Volume-4 Issue-4, September 2015 – International Journal of Recent Technology and Engineering (IJRTE)

D1484094415

IJRTE Journal — Thu, 03 Nov 2022 09:29:52 +0000

Analytical Investigation of Cable Stayed Bridge using Various Parameters
Parag R. Nadkarni¹, Padmakar J. Salunke², Trupti Narkhede³
¹Mr. Parag R. Nadkarni, Department of Civil Engineering, Mahatma Gandhi Mission’s College of Engineering and Technology, Kamothe, Navi Mumbai (Maharashtra). India.
²Padmakar J. Salunke, Department of Civil Engineering, Mahatma Gandhi Mission’s College of Engineering and Technology, Kamothe, Navi Mumbai (Maharashtra). India.
³Trupti Narkhede, Department of Civil Engineering, Mahatma Gandhi Mission’s College of Engineering and Technology, Kamothe, Navi Mumbai (Maharashtra). India.
Manuscript received on 20 September 2015 | Revised Manuscript received on 30 September 2015 | Manuscript published on 30 September 2015 | PP: 49-51 | Volume-4 Issue-4, September 2015 | Retrieval Number: B1418054215©BEIESP
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Abstract: In this paper, analysis of 240 m long fan type cable stayed bridge having single plane of cables is carried out with the help of software facilities. Effects of various parameters such as stiffness of deck and pylon and number of cables on the behaviour of cable stayed bridge were observed. To save time in modelling of bridges manually, a programming tool has been developed in excel software with the help of visual basic macro for the purpose of parametric study of Cable stayed bridge. With the help of this tool, number of models of cable-stayed bridge can be automatically generated in software SAP-2000. From the analysis of number of models, comparison of bending moments at critical locations in the structure is done.
Keywords: Cable stayed bridge, parametric study, SAP2000, Interactive Database, VB program, Form control, Class 70R, Class A.
Scope of the Article: Concrete Engineering

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D1479094415

IJRTE Journal — Thu, 03 Nov 2022 09:25:44 +0000

Recognition of Medicinal Leaves using PCA & SVM
Sampath Kumar B¹, Varsha N², Zaara FK³
¹Sampath Kumar B, Assistant Professor, Department of Electronics and Communication Engineering, Gowdara Mallikarjunappa Institute of Technology, Karur Industrial Area, PB Road, Davanagere, Karnataka, India.
²Varsha N, Student, Department of Electronics and Communication Engineering, Proudha Deveraya Institute of Technology, Sha Bhavarlal Babulal Nahar Campus, Hosapete, Karnataka, India.
³Zaara FK, Student, Department of Electronics and Communication Engineering, Proudha Deveraya Institute of Technology, Sha Bhavarlal Babulal Nahar Campus, Hosapete, Karnataka, India.
Manuscript received on 20 September 2015 | Revised Manuscript received on 30 September 2015 | Manuscript published on 30 September 2015 | PP: 45-48 | Volume-4 Issue-4, September 2015 | Retrieval Number: D1479094415©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In pharmacological science and bhaishaja kalpana, the recognition of plant leaves(leaf) is very important to make medicine. A Recognizing plant leaf has so far been an important and difficult task. In this paper leaf recognition system using the support vector machine as a classifier is proposed. The leaf recognition system consists of image acquisition, preprocessing, feature extraction and classification. The preprocessing involves a typical image processing conversion such as transforming color images to gray scale image then binary , smoothing and to contour image etc. In the feature extraction involves geometrical features are extracted from leaf images such as diameter, length, area, and perimeter etc. Total 10 digital morphological features (DMF) including geometrical features. These 10 features are orthogonalized into five principal variables using principal component analysis (PCA). These features are given as input vector to the support vector machine (SVM) for classifying leaves.
Keywords: Digital Morphological Feature(DMF); leaves(Leeaf) Recognition; Principle component analysis (PCA); Support Vector Machine (SVM)
Scope of the Article: Artificial Intelligence and Machine Learning

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D1482094415

IJRTE Journal — Thu, 03 Nov 2022 09:20:30 +0000

Image Resizing with Enhancement Technique on DCT Domain
T. Romen Singh¹, O. Imocha Singh²
¹Dr. T. Romen Singh, Department of Computer Science, Manipur University, Canchipur, Imphal, Manipur, India.
²O. Imocha Singh, Department of Computer Science, Manipur University, Canchipur, Imphal, Manipur, India.
Manuscript received on 20 September 2015 | Revised Manuscript received on 30 September 2015 | Manuscript published on 30 September 2015 | PP: 40-45 | Volume-4 Issue-4, September 2015 | Retrieval Number: D1482094415©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents an image resizing technique with enhancement process so as to get an enhanced resized image. This technique is applied on single DCT domain and it is based on the energy compaction and de-correlation property of DCT. Resizing is based on energy compaction while enhancement is based on de-correlation property of CDT. In this technique, resizing is implemented on arbitrary ratio of dimension of the resized image. Enhancement technique is applied by rescaling the AC and DC values of the DCT matrix of the input image. Since it is applied on single DCT domain there is no blocking artefact like block domain. The performance of this technique is compared with other related techniques using PSNR, RMSE and CCC and found outperform.
Keyword: Image Resizing, Arbitrary Ratio, DCT, Enhancement, Power-Law.
Scope of the Article: Image analysis and Processing

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D1483094415

IJRTE Journal — Thu, 03 Nov 2022 09:14:38 +0000

A Study of Technology Used and Comparison Between Traditional and Hf120 (Advanced Aero Engine)
Vivek Kumar¹, Rajeshwar Prasad Singh², Vikash Kumar³
¹Vivek Kumar, Flat Number A-204, SPL APARTMENT, Samethanahalli, Karnataka, Bangalore 560067. India.
²Rajeshwar Prasad Singh, Flat Number A-204, SPL APARTMENT, Samethanahalli, Karnataka, Bangalore 560067. India.
³Vikash Kumar, Flat Number A-204, SPL APARTMENT, Samethanahalli, Karnataka, Bangalore 560067. India.
Manuscript received on 20 September 2015 | Revised Manuscript received on 30 September 2015 | Manuscript published on 30 September 2015 | PP: 23-40 | Volume-4 Issue-4, September 2015 | Retrieval Number: D1483094415©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Paper includes detailed study of the HF120 turbofan engine, which is the first product from GE Honda Aero Engines. This paper is to showcase state of art technology involved in gas turbine engines and to bring out various aspects and future trends in field of propulsion technology. Paper also includes development in gas turbine engine that have helped to achieve great fuel efficiency and less noise, increased power, thrust and also advancements made in the field of materials have contributed in a major way in gas turbine in accordance to the future trends that have come up in recent years. The paper reviews the evolutionary process that has taken place over the years with reference to the different design concepts used for aero engines. At General Electric, the official corporate slogan is “Imagination at work.” At Honda, it’s “The power of dreams.” Two of the world’s most respected names in propulsion have come together to design and manufacture engines for the next generation of very light jets. The joint venture, known as GE Honda Aero Engines, combines the strengths of two industry leaders recognized for delivering high performance and reliable engines. The HF120 is an advanced 2000lb thrust class turbofan propulsion system. It incorporates a development philosophy and operational features consistent with Honda’s tradition of Innovation and GE’s rigorous design and testing standards.
Keyword: HF120, Honda’s, GE’s, design and testing, “Imagination at work.”, GE Honda, 2000lb
Scope of the Article: Learning Software Design Engineering

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D1485094415

IJRTE Journal — Thu, 03 Nov 2022 09:09:07 +0000

Automated Classification and Detection of Power Quality Disturbances using RBF Fault Classifier
Swapnil B. Mohod¹, Vilas N. Ghate²
¹Swapnil B. Mohod, Department of Electrical Engineering, Prof. Ram Meghe College of Engineering and Management, Badnera-Amravati, (Maharashtra), India.
²Dr. Vilas N. Ghate, Department of Electrical Engineering, Government College of Engineering, Chandrapur, (Maharashtra), India.
Manuscript received on 20 September 2015 | Revised Manuscript received on 30 September 2015 | Manuscript published on 30 September 2015 | PP: 17-22 | Volume-4 Issue-4, September 2015 | Retrieval Number: D1485094415©BEIESP
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Abstract: The proliferation of power electronic devices in a modern industrial control pronounced more power quality disturbances. There is an urgent need of technique which automatically classifies and detects power quality disturbances. In this paper authors developed an online radial-basis-function NN-based detection technique. In proposed scheme simple statistical parameters described which are used as input noise signals to classify vital conditions of power system like sag, swell of Induction motor, arc load, short circuit of welding machine, phase to earth fault and healthy condition. Detailed design procedure for RBF based classifier is presented for which experimental data of one HP, single phase, 50 Hz squirrel cage Induction motor, Welding machine to generate actual arcing load, Advantech data acquisition system is used. A Wavelet Transform Technique is applied to extract features from monitored data. By principle component analysis and sensitivity analysis dimension reduction is also achieved which classify the six types of PQ disturbances.
Keyword: Power Quality, Wavelet transform, RBF, PCA
Scope of the Article: Classification

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D1475094415

IJRTE Journal — Thu, 03 Nov 2022 09:04:09 +0000

Detection of Air gap Eccentricity Fault of Three Phase Induction Motor by Fast Fourier Transform using ARM Microcontroller
B. Rajagopal¹, S. Singaravelu²
¹B. Rajagopal, Department of Electrical Engineering, Annamalai University, Annamalai Nagar, Chidambaram, (Tamil Nadu), India.
²Dr. S. Singaravelu, Department of Electrical Engineering, Annamalai University, Annamalai Nagar, Chidambaram, (Tamil Nadu), India.
Manuscript received on 20 September 2015 | Revised Manuscript received on 30 September 2015 | Manuscript published on 30 September 2015 | PP: 8-16 | Volume-4 Issue-4, September 2015 | Retrieval Number: D1475094415©BEIESP
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Abstract: Induction machines are the backbones of many industrial processes due to its robustness and reliability. Online fault diagnostics of induction motor is important, and its real function is to attempt to recognize the development of faults at an early stage, which are highly useful preventive rescue especially in high power applications. Among various faults occurred in induction motors, eccentricity faults are of significant importance as they produce secondary effects that can lead to a major fault to a motor. Using different signal processing and mathematics techniques, the stator current signals of a motor can be analyzed, interpreted and faults inside the motor can be identified. It is observed that the fault frequencies for different faults of induction motor are unique. This paper investigates on detection of air gap eccentricity fault in three phase cage induction using modulated motor stator current.. MCSA (Motor Current Signature Analysis) technique using FFT (Fast Fourier Transform) approach is utilized in this research work to identify air gap eccentricity fault of induction motor under different loading conditions. Hence, in this paper RISC (Reduced Instruction Set Computing) based ARM (Advanced RISC Machine) architecture controller (LPC2148 from NXP) for current signature analysis is developed to analyze the air gap eccentricity fault. An experimental setup, using the ARM based data acquisition board and PC based analysis software is also developed and results are given for air gap eccentricity fault
Keyword: Induction motor, MCSA, FFT, Air gap Eccentricity fault, ARM controller.
Scope of the Article: Knowledge Engineering Tools and Techniques

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D1471094415

IJRTE Journal — Thu, 03 Nov 2022 08:57:43 +0000

Optimization of Operating Parameters for EDM Process based on the Taguchi Method
Madhuri Pradhan¹, R. K. Bhoi², S. Rana³
¹Madhuri Pradhan, Department of Mechanical, College -ITER/ SO’A University, Bhubaneswar, (Odisha), India.
²R. K. Bhoi, Department of Mechanical, College-ITER/SO’A University, Bhubaneswar, (Odisha), India.
³S. Rana, Department of Mechanical, VSSUT, Deemed University, Burla, (Odisha), India.
Manuscript received on 20 September 2015 | Revised Manuscript received on 30 September 2015 | Manuscript published on 30 September 2015 | PP: 1-7 | Volume-4 Issue-4, September 2015 | Retrieval Number: D1471094415©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper the complexity of electrical discharge machining process which is very difficult to determine optimal cutting parameters for improving cutting performance has been reported. Optimization of operating parameters is an important step in machining, particularly for operating unconventional machining procedure like EDM. A suitable selection of machining parameters for the electrical discharge machining process relies heavily on the operators’ technologies and experience because of their numerous and diverse range. Machining parameters tables provided by the machine tool builder cannot meet the operators’ requirements, since for an arbitrary desired machining time for a particular job, they do not provide the optimal machining conditions. An approach to determine parameters setting is proposed. Based on the Taguchi parameter design method and the analysis of variance, the significant factors affecting the machining performance such as crater diameter,recsat layer,grain size,haz for a hole machined by EDM process, are determined.
Keyword: Complexity, Optimization, EDM, Significant Factors.
Scope of the Article: Process and Workflow Management

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