Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (29)
  • Open Access


    Awareness as the Most Effective Measure to Mitigate the Spread of COVID-19 in Nigeria

    Isa Abdullahi Baba1, *, Dumitru Baleanu2, 3

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 1945-1957, 2020, DOI:10.32604/cmc.2020.011508

    Abstract A mathematical model consisting of a system of four nonlinear ordinary differential equations is constructed. Our aim is to study the dynamics of the spread of COVID-19 in Nigeria and to show the effectiveness of awareness and the need for relevant authorities to engage themselves more in enlightening people on the significance of the available control measures in mitigating the spread of the disease. Two equilibrium solutions; Disease free equilibrium and Endemic equilibrium solutions were calculated and their global stability analysis was carried out. Basic reproduction ratio ( More >

  • Open Access


    The Impact of Privacy Seal on Users’ Perception in Network Transactions

    Jing Chen,Yuchen Luo2,†, Ruiqi Du3,‡

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 199-206, 2020, DOI:10.32604/csse.2020.35.199

    Abstract In the age of big data, the issue of online privacy has attracted much attention from all sectors. The introduction and establishment of an evaluation system for the privacy agreement based on a third party, together with the establishment of a safer internet transaction environment, can help to establish mutual trust between users and the platform. With the research background links to the online trading platform, this article investigates how the privacy seal which is provided by the third-party evaluation organization influences and addresses trust-awareness and privacy concerns of users, as well as exposing information and purchasing data. According to… More >

  • Open Access


    "Data Mining of Urban New Energy Vehicles in an Intelligent Government Subsidy Environment Using Closed-Loop Supply Chain Pricing Model"

    Jing-Hua Zhao1,†, Da-Lin Zeng2,*, Ting-Wei Zhou1,‡, Ze-Chao Zhu1,§

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 151-172, 2020, DOI:10.32604/csse.2020.35.151

    Abstract Given the government subsidies for new energy vehicles, this study is conducted to study the closed-loop supply chain comprising individual manufacturers, individual retailers and individual third-party recyclers. In this paper, combine the reality of new energy vehicles with the relevant research of game theory, and establish an no government subsidy model (Model N), a government subsidized consumer model (Model C), a government subsidized manufacturer model (Model M), a government subsidized third party recycler model (Model T), and a government subsidized retailer model (Model R) for quantitative research. Then, numerical examples are used to simulate the impact of government subsidies on… More >

  • Open Access


    An Improved Crow Search Based Intuitionistic Fuzzy Clustering Algorithm for Healthcare Applications

    Parvathavarthini S1,*, Karthikeyani Visalakshi N2, Shanthi S3, Madhan Mohan J4

    Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 253-260, 2020, DOI:10.31209/2019.100000155

    Abstract Intuitionistic fuzzy clustering allows the uncertainties in data to be represented more precisely. Medical data usually possess a high degree of uncertainty and serve as the right candidate to be represented as Intuitionistic fuzzy sets. However, the selection of initial centroids plays a crucial role in determining the resulting cluster structure. Crow search algorithm is hybridized with Intuitionistic fuzzy C-means to attain better results than the existing hybrid algorithms. Still, the performance of the algorithm needs improvement with respect to the objective function and cluster indices especially with internal indices. In order to address these issues, the crow search algorithm… More >

  • Open Access


    Challenges and Growth as a Mental Health Professional from Volunteering Experiences in the Community Gambling Awareness Campaign

    So Yeon Yoo1, Yun-Jung Choi2,*, Youn-Joo Um2,*

    International Journal of Mental Health Promotion, Vol.22, No.2, pp. 83-91, 2020, DOI:10.32604/IJMHP.2020.011299

    Abstract As the demand for high-quality mental health services increases, producing expert nurses with the skills and expertise to deal with various complex mental health situations involving diverse subjects is critical. Nursing programs should be prepared to provide education that can improve mental health professional competence. Using a qualitative study and focus group interviews, we focused on the experiences of nursing students who voluntarily participated in campaign activities to prevent gambling problems. The respondents were 23 nursing students who participated in the campaign for more than four months. Data were analyzed using Downe-Wamboldt’s eight steps of content analysis. The experiences of… More >

  • Open Access


    Media and Mental Health Literacy: Do Mediated Interventions Enhance Mental Health Awareness? Implications and Policy Recommendations

    Arooj Arshad1,*, Mian Ahmad Hanan2,*, Noshina Saleem3, Saima Farzooq4, Remsha Fatima5

    International Journal of Mental Health Promotion, Vol.21, No.3, pp. 99-109, 2019, DOI:10.32604/IJMHP.2019.010834

    Abstract In the current digital era, public health campaigns using media has been very successful in giving knowledge and changes the attitudes of people. But till now scarce literature is available related to media campaigns about mental health. In this study Pre-Post Quasi Experimental Design using vignettes as a data collection measure were employed. The participants were categories in to experimental (n = 138) and control (n = 134) groups having 18–55 years of age to evaluate the efficiency of media mediated interventions using social media campaign in increasing Mental Health Literacy (MHL). The results from nonparametric chi-square test indicated that… More >

  • Open Access


    System Architecture and Key Technologies of Network Security Situation Awareness System YHSAS

    Weihong Han1, Zhihong Tian1,*, Zizhong Huang2, Lin Zhong3, Yan Jia2

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 167-180, 2019, DOI:10.32604/cmc.2019.05192

    Abstract Network Security Situation Awareness System YHSAS acquires, understands and displays the security factors which cause changes of network situation, and predicts the future development trend of these security factors. YHSAS is developed for national backbone network, large network operators, large enterprises and other large-scale network. This paper describes its architecture and key technologies: Network Security Oriented Total Factor Information Collection and High-Dimensional Vector Space Analysis, Knowledge Representation and Management of Super Large-Scale Network Security, Multi-Level, Multi-Granularity and Multi-Dimensional Network Security Index Construction Method, Multi-Mode and Multi-Granularity Network Security Situation Prediction Technology, and so on. The performance tests show that YHSAS… More >

  • Open Access


    Network Security Situation Awareness Framework based on Threat Intelligence

    Hongbin Zhang1, 2, Yuzi Yi1, *, Junshe Wang1, Ning Cao3, *, Qiang Duan4

    CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 381-399, 2018, DOI: 10.3970/cmc.2018.03787

    Abstract Network security situation awareness is an important foundation for network security management, which presents the target system security status by analyzing existing or potential cyber threats in the target system. In network offense and defense, the network security state of the target system will be affected by both offensive and defensive strategies. According to this feature, this paper proposes a network security situation awareness method using stochastic game in cloud computing environment, uses the utility of both sides of the game to quantify the network security situation value. This method analyzes the nodes based on the network security state of… More >

  • Open Access


    Modeling Impacts on Space Situational Awareness PHD Filter Tracking

    C. Frueh1

    CMES-Computer Modeling in Engineering & Sciences, Vol.111, No.2, pp. 171-201, 2016, DOI:10.3970/cmes.2016.111.171

    Abstract In recent years, probabilistic tracking methods have been becoming increasingly popular for solving the multi-target tracking problem in Space Situational Awareness (SSA). Bayesian frameworks have been used to describe the objects' of interest states and cardinality as point processes. The inputs of the Bayesian framework filters are a probabilistic description of the scene at hand, the probability of clutter during the observation, the probability of detection of the objects, the probability of object survival and birth rates, and in the state update, the measurement uncertainty and process noise for the propagation. However, in the filter derivation, the assumptions of Poisson… More >

Displaying 21-30 on page 3 of 29. Per Page