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检索条件"主题词=software algorithms"

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A Groundwater Stratification Monitoring Instrument for One Shaft with Multi-Layer Well

A Groundwater Stratification Monitoring Instrument for One S...

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International Conference on Computers, Communications, and Systems (ICCCS)

作者： Lei Zhang Kang Li Meijuan Ren Qingguo Song China Geological Survey Center for Hydrogeology and Environmental Geology Baoding China Instrument R&D department Aimoli (Hebei) Technology Co.LTD Shijiazhuang China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

A groundwater layered monitoring system is created for the current situation of monitoring groundwater in a one shaft with multi-layer well. The construction and features of a one shaft with multi-layer well are introduced. It consists of a communication host and several collecting probes. Water level sensors can be connected using standard protocol communication. The automated sensor collection and monitoring data analysis made possible by the integrated recognition algorithm enhances the system's suitability for field deployment. Linear correction and uniform calibration are performed to ensure the accuracy of the water level sensor. Various steps are taken, starting with hardware and software, to increase system stability while simultaneously building a three-dimensional visualization information platform for monitoring groundwater stratification. The system is applied in farmland area, and the working efficiency is greatly improved.

关键词： Shafts Accuracy Protocols software algorithms Sensor phenomena and characterization Stability analysis software

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Optimal design of electronic controller easy assembly based on digital twin drive

Optimal design of electronic controller easy assembly based ...

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Electrical Engineering and Control Science (IC2ECS), International Conference on

作者： Jianbo Mao School of Mechanical Engineering Jiangsu University of Technology Changzhou China Jiangsu Key Laboratory of Recycling and Reuse Technology for Mechanical and Electronic Products Changshu China

ISBN: (数字)9798331510107

ISBN: (纸本)9798331510114

order to improve the assembly efficiency and accuracy, and reduce the operating cost of the machine, this paper establishes a digital twin platform through Unity3D to facilitate the simulation of the assembly process. Finally, through the Matlab software that can be called Unity3D, an easy-to-assemble optimization model with the assembly cost of the electronic controller as the objective function is established, the fuzzy assignment and constraints are defined according to the actual assembly conditions, and the optimization algorithm design is carried out by using the function to obtain the fuzzy value of the assembly cost. In this way, it can provide assembly process planning guidance for the real-world electronic controller assembly process.

关键词： Costs software algorithms Process planning Process control Linear programming software Digital twins MATLAB Assembly Optimization

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A “Kuznyechik” Block Cipher Accelerator for RISC-V System-on-Chip

A “Kuznyechik” Block Cipher Accelerator for RISC-V System-...

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Cryptography And Information Security (VCRIS), International Conference On

作者： Ba-Anh Dao Ngoc-Quynh Nguyen Chung-Tien Nguyen The Academy of Cryptography Techniques Hanoi Vietnam

ISBN: (数字)9798331529949

ISBN: (纸本)9798331529956

Kuznyechik is the Russian symmetric block cipher algorithm that has been introduced in the National Standard of the Russian Federation GOST R 34.12-2015. It provides higher security against mathematical cryptanalysis at the cost of higher computing complexity. In this study, a Kuznyechik accelerator for RISC-V System-on-Chip is proposed to significantly improve the encryption/decryption times of the Russian symmetric block cipher algorithm. Compared to the execution time of an open-source Kuznyechik software implementation, that of the proposed accelerator is reduced by 1597.8 fold. The proposed accelerator has a maximum operating frequency of 124.01 MHz, with a maximum encryption/decryption throughput of 283.45 Mbps. When being deployed on a Xilinx Kintex-7 FPGA device, the proposed Kuznyechik accelerator utilizes a relatively small amount of hardware resources, including 6175 Slice Look-up-Tables (LUTs), 2725 Slice Registers and 4 Block RAM (BRAM), which is 9.74%, 2.15% and 2.96% of available Slice LUTs, Slice Registers and Block RAM, respectively.

关键词： Ciphers software algorithms Random access memory Throughput Table lookup System-on-chip Registers Hardware acceleration Field programmable gate arrays Standards

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Performance Improvement of Art Design Drawing Tools Based on Multi-Objective Optimization Algorithm

Performance Improvement of Art Design Drawing Tools Based on...

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Artificial Intelligence and Autonomous Robot Systems (AIARS), International Conference on

作者： Yihan Niu Zhiqiang Guan Lanzhou Resources&Environment Voc-Tech University Lanzhou Gansu China

ISBN: (数字)9798350376173

ISBN: (纸本)9798350376180

With the rise of digital art design, the performance of drawing tools is directly related to the designer's work efficiency and creative experience. However, the existing drawing tools often have problems such as slow response and high resource occupation when facing complex design tasks. Therefore, this study proposes a performance improvement scheme based on multi-objective optimization algorithm, aiming at realizing the comprehensive optimization of tool response speed, resource utilization and stability. Firstly, this paper analyzes the key factors that affect the performance of drawing tools, and constructs a mathematical model with multiple optimization objectives. Then, the advanced multi-objective optimization algorithm is used to solve the model. The experimental results show that the average response time of the drawing tool processed by the multi-objective optimization algorithm is reduced by about 25%, and the CPU utilization rate is reduced by 21 % by the strategy of reducing resource occupation, which effectively reduces the system burden. These data fully prove the effectiveness of the method proposed in this study. This research result not only provides designers with more efficient and stable creative tools, but also provides new ideas and methods for the development and optimization of drawing software.

关键词： Technological innovation software algorithms Stability analysis Mathematical models User experience software Time factors Sustainable development Optimization Thermal stability

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Ultra-Low Power Designs and Strategies for Next-Generation Sensor Networks

Ultra-Low Power Designs and Strategies for Next-Generation S...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Priyanka Gupta Revathi V Ali Abduhussien Hameed Manish Gupta Suman Avdhesh Yadav Bolleddu Devananda Rao Department of Computer Science and Engineering Institute of Aeronautical Engineering Hyderabad Telangana India Department of Applied Sciences New Horizon College of Engineering Bangalore India Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq Lovely Professional University Phagwara India Department of Computer Science & Engineering IILM University Greater Noida Uttar Pradesh India Department of Computer Science and Engineering MLR Institute of Technology Hyderabad Telangana India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

Energy-efficient design and operation are essential for next-generation sensor networks to persist and require less maintenance. This paper describes a novel energy-efficient sensor network. It uses superior data routing and aggregation. Three novel algorithms-EARA, DFAA, and Adaptive Data Sampling-make this strategy practicable. EARA sends data with little energy, DFAA collects all data to eliminate duplicates, and ADSA adjusts sample rates based on relevance and variability. Each piece of software sends, manages, and changes sample rates with minimal energy. This innovative energy-saving strategy is tested against static-duty cycling, non-adaptive data aggregation, fixed-rate data sampling, high-energy data transmission, centralized data routing, and unoptimized sensor node location. The recommended solution outperforms network lifetime, energy usage, data accuracy, latency, scalability, and dependability. Energy savings, ease of use, affordability, adaptability, long-lastingness, and network lifespan are usually better with the proposed response. Scatter plots illustrate how much better the proposed method saves energy and works properly. The EARA, DFAA, and ADSA algorithm-based techniques offer great potential for energy-efficient sensor networks. This strategy stabilizes and prolongs sensor network configurations by optimizing data pathways, aggregating data, and adaptively sampling data. The results show that it works, making it a novel strategy for the future generation of sensor networks that demand higher performance and less energy.

关键词： Accuracy Scalability Energy conservation software algorithms Merging Transforms Routing Energy efficiency software Next generation networking

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Optimization of Two-dimensional Path Optimization Algorithm Based on Dijkstra Ant Colony Optimization Algorithm

Optimization of Two-dimensional Path Optimization Algorithm ...

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Signal Processing and Intelligent Computing (SPIC), International Conference on

作者： Heng Guo Qingquan Liu Zhihui Dang School of Equipment Engineering Shenyang Ligong University Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

To address the limitations of the traditional Dijkstra algorithm in two-dimensional path optimization problems, this article uses ant colony algorithm to optimize the Dijkstra algorithm, solving the limitations of the Dijkstra algorithm that requires path optimization in finite node graphs and is difficult to traverse the best path that matches actual situations. Generate initial path through Dijkstra algorithm and allocate pheromones to the initial path through ant colony algorithm for iterative calculation, ultimately converging to the optimal path. Through MATLAB software simulation, the optimized Dijkstra-ant algorithm was compared with the original algorithm, optimized algorithm resulted in a better path.

关键词： Ant colony optimization software algorithms Signal processing algorithms Signal processing Iterative algorithms software Graph theory Optimization Convergence Matlab

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Prediction of Shadowing Effect of Tall Buildings on Digital Terrestrial Television using the Knife-Edge Diffraction Model

Prediction of Shadowing Effect of Tall Buildings on Digital ...

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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Wuraola Ajao John Adedapo Ojo Oluseye Adeleke Department of Electrical and Electronics Engineering Elizade University Ilara Mokin Nigeria Department of Electronic and Electrical Engineering Ladoke Akintola University of Technology Ogbomoso Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Digital Terrestrial Television (DTTV) is the means of broadcasting digital TV signals through line-of-sight. Losses due to shadowing caused by tall structures along the propagation path can be efficiently formulated using the theory of single or double knife-edge diffraction. However, the technique does not take care of cases with multiple edges without overestimating the losses necessitating the need for a more accurate method. Therefore, this work developed an improved algorithm for the prediction of shadowing effect of tall buildings on digital terrestrial television reception using the knife-edge diffraction model for multiple edges. The direct paths between transmitters and receivers were defined and their profiles were extracted using the Google Earth software. The Japanese knife-edge diffraction method was modified and used to compute the diffraction loss. The total path loss was estimated by summing diffraction loss and the free space loss. The power received at each location was measured and compared with the theoretical values of the ITU-R, Japanese knife-edge and modified Japanese knife-edge models. The developed algorithm performed better in terms of path loss and received power when compared with conventional methods. This work will assist in estimating link budgets and footprints of DTTV transmitters for effective coverage.

关键词： Diffraction Transmitters Computational modeling Buildings software algorithms Receivers Predictive models Prediction algorithms software Shadow mapping

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Natural Disaster Earthquake Prediction using Linear Regression Algorithm Comparing with K-Nearest Neighbors Algorithm

Natural Disaster Earthquake Prediction using Linear Regressi...

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Advancement in Computation & Computer Technologies (InCACCT), International Conference on

作者： Sumanth Kalavakunta V Parthipan Department of CSE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India

ISBN: (数字)9798350371314

ISBN: (纸本)9798350371321

For more precise results, of earthquake predictions given by the KNN algorithm, this research employs the Linear Regression Algorithm. This research makes use of both the KNN algorithm and the linear regression method. The sample size varies for each category. 10 in each group, which is iterated and calculated using Clinical software with an alpha value of 0.05, G-power pre-test score of 80% and a CI of 95%. The earthquake prediction dataset with a size of 10112 was taken from *** The It would seem that the new linear regression the accuracy of the KNN technique is surpassed by the method. (89.50%). which is 79.20% and it shows that the significant difference between Linear regression and KNN algorithm with the value of p=0.001 (Independent sample t-test p<0.05) in SPSS statistical analysis prediction of earthquake. The results determined that earthquake prediction the Linear Regression Algorithm has better when compared to the K-Nearest Neighbors Algorithm in prediction of natural disaster earthquake.

关键词： Statistical analysis Disasters Linear regression Earthquakes software algorithms Prediction algorithms software

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Development of a Model for Texture Analysis of Machined Parts on CNC Machines

Development of a Model for Texture Analysis of Machined Part...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Ilya Kovalev David Malykh Alexander Kiselev department of Computer Control Systems MSUT “STANKIN” Moscow Russia department of Robotics and Mechatronics MSUT “STANKIN” Moscow Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

This work is devoted to the development of a software module for analyzing the textures of machined parts on CNC machines using computer vision methods. The main goal of the research is to create a tool capable of analyzing geometric parameters of products based on texture properties of materials, which is especially relevant in the conditions of high-volume production. The paper considers modern methods of texture analysis, as well as their robustness to various disturbances such as illumination changes, noise, blurring, rotation and image scaling. An analysis system that combines binocular and texture methods of image processing is proposed, which makes it possible to improve the accuracy of measuring distances to objects on the basis of binocular algorithm, by means of additional analysis of texture properties of surfaces of the processed part.

关键词： Computer vision Image analysis software algorithms Noise User interfaces software Robustness Classification algorithms Surface texture Surface treatment

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F annal Model for the average Request Processing Time in a Real- Time Data Processing System

F annal Model for the average Request Processing Time in a R...

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International Conference on Management of Large-Scale System Development (MLSD)

作者： Sergey Somov Laboratory No20 Institute of Control Sciences of RAS Moscow Russia

This work addresses the problems of analysis and synthesis of software and data ware for distributed data processing systems operating in real time. The paper presents formal models and algorithms for calculating the ... 详细信息

ISBN: (数字)9798350375718

ISBN: (纸本)9798350375725

关键词： software algorithms Education Distributed databases Data processing Real-time systems Data models software Large-scale systems

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