Expert System Software Research Articles

Concept of Expert Software for Welding of Nodes from Inland Vessels

The structural integrity and safety of the vessels depends significantly on the quality of their welded joints, particularly at specific nodes where high-stress concentrations are common. This research leverages computer-aided design, artificial intelligence and materials science advancements to develop an innovative software tool that integrates expert knowledge, and best practices, for inland vessel welding. The proposed expert software system offers several key features, including the visualization of specific ship nodes, their parameters, as well as the residual stresses and strains that are specific to each node. By integrating these functionalities, the software aims to minimize human error, reduce inspection time, and ultimately improve the overall structural reliability of inland vessels.

Expert System Software Framework for Nutritional Analysis and Diet-Related Disease

Nigeria faces a serious health crisis with diet-related diseases, which calls for creative ways to improve nutritional results and public knowledge. In addressing the challenges, this study introduces an Expert System Software Framework for Nutritional Analysis and Diet-Related Diseases, leveraging advanced technologies to address healthcare and nutrition challenges. Developed through rigorous research, the framework offers dynamic capabilities, personalized recommendations, and a user-friendly interface. Key features include customized algorithms, blockchain authentication for security, dynamic scheduling, and robust administrative tools. It fills critical gaps by providing insights into nutritional contents and health impacts of foods, supporting informed decision-making and proactive management of diet-related disorders. The performance evaluation demonstrates a high accuracy rate of 91.7%, ensuring reliability in dietary recommendations. Future directions include integrating wearable technology and AI to provide real-time health data for personalized dietary recommendations. This framework sets a new standard in nutritional analysis and disease management, contributing to advancements in healthcare and nutrition. Its recommendations for sustained engagement, collaboration with medical professionals, and global expansion aim to improve user outcomes and quality of life beyond the Nigerian setting.

SELECTION AND MANAGBMENT OF EARTH.MOVING EQUIPMENT BY EXPERT SYSTEM

his study involves the development of expert systems software to present the necessary experience covering the variotrs cases of the earth-moving plant selection and management. These parts of information have been inserted to the system are from experts' experience, previous researches and literatures rulated to the policy of earthmoving plant. The designed expert system allows storing new experiences and equipment easily, it has high degree of flexibility and modification. As a result, this system helps the engineer at the construction site to take decision by him self. It can be used as a training tool for young civil engineering students to justiff their equipment selection. Also, the system provided with visualization cornponent to help inexperience engineers to grasp complicated concepts and visualize a construction method without visiting construction sites. The video effects of various tvpes of earthmoving equipment during earthmoving operation were integrated to the system.

Development of a Delphi Based Ultrasonic Testing Expert System

A person who has the expertise to operate ultrasonic testing in the field of ultrasonic called experts. Currently very difficult to obtain an ultrasonic expert in an industry. For the expert knowledge of ultrasonic testing is adopted in the computer system. This system called Expert System Type of Disability Determination Using Ultrasonic Welding The Delphi Program. This expert system is used to determine the classification of weld defects in determining the acceptance / rejection of defective welds. In the expert system can also be used to determine the type of weld defects based on defect indications obtained. In addition to the expert system there is an explanation of ultrasonic, calibration procedures and procedures for ultrasonic inspection. In the expert system is the input data that shows an ultrasonic flaw manually entered into the computer. In building an expert system software to use Delphi 7 and Inno Compiler Set Up the installer. Expert systems can be used by people who are just learning the ultrasonic as a tool to determine the acceptance / rejection of defective welds. The results showed that the Expert System Determining the type of defect indications welding able to identify all the defective welds of the inspection. Acceptance of material is observed in accordance with AWS D1.1 acceptance

The effect of agroforestry farming on wood quality and timber industry and its supportation by Horizon 2020

One of the goals of the European Union’s agroforestry plans is to alleviate the shortage of timber in Europe caused by the growing demand for hardwoods and the declining import of tropical timber. The study shows which tree species can be considered in agroforestry systems in Europe, and which of them can be used as raw material for the wood industry and what quality of wood can be produced in agroforestry systems. Since 2005, the European Union has been officially encouraging farmers to plant the crops in an agroforestry system and parallel try to produce trunks for high quality timber. By analysing the current economic developments of the European Union, especially Horizon 2020, our study provides an overview of what can be expected by the participants of the agroforestry sector and the related primary wood industry in the European Union now and in the future. In addition to the distribution analysis, indices describing projects have also been created. Rank correlation was used to examine the relationship between them. Possible decision mechanisms were also outlined using a custom-built expert software system.

Sistem Pakar Untuk Diagnosis Penyakit Ayam Dengan Menggunakan Metode Certainty Factor (CF) Berbasis Web

Abstract Currently, expert systems are widely used in various fields, one of which is the use of expert systems in the field of animal health such as chickens. In the world of chicken farming, every farmer, both small scale and large scale, pays attention to the health of chickens, where health will affect profits. However, many of the community breeders find it quite difficult to get information about livestock problems, such as the process of recognizing quickly and accurately, it is difficult to detect the types of diseases that are caused which are generally similar and the same and there are other difficulties because there are other things so they are reluctant to come to the veterinarian. Based on these constraints, the authors propose an expert system software engineering system to determine chicken disease using certainty factor methods. This system can help in determining a decision and providing more accurate information, because system decisions not only rely on rules, but also generate probability and percentage values using certainty factor methods so that it is easier for small scale breeders and can save time and costs as well as It makes it easier for users to recognize the types of diseases, especially those caused by viruses and bacteria, because the system user only selects the symptoms that appear on the consultation page and after that a decision of the disease and its solution will appear.

The Impact of Use of Expert Systems on Improving Effectiveness of Accounting Information Systems: Applied Study in Iraqi Commercial Banks

The study aimed at identifying the concept, characteristics, types, advantages, and dimensions of expert systems, and the concept and effectiveness of accounting information systems in Iraqi banks, and found a moral effect on the dimensions of expert systems (hardware, equipment, software and applications) on the effectiveness of accounting information systems in Iraqi commercial banks in their dimensions (system quality, information quality, user satisfaction). Expert systems also assist the banks accounting information systems in obtaining timely, accurate, appropriate and highly reliable financial and non-financial data and information. The study recommended the necessity of involving accountants in the development of computer-based accounting information systems in all different stages related to systems development, and the necessity of working on developing expert systems in banks in a way that suits the technical developments taking place in providing services and their different applications that take place in the business environment to meet the needs and requirements of beneficiaries.

The Moderating Effect of Educational Background on the Efficacy of a Computer-Based Brief Intervention Addressing the Full Spectrum of Alcohol Use: Randomized Controlled Trial.

BackgroundThe alcohol-attributable burden of disease is high among socially disadvantaged individuals. Interventional efforts intending to have a public health impact should also address the reduction of social inequalities due to alcohol.ObjectiveThe aim was to test the moderating role of educational background on the efficacy of a computer-based brief intervention addressing the full spectrum of alcohol use.MethodsWe recruited 1646 adults from the general population aged 18 to 64 years (920 women, 55.9%; mean age 31 years; 574 with less than 12 years of school education, 34.9%) who reported alcohol use in the past year. The participants were randomly assigned a brief alcohol intervention or to assessment only (participation rate, 66.9%, 1646/2463 eligible persons). Recruitment took place in a municipal registry office in one German city. All participants filled out a self-administered, tablet-based survey during the recruitment process and were assessed 3, 6, and 12 months later by study assistants via computer-assisted telephone interviews. The intervention consisted of 3 computer-generated and individualized feedback letters that were sent via mail at baseline, month 3, and month 6. The intervention was based on the transtheoretical model of behavior change and expert system software that generated the feedback letters automatically according to previously defined decision rules. The outcome was self-reported change in number of alcoholic drinks per week over 12 months. The moderator was school education according to highest general educational degree (less than 12 years of education vs 12 years or more). Covariates were sex, age, employment, smoking, and alcohol-related risk level.ResultsLatent growth modeling revealed that the intervention effect after 12 months was moderated by educational background (incidence rate ratio 1.38, 95% CI 1.08-1.76). Individuals with less than 12 years of school education increased their weekly alcohol use to a lesser extent when they received the intervention compared to assessment only (incidence rate ratio 1.30, 95% CI 1.05-1.62; Bayes factor 3.82). No difference was found between groups (incidence rate ratio 0.95, 95% CI 0.84-1.07; Bayes factor 0.30) among those with 12 or more years of school education.ConclusionsThe efficacy of an individualized brief alcohol intervention was moderated by the participants’ educational background. Alcohol users with less than 12 years of school education benefited, whereas those with 12 or more years did not. People with lower levels of education might be more receptive to the behavior change mechanisms used by brief alcohol interventions. The intervention approach may support the reduction of health inequalities in the population at large if individuals with low or medium education can be reached.Trial RegistrationGerman Clinical Trials Register DRKS00014274; https://www.drks.de/DRKS00014274

SISTEM PAKAR DIAGNOSA PENYAKIT REFRAKSI MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

Refractive diseases often occur in the community. Many people are not aware of the symptoms, some are aware that they are reluctant to consult directly with a doctor for reason that they are afraid of spending a large amount of money just to diagnose refractive disease. Based on some these problems, system that can adopt ability of an expert is an expert system. With this expert system, it can be a solution for community in diagnosing refractive diseases. Expert system diagnose refractive disease was built using the forward chaining method. Software designed using prototype method by using Design Science Research method. Software testing uses black-box testing method, program code units with boundary value testing techniques. Results of this software design in the form of software that’s named "Expert system for diagnosing refractive diseases". This software is designed using web-based programming language, HTML, CSS, PHP with MySQL database. Results displayed by system in the form of diagnostic results containing the disease diagnosed. These results are based on symptoms that have been filled in by user. This expert system software can provide references and assist users in providing information about their illness, initial treatment solutions and prevention of refractive diseases.

Sistem Pakar Menggunakan Metode Bayes untuk Analisis Penyakit Mulut pada Kucing

The expert system using the Bayes method results in an analysis of oral diseases in cats. This expert system can be used by the general public to detect oral diseases in cats without having to come directly to the vet. Building an expert system software using the Bayes method to diagnose oral disease in cats equipped with solutions according to the indicated disease. The data that is processed in the expert system for detecting oral disease in cats is obtained from the results of interviews with animal disease specialists. The dataset used consists of 8 diseases. This expert system was built using the Bayes method. This expert system is made using a rule-based application and uses the PHP and MySQL programming languages. The results of testing this method are the types of diseases according to the symptoms entered by the user and solutions for disease prevention indicated by the system. This expert system is useful for the community to find out oral diseases in cats without having to come directly to a veterinarian. And can help doctors work in improving the accuracy of oral disease analysis in cats.

Hybrid Fuzzy Expert System and Difference Equation Software Filter for Biomedical Sensors

In this study, a hybridized Fuzzy Expert System (FES) and Difference Equation (DE) algorithm is proposed to filter the erroneous and noisy data obtained while reading data from sensors with microcontrollers. The results produced by the proposed software filter were tested with data read from the digital air flow sensor, digital pressure sensor, and analog chest movement sensor, which are frequently used in the medical field and are commercially available today. With the proposed software filter and other software filters in the literature, the data were instantly read from these sensors. The operation frequency of the proposed software filter was calculated as 81.8 % for the AirFlow sensor, 83.37 % for the pressure sensor and 87.3 % for the chest movement sensor. With the proposed software filter, the root mean square error (RMSE) values of the data read from the airflow, pressure and chest movement sensors were calculated as 0.01, 0.03 and 0.01 respectively, standard deviation (S) values were calculated as 0.003, 0.02 and 0.266 respectively, signal to noise ratio (SNR) values were calculated as 54, 42 and 55 respectively, mean absolute error (MAE) values were calculated as 0.009, 0.027 and 0.008 respectively. These results show that the proposed software filter produces more successful results in terms of operating frequency and filtering success than other algorithms compared in this study.

Fuzzy expert system based on the principles of multi-criteria choice of alternatives using fuzzy inference rules

The article presents the results of the development of the expert system software module based on fuzzy logic methods, which allows calculating the most profitable alternative based on a certain evaluation matrix of alternatives and criteria, and certain selection rules. The problem of increasing the efficiency of decision-making of various tasks with the help of a fuzzy expert system is solved. The paper shows the implementation of one of the modules of the expert system using the fuzzy logic apparatus in order to select a journal to publish an article.

The Expert Systems Business: How It Grew and Died

This article describes the computer environment in the 1980s, the birth of the expert systems software business, the proliferation of companies created to sell expert systems products and services, their various products and business strategies, and finally their collapse and demise in the early 1990s. We describe the marketing strategies adopted by various vendors and the various market niches that evolved during the late 1980s and early 1990s. We offer speculation on the reasons for the growth and collapse of the expert systems market in the 1990s.

Highly diluted medication reduces tissue parasitism and inflammation in mice infected with Trypanosoma cruzi

Background: The search for new therapeutic approaches with fewer side effects and better treatment efficacy to the Chagas Disease has been a major challenge. 
 Aim: To evaluate the effects of Kalium causticum, Conium maculatum, and Lycopodium clavatum 13 cH in mice inoculated with the Y strain of Trypanosoma cruzi. 
 Materials and methods: In a blind, controlled, randomized study, 102 male Swiss mice, eight weeks old, were inoculated with 1,400 trypomastigotes of the Y strain of T. cruzi and distributed into the following groups: CI (treated with 7% hydroalcoholic solution), Ca (treated with Kalium causticum 13cH), Co (treated with Conium maculatum 13cH), and Ly (treated with Lycopodium clavatum 13cH). The medicines were selected by three homeopaths using Lince Expert System Software (Albuquerque, NM, USA), considering the behavioral characteristics of the mice. The treatments were performed 48 hours before and 48, 96, and 144 hours after infection [1]. The following parameters were evaluated: infectivity, prepatent period, parasitemia peak, total parasitemia, tissue tropism, inflammatory infiltrate, and survival. 
 Results: The prepatent period was greater in the Ly group than in the CI group (p = 0.02). The number of trypomastigotes on the 8th day after infection was lower in the Ca group than in the CI group (p < 0.05). Total parasitemia was significantly lower in the Ca, Co, and Ly groups than in the CI group. On the 12th day after infection, the Ca, Co, and Ly groups had fewer nests of amastigotes and amastigotes/nest in the heart than the CI group (p < 0.05) (Figure-I). A decrease in the number of nests and amastigotes in the intestine were observed in the Ly group compared with the CI group (p < 0.05). In the liver (day 12), Ly significantly prevented the formation of inflammatory foci compared with the other groups. In muscle, Co and Ly decreased the formation of inflammatory foci compared with CI (p < 0.05). Ly afforded greater animal survival compared with CI, Ca, and Co (p < 0.05). The animals in the Co group died prematurely compared with the CI group (p = 0.031). (Figure-II)
 Conclusion: All of the experimental homeopathic medications with 13cH dynamization studied herein reduced the parasite peak and total parasitemia. Ly had significantly more benefits in the treatment of mice infected with T. cruzi, reducing the number of blood parasites, amastigotes nests in tissue and the number of amastigotes per nest, resulting in the increasing animal survival. The data may contribute to changes in management strategies in individuals with Chagas disease.

Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.

PERANCANGAN SISTEM INFORMASI PENCARIAN KERUSAKAN SEPEDA MOTOR SISTEM ELECTRONIC FUEL IGNATION (EFI)

Have researched a sistym information about malfunction problems sitem search motor cycle which the device uses advanced methods of reasoning in expert systems . Troubelshooting on motor cycle generally used manually, by determining the symptoms theoretically derived from the experiences so that a technician and student / student often neglected problem finding time and accuracy in solving the problems of motor cycle with EFI sistem repair problems .The method used is the observation on trouble shooting to EFI sensor sistem and collect data from any symptoms of damage to television later in the evaluation of the raw data is entered into a database to an expert system by utilizing visual basic programming .The results will produce a search expert software system that can damage on EFI sensor sparepart can help the technicians and users of the motor cycle itself to recognize and deal damage that occurs EFI component sistem .

Sistem Pakar Menggunakan Metode Certainty Factor dalam Akurasi Identifikasi Penyakit Panleukopenia pada Kucing

Feline Panleukopenia is a disorder caused by inflammation of Feline Parvovirus. This viral inflammation can trigger inflammation of the digestive system in cats and can also attack the cat's bone marrow, and the total white blood cells in the cat's body will decrease. At this time, many people do not know how to accurately identify the disease Feline Panleukopenia in cats and as a result of that cats who suffer from it experience illness and even death. This study aims to determine the level of accuracy in identifying Panleukopenia in cats. There are several types of symptoms that refer to Feline Panleukopenia. Furthermore, the data is processed manually with the Certainty Factor method and continued by using a website-based expert system software. The processing stages are rule solving, determining the weight value of each symptom and calculating the Certainty Factor value with the rule formula. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 5 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of feline panleukopenia. Expert testing systems have been able to specifically identify Feline Panleukopenia. Through the Certainty Factor method, the level of accuracy that can be obtained is quite accurate and can help veterinarians improve their accuracy to identify Feline Panleukopenia in cats.

Sistem Pakar Menggunakan Metode Certainty Factor Dalam Akurasi Identifikasi Penyakit Panleukopenia Pada Kucing

Feline Panleukopenia is a disorder caused by inflammation of Feline Parvovirus. This viral inflammation can trigger inflammation of the digestive system in cats and can also attack the cat's bone marrow, and the total white blood cells in the cat's body will decrease. At this time, many people do not know how to accurately identify the disease Feline Panleukopenia in cats and as a result of that cats who suffer from it experience illness and even death. This study aims to determine the level of accuracy in identifying Panleukopenia in cats. There are several types of symptoms that refer to Feline Panleukopenia. Furthermore, the data is processed manually with the Certainty Factor method and continued by using a website-based expert system software. The processing stages are rule solving, determining the weight value of each symptom and calculating the Certainty Factor value with the rule formula. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 5 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of feline panleukopenia. Expert testing systems have been able to specifically identify Feline Panleukopenia. Through the Certainty Factor method, the level of accuracy that can be obtained is quite accurate and can help veterinarians improve their accuracy to identify Feline Panleukopenia in cats.

Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.

Syahputra Sistem Pakar Metode Case Based Reasoning Untuk Mengidentifikasi Penyakit Psoriasis

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.