39 research outputs found
Analisis Kesejahteraan Petani Karet Di Desa Sorek Dua Kecamatan Pangkalan Kuras Kabupaten Pelalawan
This study aims to determine the income of rubber farmers and the level of welfare of rubber farmers in Sorek Dua Village, Pangkalan Kuras District, Pelalawan Regency. The sample from this study amounted to 37 rubber farmers using a survey method, namely by questionnaires and interviews. In analyzing the data, the author uses descriptive analysis with a quantitative approach. Descriptive analysis is an analysis that describes the problem clearly on the data being researched and defines the data that comes from primary data and secondary data which then concludes the results. While quantitative analysis is called statistical analysis. The results of this study indicate that: (1) the average monthly income of rubber farmers in Sorek Dua Village, Pangkalan Kuras Subdistrict, is Rp. 3,790,703, (2) The overall income of rubber farmers is also still much below the number of Decent Living Needs. Lack of care for old rubber plants will also reduce rubber production, thus affecting the income of rubber farmers. The overall average income of rubber farmers is Rp. 3,790,703. Rubber farmers who are prosperous or above the KHL figure are 5 people or 13.51%. Meanwhile, rubber farmers who are not prosperous or below the KHL figure are 32 people or 86.49%
BENGALI AUTHORSHIP CLASSIFICATION CORPUS (BACC-18)
If you use the Dataset, please cite the following paper. @ARTICLE{9478882,
author={Hossain, Md. Rajib and Hoque, Mohammed Moshiul and Dewan, M. Ali Akber and Siddique, Nazmul and Islam, Md. Nazmul and Sarker, Iqbal H.},
journal={IEEE Access},
title={Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks},
year={2021},
volume={9},
number={},
pages={100319-100338},
doi={10.1109/ACCESS.2021.3095967}
Study on the number density of nanobubbles at varying concentration of ethanol in ethanol-water solution
An Improved Method for Handwritten Document Analysis Using Segmentation, Baseline Recognition and Writing Pressure Detection
AbstractHandwritten document analysis is a scientific technique for identifying and understanding the personality of a writer through the strokes and patterns revealed by writer's handwriting. This research proposed an off-line handwritten document analysis through segmentation, skew recognition and writing pressure detection for cursive handwritten document. The proposed segmentation method is based on modified horizontal and vertical projection that can segment the text lines and words even if the presence of overlapped and multi-skewed text lines. Proposed work also present orthogonal projection based baseline recognition and normalization method as well as writing pressure detection method that can predict the personality of a writer from the baseline and writing pressure. The proposed method was tested on more than 550 text images of IAM database and sample handwriting image which are written by the different writer on the different background. The proposed method also provides a comparative study of the details analysis of the proposed method with other existing methods
Impact of Practical Applications on Undergraduate English Language Instruction
This article aims to share insights into the challenges faced by learners in acquiring English language skills at various stages of their academic journey, spanning from the early school years to the Undergraduate level. Drawing on two decades of teaching experience, particularly with students from rural areas in Andhra Pradesh, the author highlights difficulties encountered and proposes potential solutions. The article emphasizes the importance of incorporating practical applications in English language instruction at the Undergraduate level to debunk the misconception that learning English is insurmountable, even for those raised in challenging environments. The goal is to convey that English proficiency can be achieved comfortably, fostering a more inclusive and accessible approach to language education
Design of an Energy Management System Using a Distribution Class Locational Marginal Price as a Discrete Control Signal
abstract: The subject of this thesis is distribution level load management using a pricing signal in a Smart Grid infrastructure. The Smart Grid implements advanced meters, sensory devices and near real time communication between the elements of the system, including the distribution operator and the customer. A stated objective of the Smart Grid is to use sensory information to operate the electrical power grid more efficiently and cost effectively. One potential function of the Smart Grid is energy management at the distribution level, namely at the individual customer. The Smart Grid allows control of distribution level devices, including distributed energy storage and distributed generation, in operational real time. One method of load control uses an electric energy price as a control signal. The control is achieved through customer preference as the customer allows loads to respond to a dynamic pricing signal. In this thesis, a pricing signal is used to control loads for energy management at the distribution level. The model for the energy management system is created and analyzed in the z-domain due to the envisioned discrete time implementation. Test cases are used to illustrate stability and performance by analytic calculations using Mathcad and by simulation using Matlab Simulink. The envisioned control strategy is applied to the Future Renewable Electric Energy Distribution Management (FREEDM) system. The FREEDM system implements electronic (semiconductor) controls and therefore makes the proposed energy management feasible. The pricing control strategy is demonstrated to be an effective method of performing energy management in a distribution system. It is also shown that stability and near optimal response can be achieved by controlling the parameters of the system. Addition-ally, the communication bandwidth requirements for a pricing control signal are evaluated.Dissertation/ThesisM.S. Electrical Engineering 201
Asset Inventory System of Employee Cooperative’s Pusri Palembang Inc.
Employee cooperative has been widely existed in every institution in Indonesia, both at governement and non-government. This research aims at facilitating the office employees of the Pusri Employee Cooperative to manage the assets owned. To support this convenience, the author proposes an asset inventory system using VB.Net 2008 and MySQL database. The proposed system can be used to manage asset data in the form of asset data input, asset search, asset grouping, deletion, sales and asset reports owned. With the creation of an asset inventory system, the performance of office employees will be faster and more efficient and ensure the security of asset data. In this study the author uses the Waterfall research method including several stages i.e., requirements analysis, system design, program code generation, testing and maintenance. The method of data collection is done through interviews and direct observation to the object of research. The results of the research are expected to be useful for all office employees of the Pusri Palembang Employee Cooperative in managing data on assets owned by the office
The Cost and Benefit of Bulk Energy Storage in the Arizona Power Transmission System
abstract: This thesis addresses the issue of making an economic case for energy storage in power systems. Bulk energy storage has often been suggested for large scale electric power systems in order to levelize load; store energy when it is inexpensive and discharge energy when it is expensive; potentially defer transmission and generation expansion; and provide for generation reserve margins. As renewable energy resource penetration increases, the uncertainty and variability of wind and solar may be alleviated by bulk energy storage technologies. The quadratic programming function in MATLAB is used to simulate an economic dispatch that includes energy storage. A program is created that utilizes quadratic programming to analyze various cases using a 2010 summer peak load from the Arizona transmission system, part of the Western Electricity Coordinating Council (WECC). The MATLAB program is used first to test the Arizona test bed with a low level of energy storage to study how the storage power limit effects several optimization out-puts such as the system wide operating costs. Very high levels of energy storage are then added to see how high level energy storage affects peak shaving, load factor, and other system applications. Finally, various constraint relaxations are made to analyze why the applications tested eventually approach a constant value. This research illustrates the use of energy storage which helps minimize the system wide generator operating cost by "shaving" energy off of the peak demand.Dissertation/ThesisM.S. Electrical Engineering 201
100% Hot Mix Asphalt Recycling: Challenges and Benefits
AbstractDramatically rising asphalt binder cost, dwindling budgets, growing traffic loads, and the desire to find more sustainable paving practices are forcing agencies to seek ways for maximizing the re-use of Reclaimed Asphalt Pavement (RAP). While most of the academic and industrial institutions have been focused on the development of procedures to recycle hot asphalt mixes with up to 40% RAP content, a few industry innovators have refined 100% recycling technologies over the past four decades to a level where routine production of 100% recycled mixes is in clear sight. The main hindrance in the widespread use of 100% recycling is the unproven performance of 100% RAP pavements and lack of a unified and rational system for selection of materials and mix design. The objective of this research was, therefore, to critically investigate the concept of 100% recycling, determine whether such mixtures can perform as well as conventional asphalt mixes and if yes, develop a mixture design method for 100% recycled asphalt. This article presents a summary of the research, demonstrating that with adequate mixture design 100% recycled asphalt mixtures can perform equally to conventional asphalt. The available production technologies are also shortly summarized. Finally an environmental effect and cost calculation is performed demonstrating reduction of emission by 35% while reducing the costs of materials by half
Challenges of Urban Water Security and Drivers of Water Scarcity in Kathmandu Valley, Nepal
Water security and quality are among the six focal areas of the Eighth Phase of the International Hydrological Program. Several cities are struggling to meet water demand due to factors such as urbanization, pollution, and disasters. Consequently, water scarcity impacts various sectors, including human health and socio-economic development. Against this backdrop, we conducted research to examine the current state of water resources and the factors contributing to water scarcity in the Kathmandu Valley (KV), currently experiencing acute water shortages. The study employed three primary data collection methods, observation, interviews, and secondary data analysis, followed by qualitative analysis to achieve its research objectives. We analyzed the findings using the framework of the three pillars of Urban Water Security (UWS): water resource security, water environment security, and water disaster security. The dimensions of water quantity and quality interconnect with these pillars, which define the manifestations of water insecurity. The analysis showed that the KV significantly weakens all three of the UWS pillars. Through this research, the author developed a novel framework (PUMI): pollution, urbanization, management, and investment are root causes of water insecurity in the KV. These four factors identified and analyzed specific challenges such as inadequate building permit regulations, donor-driven investments, and poor management practices
