Expert System is a rapidly growing technology in
the field of Artificial Intelligence. It is a computer program
which captures the knowledge of a human expert on a given
problem, and uses this knowledge to solve problems in a
fashion similar to the expert. The system can assist the expert
during problem-solving, or act in the place of the expert in
those situations where the expertise is lacking. Expert systems
have been developed in such diverse areas as agriculture,
science, engineering, business, and medicine. In these areas,
they have increased the quality, efficiency, and competitive
leverage of the organizations employing the technology. This
paper highlights the major characteristics of expert systems,
reviews several systems developed for application in the area
of agriculture and an overview about the integration of other
software components with the agricultural expert systems.
Role of expert systems in agriculture and its
applications in efficient crop production and
protection technologies has been reviewed and
discussed in this paper. Different domains of
agriculture are highlighted where expert systems can
play an important role for an expert in transferring
expert-driven knowledge instantly at the level of
farmer’s field. This paper explores structure of an
expert system, role of expert system in agriculture
along with details of expert system developed in the
different field of agriculture and also possibilities of
designing, developing and implementation of an
expert system for agriculture would motivate
scientists and extension workers to investigate
possible applications for the benefit of entire
agricultural community.
Clinical information systems (CIS) integrate medical applications and technologies to collect, store, and analyze healthcare data to provide secure access for clinicians. A CIS includes electronic medical records, clinical decision support, and tools for training and research. Key benefits include easier access to patient data, improved searchability, enhanced safety, and data analysis. Nurses, physicians, administrators and other staff must be involved in selecting and implementing a CIS to ensure it meets clinical needs. The implementation process involves eight phases from planning to evaluation to ensure the system functions properly. Overall, a well-implemented CIS aims to make healthcare delivery and decision making more efficient, safer and higher quality.
A study on real time plant disease diagonsis systemIJARIIT
The document discusses developing a real-time plant disease diagnosis mobile application. It aims to allow farmers to easily capture images of plant leaves using a mobile camera, send the images to a central system for analysis, and receive diagnoses and treatment recommendations. The proposed system would use image processing and data mining techniques to analyze leaf images for abnormalities, identify the plant species, recognize any diseases present, and recommend appropriate pesticides and estimate treatment costs. This would provide a low-cost, convenient solution for farmers to quickly diagnose and respond to plant diseases.
This document discusses the field of nursing informatics and the role of nursing leaders in advancing it. It provides background on nursing informatics, noting that it combines nursing, information science, and computer science. It describes how nursing informatics can help improve various aspects of nursing practice, patient care, and communication. The document stresses that nursing leaders must advocate for nursing informatics, ensure ongoing education and training on informatics, and promote research in the field to help establish it as a specialty and help nurses utilize technology.
HealthMEDX is a leading software company that provides electronic health record (EHR) systems to over 3,300 healthcare locations nationwide. Their EHR system allows home health agencies like Integrity Home Care to provide various services to patients in their homes. The system includes features like clinical documentation, billing/reimbursement, telehealth, and analytics. HealthMEDX prioritizes data security and provides various training and support services to help clients implement and effectively use their system.
The document discusses the history and evolution of nursing informatics from Florence Nightingale's time to the present. It covers key topics like the development of hospital information systems in the 1950s-1960s, the definition and purpose of nursing informatics according to the ANA, general and specialist informatics competencies, nursing informatics specialties, the importance of informatics in healthcare delivery, and various informatics applications in areas like critical care, community health, and ambulatory care.
This document discusses the application of computers in nursing in 3 main areas. First, it describes how computers can be used to schedule patient appointments and manage billing/insurance information in multi-specialty clinics and hospitals. Second, it outlines how computer systems like COSTAR have been used in community health settings to store patient records. Third, it addresses some of the privacy, security and access controls needed when implementing computer systems like ensuring individual passwords and limiting terminal access.
Role of expert systems in agriculture and its
applications in efficient crop production and
protection technologies has been reviewed and
discussed in this paper. Different domains of
agriculture are highlighted where expert systems can
play an important role for an expert in transferring
expert-driven knowledge instantly at the level of
farmer’s field. This paper explores structure of an
expert system, role of expert system in agriculture
along with details of expert system developed in the
different field of agriculture and also possibilities of
designing, developing and implementation of an
expert system for agriculture would motivate
scientists and extension workers to investigate
possible applications for the benefit of entire
agricultural community.
Clinical information systems (CIS) integrate medical applications and technologies to collect, store, and analyze healthcare data to provide secure access for clinicians. A CIS includes electronic medical records, clinical decision support, and tools for training and research. Key benefits include easier access to patient data, improved searchability, enhanced safety, and data analysis. Nurses, physicians, administrators and other staff must be involved in selecting and implementing a CIS to ensure it meets clinical needs. The implementation process involves eight phases from planning to evaluation to ensure the system functions properly. Overall, a well-implemented CIS aims to make healthcare delivery and decision making more efficient, safer and higher quality.
A study on real time plant disease diagonsis systemIJARIIT
The document discusses developing a real-time plant disease diagnosis mobile application. It aims to allow farmers to easily capture images of plant leaves using a mobile camera, send the images to a central system for analysis, and receive diagnoses and treatment recommendations. The proposed system would use image processing and data mining techniques to analyze leaf images for abnormalities, identify the plant species, recognize any diseases present, and recommend appropriate pesticides and estimate treatment costs. This would provide a low-cost, convenient solution for farmers to quickly diagnose and respond to plant diseases.
This document discusses the field of nursing informatics and the role of nursing leaders in advancing it. It provides background on nursing informatics, noting that it combines nursing, information science, and computer science. It describes how nursing informatics can help improve various aspects of nursing practice, patient care, and communication. The document stresses that nursing leaders must advocate for nursing informatics, ensure ongoing education and training on informatics, and promote research in the field to help establish it as a specialty and help nurses utilize technology.
HealthMEDX is a leading software company that provides electronic health record (EHR) systems to over 3,300 healthcare locations nationwide. Their EHR system allows home health agencies like Integrity Home Care to provide various services to patients in their homes. The system includes features like clinical documentation, billing/reimbursement, telehealth, and analytics. HealthMEDX prioritizes data security and provides various training and support services to help clients implement and effectively use their system.
The document discusses the history and evolution of nursing informatics from Florence Nightingale's time to the present. It covers key topics like the development of hospital information systems in the 1950s-1960s, the definition and purpose of nursing informatics according to the ANA, general and specialist informatics competencies, nursing informatics specialties, the importance of informatics in healthcare delivery, and various informatics applications in areas like critical care, community health, and ambulatory care.
This document discusses the application of computers in nursing in 3 main areas. First, it describes how computers can be used to schedule patient appointments and manage billing/insurance information in multi-specialty clinics and hospitals. Second, it outlines how computer systems like COSTAR have been used in community health settings to store patient records. Third, it addresses some of the privacy, security and access controls needed when implementing computer systems like ensuring individual passwords and limiting terminal access.
This document discusses the use of computers in nursing. It begins by defining what a computer is and how computers have revolutionized the nursing profession leading to the development of nursing informatics. The document then discusses the historical perspectives of computer use in healthcare and nursing from the 1960s to present. It provides definitions of key terms like nursing informatics and outlines the major uses of computers in nursing education, practice, administration, and research. The document also discusses issues related to computer use in nursing like legal/ethical concerns and provides advantages and disadvantages.
A Novel Machine Learning Based Approach for Detection and Classification of S...IRJET Journal
This document presents a novel machine learning approach for detecting and classifying sugarcane plant diseases using discrete wavelet transform (DWT). Existing methods use MATLAB and support vector machines with limited accuracy. The proposed method uses DWT for image segmentation to identify affected plant regions. It acquires images, pre-processes for noise reduction, segments using edge detection, extracts features from regions of interest, classifies diseases, and detects diseases based on image analysis and classification. The goal is to more accurately detect diseases early to control crop damage and losses. A dataset of 13 sugarcane diseases is used to evaluate the approach.
A clinical information system (CIS) is a technology-based system used at the point of care to support the acquisition, processing, storage, and sharing of patient information across locations. Key components of a CIS include the type of application, number of users, where data is stored, and backup procedures. Implementation requires input from medical staff, IT, and management to ensure accuracy, privacy, and system reliability. Larger healthcare facilities can expect to pay $10 million to $1 billion to establish a CIS, with annual maintenance fees of $1 million or more.
Legal and Ethical Considerations in Nursing InformaticsKimarie Brown
This document discusses legal and ethical considerations around information security and confidentiality in nursing informatics. It covers key concepts like privacy, confidentiality, and information security. It identifies threats to system security like hackers, viruses and human error. It also discusses security measures that can be implemented, including firewalls, antivirus software, authentication methods like passwords, and proper disposal of confidential information. The impact of internet technology on health information security is also addressed.
This document discusses nursing informatics as an established area of specialization in nursing. It provides background on the origins of the term "informatics" and defines it as a multidisciplinary field combining various sciences like computer science, information science, and cognitive science. The document then defines health informatics and its subdomains like medical informatics and nursing informatics. Nursing informatics is discussed as the application of information technologies to nursing practice, education, research, and administration. It became a recognized nursing specialty in 1992 with its own distinct body of knowledge. Nursing informatics specialists work in various roles applying their skills and knowledge to improve patient care and the nursing experience.
Role of information technology on healthNisha Yadav
This document provides an overview of the role of information technology in healthcare. It discusses the history and basics of IT, highlights key IT tools used in healthcare like electronic medical records, telemedicine, and health information exchange. It also covers the need for IT in healthcare to improve quality, access, and efficiency. Privacy and security challenges with healthcare IT are also summarized. Finally, the current adoption of IT in healthcare settings and India's National Digital Health Mission initiative are briefly outlined.
Recent research states that using new and emerging
technologies in the areas of telecommunications are widely
used in healthcare sector. The system Intelligent Electornic
Patient Record Management System (IEPRMS) is a
centralized database contains the in-patient record. It was
implemented using PHP & MYSQL combination. The
database record contains the patient personal info, department
lies-in, physician, tours, ,treatment and lab results. Since the
patient enters the hospital the workflow starts as the reception
user creates new record by entering the personal info and
sends the record to assigned department; at this stage the nurse
starts update the record by entering the physician comments,
required treatment, and sends lab test when it is required. The
procedure continues as long as the patient still in the hospital.
At last when the patient recovered or died the International
Classsification of Diseases(ICD) inserted to the record and out
or died date. In addition there are many supported tables that
can be updated manually through independent pages by IT
administrator. These tables like Physician names, medicines,
lab tests, users and ICDs. As the system consists of different
users and different user permissions. Also there are advance
search that can help to make statistical reports and researches
for the physicians. The system is considered time and cost
effective to healthcare.
The document provides an overview of nursing informatics, including its history and key concepts. It discusses how nursing informatics integrates nursing, computer science, and information science to manage data and support patient care and decision making. The document also outlines some common informatics terminology, electronic health record components, and the nursing minimum data set.
IRJET- A Framework for Disease Risk PredictionIRJET Journal
This document presents a framework for disease risk prediction using machine learning techniques. It proposes using a convolutional neural network model for disease prediction. The system architecture includes an admin module for dataset management and file conversion, and a disease risk prediction module for prediction. The admin module allows uploading medical data, converting files to a compatible format, and performing predictions. The disease risk prediction module takes a test set, generates compatible files, and uses those files and a convolutional neural network for prediction. The goal is to develop an automated disease prediction system to help predict disease and improve healthcare.
Computer technology has significantly impacted the field of nursing. It is used extensively in nursing education for teaching, learning, testing, and managing student records. In nursing practice, computers are used to document and evaluate patient care, assess and monitor patients, and make ethical decisions regarding technologies. Nursing administration utilizes computers for human resources, medical records, quality assurance, facilities management, and budget/finances. Computers are also valuable tools for nursing research, aiding in problem identification, literature searches, data collection and analysis, and disseminating findings.
1) The document describes an expert system called "PulsExpert" that was developed to diagnose diseases in pulse crops.
2) It uses a knowledge acquisition system to collect diagnostic knowledge such as symptoms and treatments from experts and represent it in a structured knowledge base.
3) The knowledge acquisition system has a user-friendly interface that allows experts to input, view, modify and delete information to build the knowledge base.
This document provides information about a Nursing Informatics course, including the instructor, schedule, course description, objectives, outline, and definitions of key terms. The course deals with using information technology and standards in nursing, managing patient data, and clinical decision-making. It is worth 3 credits, includes both lecture and lab hours, and covers topics such as computer hardware and software, electronic health records, issues in informatics, and applications for practice, research, and the future of the field.
This document provides an overview of nursing informatics for new nursing hires. It defines nursing informatics as using technology to support all aspects of nursing practice. Nurses' roles include computerized documentation, using patient technologies, and managing patient information for safety. A nursing informatics model is described using Lewin's Change Theory of unfreezing, changing, and refreezing to facilitate adoption of new technologies. The document explains that informatics can support patient care through research and standardized practices, as well as help administration with costs, workflows, and decision making. Finally, strategies are presented for increasing new hires' comfort with technology, such as completing training, quizzes, and asking more experienced nurses for assistance.
The document discusses nursing informatics and its relevance for nursing education. It defines informatics as the science of computer information systems and the practice of information processing. It notes that while some universities offer limited coverage of electronic health records and telehealth, most do not have dedicated nursing informatics education. The document advocates that nursing students are natural users and generators of information and that educators should teach students to more effectively look for, find, interpret, share and generate information using tools like social media, infographics and common data elements. It argues nursing students do not need to become programmers or analysts but rather comfortable using information technologies.
Evaluation of a clinical information system (cis)nikita024
This power point presentation provides an overview of a clinical information system (CIS). It discusses what a CIS is, how CIS have evolved, and the key players involved in designing CIS. It also examines the electronic health record component of a CIS and discusses the eight basic components that make up an EHR. Additional topics covered include clinical decision making systems, safety, costs, and education regarding CIS. The presentation was created by four students with each student covering specific slides and aspects of the topic.
computers and nursing and computer systemloveobi25
This document provides an overview of nursing informatics including its definition, frameworks, historical perspectives, and key concepts. Nursing informatics involves using computer technology to support nursing practice, education, administration, and research. It also involves developing and evaluating applications and tools to help nurses manage patient data and support nursing practice. The document discusses computers and their role in healthcare, including electronic health records and mobile devices used by nurses. It also covers computer hardware, software, databases, networks, and other informatics concepts relevant to nursing.
Nursing informatics
What is nursing informatics?
Evolution of nursing informatics
Role of the Nurse as knowledge worker
Medical Informatics
Consumer Informatics
Data management involves collecting, storing, and processing data to transform it into useful information. Ensuring data integrity is important to make appropriate decisions. Techniques to reduce errors include educating staff, system prompts, verification, data mining, and data cleansing. Nursing informatics involves managing nursing data and information to support patient care through roles like project manager, consultant, educator, researcher, and chief information officer.
This document discusses the course Nursing Informatics. The course covers the use of information technology and data standards in nursing based on informatics principles. It deals with using clinical information systems to manage patient care and support decision making. The course objectives are to apply informatics concepts to nursing and discuss relevant issues and trends. Various topics are outlined including computers and nursing history, computer systems, issues in informatics, informatics theories, and applying informatics in different nursing practices and internationally. Students are expected to create an online nursing informatics page and do an individual or group presentation to pass the course.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
This document discusses the use of computers in nursing. It begins by defining what a computer is and how computers have revolutionized the nursing profession leading to the development of nursing informatics. The document then discusses the historical perspectives of computer use in healthcare and nursing from the 1960s to present. It provides definitions of key terms like nursing informatics and outlines the major uses of computers in nursing education, practice, administration, and research. The document also discusses issues related to computer use in nursing like legal/ethical concerns and provides advantages and disadvantages.
A Novel Machine Learning Based Approach for Detection and Classification of S...IRJET Journal
This document presents a novel machine learning approach for detecting and classifying sugarcane plant diseases using discrete wavelet transform (DWT). Existing methods use MATLAB and support vector machines with limited accuracy. The proposed method uses DWT for image segmentation to identify affected plant regions. It acquires images, pre-processes for noise reduction, segments using edge detection, extracts features from regions of interest, classifies diseases, and detects diseases based on image analysis and classification. The goal is to more accurately detect diseases early to control crop damage and losses. A dataset of 13 sugarcane diseases is used to evaluate the approach.
A clinical information system (CIS) is a technology-based system used at the point of care to support the acquisition, processing, storage, and sharing of patient information across locations. Key components of a CIS include the type of application, number of users, where data is stored, and backup procedures. Implementation requires input from medical staff, IT, and management to ensure accuracy, privacy, and system reliability. Larger healthcare facilities can expect to pay $10 million to $1 billion to establish a CIS, with annual maintenance fees of $1 million or more.
Legal and Ethical Considerations in Nursing InformaticsKimarie Brown
This document discusses legal and ethical considerations around information security and confidentiality in nursing informatics. It covers key concepts like privacy, confidentiality, and information security. It identifies threats to system security like hackers, viruses and human error. It also discusses security measures that can be implemented, including firewalls, antivirus software, authentication methods like passwords, and proper disposal of confidential information. The impact of internet technology on health information security is also addressed.
This document discusses nursing informatics as an established area of specialization in nursing. It provides background on the origins of the term "informatics" and defines it as a multidisciplinary field combining various sciences like computer science, information science, and cognitive science. The document then defines health informatics and its subdomains like medical informatics and nursing informatics. Nursing informatics is discussed as the application of information technologies to nursing practice, education, research, and administration. It became a recognized nursing specialty in 1992 with its own distinct body of knowledge. Nursing informatics specialists work in various roles applying their skills and knowledge to improve patient care and the nursing experience.
Role of information technology on healthNisha Yadav
This document provides an overview of the role of information technology in healthcare. It discusses the history and basics of IT, highlights key IT tools used in healthcare like electronic medical records, telemedicine, and health information exchange. It also covers the need for IT in healthcare to improve quality, access, and efficiency. Privacy and security challenges with healthcare IT are also summarized. Finally, the current adoption of IT in healthcare settings and India's National Digital Health Mission initiative are briefly outlined.
Recent research states that using new and emerging
technologies in the areas of telecommunications are widely
used in healthcare sector. The system Intelligent Electornic
Patient Record Management System (IEPRMS) is a
centralized database contains the in-patient record. It was
implemented using PHP & MYSQL combination. The
database record contains the patient personal info, department
lies-in, physician, tours, ,treatment and lab results. Since the
patient enters the hospital the workflow starts as the reception
user creates new record by entering the personal info and
sends the record to assigned department; at this stage the nurse
starts update the record by entering the physician comments,
required treatment, and sends lab test when it is required. The
procedure continues as long as the patient still in the hospital.
At last when the patient recovered or died the International
Classsification of Diseases(ICD) inserted to the record and out
or died date. In addition there are many supported tables that
can be updated manually through independent pages by IT
administrator. These tables like Physician names, medicines,
lab tests, users and ICDs. As the system consists of different
users and different user permissions. Also there are advance
search that can help to make statistical reports and researches
for the physicians. The system is considered time and cost
effective to healthcare.
The document provides an overview of nursing informatics, including its history and key concepts. It discusses how nursing informatics integrates nursing, computer science, and information science to manage data and support patient care and decision making. The document also outlines some common informatics terminology, electronic health record components, and the nursing minimum data set.
IRJET- A Framework for Disease Risk PredictionIRJET Journal
This document presents a framework for disease risk prediction using machine learning techniques. It proposes using a convolutional neural network model for disease prediction. The system architecture includes an admin module for dataset management and file conversion, and a disease risk prediction module for prediction. The admin module allows uploading medical data, converting files to a compatible format, and performing predictions. The disease risk prediction module takes a test set, generates compatible files, and uses those files and a convolutional neural network for prediction. The goal is to develop an automated disease prediction system to help predict disease and improve healthcare.
Computer technology has significantly impacted the field of nursing. It is used extensively in nursing education for teaching, learning, testing, and managing student records. In nursing practice, computers are used to document and evaluate patient care, assess and monitor patients, and make ethical decisions regarding technologies. Nursing administration utilizes computers for human resources, medical records, quality assurance, facilities management, and budget/finances. Computers are also valuable tools for nursing research, aiding in problem identification, literature searches, data collection and analysis, and disseminating findings.
1) The document describes an expert system called "PulsExpert" that was developed to diagnose diseases in pulse crops.
2) It uses a knowledge acquisition system to collect diagnostic knowledge such as symptoms and treatments from experts and represent it in a structured knowledge base.
3) The knowledge acquisition system has a user-friendly interface that allows experts to input, view, modify and delete information to build the knowledge base.
This document provides information about a Nursing Informatics course, including the instructor, schedule, course description, objectives, outline, and definitions of key terms. The course deals with using information technology and standards in nursing, managing patient data, and clinical decision-making. It is worth 3 credits, includes both lecture and lab hours, and covers topics such as computer hardware and software, electronic health records, issues in informatics, and applications for practice, research, and the future of the field.
This document provides an overview of nursing informatics for new nursing hires. It defines nursing informatics as using technology to support all aspects of nursing practice. Nurses' roles include computerized documentation, using patient technologies, and managing patient information for safety. A nursing informatics model is described using Lewin's Change Theory of unfreezing, changing, and refreezing to facilitate adoption of new technologies. The document explains that informatics can support patient care through research and standardized practices, as well as help administration with costs, workflows, and decision making. Finally, strategies are presented for increasing new hires' comfort with technology, such as completing training, quizzes, and asking more experienced nurses for assistance.
The document discusses nursing informatics and its relevance for nursing education. It defines informatics as the science of computer information systems and the practice of information processing. It notes that while some universities offer limited coverage of electronic health records and telehealth, most do not have dedicated nursing informatics education. The document advocates that nursing students are natural users and generators of information and that educators should teach students to more effectively look for, find, interpret, share and generate information using tools like social media, infographics and common data elements. It argues nursing students do not need to become programmers or analysts but rather comfortable using information technologies.
Evaluation of a clinical information system (cis)nikita024
This power point presentation provides an overview of a clinical information system (CIS). It discusses what a CIS is, how CIS have evolved, and the key players involved in designing CIS. It also examines the electronic health record component of a CIS and discusses the eight basic components that make up an EHR. Additional topics covered include clinical decision making systems, safety, costs, and education regarding CIS. The presentation was created by four students with each student covering specific slides and aspects of the topic.
computers and nursing and computer systemloveobi25
This document provides an overview of nursing informatics including its definition, frameworks, historical perspectives, and key concepts. Nursing informatics involves using computer technology to support nursing practice, education, administration, and research. It also involves developing and evaluating applications and tools to help nurses manage patient data and support nursing practice. The document discusses computers and their role in healthcare, including electronic health records and mobile devices used by nurses. It also covers computer hardware, software, databases, networks, and other informatics concepts relevant to nursing.
Nursing informatics
What is nursing informatics?
Evolution of nursing informatics
Role of the Nurse as knowledge worker
Medical Informatics
Consumer Informatics
Data management involves collecting, storing, and processing data to transform it into useful information. Ensuring data integrity is important to make appropriate decisions. Techniques to reduce errors include educating staff, system prompts, verification, data mining, and data cleansing. Nursing informatics involves managing nursing data and information to support patient care through roles like project manager, consultant, educator, researcher, and chief information officer.
This document discusses the course Nursing Informatics. The course covers the use of information technology and data standards in nursing based on informatics principles. It deals with using clinical information systems to manage patient care and support decision making. The course objectives are to apply informatics concepts to nursing and discuss relevant issues and trends. Various topics are outlined including computers and nursing history, computer systems, issues in informatics, informatics theories, and applying informatics in different nursing practices and internationally. Students are expected to create an online nursing informatics page and do an individual or group presentation to pass the course.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
It gives an individual a general Idea about Expert System and the wide variety of it's Applications.We discuss the scope of Expert System in upcoming Future in various Domains and various Challenges.Some examples are also given of a few Expert Systems.
Final Year Project CHP 1& 2 CHENAI MAKOKO.docxChenaiMartha
The document proposes developing a model for early detection of layer bird diseases for layer poultry farmers. It discusses challenges small-scale farmers face in detecting diseases early due to limited access to veterinary support. Existing systems for disease detection include expert systems using certainty factors, deep learning models for detecting diseases from fecal images, and IoT-based frameworks. However, these systems either focus on expert diagnosis, rely on large datasets, or require specialized hardware. The proposed model aims to allow farmers to enter symptoms and receive recommendations to aid early disease detection.
An expert system is a type of artificial intelligence program that contains a large knowledge base about a specific subject. It uses this knowledge to draw conclusions, make decisions, and offer advice. The expert system consists of a knowledge base containing facts and rules, an interference engine that acts as the program, and an explanatory interface used to ask questions of users. Expert systems are useful for representing and describing the knowledge of human experts in many fields like medicine, geology, and engineering. While they offer advantages like always being accessible and consistent, expert systems also have disadvantages such as being expensive to create and lacking common sense like humans.
Expert systems are a type of artificial intelligence application that aims to emulate the decision-making ability of human experts. They are designed to analyze complex problems through reference to a large body of knowledge and provide advice or solutions to problems. An expert system consists of a knowledge base, strategy component, and implementation programs. They are used in applications like medical diagnosis, financial forecasting, and vehicle routing. Some key benefits of expert systems include their ability to imitate human reasoning, facilitate knowledge sharing, provide expert-level recommendations, and handle uncertain information. An example of an Indian expert system is the Rice Crop Doctor developed by MANAGE to diagnose pests and diseases affecting rice production.
Expert systems are a type of artificial intelligence application that aims to emulate the decision-making ability of human experts. They are designed to analyze complex problems through reference to a large body of knowledge and provide advice or solutions to problems. An expert system consists of a knowledge base, strategy component, and implementation programs. They are used in applications like medical diagnosis, financial forecasting, and vehicle routing. Some key benefits of expert systems include their ability to imitate human reasoning, facilitate knowledge sharing, provide expert-level recommendations, and handle uncertain information. An example of an Indian expert system is the Rice Crop Doctor developed by MANAGE to diagnose pests and diseases affecting rice production.
The document proposes developing a system called the Layer Bird Vaccination Monitoring & Disease Detection System. This system would help small-scale layer poultry farmers in Zimbabwe track vaccinations, monitor treatments, and detect diseases early using data visualization and machine learning models. The system aims to address challenges small-scale farmers face like a lack of record keeping, monitoring of bird health, and limited access to veterinary support. It would allow farmers to enter bird symptom data and get recommendations to prevent losses from diseases.
An expert system is an interactive computer-based decision tool that uses both facts and heuristics to solve difficult decision problems based on knowledge acquired from an expert.
Design and Implementation of an Expert Diet Prescription SystemWaqas Tariq
This document summarizes a research paper on the design and implementation of an expert diet prescription system. The system uses a knowledge base to identify ailments based on symptoms or name and prescribe appropriate diets. It has three access levels and a database of 7 ailments. The system was designed using Wamp server, PHP, MySQL and code charge studio. It aims to provide natural food-based treatments as an alternative to drugs to avoid adverse reactions.
A Forward Chaining Trace Analysis In Diagnosing Tamarillo DiseaseSean Flores
The document describes research on developing an expert system using forward chaining to diagnose diseases in tamarillo plants. Key points:
- Researchers created an expert system to help farmers diagnose diseases in tamarillo plants based on visible symptoms, as information on tamarillo diseases is currently limited.
- The expert system uses forward chaining reasoning techniques to develop rules based on symptom identification to determine pest or disease.
- Common tamarillo plant diseases include viral infections, powdery mildew, bacterial attack, aphids, caterpillars, and mites. The expert system analyzes symptoms that appear on the plant to diagnose the issue.
- The system aims to provide easily accessible information to
An expert system is an artificial intelligence program that uses a large knowledge base about a specific subject to draw conclusions, make decisions, and offer advice like a human expert. It contains facts and rules in its knowledge base and uses an interface engine to ask and answer questions through its explanatory interface. Expert systems are useful for representing the knowledge of human experts in many fields like medicine, geology, and engineering. They have advantages like being consistently accessible and containing knowledge from multiple experts, but training them initially still requires significant resources.
Crops diseases detection and solution systemIJECEIAES
The technology based modern agriculture industries are today’s requirement in every part of agriculture in Bangladesh. In this technology, the disease of plants is precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes the farmer doesn’t know what type of disease on the plant and which type of medicine provide them to avoid diseases. This research developed for crops diseases detection and to provide solutions by using image processing techniques. We have used Android Studio to develop the system. The crops diseases detection and solution system is compared the image of affected crops with database of CDDASS (Crops Diseases Detection and Solution system). If CDDASS detect any disease symptom, then provide suggestion so that farmers can take proper decision to provide medicine to the affected crops. The application has developed with user friendly features so that farmers can use it easily.
Plant Leaf Disease Detection Using Machine LearningIRJET Journal
This document describes a research project that uses machine learning to detect plant leaf diseases. Specifically, it uses a Convolutional Neural Network (CNN) model trained on the PlantVillage dataset to classify images and identify 15 common diseases in tomato, potato, and pepper plants. The system is implemented as a web application that farmers can use to upload images of plant leaves. It provides disease names and treatment recommendations to help farmers efficiently diagnose issues and select appropriate pesticides. Validation tests found the system could accurately identify diseases 93.5% of the time. The goal is to help farmers, especially small-scale farmers, save crops and income by enabling easy, early detection of plant diseases.
An expert system is an intelligent computer program that uses knowledge and inference procedures to solve problems that require significant human expertise. It consists of a knowledge base containing expertise and an inference engine that draws conclusions. The expert system allows users to input facts to receive expert advice or expertise in response. Expert systems can assist or replace human experts in various fields like accounting, geology, and medicine by making decisions based on stored knowledge. They provide consistent answers but lack common sense and creativity.
This document outlines the methodology for developing a smart farming application. It will use deep learning techniques to provide crop recommendation, fertilizer recommendation, plant disease detection, climate/weather forecasts, and expert assistance to farmers. The objectives are to address limitations of existing systems like limited accuracy and features. The methodology involves building models for crop recommendation using Naive Bayes, plant disease detection using CNNs, and climate forecasts. It will also provide tools rental and expert contact details. The system requirements include hardware like displays and cameras, and software like Python and its libraries. The document reviews similar existing works and their advantages and disadvantages to identify problems and improve the system.
This document presents a project proposal on developing a "Tech Krishi-Krishi" system to help farmers. The proposed system would provide crop recommendation, fertilizer recommendation, plant disease detection using deep learning models, and information on climate and expert assistance. It aims to address the drawbacks of existing systems like limited accuracy and features. The methodology discusses developing models for crop recommendation, plant disease detection and climate forecast. Hardware requirements include a computer system and software requirements include Python IDE and Pycharm. The system is expected to help farmers make informed decisions and reduce losses.
Cultivation Process Facilitator for Selected Five Crops in Dry Zone Sri LankaIRJET Journal
This document describes a web-based solution called the Cultivation Process Facilitator developed for farmers in Sri Lanka. It aims to help farmers with various aspects of crop cultivation like selecting profitable crop combinations, managing fertilizer and pesticide use, scheduling water supply, and providing alternatives for market threats or natural disasters. The system uses algorithms and data on crops, soil conditions, market prices etc. to provide personalized recommendations and schedules to farmers throughout the cultivation season. It is intended to help farmers make better decisions than relying only on traditional knowledge or advice from agricultural institutions.
This document presents a multi-agent system approach for clinical diagnosis. It proposes an algorithm for an intelligent medical diagnosis system called Clinical Diagnosis System (CDS) that uses multiple intelligent agents. The CDS architecture includes various agents like the User Agent, Master Agent, Specialist Doctor Agents, and Report Agent. The algorithm describes the step-by-step process of how a problem or symptom is input, analyzed, assigned to a specialist agent, diagnosed and reported back to the user. The proposed CDS system aims to provide an improved and user-friendly clinical diagnosis approach.
This document discusses an assignment submitted on expert system design. It begins with defining an expert system as a computer application that performs tasks done by human experts, such as medical diagnosis. It then outlines the advantages and disadvantages of using expert systems. Key advantages include providing consistent solutions, reasonable explanations, and overcoming human limitations. Disadvantages include lacking common sense, high costs, and difficulties creating inference rules. The document also differentiates expert systems from conventional computer systems and describes knowledge acquisition in expert systems as the process of extracting and organizing knowledge from human experts. It discusses forward and backward chaining and declarative versus procedural knowledge. Finally, it presents problems on analyzing a circuit output and applying laws of equivalence to a logical expression, and defining a
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Security Issues in Biomedical Wireless Sensor Networks Applications: A SurveyIJARTES
Abstract The use of wireless sensor networks in healthcare
applications is growing in a fast pace. Numerous applications
such as heart rate monitor, blood pressure monitor and
endoscopic capsule are already in use. To address the growing
use of sensor technology in this area, a new field known as
wireless body area networks has emerged. As most devices
and their applications are wireless in nature, security and
privacy concerns are among major areas of concern. Body
area networks can collect information about an individual’s
health, fitness and energy expenditure. Comprising body
sensors that communicate wirelessly with the patients
control device for monitoring and external communication.
This paper provides the challenges of using the wireless
sensor network in biomedical field and how to solve most of
these issues. To analyze the different security strategies in
Wireless Sensor Networks and propose this system to give
highest quality medical care with full security in their
reliability
Surface Traping in Silicon Nanowire Dual material engineered Cylindrical gate...IJARTES
In this paper, the effect of gate field screening by surface
trap charges are studied using COMSOL 5.0. A nano wire
dual material Cylindrical gate (DMCG) MOSFET is
modeled and shift of turn on voltage due to the screening
effect is computed. It is shown that DMCG design increase
the drain current enhancement .However here the concept
of work function difference also present in term of gate bias
and comprehensive study of short channel effect of DMCG
has been focused .The objective of this paper is focus on
Current vs Gate voltage, Energy Band diagram,
CurrentDensity, electron and hole concentration and
Electric field when MOSFET is turn on. It is also examined
that Cylindrical MOSFET the minimum surface potential in
the channel reduces which resulting increasing in electron
velocity and thereby improving carrier transport efficiency.
1) The document presents a framework for automatic generation control (AGC) in a two-area restructured power system with non-linear governor characteristics, including hydro-hydro systems.
2) It models the addition of a frequency stabilizer equipped with an energy storage system to stabilize frequency and tie-line power oscillations under disturbances.
3) The gains of controllers and parameters of the stabilizer are optimized using genetic algorithms. Simulations show the response of the optimized load frequency controller under different transactions in the restructured electricity market.
Study and Analysis on Heat Treatment Process and Microstructure of Low Carbon...IJARTES
The document summarizes a study on the heat treatment process and microstructure of low carbon steel. It describes various heat treatment processes like annealing, normalizing, hardening, austempering, and tempering. Experimental details are provided on specimen preparation, heat treatment processes, hardness and tensile testing, and microstructure analysis. Results show that hardness decreases and ductility increases with higher tempering temperature and longer time. Austempering provides an optimal combination of properties. Microstructure analysis found that martensite fraction increases with higher annealing temperature. In conclusion, mechanical properties vary by heat treatment process, and austempering yields the best balance of properties for many applications.
Short term Multi Chain Hydrothermal Scheduling Using Modified Gravitational S...IJARTES
This paper proposes the modified Gravitational
search algorithm (GSA) to solve short term multi chain
hydrothermal scheduling problem while satisfying all
operational and physical constraints. The effect of the valve
point loading has been considered. Gravitational search
algorithm is based on the Newton’s law of gravitation. All
objects attract each other and global movement is towards
the heavier masses .However GSA has certain randomness
in search direction resulting in the weak local search ability.
In modified GSA, a time varying maximum velocity equation
is used which controls the exploration and improves the
convergence rate which strengthens its local search ability
and the quality of the hydrothermal solution.
Investigation of Heat Dissipation in Petrol Engine Cylinder during Explosion ...IJARTES
The current work determines the rate of heat flow
from an engine cylinder. The heat addition during the heat
addition stage or during explosion is determined by using the
classical equations. The heat dissipation from the cylinder is
enhanced by the fins provided around the cylinder. The results
which are obtained are validated with the finite element
analysis software ANSYS APDL. A study is conducted by
considering various materials to obtain optimum material
selection to enhance the better flow of heat from the system.
Integrated Air Conditioning Unit for AutomobilesIJARTES
This document summarizes several research papers on using waste heat from vehicle exhaust to power an absorption refrigeration system for automotive air conditioning. The key points are:
1) Absorption refrigeration systems can utilize low-grade waste heat from exhaust to run the air conditioning, unlike vapor compression which increases fuel use. Measured COP of a proposed system is 0.85 to 1.04.
2) A study designed a generator heat exchanger to transfer exhaust heat to the refrigerant in the generator. Experimental results showed exhaust is a viable alternative heating source.
3) Other studies analyzed using exhaust heat to power ammonia-water and lithium bromide absorption systems for vehicle air conditioning. Re
Power Generation from Speed Breaker Using Crank ShaftIJARTES
Power Generation from Speed Breaker Using
Crank Shaft
This paper attempts to show how energy can
tapped and used at a commonly used system the load speed
breaker. As the demand of electric power is increasing day-byday
for the working of various appliances. Producing
electricity from various sources is needed like from a speed
breaker is a new concept that is an undergoing research. The
number of vehicles on road is increase rapidly and if we
convert some of the kinetic energy of this vehicle into
rotational motion of roller then we can produce considerable
amount of electricity. The demand of the hour is to have some
source of green energy which can be produce with less (or) no
harmful by-products. Our project is to develop an alternative
green source of energy by moving vehicles on the road ways
Influence of Process Parameters on AA7075 in TIG WeldingIJARTES
Influence of Process Parameters on AA7075 in
TIG Welding
Aluminium Alloy is containing high strength,
light weight and good Corrosion resistance. Then Gas
tungsten arc welding (GTAW) is an important joining
method for high strength aluminium alloys using
applications in transport applications like that marine,
aerospace, bicycle components, marine Engine components,
External throw away tanks for military aircrafts and other
industries. Gas tungsten arc welding have been used to
investigate the Weldability of high strength aluminium
alloys. Some important GTAW process parameters and their
effects on weld quality are discussed. Mechanical properties
of welds such as tensile strength and hardness properties are
discussed. The aim of the report is to investigation in GTAW
of high strength aluminium alloy 7075 and to provide a basis
for follow-on research.
The document discusses stress analysis and durability studies of spur gears using finite element analysis tools. It outlines how FEA can be used to model contact stresses and bending stresses in gears to better understand gear failure from factors like pitting. The analysis aims to reduce transmission error and thereby noise generated by more accurately predicting stresses, stiffness, and life of gears.
Ijartes v2-i1-001Evaluation of Changeability Indicator in Component Based Sof...IJARTES
The maintaining of software system is a major
cost concern. The maintaining of a software system depends
on how the changes made to it. The maintainability of a system
depending on the folw of software, its design pattern and
CBSS. In Maintainability phase of a sotware system there are
4 parts, like analyzing, testing, stability, and changes made to
it. In some side areas, these systems emerged very rapidly.
There are many companies which purchase software instead
of developing it .These companies do not have any interst in
the testing of the system but wants to like smoothness in the
flow of the system during changes.
Changeability is one of the characteristics of maintainability.
Software changeability is associated with refactoring which
makes code simpler and easier to maintain (enable all
programmers to improve their code).Factors that affect
changeability include coupling between the modules, lack of
code comments, naming of functions and variables.
Basically,”changeabilty” is the ability of a product or software
to be able to change the structure of the program. It is the rate
the product allows the modification to its components.
In this paper changeability based cost estimation is done.
Initially we take four components; these components are
evaluated based on the coupling, cohesion and Interface
metrix. Next some changes are made to the existing
components and than again these components are evaluated.
Now, on the basis of these two evaluations some conclusion is
made for changeability cost.
Web Personalization Using Usage Based Clustering
In today’s internet environment it is more difficult to
access the relevant information from the web. Because
www is a vast data warehouse of web pages and links .On
internet huge amount of information is available which
are approximately 1 millions of pages are added day to
day. To get the “right” information from such warehouse
to the user and to avoid website exploration web
personalization get needed. It is the life blood of web
usages mining and e-learning process to improve the
system and its design as per the user’s interest. It acts as
a tool to avoid the content over loading on websites for
effective web navigation. Here we present web
personalization which introduces web mining that is
application of a data mining.
The document describes an Adaptive Source Provision System (ASPS) proposed to control traffic rates and ensure load balancing in WiMAX networks. The system considers relay stations and uses an adaptive resource management approach. When new users arrive, their data rates are computed and compared to relay station data rates. If a user's rate is lower, the base station's rate is also compared. Connections are switched from congested to non-congested stations to minimize network load and balance traffic. The system aims to improve traffic management and load balancing compared to existing approaches.
This document summarizes research on enhancing the DSR routing protocol to prevent distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It discusses how DDoS attacks work, the challenges they present for MANETs due to their dynamic nature, and existing research on DDoS attack detection and prevention. The document reviews literature on analyzing DDoS attack behaviors and properties, characterizing attack traffic patterns, and using statistical analysis and neural networks to identify attacks. The goal of the research is to develop an enhanced DSR protocol that can detect and mitigate DDoS attacks in MANETs more effectively than previous approaches.
This document compares four clustering algorithms (K-means, hierarchical, EM, and density-based) using the WEKA tool. It applies the algorithms to a dataset of software classes and evaluates them based on number of clusters, time to build models, squared errors, and log likelihood. The results show that K-means performs best in terms of time to build models, while density-based clustering performs best in terms of log likelihood. Overall, the document concludes that K-means is the best algorithm for this dataset because it balances low runtime and good clustering accuracy.
This document discusses surface reconstruction from point cloud data. It describes how surface reconstruction involves three phases: initial surface estimation, mesh optimization, and smooth surface optimization. The crust algorithm and umbrella filtering are discussed as methods for surface reconstruction from point clouds. Challenges in surface reconstruction like noise, lack of normal vectors, non-uniform sampling, and holes are also outlined. The document reviews several related studies on surface reconstruction techniques.
This document analyzes power density in LTE femtocells. It discusses how femtocells can be deployed to improve coverage in areas where LTE networks have little to no coverage, such as inside buildings. The document describes an experiment conducted using NS-3 simulation software to analyze how transmitted power and power consumption are affected by increasing the number of femtocells. The results show that transmitted power increases linearly with additional femtocells up to a threshold, but rises more sharply above the threshold, while power consumption increases linearly with no sharp rises.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.