▍1. MWC2.1
MWC2.1飞控 arduino代码设置(MWC2.1 flight control arduino code set)
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▍4. HCL-Test-Paper-Pattern-(HR-Interview--Techincal-A
HCL Test Paper Pattern (HR Interview, Techincal And Aptitude) Aptitude is an online round. There were only 2 rounds for us. 1.Aptitude(2 Apps for IT and CSE) A. General aptitude(60 que in 50 min) B. Technical Aptitude(Data Structures,C,OS)[25 que in 20 min]
▍5. HCL-Test-Paper-Pattern-(HR-Interview--Techincal-A
HCL Test Paper Pattern (HR Interview, Techincal And Aptitude) Aptitude is an online round. There were only 2 rounds for us. 1.Aptitude(2 Apps for IT and CSE) A. General aptitude(60 que in 50 min) B. Technical Aptitude(Data Structures,C,OS)[25 que in 20 min]
▍6. signal
信号与系统的实验报告：信号系统的系统响应，应用FFT对信号进行频谱分析，用双线性变换法设计IIR滤波器，用窗函数设计FIR滤波器(Signal and system test report: system response signaling system, application FFT spectrum analysis of signals using bilinear transform IIR filters, FIR filter design using window function)
▍7. signal
信号与系统的实验报告：信号系统的系统响应，应用FFT对信号进行频谱分析，用双线性变换法设计IIR滤波器，用窗函数设计FIR滤波器(Signal and system test report: system response signaling system, application FFT spectrum analysis of signals using bilinear transform IIR filters, FIR filter design using window function)
▍8. Mohamad-suhail_Body
Robotic systems have brought significant socioeconomic impacts to human lives over the past few decades. Cloud Robotics is the latest existing idea tapping into the Internet s vast and rapidly expanding network of computing and data resources. Cloud Robotics has the potential to significantly improve robot performance by indexing libraries of annotated image models to provide semantic information, e.g., CAD models and material properties to facilitate grasping, providing access to massively parallel computation, e.g., video processing, sample-based uncertainty modeling and motion planning, and statistical robot learning, supporting on-demand sharing of data, software, trajectories, and dynamic control policies, obtaining call-center human guidance when all else fails. Cloud computing can enable cheaper, lighter, “smarter” robots. The infrastructure exists and is rapidly evolving in terms of performance and accessibility
▍9. Mohamad-suhail_Body
Robotic systems have brought significant socioeconomic impacts to human lives over the past few decades. Cloud Robotics is the latest existing idea tapping into the Internet s vast and rapidly expanding network of computing and data resources. Cloud Robotics has the potential to significantly improve robot performance by indexing libraries of annotated image models to provide semantic information, e.g., CAD models and material properties to facilitate grasping, providing access to massively parallel computation, e.g., video processing, sample-based uncertainty modeling and motion planning, and statistical robot learning, supporting on-demand sharing of data, software, trajectories, and dynamic control policies, obtaining call-center human guidance when all else fails. Cloud computing can enable cheaper, lighter, “smarter” robots. The infrastructure exists and is rapidly evolving in terms of performance and accessibility
▍10. gender
Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.
▍11. gender
Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.
▍12. visio
Visio 2010图形设计实战技巧精粹，让读者一目了然，更好地掌握Visio 2010。(Visio 2010 graphic design essence of combat skills, to give readers a glance, a better grasp of Visio 2010.)
▍13. visio
Visio 2010图形设计实战技巧精粹，让读者一目了然，更好地掌握Visio 2010。(Visio 2010 graphic design essence of combat skills, to give readers a glance, a better grasp of Visio 2010.)
▍14. 132-Study-of-optimal-total-cost-of-active-power-i
Study of optimal total cost of active power in AC-DC systems
▍15. 132-Study-of-optimal-total-cost-of-active-power-i
Study of optimal total cost of active power in AC-DC systems
▍18. 127-A-direct-torque-control-of-induction-motor-ba
direct torque control of induction machine with thre level inverter
▍19. 127-A-direct-torque-control-of-induction-motor-ba
direct torque control of induction machine with thre level inverter
▍20. Electronic-locks
基于51单片机的电子密码锁设计，完整的文档。(Based on 51 single-chip electronic code lock design, complete documentation.)
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