33 research outputs found

    The analysis of performance before and after ERP implementation: a case of a manufacturing company

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    [EN] Machines and technology have been known for saving the efforts and so the time of the human race. Thus in the gravity of consideration to this point, companies are required to innovate their process and practices to improve productivity. The present research was conducted at ABC manufacturing company having three departments i.e. A, B, and C. The significant impact after ERP implementation in terms of time-saving has been reflected in the present research. The nature of working and nature of manufacturing is different in all the departments; that`s why each department has its business development team. The case company has implemented an industrial and financial system (IFS) in 2020 and the whole process is properly followed in IFS. In this study, the process flow of documents and time consumption on each step of obtaining approvals from various authorities is covered, and saved time after the implementation of IFS is also revealed in detail. Results indicated that, after the implementation of IFS, the company has saved 48272.5 hours in 2021 by carryingout the whole process on IFS instead of a manual approach. None of the research highlights the magnitude and percentage of saved time after the implementation of an IFS in the manufacturing industry; The present research can be the basis of motivation for any manufacturing to implement IFS.Kalwar, MA.; Khan, MA.; Phul, Z.; Wadho, MH.; Shahzad, MF.; Marri, HB. (2022). The analysis of performance before and after ERP implementation: a case of a manufacturing company. Journal of Applied Research in Technology & Engineering. 3(2):115-121. https://doi.org/10.4995/jarte.2022.17789OJS1151213

    Designing a wind energy harvester for connected vehicles in green cities

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    Electric vehicles (EVs) have recently gained momentum as an integral part of the Internet of Vehicles (IoV) when authorities started expanding their low emission zones (LEZs) in an effort to build green cities with low carbon footprints. Energy is one of the key requirements of EVs, not only to support the smooth and sustainable operation of EVs, but also to ensure connectivity between the vehicle and the infrastructure in the critical times such as disaster recovery operation. In this context, renewable energy sources (such as wind energy) have an important role to play in the automobile sector towards designing energy-harvesting electric vehicles (EH-EV) to mitigate energy reliance on the national grid. In this article, a novel approach is presented to harness energy from a small-scale wind turbine due to vehicle mobility to support the communication primitives in electric vehicles which enable plenty of IoV use cases. The harvested power is then processed through a regulation circuitry to consequently achieve the desired power supply for the end load (i.e., battery or super capacitor). The suitable orientation for optimum conversion efficiency is proposed through ANSYS-based aerodynamics analysis. The voltage-induced by the DC generator is 35 V under the no-load condition while it is 25 V at a rated current of 6.9 A at full-load, yielding a supply of 100 W (on constant voltage) at a speed of 90 mph for nominal battery charging

    High-pressure processing of fish and shellfish products: Safety, quality, and research prospects

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    Seafood products have been one of the main drivers behind the popularity of high-pressure processing (HPP) in the food industry owing to a high demand for fresh ready-to-eat seafood products and food safety. This review provides an overview of the advanced knowledge available on the use of HPP for production of wholesome and highly nutritive clean label fish and shellfish products. Out of 653 explored items, 65 articles published during 2016-2021 were used. Analysis of the literature showed that most of the earlier work evaluated the HPP effect on physicochemical and sensorial properties, and limited information is available on nutritional aspects. HPP has several applications in the seafood industry. Application of HPP (400-600 MPa) eliminates common seafood pathogens, such as Vibrio and Listeria spp., and slows the growth of spoilage microorganisms. Use of cold water as a pressure medium induces minimal changes in sensory and nutritional properties and helps in the development of clean label seafood products. This technology (200-350 MPa) is also useful to shuck oysters, lobsters, crabs, mussels, clams, and scallops to increase recovery of the edible meat. High-pressure helps to preserve organoleptic and functional properties for an extended time during refrigerated storage. Overall, HPP helps seafood manufacturers to maintain a balance between safety, quality, processing efficiency, and regulatory compliance. Further research is required to understand the mechanisms of pressure-induced modifications and clean label strategies to minimize these modifications

    Development and Comparative Analysis of Electrochemically Etched Tungsten Tips for Quartz Tuning Fork Sensor

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    Quartz Tuning Fork (QTF) based sensors are used for Scanning Probe Microscopes (SPM), in particular for near-field scanning optical microscopy. Highly sharp Tungsten (W) tips with larger cone angles and less tip diameter are critical for SPM instead of platinum and iridium (Pt/Ir) tips due to their high-quality factor, conductivity, mechanical stability, durability and production at low cost. Tungsten is chosen for its ease of electrochemical etching, yielding high-aspect ratio, sharp tips with tens of nanometer end diameters, while using simple etching circuits and basic electrolyte chemistry. Moreover, the resolution of the SPM images is observed to be associated with the cone angle of the SPM tip, therefore Atomic-Resolution Imaging is obtained with greater cone angles. Here, the goal is to chemically etch W to the smallest possible tip apex diameters. Tips with greater cone angles are produced by the custom etching procedures, which have proved superior in producing high quality tips. Though various methods are developed for the electrochemical etching of W wire, with a range of applications from scanning tunneling microscopy (SPM) to electron sources of scanning electron microscopes, but the basic chemical etching methods need to be optimized for reproducibility, controlling cone angle and tip sharpness that causes problems for the end users. In this research work, comprehensive experiments are carried out for the production of tips from 0.4 mm tungsten wire by three different electrochemical etching techniques, that is, Alternating Current (AC) etching, Meniscus etching and Direct Current (DC) etching. Consequently, sharp and high cone angle tips are obtained with required properties where the results of the W etching are analyzed, with optical microscope, and then with field emission scanning electron microscopy (FE-SEM). Similarly, effects of varying applied voltages and concentration of NaOH solution with comparison among the produced tips are investigated by measuring their cone angle and tip diameter. Moreover, oxidation and impurities, that is, removal of contamination and etching parameters are also studied in this research work. A method has been tested to minimize the oxidation on the surface and the tips were characterized with scanning electron microscope (SEM)

    In silico Prediction and Validations of Domains Involved in Gossypium hirsutum SnRK1 Protein Interaction With Cotton Leaf Curl Multan Betasatellite Encoded βC1

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    Cotton leaf curl disease (CLCuD) caused by viruses of genus Begomovirus is a major constraint to cotton (Gossypium hirsutum) production in many cotton-growing regions of the world. Symptoms of the disease are caused by Cotton leaf curl Multan betasatellite (CLCuMB) that encodes a pathogenicity determinant protein, βC1. Here, we report the identification of interacting regions in βC1 protein by using computational approaches including sequence recognition, and binding site and interface prediction methods. We show the domain-level interactions based on the structural analysis of G. hirsutum SnRK1 protein and its domains with CLCuMB-βC1. To verify and validate the in silico predictions, three different experimental approaches, yeast two hybrid, bimolecular fluorescence complementation and pull down assay were used. Our results showed that ubiquitin-associated domain (UBA) and autoinhibitory sequence (AIS) domains of G. hirsutum-encoded SnRK1 are involved in CLCuMB-βC1 interaction. This is the first comprehensive investigation that combined in silico interaction prediction followed by experimental validation of interaction between CLCuMB-βC1 and a host protein. We demonstrated that data from computational biology could provide binding site information between CLCuD-associated viruses/satellites and new hosts that lack known binding site information for protein–protein interaction studies. Implications of these findings are discussed

    An experimental and DFT study on novel dyes incorporated with natural dyes on titanium dioxide (TiO2) towards solar cell application

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    Titanium dioxide (TiO2) thin flms were deposited on fuorine tin oxide (FTO) coated glass substrate using spin-coating techniques and as-deposited flms were sensitized with various dyes. A series of azo derivatives (2, 5a-b) having diferent structures were successfully prepared through the process of the azo coupling reaction. KAZO 6 was successfully synthesized by esterifcation of kojic acid obtained from sago waste with azo 5a. These azo dye were examined using density functional theory (DFT) and time-dependent density functional theory (TD-DFT) to obtain the vertical excitation, electron distribution, energy levels, band gap, and light-harvesting efciency in the ground and excited state. The obtained values exhibited a good correlation with the experimental values. Efciency enhancement was reported by the incorporation of KAZO 6 with curcumin extracted from turmeric. Spectroscopy and optical properties of synthesized dyes were characterized using CHNS elemental analysis, FTIR, 1 H NMR, 13C NMR, and UV–Vis spectroscopies. KAZO 6 displayed an efciency of 1.59% compared to azo derivatives 0.13–1.12%. The efciency of KAZO 6 enhanced from 1.59 to 1.74% with the incorporation of turmeric dye

    Does Social Media Provoked to Cyber Deception? An Illustrative Based Study of Youth

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    Purpose: The present study was conducted with the sole aim to explore the role of social media in promotion of cyber deception among youth which further lead to deviance among the existing societal order. Methodology: sample size of 354 respondents (youth) were randomly selected for taking primary data through structured questionnaire technique. Further, the primary data was coded into SPSS for further analysis in terms of descriptive and inferential statistics Findings: Based on the study results, the study explored that cyber deception caused by the excessive usage of social media which further lead to psychological and physical problems among youth. Moreover, virtual social world and social games are the stakeholders of cyber deception; online shopping of various companies intentionally did cyber deception; content communities and social networking users are the major deception; youth are sharing fake picture from their profile for deception. Likewise, the study also explored that manipulation of sender identity information. Female are more indulged in deceptive behavior than male, usually girl’s misuse of social media sites to influence and cash wealthy and loved ones and kidnaping is done through cyber deception Implications: Thus keeping in view the above results, the government should make such polices to overcome on the premises of the study in an urgent basis with corroboration to busy the future generation in more positive ground on sustainable development projects were the order of the day, along with parents must focus on their youth in terms of proper check and balance on weekly basis with corroboration of proper socialization will subjugate the tumbling factor in today world i.e., cyber deceptio

    Moment Generating Function Based Performance Analysis of Network Coding Two-way Relaying Using Alamouti Scheme on Fading Channels

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    Abstract- This article discusses the performance analysis of a network coded relay network. The relay nodes operate in decode-and-forward (DF) mode. The channels are modeled as Rayleigh, Nakagami-m and Rician fading. The overall system performance is improved by using the Alamouti coding scheme. The closed-form expressions of m o m e n t generating function (MGF) are obtained over various fading channels. The system performance is analyzed in terms of SER and outage probability. MGF based approach is followed to derive the closed-form expressions of SER for MPSK modulation schemes. The derived expressions also present the diversity order. The simulation and theoretical results are produced to authenticate accuracy of the system

    Hydromagnetic mixed convective flow over a wall with variable thickness and Cattaneo-Christov heat flux model: OHAM analysis

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    The effect of Cattaneo-Christov heat flux model for the hydro-magnetic mixed convective flow of a non-Newtonian fluid is presented. The flow over a wall having variable thickness is anticipated under the influence of transverse magnetic field and internal heat generation/absorption effects. Mathematical formulation has been performed by making use of the suitable transformations. Convergence analysis has been performed and the optimal values are computed by employing optimal homotopy analysis method. The effects of physical parameters are elaborated in depth via graphical and numerical illustrations. Keywords: Cattaneo-Christov heat flux model, OHAM analysis, Mixed convection, Internal heat generation/absorptio

    Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer

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    In this study, numerical treatment is performed to study the dynamical analysis of hydro-magnetic nanofluids problem for heat and mass transfer of an unsteady nanofluid flow between parallel plates by exploiting the strength of Adams and explicit Runge-Kutta method. Original PDEs of the model are transformed to equivalent system of ODEs by utilizing the similarity transformations. Numerical and graphical illustrations prove the validity of the proposed methods for number of scenarios of the system by considering different physical quantities such as the squeeze number, Nusselt number, Schmidt number, Hartmann number, thermophoretic parameter, Brownian motion parameter, and Eckert number. Keywords: Fluid dynamics, Nanotechnology, Thermophoresis, Numerical computing, Magnetohydrodynamic
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