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Expert system thesis

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Many college students majoring in Information Technology are difficult to get the thesis title topic even though it has been reading many journals and looking for some references. Therefore to make it easier college students, then the author wants to create an application where college students majoring in Information Technology can more easily get the thesis title topic so the work of thesis becomes more fluent and not obstructed.

This app is web based. In system design, the author used several methods in his research that is method of Analyze, Design, and Implementation. Methods in the design of this expert system even this also used forward chaining method as tracking ahead and best first search method. And also using data collection method mean literature study and questionnaire from system that has been created. The result of Expert System of Thesis Title Topic Selection with Forward Chaining method web based expected to be useful and helpfully college students in getting the thesis title topic.

Based on questionnaire that has been shared and filled, it can be said that the Expert System of Thesis Title Topic Selection with Forward Chaining Method Web Based is helpful and beneficial for the college students because it helps college student Information Technology in getting Thesis Title.

The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to journal Tech-E, Universitas Buddhi Dharma as publisher of the journal.

Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc.

As reported in the literature, As reported in the literature, evaluation of journals individually, to detect anomalies from vast and dynamically changing citation network is not efficient. The primary purpose of this work is to define a diverse feature set that can identify such cases of extreme outliers and reason them.

The sample size is narrowed down using an unsupervised clustering algorithm in the absence of a labeled training data set. Next, time-series IF data is analyzed to detect point outliers. Further, microscopic features are identified to reason them.

Results reflected from the F-value after ANOVA analysis reveals that geometrical patterns self-loop, pairwise and group mutual-citation among journals, an abrupt increase in the paper count of donor and corresponding IF inflation of recipient are some of the essential features. Microscopic features include social factor calculation of revised IF after removing directed self or mutual-citation , impact of the field of study, impact of publication house and author factor that includes author self and mutual-citation.

The significance of this work is to ensure that the quality of a journal is withheld without compromising research integrity by controlling or auditing individual features periodically. In this way, decisions A problem-oriented, project organized, distance learning program in health informatics. Tanaman lemon merupakan salah satu famili dari tanaman jeruk yang dikenal dengan nama citrun, buahnya berbentuk lonjong, rasanya asam, sepet, sedikit manis.

Dibalik rasanya yang asam jeruk lemon Citrus limon merupakan tanaman yang Dibalik rasanya yang asam jeruk lemon Citrus limon merupakan tanaman yang sangat bermanfaat bagi kesehatan maupun untuk kecantikan. Perawatan tanaman ini sebenarnya tidak terlalu rumit, tetapi apabila meremehkannya hasil dari lemon yang dihasilkan tidak akan maksimal.

Oleh karena itu orang yang ingin membudidayakan lemon perlu seorang yang ahli dalam bidang tanaman untuk mengatasi penyakit yang akan datang. Untuk membantu pembudidaya dalam mendiagnosis suatu penyakit maka dibutuhkan sebuah sistem yang memiliki kemampuan dan cara berfikir seperti ahli tersebut. Didalam sistem pakar yang saya rancang akan menggunakan metode Certainly Factor. Penelitian ini menghasilkan diagnosis penyakit beserta perawatan tanaman tersebut.

Applying semantic data modeling techniques to large mass storage system designs. In the prototype, a simple instance of an SDM was created to support a small part of a hypothetical In the prototype, a simple instance of an SDM was created to support a small part of a hypothetical application for the earth observing system data information system EOSDIS. The massive amounts data that EOSDIS will generate require the definition and design of a powerful information-management system in order to support even the most basic needs of the project.

In this effort, the application domain is characterized by a semantic-like network that represents the data content and the relationships between the data considering both user views and a more generalized domain architectural view of the information world.

The data in the domain are represented by objects that define classes, types, and instances of the data. In addition, data properties are selectively inherited between parent and daughter relationships in the domain. Based on the SDM, a Compiler design for fuzzy classifier systems. The design of the compiler is based on the building of Grammars described like predicates, which represent the system rules. We propose also an interface that makes easier to the user the task of writing, compiling and administering the rules stored in the Knowledge Base.

Developing an expert system for diagnosis of problem gas chromatographic data. Parameter selection for and implementation of a web-based decision-support tool to predict extubation outcome in premature infants. Automatic expert system for fuzzy control of robot trajectory in joint space. Human ketosteroid receptors interact with hazardous phthalate plasticizers and their metabolites: an in silico study.

Apologise, but, prolotherapy a literature review and retrospective study something

As one of the aspects of artificial intelligence AI , expert systems have achieved considerable success in recent years in medical science, chemistry, and engineering. However, building an expert system is a difficult task, the most crucial problem being that of knowledge acquisition.

Obtaining expert knowledge is a difficult and time-consuming process. Moreover, since FMSs represent a relatively new technology, experts capable of FMS planning and scheduling are generally unavailable. One possible solution for this problem is to train a non-expert operator, allow the operator to practice with a simulated system and accumulate experience, and then build an expert system using the newly acquired knowledge. To this end, an interactive graphic simulation method for the effective utilization of human pattern-recognition ability is proposed.

Once the required knowledge is elicited through an interactive graphic simulation model, an expert system is developed from acquired rules. The method includes an FMS simulation model, a Gantt chart-based schedule, a simulator, an expert system, and a human operator.

First, an initial schedule is simulated, utilizing the expert system to determine the loading sequence and a dispatching rule. It was determined that a human operator can obtain near-optimum schedules in short time periods, at the same time gaining valuable experience in use of the scheduling process. Furthermore, it was determined that this model can be a useful training device for inexperienced operators and a time-saving decision-making aid for expert schedulers.

CVista PdfCompressor 5. Relationships Parents: This work has no parents. Kim, Joohee. Expert systems have been suggested as a solution for difficult problems, including FMS scheduling. Doctor of Philosophy Ph. In addition, data properties are selectively inherited between parent and daughter relationships in the domain. Based on the SDM, a Compiler design for fuzzy classifier systems. The design of the compiler is based on the building of Grammars described like predicates, which represent the system rules.

We propose also an interface that makes easier to the user the task of writing, compiling and administering the rules stored in the Knowledge Base. Developing an expert system for diagnosis of problem gas chromatographic data.

Parameter selection for and implementation of a web-based decision-support tool to predict extubation outcome in premature infants. Automatic expert system for fuzzy control of robot trajectory in joint space. Human ketosteroid receptors interact with hazardous phthalate plasticizers and their metabolites: an in silico study. Phthalic acid esters or phthalates are ubiquitous environmental pollutants known for their adverse health effects in test animals and, of late, in humans. Mostly, diphthalates and monophthalates showed the potential for antisteroidal activity by interacting with hAR, hPR and hGR.

Of them, diphenyl phthalate showed the highest G score The mono-iso-decyl phthalate showed the highest G score The mono-iso-decyl phthalate also showed more affinity In addition to these, some other phthalates established comparable interactions with certain aa residues located in the LBD of these receptors, which resulted in higher G scores.

Contrastingly, BPA and some natural ligands tested in this study showed lower G scores with these receptors than certain phthalates reported herein, i. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Machine learning, Soft Computing and applications. Related Topics. Artificial Intelligence. Follow Following.

Computer Science. Information Systems. Artificial Neural Networks. Machine Learning. Knowledge Representation and Reasoning. Fuzzy Logic. Data Mining. Evolutionary Computation. Model-Driven Development. Ads help cover our server costs.

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