College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Computer science & Sliding mode control. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

Innovative Approach Towards Cooperation Models for Multi-agent Reinforcement Learning (CMMARL)

Abstract: We propose an innovative approach towards Cooperation Models for Multi-agent Reinforcement Learning (CMMARL) using reinforcement learning methods. Communication methods for reinforcement learning depend on multiagent scheme is proposed & implemented. Different cooperation methods for cooperative reinforcement learning based on expertness measure of each agent proposed here i.e. group method, dynamic method, goal-oriented method and expert agent method. Implementation results have demonstrated that the suggested communication and cooperation methods are able to accelerate the aggregation of the agents that accomplish best action strategies. This approach is developed for dynamic products availability in a three retailer shops in the market. Retailers can cooperate with each other and can get benefit from cooperative information by their own policies that accurately represent their goals and interests. The retailers are the learning agents in the problem and apply reinforcement learning to learn cooperatively from the situation. By making considerable theory on the dealer’s inventory strategy, refill period, and entry procedure of the customers, the problem turn out to be Markov decision process model thus facilitating to apply learning algorithms.

Accuracy measurement of depth using Kinect sensor

Abstract: The use of Kinect is increased now a day as a measuring tool in different applications so there is necessary to give the analysis of different Kinect parameters. IR Depth Sensor of Kinect gives the distance of each pixel of an object from camera plane. This paper gives the analysis of Kinect depth distance and actual distance of an object from the camera plane. Here object is a rectangular box of fixed shape and size. An algorithm of new method used for the experiment is given in detail. At the end results shows that as we go on increasing the object distance from the camera plane the error in finding the depth increases and then it is found that Absolute Mean Percentage Error (AMPE) is about on an average is 3.6% when we compared Kinect depth distance and actual distance of an object from camera plane.

Impact of 2018 Kerala Floods on Soil Erosion: Need for Post-Disaster Soil Management

Abstract: Extreme precipitation events lead to flash floods, which can trigger soil erosion and landslides. While damages to infrastructure and livelihoods are rapidly assessed on economic terms, damages to natural resources are not estimated due to limited observation record. This study conducted an analysis using remote sensing data to estimate changes in soil erosion rates before, during and after the Kerala 2018 floods, based on the Universal Soil Loss Equation (USLE). The USLE was driven by multiple data including: in situ rainfall data from Indian Meteorological Department (to estimate rainfall erosive factor), soil maps prepared by Food and Agriculture Organization (to estimate the soil erodibility factor from the properties of soil that consists of the percentage of clay, loam and silt), digital elevation model (to estimate topographic slope and length) from Shuttle Radar Topography Mission and multispectral imagery (to estimate cover management factor and conservation practice factor) from Landsat-8 satellite. Data from these sources were analysed using a Geographic Information System (GIS) platform. Results indicate a state-wise average increase of 80% (31–56 metric tons ha−1 year−1) in soil erosion rate during the floods. Of the districts, Idukki showed the highest increase, of 220% and more susceptibility to soil erosion, which is in comparison with government survey records. Results show that the floods and associated erosion were not only due to the rainfall event but also due to the rapid change in land use and land cover, from natural to human settlements. Therefore, government agencies need to protect land cover and reduce unsustainable development in ecologically sensitive environments, which if managed properly can act as a buffer for soil erosion extremes in Kerala.

Control of Antilock Braking Systems Using Disturbance Observer With a Novel Nonlinear Sliding Surface

Abstract: In this article, the problem of control of antilock braking systems under significant uncertainties and unknown relationship between tire-road friction coefficient and wheel slip ratio for a two-axle vehicle model is considered. Two methods based on a disturbance observer and sliding mode control are proposed. In the first method, a conventional sliding surface is used while in the second method a new nonlinear sliding surface is proposed as an improvement over the first method. The performance under the proposed methods is assessed analytically and by MATLAB simulation under different road conditions. The proposed methods are validated further on CarSim platform.

Extended performance comparison of hybrid wavelet transform for image compression with varying proportions of constituent transforms

Abstract: The rapid growth of digital imaging applications have increased the need for effective image compression techniques Image compression minimizes the size of the image without degrading the quality of the image to an unacceptable level Image compression in transform domain is one of the most popular techniques Previous work has proved that the hybrid wavelet transforms (HWT) are better than the respective constituent orthogonal transforms in image compression[1, 2] Here the extended performance comparison of HWT for image compression is presented with varying the constituent transforms and the proportions of the constituent transforms to test the effect on quality of image compression The experimentation is done on set of 20 images by varying the constituent transforms, proportion of constituent transforms and compression ratios (CR) The constituent transforms used to generated HWT are Cosine transform, Sine transform, Slant transform, Kekre transform, Walsh transform and Haar transform Here five proportions of constituent transforms alias 1:16, 1:4, 1:1, 4:1, 16:1 are considered for generation of HWT Results prove that 4:1, 1:1, 1:4 proportions of constituent transforms in HWT gives better performance as compared to 1:1 proportion of constituent transforms for different compression ratios Also for 95% compression ratio, 4:1 ratio of DCT-Haarconstituent transforms in HWT gives better results 1:1 ratio of DCT-Haarconstituent transforms give better results for compression ratios between 70% and 90% For lower compression ratios, 1:4 proportions of DCT-Haarconstituent transformsin HWT gives better performance