Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

An Efficient Signaling Framework Based on Multiple Time Slots for OBS Networks

Abstract: In this paper, a multiple time slot (MTS) signaling protocol for optical burst switching network has beenproposed. The two-way reservation scheme is extended to adapt to traffic conditions in the network by dividing the available bandwidth into variable Time division Multiplexing (TDM) classes. The burst assembly process is also combined with the two-way reservation protocol to reduce the burstification delay.The performance of the proposed scheme is investigated for benefits and further compared against existent alternatives through simulations.

Suitability of chemical and electrocoagulation process on sugar industry wastewater treatment

Abstract: Socio-economics development of any nation depends on Industrialization. With increase in number of industries needs, water is an essential requirement and added extra burden in terms of fresh water and wastewater. Among all the industries, sugar-processing industry is one of them. To fulfill the demand, appropriate technology will require otherwise with limited resources low quality of water can be used for operation. The aim of this research work is to treat the wastewater generated from sugarcane-processing industry using chemical coagulation and electrocoagulation. The aluminium salt suitability of both treatments was carried out for iron and metal electrode. A result shows 82% chemical oxygen demand and 84% color removal with iron electrode was attended at 156 A−2 current density, optimum pH 6 and 120 min of treatment time. Finally, settling, filtrations, X-ray diffraction and scanning electron micrograph study also conform that iron electrode is more suitable to treat sugar industry wastewater. To treat 1 m3 of wastewater, 2.0 USD will be required including all expenses.

Automatic edge detection algorithm and area calculation for flame and fire images

Abstract: With the advent of industrialization and rise of power generation plants, the cases of firing are on the rise. Besides other methods of fire detection, the technology today has touched every single aspect of human life in a way that are unimaginable. It is widely used for instant recognition and managing a rising fire. Edge detection is a significant ingredient in flame. Edge detection techniques can protect the significant structural property of the flame and also cut down the dispensation time. This technique can used to fragment a collection of flames as well. In this paper edge detection technique using morphological operation has been proposed which gives the satisfactory outcomes and is much faster than other traditional methods as demonstrated with the help od computer simulation.

Big Data and Shipping-managing vessel performance

Abstract: Shipping business is staggering the trade by a substantial number which portrays the usage of leading technologies to deliver formative and reliable performance to deal with the increasing demand. Technologies like AIS, machine learning, and IoT are making a shift in shipping industry by introducing robots and more sensor equipped devices. The hitch big data originates as a technology which is proficient for assembling and transforming the colossal and divergent figures of data providing organizations with meaningful insights for better decision-making. The size of data is increasing at a higher rate because of the procreation of peripatitic gadgets and sensors attached. Big data is accustomed to delineate technologies and techniques which are used to store, manage, distribute and analyze huge data sheets with a high rate of data occurrence. This gigantic data is allowing to terminate the business by developing meaningful and valuable insights by processing the data. Hadoop is the fundamental basic for composing big data and furnishes with convenient judgments through analysis. It enables the processing of large sets of data by providing a higher degree of fault-tolerance. Parallelism is adapted to process big size of data in the efficient and inexpensive way. Contending massive bulk of data is a determined and vigorous assignment that needs an enormous crunching armature to guaranty affluent data processing and analysis.