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Sharma, Sanjay Kumar
- A Paper on Decision Feedback Equalization (DFE) with Space-Time Spreading (STS) in Wcdma Downlink Channel
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Authors
Affiliations
1 Department of Electronics and Communication Engg., Krishna Institute of Engg. & Technology, 13KM stone, Ghaziabad-Meerut Road, Ghaziabad-201206 (U.P.), IN
2 Department of Electronics and Communication Engg, Jamia Millia Islamia, New Delhi-110025, IN
1 Department of Electronics and Communication Engg., Krishna Institute of Engg. & Technology, 13KM stone, Ghaziabad-Meerut Road, Ghaziabad-201206 (U.P.), IN
2 Department of Electronics and Communication Engg, Jamia Millia Islamia, New Delhi-110025, IN
Source
Journal of Advances in Engineering Sciences, Vol 2, No 1 (2009), Pagination: 31-36Abstract
In third generation commercial wideband code division multiple access (WCDMA) systems, orthogonal codes are used to spread transmitted signal in the downlink channel to accommodate different users. But, the frequency selective fading destroys the orthogonility and produces multiple access interference (MAI). One can use Rake receiver in the WCDMA downlink channel. Although a Rake receiver provides reasonable performance due to path diversity, it doe not restore the orthogonality. A linear equalizer followed by a spreader may be an attractive alternative receiver to restore the orthogonality and to suppress the MAI. However, the performance of a linear equalizer depends on the spectral characteristics of the channel and thus may not be satisfactory for some channels. To overcome this difficulty, a decision feedback equalizer (DFE) can be used. In this paper, we have investigated a decision feedback equalizer (DFE) for WCDMA downlink channel with multiple antennas. The work includes the design of the DFE when the space-time spreading scheme is employed at the transmitter. Simulation results show significant performance gains compared to the Rake receiver and the linear equalizer.Keywords
Decision Feedback Equalizer (DFE), Wideband Code Division Multiple Access (WCDMA), Rake Receiver, Multiple Access Interference (MAI).
- Comparative Analysis on Load Balancing Techniques in Cloud Computing
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Authors
Affiliations
1 Department of Computer Science, Chandigarh Engineering College, Landran, Mohali – 140307, Punjab, IN
2 Department of Computer Science, Chandigarh University, Gharuan (Mohali) - 160036, Punjab, IN
1 Department of Computer Science, Chandigarh Engineering College, Landran, Mohali – 140307, Punjab, IN
2 Department of Computer Science, Chandigarh University, Gharuan (Mohali) - 160036, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 11 (2016), Pagination:Abstract
Background/Objectives: Cloud computing is an arena that is ruling the world of information technology. Every user has its own definition for this technology as per their use. This paper is properly discussed document that describes the complete evolution of cloud computing from its beginning. Findings: With the presence of vast literature in field of load balancing, it was found confusion for the new scholars to find the startup point for their research in this field. Therefore, an exhaustive comparison has been made for the superior understanding of cloud evolution through various proposed algorithms from the past many decades, which will make the researchers possible to analyze the existing scenarios and a better way out to overcome the unsolved queries. Application/Improvements: The assessments between the algorithms will help the new researchers to analyze and opt for the parameters those need much more concentration to meet the required targets for better outcomes in the field.Keywords
Cloud Computing, Information Extraction and Performance Measure, Load BalancingFull Text
- Strategic Leaderhip-A Case Study in Engineering Education Scenario
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Authors
Affiliations
1 Department of Electronics & Communication Engineering, ABES Engineering College, Ghaziabad, IN
2 Department of Civil Engineering, ABES Engineering College, Ghaziabad, IN
1 Department of Electronics & Communication Engineering, ABES Engineering College, Ghaziabad, IN
2 Department of Civil Engineering, ABES Engineering College, Ghaziabad, IN
Source
Journal of Engineering Education Transformations, Vol 30, No Sp Iss (2017), Pagination:Abstract
This research paper deals with a case study of Strategic Leadership that has shown colossal growth in terms of University results as well as the team spirit. This case study is of B.Tech First Year Team of ABES Engineering College, Ghaziabad, UP, for last two sessions 2014-15&2015-16. The team is still growing, but is on a roll!Keywords
ABESEC, FYT, Strategic Leader, FYC, HOD-AS and H, SHs.- Quantitative Assessment of BIGV and Structural Response Based on Velocity and Frequency Around an Opencast Mine
Abstract Views :241 |
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Authors
Affiliations
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi 221 005, IN
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi 221 005, IN
Source
Current Science, Vol 121, No 2 (2021), Pagination: 275-285Abstract
Blast-induced ground vibration (BIGV) velocities and frequencies are of major concern due to their adverse effects and damage to structures. Therefore, it becomes essential to assess the velocities and frequencies induced by blasting in terms of quantitative and qualitative assessment to overcome the problems. There is a need for scientific studies using devices like triaxial geophone associated with a seismograph to measure the peak particle velocity (PPV) and dominant frequency which cause damage to domestic or residential structures near an opencast mine. Each mine has specific geo-mining conditions, and scientific studies provide appropriate results. In total, 32 number of blasting data sets were recorded at every 50 m from the blast site to the last observation point near the village. Ground vibration associated damage criteria is defined in terms of the PPV at different frequency levels and the strength of the structures under study. The permissible limits of BIGV has been provided by the Directorate General of Mines Safety, Dhanbad, India. The permissible PPV values of the BIGV in India is 2, 5, 10 for the historical and sensitive structures, 5, 10, 15 for domestic houses and 10, 20, 25 for industrial buildings at 25 Hz dominant excitation frequencies respectively. The recorded dataset has been proposed through standard models. The velocity amplitude versus frequency gives a reliable relationship about damage criteria of structures. The structures were analysed vis-à-vis PPV and dominant frequency to correlate the damage possibility. The present study carried out in a mega opencast project provides the basic knowledge to assess the safe distance from blasting site for specific charge of explosive, waves which are responsible for more damage to nearby structures and to determine the correlation coefficient between measured and predicted PPV values.Keywords
Frequency, Ground Vibration, Opencast Mine, Peak Particle Velocity, Structural Response.Full Text
References
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- Kumar, A., Kumar, S., Sharma, S. K. and Singh, C. S., Assessment and prediction of BIGV using different attenuation equation in opencast mine. Int. J. Innov. Technol. Expl. Eng., 2020, 9(4), 2296–2303.
- Kumar, A., Kumar, S., Sharma, S. K., Kishore, N. and Singh, C. S., Assessment of blast-induced ground vibration frequency in opencast coal mine: a multivariate statistical regression model. Int. J. Innov. Technol. Expl. Eng., 2020, 8(5), 3233–3237.
- Prediction of Blast-Induced Ground Vibration Using Multi-Variate Regression Analysis in an Opencast Mine
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Authors
Affiliations
1 Department of Mining Engineering, IIT (BHU), Varanasi 221005, IN
1 Department of Mining Engineering, IIT (BHU), Varanasi 221005, IN
Source
Journal of Mines, Metals and Fuels, Vol 69, No 7 (2021), Pagination: 216 - 224Abstract
The consumption of hydrocarbon is increasing day by day. A number of technologies are being used to meet out the demanded quality. The drilling and blasting is a cheapest way to exploration and excavation in mining industries. The blasting creates excessive amount of energy in different form of ground vibration as shaking of Earth, flyrock, removal and transportation of overburden rockmass and other noise. Blast-induced ground vibration has some adverse effects on surrounding environment as well as community living nearby the opencast mine. The study was conducted at opencast coal mine in Chhattisgarh. A total number of 32 data sets have been measured with different parameters such as; maximum charge per delay (MCPD), observation distance, charge length, spacing, burden, blast hole depth, hole diameter, etc. as well as peak particle velocity (PPV), frequency and peak vector sum (PVS). In present study, main focus on measurement and prediction of peak particle velocity by different predictor model (USBM, Indian Standard, DGMS) and multi-variate statistical regression analysis (MVSRA). Simple linear regression model (SLRM) is used to determine the site characteristics constants. The constants are used to establish new prediction model equations among different parameters. Finally, assess the blast induced ground vibration on the basis of measured and predicted peak particle velocity.
Keywords
Blasting, ground vibration, PPV, maximum charge per delay, MVSRAReferences
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- A Load Balancing Aware Task Scheduling using Hybrid Firefly Salp Swarm Algorithm in Cloud Computing
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Authors
Affiliations
1 Department of Computer Science and Engineering, Banasthali Vidyapith, Niwai
2 Department of Computer Science and Engineering, Banasthali Vidyapith, Niwai, IN
1 Department of Computer Science and Engineering, Banasthali Vidyapith, Niwai
2 Department of Computer Science and Engineering, Banasthali Vidyapith, Niwai, IN
Source
International Journal of Computer Networks and Applications, Vol 10, No 6 (2023), Pagination: 914-933Abstract
Cloud computing is an evolutionary computational model which provides on-demand scalable and flexible resources by the pay-per-use concept. Due to the flexibility of cloud, several organizations are setting up more data centers and switching their businesses to the cloud technology. These industries need a proper load balancing to ensure the efficient resources utilization, which reduces resource wastage and helps to optimize costs. Optimal resource allocation can be achieved through efficient task scheduling and load-balancing. An efficient scheduling with load-balancing allocates resources in a balanced way and optimizes the quality of service (QoS) parameters. Task migration is the best way to balance the load. This paper hybridizes the Salp Swarm Algorithm (SSA) with the Firefly Algorithm (FFA), named as Hybrid Firefly Salp Swarm Algorithm (HFFSSA). This approach utilizes FFA's operators to enhance the exploitation capability of SSA by functioning as a local search. Further, a load balancing (LB) heuristic is proposed and incorporated with HFFSSA, named as Load Balancing Salp Swarm Algorithm (LBFFSSA). For verification, the presented work is evaluated by two experimental series. First HFFSSA is tested on global benchmark functions, where it shows its superiority over other existing metaheuristic approaches such as Firefly Algorithm (FFA), Grey Wolf Algorithm (GWO), Particle Swarm Optimization (PSO), and Salp Swarm Algorithm (SSA). In the second series, the LB-FFSSA is evaluated on real datasets (Planet Lab and NASA) using CloudSim Simulator; again, results outperform similar metaheuristics. The simulation results show that LB-FFSSA significantly reduces makespan and improves resource utilization. Furthermore, the proposed algorithm minimizes the Load imbalance Factor (LIF) by migrating the task from an over utilized virtual machine to an underutilized one. It also shows improvement in waiting time and throughput. Simulation results prove that proposed model improves by an average up to 32.3%, LIF by 50.4%, throughput by 42.1%, resource utilization by 40%, and waiting time by 50%.Keywords
Cloud Computing, Hybrid Task Scheduling, Firefly (FFA), Salp Swarm Algorithm (SSA), Task Migration, Load Balancing.Full Text
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