International Journal of Emerging Science and Engineering
EISSN : 2319-6378
Published by: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP (10.35940)
Total articles ≅ 16
Latest articles in this journal
Published: 30 June 2021
International Journal of Emerging Science and Engineering, Volume 7, pp 1-9; https://doi.org/10.35940/ijese.c2509.067321
Pull system and Kanban are effective lean manufacturing tools. Though many companies in various manufacturing fields have successfully implemented pull manufacturing using Kanban systems, such studies in apparel manufacturing are rarely found. Kanban system was implemented in an apparel manufacturing company, which had implemented some of the lean manufacturing tools. The apparel manufacturing line was identified in four different sub sections and separate Kanbans were used in each sub section. The system was evaluated using two parameters: the number of Kanban cards in each point; the production output. Correct number of Kanban cards were found at all the time of the monitoring period of two weeks-the production efficiency has increased by 22%.
Published: 30 May 2021
International Journal of Emerging Science and Engineering, Volume 7, pp 1-10; https://doi.org/10.35940/ijese.b2502.057221
In the steel industry - Tata steel, India, most of the lime produced in the lime plant is used in the steel-making process at LD shops. The quality of steel produced at LD shops depends on the quality of lime used. Moreover, the lime also helps in the crucial dephosphorization process during steel-making. The calcined lime produced in the lime plant goes to the laboratory for testing its final quality (CaO%), which is very difficult to control. To predict, control and enhance the quality of lime during lime making process, five machine-learning-based models such as multivariate linear regression, support vector machine, decision tree, random forest and extreme gradient boosting have been developed using different algorithms. Python has been used as a tool to integrate the algorithms in the models. Each model has been trained on the past 14 months’ data of process parameters, collected from level 1 sensor devices, to predict the future quality of lime. To boost the model’s prediction performance, hyper-parameter tuning has been performed using grid-search algorithm. A comparative study has been done among all the models to select a final model with the least root mean square error in predicting and control future lime quality. After the comparison, results show that the model incorporating support vector machine algorithm has least value of root mean square error of 1.23 in predicting future lime quality. In addition to this, a self-learning approach has also been incorporated into support vector machine model to enhance its performance further in realtime. The result shows that the performance has been boosted from 85% strike-rate in +/-2 error range to 90% of strike-rate in +/-1 error range in real-time. Further, the above predictive model has been extended to build a control model which gives prescriptions as output to control the future quality of lime. For this purpose, a golden batch of good data has been fetched which has shown the best quality of lime (≥ 94% of CaO%). A good range of process parameters has been extracted in the form of upper control limit and lower control limit to tune the set-points and to give the prescriptions to the user. The integration of these two models (Predictive model and control model) helps in controlling the quality of lime 12 hours before its final production of lime in lime plant. Results show that both models (Predictive model and control model) have 90% of strike-rate within +/-1 of error in real-time. Finally, a human machine interface has been developed to facilitate the user to take action based on control model’s output. Eventually this work is deployed as a lime making process automation to predict and control the lime quality.
Published: 30 March 2021
International Journal of Emerging Science and Engineering, Volume 7, pp 1-3; https://doi.org/10.35940/ijese.a2494.037121
A customer’s decision to purchase a product or service are primarily influenced by online reviews. Customers use online reviews, which are valuable sources of information to understand the public opinion on products and/or services. Dependability on online reviews can give rise to the potential concern that violator could give deceitful reviews in order to synthetically promote or decry products and services. This practice is known as Opinion Spam, where spammers manipulate reviews by making fake, untruthful, or deceptive reviews to get profit and boost their products, and devalue a competitor’s products. In order to tackle this issue, we propose to build a fraud risk management system and removal model. This captures fraudulent transactions based on user behaviors and network, analyses them in real-time using Data Mining, and accurately predicts the suspicious users and transactions. In this system, we use two algorithms NLP and TF-IDF to differentiate between fake and genuine reviews or feedback received by the customers.
Published: 28 February 2021
International Journal of Emerging Science and Engineering, Volume 6, pp 1-5; https://doi.org/10.35940/ijese.l24900.0261221
Interest in philosophy and the humanities increased after the Second World War, especially in the West, as the critical movement began to reconsider the Western intellectual and philosophical heritage, and emerged approaches known as” postmodernism“, as critical foundations of Western cultural thought, and a product of that cultural and cognitive movement known as” postmodernism"; the concept of postmodernism, which is central This term is associated with a very diverse group that is rarely associated with each other with common things. The idea of postmodernism appears in a critique of the literary and philosophical trends on which modernism was based, and some theorists and philosophers believe that postmodernism is closely related to the social and political transformations that took place in industrial societies such as the postindustrial or knowledge society. Deconstruction is important critical movement as well as controversial, and no theory in literary criticism has provoked waves of admiration and created a state of aversion and resentment as well, as deconstruction has done in contemporary literary thought. Deconstruction emerged in the 1960s as a reaction to structuralism, the dominance of language, the centralization of the mind, and the dominance of linguistics over all fields of knowledge, and from the 1970s deconstruction became a literary critical methodology, and a mechanism for evaluating rhetoric and interpretation. Deconstructionism is mainly a critique of the structural proposition, which has been working to reveal the basic structures responsible for the most noticeable features of social and cultural interaction, since deconstructionism consistently negates the meaning in the text system and analyzes the margins, gaps, expectations, contradictions and conclusions within the texts, as formulations that contribute to the disclosure of the background of language and structure.
Published: 25 October 2020
International Journal of Emerging Science and Engineering, Volume 6, pp 1-8; https://doi.org/10.35940/ijese.k2482.1061120
Game-based learning is an approach to learning where gaming concepts are implemented in learning tasks designed by teachers. Here, learning activities boost a student’s commitment and inspiration to learn. Components of game-based learning include quizzes, point systems, leader boards, and classroom response systems. With the advancements in the field of education, game-based learning has proven that it is a utilitarian option in improving a student’s assessment where paper-based evaluation is not possible. Various Game-Based Learning Systems have been built previously and, in this paper, we have compared 11 existing models based on various factors like cost, quiz customization options, mobile support, etc. We have also pointed out the benefits and limitations of these systems. None of these systems give a complete set of all the features without being exorbitantly costly. So, we aspire to assemble a credible teaching project where all aspects would be included in a single application for the complete assessment of every student. The system has several key features like OCR, Speech to Text recognition, anti-cheating tools, and feedback after the quiz. For executing OCR, we have used OpenCV because of its extensive admiration and for Speech-to-Text Recognition (STR), we have adopted the SpeechRecognition library because it is quite adaptable. This system aims at reducing the workload of teachers by creating a test by scanning the questions with the help of OCR or by using STR so the teacher need not type the question and also by assessing students based on their scores
Published: 25 June 2020
International Journal of Emerging Science and Engineering, Volume 6, pp 1-4; https://doi.org/10.35940/ijese.j2468.0661020
Now-a-days, the environmental impact of automobiles is increasingly becoming one of the most important social issues. Major environmental impact is smog producing gases . These gases emitted from the vehicles may pollute the air, water, soil and it results in acid rain, global warming, nausea and also leads to death. To meet current and future regulations with less emission of gases, alternative technologies like Hybrid Electric Vehicle (HEV) is being developed. A HEV is a type of hybrid vehicle that combines a conventional Internal Combustion Engine (ICE) system with an electric propulsion system. These hybrid vehicles reduce the discharge of pollutants from the vehicles powered by fossil fuel. These vehicles are propelled by electric motors which is powered by the energy stored in the batteries . The battery charges when the vehicle is in running condition. HEVs are fuel efficient and is good to the environment. It produces twice as many miles per gallon. The presence of this method is intended to achieve either better fuel economy than a conventional vehicle.
Published: 25 April 2020
International Journal of Emerging Science and Engineering, Volume 6, pp 1-5; https://doi.org/10.35940/ijese.h2478.046920
Physiological or behavioral characteristics of a person being identified or verified using biometric systems. The preprocessing block has the fir filter in which enhanced energy-efficiency has been obtained by introducing the low power architectures within it. The implementation of low power architectures in the fir filter part will further provide the optimization in the various parameters such as power, area and timing. Therefore, this will help us to do the biometrics process faster and efficient.
Published: 25 April 2020
International Journal of Emerging Science and Engineering, Volume 6, pp 6-11; https://doi.org/10.35940/ijese.g2334.046920
Columns rest on the beam without foundation are called floating column.They are used commonly in multi-storey buildings which are purposed to hold parking at ground floor or open halls at higher floors. Discontinuation within the load transfer path is seen in this column. Thus theyare designed for gravity loads. But these structures aren’t designed for earthquake loads.In present scenario structures withfloating column may be a commoncharacteristic in urban India.However in tectonic areas, this type of structure is not preferred due to discontinuity of load transfer path i.e. whole earthquake load on the structure is shared by the shear walls without any loads on the floating columns.This paper review the nature of a multi-storey building under quake forces with and without of floating columns.This analysis focus the importance of specially identifying the presence of the floating column within the study of the struture, establish its correlation with the building without a floating column using designing software Extended three dimensional analysis of building systems (ETABS). This paper also discusses the performance of structure having floating column in seismically active areas. Besides these various parameter such as maximum displacement, effect on number of storey on drift, base shear are also studied.
Published: 25 March 2020
International Journal of Emerging Science and Engineering, Volume 6, pp 1-5; https://doi.org/10.35940/ijese.h2461.036820
The huge developments in touch screen devices and used in Computer vision developed the methodologies for recovering the images based on content. However in certain situations narration is the best suitable way to express and hence in the views of narration sketch based images are thus developed and utilized. These sketch based images are most useful in identifying face in criminal investigations. This paper provides a methodology for retrieving such sketch based images using the correlation based matching and generalized gamma mixture models. Performance is measured using precision and recall.
Published: 25 March 2020
International Journal of Emerging Science and Engineering, Volume 6, pp 6-9; https://doi.org/10.35940/ijese.h2467.036820
Now a days, the technology has been increased. Hence this is a tool for the advancement of the earlier things. So we are making use of the technology for restaurant scoring system. The fame of unmanned restaurants is the hot topic in society. Because of the absence of the staff, there is no direct contact with the customers to take feedback of the restaurant. This paper represents the automated rating system for the restaurants by detecting the facial emotions with the help of Convolutional Neural Network [CNN] .It consists of web server and a pretrained CNN and detection of facial expression.