KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Adsorption & Diesel fuel. The organization has 427 authors who have published 381 publications receiving 2193 citations.

Dynamic Scheduling of Machines Towards the Vision of Industry 4.0 Studio—A Case Study

Abstract: Today, consistent data exchange between engineering applications such as special purpose machines, Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) systems is indispensable for efficient, error free planning and operation of plant and equipment. The approach towards Industry 4.0 Studio (I4.0)—an integration project, integrates value creation chains horizontally and processes and systems vertically. Hence the customers are indirectly benefitted with standardized and reliable better quality products within specified time at affordable cost. This paper illustrates the development of a MES system through high-level understanding process with the aid of concrete examples of functioning automation and IT delivery teams together to ensure success for the approach towards smart factory or I4.0.

Tunable energy transfer distributed feedback dye laser using pyronin B and crystal violet dye mixture

Abstract: Using pyronin B and crystal violet dye mixture, the characteristics of energy transfer distributed feedback dye laser (ETDFDL) pumped by 532 nm Nd:YAG laser were investigated. The characteristics of donor DFDL and acceptor DFDL as well as the dependence of their pulse widths and output powers on pump power and acceptor concentrations were studied. The output energy of DFDL was measured at the emission peaks of donor and acceptor dyes for different pump powers and acceptor concentrations, and tunability was observed from 570 to 645 nm using prism dye cell arrangement.

A Block Based Reversible Data Hiding Scheme for Digital Images Using Optimal Value Computation

Abstract: Recently, more importance is given to reversible data hiding (RDH) schemes because it restores original cover image without loss after the secret data is extracted and it is useful in authentication and integrity checking. In this paper, a novel RDH scheme for digital images is proposed that has high capacity with low distortion. The cover image is divided into blocks and all the pixels in the block are converted into odd value or even value by computing the optimal value of the block. The optimal value is mean, median, max histogram or min---max average which is very nearer to the pixels in the block. Secret data is directly embedded into blocks using odd even property. In the receiving end, after extracting secret data cover image can be recovered to its original form by computing the same optimal value. The proposed scheme is tested with several monochrome images and color images. The experimental results reveal that the proposed scheme has high hiding capacity with low distortion.

Geo tagged internet of things (iot) device for radiation monitoring

Abstract: The heightened utilization of ionizing radiation for diagnostic and beneficial purposes, the expeditious progress in nuclear reactors, as well as the risks of radioactive waste have raised significant safety and health concerns for the people working with radiation and the general public. While some exposure to radiation is acceptable, radiation monitoring should be done to keep the levels of radiation exposure to a minimum. In this paper, we intend to monitor and measure the radiation levels that a specific area is exposed to using a radiation sensor, and to send the data to a cloud from where the values can be accessed by the concerned authorities. In order to meet the objectives we utilize GM counters, which are radiation sensors that detect and measure the amount of radiation present in the radiation environment. The GM counter is interfaced to a NodeMCU to update the detected and measured radiation to a radiation IoT platform that can store and retrieve data across a network. Further, a GPS module is interfaced with the NodeMCU to locate the location data of the radiation emitted from the radiation sources under such radiation environment. The radiation values are remotely monitored in real time through web server configured with the radiation IoT platform to remote monitor the radiation level and mapping the location of such radiations.