The principles of the SM2 algorithm. by He-Jun Lu (11278574)

“…This paper presents a hybrid encryption security framework that combines the SM2, SM3, and SM4 algorithms to address emerging threats in IMS. …”

The SM3 cryptographic hash algorithm. by He-Jun Lu (11278574)

“…This paper presents a hybrid encryption security framework that combines the SM2, SM3, and SM4 algorithms to address emerging threats in IMS. …”

SM4 cryptographic algorithm flow chart. by He-Jun Lu (11278574)

“…This paper presents a hybrid encryption security framework that combines the SM2, SM3, and SM4 algorithms to address emerging threats in IMS. …”

Overall performance comparison of SM2 and RSA-3072 algorithms. by He-Jun Lu (11278574)

Rotor-side three-phase current variation. by Yanling Lv (327106)

“…<div><p>Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional–integral–derivative controllers under voltage transients. …”

Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

Illustration of the Trace Ridges methodology. (a) Region of interest of one SHG image that shows some strong ridges and a region with some noise highlighted with a green rectangle.... by Youssef Arafat (21009293)

Comparison of human consensus ratings and M.E.D.V.I.S. algorithm classifications for figure quality. by Hector Torres (11708207)

Functional modules. by Mehrnaz Shoushtarian (6411299)

Overview of data analysis. by Mehrnaz Shoushtarian (6411299)

Key parameters of DFIG. by Yanling Lv (327106)

“…<div><p>Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional–integral–derivative controllers under voltage transients. …”

Parameter values. by Yanling Lv (327106)

“…<div><p>Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional–integral–derivative controllers under voltage transients. …”

DC bus voltage variations. by Yanling Lv (327106)

“…<div><p>Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional–integral–derivative controllers under voltage transients. …”

MPPT operating curve of the DFIG. by Yanling Lv (327106)

“…<div><p>Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional–integral–derivative controllers under voltage transients. …”

Structure of a DFIG. by Yanling Lv (327106)

“…<div><p>Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional–integral–derivative controllers under voltage transients. …”

Presentation 1_Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.zip by Zhou Dong (6293171)

Movement of the sample during the rotation with a fixed focus position. by Hannes Benecke (17409369)

Presentation 1_Comparison of four different assays to evaluate cellular-mediated immunity against cytomegalovirus in solid organ transplantation.zip by Angela Casas-Parra (21373205)

A unified framework for estimation of truncated bivariate normal distribution with non-regular domains: applications in medicometrics by Xuanyu Liu (3127302)

“…Furthermore, we expand the rectangle truncated domain to encompass parallelograms and even non-regular truncated domains, presenting an embedding <i>Monte Carlo N-EM</i> (MCN-EM) algorithm for the estimation in non-regular truncated domains. …”

Video 1_Development and control of a robotic assistant walking aid for fall risk reduction.mp4 by Marcel Naderer (22434454)

“…The proposed system uses a wearable inertial measurement unit to detect postural imbalances in the sagittal (front-back) and frontal (side-to-side) planes. When instability is detected, the robotic arm generates compensatory forces or torques through linear or rotational actuators to help the user regain a stable posture. …”