Bangladesh has been using fossil fuel sources for the last years to generate electricity. The electricity power generation capacity of Bangladesh must enlarge to support the increasing electricity demand nowadays. As the conventional fuel resources are limited on the earth, renewable resources (ex: PV, wind) must be used in the future. The aim of this study is to design a hybrid electricity and hydrogen production system with the photovoltaic, wind turbine, hydro, diesel generator, electrolyzer, and reformer using Hybrid Optimization Model for Electric Renewable (HOMER) software under the study area Delduar, Tangail, Bangladesh (2408.5/N, 89054.1/E). This research focuses on maximum electricity generation using renewable energy sources with a minimum cost of energy (COE). According to the Homer optimization model, the levelized cost of energy (COE) based on a PV-wind-hydro-diesel generator-electrolyzer-reformer-battery hybrid electricity generation system is $0.281, the net present cost is $3.22 million, and operating cost $60,401 with 99.5% renewable fraction respectively. Furthermore, the analysis confirms that hybrid PV-wind-hydro-diesel generator-hydrogen power plant construction in Delduar, Tangail area is economically feasible.

The objective of the research is to design and evaluate the grid-connected solar photovoltaic roof-top system at Tetulia, Panchagrah, Bangladesh using PVsyst software. The main factors of this research are the move toward renewable energy like PV with environmental consequences. The overall performance of a photovoltaic cell is determined by the amount of solar irradiation, the type of PV module used, and the orientation of PV module. Now, the grid-connected PV system is the best choice for large-scale renewable energy. For the case study, PVsyst software is used to analyze a 3kW solar PV plant installed on a rooftop for residential load consumption of 8.1kWh/day. The available AC energy generated by the PV panels is 4172kWh/year, and 1871kWh/year of surplus energy is supplied to the grid after daytime power demand is met. The yearly global horizontal irradiation of Tetulia, Panchagrah is 1485.4kWh/m2 and during the night, the quantity of electricity imported from the grid is 1050kWh/year. This technology helps in the prediction of power outages and backup energy storage because it makes use of the energy stored in the batteries.

This paper proposes multiple optimal combinations of renewable and nonrenewable energy systems for Nilphamari, Bangladesh. The Nilphamari relies mainly on on-grid electricity system. Therefore, the optimal combination of hybrid energy systems related to renewable and nonrenewable options is proposed to mitigate grid dependency. This hybrid energy system generates electricity for the consumption loads of the project area in which the natural resource potentials like solar, wind, hydro, and diesel are available. All power sources and resources data are included in the Homer software carefully. Finally, the Homer software is applied for viable techno-economic investigations especially cost of energy (COE) and net present cost (NPC) for the proposed hybrid system in Nilphamari, Bangladesh. The optimization result indicates that $0.224/kWh is the minimal COE. The proposed system has an operating cost of $16,156.16, a COE of $0.241/kWh, an NPC of $2,961,790.00, and a CO2 output of 3,373 kg per year. The proposed system's legitimacy, as determined by the LCOE and the NPC, was confirmed by optimization analysis. Within a few years of the project's lifetime, the system is estimated to pay for itself completely. The evaluations yielded the best system configurations, hybrid system costs, fuel savings, and CO2 emission reductions.

We explore Apache Spark, the newest tool to  analyze big data, which lets programmers perform in-memory computation on large data sets in a fault tolerant manner. MapReduce is a high-performance distributed BigData programming framework which is highly preferred by most big data analysts and is out there for a long time with a very good documentation. The purpose of this project was to compare the scalability of open-source distributed data management systems like Apache Hadoop for small and medium data sets and to compare it’s performance against the Apache Spark, which is a scalable distributed in-memory data processing engine. To do this comparison some experiments were executed on data sets of size ranging from 5GB to 43GB, on both single machine and on a Hadoop cluster. The results show that the cluster outperforms the computation of a single machine by a huge range. Apache Spark outperforms MapReduce by a dramatic margin, and as the data grows Spark becomes more reliable and fault tolerant. We also got an interesting result that, with the increase of the number of blocks on the Hadoop Distributed File System, also increases the run-time of both the MapReduce and Spark programs and even in this case, Spark performs far more better than MapReduce. This demonstrates Spark as a possible replacement of MapReduce in the near future.

In this paper, the authors have proposed an innovative approach for generating a pseudo random ternary sequence by using a primitive polynomial, trace function, and Legendre symbol over odd characteristics field. Let p be an odd prime number, F_P be an odd characteristic prime field, and m be the degree of the primitive polynomial f(x) Let w be its zero and a primitive element in F_pm* In the beginning, a primitive polynomial f(x) generates maximum length vector sequence, then the trace function Tr(.) is used to map an element of the extension field (F_pm) to an element of the prime field F_p then non-zero scalar A∈F_p is added to the trace value, and finally the Legendre symbol (a/p) is utilized to map the scalars into ternary sequence having the values, {0,1,and -1} By applying the new parameter A the period of the sequence is extended to its maximum value that is n=p^m-1 Hence, our proposed sequence has some parameters such as p,m,and A This paper mathematically explains the properties of the proposed ternary sequence such as period and autocorrelation. Additionally, these properties are also justified based on some experimental results.