Retracted Explosive Growth Of Image Sensors In Smart Government Technology And Economic Scale

• doi: 10.1109/ACCESS.2020.3020886
• title: Retracted: Explosive Growth of Image Sensors in Smart Government Technology and Economic Scale
• publisher: IEEE
• isbn:
• issn: 2169-3536
• rank: 3468
• access_type: CCBY - IEEE is not the copyright holder of this material. Please follow the instructions via https://creativecommons.org/licenses/by/4.0/ to obtain full-text articles and stipulations in the API documentation.
• content_type: Early Access Articles
• abstract: CMOS image sensor is a rapidly developing image sensor product in the past decade. Relying on the advantages of process compatibility with standard CMOS process, CMOS image sensor integrates analog photoelectric photosensitive circuit and digital signal processing circuit to become a small and powerful system on chip. This article mainly studies the explosive growth of image sensors in smart government technology and economic scale. The main purpose of this article is to study the technical application of image sensors, reduce the administrative cost of social governance, improve the level of government governance, benefit the public, and realize the requirements of smart government affairs and rapid economic development of the city. This study tested the static performance of the analog-to-digital conversion circuit by inputting a limited number of sampling points, and its integral nonlinearity and differential nonlinearity were both less than 1LSB. The bandgap reference circuit provides a reference level for the entire system. It uses two PNP-type bipolar transistors parasitic in the CMOS process to achieve a temperature and voltage-independent bandgap reference voltage through the feedback of the operational amplifier. It is ideal for use In the case of resistance simulation, its accuracy reaches 16.6ppm. The scanning method of the pixel array uses multi-sampling technology to increase the dynamic range of the sensor by 2N times. The correlated sub-sampling technology eliminates the fixed pattern noise between pixel units. The use of pipelined analog-to-digital converters can achieve good resolution, speed and area compromise.Through the realization and simulation of transistor-level circuits, the performance of each part of the system meets the requirements of design and application.
• article_number: 9184036
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9184036
• html_url: https://ieeexplore.ieee.org/document/9184036/
• abstract_url: https://ieeexplore.ieee.org/document/9184036/
• publication_title: IEEE Access
• conference_location:
• conference_dates:
• publication_number: 6287639
• is_number: 6514899
• publication_year: 2020
• publication_date:
• start_page: 1
• end_page: 1
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 601
• insert_date: 20200901
• index_terms:
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Peer Review Process
    • Public Acceptance
    • CCD Camera
    • Charge-coupled Device
    • Frequency Domain
    • Integration Time
    • Quantum Efficiency
    • Value Of Image
    • Charge-coupled Device Camera
    • Wireless Sensor
    • Debugging
    • Wireless Sensor Networks
    • Shot Noise
    • Poisson Noise
    • Photogenerated Electrons
    • Simple Image
    • P-n Junction
    • Transmission Images
    • Digital Circuits
    • Digital Circuitry
    • Quantization Noise
    • Effective Bandwidth
    • Effective Pixel
    • Beam Quality
    • Laser Beam
    • Low Power Consumption
    • High-pass Filter
    • Beamwidth
    • Beam Diameter
    • Creative Commons Attribution
    • Image Quality
    • Power Consumption
• authors:
  • Author Name: Zijiang Zhu
    Affiliation: Research Center for Collaboration Innovation of Airport Economy, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and Institute of Intelligent Information Processing, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and School of Information Science and Technology, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China.
    Author URL: https://ieeexplore.ieee.org/author/37086699080
    ID: 37086699080
    Order: 1
    Author Affiliations:
    • Research Center for Collaboration Innovation of Airport Economy, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and Institute of Intelligent Information Processing, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and School of Information Science and Technology, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China.
  • Author Name: Bochen Fu
    Affiliation: Faculty of Economics, Hitotsubashi University, Kunitachi-shi 1900023, Tokyo, Japan.
    Author URL: https://ieeexplore.ieee.org/author/37088082925
    ID: 37088082925
    Order: 2
    Author Affiliations:
    • Faculty of Economics, Hitotsubashi University, Kunitachi-shi 1900023, Tokyo, Japan.
  • Author Name: Sheng Zhou
    Affiliation: School of Management, Wuhan Donghu University, Wuhan 430212, Hubei, China. (e-mail: dafengqi33@126.com)
    Author URL: https://ieeexplore.ieee.org/author/37088500822
    ID: 37088500822
    Order: 3
    Author Affiliations:
    • School of Management, Wuhan Donghu University, Wuhan 430212, Hubei, China. (e-mail: dafengqi33@126.com)
  • Author Name: Weihuang Dai
    Affiliation: Research Center for Collaboration Innovation of Airport Economy, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and Institute of Intelligent Information Processing, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and Shool of Management, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China.
    Author URL: https://ieeexplore.ieee.org/author/849162196872623
    ID: 849162196872623
    Order: 4
    Author Affiliations:
    • Research Center for Collaboration Innovation of Airport Economy, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and Institute of Intelligent Information Processing, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China and Shool of Management, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China.

Image Sensor

• sensor_type: CMOS
• resolution: 5 million effective pixels (not precisely stated in paper)
• dynamic_range: 65 - 75 dB (typical for general CMOS sensors)
• pixel_size: Not specified
• dark_current: Not specified in the text; general CMOS sensors vary (small values) but details are not provided in this paper's specific context)

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 3.57 frames per second (for CCD, not CMOS by explicit mention in context)
• noise: Shot noise and fixed-pattern noise discussed; specifics not quantitative

Applications & Benefits

• cell_imaging: Discussed capabilities related to smart government technology and urban governance; no specific cellular imaging details provided
• benefits: Reduction of administrative cost and improvement in governance levels

Supporting Organizations

• supported_by: Research Center for Collaboration Innovation of Airport Economy (RCCIAE); Characteristics Innovation Project of Colleges and Universities of Guangdong Province; Philosophy and Social Sciences Project of Guangdong Province.

Manuscript Details

• publication_date: 2020-09-01

Relevancy Score

• score: 10
• missing_fields:
  • pixel_size
  • sensitivity
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • power_consumption
  • shutter_speed

Processed JSON Filename

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