▍1. MWC2.1
MWC2.1飞控 arduino代码设置(MWC2.1 flight control arduino code set)
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▍2. MWC2.1
MWC2.1飞控 arduino代码设置(MWC2.1 flight control arduino code set)
▍3. 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]
▍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. 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)
▍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. 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.
▍8. 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.
▍9. 132-Study-of-optimal-total-cost-of-active-power-i
Study of optimal total cost of active power in AC-DC systems
▍10. 132-Study-of-optimal-total-cost-of-active-power-i
Study of optimal total cost of active power in AC-DC systems
▍13. 127-A-direct-torque-control-of-induction-motor-ba
direct torque control of induction machine with thre level inverter
▍14. 127-A-direct-torque-control-of-induction-motor-ba
direct torque control of induction machine with thre level inverter
▍15. ex3
1、熟悉LTE网络体系架构及接口； 2、掌握DBS3900单站数据配置整体流程； 3、掌握DBS3900单站全局数据配置步骤； 4、掌握DBS3900单站全局传输数据配置命令及参数含义； 5、掌握DBS3900单站无线层数据配置命令及参数含义； 6、理解BBU LMPT单板电口IP至MME IP地址对应意义（指向控制面--SCTPLNK）； 7、理解BBU LMPT单板电口IP与S-GW IP地址对应意义（指向用户面---IPPATH）； 8、理解扇区、小区的概念及二者的关系、 9、会将MML命令行制作成脚本数据。 ( A familiar LTE network architecture and interfaces 2, master data configuration DBS3900 single station overall process 3, master DBS3900 single station Global Data configuration steps 4, master DBS3900 single station global configuration commands and parameters of data transmission meaning 5, master data DBS3900 single station radio layer configuration commands and parameters meaning 6, understanding BBU LMPT board electrical interface IP to the MME IP address corresponding meaning (pointing control surfaces- SCTPLNK) 7, understanding BBU LMPT board electrical interface IP and S-GW IP address corresponding meaning (pointing to the user plane--- IPPATH) 8, understanding the sector, community and the relationship between the concepts, 9, will be made into MML command line script data.)
▍16. ex3
1、熟悉LTE网络体系架构及接口； 2、掌握DBS3900单站数据配置整体流程； 3、掌握DBS3900单站全局数据配置步骤； 4、掌握DBS3900单站全局传输数据配置命令及参数含义； 5、掌握DBS3900单站无线层数据配置命令及参数含义； 6、理解BBU LMPT单板电口IP至MME IP地址对应意义（指向控制面--SCTPLNK）； 7、理解BBU LMPT单板电口IP与S-GW IP地址对应意义（指向用户面---IPPATH）； 8、理解扇区、小区的概念及二者的关系、 9、会将MML命令行制作成脚本数据。 ( A familiar LTE network architecture and interfaces 2, master data configuration DBS3900 single station overall process 3, master DBS3900 single station Global Data configuration steps 4, master DBS3900 single station global configuration commands and parameters of data transmission meaning 5, master data DBS3900 single station radio layer configuration commands and parameters meaning 6, understanding BBU LMPT board electrical interface IP to the MME IP address corresponding meaning (pointing control surfaces- SCTPLNK) 7, understanding BBU LMPT board electrical interface IP and S-GW IP address corresponding meaning (pointing to the user plane--- IPPATH) 8, understanding the sector, community and the relationship between the concepts, 9, will be made into MML command line script data.)
▍17. Attachments_20131017
Mathematical model of Induction generator
▍18. Attachments_20131017
Mathematical model of Induction generator
▍19. Person-Identification-Using-Ear-Biometrics
Person Identification Using Ear Biometrics
▍20. Person-Identification-Using-Ear-Biometrics
Person Identification Using Ear Biometrics
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