信徒 发表于 2025-3-28 15:07:14
Model Driven Architecture in Containers-Based Software Development,anguage standard to describe containers semantically, automate the process of creating containers and later deploying them to the platform as a service. The paper presents the concept of using Unified Modeling Language (UML) as well as principles of Model Driven Architecture (MDA) to automate creati合并 发表于 2025-3-28 21:24:03
Low Cost Wireless Micro-Electro-Mechanical-Systems Accelerometers Linear Sensor Model, to reduce different errors for the system. Experiments with Matlab analysis has been displayed in the paper. Transmission of accelerometer in both cable and wireless has been calculated and displayed from 1500 samples. Linear sensor model has been applied into the experiment results to optimize theechnic 发表于 2025-3-28 23:24:22
http://reply.papertrans.cn/87/8689/868839/868839_43.png战役 发表于 2025-3-29 03:55:45
http://reply.papertrans.cn/87/8689/868839/868839_44.pngHEDGE 发表于 2025-3-29 09:52:20
Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver,quired because the accuracy decides the quality of ITS services. For realization of high precision positioning, kinematic positioning technique has been attracting attention. The kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficultarbovirus 发表于 2025-3-29 11:45:27
http://reply.papertrans.cn/87/8689/868839/868839_46.pngCervical-Spine 发表于 2025-3-29 19:31:39
Tracking of Multiple Moving Objects Using Two Dimensional Beamforming Based on Low Cost Crossed Senditional information such as ranges and radial velocities. Most radars use two dimensional full array to sense the target. To achieve high resolution, with the increasing sensor number, the sampling and computation cost are large. In order to reduce the overall cost, some methods based on sparse arrGuaff豪情痛饮 发表于 2025-3-29 19:55:11
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http://reply.papertrans.cn/87/8689/868839/868839_49.pngwangle 发表于 2025-3-30 06:36:59
Learning Classifiers for Multimodal Image Detection,r has own distinct architectural properties which allow to apply them in various application-specific requirements. Here, an experimental work is performed to analyse the performance and accuracy of most commonly used learning classifiers applied within the scope of multimodal image classification p