A Web-Based Intelligent System for Used-Oil Analysis

2005 ◽  
Author(s):  
Jianchun Fan ◽  
Xuehong Zhao ◽  
Laibin Zhan
Keyword(s):  
Wear Debris ◽  
Intelligent System ◽  
Wear Particle ◽  
Oil Analysis ◽  
Test Results ◽  
Web Based ◽  
Intelligence System ◽  
Used Oil ◽  
Intelligent Software ◽  
Inspection Condition

The analysis of oil in an operating machine is considered as a very useful means to assess the condition of the machine. However, classical techniques of oil analysis are strongly dependent on the analyst’s expertise to perform wear particle inspection, condition classification, colligation of the test results by ferrography, AES. and physical or chemical detection and interpretation of the possible existing faults in a machine. To solve these problems and realize the intelligence of oil analysis, a Web-based intelligence system for oil analysis has been devised. This system is composed of an automatic ferroscope controlled by a computer to obtain improved wear debris images, a platform to process the images and to connect the field analyst with the experts in machine diagnosis through internet and an intelligent software platform to evaluate the tribological conditions and diagnose the faults. Furthermore, some intelligent diagnosis methods used in the system are introduced.

Condition Monitoring of a Single Cylinder Engine Running on Gasoline and Gasoline-Ethanol Blend Using Wear Particle Analysis Technique

2013 ◽  
Author(s):  
Sayed Y. Akl ◽  
Ahmed A. Abdel-Rehim
Keyword(s):  
Wear Rate ◽  
Internal Combustion Engines ◽  
Wear Particle ◽  
Predictive Maintenance ◽  
Particle Analysis ◽  
Moderate Increase ◽  
Oil Analysis ◽  
Wear Particle Analysis ◽  
Used Oil ◽  
Analysis Technique

Analytical techniques performed on oil samples for lubricated machines can be classified in two categories; used oil analysis and wear particle analysis. Used oil analysis determines the condition of the lubricant itself, determines the quality of the lubricant, and checks its suitability for continued use. Wear particle analysis determines the mechanical condition of machine components that are lubricated. Through wear particle analysis, you can identify the composition of the solid material present and evaluate particle type, size, concentration, distribution, and morphology, thus indicating the machine condition and its predictive maintenance. The above mentioned techniques are suitable methods for the detection of abnormal wear occurring in internal combustion engines, especially for engines running on different fuels. These techniques provide cheap, fast and easy to use predictive maintenance methods which can replace other conventional methods. The objective of the present study is to apply wear particle analysis technique as an engine monitoring technique to compare two new and identical engines running on gasoline (Engine 1) and gasoline-ethanol blend (Engine 2). The two engines were tested for a total running period of 850 hours. Spectrometric and ferrographic analysis were used for the comparison where quantitative and qualitative changes in the concentration and size distribution of different particles were analyzed and compared to baseline values. Results showed an increase of wear rate for the engine running on gasoline-ethanol blend compared to the engine running on gasoline only. Two contents of ethanol were used where 10% content showed a moderate increase of wear rate; however 20% content showed a dramatic increase of wear rate. The predominant wear particles were the ferrous particles and aluminum particles indicating the wear of piston elements and piston rings. Corrosive wear was also highly remarked which indicates a chemical reaction in the presence of ethanol.

Research on the expression of new visual intelligence system based on machine learning technology

2021 ◽  
pp. 1-9
Author(s):  
Zuoshan Li
Keyword(s):  
Machine Learning ◽  
Intelligent System ◽  
Science And Technology ◽  
Learning Technology ◽  
3D Animation ◽  
Motion Data ◽  
Intelligence System ◽  
New Science ◽  
Continuous Progress ◽  
Internet Of Things Technology

With the continuous progress of society, the level of science and technology of the country has made a leap forward development, the research energy of various industries on new science and technology continues to deepen, greatly promoting the promotion of science and technology. At the same time, with the increase in social pressure, more and more people pursue spiritual relaxation, and appropriate leisure and entertainment activities have gradually become a part of people’s life. Film plays an irreplaceable role in leisure and entertainment. Mainly from the background of the development of the film industry towards intelligent direction, and then use machine learning technology to study the application of film animation production and film virtual assets analysis and investigation. Based on the Internet of things technology, we also vigorously develop the ways and methods of visual expression of movies, and at the same time introduce new expression modes to promote the expression effect of the intelligent system. Finally, by comparing various algorithms in machine learning technology, the results of intelligent expression of random number forest algorithm in machine learning technology are more accurate. The system is also applied to 3D animation production to observe the measurement error of 3D motion data and facial expression data.

scholarly journals Development of a Web-Based Query Tool for Quality Assurance of Clinical Molecular Genetic Test Results

2007 ◽  
Vol 9 (1) ◽  
pp. 95-98 ◽  
Author(s):  
Matthew J. McGinniss ◽  
Rebecca Chen ◽  
Victoria M. Pratt ◽  
Arlene Buller ◽  
Franklin Quan ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Genetic Test ◽  
Molecular Genetic ◽  
Test Results ◽  
Web Based ◽  
Genetic Test Results ◽  
Query Tool ◽  
Molecular Genetic Test

Implementasi Metode Unsupervised Learning Pada Sistem Keamanan Dengan Optimalisasi Penyimpanan Kamera IP

2021 ◽  
Vol 5 (6) ◽  
pp. 1099-1105
Author(s):  
Desta Yolanda ◽  
Mohammad Hafiz Hersyah ◽  
Eno Marozi
Keyword(s):  
Unsupervised Learning ◽  
Night Vision ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Test Results ◽  
Storage Process ◽  
File Size ◽  
Web Based ◽  
Security Monitoring ◽  
Human Faces

Security monitoring systems using face recognition can be applied to CCTV or IP cameras. This is intended to improve the security system and make it easier for users to track criminals is theft. The experiment was carried out by detecting human faces for 24 hours using different cameras, namely an HD camera that was active during the day and a Night Vision camera that was active at night. The application of Unsupervised Learning method with the concept of an image cluster, aims to distinguish the faces of known or unknown people according to the dataset built in the Raspberry Pi 4. The user interface media of this system is a web-based application built with Python Flask and Python MySQL. This application can be accessed using the domain provided by the IP Forwarding device which can be accessed anywhere. According to the test results on optimization of storage, the system is able to save files only when a face is detected with an average file size of ± 2.28 MB for 1x24 hours of streaming. So that this storage process becomes more efficient and economical compared to the storage process for CCTV or IP cameras in general.

scholarly journals A simple method of suspending implant wear particles for more physiological modelling of cell-particle interactions in vitro

2021 ◽  
Author(s):  
Christine Poon
Keyword(s):  
Wear Debris ◽  
Culture Media ◽  
Polymeric Materials ◽  
Wear Particle ◽  
Physicochemical Characteristics ◽  
Wear Particles ◽  
Simple Method ◽  
Implant Wear

AbstractArthroplasty implants e.g. hip, knee, spinal disc sustain relatively high compressive loading and friction wear, which lead to the formation of wear particles or debris between articulating surfaces. Despite advances in orthopaedic materials and surface treatments, the production of wear debris from any part of a joint arthroplasty implant is currently unavoidable. Implant wear debris induces host immune responses and inflammation, which causes patient pain and ultimately implant failure through progressive inflammation-mediated osteolysis and implant loosening, where the severity and rate of periprosthetic osteolysis depends on the material and physicochemical characteristics of the wear particles. Evaluating the cytotoxicity of implant wear particles is important for regulatory approved clinical application of arthroplasty implants, as is the study of cell-particle response pathways. However, the wear particles of polymeric materials commonly used for arthroplasty implants tend to float when placed in culture media, which limits their contact with cell cultures. This study reports a simple means of suspending wear particles in liquid medium using sodium carboxymethyl cellulose (NaCMC) to provide a more realistic proxy of the interaction between cells and tissues to wear particles in vivo, which are free-floating in synovial fluid within the joint cavity. Low concentrations of NaCMC dissolved in culture medium were found to be effective for suspending polymeric wear particles. Such suspensions may be used as more physiologically-relevant means for testing cellular responses to implant wear debris, as well as studying the combinative effects of shear and wear particle abrasion on cells in a dynamic culture environments such as perfused tissue-on-chip devices.

scholarly journals A Distributed and Collaborative Intelligent System for Medical Diagnosis

2013 ◽  
Vol 2 (2) ◽  
pp. 1-16
Author(s):  
Naoufel Khayati ◽  
Wided Lejouad-Chaari
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Intelligent System ◽  
Distributed Environment ◽  
Web Based ◽  
Knowledge Based ◽  
Technological Advances ◽  
And Control ◽  
Control Complex

In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.

scholarly journals SISTEM INFORMASI PENILAIAN PROPOSAL SKRIPSI BERBASIS WEB DI FAKULTAS TEKNOLOGI INFORMASI UNIVERSITAS ISLAM KALIMANTAN MUHAMMMAD ARSYAD AL BANJARI BANJARMASIN

INFO-TEKNIK ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 35
Author(s):  
Silvia Ratna
Keyword(s):  
Information Technology ◽  
Information System ◽  
Evaluation Process ◽  
Test Results ◽  
Web Based ◽  
Research Implementation ◽  
Final Project ◽  
Evaluation Information

Implementation of the final project or thesis for students is a tiered process and bound to one another. Starting from the stage of proposal submission, proposal presentation, research implementation, report making up to thesis examination students. At present, the implementation of the thesis trial evaluation at the Information Technology Faculty of the Islamic University of Kalimantan Muhammad Arsyad Al Banjari Banjarmasin is still manual, where when the presentation of proposals and panelists thesis examinations or examiners are given an assessment form using paper media. This assessment form is then recapitulated into a spreadsheet form the results are announced to students. This is less effective, especially when many students take thesis courses. For this reason, in this study, a thesis evaluation information system was created, to help all stages of the thesis evaluation process. To facilitate the accessibility of the system made web-based and integrated with existing academic systems. From the test results concluded, the system can run by the design and reports produced by the system following the processes that are running now.

scholarly journals Become A Star: Teaching the Process of Design and Implementation of an Intelligent System

10.28945/2894 ◽  
2005 ◽  
Author(s):  
Anne Venables ◽  
Grace Tan
Keyword(s):  
Intelligent Systems ◽  
Knowledge Engineering ◽  
Intelligent System ◽  
Development Project ◽  
Project Manager ◽  
Domain Experts ◽  
Software Development Project ◽  
Intelligent Software ◽  
Practical Experiences ◽  
Complete Process

Teaching future knowledge engineers, the necessary skills for designing and implementing intelligent software solutions required by business, industry and research today, is a very tall order. These skills are not easily taught in traditional undergraduate computer science lectures; nor are the practical experiences easily reinforced in laboratory sessions. In an attempt to address this issue, a software development project, designed to take students through a complete process of knowledge engineering, was introduced in an undergraduate Intelligent Systems subject. In this project, students were required to act as domain experts, knowledge engineers, programmers, end users and project manager in the production of a game-playing expert system. The paper describes the project, its objectives and development, as well as some of the benefits.

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