Thermal and flicker noise improvement in short-channel CMOS detectors
- Venter, Johan, Sinha, Saurabh
- Authors: Venter, Johan , Sinha, Saurabh
- Date: 2014
- Subjects: CMOS sensors , Detector development , Infrared detectors , Integrated circuits , Near infrared , Sensors , Simulations
- Type: Article
- Identifier: http://ujcontent.uj.ac.za8080/10210/374668 , uj:4735 , ISSN 0277-786X , http://hdl.handle.net/10210/11662
- Description: Integrated circuit (IC) technology has emerged as a suitable platform for infrared (IR) detector development. This technology is however susceptible to on-chip intrinsic noise. By using double-gate MOSFETs for detectors in the near-IR band, noise performance in the readout circuitry is improved, thereby enhancing the overall performance of these detectors. A 1 dB reduction in low-frequency noise is achieved, which is verified through simulations. It is shown that by using short-channel devices that noise improvement is furthermore obtained due to reduction in threshold voltage variation. The double-gate concept is applied in simulation to the three-transistor pixel topology and can also be implemented in other detector topologies such as the four-transistor pixel topology, since readout noise is not limited to specific IR detector topologies. The overall performance of near-IR detectors and the fill factor are significantly improved. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
- Full Text:
- Authors: Venter, Johan , Sinha, Saurabh
- Date: 2014
- Subjects: CMOS sensors , Detector development , Infrared detectors , Integrated circuits , Near infrared , Sensors , Simulations
- Type: Article
- Identifier: http://ujcontent.uj.ac.za8080/10210/374668 , uj:4735 , ISSN 0277-786X , http://hdl.handle.net/10210/11662
- Description: Integrated circuit (IC) technology has emerged as a suitable platform for infrared (IR) detector development. This technology is however susceptible to on-chip intrinsic noise. By using double-gate MOSFETs for detectors in the near-IR band, noise performance in the readout circuitry is improved, thereby enhancing the overall performance of these detectors. A 1 dB reduction in low-frequency noise is achieved, which is verified through simulations. It is shown that by using short-channel devices that noise improvement is furthermore obtained due to reduction in threshold voltage variation. The double-gate concept is applied in simulation to the three-transistor pixel topology and can also be implemented in other detector topologies such as the four-transistor pixel topology, since readout noise is not limited to specific IR detector topologies. The overall performance of near-IR detectors and the fill factor are significantly improved. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
- Full Text:
Dataset for a wireless sensor network based drinking-water quality monitoring and notification system
- Sithole, Mhambi Phila Philadephian, Nwulu, Nnamdi I., Dogo, Eustace M.
- Authors: Sithole, Mhambi Phila Philadephian , Nwulu, Nnamdi I. , Dogo, Eustace M.
- Date: 2019
- Subjects: Water quality parameters , Sensors , Internet of things
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/407383 , uj:34289 , Citation: Sithole, M.P.P., Nwulu, N.I. & Dogo, E.M. 2019. Dataset for a wireless sensor network based drinking-water quality monitoring and notification system.
- Description: Abstract: This paper presents the collected experimental data for water quality monitoring which was conducted in ten experiments by using five different common sources of water contaminants namely soil, salt, washing powder, chlorine and vinegar and their combination. The data were collected indoors at room temperature during the day for several days using sensors that measure pH, turbidity, flow rate, and conductivity in water. The water consumption risk (CR) was calculated as deviation based on the water quality parameters standards proposed by the World Health Organisation (WHO) and the South African Department of Water Affairs (DWA), with respect to the sensor measurement readings obtained. While the error measurements were calculated based on the expected parameter measurement per conducted experiment and repeated for 26 measurements. Pure tap water was the benchmark of water safe for human consumption. The first five experiments were performed by introducing each contaminant into the water and thereafter, two contaminants in the sixth experiment and their additions until all different contaminants were experimented at once in the last experiment.
- Full Text:
- Authors: Sithole, Mhambi Phila Philadephian , Nwulu, Nnamdi I. , Dogo, Eustace M.
- Date: 2019
- Subjects: Water quality parameters , Sensors , Internet of things
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/407383 , uj:34289 , Citation: Sithole, M.P.P., Nwulu, N.I. & Dogo, E.M. 2019. Dataset for a wireless sensor network based drinking-water quality monitoring and notification system.
- Description: Abstract: This paper presents the collected experimental data for water quality monitoring which was conducted in ten experiments by using five different common sources of water contaminants namely soil, salt, washing powder, chlorine and vinegar and their combination. The data were collected indoors at room temperature during the day for several days using sensors that measure pH, turbidity, flow rate, and conductivity in water. The water consumption risk (CR) was calculated as deviation based on the water quality parameters standards proposed by the World Health Organisation (WHO) and the South African Department of Water Affairs (DWA), with respect to the sensor measurement readings obtained. While the error measurements were calculated based on the expected parameter measurement per conducted experiment and repeated for 26 measurements. Pure tap water was the benchmark of water safe for human consumption. The first five experiments were performed by introducing each contaminant into the water and thereafter, two contaminants in the sixth experiment and their additions until all different contaminants were experimented at once in the last experiment.
- Full Text:
- «
- ‹
- 1
- ›
- »