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With the continuous advancement of China's supply-side structural reform, the country's energy consumption structure has undergone considerable changes, including an overall reduction in fossil energy use and a rapid increase in clean energy application. In the context of China's coal overcapacity, port and rail capacities are difficult to change in the short term. This study forecasts the monthly coal traffic of Daqin Railway on the basis of the seasonal autoregressive integrateddoi:10.1155/2020/1276305 fatcat:ox7ebp377ncrdo7u3oarluld74
more »... Markov model and then uses the monthly coal transport data of this railway from September 2009 to November 2019 as samples for model training and verification. Coal traffic from December 2019 to September 2020 is accurately predicted. This study also analyzes the effects of China's industrial structure adjustment, clean energy utilization, and low-carbon usage on the coal transport volume of Daqin Railway. In addition, the characteristics of seasonal fluctuation and the development trend of Daqin Railway's coal traffic are explored. This study provides a reference for adjusting the train operation chart of Daqin Railway's coal transport and developing a special coal train operation plan. It can determine the time of coal transport peak warning, improve the efficiency of coal transport management, and eventually realize a reasonable allocation of resources for Daqin Railway.
Hand drawing is an indispensable professional skill in the fields of environmental design, industrial design, architectural engineering, civil engineering, and other engineering design education. Students usually imitate masterpieces to practice basic skills, which is an important link for a beginner. A system for digital management requires a function for an automatic recommendation task of different brushwork skill expressions. Thus, the classification method for brushwork is to combinedoi:10.1155/2020/8845932 fatcat:adb6vb4nijdu5nmngns6jjvu4y
more »... rafted features generated by DCNN and then use the final features for input to a tree structure classification scheme. The method improvement of the other deep learning models has effectiveness in distinguishing art ontology attributes.
With the innovation and development of network technology, people's various needs are gradually increasing. Among various multimedia, music has different characteristics from other forms of multimedia. Music can contain many human emotions, and humans can express some shallow and deep emotions through music. Therefore, the study of music emotion in the context of the Internet is an area where the public is relatively concerned. In the context of new media on the Internet, based on the currentdoi:10.1155/2020/8870886 fatcat:3vgkkd6qszbqplzysdksgtwize
more »... sic emotion model, this paper establishes a different music emotion model from the past through clear research and analysis. From music characteristics, some relative vector quantities are extracted to build samples, and the samples are screened on the basis of network media technology to build a musical emotion model. The experimental simulation results show that the music emotion model based on the blockchain network environment established in this paper has high applicability and efficiency.
In order to improve the training level of Sanda movement, this article uses an image analysis method to reconstruct the detailed characteristics of the movement and apply them to the actual training process. Since the traditional wavelet reconstruction method is affected by the accuracy of the decomposition scale, this paper proposes an improved method of Sanda action based on 3D image reconstruction. First, the method relies on frame adjacent phase compensation and digital image stabilizationdoi:10.1155/2021/6668612 fatcat:5ar2epy6yvcthjrg5owtbbs3fi
more »... echniques to perform digital frame operations on the image. Then, scanning and corner detection are used for image reconstruction, where adjacent phase compensation methods are used to match feature points and gray pixels. Image extraction is performed by extracting key feature points of the action 3D image, and a fast frame detection method is used to stabilize the image of the digital image, thereby improving the image quality of image reconstruction. The experimental results show that the method has good image output effect and has a high application value in Sanda guidance and optimization.
brassinosteroid receptor MtBRI1 in Medicago truncatula Received: 25 January 2017 Xiaofei Cheng1, Xiaoping Gou2, Hongju ... Xiaofei Cheng and Xiaoping Gou contributed equally to this work. Correspondence and requests for materials should be addressed to J.L. ...doi:10.1038/s41598-017-09297-9 pmid:28839160 pmcid:PMC5570916 fatcat:euvgvm2fr5bjlhdioogiavxcla
Roy, “Static channel assignment in multi-radio multi-channel 802.11 wireless Hongju Cheng received the B.E. and mesh networks: issues, metrics and algorithms,” in ... Hongju Cheng, Fuzhou University, is to minimize the total interference by diversifying China, email address: firstname.lastname@example.org. © 2010 ACADEMY PUBLISHER doi:10.4304/jcm.5.1.63-70 64 ...doi:10.4304/jcm.5.1.63-70 fatcat:3yq5h5cij5g2fev6taliwurxni
Under the background of mass entrepreneurship, academic entrepreneurship activities in universities are booming. DEA model is used to analyze the input-output data of academic entrepreneurship in colleges and universities in 2012 and 2016. According to the validity of the input-output data of academic entrepreneurship in different regions, the differences in efficiency between regions are compared and the reasons are analyzed. The research shows that the economic service function of collegesdoi:10.1155/2020/8825318 fatcat:xymwecko7jdhrnjtn32kbbehtu
more »... universities to regional economic and social development is becoming increasingly prominent, resulting in a certain scale effect; the overall development of academic entrepreneurship efficiency, pure technical efficiency, and scale of colleges and universities in various regions is good, showing an upward trend; academic entrepreneurship activities of colleges and universities in different regions show different development trends. The scale efficiency of each region is at a higher level, but we should also actively pay attention to the utilization efficiency of academic entrepreneurship resources in colleges and universities, improve the allocation of resources, and prevent excessive investment in human and financial resources to produce redundancy, so as to achieve scale expansion while improving efficiency.
Broadcasting is a common and basic operation used to support various network protocols in wireless networks. To achieve energy-efficient broadcasting is especially important for ad hoc wireless sensor networks because sensors are generally powered by batteries with limited lifetimes. Energy consumption for broadcast operations can be reduced by minimizing the number of relay nodes based on the observation that data transmission processes consume more energy than data reception processes in thedoi:10.3390/s130404922 pmid:23584121 pmcid:PMC3673119 fatcat:44xtfrg6lzdyznwxcuyi3n76ne
more »... ensor nodes, and how to improve the network lifetime is always an interesting issue in sensor network research. The minimum-energy broadcast problem is then equivalent to the problem of finding the minimum Connected Dominating Set (CDS) for a connected graph that is proved NP-complete. In this paper, we introduce an Efficient Minimum CDS algorithm (EMCDS) with help of a proposed ordered sequence list. EMCDS does not concern itself with node energy and broadcast operations might fail if relay nodes are out of energy. Next we have proposed a Minimum Energy-consumption Broadcast Scheme (MEBS) with a modified version of EMCDS, and aimed at providing an efficient scheduling scheme with maximized network lifetime. The simulation results show that the proposed EMCDS algorithm can find smaller CDS compared with related works, and the MEBS can help to increase the network lifetime by efficiently balancing energy among nodes in the networks.
and v differ exactly in one bit on the r-th bit or on the last bit (ii) if r ∈ I t , then u 0 = v 0 = 1 (iii) r ∈ I s+t − I t , then u 0 = v 0 = 0: The generalized exchange hypercube was proposed by Cheng ...doi:10.1155/2020/9793082 fatcat:f2bx4a65gvckha74t65uyjyjwi
With the development and popularization of e-commerce and Internet, more and more attention has been paid to personalized recommendation for users. The traditional user interest model only considers the user's behavior on the project, ignoring the user's context at that time. Pointing to the shortage that context-related factors are not considered in previous works, combining the characteristics of a mobile computing environment, this paper studies the algorithm and model of mobile servicedoi:10.1155/2020/8857576 fatcat:iyp3gx5ynrahbbfa6jqt5ijo4a
more »... mendation. A recommendation algorithm based on specified context filtering in mobile computing environment is proposed. The context of the classification is aggregated, by grouping the scenarios of the same category together. Through experiments, we found that the improved personalized recommendation algorithms are superior to the common collaborative filtering algorithm.
With the advance of optimization and merger colleges and universities, a university often contains more than one campus. The traditional centralized education management system has been unable to meet the needs of use. The model detects the intrusion by dividing the clusters in the clustering result into normal clusters and abnormal clusters and analyzing the weighted average density of object x to be detected in each cluster and the weighted overlapping distance of x and each centre point. Wedoi:10.1155/2020/8819083 fatcat:7cezhk7wmvdktdcukapoix2lau
more »... erified the intrusion detection performance of the model on the KDD Cup 99 dataset. The experimental results show that the model established in this paper has certain theoretical value.
Aimed at the shortcomings of the current sports video image segmentation methods, such as rough image segmentation results and high spatial distortion rate, a sports video image segmentation method based on a fuzzy clustering algorithm is proposed. The second-order fuzzy attribute with normal distribution and gravity value is established by using the time-domain difference image, and the membership function of the fuzzy attribute is given; then, the time-domain difference image is fuzzydoi:10.1155/2021/6630130 fatcat:eyeo75zesjfjhgey6tnkediae4
more »... d, and the motion video image segmentation result is obtained by edge detection. Experimental results show that this method has high spatial accuracy, good noise iteration performance, and low spatial distortion rate and can accurately segment complex moving video images and obtain high-definition images. The application of this video image analysis method will help master the rules of sports technology and the characteristics of healthy people's sports skills through video image analysis and help improve physical education, national fitness level, and competitive sports level.
Based on the distributed homomorphic cryptosystem of  , Cheng et al.  also employed a two-cloud architecture to support range queries under multiple encrypted domains. ...doi:10.1109/access.2019.2949782 fatcat:ternbyhqezgd5cvhtfqfggqdqq
In order to improve the efficiency of customization and reduce the cost of customization under Big data environment, this paper uses cost-sharing contract, pricing mechanism, Hotelling model, and game theory tools and research methods, for C2B Electronic Commerce (e-commerce) mode of Supply Chain Pricing Strategy for in-depth discussion. This paper first gives the architecture of the customization service system based on big data. The paper studies the game equilibrium of supply chain membersdoi:10.1155/2021/6626480 fatcat:pibat5bstnf7pmwee54r7ffjnq
more »... der four scenarios: centralized decision-making, decentralized decision-making, C2B-dominated decision-making, and traditional enterprise-dominated decision-making in a supply chain composed of a supplier and C2B e-commerce enterprises with horizontal price competition, and examines the cross-price. Important parameters such as impact coefficient, impact coefficient of effort degree of personalized customization, and so on have an impact on variables such as effort degree of personalized customization, retail price, and profit of supply chain members of C2B e-commerce enterprises. Research shows that with the increase of cross-price impact coefficient, C2B e-commerce will enhance its personalized customization efforts in different situations in order to pursue higher profits.
Due to the similarity and correlation among sensed data in wireless sensor network, it is an important way to reduce the number of packets transmitted with data aggregation technology so as to prolong the network lifetime. However, data aggregation is still a challenging issue since quality-of-service, such as end-to-end delay, is generally considered as a severe criterion required in many applications. We focus on the minimum-latency data aggregation problem and proposed a new efficient schemedoi:10.1155/2013/502381 fatcat:d6k4j6mffraotamo6nnqlmbz4a
more »... for it. The basic idea is that we first build an aggregation tree by ordering nodes into layers, and then we proposed a scheduling algorithm on the basis of the aggregation tree to determine the transmission time slots for all nodes in the network with collision avoiding. We have proved that the upper bound for data aggregation with our proposed scheme is bounded by(15R+Δ-15)for wireless sensor networks in two-dimensional space. Extensive simulation results have demonstrated that the proposed scheme has better practical performance compared with related works.
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