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Abstract: Peach trees are widely cultivated in China. With the improvement of people's living standards, the requirements for the quality of peaches are constantly improving. The occurrence of peach leaf diseases has seriously affected the yield and quality of peach fruits. The production of high-quality peach fruit requires the necessary management of peach leaf diseases. The traditional identification method of diseased leaves is manual identification, which is subjective and difficult. This paper proposes a method of peach leaf disease detection using Anaconda+Python+Pycharm software and YOLOv5 model after adding attention mechanism CBAM, and develops a GUI interface recognition system for users to operate. The software design interface mainly includes login interface, registration interface and main detection interface. Fruit growers can import the collected peach leaf disease pictures into the recognition system, and then check the selection weight module of the main interface in this software to select the appropriate weight. Then initialize the model, and automatically compare it with the data set types of five leaf diseases including peach leaf shrinkage disease, bacterial perforation disease, yellow leaf disease, brown spot perforation disease and anthrax in this system through the picture detection module, so as to obtain the type of peach leaf disease, and provide corresponding prevention and control suggestions according to the type of leaf disease. The development of this system has improved the identification accuracy of peach leaf diseases by 2.15%. IOU increased by 3.02% to 82.37%. It reduces the misdiagnosis rate of fruit growers, increases the recognition accuracy of peach leaf disease, takes correct control measures, reduces the harm of leaf disease, and improves the income of fruit growers.Abstract: Peach trees are widely cultivated in China. With the improvement of people's living standards, the requirements for the quality of peaches are constantly improving. The occurrence of peach leaf diseases has seriously affected the yield and quality of peach fruits. The production of high-quality peach fruit requires the necessary management of peach...Learn More
Abstract: Population aging is an inevitable trend of global population development and a worldwide problem. It is also a new normal facing China's social development. The elderly health problem cannot be ignored. In recent years, with the increasing elderly population, the problem of the elderly taking medicine on time gradually emerged. At present, there are few types of smart medical boxes available on the market, and all of them have some unsolvable problems. After investigation, most elderly people will suffer from multiple diseases and take multiple medications. As older people age, memory decline can lead to problems such as not taking medication on time, forgetting to take medication, taking the wrong medication, not being able to get medication quickly in an emergency, and not having medication stored out of date to be attended to. Aiming at the problems of elderly people not taking medicine on time, forgetting to take medicine, taking wrong drugs, drug quality, and the use and preservation of smart medicine box, we designed a smart medicine box with STM32 as the main control chip to assist elderly people to take medicine. The design of the intelligent medicine cabinet takes STM32F103RCT6 as the hardware core, and adds voice reminder module, GPS Beidou positioning module, temperature and humidity detection module, pressure sensing module and so on. The switch of the medicine box is controlled by the output level of the photosensitive sensor inside the photosensitive box. The temperature and humidity inside the medicine cabinet are collected in real time by using the temperature and humidity composite sensor and timing reminder setting. The functions of reminding the elderly to take medicine on time, detecting the temperature and humidity inside the medicine cabinet, information collection and drug classification are realized. Therefore, the intelligent medicine box designed in this paper can realize a variety of functions, such as timely intelligent voice reminding to take medicine, automatically opening the medicine box and monitoring whether the medicine has been taken, monitoring whether the environment of the medicine box is suitable, and drug classification. It provides great convenience for empty nest elderly living alone who need to take medication for a long time, and better serves the elderly.Abstract: Population aging is an inevitable trend of global population development and a worldwide problem. It is also a new normal facing China's social development. The elderly health problem cannot be ignored. In recent years, with the increasing elderly population, the problem of the elderly taking medicine on time gradually emerged. At present, there ar...Learn More
Abstract: This paper mainly analyzes and studies the impulse consensus of nonlinear time-delay multi-agent systems under communication constraints. Firstly, considering the inherent attribute of the actuator -- each agent communication channel is finite, the control protocol design considers the global input saturation constraint and introduces the general case that the upper and lower bounds of saturation constraint are ±1. Secondly, due to the complexity of the real communication environment, it is often difficult for the agent to ensure real-time and continuous communication in the communication process, so this paper mainly considers the impulse control method in the discontinuous control. In addition, when the communication environment of the agent is complex, time delay is also a common phenomenon, so the nonlinear system with time delay is studied in this paper. Based on Lyapunov theory, convex hull theory and other theoretical methods, the sufficient conditions to ensure the lead-following consensus of multi-agent systems are given in view of the above saturated constraints. Finally, the correctness and effectiveness of the proposed method are verified by a simulation example.Abstract: This paper mainly analyzes and studies the impulse consensus of nonlinear time-delay multi-agent systems under communication constraints. Firstly, considering the inherent attribute of the actuator -- each agent communication channel is finite, the control protocol design considers the global input saturation constraint and introduces the general c...Learn More
Abstract: As the decision-making data collection module of intelligent vehicle, the perception system has a significant impact on the vehicle planning and control strategy. This paper analyzes the significant factors (rainfall, visibility and light intensity) of external natural conditions on the vehicle perception system, and forms the evaluation rules for the controllable technology of simulation environment and the controllable technology of real vehicle field test environment. In combination with relevant national standards and technical capacity reserves of the supplier, the rainfall simulation system covering light rain, moderate rain, heavy rain, heavy rain and heavy rain will be built; Build a fog fall simulation system covering a minimum visibility of 15-2000 meters; And build a four-gear adjustable natural lighting simulation system, so that the test site has the ability of all-weather, uninterrupted and controllable environmental testing. Based on the key functional testing research system of typical working conditions, the test case development and test of the intelligent vehicle perception system are carried out through the environment-controlled test technology. The test statistics show that the environment controllable test technology can effectively cover typical test scenarios, and can promote the realization of the highly automatic driving phase of intelligent vehicles.Abstract: As the decision-making data collection module of intelligent vehicle, the perception system has a significant impact on the vehicle planning and control strategy. This paper analyzes the significant factors (rainfall, visibility and light intensity) of external natural conditions on the vehicle perception system, and forms the evaluation rules for ...Learn More
Abstract: With the rapid development of society, all walks of life are more pursuing efficiency and safety, so is the development of automobiles. When driving a car, there are many subjective factors, there will be a lot of visual blind areas and road information, which is easy to cause safety accidents and traffic congestion. Nowadays, with the gradual promotion of autonomous driving, C-V2X (Cellular Vehicle-to everything) technology can well realize the interconnection between cars and cars and between cars and transportation facilities, which can not only warn drivers of dangers in advance, but also help promote the development of autonomous vehicles. This paper first describes the concept of c-v2x and the related equipment of the network. Combining the development technology of the network owner of the network, the DSRC vehicle USES communication technology to compare the communication technology of the c-v2x car, and the advantages of the communication technology of the c-v2x vehicle are present. By comparing the development of c-v2x in Europe, the United States, South Korea, Japan and China, it is a sign that China has been a late, but late, in the city of wuxi, the first urban demonstration site in the world's first real open transport environment. This paper also selects the corresponding communication ability of communication equipment in different situations, and concludes that the relevant conclusions will promote the development of the network.Abstract: With the rapid development of society, all walks of life are more pursuing efficiency and safety, so is the development of automobiles. When driving a car, there are many subjective factors, there will be a lot of visual blind areas and road information, which is easy to cause safety accidents and traffic congestion. Nowadays, with the gradual prom...Learn More
Abstract: As one of the most common and critical tasks in natural language processing (NLP), similarity calculation has a wide range of applications in fields such as censorship detection and information retrieval. In order to improve the accuracy of text similarity calculation, based on the in-depth analysis of traditional LCS algorithms, this paper proposes an extended LCS algorithm based on word separation and synonym matching. The algorithm combines the new achievements in natural language processing research, and addresses the problems that LCS cannot screen the common means of plagiarism and nesting when used for text similarity comparison, as well as the high time complexity and weak performance of the backtracking algorithm used in solving the longest common subsequence, and realizes the matching of synonyms between sequences by calculating the similarity between words through synonym word forest on the basis of word separation. It achieves the screening of plagiarism and copying means such as synonym substitution to the original text. At the same time, the algorithm improves the traditional algorithm for solving LCS subsequences by recording the associated positions of the characters of the longest common subsequence in each sequence and appropriately increasing the spatial complexity to realize the chain marking of common sequences. The experimental results show that the LCS extension algorithm proposed in this paper can accurately identify the substitution of synonyms in the text, and the calculation result of text similarity is more accurate, while the time complexity of solving the LCS subsequence is reduced from O(2max(m,n)) to linear level O(n).Abstract: As one of the most common and critical tasks in natural language processing (NLP), similarity calculation has a wide range of applications in fields such as censorship detection and information retrieval. In order to improve the accuracy of text similarity calculation, based on the in-depth analysis of traditional LCS algorithms, this paper propose...Learn More
