Iaeme Ijaret Research Papers - Academia.edu (original) (raw)

MPC-SPR model - a Gaussian dispersion model is similar to ISCST3. Emission inventory was gathered from CARD, Neyveli. The Meteorological data were observed from the Meteorological observatory at Vadalur. The hourly meteorological file was prepared and fed into MPC-SPR Model. The dispersion pattern of SO2 was mapped by using MPC-SPR Model by considering all the emissions sources at NLC India Ltd..

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- Cardiac MR, SO2, ISCST3, Iaeme Ijaret

A 2-distance coloring and b-coloring are two independent types of vertex coloring of graphs. When 2-distance coloring demands that vertices at distance at most 2 must receive distinct colors, the b-coloring demands that in the vertex coloring, each color class must contain a vertex having a neighbor in every other color class. The first combination of these two types of coloring is 2-distance b-coloring. It is a 2-distance coloring in which every color class contains a vertex which has a neighbor in every other color class. In this coloring, for a vertex u, vertices at distance at most 2 from  are considered and given distinct colors. If the at most 2 condition on neighbors is given to the neighboring condition on b-coloring, a new coloring can be obtained. In this paper, the new coloring, a second combination of the two types of coloring is introduced. This coloring is called 2-distance strong b-coloring (2sb-coloring). It is a 2-distance coloring in which every color class contains a vertex u such that there is a vertex u in every other color class satisfying the condition that distance between u and v is less than or equal to 2. The 2-distance strong b-chromatic number χ 2sb (G)(2sb- number) is the maximum k such that G admits a 2sb-coloring with k colors. In this paper, the exact bound of the 2sb-number of paths and cycles are obtained.

Pile foundation is one form of a foundation that is commonly used to distribute the load of the building over a vast area to transfer the loading intensity within a secure bearing capacity ofsoil beneath the structure. The pile foundation consists of two major components: Pile cap and single pile or cluster of piles. The flexibility of the pile cap af ects individual pile head forces and the bending moments and shear forces in individual piles. A pure fixed-head condition is rarely doable within the field, even once a pile group is constrained by a stif concrete pile cap, because the cap itself rotates. In this study, the design and analysis of an irregular shape pile cap due to unsymmetrical action load surround the area of pile cap was investigated using manual calculation namely Beam Method and Truss Method. Pile cap was re-designed in accordance with Eurocode 2 using Prota Structure-Orion Software. The results show that the required area value of steel obtained in the software is substantially higher compared to the manual calculation. The optimum design was proposed by reducing the thickness of the pile cap.

In this paper an improved level set method strategy coordinated with modified fuzzy clustering is used for brain tumor segmentation. Exclusively, fuzzy logic lead to tedious interaction and level set method required manual intercession for computation of dynamic shape region. A novel level set algorithm is applied on cerebrum MR images for tumor detection. This process is more powerful when contrasted with other individual strategies. In this process we can decrease number of tasks per emphases and can improve the effectiveness. Execution assessment has been done on different MR images. The outcome affirms its adequacy for cerebrum tumor identification.

Quaternary continental formations identified at about twenty km southwest of Tiddas (Province of Khemisset, central Morocco) on the left bank of Bou Regreg River, consist of the Hançala, the Zwirga, the Bir Dallah and the Bir Oughioul Formations. The present work consists of a sedimentological study of this later Formation which is found to have been deposited in fluvio-lacustrine environments and of being of and age posterior to 0.62 Ma, e.g. Middle Pleistocene (Moroccan Amirian) based on basaltic tuf s fond at the base of this Formation. These tuf s were petrographically correlated with Quaternary basalt which was radiometrically dated in Central Morocco.
Both this age and the sedimentologically inferred depositional environments of this Formation are corroborated by the discovery of skeletal remains of the genus Hippopotamus in its deposits.
In fact, a comparative study of the discovered bones of thisspecimen with two known fossil species of Western Europe (Hippopotamus major and Hippopotamus incognitus) and with the current form Hippopotamus amphibious indicates that the Tiddas Hippopotamus is of an intermediate age between these fossil species and can thus be attributed at late Middle Pleistocene-early Upper Pleistocene age.
In fact, the comparative study of the discovered remains of Hippopotamus of Tiddas both with the present-day form (Hippopotamus amphibus) and with two European specimens (Hippopotamus incognitus and Hippopotamus major) places Hippopotamus of Tiddas in the interval of late Middle Pleistocene-Early upper Pleistocene.
During this period, the northern margin of Central Morocco was, most likely, characterized by a wetter climate than the current one, a distensile tectonics and an intense volcanism upstream of the Bou Regreg River. These conditions would have favored the installation of fluvio-lacustrine environments where aquatic forms, such as Hippopotamus, proliferated.

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- Hippopotamus, Paleo environment, Fluvio-Lacustrine, Iaeme Ijaret

This paper aims improving the comprehension of the idea of the business competence of the information technology professionals, or at investigating the commitment of this competence for development of partnerships among IT professionals what’s more, its business customers. Business competence centres on the subject matters which are not pacifically related to IT. At a wide level, it comprises association explicit information and the relational and knowledge of management possessed by the IT professionals. All classes is thus comprehensive of progressively explicit subject matters. Organizational unit, integration of IT business, organizational overview from specific knowledge of organization, while interpersonal communication, knowledge networking and leadership form the management and interpersonal knowledge. These competence is theorized for being instrumental in expanding its aims professionals to strength and develop relationship with its clients. The initial phase in the examination was to build up a scale to gauge business competence of the IT professionals. The outcomes bolster the proposed structure for the business competence and demonstrate that business competence fundamentally impacts its expectations IT professionals to create partnerships with its business clients

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- IT professionals, Skills and Knowledge, Business Clients, Business Competence

Understanding-based information systems are sophisticated instruments in the sales clerk hands, allowing him in complex situations to take evidence-based decisions. This paper ties together modern data processing, semantic networks and intelligence presentation techniques in the direction of an insightful tourist destination marketing information system. Knowledge engineering approaches for the analysis and simulation of consumer survey data on causes, correlations, clusters and secret trends that describe business trend or customer behaviour have been introduced in previous work. By using preparatory results from most important surveys on Thessaloniki travel, the viability of handling such observations in an understanding base as shareable, portable and computer comprehensible expertise was shown. We In this paper, the continuity of these innovations is presented in the current work, together with: (a) the final output of the Thessaloniki Tourism Survey, (b) a distilled understanding based filled with real and verified knowledge extracted from the complete survey data collection, (c) the expansion of approaches with an unnatural semantic network organiser and (d) the implementation of an reasoning algorithm and a demand framework for the application of information material to facilitate decision making. Pilot studies have shown that the smart device has been able to assist consumers who are not scientific professionals in addressing traditional communication challenges for destinations.

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- Marketing, Artificial Intelligence, Decision Making, Data Analysis

In industries, DC motors are used because of their simple design and consistent performance. Also, DC motors posses a broad range of speed control, so these motors are preferred to be used as variable speed drives. Another advantages of DC motor are their starting torque which is significantly high and better speed regulation. These features make a DC motor favorable for use in industries and hence it becomes very important to have a controller designed for DC motor which can ensure their better speed control. In this paper, a method for speed control of DC motor using three phase thyristor-based converter and Modulus-Hugging approach has been proposed. The control methodology has been realized through MATLAB/SIMULINK. The power converter designed is thyristor based. The speed of DC motor has been controlled by varying the voltage across the armature circuit. Simulation results have been obtained and presented in this paper to demonstrate the efficacy of the projected system. This system can also be implemented on hardware using different types of loads.

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- Cost modelling, DC motors, Speed Vector Controller Design, Iaeme Ijaret

Twitter is the popular and commonly used social networking platform because it permits users to express their thoughts, opinions about any item, and allows them to post comments or messages all around the world. Sentiment Analysis techniques are used to study and analyze these reviews or opinions. Sentiment analysis is a NLP technique that is used to express opinions into dif erent sentiments like positive, negative, and neutral. In this paper, we take Airline Dataset from Twitter and did sentiment analysis on that dataset using machine learning algorithms like SVM, Naïve Bayes and Random Forest. Sentiments are expressed in three categories positive, negative and neutral. Our dataset contains 11533 tweets and the dataset is not balanced. The performance of various machine learning algorithms is discussed in this paper

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- Sentiment Analysis, Twitter, Random Forest, Svm

High-rise buildings are an inevitable development trend of all cities with highdensity population. Ha Noi is a developing city with strong urbanization rate. High-rise buildings have appeared since the late 20th century and are increasingly being built at a rapid speed. The article is based on aggregated data on high-rise buildings to analyze the distribution of high-rise buildings in Hanoi, thereby assessing the trend and development orientation for high-rise buildings in Hanoi.

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- Land Use Planning, Urban Spatial Structure, Hanoi, High density development

The article analyzes innovative production technologies and the use of lining materials used for the production of insulated footwear. The study of the heat- conducting properties of natural, artificial and non-woven materials will make it possible to select heat-shielding materials in the design of insulated winter shoes in accordance with the requirements for the conditions for wearing shoes

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- Density, Nonwovens, Hair, Comfort

In the field of data science, integrating and analyzing data distributed across different data sources is necessary for decision-making and planning business strategies. Hence, the record linkage is important component in data integration and analytics for matching and linking records across various databases. Since databases contain personally identifying information and sensitive data about individuals, there is a need for protecting privacy for record linkage. Thus, the secure record linkage involves encoding of records from multiple data sources and then performs matching on them. The Bloom filter encoding techniques were found to provide better privacy while performing approximate matching on erroneous records. Still the Bloom filter based secure record linkage techniques can suffer from re-identification attacks and may lead to imbalance between linkage accuracy and privacy. This work includes the overview of secure record linkage and implementation of recent attack methods on EPPRL approach, Basic and Balanced Bloom filter. Moreover, we provide recommendations to limit the vulnerability and re-identification of encoded identifiers from Bloom filter based secure record linkage.

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- Data Integration, Record Linkage, Bloom Filter, Iaeme Ijaret

Now-a-days, the exploitation activities have moved into the deeper oil and gas formations in hostile High Pressure High Temperature (HPHT) environment that demands state-of-the-art and sophisticated drilling fluids basically for the pay zones. Due to their high temperature instability, the simple polymer based mud systems are not suitable for the HPHT wells. The major challenges in HPHT conditions include low penetration rate, excessive torque and drag, poor hole cleaning, dif erential pipe sticking and formation damage. These complications can be controlled by maintaining proper rheological properties as well as filtration loss properties in the mud systems. But, it is very dif icult to maintain these properties of conventional pay zone drilling fluids under HPHT conditions due to the presence of high molecular weight polymers in the mud. This work exhibits synthesize and evaluation of polymer nanocomposites as additives for a novel cost effective, efficient, environment friendly, and fit-for-the- purpose nanocomposite based Reservoir Drilling Fluid (RDF) system for the pay zones or reservoir sections of the HPHT wells.

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- Nanocomposite, Rheological Property, HPHT, Iaeme Ijaret

Rising pollution, and energy demand has alarmed the need for alternative source of green energy. One of such major energy sources is solar photovoltaic (PV) system. However, utilization of solar energy proficiently require prior knowledge of PV system performance. Therefore, proper PV cell modeling is important. Various studies has been performed to accurately model the solar PV behavior. This review paper aims to deliberate the information and important work on solar PV modeling in a coherent and systematic manner. Firstly, this paper discusses the various PV cell circuit models. Finally, the various explicit parameter estimation methods and their advantages disadvantages are highlighted.

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- Analytical Methods, Pv Cells, Modal Parameter Estimation, Explicit method

Water is the most essential resource for life and ensuring its quality is of utmost importance. Testing, assessing, analyzing and monitoring the status and standards of our water resources is vital and necessary. Lunglei is the largest town in the state of Mizoram in North East India. This hilly town is the capital of Lunglei district administration and it is the centre for political, educational and commercial activities for the district. As the world is facing grave threats from climate change and pollution, and keeping the ever growing population in mind, the need for quality potable water for daily needs are increasing and consumption of clean and healthy potable water is vital. The insufficient research on the nature and status of water resources in Mizoram and Lunglei district in particular has resulted in the lack of proper utilization of water resources and their quality. The present study deals with the present day status of potable water qualities consumed from three different localities in the south central parts of Lunglei town using different physico-chemical parameters.

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- Potable Water Supply, Mizoram, Physico-chemical Parameters, Lunglei

This paper details the application of a decision tree algorithm for classification of soil types. The productivity of agriculture depends on environmental conditions and soil types. Soil dataset of particular area is downloaded from the Kaggle website for the purpose of finding the classification of soil types and based on the types of soil predicted the agriculturist will sow the seed. In this paper Soil types are classified by applying Bayesian approach to Decision Tree algorithm with Bayesian model is used for finding the classification of soil types. The idea behind is rather simple but powerful. The proposed algorithm of ers some unique features not to be found in any other tree inducers while at the same time it can produce better results for many dif icult problems. Experimental results are presented which illustrate the performance of generating best decision tree for classifying soil type from the given soil dataset. The Algorithm of Bayesian approach to Decision Tree helps to classify the soil types more accurately than the existing Algorithms KNN, SVM and Decision Tree selected for this research paper.

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- Machine Learning, Decision Tree, Bayesian model, Soil Dataset

The Aluminium Metal Matrix Composites (AMMC's) provides high strength and stif ness to the metals, so it is utilised in the applications like robots, high speed rotating shafts, high speed machinery etc. The AMMCsrequires a fabrication process to improve its mechanical properties. Some of the previous researches has been involved in applying the reinforced AMMC’s in Electrical Discharge Machining (EDM) to analysis its characteristics. In this research study, the hybrid AMMC’s is used in the EDM process to analysis the optimum input conditions. The combination of Al7075, Boron Carbide (3%), and Zirconium dioxide (15%) are utilized for analysing the EDM process. The Stir Casting method is used for fabrication of hybrid AMMC’s. In addition, Orthogonal array is used to analyse the parameters; Tool Wear Rate (TWR), Surface Roughness (SR) and Maximum Material Removal (MRR) rate on the basis of voltage (V), current (I), pulse-on time () and pulse-of time (). By varying the input parametric values like ,,  and , the output performance measures; TWR, SR and MRR are analysed in the experimental section. The experimental analysis shows that the optimal value of the input parameter is V is 60, I is 8.242, TON is 5.01 and TOFF is 6 and has the output parameter of MRR is 0.4613, TWR is 0.0139 and SR is 2.46. The experimental investigation shows that current is most influence parameters af ects the MRR, TWR and SR

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- Metal matrix composite, Optimization, EDM, Desirability bias

The objective of the work was to investigate bi-axial characteristics of composite materials with cruciform geometry in both experimental and numerical techniques. The glass reinforced fibers with epoxy composites prepared by hand lay-up technique with various stacking sequences such as 0 0 /90 0 , 45 0 /45 0 , 15 0 /75 0 and 30 0 /60 0 . The fabricated composites were machined in cruciform shape, having dif erent notches namely circular, square and rhomboidal according to ASTM – D6856 standard by abrasive water jet machining to ensure dimensional accuracy of ± 0.1mm. The prepared cruciform specimens were tested using a biaxial fixture developed indigenously by taking the specifications of universal testing machine. The Young’s modulus, proof stress, ultimate tensile strength and fracture toughness were evaluated for 16 specimens of dif erent fibre orientations and notches using software. The response from the biaxial tensile testshowed highest stress developing in [0 0 /90 0] GFRP composites of 61.37 MPa with highest ultimate tensile strength of 71.93 MPa experimentally. Numerical simulation with ANSYS was showing maximum stresses developing in [0 0 /90 0] GFRP composites 65.37 MPa.

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- Numerical Analysis, Young's modulus, Gfrp, Iaeme Ijaret

The Cancer is a key disease that has become the greatest risk to public health cause to its complicated early recognition. According to a study by the WHO in 2019 and so far, there are four million new cases of cancer and 28.69 million cancer deaths worldwide. The world's most dangerous cancer is covid-19 implanted the lung cancer. The Lung cancer remainder the foremost source of cancer-related deaths in mutually men and women, and its frequency is growing worldwide. Lung cancer is the unrestrained augmentation of irregular cells that start in one or both lungs. Early recognition of Covid-19 is not an easier development to analyze lung cancer patents and confront the public with much pain. In this sense, contribute to the categorization of algorithms such as Naive Bayes, J48, Random Forest and AdaBoost to classify the detection of early lung cancer. This leads to better embattled and adapted healthcare solutions on behalf of cancer patients. The victorious accomplishment of the human genome project has led public to understand that inherited, environmental, and being factors must be collective to study cancer because of its complication. The main objective of this document is to make available a prior advice to users and an analysis of the piece of taxonomy algorithms.

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- Datamining, HDFS, Namenode, Datanode

The efficiency of Zinc Oxide nanoparticles on removal of E124 dye in aqueous solution has been studied. Different factors and parameters that affect the degradation efficiency of E124 dye were studied including the initial concentration of pollutant, pH of solution, treatment time, concentration of ZnO nanoparticle (ZnO NP), temperature and salt addition. Under the achieved optimal conditions (initial concentration of dye solution 5ppm, treatment time 80 min, concentration of ZnO NP 0.08g, pH 7 and temperature of 40 0C) for best removal of E124 dye from aqueous solution the efficiency of ZnO NP doped with Ag+ was tested. Different amounts of Ag+ % doped on ZnO NP from 0.5 to 2% were tested and the highest dye removal % of 92 was achieved at 1 % Ag+ doping of ZnO NP.

Nigeria is ranked one of the main producers of crude oil in Africa and due to this, oil exploration activities have occasioned high rate of gas flaring which was intensified by poor enforcement of anti-gas flaring laws by the regulatory authorities. Associated natural gas is generated from oil production and it is flared in large volumes, thereby leading to the emission of greenhouse gases and a waste of natural resources which could have potentially spawned billions of dollars for the Federal government. Nigerians are apprehensive that if nothing is done to combat this menace, the environment and man will be at risk due its damaging consequences. There is therefore the need to stop gas flaring by replicating the approaches used in the relatively advanced petroleum countries like Norway to tackle the menace. The research is an appraisal of legal frameworks regulating gas flaring in Nigeria’s Upstream Petroleum Sector. It is a doctrinal legal research that adopts a library-based research approach. Weak enforcement and ambiguity of some anti-gas flaring laws are largely identified as the key factors responsible for the menace. It recommends the use of more advanced technologies, sophisticated mixture of regulations and none-regulatory incentives such as fiscal policies, gas market restructuring and prof er practical suggestions. JEL Classifications: K2, K42, Q4, Q5, P28, K32, K12.

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- Nigeria, Laws, Gas Flaring, Depletion

MWCNT (Multiwalled carbon nanotubes) doped CuO (Copper oxide) nano flakeslike structure was prepared by complex precipitation method. XRD(X-ray dif raction) pattern showed the presence of phases assigned to CuO and dif erent phases of MWCNT, SEM (Scanning electron microscopy) images revealed the morphology of the prepared sample. FTIR(Fourier-transform infrared) spectroscopy techniques were depicted the minority groups present in the MWCNT doped CuO nanostructure. Optical transitions were obtained by PL(Photo Luminescence). Quantum confinement effects along with decrease bandgap for direct and indirect optical transitions of MWCNT doped CuO nanostructures in sansevieria trifasciata dye solution were reflected through UV-Visible spectroscopy

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- Natural Dye, Luminescence, XRD, MWCNT

The effect of the nature and concentration of coagulants on the effectiveness of reducing the colour intensity with varying the concentration of sorbent from 1 to 3 g/l and coagulants Al2(SO4)3 and FeCl3, respectively 0.5; 0.75 mg/l. It has been shown that from the mentioned reagents the optimal option is the use of aluminium sulfate and iron chloride as a coagulant, as a flocculant - anionic polyacrylamide in concentrations of 0.5 mg/l, 0.75 mg/l and 0.5 mg/l respectively. It is determined that application of coagulants and flocculant for treatment of wastewater of silkworm production makes it possible to achieve required parameters of quality of treatment, at that efficiency of treatment on suspended substances makes 94.0-97.0%, on COD 87.0-91.0%, on dyes 91.0-94.0%.

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- Concentration, Process, Wastewater, Intensity

Aluminium Metal matrix Composites (AMC) is being extensively used in various field of life, especially in aerospace and automotive industries, because of its good thermal stability and excellent specific strength. AMCs are well known for high strength to weight ratio and high temperature applications. Currently the main research activities are carried out using Al 6061 brake rotor for four wheelers. Only few research works are reported in the case of two wheeler brake rotors. But still Al 6061 brake rotor are not used in motorcycles perhaps due to heat treatment distortion of thin disc. As reported by Sadagopan et al [1] only brake pads wear out faster but their research study was not carried out extensively on brake pad wear. In the present study, wear behaviour of SiC particles reinforced with Aluminium Matrix composites have been investigated. Al 6061 discs were made with 10%, 15% and 20%SiC particles by stir casting and machined to fit as a disc in pin on disc tribometer. Using Taguchi Design of Experiments, the experiments were carried out with 4 factorials and 3 levels based on L9 orthogonal array and the results are discussed.

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- Al6061, Stir Casting, Silicon Carbide (SiC), Iaeme Ijaret

LU/LC is an essential factor in understanding the association of the human intervention with the environment is essential to simulate changes. A rapid growth of population in India is a cause of concern among the planners for effective Urban & Water Management Planning. In recent years, the use of spatial data technologies, especially Remote Sensing and Geographic Information System (GIS) has been extensively used in combination with Software's like ERDAS Imagine, ArcGIS, and ArcGlS Model. Aim of the study is to perceive LULC change for years 1990, 2000, 2009 and 2018 using satellite images of resolution 30m. The four satellite images of year 1990, 2000, 2009 and 2018 were acquired of Path & Row as 146/39 from the USGS site with an aim to produce a LULC map of Dehradun valley in order to detect the changes. The analysis of result shows the rise in built-up area from 19.70 % to 26.72 % an increase in agriculture area from 9.53 % to 12.23 % an increase in barren land from 18.20 % to 25.38 % a reduced in green cover (vegetation) from 47.02 % to 40.94% and a decrease in water bodies from 5.52 % to 4.7 %. Surface runoff increased from 187.23 mm/year in 1990 to 5l0.78 mm/year in 20l8. The average discharge from the basin area of the study for particular year has increased at large extend i.e. from 0.350 cumecs in 1990 to 2.368 cumecs in 2018

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- Simulation, Early Urbanization, Model, Land Use

This article deals with the development of a new composition of a polymer composition for dressing cotton yarn. The optimal concentration of the dressing polymer composition, which is 50 g/kg, against the starch-based dressing is 70 g/kg, i.e. the consumption of starch is reduced by 25-30%. It is experimentally established that the concentration of the dressing, which has a significant impact on the cost of the dressing, varies within 45-50 g/kg of the composition, while the true glue remained at the same level.
Theoretically, the interaction between the polymer groups and the reactive groups PVA and HIPAN is justified. The products resulting from this interaction contain, in particular, amide -CONH, carbamide - NHCONH, carbamate - ОСОNH2, ester - ОСО and other groups. Their presence in the macromolecules of the polymer composition makes it possible to improve the elastic, structural and mechanical properties, and to reduce the electronegativity of the adhesive film formed on the yarn during sizing.
The optimal technological parameters of preparation of dressings based on the polymer dressing material for composition. At the same time, it was found that the use of these preparations makes it possible to give the coated cotton yarn good quality and technological properties, to produce fabric on high-performance weaving equipment with a reduction in breakage by 35-40%, and an increase in productivity by 5.0-10.0%.
It is revealed that in the case of dressing cotton yarn with the developed dressing compositions, a significant reduction in starch is achieved, which indicates the feasibility of using the developed composition in economic and environmental terms

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- Starch, Adsorption, Composition, Polymer

IoT technology commercialisation in a Smart City involves the use of multiple interconnected devices by citizens that will accumulate volumes and complex information. The information must be managed systematically in integrated information systems (IS), to provide efficient personalised services to citizens. Managing IS security risks becomes a priority to organisations. IoT heightens the concerns toward IS security management in terms of safeguarding the integrity, confidentiality, and availability of citizens’ information. Recognising the value of protecting information, organisations in a Smart City require solutions to manage the IS security. The existing approach is ineffective as it does not specifically factor in IoT implementation security risks to manage IS security successfully. Thus, this paper intended to identify a set of critical success factors (CSF) for managing IS security in an IoT-enabled Smart City. For this purpose, IS security and IoT security management aspects were combined to identify key factors for managing IS security for an IoT-enabled SC. This study applied the qualitative approach, where document analysis on existing studies, reports, and official documents was carried out. The seven critical factors were identified for IS security management for IoT, including policy and guideline standardization, organisational management, citizen engagement, system integration, IoT readiness, risk management, and technology adoption. Understanding these CSF will enable stakeholders to plan city development strategies, particularly in safeguarding information.

This research has an objective to study the application of the plant layout system for improvement efficiency of bottle selection process in storage area. The 2 alternative layouts of bottle selection plant were evaluated by 4 criteria (1) Utilization of storage area 2) Utilization of operation area 3) Transport distance and 4) Percent of efficiency) and analytical hierarchy process (AHP). The result showed that first plant was suitable for the previous factory. The result shown Utilization of storage area was 46.34% more than the current layout that was 31.71% or increase 14.63%. Utilization of operation area decrease from 68.29% to 53.66% or decrease 14.63%. Next, Transport distance for trucks was 1,138 meters due to distance has reduced form current layout as 2,618 meters or reduce 56.53% and transport distance for forklifts has reduced from current layout as 3,970 to 2,214 meters or reduce 44.23%.

In Today’s time online shopping is very popular among the people because it provides quality of products at good prices. Many people prefer to buy product directly through online of instead of offline shops. But buying cloths from online always have a problem such as problem is the cloth size which doesn’t fit after buying the product, therefore the returning of the product will at least take 1 – 2 weeks.
To address this problem, we have come up with an idea to develop a camera application which will work directly through default camera of the smart phone. Our application will work when people select the size of the cloth in the shopping app, then when they click on camera icon it will open the camera and shows a 3d image of the product through the use of augmented reality and then you know whether the cloths fits you or not. And they will have a final conclusion whetherthe cloth fits or not, Or whether to go for buying the cloth or no

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- Augmented Reality, Virtual Reality, E-Shopping, Iaeme Ijaret

Motorcycle accidents have been hastily growing throughout the years in several countries because road safety is often neglected by riders worldwide leading to accidents and deaths. To address this issue, most countries have laws which mandate the use of helmets for two-wheeler riders so, it is very important for motorcyclists to understand the risks of riding without a helmet. Riders who do not wear helmets are at greatest risk of suffering a traumatic brain injury; if they met with an accident without protection, the head is susceptible to a harrowing impact in an accident. In India, there is a rule that mandate helmet only for riders but not even for passengers. Anyone may suffer from accident or head injuries whom are using motorcycle without helmet. It should be mandatory for everyone to wear helmet; even for children. So, to mandate this we have developed a system which is based on Tensor flow & Keras in the field of Computer Vision. System is able to detect whether motorcyclists wear helmet or not even at real time. If anyone of them is present with no helmet then system will precisely observed the situation and declare the rule violations. The system can be implemented in malls, offices, marts, school and college that only allows people to enter the premises only after detecting helmet with automated barrier. It will definitely affect the use of helmet that will save humans life at all.

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- Road safety, OpenCV, Keras, Rule Violation

A SerDes is a transceiver with an integrated circuit (IC or chip) that converts parallel data into serial data and vice versa. SerDes has generally been used in the high-speed serial interface for the past few years and is widely used as an ASIC type and explicitly standard part of the application. Use both frequency adjustment and jitter as components. However, the actual incentive for a particular ser/des must be estimated experimentally. Intermediate frequency behavior Interactions in the IF range are generally complex. With technology slowdowns and processing speeds increasing, electrical connections are seen as a bottleneck for high-speed signal transmission between chips. The wide range of SerDes drive covers large distances at multi-gigabit speeds with a simple FPGA interface. A ser/des is a pair of functional squares commonly used in high-speed communications. The paper surveys with the SERDES technology for networking capacity regions. A data switch concept is presented to illustrate the intended useful backplane and switch SERDES ICs

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- FPGA, Asic, Signal, High Speed Data Transmission

Polycystic Ovary Syndrome (PCOS) is a female hormone disorder which sorely af ects women health by developing symptoms like irregular menses, infertility, obesity, hyperandrogenism, alopecia, may lead to another severe health risk like metabolic syndrome, type 2 diabetes mellitus, Cardio Vascular Diseases etc. It af ects 5-10% of women in their puberty. The objective of the study is to predict the occurrence of PCOS before getting worse. Data mining holds excellent prospective to ameliorate health care; several studies have already undergone to foreshadow the danger of PCOS in women. The proposed system is a novel hybrid structure to determine the chances of PCOS that coalesce navies Bayes and artificial neural network algorithm to produce the best result.

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- Machine Learning, Pcos, Hybrid Structure, Artificial Neural Network

Running can be an enjoyable activity that can promote healthier lifestyles and positive social interaction. Running can be done individually or with running partners. However, finding compatible running partners to run together on the same day, time, venue, pace, and distance are not always easy. Currently, there are apps that support virtual group runs, however, the numbers and their functions are limited. As part of a study to investigate the impact of running together in a social setting across the virtual platform, a virtual running system that allows users to run together in a group at dif erent time and dif erent location is proposed. This paper reports the users’ requirements in order to design and develop a virtual running system. The overview architecture of the proposed system comprised of a virtual running data server, virtual running applications and android smartphone is also presented in this paper. This study found that the majority (63.51%) of the respondents felt that virtual running was interesting, promotes social interaction, and motivates them to stay active.

Elium, the first welding. The composite parts made from Elium resin can be developed and recycled by thermoplastic resin is designed for the manufacturing composite material parts with certain mechanical properties similar to that of thermosetting. The uniqueness of Elium is it behaves as a thermoplastic which is designed for thermoforming, recycling and depolymerization. The principle involved is coarsely crushing Elium resin and then heat depolarized as it can be recovered and purified into a resin with the similar properties as that of the virgin resin. Elium resin is a tremendous asset, especially in the manufacturing of wind turbines where non- recyclable epoxy resin is used in the manufacturing of blades

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- Thermoforming, Epoxy Resin, Thermoplastic Resin, Iaeme Ijaret

Biodiesel is nothing but alkyl ester derived from vegetable oil, animal fats and algae. The vegetable oils derived from seed crops are already widely used for cooking, to make biodiesel fuel, as a solvent for inks and paints. The vegetable oil mainly consists of free fatty acids such as statured, mono unstatured and poly unstatured. Chemists could do much more with vegetable oils if they could af ordably separate on an industrial scale the various long chain fatty acids that make up the oils. In this paper introduction of various methods of separating free fatty acids is given and work done by various researchers in this field is discussed

The present work is performed for the manufacturing of bricks or building block from sand, saw dust and waste plastic. The bricks or building blocks are manufactured by mixing m- sand, saw dust and waste plastic by heating at 200 oc. It is an innovation technique in manufacturing the brick. In this study, waste plastic has been used for the preparation of plastic bricks. In this manufacture of plastic bricks sand is used as a replacement of saw dust by 5%, 10%, 15%, 20%, and 25% respectively. 5 mix ratio is used for finding ultimate strength. All the five types of bricks were manufactured with the 1:4 Ratio of bricks. The compressive strength should be find out by using Compressive Testing Machine. The water absorption of plastic bricks decreased with increase in the percentage replacement of sand by saw dust of the plastic bricks. These Bricks are light weight and economically low.

- by IAEME Publication
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- Concrete, Minerals, Construction Material, Silica Fume

Phoenix Dactylifera L. (Date palm) is a dioecious crop where male and female inflorescences are on separate palms. To ensure good fertilization and overcome shortcomings of dichogamy, sustain yield levels and enhance fruit set, each female inflorescence has to be artificially pollinated. The manual method of pollinating date palms has gained popularity and confidence of farmers over thousands of years. Although different mechanical pollination techniques have been tried in some parts of the globe, improved and sustainable date fruit production is still a major challenge for plant breeders. This paper highlights the recent progress in the area of date palm pollination, associated tools and technologies used to improve yield and fruit quality. The study reviews different pollination methods and its feasibility analysis in Phoenix Dactylifera L. namely, the natural means; traditionally adopted manual method; nonconventional methods, such as, liquid suspension spray techniques and powder/dust pollination approaches; adopted on different cultivars; in different geographic locations where date palms are widely grown. A comparative study based on parameters such as yield, fruit set, fruit quality, popularity of the technique among farmers etc. is also made. This study intends to add value to the adoption of best practices for cultivation of the palms, thereby helping minimize diminished quality and increase marketable quantity of dates.

- by IAEME Publication
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- phoenix dactylifera L, Date Palms, Iaeme Ijaret, Dust Pollination

The Sub-Urban Services are the Backbone of Transportation System in Metro Cities of India. The riders expect comfortable journey from their Home to Workplace and vice versa. The Sub-Urban services are made up of Electrical Multiple Units which are driven by Squirrel Cage Induction Motors of lower Wattage. The Squirrel Cage Induction Motors work on low Power Factor, are noisy, prone to Vibrations and more bulky as compared to a Permanent Magnet Synchronous Motor of the same Power ratings. Also Gate Turn-of Thyristors are currently used for the Converter System which is less efficient as compared to an Insulated Gate Bi-Polar Transistor Drive. The Drive System with Insulated Gate Bi-Polar Transistor as switches for Rectifier-Inverter System driving Permanent Magnet Synchronous Motors as Traction Motors is proposed and simulated in this Paper

- by IAEME Publication
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- Efficiency, Power Factor, Permanent Magnet Synchronous Motor, Traction Motors

Transmission of electrical power through High Voltage Direct Current (HVDC) has attracted the attention of several researchers in recent years. For satisfactory power transfer through an HVDC link, the interaction between ac systems and the HVDC link should be analyzed. To study such interactions, a well-developed simulation model of line commutated converter (LCC) based monopolar HVDC transmission system is presented in this article. In which the DC transmission link is connected between two strong AC systems with adequate controllers based on proportional-integral (PI) controller. The HVDC transmission system model is implemented in the MatlabSimulink working platform. The performance has been investigated during steady-state.

- by IAEME Publication
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- Matlab/Simulink, LCC, 3D Detailed Modeling, PI Controller

Significant improvements are being reported these days in the coding of speech signals “with high quality at low bit rates. The need for low-bitrate speech coding algorithms continues, supported by the ever-increasing number of users” in wireless communication networks. Linear Prediction coders form important class speech coders with low bitrates. This paper describes the software level simulation and performance evaluation of CELP (4.8Kbps), LD-CELP (16 Kbps), MELP (2.4 Kbps), and CS-ACELP (8Kbps, 6.4 Kbps) speech coders. Even though all e coder outputs match with the input signal, the results from the error resilience test and MOS score show that the output quality of CS-ACELP is much better than the other three coders. The CS-ACELP coder performed well both in a quiet environment and in a noisy environment at a bitrate of 6.4Kbps.

- by IAEME Publication
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- Speech Coding, Codebook, Melpum, CELP

Alzheimer's infection is a degenerative mind sickness and the most well-known reason for dementia. Dementia is a disorder—a gathering of side effects—that has various causes. The trademark side effects of dementia are difficulties with memory, language, critical thinking and other subjective aptitudes that influence an individual's capacity to perform ordinary exercises. Exact Alzheimer's sickness revelation toward beginning periods of ailment requires an evaluation of some quantitative biomarkers. Alzheimer's affliction is consistently confused with customary developing and dementia. Genuine memory incident, typical for Alzheimer's ailment, isn't a sign of standard developing. Deaths from Alzheimer's disease sickness as the hidden reason have expanded drastically since 1991.

Artificial Intelligence (AI) has undergone numerous changes recently. It also brought several changes in speech processing domain. The precision of speech recognition frameworks are improved by the applications and algorithms based on Neural Networks. This article displays an analysis of Recurrent Neural Networks and their execution additionally the utilization of RNN through well known Speech to Text change engines.

Transit stations around the world have contributed to the development of the space surrounding it. The extent of influence of transit station itself is a much debated topic all over the world. Since, the distance of influence zone varies from one place to another, and even on the stations within the same network. The kind and intensity of developments happening around the station not only depends on the quality of service of ered by the transit station, but on lot of other factors in the influence zone like the availability of vacant developable land, positive economic conditions of the space, intermodal connectivity that station of ers, population density and land use mix of the locality, etc. Even though transit station impact studies have been undertaken all over the world, this literature review is an attempt to analyze the impact of the transit station on land use and density in comparison with Developed countries in Europe and America with the Developing Countries in Asia which have not been comprehensively studied earlier.

- by IAEME Publication
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- Literature Review, Impact Study, Developmental Impact, Transit station

The present paper reports on the influence of hot forging and heat treatment on characteristics of Al6061-nano Al2O3 composites with dif erent wt. % of nano Al2O3. Ultrasonic assisted stir casting method has been used for the fabrication of Al6061/ Al2O3 nanocomposites. The variations in properties were studied with addition of nano sized reinforcement and heat treatment followed by forging of the nanocomposites. The ultrasonic-assisted stir casting set up and forging press were used to facilitate the fabrication and secondary forming of required Al- Al2O3 nano composite samples. The as-cast, heat treated and forged & heat treated (HT)samples of dif erent percentage composition were prepared and then dif erent mechanical properties like density, Hardness, compressive strength etc. were tested to check the behavior of the composites and SEM was done for the microstructural characterization of the Al-nano composite samples

- by IAEME Publication
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- Heat Treatment, Mechanical properties, Hot forging, Iaeme Ijaret

Recently applicant information services and interview-assistance services based on big data and AI technology are distributed rapidly worldwide to introduce an interview system that secures efficiency and fairness in the job interview market. Accordingly, this study presents an AI-based interview system developed based on deep-learning technology in which more than 100,000 evaluation data sets were derived from 400,000 interview image data sets. The resulting AI interview system has been applied to enterprises with a reliability of 0.88 Pearson score. Particularly, applying this system to 5 major public enterprises in Korea is presented in this paper. It turned out that the level of satisfaction with fairness and efficiency was as high as 85% in such aspects as evaluation processes, job fitness, and organization fitness. As the applicable range of AI-based solutions is expanding to the general area of personnel management with its time and cost efficiency, as well as reliability and fairness recognized, the deep learning-based job interview solution proposed by the present study needs to be applied widely to written examinations and personality and aptitude tests.

- by IAEME Publication
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- Big Data, Iaeme Ijaret, AI-based interview, AI interview system

Digital signal processing applications often use major mathematical operations such as multiplication, which consume more power and time. Operations like Fast Fourier Transform, Convolution and correlation depends heavily on a large number of multiplications. There are many techniques available to perform multiplications. One such technique is logarithmic multiplication. logarithmic multiplication is achieved by adding the binary logarithms of two numbers and deriving the antilog of the result. In this paper, an efficient algorithm for logarithmic multiplication is presented with the use of adders, decoders, multiplexers and a few combinational circuits that effectively reduce the power and area of the multiplier

- by IAEME Publication
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- Digital Signal Processing, Multiplexer, Verilog HDL, Iaeme Ijaret

Intermediate Public Transport (IPT) acts as a feeder to mass transit system in large cities and as a primary mode of public transport in small and medium cities. In urban area IPT helps in improving the mobility, but uncontrolled growth of IPT results in reduced air quality and safety due to increased traf ic congestion. An effective management of IPT helps in sustainable urban transport. For effective management, the performance should be evaluated by considering the system perception, city perception, passenger perception and their level ofsatisfaction. In thisstudy, an attempt has been made to measure the performance of IPT in Guwahati, India, based on seven Key Performance Indicators (KPI) using Benchmarking. Performance of these KPIs is reported through a Level of Service (LOS) scale ranging from LOS 1 to LOS 4 depicting best to worst service quality. It has been found that IPT of Guwahati have better travel speed and comfort with LOS 1. The performance areas that need to be improved are average waiting time, extent of supply and GPS for IPT which attain service levels of LOS 3, LOS 4, and LOS 4. The service levels of vehicle occupancy and safety are found to be satisfactory with service level of LOS 2.

- by IAEME Publication
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- Benchmarking, Performance indicators, Passenger Satisfaction, Iaeme Ijaret

Feature recognition is one of the most prominent areas of Machine Learning (ML) since ages together human are fascinated with the world of colors, features, virtues, and such artifacts for gaining inside into the knowledge sharing. The intuitiveness of the human mind is quite capable of recognizing and pursing miniature details about the surroundings and the environment where they live in. In so far, even the animals and other living beings also have the power to recognize and assimilate the information─ however, they lack in understanding, interpolation and other feature extraction details.
The traditional AI has been used for various applications starting from feature detection, extraction and applying convolution techniques for feature engineering. In achieving so Principal Component Analysis (PCA) gives a mathematical model to get inside with reduction feature extraction and computational ef iciency. This image processing area has being fascination for humans to see nice features and increase their happiness quotient.
On the other side, the people are playing the game to reshape the feature and get a noticed like criminals, terrorists, fraudulent and other such irrelevant human behavior. However some of the features never changes through the life span of like retina, lines or regions on the hand, thumb impression etc., This salient features are going to be retain throughout the life journey and everlasting.
In this article an attempt is being made to use ML algorithms for such areas and with pertinent mathematical background; thereby we can understand certain artifacts of features and use them for a good cause.

- by IAEME Publication
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- Feature Detection, Pca, EXTRACTION, Eigenvectors

- by IAEME Publication
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- Road safety, OpenCV, Keras, Rule Violation

Trash is an inevitable by-product in human life. However, emptying a trash bin takes labor and time to identify and vacate at home and on the streets. To address the issue, this paper proposes a waste level detection system that can automatically measure the amount trash of a bin at a low cost. The proposed system employs the state-of-the-art Internet of Things (IoT) technology; it consists of an inexpensive mini vibration motor, acceleration and weight sensors, and IoT platform. The motor generates vibrations periodically that are captured by the accelerometer. Data with weight information is analyzed to detect fill-level of a trash bin. To this end, we employ a k-nearest neighbor algorithm. This paper develops a prototype and runs extensive experiments to evaluate accuracy performance of the proposed system. Results show that the system can measure waste level with accuracy of 75.39% on average and 94.7% on maximum.

- by IAEME Publication
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- Internet of Things, Distributed System, Vibration, Sensors