SlideShare a Scribd company logo
Simple JP Patent search
Ryosuke TAJIMA / Japanese Patent Attorney
(rtajima.patent@gmail.com)
Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
“G01M11/00, G01N21/47, G01N21/88”
◆ How do I find the prior art related to the following invention?
1. Identify the IPC codes
(⇒4-3)
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
DEVICE FOR EXAMINING THE OPTICAL PROPERTIES OF SURFACES
BACKGROUND
The present invention relates to a device for examining the optical properties of surfaces.
The device will be described below with reference to examining vehicle bodies. However,
reference is made to the fact that other kinds of surfaces may also be examined with the
device of the invention.
Such devices for examining the optical properties of surfaces are known from the prior art.
Generally, these use a light source which emits light to the surface to be examined and a
detector that detects and evaluates the light reflected or diffused off said surface. Such
evaluation allows a determination of the optical properties of surfaces such as color or gloss.
Such determination or characterization is required since motor-vehicle bodies or their
paintwork make different impressions on the human eye depending on the incident light, thus
requiring a neutral characterization.
Lately finishes have been gaining popularity which in particular comprises pigments or so-
called flakes. These pigments or flakes are for instance metal particles statistically
distributed in the layer of finish or its surface. More precisely, metal pigments may consist of
very thin metal flakes acting as miniature reflectors. Standardizing this type of finishes or
measuring the properties of their surfaces creates problems since, depending on the
incidence angle of the light, said pigments exhibit different characteristics and for example
the slightest variation of the viewing angle may already result in a different color or a
different brightness. Among other things manufacturers also use finishes having interference
pigments which, in particular in viewing large surface areas, result in color blending at more or
less precisely specified color changing angles (flop) which may lead to largely different color
perceptions which in turn leads to varying overall impressions of the brightness or the color
of the finished surfaces.
These effects and different perceptions of surfaces caused for example by different densities,
distribution and compositions of finish additives such as flakes or ornamental pigments
cannot be detected with prior art devices since those detectors only supply information on
the composite intensity of the incident light from various positions on the measuring surface
i.e. they integrate intensity without local resolution.
2. Choose the keywords of the invention
“examine”, “optical”, “surface”, “vehicle body”, “reflected
light”, “diffused light”, “finishes”
(⇒4-9)
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
JP patent family
“JP2006-030203”
3. Confirm whether there is a JP patent family
cf) Espacenet (EPO)
https://www.epo.org/searching/free/espacenet.html
(⇒5-4)
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
4-2. Click on “IPC-FI Concordance search”
4. Identify the F-term
4-1. Use the Patent Map Guidance System (PMGS) in J-PlatPat
cf) J-PlatPat (JPO)
https://www.j-platpat.inpit.go.jp/web/all/top/BTmTopEnglishPage
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
Classification = “G01M11/00”
4-3. Input the IPC code
FI = “G01M11/00”
4-4. Identify FI from IPC
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
*FI [File Index] and F-term [File forming term] are Japanese patent classification systems.
It is also noted that FI is based on IPC [International Patent Classification]
4-5. Click on the FI code
Reference etc. = “2G086”
4-6. Identify the Theme code (of the F-term) from FI
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
4-7. Obtain the F-term list
4-8. Conduct the same procedure for different IPC
and obtain other F-term lists
・G01M11/00 ⇒ “2G086”
・G01N21/47 ⇒ “2G059”
・G01N21/88 ⇒ “2G051”
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
4-9. Check the F-term lists and find the appropriate viewpoints
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
5. FI/F-term Search
5-1. Click on “FI/F-term Search”
ex)
“[G01M11/00+G01N21/47+G01N21/88]*2G051AA89
*2G051AB12*2G051CB01”
5-2. Input the FI and F-term codes
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
5-3. Obtain the list of JP patent documents
Confirm whether there is a JP patent family
“JP2006-030203” in the list.
5-4. Validation
Copyright © 2015 Ryosuke TAJIMA All Rights
Reserved.
This list includes the prior art that you are
looking for.

More Related Content

Viewers also liked

[Webinar Slides] How to Plan Your Information Management Strategy in 2017
[Webinar Slides] How to Plan Your Information Management Strategy in 2017[Webinar Slides] How to Plan Your Information Management Strategy in 2017
[Webinar Slides] How to Plan Your Information Management Strategy in 2017
AIIM International
 
Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...
Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...
Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...
BTC CTB
 
Danielle_Domingues_CV.Portfolio2016
Danielle_Domingues_CV.Portfolio2016Danielle_Domingues_CV.Portfolio2016
Danielle_Domingues_CV.Portfolio2016
Danielle Domingues
 
Valencia
ValenciaValencia
Valencia
Saramusica
 
Construir ciudad, construir ciudadania
Construir ciudad, construir ciudadaniaConstruir ciudad, construir ciudadania
Construir ciudad, construir ciudadania
Andrea Ortiz Palacio
 
Presentación accidentes11
Presentación accidentes11Presentación accidentes11
Presentación accidentes11
Kraken Darknes
 
8chava
8chava8chava
Florida Trail: CRS Mud Buddy Bridge
Florida Trail: CRS Mud Buddy BridgeFlorida Trail: CRS Mud Buddy Bridge
Florida Trail: CRS Mud Buddy Bridge
Caroling Wholeo
 

Viewers also liked (8)

[Webinar Slides] How to Plan Your Information Management Strategy in 2017
[Webinar Slides] How to Plan Your Information Management Strategy in 2017[Webinar Slides] How to Plan Your Information Management Strategy in 2017
[Webinar Slides] How to Plan Your Information Management Strategy in 2017
 
Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...
Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...
Maitrise de l'eau dans un contexte de changement climatique en zone sahélienn...
 
Danielle_Domingues_CV.Portfolio2016
Danielle_Domingues_CV.Portfolio2016Danielle_Domingues_CV.Portfolio2016
Danielle_Domingues_CV.Portfolio2016
 
Valencia
ValenciaValencia
Valencia
 
Construir ciudad, construir ciudadania
Construir ciudad, construir ciudadaniaConstruir ciudad, construir ciudadania
Construir ciudad, construir ciudadania
 
Presentación accidentes11
Presentación accidentes11Presentación accidentes11
Presentación accidentes11
 
8chava
8chava8chava
8chava
 
Florida Trail: CRS Mud Buddy Bridge
Florida Trail: CRS Mud Buddy BridgeFlorida Trail: CRS Mud Buddy Bridge
Florida Trail: CRS Mud Buddy Bridge
 

Similar to Simple JP patent search

[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램
[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램
[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램
JEONG HAN Eom
 
Robotic Arms
Robotic ArmsRobotic Arms
Robotic Arms
Gridlogics
 
GaN Technology Top-100 IP profiles - Sample
GaN Technology Top-100 IP profiles - SampleGaN Technology Top-100 IP profiles - Sample
GaN Technology Top-100 IP profiles - Sample
Knowmade
 
FOWLP Patent Analysis 2012 Report by Yole Developpement
FOWLP Patent Analysis 2012 Report by Yole DeveloppementFOWLP Patent Analysis 2012 Report by Yole Developpement
FOWLP Patent Analysis 2012 Report by Yole Developpement
Yole Developpement
 
Fusion UV Spectrum Newsletter - Summer 2009
Fusion UV Spectrum Newsletter - Summer 2009Fusion UV Spectrum Newsletter - Summer 2009
Fusion UV Spectrum Newsletter - Summer 2009
B2B Marketing Source, LLC
 
Summer 2014: M&P, Materials Lab
Summer 2014: M&P, Materials LabSummer 2014: M&P, Materials Lab
Summer 2014: M&P, Materials Lab
Kahdeem Cohens
 
IRJET- Design and Fabrication of Magnetorheological Brake
IRJET-  	  Design and Fabrication of Magnetorheological BrakeIRJET-  	  Design and Fabrication of Magnetorheological Brake
IRJET- Design and Fabrication of Magnetorheological Brake
IRJET Journal
 
Patent database
Patent databasePatent database
Patent database
Pallavi Belkar
 
CIRTEMO_Overview_with hyperspectral example-Pre-NDA
CIRTEMO_Overview_with hyperspectral example-Pre-NDACIRTEMO_Overview_with hyperspectral example-Pre-NDA
CIRTEMO_Overview_with hyperspectral example-Pre-NDA
Jason Williamson
 
Global photolithography equipment market size, share & market forecast 2026
Global photolithography equipment market size, share & market forecast 2026Global photolithography equipment market size, share & market forecast 2026
Global photolithography equipment market size, share & market forecast 2026
TechSci Research
 
Intellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company OverviewIntellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company Overview
EPatents IP Services
 
Flange Solution Suite_A4
Flange Solution Suite_A4Flange Solution Suite_A4
Flange Solution Suite_A4
Imaginos NDE
 
The Knock Knock Protocol
The Knock Knock ProtocolThe Knock Knock Protocol
The Knock Knock Protocol
adil raja
 
02-11-05
02-11-0502-11-05
02-11-05
webuploader
 
2010 Patent Information
2010 Patent Information2010 Patent Information
2010 Patent Information
smallhead
 
6 ie 2015 patent roi
6   ie 2015 patent roi6   ie 2015 patent roi
6 ie 2015 patent roi
Maggie Nichols
 
Patent investigation on LED phosphors and down-converters
Patent investigation on LED phosphors and down-convertersPatent investigation on LED phosphors and down-converters
Patent investigation on LED phosphors and down-converters
Knowmade
 
2015 deep research report on global optically functional films and coatings i...
2015 deep research report on global optically functional films and coatings i...2015 deep research report on global optically functional films and coatings i...
2015 deep research report on global optically functional films and coatings i...
Research Hub
 
Effects of Various Material Infiltrants in Sls Process
Effects of Various Material Infiltrants in Sls ProcessEffects of Various Material Infiltrants in Sls Process
Effects of Various Material Infiltrants in Sls Process
theijes
 
B031102010017
B031102010017B031102010017
B031102010017
theijes
 

Similar to Simple JP patent search (20)

[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램
[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램
[BLT] 가치에 기반한 기술거래 및 이전기술 활용지원 프로그램
 
Robotic Arms
Robotic ArmsRobotic Arms
Robotic Arms
 
GaN Technology Top-100 IP profiles - Sample
GaN Technology Top-100 IP profiles - SampleGaN Technology Top-100 IP profiles - Sample
GaN Technology Top-100 IP profiles - Sample
 
FOWLP Patent Analysis 2012 Report by Yole Developpement
FOWLP Patent Analysis 2012 Report by Yole DeveloppementFOWLP Patent Analysis 2012 Report by Yole Developpement
FOWLP Patent Analysis 2012 Report by Yole Developpement
 
Fusion UV Spectrum Newsletter - Summer 2009
Fusion UV Spectrum Newsletter - Summer 2009Fusion UV Spectrum Newsletter - Summer 2009
Fusion UV Spectrum Newsletter - Summer 2009
 
Summer 2014: M&P, Materials Lab
Summer 2014: M&P, Materials LabSummer 2014: M&P, Materials Lab
Summer 2014: M&P, Materials Lab
 
IRJET- Design and Fabrication of Magnetorheological Brake
IRJET-  	  Design and Fabrication of Magnetorheological BrakeIRJET-  	  Design and Fabrication of Magnetorheological Brake
IRJET- Design and Fabrication of Magnetorheological Brake
 
Patent database
Patent databasePatent database
Patent database
 
CIRTEMO_Overview_with hyperspectral example-Pre-NDA
CIRTEMO_Overview_with hyperspectral example-Pre-NDACIRTEMO_Overview_with hyperspectral example-Pre-NDA
CIRTEMO_Overview_with hyperspectral example-Pre-NDA
 
Global photolithography equipment market size, share & market forecast 2026
Global photolithography equipment market size, share & market forecast 2026Global photolithography equipment market size, share & market forecast 2026
Global photolithography equipment market size, share & market forecast 2026
 
Intellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company OverviewIntellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company Overview
 
Flange Solution Suite_A4
Flange Solution Suite_A4Flange Solution Suite_A4
Flange Solution Suite_A4
 
The Knock Knock Protocol
The Knock Knock ProtocolThe Knock Knock Protocol
The Knock Knock Protocol
 
02-11-05
02-11-0502-11-05
02-11-05
 
2010 Patent Information
2010 Patent Information2010 Patent Information
2010 Patent Information
 
6 ie 2015 patent roi
6   ie 2015 patent roi6   ie 2015 patent roi
6 ie 2015 patent roi
 
Patent investigation on LED phosphors and down-converters
Patent investigation on LED phosphors and down-convertersPatent investigation on LED phosphors and down-converters
Patent investigation on LED phosphors and down-converters
 
2015 deep research report on global optically functional films and coatings i...
2015 deep research report on global optically functional films and coatings i...2015 deep research report on global optically functional films and coatings i...
2015 deep research report on global optically functional films and coatings i...
 
Effects of Various Material Infiltrants in Sls Process
Effects of Various Material Infiltrants in Sls ProcessEffects of Various Material Infiltrants in Sls Process
Effects of Various Material Infiltrants in Sls Process
 
B031102010017
B031102010017B031102010017
B031102010017
 

More from Tajima Ryosuke

グッドデザインのソフトウェア特許
グッドデザインのソフトウェア特許グッドデザインのソフトウェア特許
グッドデザインのソフトウェア特許
Tajima Ryosuke
 
AI関連発明の事例研究(検討用ver.1)
AI関連発明の事例研究(検討用ver.1)AI関連発明の事例研究(検討用ver.1)
AI関連発明の事例研究(検討用ver.1)
Tajima Ryosuke
 
弁理士が知っておきたいPython①
弁理士が知っておきたいPython①弁理士が知っておきたいPython①
弁理士が知っておきたいPython①
Tajima Ryosuke
 
外国特許出願の自発補正
外国特許出願の自発補正外国特許出願の自発補正
外国特許出願の自発補正
Tajima Ryosuke
 
Patent landscape of blockchain in us and jp
Patent landscape of blockchain in us and jpPatent landscape of blockchain in us and jp
Patent landscape of blockchain in us and jp
Tajima Ryosuke
 
特許の補正の判例_日・米・欧・中
特許の補正の判例_日・米・欧・中特許の補正の判例_日・米・欧・中
特許の補正の判例_日・米・欧・中
Tajima Ryosuke
 
Apple v Samsung 2016
Apple v Samsung 2016Apple v Samsung 2016
Apple v Samsung 2016
Tajima Ryosuke
 

More from Tajima Ryosuke (7)

グッドデザインのソフトウェア特許
グッドデザインのソフトウェア特許グッドデザインのソフトウェア特許
グッドデザインのソフトウェア特許
 
AI関連発明の事例研究(検討用ver.1)
AI関連発明の事例研究(検討用ver.1)AI関連発明の事例研究(検討用ver.1)
AI関連発明の事例研究(検討用ver.1)
 
弁理士が知っておきたいPython①
弁理士が知っておきたいPython①弁理士が知っておきたいPython①
弁理士が知っておきたいPython①
 
外国特許出願の自発補正
外国特許出願の自発補正外国特許出願の自発補正
外国特許出願の自発補正
 
Patent landscape of blockchain in us and jp
Patent landscape of blockchain in us and jpPatent landscape of blockchain in us and jp
Patent landscape of blockchain in us and jp
 
特許の補正の判例_日・米・欧・中
特許の補正の判例_日・米・欧・中特許の補正の判例_日・米・欧・中
特許の補正の判例_日・米・欧・中
 
Apple v Samsung 2016
Apple v Samsung 2016Apple v Samsung 2016
Apple v Samsung 2016
 

Recently uploaded

ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024
Rahul
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
KrishnaveniKrishnara1
 
Exception Handling notes in java exception
Exception Handling notes in java exceptionException Handling notes in java exception
Exception Handling notes in java exception
Ratnakar Mikkili
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
SUTEJAS
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
kandramariana6
 
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptxManufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
Madan Karki
 
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSA SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
IJNSA Journal
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
nooriasukmaningtyas
 
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
insn4465
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
gestioneergodomus
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IJECEIAES
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
MIGUELANGEL966976
 
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdfbasic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
NidhalKahouli2
 
CSM Cloud Service Management Presentarion
CSM Cloud Service Management PresentarionCSM Cloud Service Management Presentarion
CSM Cloud Service Management Presentarion
rpskprasana
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
camseq
 
digital fundamental by Thomas L.floydl.pdf
digital fundamental by Thomas L.floydl.pdfdigital fundamental by Thomas L.floydl.pdf
digital fundamental by Thomas L.floydl.pdf
drwaing
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
gerogepatton
 
Series of visio cisco devices Cisco_Icons.ppt
Series of visio cisco devices Cisco_Icons.pptSeries of visio cisco devices Cisco_Icons.ppt
Series of visio cisco devices Cisco_Icons.ppt
PauloRodrigues104553
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
jpsjournal1
 

Recently uploaded (20)

ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
 
Exception Handling notes in java exception
Exception Handling notes in java exceptionException Handling notes in java exception
Exception Handling notes in java exception
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
 
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptxManufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
 
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSA SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
 
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
 
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdfbasic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
 
CSM Cloud Service Management Presentarion
CSM Cloud Service Management PresentarionCSM Cloud Service Management Presentarion
CSM Cloud Service Management Presentarion
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
 
digital fundamental by Thomas L.floydl.pdf
digital fundamental by Thomas L.floydl.pdfdigital fundamental by Thomas L.floydl.pdf
digital fundamental by Thomas L.floydl.pdf
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
 
Series of visio cisco devices Cisco_Icons.ppt
Series of visio cisco devices Cisco_Icons.pptSeries of visio cisco devices Cisco_Icons.ppt
Series of visio cisco devices Cisco_Icons.ppt
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
 

Simple JP patent search

  • 1. Simple JP Patent search Ryosuke TAJIMA / Japanese Patent Attorney (rtajima.patent@gmail.com) Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 2. “G01M11/00, G01N21/47, G01N21/88” ◆ How do I find the prior art related to the following invention? 1. Identify the IPC codes (⇒4-3) Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 3. DEVICE FOR EXAMINING THE OPTICAL PROPERTIES OF SURFACES BACKGROUND The present invention relates to a device for examining the optical properties of surfaces. The device will be described below with reference to examining vehicle bodies. However, reference is made to the fact that other kinds of surfaces may also be examined with the device of the invention. Such devices for examining the optical properties of surfaces are known from the prior art. Generally, these use a light source which emits light to the surface to be examined and a detector that detects and evaluates the light reflected or diffused off said surface. Such evaluation allows a determination of the optical properties of surfaces such as color or gloss. Such determination or characterization is required since motor-vehicle bodies or their paintwork make different impressions on the human eye depending on the incident light, thus requiring a neutral characterization. Lately finishes have been gaining popularity which in particular comprises pigments or so- called flakes. These pigments or flakes are for instance metal particles statistically distributed in the layer of finish or its surface. More precisely, metal pigments may consist of very thin metal flakes acting as miniature reflectors. Standardizing this type of finishes or measuring the properties of their surfaces creates problems since, depending on the incidence angle of the light, said pigments exhibit different characteristics and for example the slightest variation of the viewing angle may already result in a different color or a different brightness. Among other things manufacturers also use finishes having interference pigments which, in particular in viewing large surface areas, result in color blending at more or less precisely specified color changing angles (flop) which may lead to largely different color perceptions which in turn leads to varying overall impressions of the brightness or the color of the finished surfaces. These effects and different perceptions of surfaces caused for example by different densities, distribution and compositions of finish additives such as flakes or ornamental pigments cannot be detected with prior art devices since those detectors only supply information on the composite intensity of the incident light from various positions on the measuring surface i.e. they integrate intensity without local resolution. 2. Choose the keywords of the invention “examine”, “optical”, “surface”, “vehicle body”, “reflected light”, “diffused light”, “finishes” (⇒4-9) Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 4. JP patent family “JP2006-030203” 3. Confirm whether there is a JP patent family cf) Espacenet (EPO) https://www.epo.org/searching/free/espacenet.html (⇒5-4) Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 5. 4-2. Click on “IPC-FI Concordance search” 4. Identify the F-term 4-1. Use the Patent Map Guidance System (PMGS) in J-PlatPat cf) J-PlatPat (JPO) https://www.j-platpat.inpit.go.jp/web/all/top/BTmTopEnglishPage Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 6. Classification = “G01M11/00” 4-3. Input the IPC code FI = “G01M11/00” 4-4. Identify FI from IPC Copyright © 2015 Ryosuke TAJIMA All Rights Reserved. *FI [File Index] and F-term [File forming term] are Japanese patent classification systems. It is also noted that FI is based on IPC [International Patent Classification]
  • 7. 4-5. Click on the FI code Reference etc. = “2G086” 4-6. Identify the Theme code (of the F-term) from FI Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 8. 4-7. Obtain the F-term list 4-8. Conduct the same procedure for different IPC and obtain other F-term lists ・G01M11/00 ⇒ “2G086” ・G01N21/47 ⇒ “2G059” ・G01N21/88 ⇒ “2G051” Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 9. 4-9. Check the F-term lists and find the appropriate viewpoints Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 10. 5. FI/F-term Search 5-1. Click on “FI/F-term Search” ex) “[G01M11/00+G01N21/47+G01N21/88]*2G051AA89 *2G051AB12*2G051CB01” 5-2. Input the FI and F-term codes Copyright © 2015 Ryosuke TAJIMA All Rights Reserved.
  • 11. 5-3. Obtain the list of JP patent documents Confirm whether there is a JP patent family “JP2006-030203” in the list. 5-4. Validation Copyright © 2015 Ryosuke TAJIMA All Rights Reserved. This list includes the prior art that you are looking for.