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  • 1
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    IJERPH, Vol. 11, Pages 12716-12725: Counseling Role of Primary Care Physicians in Preventing Early Childhood Caries in Children with Congenital Heart Disease (2014)
    MDPI Publishing
    Details
    Publication Date: 2014-12-10
    Description: The dental health of preschool children with congenital heart disease (CHD) is usually poor, which may contribute to the development of infective endocarditis (IE). Primary care physicians play an important role in providing access to preventive dental services, particularly for preschool children. The object of this study was to provide epidemiologic evidence for the impact of primary care physicians’ (PCP’s) counseling role on early childhood caries in children with CHD in Guangzhou, China, which might guide future caries prevention to decrease the risk of IE in children with CHD. A hospital-based, case-control study was performed, which contained 100 children with newly diagnosed early childhood caries and 100 matched (sex and age) children without dental caries. All of the subjects were diagnosed with CHD at birth and recruited from Guangdong Cardiovascular Institute from 2012 through 2013. A conditional multivariate logistic-regression model was used to assess the associations between PCPs’ role and early childhood caries with a significance level of 5%. Our findings revealed that mother’s education level (OR = 0.36, CL = 0.14–0.92) and knowledge, being educated on the relationship between CHD and infective endocarditis (OR = 0.48, CL = 0.25–0.94) and the impact of oral health on infective endocarditis (OR = 0.37, CL = 0.18–0.79) by the PCP were associated with early childhood caries. PCPs played an important role in preventing early childhood caries among preschool children with CHD in Guangzhou, China.
    Print ISSN: 1661-7827
    Electronic ISSN: 1660-4601
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Medicine
    Published by MDPI Publishing
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  • 2
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    Remote Sensing, Vol. 9, Pages 728: Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images (2017)
    MDPI Publishing
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    Publication Date: 2017-07-15
    Description: Thirty-year (1980–2009) tropical cyclone (TC) images from geostationary satellite (GOES, Meteosat, GMS, MTSAT and FY2) infrared sensors covering the Northwestern Pacific were used to build a TC size dataset based on objective models. The models are based on a correlation between the size of TCs, defined as the mean azimuth radius of 34 kt surface winds (R34) and the brightness temperature radial profiles derived from satellite imagery. Using satellite images between 2001 and 2009, we obtained 16,548 matchup samples and found the correlation to be positive in the TC’s inner core region (in the annulus field 64 km from the TC center) and negative in its outer region (in the annulus field 100–250 km from the TC center). Then, we performed a stepwise regression to select the dominant variables and derived the associated coefficients for the objective models. Independent validation against best track archives shows the median estimation error to be between 27 and 65 km, which are not significantly different to other satellite series data. Finally, we applied the models to 721 TCs and made 13,726 measurements of TC size. The difference of mean TC size derived from our models, and also that from the US Joint Typhoon Warning Center (JTWC) best track archives is 19 km. The developed database is valuable in the research fields of TC structure, climatology, and the initialization of forecasting models.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 3
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    Symmetry, Vol. 9, Pages 223: Reversible Dual-Image-Based Hiding Scheme Using Block Folding Technique (2017)
    MDPI Publishing
    In: Symmetry
    Details
    Publication Date: 2017-10-13
    Description: Symmetry, Vol. 9, Pages 223: Reversible Dual-Image-Based Hiding Scheme Using Block Folding Technique Symmetry doi: 10.3390/sym9100223 Authors: Tzu-Chuen Lu Hui-Shih Leng The concept of a dual-image based scheme in information sharing consists of concealing secret messages in two cover images; only someone who has both stego-images can extract the secret messages. In 2015, Lu et al. proposed a center-folding strategy where each secret symbol is folded into the reduced digit to reduce the distortion of the stego-image. Then, in 2016, Lu et al. used a frequency-based encoding strategy to reduce the distortion of the frequency of occurrence of the maximum absolute value. Because the folding strategy can obviously reduce the value, the proposed scheme includes the folding operation twice to further decrease the reduced digit. We use a frequency-based encoding strategy to encode a secret message and then use the block folding technique by performing the center-folding operation twice to embed secret messages. An indicator is needed to identify the sequence number of the folding operation. The proposed scheme collects several indicators to produce a combined code and hides the code in a pixel to reduce the size of the indicators. The experimental results show that the proposed method can achieve higher image quality under the same embedding rate or higher payload, which is better than other methods.
    Electronic ISSN: 2073-8994
    Topics: Mathematics , Physics
    Published by MDPI Publishing
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  • 4
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    Sensors, Vol. 18, Pages 1341: Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City (2018)
    MDPI Publishing
    In: Sensors
    Details
    Publication Date: 2018-04-27
    Description: Sensors, Vol. 18, Pages 1341: Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City Sensors doi: 10.3390/s18051341 Authors: Kun Guo Yueming Lu Hui Gao Ruohan Cao Smart city (SC) technologies can provide appropriate services according to citizens’ demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which enables a massive number of devices to connect with each other. However, these devices usually come from different manufacturers with different product standards, which confront interactive control problems. Moreover, these devices will produce large amounts of data, and efficiently analyzing these data for intelligent services. In this paper, we propose a novel artificial intelligence-based semantic IoT (AI-SIoT) hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services. In particular, the proposed architecture is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices. The AI technology can support very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Furthermore, we also present several practical use cases of the proposed AI-SIoT architecture and the opportunities and challenges to implement the proposed AI-SIoT for future SCs are also discussed.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI Publishing
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  • 5
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    Sustainability, Vol. 10, Pages 99: Study on Adaptive-Passive and Semi-Active Eddy Current Tuned Mass Damper with Variable Damping (2018)
    MDPI Publishing
    Details
    Publication Date: 2018-01-04
    Description: Sustainability, Vol. 10, Pages 99: Study on Adaptive-Passive and Semi-Active Eddy Current Tuned Mass Damper with Variable Damping Sustainability doi: 10.3390/su10010099 Authors: Weixing Shi Liangkun Wang Zheng Lu Hui Gao Tuned mass damper (TMD) is a widely used vibration control device, consisting of a mass, some springs and damping elements. Viscous damper is mostly used as a damping element; however, it has many unsustainable problems, e.g., poor durability, sensitive to the change of temperature, difficult to adjust the damping, oil leakage etc. In this paper, a new sustainable adaptive-passive eddy current tuned mass damper (ECTMD) with variable damping, which is very easy to be further upgraded to a semi-active one, is proposed. Four important parameters, e.g., adsorption position of permanent magnets, thickness of the conductive plate, thickness of the extra steel plate and the air gap between permanent magnets and the conductive plate are investigated by a parametric study. Two new evaluation indexes are put forward to indicate the damping mechanism of the proposed device. The relationship between effective damping coefficient and air gap is fitted through a quadratic function. Then, the corresponding design method of the proposed adaptive–passive ECTMD is presented. At last, the previous adaptive–passive ECTMD is upgraded to a semi-active one, which can adjust its eddy current damping through adjusting its air gap in real-time, based on the linear-quadratic-Gaussian algorithm. The effectiveness of semi-active ECTMD is evaluated through harmonic excitations and human-induced excitations. The results show that the semi-active ECTMD with variable damping has a better vibration control effect than the optimized passive one.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 6
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    Energies, Vol. 11, Pages 714: Rapid Estimation Method for State of Charge of Lithium-Ion Battery Based on Fractional Continual Variable Order Model (2018)
    MDPI Publishing
    In: Energies
    Details
    Publication Date: 2018-03-23
    Description: Energies, Vol. 11, Pages 714: Rapid Estimation Method for State of Charge of Lithium-Ion Battery Based on Fractional Continual Variable Order Model Energies doi: 10.3390/en11040714 Authors: Xin Lu Hui Li Jun Xu Siyuan Chen Ning Chen In recent years, the fractional order model has been employed to state of charge (SOC) estimation. The non integer differentiation order being expressed as a function of recursive factors defining the fractality of charge distribution on porous electrodes. The battery SOC affects the fractal dimension of charge distribution, therefore the order of the fractional order model varies with the SOC at the same condition. This paper proposes a new method to estimate the SOC. A fractional continuous variable order model is used to characterize the fractal morphology of charge distribution. The order identification results showed that there is a stable monotonic relationship between the fractional order and the SOC after the battery inner electrochemical reaction reaches balanced. This feature makes the proposed model particularly suitable for SOC estimation when the battery is in the resting state. Moreover, a fast iterative method based on the proposed model is introduced for SOC estimation. The experimental results showed that the proposed iterative method can quickly estimate the SOC by several iterations while maintaining high estimation accuracy.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 7
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    A Novel Approach Based on Kano Model, Interval 2-Tuple Linguistic Representation Model, and Prospect Theory for Apperceiving Key Customer Requirements (2018)
    Hindawi
    Details
    Publication Date: 2018-07-18
    Description: The precisely perception of key customer requirements (CRs) is critically important for customer collaborative product innovation (CCPI) design. A novel approach is proposed based on the Kano model, interval 2-tuple linguistic representation model, and prospect theory. First of all, a Kano model is constructed to preliminarily screen the relatively important product function attributes. For the uncertain and vague information of CRs, an interval 2-tuple linguistic representation model is proposed to determine the weight of CRs. Then, the comprehensive prospects value is utilized for sorting the innovative programs based on the prospect theory. Finally, a numerical example is given to verify the scientific and validity of the proposed method.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 8
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    Research on Mechanical Behavior of Viscoelastic Food Material in the Mode of Compressed Chewing (2015)
    Hindawi
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    Publication Date: 2015-01-01
    Description: The degeneration mechanism of viscoelastic food material in specific processing mode affects the formulation of food material processing technology. On the other hand, it determines the taste of food in the chewing process. The viscoelastic food material was taken as the research object, and experimental data were obtained through stress relaxation experiments and strain relaxation experiments of texture analyzer material. Based on Maxwell model and Kelvin model, describing small deformation of the nonlinear viscoelastic constitutive model, building a composite model was proposed. By making analysis and comparison between constructed composite model and Maxwell model and Kelvin model, it was verified that the constructed composite model can be better described as the mechanical behavior of viscoelastic food material under the mode of compressed chewing, which is also providing a more precise theoretical model for the processing and development of viscoelastic food material.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 9
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    A Variable Neighborhood MOEA/D for Multiobjective Test Task Scheduling Problem (2014)
    Hindawi
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    Publication Date: 2014-01-01
    Description: Test task scheduling problem (TTSP) is a typical combinational optimization scheduling problem. This paper proposes a variable neighborhood MOEA/D (VNM) to solve the multiobjective TTSP. Two minimization objectives, the maximal completion time (makespan) and the mean workload, are considered together. In order to make solutions obtained more close to the real Pareto Front, variable neighborhood strategy is adopted. Variable neighborhood approach is proposed to render the crossover span reasonable. Additionally, because the search space of the TTSP is so large that many duplicate solutions and local optima will exist, the Starting Mutation is applied to prevent solutions from becoming trapped in local optima. It is proved that the solutions got by VNM can converge to the global optimum by using Markov Chain and Transition Matrix, respectively. The experiments of comparisons of VNM, MOEA/D, and CNSGA (chaotic nondominated sorting genetic algorithm) indicate that VNM performs better than the MOEA/D and the CNSGA in solving the TTSP. The results demonstrate that proposed algorithm VNM is an efficient approach to solve the multiobjective TTSP.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 10
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    Impact of Personnel Flexibility on Job Shop Scheduling (2016)
    Hindawi
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    Publication Date: 2016-01-01
    Description: Considering the lack of the research on the relationship between HR flexibility and scheduling effect, a resource-competency matrix-based method was proposed in order to reveal the quantitative relationship between them. Meanwhile, a job shop scheduling model with HR flexibility was established and the improved genetic algorithm was used to solve the model. A case analysis demonstrated significant impact of HR flexibility on the scheduling effect, which provided valuable guidance for building flexible manufacturing systems.
    Print ISSN: 1058-9244
    Electronic ISSN: 1875-919X
    Topics: Computer Science , Media Resources and Communication Sciences, Journalism
    Published by Hindawi
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