Digital empowerment of home product design and manufacturing integration, to achieve the whole process of personalized customization of home products innovative design. Using big data for user ...analysis, we obtained functional demand data for smart home modules, and 28.5% of user demand is reflected in cell phone interconnection. Using the KANO model, user customization demands can be calculated to form basic and excitement type demand expectations represented by A and M. Then based on the fuzzy QFD method for demand raw data conversion, to get the initial weights and weighted weights of each demand item, taking A14 home space utilization efficiency as an example, the initial weights and weighted weights of A14 are 0.66 and 0.10, respectively, and the importance of demand sorted seventh. Combined with the specific application of modular design in smart homes, the modular design of smart homes is verified. Further adjustments should be made to enhance the innovation degree of smart homes.
This paper first proposes the direction of constructing a higher mathematics teaching mode supported by intelligent technology and then models the learner portrait of the learning outcome data ...according to the subject knowledge graph. An improved ant colony optimization algorithm is used to search for the optimal learning path, which is then combined with an improved convolutional neural network to generate a personalized learning path. The Trans R method is used to quantify the relationship between learners and learning resources and a semi-supervised learning conditional random field method based on K-NN is proposed to label learning resources and generate learning accurate evaluation for smart teaching. The smart teaching model of advanced mathematics courses is applied and analyzed in terms of students’ advanced mathematics pre and post-test scores, students’ satisfaction, teachers’ teaching methods and teaching resources in four directions. The analysis obtained that the posttest scores of the learners in the experimental group were 75.631, and the posttest scores of the learners in the control group were 66.314, with a difference of 9.317. The significance level of the variance chi-square test was 0.000<0.05, which shows that there is a significant difference between the posttest scores of the experimental group and those of the control group, and it indicates that the wisdom teaching of higher mathematics significantly enhances the learning performance of the learners.
for a proper subdomain
D
of
and for all
x,y
∈
D
define
where the infimum is taken over all curves
C
xy
= γ0, 1 in
D
with γ(0) =
x
and γ(1) =
y
, and Cap denotes the conformal capacity of condensers. ...The quantity
μ
D
is a metric if and only if the domain
D
has a boundary of positive conformal capacity. If Cap(
∂D
) > 0, we call
μ
D
the modulus metric of
D
. Ferrand et al. (1991) have conjectured that isometries for the modulus metric are conformal mappings. Very recently, this conjecture has been proved for
n
= 2 by Betsakos and Pouliasis (2019). In this paper, we prove that the conjecture is also true in higher dimensions
n
⩾ 3.
This paper first introduces the design and key technologies of the whole interactive VR system, focusing on the principle of the node-based interactive VR system program, the integration of available ...modules, and the architecture of the plug-in system. It also allows developers to use visualization programs to create scenarios to complete the required design activities. Based on this, this paper uses PSR rough sets and ARIMA model to evaluate the spatial structure strength of beach stability under the combined action of natural and human factors, clarify the potential factors, and to some extent predict the future development trend of L beach. The results of this study illustrate the law of estuarine bank erosion and the theory of ecological stability, which is of great significance to regional wetland safety and beach stability. Finally, by using the methods of literature survey and network survey, this paper selects 13 different first-level public libraries as samples to investigate and study the development of bookbinding mode. There are four characteristics of library bookbinding: personalized intelligent service, interactive three-dimensional service, space reconstruction service, and virtual experience service. At the same time, the paper analyzes the existing problems and points out that it is urgent to strengthen the bookbinding management plan of public libraries and strengthen the service scope and depth of public libraries, so as to improve the necessary functional requirements of public libraries. Moreover, the bookbinding plans of public libraries in different regions are unbalanced and need to be improved. In this paper, the results of the research on the stability of coastal beaches based on interactive VR technology are applied to the bookbinding design of the city library, so as to promote the development of the bookbinding design of the city library.
We present a novel, low-cost approach to fabricate flexible piezoelectric nano- generators （NGs） consisting of ZnO nanowires （NWs） on carbon fibers and foldable Au-coated ZnO NWs on paper. By using ...such designed structure of the NGs, the radial ZnO NWs on a cylindrical fiber can be utilized fully and the electrical output of the NG is improved. The electrical output behavior of the NGs can be optionally controlled by increasing the fiber number, adjusting the strain rate and connection modes. For the single-fiber based NGs, the output voltage is 17 mV and the current density is about 0.09 μA·cm^-2, and the electrical output is enhanced greatly compared to that of previous similar micro-fiber based NGs. Compared with the single-fiber based NGs, the output current of the multi-fiber based NGs made of 200 carbon fibers increased 100-fold. An output voltage of 18 mV and current of 35 nA are generated from the multi-fiber based NGs. The electrical energy generated by the NGs is enough to power a practical device. The developed novel NGs can be used for smart textile structures, wearable and self-powered nanodevices.
Recently, maxout networks have brought significant improvements to various speech recognition and computer vision tasks. In this paper we introduce two new types of generalized maxout units, which we ...call p-norm and soft-maxout. We investigate their performance in Large Vocabulary Continuous Speech Recognition (LVCSR) tasks in various languages with 10 hours and 60 hours of data, and find that the p-norm generalization of maxout consistently performs well. Because, in our training setup, we sometimes see instability during training when training unbounded-output nonlinearities such as these, we also present a method to control that instability. This is the "normalization layer", which is a nonlinearity that scales down all dimensions of its input in order to stop the average squared output from exceeding one. The performance of our proposed nonlinearities are compared with maxout, rectified linear units (ReLU), tanh units, and also with a discriminatively trained SGMM/HMM system, and our p-norm units with p equal to 2 are found to perform best.
Herein, we demonstrate a ternary ionic hydrogel sensor consisting of tannic acid, sodium alginate, and covalent cross-linked polyacrylamide as skin-mountable and wearable sensors. Based on the ...multiple weak H-bonds and synergistic effects between the three components, the as-prepared hybrid hydrogel exhibits ultrastretchability with high elasticity, good self-healing, excellent conformability, and high self-adhesiveness to diverse substrates both in air and underwater. More importantly, the ternary hydrogel exhibits high strain sensitivity especially under subtle strains with a gauge factor of 2.0, which is close to the theoretical value of the ionic hydrogel sensors; an extremely large workable range of strain (0.05–2100%); and a low operating voltage 0.07 V. Consequently, the sensor demonstrates superior sensing performance for real-time monitoring of the large and subtle human motions, including limb motions, swallowing, smiling, and wrist pulse. Therefore, it is believed that the STP hydrogel has great potential applications in health monitoring, smart wearable devices, and soft robots.
Crop residue burning is an important source of air pollutants and strongly affects the regional air quality and global climate change. This study presents a detailed emission inventory of major air ...pollutants from crop residue burning for the year of 2014 in China by the bottom-up method. Activity data were investigated for 296 prefecture-level cities. Emission factors were determined for indoor and in-field burning separately. Regional differences were considered for the proportion of residue burned (PCRB), the ratio between indoor and in-field burning, and the ratio of straw to grain production. The emissions were estimated at prefecture-city level as the first step; then they were redistributed within a city based on 1-km resolution land-use, MODIS fire counts, and rural population. Temporal variation was determined according to farming practices in different regions and MODIS fire counts. Uncertainties were estimated using the Monte Carlo method. The total emissions from crop residue burning in China were estimated to be 0.13 (−47–92%) for BC, 0.71 (−48–92%) for OC, 1.77 (−48–91%) for PM2.5, 2.04 (−50–100%) for PM10, 0.16 (−59–133%) for SO2, 0.53 (−55–105%) for NOX, 0.12 (−47–93%) for NH3, 1.07 (−55–102%) for CH4, 1.85 (−43–74%) for NMVOC, 18.33 (−46–85%) for CO and 305.20 (−45–80%) for CO2, in unit of Tg yr−1. Our results are remarkably lower than those reported in previous studies, mainly because of the PCRB has decreased significantly in recent years. For most of the pollutants, indoor burning accounted for about 50–70% of the emissions. Rice, wheat and corn contributed more than 85% of the emissions, but their relative contributions varied a lot with region and season. High emissions were mostly located in the eastern China, central China and northeastern China, and temporally peaked in April, June and October, with different intensities in the north and the south. This study provides a useful basis for air quality modeling and the policy making of pollution control strategies.
•This paper presents an up-to-date and high-resolution inventory of air pollutant emissions from crop residue burning in China.•City-level activity data and high-resolution land use, fire counts and population were combined for spatial distribution.•Farming practices in different regions and statistics of fire counts were used to determine temporal distribution.•High emissions were generally located in Eastern, Central and Northeastern China, and temporally peaking in April, June and October.
PDF
