International Journal of Engineering and Management Research
Not a member yet
1311 research outputs found
Sort by
A Simulation Study on Warpage Analysis of Injection Moulded Plastic Part
No full textA part to be injection molded is evaluated by simulation for warpage analysis. The plastic part is a supporting plate to be used in the oil filter and it’s made out of nylon material. The effect of various parameters from design to processing of plastic parts is considered and validated by simulation results. The research involved in this was designing mould, computer-aided engineering, simulation analysis, and determination of plastic part processing conditions.In this work PA66 (Grade name – Zytel 70G13HS1LNC010) material is used and the material contains 13 % of fiber. Fiber orientation is nothing but the distribution of plastic melt inside the cavity and it also plays important role in deciding the warpage of part.The effect of process parameters on part warpage is investigated from various aspects in comparison with the conventional runner system. Hot runner mould system with innovative cooling channel designs is good results-driven. Results of simulations reveal that elevated mould temperature reduces the unwanted freezing time during the injection phase and thus improves mouldability and enhances part quality. Under similar mould temperature conditions, the effect of process parameters on warpage decreases according to the following order, packing time, packing pressure, melt temperature, injection pressure, and cooling time respectively
Landslide Susceptibility Assessment Using Modified Frequency Ratio Model in Kaski District, Nepal
No full textLandslides are the most common natural hazards in Nepal especially in the mountainous terrain. The existing topographical scenario, complex geological settings followed by the heavy rainfall in monsoon has contributed to a large number of landslide events in the Kaski district. In this study, landslide susceptibility was modeled with the consideration of twelve conditioning factors to landslides like slope, aspect, elevation, Curvature, geology, land-use, soil type, precipitation, road proximity, drainage proximity, and thrust proximity. A Google-earth-based landslide inventory map of 637 landslide locations was prepared using data from Disinventar, reports, and satellite image interpretation and was randomly subdivided into a training set (70%) with 446 Points and a test set with 191 points (30%). The relationship among the landslides and the conditioning factors were statistically evaluated through the use of Modified Frequency ratio analysis. The results from the analysis gave the highest Prediction rate (PR) of 6.77 for elevation followed by PR of 6.45 for geology and PR of 6.38 for the landcover. The analysis was then validated by calculating the Area Under a Curve (AUC) and the prediction rate was found to be 68.87%. The developed landslide susceptibility map is helpful for the locals and authorities in planning and applying different intervention measures in the Kaski District
A Critical Analysis of Review of Literature on Domestic Violence against Working Women
No full textIn our society violence is prevalent everywhere, be it outside or inside the four walls of the home. Domestic Violence includes physical abuse, emotional, economic, verbal, and sexual abuse. The social stigma of public dishonor is the greatest cause for a woman to become trapped in this frightful environment. General observation reveals that a woman who is dependent financially on her partner or her family is more prone for violence, but it is not always true. Working women, who is equally contributing for her family as other counterpart, is also equally prone for domestic violence either from her spouse or family members.
Several studies have shown that working women in India is also caught up under the vicious circle of domestic violence .Many scholarly articles are available on these issues. Here in this paper an attempt is made by researchers to review different scholarly articles and understand why domestic violence against working women happens though she is financially empowered, also to examine its different forms and the factors which are making her endure. This article is based on critical analysis of literature review and secondary data
Study of Association between Volatility Index and Nifty using VECM
No full textVolatility in capital markets is the measure degree of variability of stock return from their expected return. The volatility in the capital market is the basis for price discovery in the financial asset. The volatility index (VIX) is the measurement index of the volatility of the capital market. It is the fear index of the capital market. The concept is first coined in 1993 in Chicago Board Options Exchange (CBOE). In India, such an index was introduced in 2008 by NSE. India VIX calculates the expected market volatility over the coming thirty days on Nifty Options. It Market index is the performance metric of the Indian capital market. This index is designed to reflect the overall market sentiments. An index is an important parameter to measure the performance of the economy as a whole. While the market index measures the direction of the market and is calculated by the price movements of the underlying stocks, the Volatility Index measures the volatility of the market and is calculated using the order book of the underlying index\u27s options. In this study, we examine the association between India VIX and Nifty Index returns by using Johanson\u27s co-integration, Vector Error Correction Model (VECM), and Granger causality Tools. The data for this study covers closing data of VIX value and Nifty closing value from January 2014 to December 2019 and has a total of 1474 daily observations. The result confirms that there are co-integrating relationships (long-run association) between VIX and Nifty. The Granger causality indicates Nifty does Granger Cause VIX but VIX does not granger Cause Nifty
Introduction BIM in Engineering Curriculum: Student Perspectives from Gaza Strip\u27s Universities
No full textBIM is one of the most recent acronyms to appear in the world of architecture and construction. However, the Palestinian construction industry is encountering several problems as lack of application modern information technology and the lack of interest in BIM by Palestinian universities in Gaza Strip. So, the universities adopted strategy of using BIM as an innovative technology to allow the acquisition of new skills for student. This paper investigated the current situation and future approaches to incorporating the BIM in the curriculum and main challenges facing the BIM in engineering colleges in Palestinian universities. The population consists of bachelor engineering students; quantitative approach had adopted to collect data by using a questionnaire survey specially prepared for this purpose which was distributed to student. Returned data from 152 engineering students responding to survey were subjected to proper statistical analysis. The results indicated the knowledge about the technique is low, and they were dealing with BIM applications for duration less than one year. Focused recommendation of these results, is containing this technique as educational courses in universities, and updating this courses for suiting the technology changes periodically, providing specialized academics in order to educating and credence it officially
The Fatal Accident at Biodiversity Flyover in Hyderabad - A Case Study
No full textUrban disasters, Traffic is unavoidable due to increase in density of vehicles without adding more road space to the city. This is demanding for more flyovers, grade separators to avoid congestion at the junctions. Hyderabad is congesting with many junctions adding up to the heavy traffic and waiting time, energy, fuel and polluting the city with noise and air pollution. For economic benefit and decongestion of major junctions, Flyovers were planned and constructed. To meet this demand in Gachibowli and Hi-Tech city area, a flyover was constructed by MVR Infra projects near biodiversity junction. The present paper describes the incident of fatal accident taken place on November 23, 2019. The study also reveals aftermath actions taken by the government of Telangana and suggested various sections in the Indian penal codes for such incidents
Intelligent Irrigation System Based on ML and IoT
No full textMachine Learning and Internet of Things (IoT) is making advancements in the agricultural sector for better yield quality and effective farming strategies. Due to scarcity of clean water, optimal use of water is required. Less amount of water or excess water can damage the crop. To avoid this, we are designing an Intelligent Irrigation System with the help of IoT and ML Algorithms. ML can help in improving the Irrigation System in such a way that it eradicates crop disease due to excess irrigation, increases yield, optimizes water usage, hence saving clean water. This survey paper aims to help farmers to improve their productivity and quality of crops
Does Technostress Impact On University Students’ Academic Performance in the New Normal?
No full textTechnostress is a critical disease in the current competitive environment experienced by all of us with the rapid enhancement in technology. COVID-19 pandemic has changed people’s lives to blend more with technology. Earlier, organizations and employees used more technology compared to school & university students. But now students have to use technology to do their studies, maintain their association with friends and to spend their leisure time as well. Moreover, every private and public educational institute is converting into online learning and teaching. Specially, all government universities are conducting lectures and assessments using technology. Even though this technology enables us to continue all our daily routines, it has a dark side that we need to examine. The purpose of this paper is to discuss about the technostress and its impact on academic performance among university students in Sri Lanka. Technostress is defined as a common problem of adaptation that may occur if the user is unable to adapt to, or work effectively with information and communication technology. This is vastly visible in government universities because there are many students who have stepped into the university representing both rural and urban areas in Sri Lanka. Technostress consists of several dimensions, including Techno-overload, Techno-invasion, Techno-complexity, Techno-insecurity, and Techno-uncertainty. There is a lack of empirical studies from the Sri Lankan context in relation to technostress and academic performance hence it is vital to examine the prevalence of technostress among undergraduates and postgraduates in Sri Lankan universities. This study therefore aims to provide researchers and practitioners a meaningful understanding of the university students\u27 technostress and its influence on academic performance in the new normal
COVID-19\u27s Impact on the Indian Tourism and Hospitality Industry
No full textThe COVID-19 pandemic is the world\u27s most serious human calamity in 2020, and it has wreaked havoc on India\u27s economy. The COVID-19 pandemic has wreaked havoc on India\u27s economy in a variety of ways. The impact of COVID-19 on one of the most vital sectors, tourism, has been exceedingly distressing and has resulted in significant losses. As a developing economy, India was already in a precarious position before COVID-19. India\u27s sudden nationwide lockdown was the world\u27s largest. The four stages of continuous countrywide lockdown, which lasted more than two months, had a tremendous impact on India\u27s tourism economy. The Indian travel and tourism sector contributed 6.8% of India\u27s GDP in 2019 and generated 39,821 million jobs, or about 8.0 percent of total employment. The Indian tourism and hospitality industry is now forecasting a job loss of 38 million people. The Indian government has taken significant steps to resurrect the tourism industry. The Indian travel and tourist industry has begun to set general safety and hygienic standards for hosting and serving clients, as well as attempting to restore people\u27s faith in travelling again following the corona outbreak
Environmental Audio Tagging Using Deep Convolution Neural Network and Digital Signal Processing
No full textMachine learning has experienced a strong growth in recent years, due to increased dataset sizes and computational power, and to advances in deep learning methods that can learn to make predictions in extremely non-linear problem settings. The intense problem of automatic environmental sound classification has received alarming attention from the research community in recent years. In this paper the audio dataset is converted into mass spectrogram using Digital Signal Processing (DSP). The spectrogram thus obtained is fed to the Convolutional Neural Network (CNN) for the classification of the audio signal. In this we present a deep convolutional neural network architecture with localized kernels for environmental sound. By training the network on another additional deformed data, the hope is that the network becomes invariant to all deformations and generalizes better to all unseen data. We show that the proposed DSP in combination with CNN architecture, yields state-of-the-art performance for environmental sound classification