Shanker3

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1763-1774, 2023, DOI:10.32604/csse.2023.026260

    Abstract Nowadays, smartphones are used as self-health monitoring devices for humans. Self-health monitoring devices help clinicians with big data for accurate diagnosis and guidance for treatment through repetitive measurement. Repetitive measurement of haemoglobin requires for pregnant women, pediatric, pulmonary hypertension and obstetric patients. Noninvasive haemoglobin measurement through conjunctiva leads to inaccurate measurement. The inaccuracy is due to a decrease in the density of goblet cells and acinar units in Meibomian glands in the human eye as age increases. Furthermore, conjunctivitis is a disease in the eye due to inflammation or infection at the conjunctiva. Conjunctivitis is in the form of lines… More >

  • Open Access

    ARTICLE

    Optimal Unification of Static and Dynamic Features for Smartphone Security Analysis

    Sumit Kumar1,*, S. Indu2, Gurjit Singh Walia1

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1035-1051, 2023, DOI:10.32604/iasc.2023.024469

    Abstract Android Smartphones are proliferating extensively in the digital world due to their widespread applications in a myriad of fields. The increased popularity of the android platform entices malware developers to design malicious apps to achieve their malevolent intents. Also, static analysis approaches fail to detect run-time behaviors of malicious apps. To address these issues, an optimal unification of static and dynamic features for smartphone security analysis is proposed. The proposed solution exploits both static and dynamic features for generating a highly distinct unified feature vector using graph based cross-diffusion strategy. Further, a unified feature is subjected to the fuzzy-based classification… More >

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