Selecting A Cmos Sensor By Using A Fuzzy Mcdm Framework

• doi: 10.1109/ICSSE.2010.5551773
• title: Selecting a CMOS sensor by using a fuzzy MCDM framework
• publisher: IEEE
• isbn: 978-1-4244-6473-9
• issn: 2325-0925
• partnum: 10EX4275
• rank: 3506
• access_type: LOCKED
• content_type: Conferences
• abstract: Complementary Metal Oxide Semiconductor (CMOS) Image Sensors (CISs) emerged in the past decade due to the advantages of lower power consumption and easier integration with CMOS integrated circuits (ICs) in comparison to the traditional Charged Coupled Devices (CCD). The CIS has further become the major optical component of embedded camera modules of notebook computers in the internet era. Albeit important, embedded camera module vendors usually have difficulties for selecting a suitable CIS to fulfill both goals, time to market and profitability. Thus, this research intends to develop a fuzzy multiple criteria decision making (FMCDM) method based framework which can assist the embedded camera module vendors make timely and correct decisions. At first, criteria for evaluating the CIS will first be summarized by literature review and then evaluated by using the brain storming method. Weights versus each criterion will be derived by using the Analytic Hierarchical Process (AHP). For each criterion, the linguistic variable based performance scores versus each alternative will be evaluated and transferred to crisp numbers by using the triangular function. Finally, evaluation results toward each alternative will be derived by using the Simple Added Weighting (SAW) method. An empirical study will demonstrate the feasibility of this proposed FMCDM by a real world notebook (NB) computer built-in camera module sensor selection in a Taiwan based optical device manufacturer. Further, the result can serve as a basis for built-in camera module vendors' selections of CISs.
• article_number: 5551773
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5551773
• html_url: https://ieeexplore.ieee.org/document/5551773/
• abstract_url: https://ieeexplore.ieee.org/document/5551773/
• publication_title: 2010 International Conference on System Science and Engineering
• conference_location: Taipei, Taiwan
• conference_dates: 1-3 July 2010
• publication_number: 5540658
• is_number: 5551700
• publication_year: 2010
• publication_date: 1-3 July 2010
• start_page: 119
• end_page: 123
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 150
• insert_date: 20100819
• index_terms:
  • ieee_terms:
    • Image color analysis
    • Optical imaging
    • Optical sensors
    • Heating
    • Biomedical optical imaging
    • Niobium
  • author_terms:
    • CMOS image sensor (CIS)
    • CCD
    • Integrated Circuit
    • SOC
    • built-in camera module
    • Fuzzy Multiple Criteria Decision Making
  • dynamic_index_terms:
    • Fuzzy MCDM
    • Decision-making
    • CCD Camera
    • Charge-coupled Device
    • Power Consumption
    • Age Of Information
    • Digital Age
    • Notebook
    • Image Sensor
    • Camera Sensor
    • Linguistic Diversity
    • Linguistic Variables
    • Brainstorming
    • Optical Components
    • Correct Decisions
    • Correct Conclusions
    • Easy Integration
    • Triangular Function
    • Triangle Function
    • Fuzzy Decision
    • Built-in Module
    • Camera Module
    • Pairwise Comparisons
    • Image Quality
    • Central Area
    • Synthetic Value
    • Fuzzy Numbers
    • Supplier Selection
    • Inventory Control
    • Stock Control
    • Fuzzy Environment
    • Thermal Radiation
    • Radiative Heat Transfer
    • Radiative Heat
    • Fuzzy Variables
    • Fuzzy Set
    • Fuzzing
    • Membership Degree
    • System Hierarchy
    • Triangular Fuzzy Numbers
• isbn_formats:
  • format: CD, value: 978-1-4244-6473-9, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-6472-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4244-6474-6, isbnType: New-2005
• authors:
  • Author Name: Chi-Yo Huang
    Affiliation: Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37087394204
    ID: 37087394204
    Order: 1
    Author Affiliations:
    • Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan
  • Author Name: Min-Cheng Hung
    Affiliation: Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37087394671
    ID: 37087394671
    Order: 2
    Author Affiliations:
    • Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan
  • Author Name: Ting-Lin Jhu
    Affiliation: Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37087394600
    ID: 37087394600
    Order: 3
    Author Affiliations:
    • Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan
  • Author Name: Gwo-Hshiung Tzeng
    Affiliation: Institute of Project Management, Kainan University, Taoyuan, Taiwan
    Author URL: https://ieeexplore.ieee.org/author/37294869800
    ID: 37294869800
    Order: 4
    Author Affiliations:
    • Institute of Project Management, Kainan University, Taoyuan, Taiwan

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

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

Performance Metrics

Applications & Benefits

• cell_imaging: Not specified
• benefits: Not specified

Supporting Organizations

• supported_by: Taiwan National Science Council

Manuscript Details

• publication_date: 1-3 July 2010

Relevancy Score

• score: 10
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits

Processed JSON Filename

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