Summary
In the industrial sector, poor power quality (PQ) can malfunction or shut down the processes or equipment, which leads to excessive loss in revenue. During a visit to a chemical industry, it has been observed that equipment ceases operation frequently due to PQ issues, which hinders the completion of consignment within the stipulated time. It has made the industrial authority to feel the need for quantifying the loss of economy due to frequent equipment trip to provide proper immunity to the system against PQ issues. This paper deals with the assessment of financial losses in industrial loads due to voltage sag. Analytical methods considering Monte Carlo simulation technique is implemented for the evaluation of voltage sag due to the occurrence of symmetrical and unsymmetrical faults. Depending on the characteristics of sensitive equipment towards voltage sag, the process trips were evaluated using probabilistic methods for a chemical industry's distribution system. In this paper, a concept of sag score is used to find out the most sensitive buses for the evaluation of the cost of the equipment trip. An energy index is given for the industrial system to find out how much energy is being unused during a voltage sag event. Factors like variable cost, restart cost and hidden cost are influenced by the tripping of sensitive equipment due to voltage sag. The data are collected from the industrial personnel for the evaluation of the proposed methodology.
Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of approximately twenty packages and a few “affiliated” packages. It expands the typical Python data analysis tools for particle physicists. Each package focuses on a particular topic, and interacts with other packages in the toolset, where appropriate. Most of the packages are easy to install in many environments; much work has been done this year to provide binary “wheels” on PyPI and conda-forge packages. The Scikit-HEP project has been gaining interest and momentum, by building a user and developer community engaging collaboration across experiments. Some of the packages are being used by other communities, including the astroparticle physics community. An overview of the overall project and toolset will be presented, as well as a vision for development and sustainability.
A rectangular microstrip patch antenna using conventional Poly Tetra Fluride Ethelene (PTFE) substrate with air cavity is proposed and theoretically investigated. Considerably high gain along with improved front to back radiation isolation is demonstrated using such proposed antenna. The radiation performance of this new antenna has been compared to a conventional microstrip patch for some commonly used aspect ratios (width to length ratio). Compared to conventional microstrip antenna the proposed configuration shows more than 12% increment in peak gain and more than 10% increment in front to back radiation performance in each set of aspect ratio. The elucidation of such improvement in the radiation characteristics of the proposed antenna is also presented
In the last stages of data analysis, physicists are often forced to choose between simplicity and execution speed. In High Energy Physics (HEP), high-level languages like Python are known for ease of use but also very slow execution. However, Python is used in speed-critical data analysis in other fields of science and industry. In those fields, most operations are performed on Numpy arrays in an array programming style; this style can be adopted for HEP by introducing variable-sized, nested data structures. We describe how array programming may be extended for HEP use-cases and an implementation known as awkward-array. We also present integration with ROOT, Apache Arrow, and Parquet, as well as preliminary performance results.
Aim: The purpose of this study was to find out the effectiveness of stress management programme among Physical education teachers. Objectives: To identify the level of stress and to test the effect of stress management among Physical education teachers. Methods: One hundred and twenty one participants were involved in the study to prove the effectiveness of stress management techniques among the Physical education teachers by using stress questionnaire. The purpose of the study was to determine the effectiveness of stress management program among Teachers. Before starting the techniques were introduced and the stress questionnaire was used for pre-test. The program starts from coping skill to verbalization the same stress questionnaire is given for the post test purpose. Results: The results showed that there was a significant difference between the pre and post test of stress questionnaire (75.386 if p= 0.000). The stress level was said to be reduced after the application of stress management techniques. Conclusion: Study concluded that various relaxation techniques should be established for reducing the level of stress on the Physical education Teachers.
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