scholarly journals Expert System for Monitoring the Malaxing State of the Olive Paste Based on Computer Vision †

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2227
Author(s):  
Diego Martínez Gila ◽  
Pablo Cano Marchal ◽  
Juan Gómez Ortega ◽  
Javier Gámez García
Keyword(s):  
Computer Vision ◽  
Expert System

A portable computer-vision-based expert system for saffron color quality characterization

2017 ◽  
Vol 7 ◽  
pp. 124-130 ◽  
Author(s):  
Saeid Minaei ◽  
Sajad Kiani ◽  
Mahdi Ayyari ◽  
Mahdi Ghasemi-Varnamkhasti
Keyword(s):  
Computer Vision ◽  
Expert System ◽  
Portable Computer ◽  
Color Quality

scholarly journals An Expert System Based on Computer Vision and Statistical Modelling to Support the Analysis of Collagen Degradation

2018 ◽  
Author(s):  
Yaroslava Robles-Bykbaev ◽  
Salvador Naya ◽  
Silvia Díaz Prado ◽  
Daniel Calle-López ◽  
Vladimir Robles-Bykbaev ◽  
...  
Keyword(s):  
Computer Vision ◽  
Expert System ◽  
Statistical Modelling ◽  
Collagen Degradation

Detecting Fabric Defects with Computer Vision and Fuzzy Rule Generation. Part II: Defect Identification by a Fuzzy Expert System

2001 ◽  
Vol 71 (7) ◽  
pp. 563-573 ◽  
Author(s):  
Hyung Taek Choi ◽  
Sung Hoon Jeong ◽  
Sook Rae Kim ◽  
Jae Yun Jaung ◽  
Seong Hun Kim
Keyword(s):  
Computer Vision ◽  
Expert System ◽  
Fuzzy Rule ◽  
Fuzzy Expert System ◽  
Rule Generation ◽  
Defect Identification

Expert system based on computer vision to estimate the content of impurities in olive oil samples

2013 ◽  
Vol 119 (2) ◽  
pp. 220-228 ◽  
Author(s):  
P. Cano Marchal ◽  
D. Martínez Gila ◽  
J. Gámez García ◽  
J. Gómez Ortega
Keyword(s):  
Computer Vision ◽  
Expert System ◽  
Olive Oil

scholarly journals A Survey on Artificial Intelligence Overview

2020 ◽  
Author(s):  
Aggarwal AJuhi ◽  
Shailesh Kumar
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Expert System ◽  
Pattern Matching ◽  
Machine Intelligence ◽  
Human Beings ◽  
Matching Method ◽  
System P ◽  
Wide Range ◽  
Computational Relationship

Artificial Intelligence (AI) is the branch of computer science concerned with the study and creation of computer of computer system are more intelligence than human. Artificial Intelligence programmed by the human beings. We can increase the AI’s capabilities by the supervised and unsupervised teaching. Artificial Intelligence works with pattern matching method which attempts to describe objects, events or process in terms of their qualitative features, logical and computational relationship. AI can also be used to make predications in future. Artificial Intelligence helps people to make their tasks easily and efficiently. Intelligence is the way of thinking and acting upon the environment, this might depend upon the the programming. There is huge difference on the Natural Intelligence (NI), Machine Intelligence (MI) and Artificial Intelligence. There is wide range of application for that ranges from computer vision to expert system.

scholarly journals SISTEM PAKAR PENDIAGNOSA PENYAKIT GINJAL

2011 ◽  
Vol 11 (1) ◽  
pp. 131
Author(s):  
Luther Latumakulita ◽  
Chriestie E. J. C. Montolalu
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Expert System ◽  
Kidney Disease ◽  
Natural Language ◽  
Language Processing ◽  
Neural System ◽  
Development Environment ◽  
Microsoft Access

Sistem pakar merupakan salah satu cabang kecerdasan buatan yang mempelajari bagaimana meniru cara berpikir seorang pakar dalam menyelesaikan suatu permasalahan. Kecerdasan buatan adalah salah satu bidang ilmu komputer yang mendayagunakan komputer sehingga dapat berperilaku cerdas seperti manusia. Ilmu komputer mengembangkan perangkat lunak dan perangkat keras untuk menirukan tindakan manusia. Aktifitas manusia yang ditirukan seperti penalaran, penglihatan, pembelajaran, pemecahan masalah, pemahaman bahasa alami, dan sebagainya. Sesuai definisi, teknologi kecerdasan buatan dipelajari dalam bidang-bidang seperti Robotika (Robotics), Penglihatan Komputer (Computer Vision), Pengolahan Bahasa Alami (Natural Language Processing), Pengenalan Pola (Pattern Recognition), Sistem Syaraf Buatan (Artificial Neural System), Pengenalan Suara (Speech Recognition), dan Sistem pakar (Expert System). Sistem pakar terdiri 2 bagian pokok, yaitu lingkungan pengembangan (development environment) digunakan sebagai pembangun sistem pakar baik dari segi pembangun komponen maupun basis pengetahuan dan lingkungan konsultasi (consultation environment)digunakan oleh seseorang yang bukan ahli untuk berkonsultasi. Lingkungan pengembangan digunakan oleh ES builder untuk membangun komponen dan memasukan penetahuan kedalam basis pengetahuan. Aplikasi Sistem Pakar ini adalah merupakan paket perangkat lunak yang membahas bagaimana cara untuk mendeteksi penyakit ginjal pada manusia. Sistem pakar pendeteksi penyakit ginjal pada manusia ini terdiri atas 2 bagian yaitu : Lingkungan Konsultasi (Development environment) dan Lingkungan Pengembangan (Consultation environment). Bahasa pemrograman yang digunakan untuk membuat aplikasi system pakar ini Microsoft Visual Studio 6.0 dengan databasenya menggunakan Microsoft Access 2003. sesuai dengan bahasa pemrograman yang digunakan maka interface yang akan ditampilkan dalam memberikan informasi bagi user akan berbentuk visual. EXPERT SYSTEM FOR KIDNEY DISEASE DIAGNOSISABSTRACTExpert System (ES) is an artifial intelligence which aplicate a profesional’s way of think in solving a problem. Artificial intelligence is a computer field which move computer to operate as smart as human brain. This computer science develop software and hardware to act like a human. Human activities which modify such as reasoning, vision, learning, problem solving, natural language, etc. Base on that definition, artificial intelligence technologi were improved in many fields such as Robotics, Computer Vision, Natural Language Processing, Pattern Recognition, Artificial Neural System, Speech Recognition, and Expert System. Expert System consist of two main fields: development environment used as expert system builder in component builder and also knowledge base, and consultation builder used by a person who has not ability in in consultation. Development environment used by ES builder to build component and input knowledge in to the knowledge base. This Expert System Aplication is a software sistem, which improve the aplication to detect kidney disease for human. Expert System detection of kidney disease for human consists of two parts: Development environment and Consultation environment.Programming language, which used to build this Expert System aplication, is Microsoft Visual Studio 6.0 with database Microsoft Access 2003. Base on the language programming used, then the interface, to give the information for user, will be shown in visual.

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