A5014922166- Process Optimization and Integration
- Heat Transfer and Optimization
- Advanced Control Systems Optimization
- Machine Learning in Bioinformatics
- Smart Grid Energy Management
- Advanced Control Systems Design
- Genomics and Phylogenetic Studies
- Fractal and DNA sequence analysis
- Advanced Multi-Objective Optimization Algorithms
- Solar Thermal and Photovoltaic Systems
- Olfactory and Sensory Function Studies
- Hybrid Renewable Energy Systems
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Advanced Chemical Sensor Technologies
- Biochemical Analysis and Sensing Techniques
- Metaheuristic Optimization Algorithms Research
- Glycosylation and Glycoproteins Research
- Advanced Manufacturing and Logistics Optimization
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Thermodynamics and Statistical Mechanics
- Optimization and Packing Problems
- Industrial Vision Systems and Defect Detection
- RNA and protein synthesis mechanisms
- Innovative Microfluidic and Catalytic Techniques Innovation
Dr. B. R. Ambedkar National Institute of Technology Jalandhar
2018-2025
This study emphasizes a multi-pronged approach to improving the energy efficiency of Multi-Effect Evaporator (MEE) in paper industry. By incorporating traditional Energy-Saving Schemes (ESSs) and innovative renewable sources, demonstrates significant potential for reducing consumption environmental impact, making it decisive pathway industrial sustainability. Key ESS strategies include Thermo-Vapor Compressors, Feed Preheaters, Steam- Feed-Split, which are employed enhance Steam Economy (SE)...
Abstract In paper industries, Multiple Stage Evaporator (MSE) is used to concentrate black liquor. Due the energy intensive nature of MSE, global scenario stresses on optimizing its efficiency. Moreover, necessity a tight control product quality demands superior understanding system dynamics for controller design. This presents robust fractional‐order Proportional–Integral–Derivative (FOPID) concentration liquor in Heptad's effect MSE. First, steady‐state unknown process parameters are...
Introduction: Essential genes are essential for the survival of various species. These a family linked to critical cellular activities species survival. coded proteins that regulate central metabolism, gene translation, deoxyribonucleic acid replication, and fundamental structure facilitate intracellular extracellular transport. preserve crucial genomics information may hold key detailed knowledge life evolution. studies have long been regarded as vital topic in computational biology due...
This paper aims to maximize the energy efficiency of Multiple Stage Evaporator (MSE) increase solid concentration black liquor in Kraft recovery process. The incorporation different reduction schemes ensures a considerable magnification efficiency, which is realized by developing set nonlinear models MSE. These are optimized attain optimum process parameters that estimate Steam Economic (SE) and Consumption (SC). formulated optimization problems efficiently solved using three novel...
Similarity analysis of protein sequences can expose the evolutionary relationship among them. It is required to design effective computational algorithms that compare similarities colossal amount sequences. Alignment-based approaches this problem are often computationally expensive, especially when number large. This research aims develop an efficient alignment-free tool in field sequence comparison and phylogenetic study. The proposed method, namely EightyDVec, performs a feature generation...
Abstract The present work investigates the energy performance analysis of a heptad‐based multiple‐stage evaporator (MSE) under steady and transient conditions, integrated with different reduction schemes (such as steam split, feed preheater). steady‐state was performed to optimize economy subjected developed models equality constraints. simulated optimization is maximization problem solved by Interior‐Point Optimizer Gray Wolf on two platforms, GAMS MATLAB, respectively. Further, stability...
The tight control of the process parameters through appropriate tuning controllers is an art that imperatively employed to various industries. Most these industries are influenced by nonlinearity occurred due input parameter variation and presence disturbances. aim this work investigate nonlinear dynamics a paper industry based energy intensive unit named Multiple Stage Evaporator (MSE) in different Energy Reduction Schemes. MSE used concentrate weak Black Liquor (BL), biomass byproduct....
Abstract Minimizing energy consumption is often a grave challenge in many industrial energy-intensive process units such as Multiple Stage Evaporator (MSE). Integration of Energy Reduction Schemes (ERSs) common technique to resume countable amount energy. Hence, the present work proposes hybrid (h-) ERSs integrated MSE placed paper industry, used increase solid content black liquor. The h-ERSs Integrated comprises several Thermo-Vapor Compressor, Steam-, Feed-split, and Feed Preheater...
The comparison between the two given tertiary protein structures is as imperative that of their functions. In literature, assorted algorithms are elaborated to compare affinity and disparity among structures. But, these structure by structural alignment backbones which usually unable resolve specific differences. this paper, an attempt has been made compute use geodesic distance used describe in depth differences same. This kind would give a path biologists recognize functions manner. method...
Abstract An extensive diverseness of chemicals having discrete odours can be identified by Humans. On the basis various deviation development proposed model on olfactory receptor Human database has been proposed. There are very large family ORs sequences for example rat, Human, chimpanzee and mouse etc. In this paper we work up OR genes, as few experimental/quantitative works have done different species. It is difficult to identify a DNA sequence whether belongs particular or not, without...
Comparison of protein sequence similarity is a significant study. By virtue this method, we can expose the evolutionary relationship among sequences. So, it required to design effective computational algorithms that compare similarities colossal amount The aim research develop efficient tools in field sequences comparison and phylogenetic proposed method performs feature generation process based on physio-chemical properties amino acids best describes revolutionary species family. are...