Displaying publications 1 - 20 of 37 in total

  1. Afifi F, Anuar NB, Shamshirband S, Choo KK
    PLoS ONE, 2016;11(9):e0162627.
    PMID: 27611312 DOI: 10.1371/journal.pone.0162627
    To deal with the large number of malicious mobile applications (e.g. mobile malware), a number of malware detection systems have been proposed in the literature. In this paper, we propose a hybrid method to find the optimum parameters that can be used to facilitate mobile malware identification. We also present a multi agent system architecture comprising three system agents (i.e. sniffer, extraction and selection agent) to capture and manage the pcap file for data preparation phase. In our hybrid approach, we combine an adaptive neuro fuzzy inference system (ANFIS) and particle swarm optimization (PSO). Evaluations using data captured on a real-world Android device and the MalGenome dataset demonstrate the effectiveness of our approach, in comparison to two hybrid optimization methods which are differential evolution (ANFIS-DE) and ant colony optimization (ANFIS-ACO).
    Matched MeSH terms: Mobile Applications*
  2. Abu Hassan Shaari NS, Abdul Manaf Z, Shahar S, Mohamad Ali N, Mohamed Ismail NA
    Peer-reviewed articles on the usage of mobile applications in the management of diabetes were reviewed. Studies using mobile device applications for diabetes interventions published between January 2007 and March 2013 were included in this review. Studies related to the developmental processes of the mobile applications were excluded. The characteristics of these studies and the outcomes of the methods used in the management of diabetes were gathered. We retrieved a total of 372 articles from ACM Digital library, PubMed and Proquest Medical Library. After applying the inclusion and exclusion criteria, 8 articles were eligible for further review. Most of the studies included in this review showed the effectiveness of mobile applications in diabetes management. Their major contribution comes from feedback functions of the systems that assist participants in the self-monitoring of their blood glucose and dietary intake. However, the majority of the studies showed the limited use of the mobile phone as a tool to input information into systems which would in turn convey a reminder message to the patient. In conclusion, with its features of portability and convenience, mobile application used in the management of diabetes has the potential to improve glycaemic control, resulting in significant clinical and financial benefits.
    Matched MeSH terms: Mobile Applications*
  3. Safavi S, Shukur Z
    PLoS ONE, 2014;9(12):e114306.
    PMID: 25478915 DOI: 10.1371/journal.pone.0114306
    Wearable health tech provides doctors with the ability to remotely supervise their patients' wellness. It also makes it much easier to authorize someone else to take appropriate actions to ensure the person's wellness than ever before. Information Technology may soon change the way medicine is practiced, improving the performance, while reducing the price of healthcare. We analyzed the secrecy demands of wearable devices, including Smartphone, smart watch and their computing techniques, that can soon change the way healthcare is provided. However, before this is adopted in practice, all devices must be equipped with sufficient privacy capabilities related to healthcare service. In this paper, we formulated a new improved conceptual framework for wearable healthcare systems. This framework consists of ten principles and nine checklists, capable of providing complete privacy protection package to wearable device owners. We constructed this framework based on the analysis of existing mobile technology, the results of which are combined with the existing security standards. The approach also incorporates the market share percentage level of every app and its respective OS. This framework is evaluated based on the stringent CIA and HIPAA principles for information security. This evaluation is followed by testing the capability to revoke rights of subjects to access objects and ability to determine the set of available permissions for a particular subject for all models Finally, as the last step, we examine the complexity of the required initial setup.
    Matched MeSH terms: Mobile Applications*
  4. Yang TY, Dehghantanha A, Choo KK, Muda Z
    PLoS ONE, 2016;11(3):e0150300.
    PMID: 26982207 DOI: 10.1371/journal.pone.0150300
    Instant messaging (IM) has changed the way people communicate with each other. However, the interactive and instant nature of these applications (apps) made them an attractive choice for malicious cyber activities such as phishing. The forensic examination of IM apps for modern Windows 8.1 (or later) has been largely unexplored, as the platform is relatively new. In this paper, we seek to determine the data remnants from the use of two popular Windows Store application software for instant messaging, namely Facebook and Skype on a Windows 8.1 client machine. This research contributes to an in-depth understanding of the types of terrestrial artefacts that are likely to remain after the use of instant messaging services and application software on a contemporary Windows operating system. Potential artefacts detected during the research include data relating to the installation or uninstallation of the instant messaging application software, log-in and log-off information, contact lists, conversations, and transferred files.
    Matched MeSH terms: Mobile Applications*
  5. Shiraz M, Gani A, Ahmad RW, Adeel Ali Shah S, Karim A, Rahman ZA
    PLoS ONE, 2014;9(8):e102270.
    PMID: 25127245 DOI: 10.1371/journal.pone.0102270
    The latest developments in mobile computing technology have enabled intensive applications on the modern Smartphones. However, such applications are still constrained by limitations in processing potentials, storage capacity and battery lifetime of the Smart Mobile Devices (SMDs). Therefore, Mobile Cloud Computing (MCC) leverages the application processing services of computational clouds for mitigating resources limitations in SMDs. Currently, a number of computational offloading frameworks are proposed for MCC wherein the intensive components of the application are outsourced to computational clouds. Nevertheless, such frameworks focus on runtime partitioning of the application for computational offloading, which is time consuming and resources intensive. The resource constraint nature of SMDs require lightweight procedures for leveraging computational clouds. Therefore, this paper presents a lightweight framework which focuses on minimizing additional resources utilization in computational offloading for MCC. The framework employs features of centralized monitoring, high availability and on demand access services of computational clouds for computational offloading. As a result, the turnaround time and execution cost of the application are reduced. The framework is evaluated by testing prototype application in the real MCC environment. The lightweight nature of the proposed framework is validated by employing computational offloading for the proposed framework and the latest existing frameworks. Analysis shows that by employing the proposed framework for computational offloading, the size of data transmission is reduced by 91%, energy consumption cost is minimized by 81% and turnaround time of the application is decreased by 83.5% as compared to the existing offloading frameworks. Hence, the proposed framework minimizes additional resources utilization and therefore offers lightweight solution for computational offloading in MCC.
    Matched MeSH terms: Mobile Applications*
  6. Zhang MWB, Ho RCM, Ng CG
    Technol Health Care, 2017 Dec 04;25(6):1173-1176.
    PMID: 28946598 DOI: 10.3233/THC-170868
    In psychiatry, mindfulness based intervention has been increasingly popular as a means of psychosocial intervention over the last decade. With the alvanche of technological advances, there has been a myriad of mindfulness based applications. Recent reviews have highlighted how these applications are lacking in functionalities and without demonstrated efficacy. Other reviews have emphasized that there is a need to take into consideration the design of an application, due to placebo effects. It is the aim of this technical note to illustrate how the 5-Minutes Mindfulness application, which is an application designed to provide mindfulness exercises to relieve distress and suffering amongst palliative patients, have been conceptualized. The conceptualized application builds on previous evidence of the efficacy of 5-Minutes Mindfulness demonstrated by pilot and randomized trials. In terms of design, the currently conceptualized application has been designed such that placebo effects could be controlled for.
    Matched MeSH terms: Mobile Applications*
  7. Morse SS, Murugiah MK, Soh YC, Wong TW, Ming LC
    Ther Innov Regul Sci, 2018 05;52(3):383-391.
    PMID: 29714538 DOI: 10.1177/2168479017725557
    BACKGROUND: Despite the surge in mobile health (mHealth) applications (apps) about pediatric care in commercial app stores, to our knowledge, reviews of the quality of such apps are lacking. Consequently, it is a great challenge for health care professionals (HCPs) to identify appropriate and reliable mHealth apps for delivering health care services. Thus, we performed a structured review of the extant literature about mHealth apps in pediatric care and quality assessment of selected apps found in commercial app stores.

    METHODS: A review and comparison of mHealth apps in pediatric care found in Google's Play Store (Android system) and Apple's App Store (iOS system) were performed. For the structured review of the available literature, Google Scholar, PubMed, IEEE Xplore Digital Library, and Science Direct online databases were used for the literature search. The assessment criteria used for comparison included requirement for Internet connection, size of application, information on disease, diagnostic tools, medical calculator, information on disease treatments, dosage recommendations, and drug interaction checker.

    RESULTS: Fifty mHealth apps for general pediatric care and 8 mHealth apps for specific pediatric diseases were discussed in the literature. Of the 90 mHealth apps we reviewed, 27 that fulfilled the study criteria were selected for quality assessment. Medscape, Skyscape, and iGuideline scored the highest (score=7), while PediaBP scored the lowest (score=3).

    CONCLUSIONS: Medscape, Skyscape, and iGuideline are the most comprehensive mHealth apps for HCPs as quick references for pediatric care. More studies about mHealth apps in pediatric care are warranted to ensure the quality and reliability of mHealth apps.

    Matched MeSH terms: Mobile Applications/standards*
  8. Anthony Berauk VL, Murugiah MK, Soh YC, Chuan Sheng Y, Wong TW, Ming LC
    Ther Innov Regul Sci, 2018 05;52(3):374-382.
    PMID: 29714532 DOI: 10.1177/2168479017725556
    BACKGROUND: Mobile devices and applications (apps) that act as access tools for health care management aid in the improvement of clinical decision making and patient outcomes. However, the tremendous amount of mobile health (mHealth) apps available in commercial app stores makes it hard for the lay users as well as health care professionals to choose the right one for their individual needs. The contents and features of these apps have not been systematically reviewed and compared. This study aims to assess the contents and features of mHealth apps for caring of older people.

    METHODS: A review and comparison of mHealth apps for caring of older people available in Google's Play Store (Android system) and Apple's App Store (iOS system) were performed. Systematic review of previous relevant literature were conducted. The assessment criteria used for comparison were requirement for Internet connection, information of disease, size of app, diagnostics and assessment tools, medical calculator, dosage recommendations and indications, clinical updates, drugs interaction checker, and information on disease management.

    RESULTS: Twenty-five mHealth apps were assessed. Medscape and Skyscape Medical Library are the most comprehensive mHealth apps for general drug information, medical references, clinical score, and medical calculator. Alzheimer's Disease Pocketcard and Confusion: Delirium & Dementia: A Bedside Guide apps are recommended for clinical assessment, diagnosis, drug information, and management of geriatric patients with Alzheimer disease, delirium, and dementia.

    CONCLUSIONS: More studies about mHealth apps for caring of older people are warranted to ensure the quality and reliability of the mHealth apps.

    Matched MeSH terms: Mobile Applications/standards*
  9. Mohd Nizulfika Kassim, Fazila Mohd Zawawi, Nur Safwati Mohd Nor
    Lack of parking space has become major contributing factor to traffic congestion
    which may affect the environmental condition due to incalculable amounts of wasted
    fuel and carbon emission. Congestion and parking are interrelated as looking for
    parking space may create additional delay and impair local circulation. The proposed
    automatic parking system which embedded with radio frequency identification (RFID)
    and internet of things (IoTs) module will introduce a monitoring platform for the
    parking space. This intelligent parking system makes it possible for the drivers to
    obtain information beforehand through their mobile hand phone application or any
    display available. This paper describes the mechanical design of automatic indoor
    parking space with the advancement of sensor networks application known as RFID.
    The design criterias were studied to develop a parking prototype which dealing with
    number of degree of freedom as well as movement mechanism. The result presented
    at the end of this paper was evaluated from the engineering analysis using the
    developed parking prototype to meet system performance as well as design safety
    Matched MeSH terms: Mobile Applications
  10. Hazim M, Anuar NB, Ab Razak MF, Abdullah NA
    PLoS ONE, 2018;13(6):e0198884.
    PMID: 29889897 DOI: 10.1371/journal.pone.0198884
    Product reviews are the individual's opinions, judgement or belief about a certain product or service provided by certain companies. Such reviews serve as guides for these companies to plan and monitor their business ventures in terms of increasing productivity or enhancing their product/service qualities. Product reviews can also increase business profits by convincing future customers about the products which they have interest in. In the mobile application marketplace such as Google Playstore, reviews and star ratings are used as indicators of the application quality. However, among all these reviews, hereby also known as opinions, spams also exist, to disrupt the online business balance. Previous studies used the time series and neural network approach (which require a lot of computational power) to detect these opinion spams. However, the detection performance can be restricted in terms of accuracy because the approach focusses on basic, discrete and document level features only thereby, projecting little statistical relationships. Aiming to improve the detection of opinion spams in mobile application marketplace, this study proposes using statistical based features that are modelled through the supervised boosting approach such as the Extreme Gradient Boost (XGBoost) and the Generalized Boosted Regression Model (GBM) to evaluate two multilingual datasets (i.e. English and Malay language). From the evaluation done, it was found that the XGBoost is most suitable for detecting opinion spams in the English dataset while the GBM Gaussian is most suitable for the Malay dataset. The comparative analysis also indicates that the implementation of the proposed statistical based features had achieved a detection accuracy rate of 87.43 per cent on the English dataset and 86.13 per cent on the Malay dataset.
    Matched MeSH terms: Mobile Applications
  11. Karthikeyan SK, Thangarajan R, Theruvedhi N, Srinivasan K
    Oman J Ophthalmol, 2019 6 15;12(2):73-77.
    PMID: 31198290 DOI: 10.4103/ojo.OJO_226_2018
    Google Play Store was used to search for eye care-related applications the android simulator using various general terms related to eye care to review and categorize various interactive eye care-related applications in android platform from the details available in the application website. Data collected from application description and application developer's webpage include target audience, category of apps, estimated number of downloads, average user rating, involvement of eye care professionals in developing the application, and cost of the app. All these data were collected only from the details provided in the application website considering on online user perspective and the developers were not contacted to collect any other details. In total, 475 applications were identified and grouped into 13 categories depending on the type of service the application provide. Out of which, only 107 (22.53%) applications had mentioned about the eye care professional involvement in their design or development of the application. The applications were also stratified according to the target audience, and many had no user rating with very few downloads. The lack of evidence-based principles and standardization of application development should be taken into consideration to avoid its negative impact on the community, especially in eye care.
    Matched MeSH terms: Mobile Applications
  12. Al-Haiqi A, Ismail M, Nordin R
    ScientificWorldJournal, 2014;2014:969628.
    PMID: 25295311 DOI: 10.1155/2014/969628
    Covert channels are not new in computing systems, and have been studied since their first definition four decades ago. New platforms invoke thorough investigations to assess their security. Now is the time for Android platform to analyze its security model, in particular the two key principles: process-isolation and the permissions system. Aside from all sorts of malware, one threat proved intractable by current protection solutions, that is, collusion attacks involving two applications communicating over covert channels. Still no universal solution can countermeasure this sort of attack unless the covert channels are known. This paper is an attempt to reveal a new covert channel, not only being specific to smartphones, but also exploiting an unusual resource as a vehicle to carry covert information: sensors data. Accelerometers generate signals that reflect user motions, and malware applications can apparently only read their data. However, if the vibration motor on the device is used properly, programmatically produced vibration patterns can encode stolen data and hence an application can cause discernible effects on acceleration data to be received and decoded by another application. Our evaluations confirmed a real threat where strings of tens of characters could be transmitted errorless if the throughput is reduced to around 2.5-5 bps. The proposed covert channel is very stealthy as no unusual permissions are required and there is no explicit communication between the colluding applications.
    Matched MeSH terms: Mobile Applications/trends*
  13. Nahar L, Jaafar A, Ahamed E, Kaish AB
    Assist Technol, 2015;27(3):172-82.
    PMID: 26427745 DOI: 10.1080/10400435.2015.1011758
    Visually impaired students (VIS) are unable to get visual information, which has made their learning process complicated. This paper discusses the overall situation of VIS in Bangladesh and identifies major challenges that they are facing in getting education. The Braille system is followed to educate blind students in Bangladesh. However, lack of Braille based educational resources and technological solutions have made the learning process lengthy and complicated for VIS. As a developing country, Bangladesh cannot afford for the costly Braille related technological tools for VIS. Therefore, a mobile phone based Braille application, "mBRAILLE", for Android platform is designed to provide an easy Braille learning technology for VIS in Bangladesh. The proposed design is evaluated by experts in assistive technology for students with disabilities, and advanced learners of Braille. The application aims to provide a Bangla and English Braille learning platform for VIS. In this paper, we depict iterative (participatory) design of the application along with a preliminary evaluation with 5 blind subjects, and 1 sighted and 2 blind experts. The results show that the design scored an overall satisfaction level of 4.53 out of 5 by all respondents, indicating that our design is ready for the next step of development.
    Matched MeSH terms: Mobile Applications*
  14. Loo JL, Koh EB, Pang NT, Nor Hadi NM
    Med Educ, 2016 Nov;50(11):1165.
    PMID: 27762032 DOI: 10.1111/medu.13195
    Matched MeSH terms: Mobile Applications/utilization*
  15. Vizcarra JA, Sánchez-Ferro Á, Maetzler W, Marsili L, Zavala L, Lang AE, et al.
    Mov. Disord., 2019 05;34(5):676-681.
    PMID: 30901492 DOI: 10.1002/mds.27673
    Matched MeSH terms: Mobile Applications*
  16. Wattanapisit A, Saengow U, Ng CJ, Thanamee S, Kaewruang N
    PLoS ONE, 2018;13(6):e0199813.
    PMID: 29958272 DOI: 10.1371/journal.pone.0199813
    Pokémon GO becomes the most rapidly downloaded mobile application in history. This study aimed to determine the physical activity of medical students, who played Pokémon GO, and the change in their use of Pokémon GO and physical activity over time. An observational study was conducted. Physical activity was measured by using self-administered questionnaires at baseline (phase 0), 1 month (phase 1) and 3 months (phase 2) post-Pokémon GO download. The changes in physical activity (phase 0 to 1 and phase 1 to 2) were analysed using Wilcoxon Signed Ranked test. The trend (3-point analysis) of physical activity from phase 0, 1 to 2 were analysed using Friedman's test. The relationship between physical activity and time spent gaming was analysed by using Spearman's rank correlation. Twenty-six participants (mean age 22.04±1.70 years) participated in the study. There was no statistically significant change in physical activity during the three-month period (p = 0.45). Only 11 participants (42.3%) were still playing Pokémon GO 3 months after download. The key reasons for playing game were 'have fun' and 'pass time/boredom'. The most common commuting mode to play the game was walking; some drove a car or motorcycle while playing the game. There was no correlation between physical activity and time spent gaming. This study highlights how the lack of sustainability of the game and the motivation behind using Pokémon GO as a game rather than a physical activity app may have undermined the potential of using the game to improve physical activity. Further studies need to explore the reasons for the lack of sustainability and how to combine fun with behavioural change.
    Matched MeSH terms: Mobile Applications*
  17. Hindia MN, Rahman TA, Ojukwu H, Hanafi EB, Fattouh A
    PLoS ONE, 2016;11(5):e0155077.
    PMID: 27152423 DOI: 10.1371/journal.pone.0155077
    As the enterprise of the "Internet of Things" is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application's priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness.
    Matched MeSH terms: Mobile Applications
  18. Sharifah Norkhadijah Syed Ismail, Josfirin Uding Rangga, Irniza Rasdi, Umi Raihana Abd Rahman, Mohd Armi Abu Samah
    Introduction: The application of M-learning or mobile application (app) as a tool to disseminate occupational safety and health (OSH) information among students and staff in the university, to replace the use of conventional noticeboard was assessed in this study. Materials and Methods: Study was conducted between February to March 2016 and involved 124 respondents from health sciences program in Universiti Putra Malaysia. OSH information was incorporated into a mobile-app using online software and respondents were requested to use the app for fourteen days. A self-administered questionnaire was used to assess the level of knowledge, attitude and practice of respondents before and after using the app. Results: The mobile app has significantly increased the knowledge score among respondents (z = -7.331, p
    Matched MeSH terms: Mobile Applications
  19. Cahyani NDW, Choo KR, Ab Rahman NH, Ashman H
    J. Forensic Sci., 2019 Jan;64(1):243-253.
    PMID: 29783278 DOI: 10.1111/1556-4029.13820
    Advances in technologies including development of smartphone features have contributed to the growth of mobile applications, including dating apps. However, online dating services can be misused. To support law enforcement investigations, a forensic taxonomy that provides a systematic classification of forensic artifacts from Windows Phone 8 (WP8) dating apps is presented in this study. The taxonomy has three categories, namely: Apps Categories, Artifacts Categories, and Data Partition Categories. This taxonomy is built based on the findings from a case study of 28 mobile dating apps, using mobile forensic tools. The dating app taxonomy can be used to inform future studies of dating and related apps, such as those from Android and iOS platforms.
    Matched MeSH terms: Mobile Applications
  20. Mohamad Marzuki MF, Yaacob NA, Yaacob NM
    JMIR Hum Factors, 2018 May 14;5(2):e10308.
    PMID: 29759955 DOI: 10.2196/10308
    BACKGROUND: A mobile app is a programmed system designed to be used by a target user on a mobile device. The usability of such a system refers not only to the extent to which product can be used to achieve the task that it was designed for, but also its effectiveness and efficiency, as well as user satisfaction. The System Usability Scale is one of the most commonly used questionnaires used to assess the usability of a system. The original 10-item version of System Usability Scale was developed in English and thus needs to be adapted into local languages to assess the usability of a mobile apps developed in other languages.

    OBJECTIVE: The aim of this study is to translate and validate (with cross-cultural adaptation) the English System Usability Scale questionnaire into Malay, the main language spoken in Malaysia. The development of a translated version will allow the usability of mobile apps to be assessed in Malay.

    METHODS: Forward and backward translation of the questionnaire was conducted by groups of Malay native speakers who spoke English as their second language. The final version was obtained after reconciliation and cross-cultural adaptation. The content of the Malay System Usability Scale questionnaire for mobile apps was validated by 10 experts in mobile app development. The efficacy of the questionnaire was further probed by testing the face validity on 10 mobile phone users, followed by reliability testing involving 54 mobile phone users.

    RESULTS: The content validity index was determined to be 0.91, indicating good relevancy of the 10 items used to assess the usability of a mobile app. Calculation of the face validity index resulted in a value of 0.94, therefore indicating that the questionnaire was easily understood by the users. Reliability testing showed a Cronbach alpha value of .85 (95% CI 0.79-0.91) indicating that the translated System Usability Scale questionnaire is a reliable tool for the assessment of usability of a mobile app.

    CONCLUSIONS: The Malay System Usability Scale questionnaire is a valid and reliable tool to assess the usability of mobile app in Malaysia.

    Matched MeSH terms: Mobile Applications
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