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Modeling and Simulation of Nine-Level Cascaded H-Bridge Inverter Based Shunt Active Power Filter for Single-Phase Distribution System

Modeling and Simulation of Nine-Level Cascaded H-Bridge Inve...

引用

international conference on inventive computing and informatics (ICICI)

作者： Kumar, B. Jagadish Chandramouli, A. KITS Dept EEE Warangal Telangana India SR Engn Coll Dept EEE Warangal Telangana India

ISBN: (纸本)9781538640319

In this paper, a solitary phase Nine-Level cascaded H-Bridge (CHB) based Shunt Active Power Filter (SHAPF) in view of basic controller is proposed. Synchronous Reference Frame theory (SRF) is utilized for reference source current extraction and to create gating pulses for the SHAPF. The principle point of the cascaded bridge is to dispense harmonics, enhance power factor and reactive power compensation of the single-phase distribution framework. The suggested control calculation has two parts, changing the load current into stationary reference outline directions and estimation of peak amplitude of load currents. Consequently, a basic and dependable controller effortlessly of execution was created. The calculation for single-phase shunt active filter is intending to perform with exact tracking performance under step changes in load currents and to give great dynamic compensation. In this paper, synchronous reference theory PLL with Inverse-Park change is adopted for producing quadrature part of current. The execution of the control calculation is tried and assessed utilizing MATLAB/Simulink tool.

关键词： Cascaded H-Bridge Inverter (CHB) Shunt Active Power Filter (SHAPF) Power Quality (PQ) Synchronous Reference Frame theory PLL

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Architectures for provision of internet services for high speed trains and TAP association problem

Architectures for provision of internet services for high sp...

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international conference on inventive computing and informatics (ICICI)

作者： Shah, M. P. Limbachiya, Darshan Bhatt, Maharshi Goyal, Varsha Parmar, K. R. Sedani, B. S. LD Coll Engn EC Dept Ahmadabad Gujarat India Govt Polytech Rajkot Rajkot Gujarat India LD Coll Engn Ahmadabad Gujarat India

ISBN: (纸本)9781538640319

In present scenario, high-speed train can be considered as a speedy and essential public transportation system, which brings meaningful comfort to passengers. In this paper, we investigate all possible architectures to efficiently provide broadband internet services for passengers onboard. We compare throughput of all possible architectures. Finally we examine implementation of new technologies like LTE, MIMO and MASSIVE MIMO for high speed train to enhance data rates. we discuss advantages and challenges for the implementation of new technology. Finally, We did simulation for high speed network which is combination of dedicated infrastructure and cellular system. We uses Trackside Access Point(TAP)parallel with the track. Then we discuss TAP association problem scenario. To get access of TAP service, user will decide whether to join in the queue or not and plot simulation for the same.

关键词： High speed train Broadband services Architectures LTE MIMO TAP TAP Association problem

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Comparative Study of Four Novel Approaches Developed for Early Detection of Breast Cancer and its Stages

Comparative Study of Four Novel Approaches Developed for Ear...

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international conference on inventive computing and informatics (ICICI)

作者： Varalatchoumy, M. Ravishankar, M. BNMIT Dept ISE Bangalore Karnataka India VVIET Dept CSE Mysore Karnataka India

ISBN: (纸本)9781538640319

This paper aims at describing and comparing four different approaches used for developing Computer Aided Diagnosis systems that aims to detect, classify and identify the stages of malignant tumors in MRM images. Approach I uses a hybrid combination of techniques for detection of Region of Interest (ROI) and size of the tumor is used for detecting the stage of classified malignant tumor. Approach II uses modified approach for segmentation and area of the tumor is used for detection of stages. Approach III uses an advanced levelset approach for detection of ROI followed by energy and entropy features being used for identification of stages of malignant tumor. Finally the main approach, namely approach IV has been developed using a very novel algorithm for detection of ROI and a very novel approach for detection of stages of malignant tumor. The approaches I and II are applicable only for Mammographic Image Analysis Society (MIAS) database images. Approaches III and IV are applicable for both MIAS and Real time hospital images. This paper also provides a complete analysis of performance of all the four approaches using various parameters.

关键词： malignant tumor stages various approaches comparison early detection novel algorithm and approach

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Detection of Epileptic Seizure in EEG Signals Using Phase Space Reconstruction and Euclidean Distance of First-Order Derivative

Detection of Epileptic Seizure in EEG Signals Using Phase Sp...

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international conference on inventive computing and informatics (ICICI)

作者： Rukhsar, Salim Rehman, Haroon Khan, Yusuf Uzzaman Khan, Ayesha Tooba Aligarh Muslim Univ ZHCET Dept Elect Engn Aligarh Uttar Pradesh India

ISBN: (纸本)9781538640319

A most common disorder of human brain "Epilepsy", which is a neurological disorder and is identified as unexpected and transient electrical disturbance of the brain. EEG is a widely used method of signal recording for detection of epileptic seizures. A modified method for classification of ictal (Epileptic seizure) and seizure-free EEG signals is proposed in this paper. The technique is employed for an epoch across the channel for feature extraction. The First order derivative (FOD) shows the rate of variability of the signal while the phase space reconstruction (PSR) shows the evolution of a system and the Euclidean distance measures the dispersion of the points in the 3-D PSR, these shows a better feature for ictal and normal EEG signals classification. The interquartile range of Euclidean distance has been used for feature selection due to its insensitivity towards the outlier. KNN classifier is used for classification of ictal and normal EEG signals. The methodology resulted detection of epileptic seizure in 0.1 second with the degree of performance, sensitivity- 100%, Specificity-100%, and the Accuracy-100%

关键词： Epileptic seizure EEG first-order derivative (FOD) phase space reconstruction Euclidean distance KNN artificial neural network (ANN)

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Classification and Prediction based Data Mining Algorithms to Predict Students' Introductory programming Performance

Classification and Prediction based Data Mining Algorithms t...

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international conference on inventive computing and informatics (ICICI)

作者： Sivasakthi, M. SRM Univ Comp Sci & Applicat City Campus Madras 600026 Tamil Nadu India

ISBN: (纸本)9781538640319

Data mining has been successfully implemented in the business world but, its use in higher education is still comparatively new. Predicting students' performance becomes more challenging due to the huge volume of data in educational databases. This paper focus on predicting introductory programming performance of first year bachelor students in Computer Application course by a predictive data mining model using classification based algorithms. The collected data contains the students' demographics, grade in introductory programming at college, and grade in introductory programming at test which contains 60 questions. Collected data was applied on various classification algorithms such as Multilayer Perception, Naive Bayes, SMO, J48 and REPTree using WEKA. As a result, statistics are generated based on all classification algorithms and comparison of all five classifiers is also done in order to predict the accuracy and to find the best performing classification algorithm among all. In this paper, a knowledge flow model is also drawn for all five classifiers and also this paper showcases the importance of Prediction and Classification based data mining algorithms in the field of programming education and also presents some promising future lines. It could bring the benefits and impacts to students, educators and the academic institutions.

关键词： Educational Data Mining Classification Prediction Introductory programming

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Mining high utility itemsets using Shuffled Complex Evolution of Particle Swarm Optimization (SCE-PSO) Optimization Algorithm

Mining high utility itemsets using Shuffled Complex Evolutio...

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international conference on inventive computing and informatics (ICICI)

作者： Sivamathi, C. Vijayarani, S. Bharathiar Univ Dept Comp Sci Coimbatore Tamil Nadu India

ISBN: (纸本)9781538640319

High-utility itemset mining is a recent research area in data mining. It attracts many researchers as it extracts profitable products from a database. It considers both the quantity and profit of products. Several algorithms have been presented to mine high-utility itemsets. There are some bio inspired algorithms like Genetic Algorithm, Particle swarm optimization and Ant colony system are also used to retrieve high utility itemsets. In this paper a Shuffled Complex Evolution of Particle Swarm Optimization (SCE-PSO) algorithm was used to retrieve high utility itemsets. In the SCE-PSO, a population of points is sampled randomly in the feasible space. Then the population is partitioned into several complexes, which is made to evolve based on PSO. At periodic stages in the evolution, the entire population is shuffled and points are reassigned to complexes. The performance of the SCE-PSO algorithm is compared to existing PSO and GA algorithms and results are compared. A benchmark dataset, Mushroom and Foodmart datasets are used for performance analysis. Execution times of the algorithms and the memory space used by the algorithms are considered as performance factors.

关键词： Utility mining High Utility itemsets Particle swarm optimization Shuffled Complex Evolution of PSO Transaction Weighted Utility Utility function

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A Simple System for Table Extraction Irrespective of Boundary Thickness and Removal of Detected Spurious Lines

A Simple System for Table Extraction Irrespective of Boundar...

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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

Several types of table layout structures are ubiquitous in digitalized document images and are characterized by their row and column separators. Document image may consist of several undesirable lines introduced due to improper scanning, crease formation, accidental remarks etc., in addition to the desired lines in tables. Since tables being an effective component of document images for representing an information, one needs to extract the table from the document images. The proposed method aims at removing unwanted straight lines in binary document images, without affecting the essential details of the table by a two-step process. In the first step, the extraction of necessary details of the tables containing lines as row and column separators along with their respective frames is performed using Mask Processing. The second step involves the detection and removal of all straight lines using a Pseudo Diagonal Image (PDI) and its rotation. The proposed method exploits the novelty in utilizing a single mask for the detection of tables instead of multiple masks, hence the computational complexity for processing is lesser. Independency in the thickness of table boundary while extraction is also an effective characterization of the proposed algorithm. The Obtained result shows 93.35% precision and 92.33% recall.

关键词： Mask Processing Pseudo Diagonal Image (PDI) Rotation Line Detection Removal Table Detection Extraction

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Processing of Inconsistent Neutrosophic Data and Selecting Primary Key from the Relation

Processing of Inconsistent Neutrosophic Data and Selecting P...

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international conference on inventive computing and informatics (ICICI)

作者： De, Soumitra Mishra, Jaydev Coll Engn & Management Comp Sci & Engn Dept Purba Medinipur 721171 W Bengal India

ISBN: (纸本)9781538640319

Here, we focused to operate imprecise queries on a fuzzy relational database which consists of imprecise data. Neutrosophic set is based on indeterminacy membership value along with other two values which is not present in vague set. Firstly, we have applied similarity measure formula on neutrosophic and vague data for getting the similarity value for each row. Next, we provide a alpha-cut value for the query which is based on imprecise part. The query return back different result sets for different alpha-cut values for checking the closeness between two different set. Finally, we have given suitable examples of vague and neutrosophic data for imprecise query and compare between the two different outcomes and shown that indeterminacy part of a neutrosophic database has given much better result than any other form of imprecise database oriented query. Also we have found the primary key of neutrosophic data from the table which is consists of inconsistent data. This primary key will help us for normalizing the neutrosophic relation.

关键词： vague set neutrosophic set vague data neutrosophic data similarity measure alpha- cut primary key

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Study of significance of spectral and wavelet energy measures to detect the electrical onset of seizure

Study of significance of spectral and wavelet energy measure...

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international conference on inventive computing and informatics (ICICI)

作者： Sridevi, Veerasingam RamasubbaReddy, Machireddy Srinivasan, Kannan Radhakrishnan, Karupath Rathore, Chaturbhuj Nayak, S. Dinesh NIT Dept Instrumentat & Control Engn Tiruchirappalli Tamil Nadu India IIT Madras Dept Appl Mech Madras Tamil Nadu India Manipal Univ Dept Neurol Manipal Karnataka India SBKS Med Inst Res Ctr Dept Neurol Vadodara Gujarat India Fortis Malar Hosp Dept Neurol Madras Tamil Nadu India

ISBN: (纸本)9781538640319

The objective of this study is to assess the utility of spectral and wavelet energy measures in detecting electrical onset of seizure in patients with temporal lobe epilepsy (TLE). The scalp-recorded EEG data of 20 seizures from 11 TLE patients is used for this study. The spectral and wavelet energy in same set of frequency bands are calculated for each 4 s windowed EEG signal. Among the 14 measures, 3-6 Hz and 6-12 Hz band spectral and wavelet energy increases at electrical onset in 60% and 90% of the recorded seizures respectively. The spectral and wavelet energy in 1-3 Hz band increases in 40% of the recorded seizures. This study identifies the correlation between spectral and wavelet energy in same frequency bands. Hence the simple and efficient spectral energy measures are selected as significant features for the design of automated seizure detection system.

关键词： Epilepsy spectral energy wavelet energy electrical onset scalp EEG

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A framework for Human-Computer Interaction using Dynamic Time Warping and Neural Network

A framework for Human-Computer Interaction using Dynamic Tim...

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international conference on inventive computing and informatics (ICICI)

作者： Vishwakarma, Dinesh Kumar Ansari, Shamshad Delhi Technol Univ Dept Elect & Commun Engn Delhi India

ISBN: (纸本)9781538640319

Due to incapability in speaking and hearing, there always exist a group of people in the community who face difficulties in communication. These people use some symbols and gestures to convey their messages and receive their messages, this form of communication is known as Sign Language. We have provided a solution based on dynamic time warping (DTW) for the first module and software based solution for the second module by exploiting the latest technology of Microsoft Kinect depth camera which tracks the 20 joint location of human beings. In sign to speech/text conversion block, the actor performs some valid gestures within the Kinect field of view. The gestures are taken up by the Kinect sensor and then interpreted by comparing it with already stored trained gestures in the dictionary. After the sign is recognized, it is copied to the respective word which is transferred to the speech conversion and text conversion module to produce the output. In the second block, which is a speech to sign/gesture conversion, the person speaks in Kinect field of view which is taken by the Kinect, and the system converts speech into text, and corresponding word is mapped into predefined gesture which is played on the screen. This way a disabled person can visualize the spoken word. The accuracy of sign to speech module is found to be 87% and that of speech to gesture module is 91.203%.

关键词： Sign language descriptor Dynamic time wrapping Kinect gesture

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