During the operation of the low altitude radar platform, the test of electromagnetic environment from the surface is becoming more and more severe, which has directly affected the various performance of radar detection. The land clutter is not only an important component of the radar electromagnetic environment, but also an important feature of the radar electromagnetic environment, therefore, it is necessary to measure and analyze the characteristics of the land clutter. In this paper, a small unmanned aerial vehicle (UAV) is used as a carrier to carry a certain type of pseudorandom code continuous wave radar for land clutter measurement, the clutter characteristics of the measured terrain are analyzed according to the amplitude distribution, temporal correlation and spatial correlation of land clutter, so as to get the statistical feature of the land clutter under different measurement conditions.
This paper focused on the relationship between the orientation of an apartment and its property value. Firstly, we used Hedonic model to decompose the characteristic prices of an apartment, and adopted FGLS to estimate the regression parameters to avoid the adverse consequences caused by heteroscedasticity phenomenon. The empirical result shows that the orientation is not the key factor in the demander’s purchase process. Secondly, in the same community, we selected samples facing south and non-south as a test group and a control group. Through paired regression analysis, we find that in Chongqing’s second-hand housing market, compared to the apartment having no south-facing orientation, those with it on average are valued only 1.42% .It is suggested that the evaluation practice should pay more attention to the orientation characteristics and measure orientation value according to local conditions.
In the virtual switching of multi-tenant network under private cloud, the traffic load in peak period is too large to ensure the balance and bandwidth quality of service, while in the low period, the traffic load is too low to waste computing resources. Based on the current SDN, using Openflow to send traffic table to the data plane to realize dispatching and classifying the data flow according to the granularity of the data flow, and considering the factors such as QoS and resource utilization. This paper studies the hybrid scheduling strategy and priority based dynamic scheduling strategy to ensure the load balance and service quality in the peak period, in the low period, the utilization and throughput of computing resources are maintained.
The paper studies the dialogic features of the tongueless of Friday in Foe as a non-westerner in postmodern and postcolonial context from Bakhtinian dialogism to expose hegemony in Robinson Crusoe. The real cause of silence of Friday originated from colonial writing and western discourse instead of his body. Otherwise, only the body as an existence can disclose and speak.
How to choose the right supplier from many cloud service providers has become a research hotspot. Basing on real-time data, we propose a method for evaluating and choosing the supplier of Machine Tool. Firstly, we establish the index evaluation system of Machine Tool’s performance. Secondly, we apply analytic hierarchy process (AHP) and entropy method to determine the weights of performance indexes. We obtain the performance assessment by the weights. Thirdly, taking the cost into consideration, we calculate the comprehensive assessment score. Finally, we take two service suppliers as example, and draw a conclusion that the service capability of supplier 2 is better than that of supplier 1. The assessment method proposed in this paper provides a reference for matching the service provider and the service demander.
Under the new economic situation, China's industrial structure was in a period of adjustment and transformation. This paper investigated the current status of the industrial economy and industrial structure of Liudong New Area, and derived the problems of traditional automobile industry transformation, emerging industry cultivation, and service industry optimization, which need to be resolved. Finally, the development strategies such as the extension of the automobile industry chain, driving related emerging industries, optimizing the ecological environments of funds-talents-technology were proposed, also adopting the "governmentResearch-Enterprise linkage" working model to promote the industrial transformation of the "trillion-city action plan".
Based on the data of Guangdong furniture export from 2009 to 2019, this paper analyzes the amount, structure and market of Guangdong furniture export. It is found that Guangdong Province, as a major furniture export province in China, its export growth rate is slowing down, the export structure is unreasonable, and the export market is too concentrated. However, trade barriers, lack of famous furniture brands and imperfect policies are the main factors that restrict its export. Therefore, it is an inevitable choice for the sustainable development of furniture export in Guangdong Province to improve the environmental protection level of products, create famous brands and improve relevant policies.
In order to improve timeliness and pertinence of meteorological service for agriculture, after years of confirmed research into Intelligence service, an intelligent mobile phone application was designed and developed. We demonstrate the construction of forward-error correction. It is a practical intelligent service platform for agriculture meteorological.
Recently, correlation filter is widely used in visual tracking for its robust and accuracy. However, it is still a challenge in tracking with complex situations such as target blurring, occlusion, and scale variation. In this paper, a correlation filter-based tracker with resampling-detection and scale estimation is proposed. We use multiple features with adaptive fusion to describe the target appearance, and resampling-detection module will be performed on the frame which tracking confidence determined by PSR is lower than a threshold. Besides, scale pyramid is introduced to estimate the scale. The extensive experimental evaluates on the OTB benchmark and results show that our approach outperforms the baseline trackers and has excellent performance in accuracy and robust, especially on the challenge of fast motion and motion blur. Additionally, our approach is computationally efficient and suitable for real-time applications.
Considering the differences of fault characteristics in the process of fault diagnosis, loss and false positives of protection and circuit breaker information, power grid fault diagnosis method based on integrated fault degree is proposed. Firstly , this method uses wavelet transform to analyze the amplitude characteristics and energy characteristics in the electrical quantity information on the fault recording data, and extracts the key indicators; Then, according to the binary information from remote communication system, directed bipartite graph is used to update fault symptoms, determine the fault boundary, and to calculate suspected degree; finally, integrated fault degree is determined by the improved D-S evidence theory, and final fault diagnosis result is determined by improved support vector machine method. Simulation results show that the proposed scheme improves the accuracy of diagnosis, and has good application prospects.
The adversarial samples can cause the convolutional neural network model to output incorrect results. It is proposed to paste the generated adversarial sample patch on the roof of the transport vehicle to prevent aerial identification of the drone and achieve the attack on the target detection system. By producing aerial transport vehicle datasets, a YOLOv2-based target detection model is trained in the Pytorch deep learning framework, and the adversarial patch is trained by the GAN (Generative Adversarial Networks) called adversarial-yolo that can make the target detection failed. After simulation and comparison, the transport vehicle with a small adversarial patch can successfully and stably attack the target detection model, making it unable to detect the target, and the operation is flexible. The research can provide a certain reference value for the defense and camouflage methods of important ground targets against unmanned aerial intelligent detection devices.
Building model base and sharing model effectively can accelerate the process of 3D new design and scene reconstruction, and reduce the cost of modeling has important engineering value. Based on the analysis of the functional requirements and architecture design of the three-dimensional model database of substation, this paper puts forward the storage information attributes and coding rules of the three-dimensional model database of substation typical equipment, and creates the three-dimensional model database of substation equipment based on access. The three-dimensional model database of substation includes model management and maintenance module, human-computer interaction module, which realizes the storage, storage, query and other functions of three-dimensional model of substation. The research results can provide reference for the construction of three-dimensional model base of substation equipment.
Data attributed data, privacy attributed privacy. At present, big data development now going all walks of life, in order to better carry out medical research and so on, the medical industry select development of healthcare big data, but the data are still some big problems in terms of security: user privacy information disclosure and other. This paper proposes a new way of thinking: data separation storage method, by the user's information data into information data block medical data and personal information data blocks, try a way to solve the existing problem of private data leakage, and study the practical application ability of medical big data based on this data separation storage method.
At present, a large number of electric power enterprises use the enterprise resource planning system to carry out fine management of enterprises, and the application of information systems effectively improves the standardization and standardization of enterprise management, which is conducive to the overall advantage of the enterprise. In the management of the material procurement plan, the review of the material procurement plan is a complex and important task. Each batch must be reviewed on a case-by-case basis in accordance with the requirements of the State Grid Corporation of China and the provincial company, and the material information is numerous and complex. This article gives the specific content of the rule base in the intelligent review of the material procurement plan, including the establishment of the review point rule base, the establishment of the review strategy association table and the expert database, and the time accuracy evaluation method. The rule base provides an accurate and easy-to-operate information platform for review experts and managers who participate in the review of the material procurement plan, making the original heavy manual review method and tedious and time-consuming statistical work a history, eliminating the need for centralized review arrangements. By recording the relevant data of the entire process of the review process of the material procurement plan, the information generated by the review process can be managed in time, providing data guarantee for subsequent retrospective query statistics. By accumulating a large amount of valuable data in long-term use, company managers can analyze these data to analyze the procurement requirements plan and the implementation of subsequent procurement plans in the entire process of material procurement plan review, which is conducive to discovering itself Problems.
Building energy consumption data plays an important role in building energy analysis and energy saving optimization. However, due to difficulties in collecting, high cost, equipment failure and other reasons, the collected data are prone to be missing, which hinders the mining and analysis of building energy consumption data. In this paper, the Bayesian network is used to check and recover the building energy consumption data. In the case that the amount of time series data missing is less than 50%, the method G-test is selected to identify abnormal data, and the Naive Bayesian optimizing Expected Maximum Algorithm is used to check the data. When a large number of building energy consumption data missing, the Sparse Bayesian learning algorithm is used to fill in the missing data based on the compressed sensing theory. The results show that the model can effectively deal with the problem of missing data of building energy consumption and can be widely used in practical projects.
Finance and data visualization are inseparable, and its processes are data acquisition, data analysis, and data generation. Data acquisition is data acquisition through crawlers and other methods or open interfaces of financial data; the process of data analysis is mainly to select relevant financial models for data processing; data generation is data visualization. The visualization of financial data externalizes the analysis process of financial data, and displays complex and large data groups in the form of charts to further discover the value of the data.
In large-scale combat simulations, operational entities appear in groups. These groups have the overall unity of action and the monomers have the characteristics of independent action in a certain extent. In this paper, we focus on a rapid group rendering method based on Smooth Particle Hydrodynamics (SPH). This method uses the two attributes of discrete monomer and continuous fluid to represent individuals and groups, proposes an autonomous behavior model for each monomer in the group, and studies task-based monomer behavior planning algorithms. On the basis of continuous dynamics, bi-directional distance variation constraints are introduced to accelerate population mapping. The simulation results show that the scheme can effectively improve the drawing speed of the group target.
With the promotion of information technology, the Internet has been integrated into the education industry, which has profoundly changed both the teaching methods of teachers and the learning methods of students. On the basis of analyzing the current informational teaching mode of professional courses in higher vocational colleges in the context of "Internet +" era, this paper makes an analysis on making full use of modern information means from two angles, teachers and students. Based on the analysis of the author's teaching practice, this paper summarizes the experience through preliminary practice and its application, extracts the soul of reform and innovation through case law, and lays a foundation for cultivating a new generation of high-skilled and innovative talents.
To explore the influence of calibration position on digital image correlation measurement of dual cameras in engineering application, an experimental method of displacement stepping for digital image correlation measurement of dual cameras under different calibration locations is designed. Through precise displacement stepping of samples, the results of digital image correlation measurement and dial gauge measurement are compared. The influence of different calibration locations on the measurement results of digital image correlation method with dual cameras is analyzed. The results show that when the calibration position and collection conditions are unified, there will be no large displacement measurement error, and the discreteness of repeated measurement results is relatively small. The calibration position has more influence on the measurement of ordinary glass in the measuring optical path than that of quartz glass. The relative error caused by calibration position is relatively large for small displacement measurement and relatively small for large displacement measurement
As an important part of the Energy Internet, distributed storage energy needs to consider the comprehensive effectiveness of control flow and information flow. This article introduces that the information flow is from the energy distributed energy storage control point to the intercommunion point, and then to the energy distributed energy storage control point. On the basis of the flow-distributed energy storage control flow coupling model, the Bayesian conditional probability network theory is used to give the Energy Internet distributed energy storage controllability measurement under the condition of intercommunion interruption. This paper detects the impact of information transmission on distributed energy storage reliability by setting up an interrupt signal during information transmission. This modal is of great significance for the control of distributed energy storage.
