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Kokate R.D.,MGMs Jawaharlal Nehru Engineering College | Waghmare L.M.,Shri Guru Gobind Singhji Institute of Engineering and Technology
International Journal of Systems Signal Control and Engineering Application | Year: 2010

The Generalized Predictive Controller (GPC) in transfer function representation is proposed for the cascade control task. The recommended cascade GPC (CGPC) applies one predictor and one cost function that results in several advantageous features: The disturbance regulations of the inner and the outer loops can be totally decoupled; the inner disturbance regulation is well damped, the typical overshoot of the traditional cascade control structure is avoided. The investigation is based on simulation experiments of heat exchanger model identified from SISO input and output data. © Medwell Journals, 2010. Source

Ghosh S.,MGMs Jawaharlal Nehru Engineering College | Lohani B.,Indian Institute of Technology Kanpur
International Journal of Digital Earth | Year: 2015

Light Detection and Ranging (LiDAR) technology generates dense and precise three-dimensional datasets in the form of point clouds. Conventional methods of mapping with airborne LiDAR datasets deal with the process of classification or feature specific segmentation. These processes have been observed to be time-consuming and unfit to handle in scenarios where topographic information is required in a small amount of time. Thus there is a requirement of developing methods which process the data and reconstruct the scene in a small amount of time. This paper presents several pipelines for visualizing LiDAR datasets without going through classification and compares them using statistical methods to rank these processes in the order of depth and feature perception. To make the comparison more meaningful, a manually classified and computer-aided design (CAD) reconstructed dataset is also included in the list of compared methods. Results show that a heuristic-based method, previously developed by the authors perform almost equivalent to the manually classified and reconstructed dataset, for the purposes of visualization. This paper makes some distinct contributions as: (1) gives a heuristics-based visualization pipeline for LiDAR datasets, and (2) presents an experimental design supported by statistical analysis to compare different pipelines. © 2014 Taylor & Francis. Source

Zambare A.S.,MGMs Jawaharlal Nehru Engineering College
Mini-Reviews in Medicinal Chemistry | Year: 2014

4,5,6,7-Tetrahydrothieno pyridine is an important class of heterocyclic nucleus. Various 4,5,6,7-tetrahydrothieno pyridine derivatives have been synthesized and evaluated for various biological activities in different models with desired findings. Some analogs have shown potent biological activities and may be considered as lead molecule for the development of future drugs. Number of drug molecules are available in the market and many molecules are in clinical development containing 4,5,6,7-tetrahydrothieno pyridine nucleus as an important core. This review is an attempt to organize the chemical and biological aspects of 4,5,6,7-tetrahydrothieno pyridine analogs reported in last 20 year to till date. Review mainly focuses on the important role of the core in synthesis of drug or drug intermediates giving emphasis on synthetic schemes and biological activities of the different 4,5,6,7-tetrahydrothieno pyridine analogs. © 2014 Bentham Science Publishers. Source

Deshpande D.S.,MGMs Jawaharlal Nehru Engineering College | Manthalkar R.R.,Shri Guru Gobind Singhji Institute of Engineering and Technology
Smart Innovation, Systems and Technologies | Year: 2015

The incidence of breast cancer is rapidly becoming the number one cancer in females. It is the serious health problem and leading cause of death for middle aged women. Mammography is one of the most reliable methods for early detection of breast cancer. But mammograms are the most difficult images for interpretation and may lead to false diagnosis. Therefore there is a significant need of automatic extraction of the actionable information from the mammogram data in order to ensure improvement in diagnosis. To address this issue, we have proposed an automatic classification system for breast cancer using Texture Based Associative Classifier (TBAC). Here we wish to automatically classify the breast mammograms into three basic categories i.e. normal, benign and malignant based on their texture associations. Our experimental results on MIAS dataset demonstrate that the proposed classifier TBAC is superior to existing associative classifiers for mammogram classification. © Springer India 2015. Source

Mangulkar M.N.,MGMs Jawaharlal Nehru Engineering College | Jamkar S.S.,Government College of Engineering, Aurangabad
Jordan Journal of Civil Engineering | Year: 2016

Aggregate characteristics have a significant effect on the properties of concrete in the fresh state and the hardened state. They also influence the quantity of cement paste required to fill the voids between aggregate particles. The manual methods suggested for the measurement of aggregate characteristics are laborious, time consuming and approximate. This paper presents the development of a Digital Image Processing (DIP) based system for the measurement of sphericity, shape factor, elongation ratio and flatness ratio of coarse aggregate particles. The system is calibrated using standard objects such as marbles, coins and then used for the measurement of coarse aggregate particles having varied characteristics. Samples of rounded gravels and crushed aggregates from different crushers are considered for the study. The results indicated that the system can be used for the accurate measurement of aggregate characteristics. © 2016 JUST. All Rights Reserved. Source

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