We propose an implement scheme of the weight-dependent optical spike timing dependent plasticity (STDP) based on the vertical-cavity semiconductor optical amplifiers (VCSOAs) subject to double optical spike injections, and numerically investigate the effects of the internal and external parameters of VCSOAs on the optical STDP curve by the well-known Fabry-Prot approach. Additionally, the optical weight-dependent

In the era of rapid development of information technology, the openness and sharing characteristics of network technology have changed people’s life patterns. Computer information technology not only changes people’s life patterns, but also lays a foundation for the construction of urbanized fire information. Taking the information application of computer network technology as the research object,

Most solar applications and systems can be reliably used to generate electricity and power in many homes and offices. Recently, there is an increase in many solar required systems that can be found not only in electricity generation but other applications such as solar distillation, water heating, heating of buildings, meteorology and producing solar conversion energy. Prediction of solar radiation

Customer research is one of the important aspects of understanding customer behavior patterns with business enterprises and predicate how consumer satisfaction is achieved. Customer analysis brings out various underlying information about the customer patterns with enterprises and analysis decision helps to make better marketing strategies to improve the customer lifetime and also enhance the business

The distance of devices with specific mac-address can be estimated using a Wi-Fi sensor that supports listening. Due to each Wi-Fi sensors limitation that gives different pattern data, this research conducts a Wi-Fi sensor experiment for iPhone and android smartphone to get a general linear regression model to find the distance equation. This research aims to discover the linear equation for iPhone

With the rapid development of science and technology, the application of computer vision is more and more widely, and there are great changes in all walks of life. New retail can rely on this advantage to improve the intelligent settlement of supermarket and reduce the workload of supermarket staff. In this paper, we use deep learning to train the goods that need to be settled, and identify the goods

College students are busy with their schoolwork and activities. They spend most of their spare time playing games and watching TV dramas and have little time to do physical exercise. Therefore, it is difficult for many college students to reach the standard in the physical education test, and the bodyside data is not well used. This paper uses the physical test data provided by the Physical Education

The method of circuit bridge for measuring resistance is one of the very important contents in experiment physics teaching. Taking DC bridge for example, by using LabVIEW through programming, CTL interface beautification, local variables and Property Node setting, the experiment of measuring resistance by DC bridge is simulated. In the process of development, the galvanometer current formula in the

Rate compatible modulation is a novel adaptive transmission technology that does not require channel state information feedback, can achieve rate adaptive adjustment, and smoothly approach channel capacity. However, due to the nature of incremental decoding, the decoding complexity is too high and the transmission performance is reduced under bad channel conditions. Based on the feature of the systematic

For most software systems, pair-wise combinatorial testing is highly practical and effective. This article mainly starts with the specific research status of the pair-wise covering combinatorial test and the main content of the software test, analyzes and compares the existing main implementation algorithms, and then evaluates their specific performance.

At present, the commonly used word vector methods for news text classification mostly adopt Word2Vec, Glove, Bert and other word vector models, ignoring the remote context connections of Chinese text itself. TextCNN, RNN, BiLSTM and other neural network classification models lack the extraction of important information features of the text, and the word dependence inside the text is not strong, resulting

Mountain anti-terrorism operations are an important anti-terrorism battlefield in our country. However, the complex terrain environment and harsh weather conditions in the mountainous areas cause difficulty in battlefield reconnaissance, poor communication guarantees, and difficulty in using the advantages of anti-terrorism forces in equipment, which brings great difficulties to mountain anti-terrorism

In order to improve the transmission efficiency in wireless communication and reduce the bit error rate in the transmission process, a physical-layer network coding(PNC) system with 2FSK modulation and low-density parity check(LDPC) codes as the channel coding is established, and a relay detection scheme for the system is designed. This scheme first obtains the waveform diagram of the signal in the

A novel dual-band uniform circular array (UCA) is presented to generate vortex electromagnetic waves. The proposed antenna is designed to operate in C- and X-bands with center frequency of 5.8 GHz and 10 GHz, respectively. To construct a shared-aperture structure, two UCAs operating in different frequencies are combined in a common aperture with different radius. Each UCA is composed of 8 antenna elements

In order to improve the indoor positioning accuracy and reduce the impact of a reflected light on the positioning performance, based on the analysis of the existing RSS positioning algorithm, an improved positioning algorithm based on K-means clustering is proposed. According to the indoor visible light communication system model and optical power distribution, 10*10 receiving points are uniformly

Aiming at the problem of insufficient bandwidth of transmitter and receiver of low-cost visible light communication system, this article applies novel-equalization circuits to separately expand the bandwidth of LED and transimpedance amplifier circuit to 114MHz and 95.7MHz. In addition, signal-to-noise ratio and bit error rate of the system are also analyzed by a line of sight model and the feasibility

Based on KERAS’ FASHION_MNIST data set, a convolutional neural network with serial structure and parallel structure was set up for training. The serial structure can be used for deep feature mining and the parallel structure can be used to describe the first impression. The results show that the parallel structure has better effect and faster speed for simple images.

To improve the real-time and accuracy of intelligent vehicle character recognition algorithm, this paper mainly studies a new method for license plate location and character cutting: license plate location is carried out by combining HSV color space recognition with Sobel edge detection. The outer rectangle of the outermost contour of the character is used to judge the character boundary and segment

In order to solve the problem of unknown target birth intensity in multi-target tracking, an improved GM-PHD filtering algorithm based on virtual track is proposed. According to the measurement set in the monitoring area, the virtual tracks of the birth targets are established by using the motion model of the targets. The false tracks modeled by the clutter are eliminated by PHD filter, and the states

In this paper, we exploit energy-efficiency and QoS-awareness for receiver-arbitrated and sender-predicted MAC Protocol (EQAP-MAC) in wireless sensor network. EQAP-MAC improves the transmission concurrency by separating control stream from data stream; minimizes energy consumption by sender by predicting receiver’s wake-up time; supports priority-based QoS through priority-based data flow selected

This paper discusses the performance of an improved dual-hop mixed radio frequency (RF) / free space optical (FSO) relay communication system in the present of multiple co-channel interferences (CCIs) at the relay node. Multi-user diversity(MUD) technology has been adopted to improve the RF link performance. In order to improve the performance of the FSO link, multi-aperture receiver scheme has been

Since the traditional asynchronous serial communication interface conversion system has a series of problems in data reliability, CPU utilization and so on, this paper, starting from the design idea of fieldbus, uses CAN, PROFIBUS-DP, power conversion module, core control module and other software programs to study the conversion process, so as to innovate the conversion system and realize the reliability

Aiming at the disadvantage of high availability based on node redundant, a high availability scheme based on storage devices redundant was researched and designed in large-scale cluster system with network storage devices by working on system kernel. The advantages of low-cost, low-complexity of maintenance and high-utilization of resources were received. Besides, an asynchronous prototype system of

A-star algorithm is a kind of simple path planning algorithm without solving the calculus, which has a high application. However, compared with other path planning algorithms, it occupies a large memory space. To solve this problem, this paper proposes three new concepts such as the bidirectional search, a guide line and a list of key points. A-star algorithm is optimized and rasterize on indoor environment

The Chinese art market has developed rapidly in recent years, but the problem of fuzzy and irregular art pricing has always perplexed the participants in the art market. This article proposes a new idea of dividing the influence factors of artworks according to the static and dynamic dimensions, so as to study the attributes and external factors of artworks and analyse the causes of price fluctuations

With the rapid economic development, subway-based rail transit is spreading all over the country, and efficient prediction of rail passenger flow is the key to alleviating traffic pressure. In view of the time-series characteristics of subway passenger flow data, the author uses the simulation results to show that the ARIMA model has higher accuracy and better effect in predicting the rail transit

The path planning of UAV monitoring task was used to a case study, a path optimization algorithm based on multi-objective monitoring scenario analysis for UAV was proposed. In the proposed algorithm, the UAV multi-objective task monitoring scenario was analyzed and modeled, Markov decision-making process model was established by model checking tool prism, two different sub-algorithms for MPOA_LRTP

College and department courses are broad, elegant and diversified. The demand for interdisciplinary elective courses is increasing, and the teaching management work is becoming increasingly heavy. Therefore, the administrative work of arranging and adjusting courses cannot be increased. We should carry out reform according to the actual difficulties. In the preliminary study of different educational

Relying on Internet technology and the progress of financial technology development, derived “smart tax-controlled” technology solving the shortcomings of the traditional fiscal and tax payment process, together around the national tax system reform, the paper aims at labor-intensive enterprise employee structural contradictions and risks, to help to achieve flexible employment enterprise itself during

In order to meet the requirements of multi-measurement nodes and high temperature resistance, this project draws extensive experience from relevant industries based on the relevant requirements. A bus temperature measurement system based on two-bus technology is developed. The system is based on two buses and combines OFDM technology to modulate signals on carriers with different frequencies. Through

We presented a miniaturized patch antenna with enhanced bandwidth. Reactive Impedance Surface (RIS) was introduced instead of the traditional metal floor, and bandwidth enhancement is realized by loading slotted parasitic patches. The reference antenna and the antenna 1 loaded with the parasitic patch are designed, that impedance bandwidth changed from 8.5% to 23.6%, the peak gain and the front-to-back

Based on integrated simulation technology of both marine electric propulsion system and artificial intelligence, a design of intelligent integrated simulation system of marine electric propulsion based on artificial neural network, fuzzy comprehensive evaluation and fuzzy neural network is proposed in this paper. The intelligent module mainly consists of a nonlinear simulation model, simulation evaluation

As social media becomes a major part of everyday life, analyzing language on social media is becoming a potentially fruitful approach to discover depression patients. At a time when depression is starting to be taken seriously, sentiment analysis through social media should be studied further so that people can be treated in the early stages of depression. With the intention to detect depression behavior

In order to analyze the users’ viewing behavior more accurately, allow IPTV service providers to provide better services to users, and improve the user’s viewing experience, this paper proposes a detection method of abnormal user viewing behavior based on Canopy-FCM and improved isolation forest algorithm. First, the collected viewership data is preprocessed and stored with the user viewing behavior

In the era of massive data, people are paying more and more attention to the spatio-temporal attributes of data. Many studies have begun to explore the methods of spatio-temporal analysis and apply spatio-temporal data analysis techniques to various fields. This article surveys and summarizes many previous research results. The current situation of spatio-temporal analysis is analyzed and prospected

At present, the usage of EV charging facilities is unbalanced. The accuracy of the charging station recommendation does not meet the demand. Due to the limitation of user privacy protection, charge point operators and vehicle enterprises cannot provide data to each other for joint analysis. Therefore, we proposed recommendation method of EV charge point based on federated learning. The federated factorization

This paper uses the Point of Information (POI) point of interest and population distribution feature data in Dujiangyan City as the basic data, and uses spatial analysis methods, such as nuclear density analysis, contour analysis and standard deviation ellipse, to study the correlation between the entity and virtual boundaries of Dujiangyan. The results show that the urban entity and online activity

Aiming at the problem of coherent speckle noise in SAR image processing, this paper improves the network based on the convolutional neural network method, adjusts the hierarchical relationship in the network hierarchy, and introduces the principles of batch normalization and residual network to eliminate. The gradient disappears when the network level is too deep. The loss function is improved by using

In order to estimate and predict human real-time heating demand and optimize the existing electric heating control methods, a large number of household electricity data samples are required for training. This article mainly introduces the method of obtaining data samples, and realizes the monitoring of household branch circuit information by establishing a modern remote monitoring system. The author

In the existing smart grid, wireless sensor networks are widely deployed to monitor the entire grid’s status to ensure the safe, reliable, and efficient operation of the grid. However, due to the storage mode of the infinite sensor network perception data based on the trusted central node in the smart grid, the smart grid exists information security issues such as the central node’s vulnerability to

This paper analyzes the scene of UAV executing path monitoring task in dangerous environment, and puts forward a method for UAV path selection in dangerous environment. In the proposed method, the operator mode and the agent operator mode are provided, and the model checking tool prism is used to model and verify the path selection scene of UAV. In normal environment, the UAV performs the path selection

With the rapid growth of people’s demand for communication speed and capacity, optical communication technology has developed vigorously with its advantages of high transmission rate, large capacity and low power consumption. In order to increase transmission capacity and bandwidth, multiple multiplexing technologies such as wavelength division multiplexing (WDM), time division multiplexing (TDM),

Aiming at the problem of insufficient text feature extraction in the existing short news text classification methods for identifying marketing intentions and difficulty in capturing the semantic information in the text, a short text news marketing recognition method based on the attention mechanism neural network model is proposed. The model uses convolutional neural network to extract local features

Enterprise information system is the fundamental guarantee and important means of enterprise production and management, the security of the information system is the foundation of the stable and reliable operation of the information system. In order to improve the security and anti-risk ability of the information system, it analyzes the possible risks of the information system and gives an assessment

The original X-ray image of the high voltage XLPE insulated cable has low contrast due to its complexity and the limited imaging conditions. Therefore, an X-ray image processing method is proposed to address the high voltage cable’s buffer layer defect detection. One hundred seventy-seven high-resolution images from a cable tunnel are collected. The results indicated that our method could efficiently

In order to realize the optimal scheduling and energy saving of urban water supply pipeline system, a method of flow and pressure prediction of water supply pipeline network based on genetic algorithm and BP neural network is proposed in the paper. The flow and pressure prediction models of urban water supply network are built, then tests and verifies the models by the dates obtained from the water

Domain-specific Knowledge Graph in Military Field is a bridge to connect all kinds of battle factors, such as combat forces, command system, weapon platforms. It’s also an important means to break through the information gap between different areas of different services. Most of the existing knowledge graph is general knowledge graph for general fields, but there is no mature method of knowledge graph

Based on binocular vision, this paper proposes an algorithm for fast and accurate three-dimensional measurement. The binocular 3D measurement system is mainly divided into four parts: binocular calibration, binocular correction, binocular matching and pose calculation. In this paper, an international softwareM is used to achieve camera calibration, the FAST algorithm is used to achieve the extraction

Fluctuating targets are important phenomenons that affect detection probability. Several investigations about this topic have been carried on with good results to radar capabilities improvement. However, the increasing development of stealth technology has weakened traditional surveillance systems. This work has as main objective to improve radar detection of fluctuating targets using error control

With the emergence and development of Internet finance, domestic commercial banks have begun to keep up with the trend of the times and gradually accelerate the pace of informatization. Except to some changes and adjustments made by these commercial banks, the addition of information technology is also very important. Based on previous work experience, this article summarizes the challenges brought

Unlike normalized flow of people and cross-regional transportation of goods, emergency transportation tasks have high requirements for timeliness and accuracy, which in turn places extremely high requirements on organization of transportation resources. Current paper uses modern information technologies such as online information and GIS to coordinate emergency transportation tasks. While considering

Web applications often face continuous updating due to functional change or UI renew, while it remains a challenge to guarantee their correctness. The goal of software testing is to find defects in a limited time range whereas exhaustive testing is an ideal yet time-consuming process. In this research, we propose an approach to generating test cases automatically based on the Markov reward process

In the application process of industrial Internet, network security threats and malicious attacks occur from time to time. In order to improve the ability of network perception of unknown threats and the level of network security protection, this paper proposes a network security detection method based on full flow. Through online intelligent detection of network malicious traffic, unknown threats

Aiming at the severity and distribution of abnormal behaviour, attack behaviour, compliance, and vulnerability of equipment in the power information system, this article applies big data technology to analyse and evaluate abnormal behaviour in the network, and uses machine learning to improve the network, the ability to identify security risks and the accuracy of assessments provide strong guarantees

The vibration signal of rolling bearing is complex, it is difficult to extract fault features and diagnose accurately. In this paper, a rolling bearing fault diagnosis method based on variational mode decomposition and GWO-LSSVM is proposed. The variational mode decomposition algorithm is used to decompose the bearing vibration signal, and the fuzzy entropy of each component signal is calculated. GWO

As an important link in the guarantee, military logistics is becoming a hot topic. The paper briefly describes the general situation, summarizes the characteristics of military logistics and the research significance of military logistics center. It systematically analyzes the siting model and method of military logistics center, and gives two siting models of military logistics center. According to

Due to the success of the study of bacterial flora algorithm, more and more scholars to simulate the natural biological phenomenon, and the research results are applied to the computer design, effectively solve the problem of large-scale optimization. Firstly, this paper introduces the optimization algorithm of microflora, and explains the application of fuzzy microflora optimization algorithm to the

Compared with the glass surface, the photoluminescence intensity of CsPbBr3 quantum dots excited by 1200 nm femtosecond laser on the surface of Au island fiber film (AIF) is significantly enhanced. On the other hand, the photoluminescence intensity decay of CsPbBr3 quantum dots on the AIF surface shows a fast decay of the average photoluminescence lifetime. The Photoluminescence enhancement effect

Archive information is an important information resource for the economic and social development in new district. With the construction of the new district, archive information sharing has become a major technical and application problem that needs to be tackled urgently, due to rising archive data amid project process and separated management of them. The traditional system of archives management

Due to the continuous upgrading and optimization of fishing technology and tools, and the diversification of fishing vessel operation methods, marine fishery resources are continuously depleted. Precise prediction of the operation methods of marine fishing vessels is helpful to realize effective supervision of fishing behavior of fishing vessels. In order to improve the prediction accuracy, when doing