An expert system is a computer program that uses artificial intelligence to solve complex problems in a specialized domain that usually requires human expertise. It consists of a knowledge base containing facts and rules, an inference engine that applies the rules to the facts to deduce solutions, and a user interface. For example, a medical diagnosis expert system allows a user to diagnose their disease based on their symptoms by checking the system's knowledge base of symptoms and their associated diseases. The knowledge base is developed by interviewing human experts and representing their knowledge as if-then rules. The inference engine uses forward or backward chaining to match the user's inputs to the rules and deduce the most likely diagnosis. The user interface then communicates the system's diagnosis and explanation to
This paper details the use of Electroencephalography, a methodology commonly applied for
medical purposes such as in detection of mental disorders and in upcoming technological research areas like BCI
(Brain Computer Interfaces), is now re-purposed to use in the Manufacturing sector to reduce the risk of error
and anomalies. Manufacturing involves many tasks that require mental alertness of an operator who supervises a
particular process, failure to do this, might leave unchecked errors in the finished product. Fatigue could lead to
serious consequences to health of the worker and may also lead to on-job accidents. To minimize possibility of
such instances, a study has been conducted to measure and find ways to tackle issues of mental fatigue. To
quantify the study, we have taken the case study of Pharmaceutical Sector where this kind of study might have
some impact. [3] The study reveals that workers doings tasks that require high alertness develop fatigue earlier
than anticipated, and therefore need frequent rotation from such activities.
This paper details the use of Electroencephalography, a methodology commonly applied for
medical purposes such as in detection of mental disorders and in upcoming technological research areas like BCI
(Brain Computer Interfaces), is now re-purposed to use in the Manufacturing sector to reduce the risk of error
and anomalies. Manufacturing involves many tasks that require mental alertness of an operator who supervises a
particular process, failure to do this, might leave unchecked errors in the finished product. Fatigue could lead to
serious consequences to health of the worker and may also lead to on-job accidents. To minimize possibility of
such instances, a study has been conducted to measure and find ways to tackle issues of mental fatigue. To
quantify the study, we have taken the case study of Pharmaceutical Sector where this kind of study might have
some impact. [3] The study reveals that workers doings tasks that require high alertness develop fatigue earlier
than anticipated, and therefore need frequent rotation from such activities.
Plug In Generator To Produce Variant Outputs For Unique Data.IJRES Journal
Our modern world comprising of abundant chronic diseases which are affecting humankind, awful thing is that they affect the people without being notified until the end. In this project we proposed a system in which the user identifies the disease by providing the symptoms which he is experiencing. The user selects the multiple symptoms which he/she is suffering and submits them for evaluation using String Matching System. The database consists of limited number of diseases, with well organized pattern structure of symptoms. Using a friendly interface, user can input the data in the questionnaire form developed. Artificial Bee Colony Optimization [ABC] algorithm, i.e., a Machine Learning algorithm embedded in the project provides an optimistic disease along with its prevention and curing methods, but before ABC produces optimistic disease, String Matching System approach gives an accurate disease with which the human is suffering from. The above said data transformed into web can be considered as an offline browsing system which can be used by any educated personalities, to generally know what is happening and gets enough idea before visiting the practitioner.
Research on Multidimensional Expert System Based on Facial Expression And Phy...IJRESJOURNAL
ABSTRACT: ES (expert system) is a branch of the field of artificial intelligence ,which is the most important and the most active. It is a kind of computer intelligent system with a large number of special knowledge. It is provide d knowledge and experience by one or more experts in some fields. This expert system simulates the decision-making process of human expert through deductive reasoning and judgment. Through the investigation of several large hospitals, there is not an expert system for clinical application. The general medical diagnosis expert system knowledge base is based on the parameters of vital signs, The accuracy of medical diagnosis is very difficult to improve. When the facial expression was embedded in the construction of knowledge base, whole system is closer to the process of clinical diagnosis. The result shows that this method achieves higher diagnosis accuracy rate. The reasoning process of the system mainly includes two parts : Firstly through the video and digital image processing technology to get facial features, the inference as before; Secondly, the inference in the previous step is associated with the physiological parameters from the database and make the final diagnosis result.
Information Retrieval from Emotions and Eye Blinks with help of Sensor Nodes IJECEIAES
In everyday life, there are situations where the only way to communicate are emotions. EMOTICONS are the epitome of the same. This aspect of communication can also be used in emergency situations (terrorist attacks, hijacks) where the only way to communicate is by performing some extraordinary actions or through some emotions. Incorporating technology to the above mentioned circumstances the paper proposes a novel framework of detecting an emergency situation by retrieving information from emotions and eye blinks using sensor nodes. The proposed framework can be deployed in places (hotels, banks, airports etc.) which are more suspected to attacks. The framework takes input from real time parameters: eye blinks, emotions, heart rate. Based on behavioral changes, biological changes and physical changes the proposed framework extracts meticulous information. The proposed framework is further validated through implementation of a facial emotion recognition system that successfully recognizes various human emotions. The facial emotion recognition system of the proposed framework is compared with existing SVM technique in terms of accuracy, training and testing error. Accuracy with the proposed system is increased to 78.40% in comparison with existing SVM that is 75.37% and the training error is decreased to 0.004103 whereas with the existing SVM method training error is 0.008935.
This paper details the use of Electroencephalography, a methodology commonly applied for
medical purposes such as in detection of mental disorders and in upcoming technological research areas like BCI
(Brain Computer Interfaces), is now re-purposed to use in the Manufacturing sector to reduce the risk of error
and anomalies. Manufacturing involves many tasks that require mental alertness of an operator who supervises a
particular process, failure to do this, might leave unchecked errors in the finished product. Fatigue could lead to
serious consequences to health of the worker and may also lead to on-job accidents. To minimize possibility of
such instances, a study has been conducted to measure and find ways to tackle issues of mental fatigue. To
quantify the study, we have taken the case study of Pharmaceutical Sector where this kind of study might have
some impact. [3] The study reveals that workers doings tasks that require high alertness develop fatigue earlier
than anticipated, and therefore need frequent rotation from such activities.
This paper details the use of Electroencephalography, a methodology commonly applied for
medical purposes such as in detection of mental disorders and in upcoming technological research areas like BCI
(Brain Computer Interfaces), is now re-purposed to use in the Manufacturing sector to reduce the risk of error
and anomalies. Manufacturing involves many tasks that require mental alertness of an operator who supervises a
particular process, failure to do this, might leave unchecked errors in the finished product. Fatigue could lead to
serious consequences to health of the worker and may also lead to on-job accidents. To minimize possibility of
such instances, a study has been conducted to measure and find ways to tackle issues of mental fatigue. To
quantify the study, we have taken the case study of Pharmaceutical Sector where this kind of study might have
some impact. [3] The study reveals that workers doings tasks that require high alertness develop fatigue earlier
than anticipated, and therefore need frequent rotation from such activities.
Plug In Generator To Produce Variant Outputs For Unique Data.IJRES Journal
Our modern world comprising of abundant chronic diseases which are affecting humankind, awful thing is that they affect the people without being notified until the end. In this project we proposed a system in which the user identifies the disease by providing the symptoms which he is experiencing. The user selects the multiple symptoms which he/she is suffering and submits them for evaluation using String Matching System. The database consists of limited number of diseases, with well organized pattern structure of symptoms. Using a friendly interface, user can input the data in the questionnaire form developed. Artificial Bee Colony Optimization [ABC] algorithm, i.e., a Machine Learning algorithm embedded in the project provides an optimistic disease along with its prevention and curing methods, but before ABC produces optimistic disease, String Matching System approach gives an accurate disease with which the human is suffering from. The above said data transformed into web can be considered as an offline browsing system which can be used by any educated personalities, to generally know what is happening and gets enough idea before visiting the practitioner.
Research on Multidimensional Expert System Based on Facial Expression And Phy...IJRESJOURNAL
ABSTRACT: ES (expert system) is a branch of the field of artificial intelligence ,which is the most important and the most active. It is a kind of computer intelligent system with a large number of special knowledge. It is provide d knowledge and experience by one or more experts in some fields. This expert system simulates the decision-making process of human expert through deductive reasoning and judgment. Through the investigation of several large hospitals, there is not an expert system for clinical application. The general medical diagnosis expert system knowledge base is based on the parameters of vital signs, The accuracy of medical diagnosis is very difficult to improve. When the facial expression was embedded in the construction of knowledge base, whole system is closer to the process of clinical diagnosis. The result shows that this method achieves higher diagnosis accuracy rate. The reasoning process of the system mainly includes two parts : Firstly through the video and digital image processing technology to get facial features, the inference as before; Secondly, the inference in the previous step is associated with the physiological parameters from the database and make the final diagnosis result.
Information Retrieval from Emotions and Eye Blinks with help of Sensor Nodes IJECEIAES
In everyday life, there are situations where the only way to communicate are emotions. EMOTICONS are the epitome of the same. This aspect of communication can also be used in emergency situations (terrorist attacks, hijacks) where the only way to communicate is by performing some extraordinary actions or through some emotions. Incorporating technology to the above mentioned circumstances the paper proposes a novel framework of detecting an emergency situation by retrieving information from emotions and eye blinks using sensor nodes. The proposed framework can be deployed in places (hotels, banks, airports etc.) which are more suspected to attacks. The framework takes input from real time parameters: eye blinks, emotions, heart rate. Based on behavioral changes, biological changes and physical changes the proposed framework extracts meticulous information. The proposed framework is further validated through implementation of a facial emotion recognition system that successfully recognizes various human emotions. The facial emotion recognition system of the proposed framework is compared with existing SVM technique in terms of accuracy, training and testing error. Accuracy with the proposed system is increased to 78.40% in comparison with existing SVM that is 75.37% and the training error is decreased to 0.004103 whereas with the existing SVM method training error is 0.008935.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
2. What is an EXPERT SYSTEM?
● An expert system is a computer expert that emulates the decision making
ability of a human expert.
● Expert system, a computer program that uses artificial intelligence methods
to solve complex problems within a specialized domain that ordinarily
requires human expertise.
3. Example: Making of a medical diagnosis expert
system
● A medical diagnosis expert system lets the user diagnose his disease without
going to a real doctor (but of course, user has to go to a real doctor for
treatment)
6. Components of an Expert System
1. Knowledge Base
2. Inference Engine
3. User Interface
7. 1. Knowledge Base
● A knowledge base is an organized collection of facts about the system’s
domain.
● Facts for a knowledge base must be acquired from human experts through
interviews and observations.
● This knowledge is then usually represented in the form of “if-then” rules
(production rules): “If some condition is true, then the following inference can
be made (or some action taken).”
● A probability factor is often attached to the conclusion of each production
rule and to the ultimate recommendation, because the conclusion is not a
certainty.
8. Components of Knowledge Base
● Factual Knowledge − It is the information widely accepted by the Knowledge
Engineers and scholars in the task domain.
● Heuristic Knowledge − It is about practice, accurate judgement, one’s ability
of evaluation, and guessing.
9. Knowledge Acquisition
● The knowledge base is formed by readings from various experts, scholars,
and the Knowledge Engineers. The knowledge engineer is a person with the
qualities of empathy, quick learning, and case analyzing skills.
● He acquires information from subject expert by recording, interviewing, and
observing him at work, etc.
● He then categorizes and organizes the information in a meaningful way, in
the form of IF-THEN-ELSE rules, to be used by interference machine. The
knowledge engineer also monitors the development of the ES.
10. Knowledge Base for Medical Diagnosis Expert
system
Symptoms Disease
Fever, cough, conjunctivitis, running nose, rashes Measles
Fever,headache, ache, conjunctivitis, chills,sore
throat,cough,running nose
Flu
Headache, sneezing, sore throat, running nose,
chills
Cold
Fever, chills,ache,rashes Chickenpox
11. 2. The Inference Engine
● An inference engine interprets and evaluates the facts in the knowledge
base in order to provide an answer or to reach a goal state
● For example, if the KB contains the production rules “if x, then y” and “if y, then
z,” the inference engine is able to deduce “if x, then z.”
● In medical diagnosis ES, if a user has Fever, chills,ache,rashes, then user
is suffering from chickenpox
● Strategies used by the inference engine
○ Forward chaining
○ Backward chaining
12. Forward Chaining
● “What can happen next?”
● It is a data-driven strategy.
● The inferencing process moves from the facts of the case to a goal
(conclusion).
● The inference engine attempts to match the condition (IF) part of each rule in
the knowledge base with the facts currently available in the working memory.
● If several rules match, a conflict resolution procedure is invoked;
14. Forward Chaining in Medical Diagnosis ES
● A user has fever, headache, ache, conjunctivitis, chills,sore
throat,cough,running nose.
● In forward chaining, the inference engine will use the symptoms specified to
conclude to the disease the user is suffering from.
● After going through the above symptoms, the inference engine concludes that
the user is suffering from flu by checking the knowledge base.
15. Backward Chaining
● “Why this happened?”
● On the basis of what has already happened, the Inference Engine tries to find
out which conditions could have happened in the past for this result.
● This strategy is followed for finding out cause or reason.
● The inference engine attempts to match the assumed (hypothesized)
conclusion - the goal or subgoal state - with the conclusion (THEN) part of the
rule.
● If such a rule is found, its premise becomes the new subgoal.
● In an ES with few possible goal states, this is a good strategy to pursue.
17. Backward Chaining in Medical Diagnosis ES
● Suppose a user has measles.
● Now, the inference engine will look up in the knowledge base to derive the
symptoms that could have resulted in measles.
● It inferred that the symptoms were fever, cough, conjunctivitis, running nose,
rashes.
● This worked as only few states were present.
18. 3. User Interface
● User interface provides interaction between user of the ES and the ES itself.
● The user of the ES need not be necessarily an expert in Artificial Intelligence.
● It explains how the ES has arrived at a particular recommendation. The
explanation may appear in the following forms −
○ Natural language displayed on screen.
○ Verbal narrations in natural language.
○ Listing of rule numbers displayed on the screen.
19. Code for medical diagnosis ES: 1
#include <iostream>
using namespace std;
void measels(char,char,char,char,char);
void flu(char,char,char,char,char,char,char,char);
void cold(char,char,char,char,char);
void chickenpox(char,char,char,char);
20. Code for medical diagnosis ES: 2
int main()
{
char name[50];
char a,b,c,d,e,f,g,h,i,j,k;
cout << "Please enter your name.. " << endl;
cin>> name;
cout << "Do you have fever? (y/n)"<< endl;
cin>>a;
cout << "Do you have rashes? (y/n)"<< endl;
21. Code for medical diagnosis ES: 3
cin>>b;
cout << "Do you have headache? (y/n)"<< endl;
cin>>c;
cout << "Do you have running nose? (y/n)"<< endl;
cin>>d;
cout << "Do you have conjunctivitis? (y/n)"<< endl;
cin>>e;
cout << "Do you have cough? (y/n)"<< endl;
cin>>f;
cout << "Do you have ache? (y/n)"<< endl;
22. Code for medical diagnosis ES: 4
cin>>g;
cout << "Do you have chills? (y/n)"<< endl;
cin>>h;
cout << "Do you have swollen glands? (y/n)"<< endl;
cin>>i;
cout << "Do you have sneezing? (y/n)"<< endl;
cin>>j;
cout << "Do you have sore throat? (y/n)"<< endl;
cin>>k;
23. Code for medical diagnosis ES: 5
measles(a,f,e,d,b);
flu(a,c,g,e,h,k,f,d);
cold(c,j,k,d,h);
chickenpox(a,h,g,b);
return 0;
}
24. Code for medical diagnosis ES: 6
void measles(char q,char w,char r,char t,char y)
{
if(q=='y'&&w=='y'&& r=='y' && t=='y' && y== 'y')
cout<< "You may have measles"<< endl;
else
cout<< "";
}
25. Code for medical diagnosis ES: 7
void flu(char q,char w,char r,char t,char y,char p,char l,char x)
{
if(q=='y'&&w=='y'&& r=='y' && t=='y' && y== 'y'&& p=='y' && l=='y' && x=='y')
cout<< "You may have flu."<< endl;
else
cout<< "";
}
28. Limitations of Expert System
No technology offers an easy and total solution. Large systems are costly and
require significant development time and computer resources. ESs also have their
limitations which include:
● Limitations of the technology
● Problems with knowledge acquisition
● Maintaining human expertise in organizations
● https://www.youtube.com/watch?v=TRzBk_KuIaM&t=460s