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Kea-tiong Tang - One of the best experts on this subject based on the ideXlab platform.
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and Bioanalytical Chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm^2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k -nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka. Figure The miniature e-nose device prototype
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and bioanalytical chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k-nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka.
Shih-wen Chiu - One of the best experts on this subject based on the ideXlab platform.
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and Bioanalytical Chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm^2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k -nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka. Figure The miniature e-nose device prototype
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and bioanalytical chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k-nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka.
Soon-chieh Lim - One of the best experts on this subject based on the ideXlab platform.
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VLSI Design of a Wavelet Processing Core
IEEE Transactions on Circuits and Systems for Video Technology, 2006Co-Authors: Sze-wei Lee, Soon-chieh LimAbstract:A Processing Core architecture for the implementation of the discrete wavelet transform (DWT), optimized for throughput, scalability and programmability is proposed. The architecture is based on the RISC architecture with an instruction set specifically designed to facilitate the implementation of wavelet-based applications and a memory controller optimized for the memory access pattern of DWT Processing
Ting-i Chou - One of the best experts on this subject based on the ideXlab platform.
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and Bioanalytical Chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm^2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k -nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka. Figure The miniature e-nose device prototype
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and bioanalytical chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k-nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka.
Hsin Chen - One of the best experts on this subject based on the ideXlab platform.
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and Bioanalytical Chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm^2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k -nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka. Figure The miniature e-nose device prototype
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A miniature electronic nose system based on an MWNT–polymer microsensor array and a low-power signal-Processing chip
Analytical and bioanalytical chemistry, 2014Co-Authors: Shih-wen Chiu, Ting-i Chou, Hsin Chen, Kea-tiong TangAbstract:This article introduces a power-efficient, miniature electronic nose (e-nose) system. The e-nose system primarily comprises two self-developed chips, a multiple-walled carbon nanotube (MWNT)–polymer based microsensor array, and a low-power signal-Processing chip. The microsensor array was fabricated on a silicon wafer by using standard photolithography technology. The microsensor array comprised eight interdigitated electrodes surrounded by SU-8 “walls,” which restrained the material–solvent liquid in a defined area of 650 × 760 μm2. To achieve a reliable sensor-manufacturing process, we used a two-layer deposition method, coating the MWNTs and polymer film as the first and second layers, respectively. The low-power signal-Processing chip included array data acquisition circuits and a signal-Processing Core. The MWNT–polymer microsensor array can directly connect with array data acquisition circuits, which comprise sensor interface circuitry and an analog-to-digital converter; the signal-Processing Core consists of memory and a microprocessor. The Core executes the program, classifying the odor data received from the array data acquisition circuits. The low-power signal-Processing chip was designed and fabricated using the Taiwan Semiconductor Manufacturing Company 0.18-μm 1P6M standard complementary metal oxide semiconductor process. The chip consumes only 1.05 mW of power at supply voltages of 1 and 1.8 V for the array data acquisition circuits and the signal-Processing Core, respectively. The miniature e-nose system, which used a microsensor array, a low-power signal-Processing chip, and an embedded k-nearest-neighbor-based pattern recognition algorithm, was developed as a prototype that successfully recognized the complex odors of tincture, sorghum wine, sake, whisky, and vodka.
