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检索条件"任意字段=International Conference on Inventive Computing and Informatics"

共 197 条记录，以下是41-50 订阅

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A Comparative Study of Customer Churn Prediction in Telecom Industry Using Ensemble Based Classifiers

A Comparative Study of Customer Churn Prediction in Telecom ...

引用

international conference on inventive computing and informatics (ICICI)

作者： Mishra, Abinash Reddy, U. Srinivasulu Natl Inst Technol Dept Comp Applicat Tiruchirappalli Tamil Nadu India

ISBN: (纸本)9781538640319

Churn Prediction plays a vital role in various domains like life insurance, banking and telecom industry. With the current advancement in Machine Learning and Artificial Intelligence, Churn Prediction is more realistic and accurate. It is very much essential for early stage detection of customers who are at high risk of leaving the company or services. In this paper, Ensemble based Classifiers namely Bagging, Boosting and Random Forest were utilized for Churn Prediction in telecom industry. The Ensemble based Classifiers were compared with the well-known classifiers namely Decision Tree, Naive Bayes Classifier and Support Vector Machine (SVM). The experimental results shows that Random Forest has less error rate, low specificity, high sensitivity and greater accuracy of 91.66% as compared to other methods.

关键词： Machine Learning Artificial Intelligence Churn Prediction Telecom Industry Ensemble based Classifiers Base Classifiers

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Removal of Border Noise, Show through and Shadow Correction in Irregularly Illuminated Scanned Document Images

Removal of Border Noise, Show through and Shadow Correction ...

引用

international conference on inventive computing and informatics (ICICI)

作者： Deivalakshmi, S. Natl Inst Technol Dept Elect & Commun Engn Tiruchirappalli 620015 Tamil Nadu India

ISBN: (纸本)9781538640319

Today most of the libraries maintain a digitized version of their document. During the process of scanning the pages of an open book, often problems such as dark borders, show through and shadow are frequently encountered. The shadow is a result of less illumination near the sides of the pages and it degrades the visibility of text near the side. Also any dark areas in the borders mar the appeal of the document. People have carried out various works on removal of such noises in the past. In this paper we have described an effective method based on thresholding to remove show through, combination of horizontal and vertical projection profile and pixel scanning for detection and removal of shadow and dark borders from scanned document images without affecting the useful information contained in the document. The technique was tested on various scanned images and to assess the performance of the method various metrics were calculated and tabulated.

关键词： border noise horizontal and vertical projection profile show through and shadow thresholding

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Energy Distribution and Pricing based on Load Demand Taxonomy in a Smart Grid Tree Network

Energy Distribution and Pricing based on Load Demand Taxonom...

引用

international conference on inventive computing and informatics (ICICI)

作者： Devi, Boddu Rama Susmitha, E. Kakatiya Inst Technol & Sci Dept ECE Warangal 506001 Telangana India

ISBN: (纸本)9781538640319

The energy demand is growing drastically due to the technological developments in the world. It requires a smart energy distribution, scheduling and pricing based on the dynamic load demand. In this paper, a new Load Demand Taxonomy (LDT) based Energy Distribution and Pricing on Smart Grid is proposed. Based on the load demand and load request, the load is classified into different categories. Further, based load Taxonomy, Fuzzy pricing strategies is implemented. An Intelligent Block based Load Shifting Algorithm (IBLS) is proposed to maintain the load balancing and avoids demand request over the queue. From the simulation results it is observed that, the proposed algorithm controls the load demand and the dynamic pricing using load demand taxonomy controls the unit energy charge and provides benefit to the user. The IBLS with low category users to high category users satisfies a number of users and improves system fairness.

关键词： Energy Distribution Incentives Load demand Dynamic Pricing Smart Grid

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Performance Analysis of Solar Power Fed Induction Motor Drive Along With Resonant Converter

Performance Analysis of Solar Power Fed Induction Motor Driv...

引用

international conference on inventive computing and informatics (ICICI)

作者： Tarwatkar, Prafull Madhukar St Vincent Pallotti Coll Engn & Technol Dept Elect Engn Nagpur Maharashtra India

ISBN: (纸本)9781538640319

Day by day the sources of conventional energy are getting depleted. Finding alternative sources of energy is a need of today. Solar energy is abundantly available. The only drawback of this is its cost of processing and storing. If properly utilized and processed, it will be a great concern. In this paper, resonant converter is proposed to increase the voltage level of Solar PV cell required for driving an AC drive. As compared to conventional Inverter transformer topologies and Boost converter, the resonant converter has higher efficiency, smaller size of circuitry;hence the cost is reduced. This paper gives idea about the proposed scheme for 3 ph induction motor drive fed from solar PV cells with resonant converter. To validate the proposed scheme, simulation results are obtained and shown for a 3 ph, 440V, 2.1 kW Induction Motor.

关键词： High frequency transformer Induction motor drive resonant converter Solar PV module

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Comparative Study of Individual and Ensemble Methods of Classification for Credit Scoring

Comparative Study of Individual and Ensemble Methods of Clas...

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international conference on inventive computing and informatics (ICICI)

作者： Singh, Pradeep Natl Inst Technol Raipur Dept Comp Sci & Engn GE Rd Raipur 492010 Chhattisgarh India

ISBN: (纸本)9781538640319

Credit Scoring is the primary method for classifying loan applicants into two classes, namely credible payers and defaulters. In general, credit score is the primary indicator of creditworthiness of the person. This credit scoring technique is used by banks and other money lenders to build a probabilistic predictive model, called a scorecard for estimating the probability of defaulters. In the current global scenario, credit scoring is a major tool for risk evaluation and risk management for all the existing and emerging economies. With the introduction of Basel II Accord, Credit scoring has gained much significance in retail credit industry. In this paper, we performed an extensive comparative in order to classify the credit scoring and identification of best classifier. Furthermore, we used two different categories of classifiers i.e. individual and ensemble. Identification of optimal machine-learning methods for credit scoring applications is a crucial step towards stable creditworthiness of the person. Different parameters Accuracy, AUC, F-measure, precision and recall are used for the evaluation of the results.

关键词： Taiwan credit card machine learning credit scoring

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Image De-noising Algorithm based on Image Reconstruction and Compression Perception

Image De-noising Algorithm based on Image Reconstruction and...

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international conference on inventive computing and informatics (ICICI)

作者： Zhao, Baohui Huang, Wenzhun Wang, Harry Haoxiang Liu, Zhe Xijing Univ Sch Informat Engn Xian Shaanxi Peoples R China GoPercept Lab Ithaca NY 14850 USA

ISBN: (纸本)9781538640319

In this paper, we conduct research on the image de-noising algorithm based on the image reconstruction and compression perception. Compressed sensing theory was proposed by the wide attention of experts in the field, the current compression perception theory has been applied to many fields, such as: basic compressed sensing radar, wireless sensor network as medical image processing. Therefore, we apply it on the area of the image de-noising. Combined with K-SVD algorithm and structure similarity measures, this paper puts forward the sparse representation of image de-noising algorithm based on structure similarity, to improve the dictionary. The performance and effectiveness are verified through the final experiment part.

关键词： De-noising Algorithm Image Reconstruction Compression Perception System

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Design of Compact Dual Band Quarter Mode SIW Cavity Backed Slot Antenna

Design of Compact Dual Band Quarter Mode SIW Cavity Backed S...

引用

international conference on inventive computing and informatics (ICICI)

作者： Ali, Muquaddar Sharma, K. K. Yadav, R. P. Malaviya Natl Inst Technol Dept Elect & Commun Engn Jaipur 302017 Rajasthan India

ISBN: (纸本)9781538640319

In this paper a compact dual band quarter mode SIW cavity backed slot antenna is proposed. A quarter mode cavity is designed to operate at 2.4GHz. A meandered slot is cut for increasing bandwidth of antenna. The slot loading also provides impedance matching at higher order resonance of cavity which results in dual band performance. The antenna is designed to operate for WiFI applications at 2.4GHz and 5.5GHz and has bandwidth of 113MHz and 233MHz at respective bands. Maximum gain of antenna at resonance frequencies is 4.8dBi and 5.8dBi respectively.

关键词： Cavity backed slot antenna substrate integrated waveguide (SIW) Quarter Mode cavity dual band antenna

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Study and Analysis of Feature Based Automatic Music Genre Classification Using Gaussian Mixture Model

Study and Analysis of Feature Based Automatic Music Genre Cl...

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international conference on inventive computing and informatics (ICICI)

作者： Kaur, Chandanpreet Kumar, Ravi Thapar Univ Elect & Commun Engn Patiala Punjab India

ISBN: (纸本)9781538640319

Music genre classification is a very popular tool used extensively in music industry all over the world. The information of rhythmic structure, instrumentation, and harmonic content about the music signal is visualized with the aid of genre. The task of genre classification was performed manually in early days. With the advancements in technology and signal processing algorithms, this task can now be done automatically. This paper reports the genre classification of audio signal by using multiple feature sets. Mel-Frequency Cesptral Coefficients (MFCCs), Spectral Rolloff, Time Domain Zero Crossings and Flux are the features used in this work. Gaussian mixture model (GMM) based classifier is employed for the final classification task. Simulation results are provided based on standard genre database using MATLAB. It is observed that the percentage classification improves when more number of features are used.

关键词： Gaussian mixture model feature extraction genre classification melody classification raga identification

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Image De-noising and Enhancement based on Rough Set and Principal Component Analysis

Image De-noising and Enhancement based on Rough Set and Prin...

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international conference on inventive computing and informatics (ICICI)

作者： Huang, Wenzhun Wang, Harry Haoxiang Liu, Zhe Wang, Liping Xijing Univ Sch Informat Engn Xian Shaanxi Peoples R China GoPercept Lab Ithaca NY 14850 USA

ISBN: (纸本)9781538640319

In this paper, we conduct research on novel image de-noising and enhancement algorithm based on rough set theory and the principal component analysis. Mathematically, image de-noising belongs to ill-posed inverse problem an effective way to solve the discomfort of basic qualitative is introducing a priori information about the image in image processing as the image de-noising is transformed into the well-posed problem. Under this guidance, we propose the novel perspective on the set theory and the principal component analysis based methodology. In the future research, we will integrate the experimental analysis for further optimization.

关键词： Principal Component Analysis Rough Set Enhancement Algorithms De-noising

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Performance Improvement of Microstrip Antenna using Slots loaded M-Shaped Patch

Performance Improvement of Microstrip Antenna using Slots lo...

引用

international conference on inventive computing and informatics (ICICI)

作者： Pandeeswari, R. Natl Inst Technol Dept Elect & Commun Engn Tiruchirappalli India

ISBN: (纸本)9781538640319

The aim of this paper is to design and simulate M-shaped rectangular antenna for various wireless applications. The proposed antenna has been developed on FR-4 substrate (epsilon(r)=4.4) with dimensions of 21.57x25.62x1.6 mm(3). The M-shaped radiating patch is etched with C-shaped slots in order to improve the performance of the antenna and generate multiple frequencies for various wireless applications. Copper material has been used as a conducting material for patch and ground. The proposed antenna resonates at 2.4GHz, 3.03GHz, 3.66GHz, 4.25GHz, 6.53GHz and 7.75GHz. Hence it application in Industrial Scientific and Medical (ISM) (2.4-2.483GHz) band and fixed mobile WiMAX(2-6GHz) applications. The proposed antenna has been designed and simulated using HFSS software.

关键词： M-shaped patch C-shaped slots Multibandt Radition Pattern

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