Ramanpreet Kaur ¹, Amandeep Kaur ¹

Affiliations
1 Department of CSE, Chandigarh University, Gharuan, Mohali - 140413, Punjab, IN

Abstract

This paper demonstrated the outcomes of the research of a number of general document clustering and classification methods. Objectives: This research improves the clustering. Its objective is to create a system which reduces the retrieval time of text documents from clusters. Method: In this paper, we propose a new method supporting clustering and classification, using k-means with feed forward neural networks using MATLAB. We use k-mean for the clustering of text documents and neural networks for classification of text documents. Findings: Earlier various techniques have come up like semi supervised models for labelled text, namely Partially Labeled Dirichlet Allocation and the Partially Labeled Dirichlet Process, genetic algorithm, Guassian distribution, hybrid genetic algorithm, fast k means global, k-means clustering. But all these techniques have their merits as well as demerits and the common thing is that these techniques are very time consuming. That is why the main aim of the work is to develop the model based on supervised as well as unsupervised techniques to achieve the similarity between documents. Improvements: To remove that time consuming problem we used neural networks for classification and k-means for clustering. We developed a model based on supervised as well as unsupervised technique to achieve the similarity between documents.

Keywords

Artificial Neural Network, Cosine Similarity and Data Mining, K-mean Algorithm, Similarity Measure Function, Text Document Clustering.

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Amandeep Kaur ¹, Rachna Soni ²

Affiliations
1 Faculty of Computer Applications, Chitkara University, Rajpura - 140401, Punjab, IN
2 Faculty of Computer Applications, DAV College, Yamuna Nagar - 135001, Haryana, IN

Abstract

Background/Objectives: The web client gets easily lost in the web’s rich hyper structure as the utilization of web is expanding more step by step. The primary point of proprietor of the website is to give the important data in terms of satisfactory QoS (Quality of Service) factors like throughput, response time, accuracy and content availability. From the client point of view, Web Service based QoS Discovery is a multi-criteria decision mechanism that requires knowledge about the service and its QoS description. These clients are not experienced enough to acquire the best selection of web service and trust the QoS information published by the provider. Methods/Analysis: The existing t Model was used with XML based SOAP protocol in order to solve the problem of UDDI registry which holds QoS description. Findings: The new discovery approach is expected to be the solution for contemporary web service discovery problems. A comparative performance analysis of prominent page rank algorithms was made on the basis of metrics like throughput, response time, recall rate and precision rate etc. Simulation Interface has been designed for classification algorithms. The program is developed for the Fuzzy Logic, Naïve Bayes, Neural Network, Linear Discriminant Analysis and Support Vector Machine using MATLAB application Improvements: The experiment revealed the fact that recall and precision rate are the best to predict the Quality of Service (QoS) supported by various E-Commerce web sites like Amazon, Jabong and Shop Clues etc. Detailed performance analysis further concluded that Neural Network could be the best algorithm to rate the service quality of E-Commerce websites.

Keywords

Fuzzy Classification, Linear Discriminant Analysis, Neural Network, Support Vector, Universal Discovery Description and Integration (UDDI).

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Amandeep Kaur ¹, Vishu Madaan ¹, Prateek Agrawal ¹, Ranjit Kaur ¹, Sanjay Kumar Singh ¹

Affiliations
1 School of Computer Science Engineering, Lovely Professional University, Phagwara - 144411, Punjab, IN

Abstract

Background/Objectives: Banking sector faced many problems like credit assessment, credit worthiness, and credit risk etc. Many techniques are used to solve these problems in artificial intelligence. But these problems are not fully resolved in previous years. Methods/Statistical Analysis: One of the most important problems is credit risk as customer defaulter risk. Recent studies have not discussed about defaulter or non-defaulter customer. This research work has discussed about customer’s defaulter risk as well as credit risk. Findings: A fuzzy expert system has been designed which can categorized customer as defaulter and non- defaulter. The defaulter risk is calculated by considering factors as CS (CIBIL Score), LVR (Loan to Value Ratio), AAL (Already Availed Loan), IRF (Income Ratio Factor). Data of customers are collected from Indian Overseas Bank (IOB) branches. Different defuzzification methods are used to verify the result of customers. It also verified by the expert in banking domain. Further it is also tested on the data of other branches of banks. Application/Improvements: The system can be helpful for the bank employees in decision making process. In addition to this the system can be used for training new employee for loan approval tasks.

Keywords

Banking Sector, Credit Risk, Defaulter, Fuzzy Expert System, Intelligent System.

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Amit Verma ¹, Iqbaldeep Kaur ¹, Amandeep Kaur ¹

Affiliations
1 Department of Computer Science and Engineering, Chandigarh Engineering College, Mohali - 140307, Punjab, IN

Abstract

Objective/Background: This paper highlights the extension of access data to data mining from passing year to recent. Main aim of this paper is comparative study of tools/techniques/algorithms which are used for analysis of huge amount of data. Methods/Statistical Analysis: Different methods of data mining has been studied and discussed which include decision tree, neural network, regression, clustering techniques are implemented on different tools for fraud detection. Different algorithms Adaboost, page rank, K-means used for data mining are also discussed. For generate relevant information from data streams, frequent pattern generation tree algorithm is also implemented and discussed. Findings: Out of so many available algorithms decision tree has been found out to be the most suitable for mining data provided the data is restricted to some thousand of entries. The most prominent feature as its advantage lies in its clear illustration in the form of graphical tree with inherent tree structure capability. However the concern about ambiguity should be carefully dealt with maintains consistency. Applications: For the extraction of the relevant data, data mining is helpful in various ways. The various areas where data mining is being used have also been discussed in the paper. Future Scope: The scope of the paper extends from an exhaustive survey and analysis of all available empirical and conceptual techniques and tools in the area of data mining.

Keywords

Association Rule Mining, Classification, Clustering, Data, Data Mining, Decision tree, Neural Network.

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Gagan preet Kaur Marwah ¹, Amandeep Kaur ¹, Mohinder Bassi ¹

Affiliations
1 Lovely Professional |University, Phagwara - 144411, Punjab, IN

Abstract

Home Security has been a major issue where crime is increasing and everybody wants to take proper measures to prevent intrusion. To fulfill this requirement, we opted this system named ‘e-Authenticator’. This system possesses wide range of features and made of familiar but vital technologies such as RFID and GSM Communication. The combinations of these technologies interfaced with the microcontrollers are the building blocks of our paper. The main goal of this paper is to design and implement an authentication cum security system based on RFID and GSM technology which can be organized in homes, secured offices and banks. We have implemented an authentication cum security system based on RFID and GSM technology containing door locking system using RFID and GSM which can activate, authenticate and validate the user and unlock the door in real time for secure access. The main advantage of using passive RFID and GSM is because it is more secure than other systems.

Keywords

Radio Frequency Identification (RFID), Global System for Mobile Communications (GSM), Short Message Service (SMS), One Time Password (OTP).

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Amandeep Kaur ¹, Gurpreet Singh ¹, Gurpreet Singh ¹, Kanwaljeet Singh ¹, Kanwaljeet Singh ¹

Affiliations
1 Electronics and Communication Engineering Department, Lovely Professional University, Phagwara - 144806, Punjab,, IN

Abstract

In OFDM (Orthogonal Frequency Division Multiplexing) to minimize effect of Inter-carrier interference the proposed technique Conjugate transmission with Zero padding and adaptive receiver is proposed in this research article. To transmit the signal according to proposed scheme, first regular OFDM signal is transmitted as a signal in the first path and conjugate signal of regular OFDM is transmitted using proposed algorithm in second path. Two consecutive symbols of the proposed OFDM signal is transmitter after padding Zeros between them to minimize the effect of inter-carrier interference forbetter time and frequency synchronization between transmitter and receiver signal. To adaptively update the frequency offset error receiver is designed with block least mean-squared algorithm (BLMS). BPSK, QPSK and 16-QAM modulation techniques are used and simulation results are carried out using MATLab software. Simulation results for proposed scheme are compared with regular OFDM system, Conjugate Cancellation (CC) and Phase Rotation Conjugate technique(PRCC) with reference to BER and simulation graphs shows that proposed scheme shows better BER rate performance as comparison to conventional techniques for AWGN wireless channel.

Keywords

Adaptive Receiver, Block Least Mean-Squared (BLMS) Algorithm, Inter-Carrier Interference (ICI), Orthogonal Frequency Division Multiplexing (OFDM).

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Savita ¹, Amanpreet Kaur ¹, Amanpreet Sandhu ¹, Isha Gupta ¹, Amandeep Kaur ², Sonam Dhingra ³

Affiliations
1 Department of Electronics and Communication Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University Chandigarh – 140401, Punjab, IN
2 Department of Computer Science Engineering, Chitkara University Institute of Engineering and Technology. Chitkara University Chandigarh – 140401, Punjab, IN
3 Kurukshetra University, Kurukshetra – 136119, Haryana, IN

Abstract

An energy efficient Telugu Unicode Reader has been designed in the following research paper. Telugu Unicode reader design has range of characters from 0C00-0C7F. It is most spoken script for Telugu people. This script is also used for writing Sanskrit texts. Telugu script shares many similarities with the Kannada script and is derived from old Kannada script. In the following paper Telugu Unicode reader code has been implemented on Xilinx ISE design suit 14.2. and is synthesized on Virtex-6 and Artix-7 FPGA technology by applying frequency scaling technique. This Unicode reader design is synthesized on different frequencies of 1THz, 100GHz, 10GHz, 10GHz, 1GHz, 100MHz, 10MHz, 1MHz. This Telugu Unicode reader can detect vowels, consonants, digits etc of Telugu language.

Keywords

Energy Efficient Hardware Design, FPGA technology, Frequency Scaling, Telugu Unicode Reader, Xilinx

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Amandeep Kaur ¹, Sangeeta Sharma ¹

Affiliations
1 Department of Applied Sciences, Shaheed Bhagat Singh State Technical Campus. Ferozepur – 152004, Punjab, IN

Abstract

Objectives: To explore maximum adsorption efficiency towards Removal of commonly occurring Heavy metals from waste water by using various Adsorbents. Methods/Statistical Analysis: In this review paper, we have compiled scattered available research work related to use of various adsorbents for the removal of commonly occurring heavy metals present in effluent and have calculated adsorption efficiency of all the adsorbents used by different researchers just to find out the best and most efficient adsorbent for the removal of particular metal. Findings: It has been found that maximum adsorption efficiency for the Zinc metal is obtained by using Cassava waste (55.9% removed), Cadmium by using Smectite Clay particle (97%), Lead by using Dried water Hyacinth stems and leaves (90%), Copper and Nickel by using Sugar Baggase (94.2% & 87%) respectively. Application/Improvements: This paper would be helpful for anybody to find the best and the most efficient adsorbent for the removal of a particular heavy metal present in the effluent.

Keywords

Adsorption, Agricultural Waste, Biosorption, Industrial Waste, Natural Materials

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Sangeeta Sharma ¹, Amandeep Kaur ¹

Affiliations
1 Department of Applied Sciences, Shaheed Bhagat Singh State Technical Campus, Ferozepur – 152004, Punjab, IN

Abstract

Objectives: To explore most suitable and efficient method for the removal of dyes from textile effluent. Methods/ Statistical Analysis: In this paper, scattered information of research work carried out by many researchers related to various methods for the removal of cationic dyes especially Rhodamine-B, Methylene Blue, Crystal Violet, Malachite Green and Safranin-O dye present in textile effluent have been compiled and compared to find out cheap and effective method by calculating their percentage removal. Findings/Recommendations: It has been found that among all the methods reported so far, Adsorption process show promising results and overcomes almost all the demerits of otherwise efficient methods like advanced oxidation and electro coagulation etc. in terms of high cost and sludge problem. So ,the use of natural adsorbents and agricultural/industrial waste materials especially modified flyash, red mud ,activated rice husk , surfactant modified alumina, bentonite clay as adsorbents is recommended for the removal of cationic dyes since they are of less cost/ no cost, easily available and have great affinity for dyes. Moreover, agriculture/industrial waste often poses a disposal problem. So, their use (after chemical treatment) as adsorbent is environmental friendly. Applications/Improvements: This review paper would be helpful to find the most promising method for the removal of cationic dyes from the textile effluent considering the merits and demerits of each method. Much work has been done to explore the most effective and cheap method for the removal of dyes recently but not under the range of operating conditions. In future, more methods need to be explored to study and check removal of dyes from real textile effluent at the industrial level as the dye effluent also contains other harmful pollutants. Attention is to be paid to develop cheaper and more efficient adsorbents from the agriculture/ industrial waste with some modification which would be cost effective. Moreover, management of exhausted adsorbents is also to be taken care of.

Keywords

Biodegradable, Biosorbent, Cationic Dyes, Carcinogenic, Solvent Extraction and Fenton’s Reagent

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