Research Cell: An International Journal of Engineering Sciences

Ramanpreet Kaur ¹, Satvir Singh ¹, Bikrampal Kaur ²

Affiliations
1 ECE Department, CEC Landran, Mohali, IN
2 IT Department, CEC Landran, Mohali, IN

Abstract

To aid paraplegics, variety of electric wheelchairs exist in the market. Unfortunately, these cannot be used by persons with higher degree of impairment, such as quadriplegics, i.e. persons who, due to age or illness, cannot move any of their body parts, except head. An attempt is made to make lives of the people suffering from this problem simple and by simpler we mean self-reliant, which will thereby reinstate their confidence and their happiness. The idea is to create a Head Motion Controlled System which allow movement of the patient's wheelchair depending on the movements of the head. We know that a person suffering from quadriplegia can partially move his eyes and tilt his head, thus presenting an opportunity for detecting those movements. We have implemented a technology where a patient sitting on the Wheel Chair is able to move in a direction just by tilting his head in that direction.

Keywords

Aurdino Uno, Ultrasonic Sensors, DC motor, PWM, AVR.

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Ramanpreet Kaur ¹, Gurmeet Kaur ¹

Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN

Abstract

Power has become one of the circuit implementation bottleneck for modern integrated design. As technology advances, system on chip can have more and more components that lead to higher power density. This paper includes the survey onvarious techniques used for implementation of low power systems.

Keywords

Integrated Design, System on Chip, Power Density, Low Power Systems.

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Gurmeet Kaur ¹, Ramanpreet Kaur ¹

Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN

Abstract

The paper presents the concept of existing D fuzzy flip-flop design and analyses the working of the design. The existing design has been studied for its delay parameters and variability. Comparisons with the previous designs has been done to lay down the superiority of the fuzzy design over existing binary flip-flop designs.

Keywords

Binary Flip-Flop, Fuzzy Flip-Flop, D Fuzzy Flip-Flop, Delay, Variability.

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Ramanpreet Kaur ¹, Gaurav Gupta ¹

Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, Punjab, IN

Abstract

The large amount of data is generated by different Information systems are considered of high business value, and data mining algorithms can be used to extract knowledge from data. This paper gives a way to review data mining in knowledge, technique, and application, including classification, clustering, association analysis, time series analysis and outlier analysis, and their application. Also throw light on tools used for data mining.

Keywords

Data Mining, Techniques, Clusting,classification, Association Analysis, Applications, Tools.

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Ramanpreet Kaur ¹, Dhavleesh Rattan ²

Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, IN
2 Department of Computer Engineering, Punjabi University, Patiala, IN

Abstract

Unified Modeling Language (UML) is a language in which pictorial representation makes a great significance. There is a disadvantage of inconsistency in the language. This is a very vast problem of the language which is not resolved yet. A lot of work has been done to remove the problem by the number of researchers but still more work is going on the language. The user has to suffer a lot if the problem get occurred. Consistency is termed as the compatibility of the system in which elements of different diagrams are combined and make a satisfied system which meets the required expectations of the user. In this paper, an automated approach is presented in which parsing technique and consistency rules are used. The consistency of two diagrams, i.e. use case and sequence diagram has been checked. Object Constraint Language (OCL) constraints are used for validation.

Keywords

UML Diagrams, OCL Constraints, Consistency Rules, Parsing Technique, Automated Approach.

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Ramanpreet Kaur ¹, Gurpreet Singh ¹

Affiliations
1 Computer Engineering Department, Punjabi University, Patiala, IN

Abstract

Diabetes mellitus is a chronic disease and a major public health challenge worldwide. According to the International Diabetes Federation, there are currently 246 million diabetic people worldwide, and this number is expected to rise to 380 million by 2025. Diabetes is a standout amongst the most well -known non- transmittable diseases in the world .Vast amount of data available in health care industry is difficult to handle, hence mining is necessary to find the necessary pattern and relationship among the features available. Medical data mining is one major research area where evolutionary algorithms and clustering algorithms play a vital role . Several data mining and machine learning methods have been used for the diagnosis, prognosis, and management of diabetes. Several researchers are using statistical and data mining tools like rapid miner ,weka , KNIME etc. to help health care professionals in the diagnosis of diabetes. The data source for this research is taken from UCI repository. Various experiments are made iteratively by using various techniques on Tanagra and R tool. In this research work, K-Means is used for removing the noisy data and genetic algorithms for finding the optimal set of features with Support Vector Machine (SVM) as classifier for classification. It shows that the proposed method using Tanagra with an accuracy of 76.44 % has attained better results compared to R Tool with an accuracy of 75.39 %.

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