School of Electrical and Electronic Engineering (EEE)

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141 to 150 of 158 Results

Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer May 24, 2020 - Leong Wei Lin Ko, Jieun; Ng, Chee Koon; Arramel; Wee, Andrew Thye Shen; Tam, Teck Lip Dexter; Leong, Wei Lin, 2020, "Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer", https://doi.org/10.21979/N9/JVHKQQ, DR-NTU (Data), V1 This dataset contained part of the data which were obtained by NTU
Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer May 23, 2020 - Leong Wei Lin Kumari, Priyanka; Ko, Jieun; Rao, Ramgopal; Mhaisalkar, Subodh; Leong, Wei Lin, 2020, "Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer", https://doi.org/10.21979/N9/DEL6G7, DR-NTU (Data), V1, UNF:6:6ybWvdmiqydHgMjI8WbHMQ== [fileUNF] This datasets contain the raw data of the publication.
Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers", https://doi.org/10.21979/N9/MWVFNO, DR-NTU (Data), V1, UNF:6:GTgHLjDPINshZKfoch7QwQ== [fileUNF] This dataset contains partial program source code and the data for analysis for the paper "A Low-power Reliability Enhanced Arbiter Physical Unclonable Function"
Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection", https://doi.org/10.21979/N9/WCIL7X, DR-NTU (Data), V1 This dataset contains the program source code, model file and experimental data for analysis of the paper "Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"
Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs Feb 28, 2020 - WANG Si Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1 This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".
Design validation tool for CMOS-NVM Feb 20, 2020 - Liu Wenye Wang, Yuhao; Ni, Leibin; Chang, Chiphong; Yu, Hao, 2020, "Design validation tool for CMOS-NVM", https://doi.org/10.21979/N9/ETYMHM, DR-NTU (Data), V1 NVMspice is introduced based on recent new modified nodal analysis (MNA) framework, which can effectively support the non-conventional state variables. As such, NVM devices can be stamped into state matrix similarly as one BSIM MOSFET. Compared with equivalent circuit simulation...
Replication Data for: Electrically Pumped Topological Laser with Valley Edge Modes Nov 22, 2019 - Zeng Yongquan Zeng, Yongquan, 2019, "Replication Data for: Electrically Pumped Topological Laser with Valley Edge Modes", https://doi.org/10.21979/N9/PECAGQ, DR-NTU (Data), V1 Quantum cascade lasers (QCLs) are compact electrically-pumped light sources in the technologically important mid-infrared and terahertz (THz) region of the electromagnetic spectrum. Recently, the concept of topology has migrated from condensed matter physics into photonics, givin...
Stochastic Channel Allocation for Nonlinear Systems with Markovian Packet Dropout Sep 21, 2018 - Yushen Long Long, Yushen; Liu, Shuai; Xie, Lihua; Chen, Jie, 2018, "Stochastic Channel Allocation for Nonlinear Systems with Markovian Packet Dropout", https://doi.org/10.21979/N9/Z2AFQE, DR-NTU (Data), V3 This paper addresses a channel scheduling problem for group of dynamically decoupled nonlinear subsystems with actuators connected through digital communication channels and controlled by a centralized controller. Due to the limited communication capacity, only one channel can be...
Using social network information to discover truth of movie ranking Jun 10, 2018 - Truth Discovery Yang, Jielong; Tay, Wee Peng, 2018, "Using social network information to discover truth of movie ranking", https://doi.org/10.21979/N9/L5TTRW, DR-NTU (Data), V1, UNF:6:nRQNiWhKidICLOUiRM+VhA== [fileUNF] The real dataset consists of movie evaluations from IMDB, which provides a platform where individuals can evaluate movies on a scale of 1 to 10. If a user rates a movie and clicks the share button, a Twitter message is generated. We then extract the rating from the Twitter messag...
Data2015 May 21, 2018 - VELOX-CI Raw Data Li, Bingxuan, 2018, "Data2015", https://doi.org/10.21979/N9/QEOLG1, DR-NTU (Data), V1 GPS RO payload raw data File name format: YYMMDDHH00_X_RANGECMP.YYO YY: Year MM: Month DD: Day of the month HH: Hour in UTC X: receiver A, B or C.

Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer

May 24, 2020 - Leong Wei Lin

Ko, Jieun; Ng, Chee Koon; Arramel; Wee, Andrew Thye Shen; Tam, Teck Lip Dexter; Leong, Wei Lin, 2020, "Replication Data for: Water robustness of organic thin-film transistors based on pyrazino[2,3-g]quinoxaline-dione conjugated polymer", https://doi.org/10.21979/N9/JVHKQQ, DR-NTU (Data), V1

This dataset contained part of the data which were obtained by NTU

Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer

May 23, 2020 - Leong Wei Lin

Kumari, Priyanka; Ko, Jieun; Rao, Ramgopal; Mhaisalkar, Subodh; Leong, Wei Lin, 2020, "Replication Data for: Non-volatile Organic Transistor Memory based on Black Phosphorus Quantum dots as Charge Trapping Layer", https://doi.org/10.21979/N9/DEL6G7, DR-NTU (Data), V1, UNF:6:6ybWvdmiqydHgMjI8WbHMQ== [fileUNF]

This datasets contain the raw data of the publication.

Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: A Low-power Reliability Enhanced Arbiter Physical Unclonable Function Based on Current Starved Multiplexers", https://doi.org/10.21979/N9/MWVFNO, DR-NTU (Data), V1, UNF:6:GTgHLjDPINshZKfoch7QwQ== [fileUNF]

This dataset contains partial program source code and the data for analysis for the paper "A Low-power Reliability Enhanced Arbiter Physical Unclonable Function"

Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection", https://doi.org/10.21979/N9/WCIL7X, DR-NTU (Data), V1

This dataset contains the program source code, model file and experimental data for analysis of the paper "Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection"

Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs

Feb 28, 2020 - WANG Si

Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1

This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs".

Design validation tool for CMOS-NVM

Feb 20, 2020 - Liu Wenye

Wang, Yuhao; Ni, Leibin; Chang, Chiphong; Yu, Hao, 2020, "Design validation tool for CMOS-NVM", https://doi.org/10.21979/N9/ETYMHM, DR-NTU (Data), V1

NVMspice is introduced based on recent new modified nodal analysis (MNA) framework, which can effectively support the non-conventional state variables. As such, NVM devices can be stamped into state matrix similarly as one BSIM MOSFET. Compared with equivalent circuit simulation...

Replication Data for: Electrically Pumped Topological Laser with Valley Edge Modes

Nov 22, 2019 - Zeng Yongquan

Zeng, Yongquan, 2019, "Replication Data for: Electrically Pumped Topological Laser with Valley Edge Modes", https://doi.org/10.21979/N9/PECAGQ, DR-NTU (Data), V1

Quantum cascade lasers (QCLs) are compact electrically-pumped light sources in the technologically important mid-infrared and terahertz (THz) region of the electromagnetic spectrum. Recently, the concept of topology has migrated from condensed matter physics into photonics, givin...

Stochastic Channel Allocation for Nonlinear Systems with Markovian Packet Dropout

Sep 21, 2018 - Yushen Long

Long, Yushen; Liu, Shuai; Xie, Lihua; Chen, Jie, 2018, "Stochastic Channel Allocation for Nonlinear Systems with Markovian Packet Dropout", https://doi.org/10.21979/N9/Z2AFQE, DR-NTU (Data), V3

This paper addresses a channel scheduling problem for group of dynamically decoupled nonlinear subsystems with actuators connected through digital communication channels and controlled by a centralized controller. Due to the limited communication capacity, only one channel can be...

Using social network information to discover truth of movie ranking

Jun 10, 2018 - Truth Discovery

Yang, Jielong; Tay, Wee Peng, 2018, "Using social network information to discover truth of movie ranking", https://doi.org/10.21979/N9/L5TTRW, DR-NTU (Data), V1, UNF:6:nRQNiWhKidICLOUiRM+VhA== [fileUNF]

The real dataset consists of movie evaluations from IMDB, which provides a platform where individuals can evaluate movies on a scale of 1 to 10. If a user rates a movie and clicks the share button, a Twitter message is generated. We then extract the rating from the Twitter messag...

Data2015

May 21, 2018 - VELOX-CI Raw Data

Li, Bingxuan, 2018, "Data2015", https://doi.org/10.21979/N9/QEOLG1, DR-NTU (Data), V1

GPS RO payload raw data File name format: YYMMDDHH00_X_RANGECMP.YYO YY: Year MM: Month DD: Day of the month HH: Hour in UTC X: receiver A, B or C.

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