Research Article
Application of Lean Manufacturing Tools and ICT to Increase Productivity Levels and Reduce Costs in the Brewing Industry in Ensenada, Baja California, Mexico
Elizabeth Romero Samaniego, Juan Gabriel Lopez Hernadez, Cory Magaña Nava, José Cupertino Pérez Murillo, Rogelio Lopez Rodriguez, Pedro Alberto Escárcega Zepeda, Rigoberto Zamora Alarcon
Middle East Research Journal of Engineering and Technology; 28-35.
DOI: 10.36348/merjet.2021.v01i01.004
Abstract: This investigation was prepared to evaluate productivity levels because in 2018 there were low rates due to inadequate planning in the manufacturing stages of a brewing industry, located in the city of Ensenada, Baja California, Mexico. Starting in 2019 and 2020, even with the presence of Covid19, productivity rates increased. Said increase in productivity was due to the application of lean manufacturing tools, such as the Value Flow Map (MFV), Kanban and Kaizen, managing to generate an efficient fluid process, and thereby increasing levels of competitiveness. In addition, an automated system was used using Information and Communication Technology (ICT) to control time and improve the flow of the production process. With the analysis of the aforementioned tools, the stages of the production lines with the highest incidence of causes that caused, in certain manufacturing stages, poor productive performance of personnel and machinery were determined, indicating levels less than 50% and thus costs of production increased, generating great concern in the directive, managerial and supervisory personnel. In addition to the lean manufacturing analysis, an automated system was designed and applied, controlled by ICT, to help detect when the process flow was not optimal, indicating the moments in which the machines performed technical stoppages and stopped the production line. The investigation was carried out in 2020, even with the presence of Covid19, the industry where the analysis was carried out continued operating normally with the safety and hygiene protocols.
Research Article
An Innovative Approach for Automatic Character Recognition of Indian Languages
Dr. Manjeet Singh, Er. Avinash Jethi, Dr. Ajay Goyal
Middle East Research Journal of Engineering and Technology; 36-40.
DOI: 10.36348/merjet.2021.v01i01.005
evelopment of OCRs for Indian script is an active area of activity today. Optical
character recognition (OCR) is the mechanical or electronic translation of images of handwritten,
typewritten or printed text (usually captured by a scanner) into machine-editable text. In simple
words OCR is a visual recognition process that turns printed or written text into an electronic
character-based file. OCR is a field of research in pattern recognition, artificial intelligence and
machine vision. Though academic research in the field continues, the focus on OCR has shifted to
implementation of proven techniques. A lot of work had been carried out for OCR at international
scenario but in Indian context a concrete approach for character recognition is still required as
scripts of Indian languages are from the group of most complex scripts and it is very hard to
recognize them. Indian scripts present great challenges to an OCR designer due to the large number
of letters in the alphabet, the sophisticated ways in which they combine, and the complicated
graphemes they result in. The problem is compounded by the unstructured manner in which popular
fonts are designed. There is a lot of common structure in the different Indian scripts. All existing
OCR systems developed for various Indian scripts do not provide sufficient efficiency due to various
factors. The objective of this paper is to discuss a more efficient character recognition technique.
This paper introduces a new technical approach to recognize Indian script characters which are
unpredictable due to different problems in other OCR‟s.
Research Article
WSN and Data Aggregation Techniques in Wireless Sensor Network
Dr. Arun Kumar Singh, Dr. Vikash Kumar Garg, Er. Abhinash Singla, Er. Renu Nagpal
Middle East Research Journal of Engineering and Technology; 41-46.
DOI: 10.36348/merjet.2021.v01i01.006
Wireless sensor network are the collection of hundreds and thousands of
tiny, battery powered sensor nodes. Sensor’s nodes co-operatively send the sense data to
base station. Wireless sensor network has several applications like habitat monitoring,
building monitoring, health monitoring, military surveillance and target tracking. Sensor
nodes have limited energy and bandwidth. As sensor nodes are battery driven, an efficient
utilization of power is essential in order to use the networks for long duration. Hence,
network lifetime is most challenging task and it became necessary to reduce data traffic
inside sensor networks, reduce amount of data that need to send to base station. This
reduction of communication data extends the network lifetime and it is possible only if
sensor nodes perform data aggregation instead of directly sending the sensed data to sink
(Base station). This paper presents various data aggregation techniques in wireless sensor
network and a novel Data Routing for In-network aggregation called DRINA. The main
goal of data aggregation is to gather and aggregate data in energy efficient manner in order
to enhance the network life time.
Research Article
Analysis on Diabetes Prediction Using Different Classifiers Techniques
Amanpreet Kaur, Gagandeep Singh, Beant Kaur
Middle East Research Journal of Engineering and Technology; 47-53.
DOI: 10.36348/merjet.2021.v01i01.007
Huge amount of data is fetched from various resources. Data that is required
from large data repository can be extracted with the use of data mining techniques, as
there might be relevant and irrelevant data present in the repository. Thus minimizes the
access of data from repository, so for increasing the data usage ability, data mining
techniques are required. In data mining data is classified in different classes which are
then used to implement a various disease prediction model. Similarly diabetes can be
predicted using these prediction models based on different parameters. Parameters include
Pregnancies, Blood Pressure, Skin Thickness, Glucose, Insulin, Diabetes Pedigree
Function, Age and many more various classifiers. Different classifiers like CART, RF,
SVM, LDA, KNN are being applied on PIMA dataset for the data at the confidence level
of 0.95. CART has highest accuracy of 88%. Lowest accuracy is of KNN. So prediction
using CART based classifiers is best.
Review Article
Analysis of Manet Routing Protocols in Wireless Communication
Rupinder Kaur Walia, Nishi Sharma, Preeti Sharma, Kiranjeet Kaur
Middle East Research Journal of Engineering and Technology; 54-57.
DOI: 10.36348/merjet.2021.v01i01.008
An unmanned aerial vehicle (UAV) is an aircraft without a human pilot and a
type of unmanned vehicle. UAVs controlled with the help of remote controller. Due to
increasing demand of UAVs the various researchers developed the new technologies in
wireless communication system. This paper majorly concerns over the Analysis and
comparison of MANET Routing protocols for UAV communication. UAVs are playing
vital roles in mobile ad-hoc networks (MANETs). Routing is most important task when we
are conducting the wireless communication among UAVs. In this paper we analyse the
performance of different type of mobile ad-hoc network (MANET) protocols for the
communication of UAVs. Various research papers over MANET Routing protocols for
UAV communication are discussed in this review paper.
Review Article
Analysis on Artificial Recurrent Neural Network for Sequence Classification of Audio Data
Er. Sukhmanpreet Singh, Er. Nardeep Singh, Er. Sandeep Kaur, Er. Mandeep Kaur
Middle East Research Journal of Engineering and Technology; 58-60.
DOI: 10.36348/merjet.2021.v01i01.009
Recurrent neural networks (RNNs) are capable of learning features and
long-term dependencies from sequential and time-series data. The RNNs have a stack of
non-linear units where at least one connection between units forms a directed cycle. A
well-trained RNN can model any dynamical system; however, training RNNs is mostly
plagued by issues in learning long-term dependencies. In this paper, we present a survey on
RNNs and several new advances for newcomers and professionals in the field. In this paper
literature survey on Artificial Recurrent Neural Network has been presented.
Research Article
Formative Investigations on Defatted Custard Guava Seed as a HighDampness Meat Analogue Employing Extrusion Cooking
Sandeep Rani, Tanuja Srivastava
Middle East Research Journal of Engineering and Technology; 61-67.
DOI: 10.36348/merjet.2021.v01i01.010
The impact of animal meat intake at the environment and additionally on the fitness
because of the increasing consciousness is a subject of discussion within the literate world. The
changing definitions of the vegetarian ingredients have drifted the vegetarian populace to vegan
products which can be absolutely devoid of any animal produce. Soy protein has emerged as an
opportunity alternative; still there are demanding situations of production and non-availability of
variety. Looking into the need of high protein wealthy plant-based totally meat analogue, the
prevailing take a look at investigates the defatted custard guava seed protein as a meat analogue
product. After the extraction of the proteins from the seeds of defatted custard guava, twin screw
corotating extruder becomes hired for the improvement of high moisture meat analogues. The
advanced protein meat analogue became analyzed for the rheological attributes, texture, thermal
properties and color. The findings supplied an proof of incorporation of defatted custard guava seed
protein within the extrudate as a stable product with protein content starting from 55.79% to
64.39%. The consistency and different attributes of the meat analogue have been quite in the
applicable variety. The viscosity of the final product changed into determined to be 60 Pa.s,
following a non-Newtonian nature of drift. The parameters like chewiness ranged from 7.77 N to
15.27 N, and the cohesiveness various from 0.42 to 0.63. The evolved meat analogue possessed the
favored traits for a meat replacement advocated by using the diverse characterization and
assessment parameters.
Research Article
Production of Glycerol with Optimisation of Reaction Parameters by using Ni, Ru & Cu/Kieselguhr Catalyst by RSM
Tanuja Srivastava, Amandeep Kaur, Swati Priyadarshi
Middle East Research Journal of Engineering and Technology; 68-75.
DOI: 10.36348/merjet.2021.v01i01.011
The selectivity of the Ni, Ru, and Cu/Kieselguhr catalysts toward the
synthesis of glycerol is emphasised in the study. The effects of various process
parameters, like the catalyst's reaction to variations in the ammonia/kieselguhr ratio and
digesting temperature, the impact of the incorporation of an ammonium ruthnate slurry
and the digestion time on the yield of glycerol were examined using response surface
methodology. The responses obtained were analysed using an analysis of variance
(ANOVA). After adding ammonium ruthnate slurry, the highest yield (41.12%) of
glycerol was obtained with the ammonia/kieselguhr ratio (5.0), digestion temperature
(70ᵒC) and digestion time (110 min). The ideal conditions were evaluated and fit the
experimental results very well. It was accounted that the catalyst was highly active and
selective for the hydrogenolysis of sucrose, glucose, fructose, and xylose.
Research Article
Rheology's Role in Food Preparation, with a Focus on Texture: A Review
Noopur Khare, Tanuja Srivastava
Middle East Research Journal of Engineering and Technology; 76-80.
DOI: 10.36348/merjet.2021.v01i01.012
Rheology is the study of the mechanical properties of materials, with a focus
on those that exhibit complex behaviour that cannot be classified as a Newtonian liquid or
an elastic solid. Rheology is now employed for a wide range of reasons, from routine
analysis in business to more complicated investigations, including macromolecular
interactions, and has grown in importance and demand in recent years for both food
science and the food industry. The development in the various fields of food rheology is
subjectively summarized, and their current state is given below. The overall sensory and
textural study of food products is the main focus. It also covers the various facets of the
food business, where rheological applications greatly enhance the textural quality of
various products.
Research Article
An Analysis of Academic Performance through Educational Data Mining Approach
Dr. Ajay Goyal, Dr. Vadivel. G, Dr. Pawan Kumar, Er. Abhinash Singla
Middle East Research Journal of Engineering and Technology; 81-85.
DOI: 10.36348/merjet.2021.v01i01.013
It is essential to improve the value of education by accurately predicting student academic achievement. Some studies have been done that concentrate primarily on predicting students' success in college. In contrast, research on secondary-level performance prediction has been sparse, yet the secondary level is often used as a standard to define students' educational progress at higher levels of education. The goal of this study was to identify the most important influences on secondary school students' academic performance and to develop an effective classification model for the prediction of academic performance by combining single and ensemble-based classifiers.
Research Article
Improved PAM Algorithm for Text Clustering in Data Mining
Dr. Ajay Goyal, Er. Jaspreet Kaur, Er. Ramanjot Kaur
Middle East Research Journal of Engineering and Technology; 86-91.
DOI: 10.36348/merjet.2021.v01i01.014
Data mining is a method that can group data into specific clusters. The text clustering is a sort of clustering where text data is grouped together based on similarities. PAM method was employed in earlier studies for text clustering. Each word's weight is determined in the PAM algorithm to produce final clusters. The PAM technique, which uses machine learning to calculate word occurrence, will be significantly enhanced in this research project. MATLAB is used to put both the suggested and current methods into practice. A number of parameters are used to examine the results, and it is determined that the proposed approach performs well across the board.
Review Article
Chilli Powder Quality Assurance: A Critical Review on Characteristics, Packaging, and Storage Practices
Usman Ahmed, Karunakar Singh, Mamta Bhardwaj, Arun
Middle East Research Journal of Engineering and Technology; 92-96.
DOI: 10.36348/merjet.2021.v01i01.015
pices exhibits an essential function in the enhancement of the aroma and taste of the manufactured foods. As spices are best known to impart aroma and taste to the foods, they have been consumed in large variety of the manufactured foods. Chilli is an essential spice crop and also India is one of the preceding producer and exporter of the chillies in the whole world. Chilliessharea major contribution in the dishes which are consumed on the daily basis and also hasan essential place in diet worldwide. Chilli is widely used around the world because of its taste and aroma imparting nature. Chilli is used both as the dried and fresh form in foods. Dried chilli powder is a spice product which is widely used for flavouring and colouring of the condiments in Asian cuisines. Chillies are the rich source of Vitamins – A, C, E, K, P, proteins and fats. Chilli powder used in households on every day basis, processed foods also utilize the spices in significant quantities. Therefore, the vital information regarding various characteristics, processing practices, packaging and storage of chilli are all reviewed in this article.
Review Article
Exploring Sustainable Solutions: A Review on the Efficacy of Low-Cost Adsorbents for Heavy Metal Removal from Aqueous Environments
Khan Nadiya Jan, Amandeep Kaur, Suhail Ahmad Bhat
Middle East Research Journal of Engineering and Technology; 97-100.
DOI: 10.36348/merjet.2021.v01i01.016
Heavy metals toxicity caused by industrial waste water and other natural sources has become a threat to environment and ecosystem for the past many decades. Very small concentration of metallic ions present in water increases health problems to living organisms. Although there are various conventional treatment methods such as chemical precipitation, ion exchange, coagulation, flocculation, electrochemical technique, adsorption and co-precipitation are available for removal of heavy metals from aqueous solution. A number of researchers paid their attention towards biosorption which involve highly effective and economical adsorption technique for removal of heavy metals using various inexpensive adsorbents such as agricultural waste material, waste by products of pharmaceutical fermentation, food processing, fruit waste and dead microbial biomass. The use of low cost adsorbents is highly preferable due to reduced cost of waste disposal and thus leads to environmental protection. In this review paper, a compiled scattered available research work related to use of various adsorbents for the removal of commonly occurring heavy metals have been reported.
Research Article
A Systematic Approach to Standardizing the Isolation Process and Characterizing Starch from Chenopodium album
Mamta Bhardwaj, Khan Nadiya Jan, Amandeep Kaur
Middle East Research Journal of Engineering and Technology; 101-105.
DOI: 10.36348/merjet.2021.v01i01.017
Research Article
Enhancing Sucrose Hydrogenolysis: Modeling and Optimization of (Ni,Mo,Cu)/Kieselguhr Catalyst Performance through Response Surface Methodology
Tanuja Srivastava, Amandeep Kaur, Prince Kumar
Middle East Research Journal of Engineering and Technology; 106-111.
DOI: 10.36348/merjet.2021.v01i01.018
The paper highlights the effectiveness of successive use of (Ni,Mo,Cu)/Kieselguhr catalyst for sucrose hydrogenolysis for production of glycerol. The catalyst was used thrice to examine the effectiveness of its repeated use during sucrose conversion. It was noticed that yields of products (glycerol, ethylene glycol and propylene glycol) reduced by successive use of catalyst. The resulted responses were evaluated by analysis of variance (ANOVA) and the second-order polynomial response surface equations were fitted using multiple regression analysis. Present catalyst did not lose much of its activity even after two runs as far as sucrose conversion was concerned. Glycerol’s yield, however, dropped appreciably during successive use of catalyst. The optimized glycerol’s yield of 37.03% was obtained at 54.5 min, 92.5 min. and 153.7 min during first, second and third successive use of catalyst, respectively.
Review Article
Exploring the Versatility of Starch Aerogels: A Critical Review and Future Trends Analysis
Karunakar Singh, Usman Ahmed, Mahir Kumar
Middle East Research Journal of Engineering and Technology; 112-117.
DOI: 10.36348/merjet.2021.v01i01.019
The aerogels are new groups of ultra-light materials that exhibit characteristics like high porosity, low density and excellent barrier properties. The development of aerogels had started in 1931, but commercial utilization was not possible until recent decades because of inefficient and riskier development methods. In recent decades, aerogels have mainly used for thermal insulation, but they have huge potentials to be used in various applications. Despite several source materials have been explored for the development of aerogels, silica based are the most used today. Starch is the most abundant, intensively utilized, low cost biopolymer and one of the source for production of aerogel. The development of starch based aerogels is ecofriendly, cheap, nontoxic and potentially can be used in various applications. Conclusively, the starch based aerogels have huge potential to be an advance material for various engineering applications.
Research Article
Optimizing Ni,W,Cu/Kieselguhr Catalyst Preparation for Glycerol Production via Sucrose Hydrogenolysis: A Response Surface Methodology Approach
Tanuja Srivastava, Karunakar Singh, Syed Insha Rafiq, Simranjeet Kaur
Middle East Research Journal of Engineering and Technology; 118-123.
DOI: 10.36348/merjet.2021.v01i01.020
The paper highlights the selective production of glycerol by means of Ni,W,Cu/kieselguhr catalyst in aqueous solution. The effects of different process variables including effect of ammonia/Kieselguhr ratio on the catalyst, digestion temperature after addition of ammonical slurry of ammonium tungstate and digestion time after addition of ammonical slurry of ammonium tungstate on the yield of glycerol were evaluated by using response surface methodology. The catalyst exhibited high activity and selectivity for hydrogenolysis of sucrose, glucose, fructose, and xylose. The maximum glycerol yield of 38.088% was obtained with ammonia/Kieselguhr ratio (2.5), digestion temperature after addition of ammonical slurry of ammonium tungstate (71) and digestion time after addition of ammonical slurry of ammonium tungstate (82).
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