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Belegali P.P.,Dr. J.J.M.C.O.E. | Patil B.S.,P.V.P.I.T. | Mohite T.H.,Dr. J.J.M.C.O.E. | Dhanashri D D.,P.V.P.I.T.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2010

The growing capacity of computers, the abundance of digital cameras and the increased connectivity of the world all point to large digital multimedia archives. They include images and videos from the World Wide Web, museum objects, flowers, trademarks, and views from everyday life. The faster they grow, the more prominently needed is the efficient access to the content of the images and videos. In this paper we have given important step of feature extraction, will be discussed in detail such as color, shape and texture information, particularly paying attention to discriminatory power and invariance. Then, we focus on the concepts of indexing and genre classification as intermediate step to sort the data. We pay attention to (interactive) ways to perform browsing and retrieval by means of information visualization and relevance feedback. Methods are being discussed to localize the retrieved objects in images. We adopt a hybrid approach for such text extraction by exploiting a number of characteristics of text blocks in color images and video frames. Our system detects both caption text as well as scene text of different font, size, color and intensity. Such texts are used for retrieval of video clips based on any given keyword. Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. © 2010 Copyright SPIE - The International Society for Optical Engineering.


Dambhare S.,Sant Gadge Baba Amravati University | Deshmukh S.,PRMITR | Borade A.,J.D.I.E.T. | Digalwar A.,BITS | Phate M.,PVPIT
Procedia CIRP | Year: 2015

Manufacturing industries are crucial in a country's economy. However, they accounts for huge resource consumption of and waste excretion. The objective of this study was to investigate sustainability issues pertinent to turning process in a Indian machining industry. Parameters such as surface roughness, material removal rate and energy consumption were considered as sustainability factors. The effect of process parameters (speed/feed/depth of cut), the machining environment (dry/MQL/wet) and the type of cutting tool on the response was observed. Analysis of Variance (ANOVA) was applied to test the data. The process was analysed using response surface methodology (RSM). The results of the study helped to understand the effect of the cutting parameters on surface finish, energy consumption, and material removal rate. The process was optimized from power consumption point of view. Extended form of the model could be useful to predict the environmental impact of machining process which will bring environmental concern into conventional machining. © 2015 Elsevier B.V. This is an open access article under the CC BY-NC-ND license.


Gade S.S.,ADCET | Shendage S.B.,PVPIT | Uplane M.D.,Shivaji University
ITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing | Year: 2010

This paper presents the development of an on-line version of a new auto-tuning algorithm for proportional-integral - derivative (PID) controllers based on the successive approximation method. The new auto tuner causes only minor perturbation on the normal operation of the process, needs little a prior information, and is robust to noise. The performance and design for automatic selection of the PID constants are also discussed. The accuracy and performance of this new auto-tuning method have been substantiated by extensive lab works. © 2010 IEEE.


Gadgune S.Y.,PVPIT | Jadhav P.T.,PVPIT | Chaudhary L.R.,Innova Rubbers Ltd. | Waware M.M.,WCE
Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015 | Year: 2015

In this paper five level Diode clamped and Cascaded H-bridge multilevel inverter based shunt APF is presented. Traditional two level Shunt APF has disadvantage that its switching frequency is very high causing high switching losses. Also voltage stress on each switch is high equal to grid voltage. Multilevel inverters (MLI) have advantage of they can operate on low switching frequency; so switching losses are low. The dv/dt stress on each device is very low. Also, in high voltage system high rating transformer is required with APF which causes high cost and bulky system. But application of multilevel inverter in active filters effectively reduces harmonics in high voltage system without use of transformer. The reference compensating currents are generated using Instantaneous Reactive Power Theory (P-Q Theory). Sinusoidal pulse width modulation scheme is implemented to generate switching signals. Simulation results shows effectiveness of the multilevel inverters. © 2015 IEEE.


Dambhare S.G.,PVPIT | Deshmukh S.J.,PRMITR | Borade A.B.,JDIET
International Journal of Industrial Engineering Computations | Year: 2015

There is an increase in awareness about sustainable manufacturing process. Manufacturing industries are backbone of a country’s economy. Although it is important but there is a great concern about consumption of resources and waste creation. The primary aim of this study was to explore sustainability concern in turning process in an Indian machining industry. The effect of cutting parameters, Speed/Feed/Depth of Cut, the machining environment, Dry/MQL/Wet, and the type of cutting tool on sustainability factors under study were observed. Analysis of Variance (ANOVA) was used to analyse the data obtained from experimentation in a small scale machining industry. The process is modelled mathematically using response surface methodology (RSM).The economic and environmental aspect like surface roughness, material removal rate and energy consumption were considered as sustainability factors. The model helps to understand the effect of the cutting parameters and conditions on surface finish, energy consumption, and material removal rate. The process was optimized for minimum power consumption considering environmental concern as prime importance. Studies suggest that the cutting environment and tool type influenced on the power consumption during turning process. Extended form of the proposed model could be useful to predict the environmental impact due to machining process, which would bring environmental concern into conventional machining. © 2015 Growing Science Ltd. All rights reserved


Dambhare S.,PVPIT | Borade A.,JDIET
Journal of Quality and Reliability Engineering | Year: 2013

Six Sigma is one of the popular methodologies used by the companies to improve the quality and productivity. It uses a detailed analysis of the process to determine the causes of the problem and proposes a successful improvement. Various approaches are adopted while following Six Sigma methodologies and one of them is DMAIC. The successful implementation of DMAIC and FTA is discussed in this paper. In this study, the major problem was of continuous rework up to 16%, which was leading to wastage of man hours and labor cost. Initially, fault tree analysis (FTA) was used to detect the key process input variables (KPIVs) affecting the output. Multivariable regression analysis was performed to know the possible relationship between the KPIVs and the output. The DMAIC methodology was successfully implemented to reduce the rework from 16% bores per month to 2.20% bores per month. The other problem of nonuniform step bores was also reduced significantly. © 2013 Sunil Dambhare et al.


Jori N.,PVPIT | Thune N.,PVPIT
Proceedings - 1st International Conference on Computing, Communication, Control and Automation, ICCUBEA 2015 | Year: 2015

Wireless sensors networks plays an important role for accurate monitoring for various applications such as military surveillance where exact monitoring is required. Critical issue with wireless sensor network is sensor node energy as energy utilization of sensor nodes increases the communication cost. This paper used effective N-DRINA routing algorithm which improves the data fusion and aggregation techniques to save energy efficiently. It also builds the effective routing tree, overlapping routes increases and eliminates the redundant data. This algorithm can compare to other algorithms like information-fusion-based-algorithm, minimum spanning-tree, shortest-path-tree. Our N-DRINA shows improved results along the use of energy-wake-up mechanism. © 2015 IEEE.

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