By analyzing the internal features of counting sorting algorithm. Two improvements of counting sorting algorithms are proposed, which have a wide range of applications and better efficiency than the original counting ...By analyzing the internal features of counting sorting algorithm. Two improvements of counting sorting algorithms are proposed, which have a wide range of applications and better efficiency than the original counting sort while maintaining the original stability. Compared with the original counting sort, it has a wider scope of application and better time and space efficiency. In addition, the accuracy of the above conclusions can be proved by a large amount of experimental data.展开更多
A forecasting system of patent application counts is studied in this paper. The optimization model proposed in the research is based on support vector machines （SVM）, in which cross-validation algorithm is used for ...A forecasting system of patent application counts is studied in this paper. The optimization model proposed in the research is based on support vector machines （SVM）, in which cross-validation algorithm is used for preferences selection. Results of data simulation show that the proposed method has higher forecasting precision power and stronger generalization ability than BP neural network and RBF neural network. In addi- tion, it is feasible and effective in forecasting patent application counts.展开更多
This paper presents two one-pass algorithms for dynamically computing frequency counts in sliding window over a data stream-computing frequency counts exceeding user-specified threshold ε. The first algorithm constru...This paper presents two one-pass algorithms for dynamically computing frequency counts in sliding window over a data stream-computing frequency counts exceeding user-specified threshold ε. The first algorithm constructs subwindows and deletes expired sub-windows periodically in sliding window, and each sub-window maintains a summary data structure. The first algorithm outputs at most 1/ε ＋ 1 elements for frequency queries over the most recent N elements. The second algorithm adapts multiple levels method to deal with data stream. Once the sketch of the most recent N elements has been constructed, the second algorithm can provides the answers to the frequency queries over the most recent n （ n≤N） elements. The second algorithm outputs at most 1/ε ＋ 2 elements. The analytical and experimental results show that our algorithms are accurate and effective.展开更多
相位细分技术是提高精密仪器测量分辨率和精度的关键技术。传统的机械、光学等细分技术已难以满足当前高精度测量领域的需求。基于坐标旋转数字计算(Coordinate Rotation Digital Computer,CORDIC)方法的角度计算原理,将输入的正交信号...相位细分技术是提高精密仪器测量分辨率和精度的关键技术。传统的机械、光学等细分技术已难以满足当前高精度测量领域的需求。基于坐标旋转数字计算(Coordinate Rotation Digital Computer,CORDIC)方法的角度计算原理,将输入的正交信号转换为向量(x,y),通过多次旋转迭代使向量最终收敛于X轴,对旋转角度进行求和即可得到目标角度值。基于FPGA用Verilog语言编写CORDIC算法,可以实现相位细分、信号辨向和整周期计数功能,通过扩展数据位宽消除了算法迭代过程中产生的舍入误差。对改进算法进行了仿真与实验验证,结果表明经过20级迭代后其理论分辨率为0.4″,计算角度的误差为±0.5″,光栅测角系统实际测量误差减小了约98.42%。该算法通过对正交信号进行精密细分来计算精密仪器的相角变化量,在工程应用中具有普适性。展开更多
In this article, the error analysis in the quantum counting algorithm is investigated. It has been found that the random error plays as important a role as the systematic error does in the phase inversion operations. ...In this article, the error analysis in the quantum counting algorithm is investigated. It has been found that the random error plays as important a role as the systematic error does in the phase inversion operations. Both systematic and random errors are important in the Hadamard transformation. This is quite different from the Grover algorithm and the Shor algorithm.展开更多
Quantitative counting of fry is required for multiple reasons,including breeding,transportation,and sales and creating a fish-counting algorithm using image processing technology is proposed as a useful method.The ima...Quantitative counting of fry is required for multiple reasons,including breeding,transportation,and sales and creating a fish-counting algorithm using image processing technology is proposed as a useful method.The images for fish fry were preprocessed to extract the details of the target fish,using methods including binarization,dilation,and erosion.The thinning and the connected area algorithms were then independently adopted to count the fish fry within the image.The advantages and the disadvantages of the two algorithms under different densities were also compared,revealing that the fish fry pictures with a clear contrast between the foreground and background resulted in a higher accuracy.The main purpose of this research is to solve the problem of fry counting in the case of high density and high overlap.This research provides a reference point for this method based on image technology.展开更多
The deployment of intelligent surveillance systems to monitor tomato plant growth poses substantial challenges due to the dynamic nature of disease patterns and the complexity of environmental conditions such as backg...The deployment of intelligent surveillance systems to monitor tomato plant growth poses substantial challenges due to the dynamic nature of disease patterns and the complexity of environmental conditions such as background and lighting.In this study,an integrated cascade framework that synergizes detectors and trackers was introduced for the simultaneous identification of tomato leaf diseases and fruit counting.We applied an autonomous robot with smartphone camera to collect images for leaf disease and fruits in greenhouses.展开更多
The decoding algorithms of two-dimensional Vernier anodes are deduced theoretically.The precision of decoding and uniqueness of encoding are proved.The influencing factors of detection sensitivity and spatial resoluti...The decoding algorithms of two-dimensional Vernier anodes are deduced theoretically.The precision of decoding and uniqueness of encoding are proved.The influencing factors of detection sensitivity and spatial resolution are discussed.The single photon imaging system is constructed,and the two-dimensional Vernier collector is fabricated.The image of the ultra-weak emission source is reconstructed.The spatial resolution of the system is about 100μm.展开更多
文摘By analyzing the internal features of counting sorting algorithm. Two improvements of counting sorting algorithms are proposed, which have a wide range of applications and better efficiency than the original counting sort while maintaining the original stability. Compared with the original counting sort, it has a wider scope of application and better time and space efficiency. In addition, the accuracy of the above conclusions can be proved by a large amount of experimental data.
基金Sponsored by "985" Philosophy and Social Science Innovation Base of the Ministry of Education of China (107008200400024)
文摘A forecasting system of patent application counts is studied in this paper. The optimization model proposed in the research is based on support vector machines （SVM）, in which cross-validation algorithm is used for preferences selection. Results of data simulation show that the proposed method has higher forecasting precision power and stronger generalization ability than BP neural network and RBF neural network. In addi- tion, it is feasible and effective in forecasting patent application counts.
基金Supported by the National Natural Science Foun-dation of China (60403027)
文摘This paper presents two one-pass algorithms for dynamically computing frequency counts in sliding window over a data stream-computing frequency counts exceeding user-specified threshold ε. The first algorithm constructs subwindows and deletes expired sub-windows periodically in sliding window, and each sub-window maintains a summary data structure. The first algorithm outputs at most 1/ε ＋ 1 elements for frequency queries over the most recent N elements. The second algorithm adapts multiple levels method to deal with data stream. Once the sketch of the most recent N elements has been constructed, the second algorithm can provides the answers to the frequency queries over the most recent n （ n≤N） elements. The second algorithm outputs at most 1/ε ＋ 2 elements. The analytical and experimental results show that our algorithms are accurate and effective.
文摘相位细分技术是提高精密仪器测量分辨率和精度的关键技术。传统的机械、光学等细分技术已难以满足当前高精度测量领域的需求。基于坐标旋转数字计算(Coordinate Rotation Digital Computer,CORDIC)方法的角度计算原理,将输入的正交信号转换为向量(x,y),通过多次旋转迭代使向量最终收敛于X轴,对旋转角度进行求和即可得到目标角度值。基于FPGA用Verilog语言编写CORDIC算法,可以实现相位细分、信号辨向和整周期计数功能,通过扩展数据位宽消除了算法迭代过程中产生的舍入误差。对改进算法进行了仿真与实验验证,结果表明经过20级迭代后其理论分辨率为0.4″,计算角度的误差为±0.5″,光栅测角系统实际测量误差减小了约98.42%。该算法通过对正交信号进行精密细分来计算精密仪器的相角变化量,在工程应用中具有普适性。
基金Supported by the National Natural Science Foundation of China under Grant Nos. 10325521, 60433050, and the National Basic 973 Research Program under Grant No. 001CB309308. Acknowledgement The authors would like to thank Mr. Nan Zhao for helpful discussions.
文摘In this article, the error analysis in the quantum counting algorithm is investigated. It has been found that the random error plays as important a role as the systematic error does in the phase inversion operations. Both systematic and random errors are important in the Hadamard transformation. This is quite different from the Grover algorithm and the Shor algorithm.
基金Research grants support from the Natural Science Foundation of China(No.31702393&No.32073028)Ningbo Public Welfare Key Project(No.2019C10098).
文摘Quantitative counting of fry is required for multiple reasons,including breeding,transportation,and sales and creating a fish-counting algorithm using image processing technology is proposed as a useful method.The images for fish fry were preprocessed to extract the details of the target fish,using methods including binarization,dilation,and erosion.The thinning and the connected area algorithms were then independently adopted to count the fish fry within the image.The advantages and the disadvantages of the two algorithms under different densities were also compared,revealing that the fish fry pictures with a clear contrast between the foreground and background resulted in a higher accuracy.The main purpose of this research is to solve the problem of fry counting in the case of high density and high overlap.This research provides a reference point for this method based on image technology.
基金partially supported by the Nation al Key Research and Development Program of China(2022YFD2100601)the Key Research and Development Program of Jiangsu Province(BE2021379)+4 种基金the Agricultural Independent Innovation of Jiangsu Province(CX225009)the National Natural Science Foundation of China(32102081)Fonds de Recherche du Québec Nature et technologies(FRQNT)Programme de recherche en partenariat—Agriculture durable(grant no.G259806 FRQ-NT 322853 X-Coded 259432)R.K.extends his appreciation for the scholarship provided by CSCthe fund from 333 High Levels Talents Cultivation of Jiangsu Province.
文摘The deployment of intelligent surveillance systems to monitor tomato plant growth poses substantial challenges due to the dynamic nature of disease patterns and the complexity of environmental conditions such as background and lighting.In this study,an integrated cascade framework that synergizes detectors and trackers was introduced for the simultaneous identification of tomato leaf diseases and fruit counting.We applied an autonomous robot with smartphone camera to collect images for leaf disease and fruits in greenhouses.
基金supported by the National Natural Science Foundation of China (Grant No. 10878005/A03)
文摘The decoding algorithms of two-dimensional Vernier anodes are deduced theoretically.The precision of decoding and uniqueness of encoding are proved.The influencing factors of detection sensitivity and spatial resolution are discussed.The single photon imaging system is constructed,and the two-dimensional Vernier collector is fabricated.The image of the ultra-weak emission source is reconstructed.The spatial resolution of the system is about 100μm.
