Volume 3, Issue 7, 2013

By | September 4, 2018

Design and Analysis of Adaptive Neuro Fuzzy Logic Controlled Wireless Intelligent Telemetry System

Rajwinder Kaur, Kanwalvir Singh Dhindsa
Department of Computer Science and Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, India.

Abstract— Telemetry systems is an innovative design of electronics and computer system which can be used to take measurements from a remote site by using any type of link like Radio link, optical fiber, co-axial cables etc. Telemetry systems can take any of the measurement like pressure, temperature, density, humidity etc. from a target location and sends the taken measurements via wired or wireless links that may be sent over few meters or may be sent over wide range. There are great and flawless changes in various telemetry systems from some past years that brought a nice popularity to use these systems rather than keeping a human eye on measurements. Telemetry systems have made a user free from taking measurements at target site, noting down the readings, turning the machines on or off. In this paper adaptive neuro fuzzy Logic is combined with wireless telemetry systems to control water flow in water/any fluid Tank used in industries.This paper presents the design of a wireless telemetry system for controlling the flow of water in water tanks used in industrial process using adaptive neuro fuzzy logic called adaptive neuro fuzzy inference system. To incorporate artificial intelligence basically fuzzy logic and artificial networks are used. In this research these two models are initially studied. The advantages and disadvantages of both are discussed. Then these two models are compared by taking different parameters. By combining positive measures of fuzzy logic and artificial neural network, adaptive neuro fuzzy logic is considered as better method to incorporate artificial intelligence in the present research work. The resultant system is an assemblage of computer and communication equipments designed to work together for the purpose of measuring and controlling the flow of water in water tanks(tanks may contain any liquid) placed at far side . Besides control, The systems performs monitoring, data logging, alarming and diagnostic functions so that large, complicated process systems can be operated in a safe manner and maintained by a relatively small staff or just by a computer.

Keywords- fuzzy logic; artificial neural networks; adaptive neuro fuzzy inference system; telemetry system; adaptive neuro fuzzy logic.

A Comparative Study of Machine Learning Techniques in Classifying Full-Text Arabic Documents versus Summarized Documents

Khalil Al-Hindi, Eman Al-Thwaib
Computer Information Systems Department, University of Jordan, Jordan.

Abstract—Text classification (TC) can be described as the act of assigning text documents to predefined classes or categories. Its necessity comes from the large amount of electronic documents on the web. The classification accuracy is affected by the content of documents and the classification technique being used. Automatic text summarization is based on identifying the set of sentences that are most important for the overall understanding of document(s). The need for text summarization comes from the large amount of electronic documents and the need for saving processing time. In this research, an automatic text summarizer has been used to summarize documents. Two classification methods have been used to classify Arabic documents before and after applying the summarization, then the classification accuracy of classifying the full documents and summarized documents have been compared. Classification accuracy resulted from classifying full documents is close to that resulted from classifying summarized documents. Nevertheless, memory space required and run time for classifying summarized documents are less than the memory and time needed for classifying full documents.

Keywords- Text Classification; Text Summarization; Naïve Bayes; k-Nearest Neighbors.

A Novel Approach To Enhance a University Information System

Afif Jadalla ALmghawish, Alexandre F. Ossyka
Dept. of Computer Science, AL-Zaytoonah University of Jordan, Jordan.
Issa S. Ottoum, Dept. of Computer Networking, AL-Zaytoonah University of Jordan, Jordan.

Abstract—A new approach is presented for helping a student to go ahead in his\her progress to reach its final aim “Obtaining a Bachelor Degree”. This approach based on an algorithm that enforces and enables a student to follow the curriculum (Advising Plan) when he\she wants to register subjects for a next semester. The proposed algorithm relies upon many factors, such as specifying the subject(s) level, distribution subjects on time table for five days a week, and others. The proposed algorithm will enhance the efficiency of the timetable for both students and administration. It gives a student space for choosing the subjects which in turn enforces a student to go ahead with respect to his study plan that will affect his success in reaching a final goal. For administration it is a good idea to make a student commits his self to respect his suggested curriculum.Keywords- Curriculum; Timetable; Course Level; Course Distribution; University Information System (UIS).

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