Past issues

Welcome to IJLERA! International Journal of Latest Engineering Research and Applications

Volume 08 - Issue 11 (November 2023)


Title:
A Quantum-Crypto Stream Framework (QCSF)
Authors:
Koffka Khan
Source:
International Journal of Latest Engineering Research and Applications, pp 01 - 19, Vol 08 - No. 11, 2023
Abstract:
The Quantum-Crypto Stream Framework (QCSF) is a comprehensive taxonomy that elucidates the multifaceted role of quantum cryptography in securing video streaming applications. By integrating the principles of quantum key distribution, encryption, and decryption, QCSF establishes a robust foundation for enhancing the security of video streams. It encompasses secure communication channels, authentication mechanisms, and protection against quantum threats, offering a holistic approach to safeguarding video content. QCSF also explores the potential of quantum technology in user authentication, secure multi-party computation, and regulatory compliance. This framework aims to foster a deeper understanding of how quantum cryptography can fortify the integrity and confidentiality of video streaming, paving the way for quantum-secured video experiences in the evolving digital landscape.
Keywords:
Quantum, cryptography, video, streaming, applications
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DOI:
10.56581/IJLERA.8.11.01-19

Title:
A Edge-Enhanced Video Streaming Taxonomy (EEVST)
Authors:
Koffka Khan
Source:
International Journal of Latest Engineering Research and Applications, pp 20 - 38, Vol 08 - No. 11, 2023
Abstract:
The Edge-Enhanced Video Streaming Taxonomy (EEVST) provides a comprehensive framework for understanding the multifaceted roles of edge computing in video streaming ecosystems. EEVST categorizes the diverse functionalities of edge computing, spanning content delivery, latency reduction, quality of service enhancement, security, user experience optimization, network efficiency, cost management, and integration with emerging technologies like 5G and IoT. By offering a structured approach to this dynamic field, EEVST serves as a valuable resource for industry professionals and researchers seeking to harness the potential of edge computing in redefining and improving the video streaming experience for end-users.
Keywords:
edge, computing, video, streaming, optimization, IoT
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DOI:
10.56581/IJLERA.8.11.20-38

Title:
A Cloud Video Streaming Taxonomy (CVST)
Authors:
Koffka Khan
Source:
International Journal of Latest Engineering Research and Applications, pp 39 - 61, Vol 08 - No. 11, 2023
Abstract:
The Cloud Video Streaming Taxonomy (CVST) is a comprehensive framework that categorizes and organizes the intricate landscape of cloud computing as it pertains to video streaming services. CVST serves as a versatile guide, providing structured insights into the diverse facets of cloud-based video streaming, including the services models, deployment options, architectural choices, streaming protocols, encoding techniques, security measures, content management strategies, and more. This taxonomy facilitates a systematic understanding of the intricate relationships between the cloud infrastructure and video content delivery, enabling practitioners, researchers, and technology enthusiasts to navigate the dynamic realm of cloud video streaming with clarity and precision. CVST aims to support informed decision-making and foster innovation in an increasingly data-driven, on-demand media environment.
Keywords:
Cloud, Video, Streaming, services
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DOI:
10.56581/IJLERA.8.11.39-61

Title:
A Video Streaming in WLANs Taxonomy (ViSWAT)
Authors:
Koffka Khan
Source:
International Journal of Latest Engineering Research and Applications, pp 62 - 83, Vol 08 - No. 11, 2023
Abstract:
The Video Streaming in WLANs Taxonomy (ViSWAT) is a comprehensive framework designed to categorize and structure the diverse aspects of video streaming over Wireless Local Area Networks (WLANs). ViSWAT encompasses various dimensions, including content type, network architecture, quality of service, device and application, video resolution, content source, security, wireless standards, multicast, buffering, latency, content delivery, and user interaction. This taxonomy aids in the systematic analysis, organization, and understanding of video streaming in WLANs, allowing for informed decision-making and optimization of the video streaming experience across WLAN environments.
Keywords:
Video, Streaming, Wireless Local Area Network (WLANs)
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DOI:
10.56581/IJLERA.8.11.62-83

Title:
Study on the Impact of Smart Factory Technology in Factory Management Systems on Personnel Safety
Authors:
Chun-Chang Liu, Tien-Yin Chou, Kuo-Hao Tang, Yao-Min Fang
Source:
International Journal of Latest Engineering Research and Applications, pp 84 - 90, Vol 08 - No. 11, 2023
Abstract:
In the era of digital transformation, factory automation management has gradually become the norm, integrating machinery, personnel, and big data into a unified and digital ecosystem. This not only creates a more flexible and high-productivity production environment but also enhances the overall safety of the factory premises. The 'Smart Factory - Personnel and Factory Site Safety Services' program integrates a central control platform, equipment management, personnel management, and factory safety into a smart factory management system, using a software and hardware architecture based on the Internet of Things. The primary goal of this system is to gain a comprehensive understanding of employees' work conditions to further optimize the production process and ensure the safety of the factory site. Through comprehensive data analysis, the system is expected to provide more insights, helping the management team plan resources more effectively, improve production efficiency, and provide a safer working environment, thus driving the future of smart manufacturing.
Keywords:
Digital transformation, Factory automation management, Smart Factory, Personnel management
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DOI:
10.56581/IJLERA.8.11.84-90

Title:
Indirect Measurement of the Airflow Fed to a Flotation Device, through the Measurement of the Voltage Generated by a Photoelectric Cell
Authors:
José Guadalupe González Valencia, Ramiro Escudero García, Rosa E. Pérez S.
Source:
International Journal of Latest Engineering Research and Applications, pp 91 - 95, Vol 08 - No. 11, 2023
Abstract:
Virtual instrumentation for data acquisition through signal processing is a resource used for some years with reliable results, but with high costs. With the advancement of technology, the cost of sensors and software for instrumentation has become more affordable.
In this work, the relationship between the airflow fed through a sphere rotameter and the voltage generated by a photovoltaic cell was established, by capturing a certain beam of light emitted by a light source that passes through the laboratory flotation device in a water-air system, device used in extractive metallurgy for the recovery of mineral particles and where correct measurement of the feed air flow is operationally important. The experimental system was virtually instrumented using the LabViewTM2020® software and a DAQ card was used as an interface to transform the analog and digital signals.
The experimental results show that as the number of bubbles increases with the supplied airflow, due to gas dispersion interference, the photovoltaic cell receives less light intensity, increasing the difference between the supplied airflow and the estimated one through digital signals. From the above, the need to "calibrate" the signal received in the photovoltaic cell to correct the airflow measurements is established. Through the statistical analysis of the experimental data, the correlation equation that includes the manually fed and digitally sensed flows is proposed.
Keywords:
Virtual instrumentation, DAQ, LabVIEW®, Flotation Column, Air dispersion.
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DOI:
10.56581/IJLERA.8.11.91-95

Title:
Comparative Study of Nano-Particle of Magnesium Oxide and Cow Dung for Hydrocarbon Polluted Soil Remediation
Authors:
Onwuchekwa, Ibuchi Hope, Ehirim, E. O. & Ikenyiri, P. N.
Source:
International Journal of Latest Engineering Research and Applications, pp 96 - 103, Vol 08 - No. 11, 2023
Abstract:
Evaluating the performance of chemical (fenton nano-particle) and biological (cow dung) methodon bioremediation of hydrocarbon polluted soilwas investigated in this study. The cow dung and loamy soil sample were obtained within Agricultural farm and Fenton (nano-particle) was produced in chemical/petrochemical laboratory River State University. 300g of Loamy soil were weight and poured into 14 rectors, 100ml crude was added into 12 reactors containing treatment (5g, 10g, 15g, 20g, 25g and 30g). While we have 2 control sample (unpolluted and polluted). The sample were monitored for 7th days. i.e. 1st weeks – 6th weeks in 45 days and where taken to the laboratory to analysis the following parameters TPH, Bacterial, pH and physiochemical parameters (density & moisture content).The biological method slightly outperformed better than the chemical method. At end of the analysis, TPH degradation in soil samples treated with 30g the percentage degradation of TPH in loamy soil was obtained biological method 97.49%, 98.12%, 98.25%, 98.78%, 99.11% and 99.66%, while chemical method was obtained as 91.35%, 93.62%, 97.05%, 98.36%, 98.97% and 99.09% respectively. The first order degradation rate constant, kd obtained across the treatment options range from 0.0159–0.01243day-1 for biological method, while 0.00161 – 0.1601day-1 chemical method, the half-life analysis showed that chemical method may take the longest time for TPH to degrade half its initial concentration, and biological method is fastest in soil. Also, the first order rate kinetics performed better than Michaelis-Menten equation. Finally, the study showed that biological method can be utilised as alternative bio-stimulant for crude oil remediation. Comparison of the different treatment performed better in 42th day, but 30g weight sample performed best among the treatment options across the both sample. At the end of the analysis, for 30g biological method percentage reduction of the pollutant 99.66% and chemical method 99.09%. The result indicates that the treatment for bioremediation would perform better if biological method is applied.
Keywords:
Biological, Bioremediation, Degradation, Rate constant, Media, and TPH.
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Title:
Some Results on Belief Functions induced by Probability Mass Function
Authors:
D. N. Kandekar, Ramdas B. Sonawane
Source:
International Journal of Latest Engineering Research and Applications, pp 104 - 110, Vol 08 - No. 11, 2023
Abstract:
Instead of representing a parameter with a singular numerical value, it is advantageous to express it as an interval, with the endpoints serving as lower and upper bounds. The belief function and plausibility function act as lower and upper bounds, respectively, for the probability function. Consequently, investigating the properties of belief and plausibility functions becomes crucial. In this paper, we employ a novel basic belief assignment derived from the probability mass function of a discrete probability distribution. Our focus is on examining various properties of both the belief and plausibility functions.
Keywords:
probability mass function, basic probability assignment, Belief function, Plausibility function, probability, Bayesian belief function.
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DOI:
10.56581/IJLERA.8.11.104-110

Title:
The Role of Private Developers in Physical Development of Greater Port Harcourt City
Authors:
GODWIN Chukwuma
Source:
International Journal of Latest Engineering Research and Applications, pp 110 - 120, Vol 08 - No. 11, 2023
Abstract:
Private Developers initiates layouts or schemes for undeveloped land for orderly development of cities. They are the biggest residential housing providers in the cities (particularly at the peripheries of the cities) of Nigeria. These developers account for 55 – 70% of housing stock in the country. This study aimed at undertaking an examination of private developers’ development activities at the periphery of the Greater Port Harcourt City. The target population of 17,132 was drawn from household of sampled peripheral communities. A mixed research method was adopted for the study. A simple random sampling technique was used to select respondents. A pilot survey was carried out to check and determine the reliability of the questionnaire before administering to the respondents. A total of 390 copies of questionnaires were administered. Data collected from primary sources included; personal observation and oral interviews. The key informant interview (Director Development Control, Greater Port Harcourt City Development Authority) was also employed. Secondary sources of date collected included the maps, books, journals, articles, sitelite images and other published and unpublished materials relating to this study. Univariate statistics was used to analyse data. The findings of the research showed that the private developers’ development activities at the periphery of GPHC brought about orderly and organised development of neighbourhoods, easy access to land and increase in the value of land.
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Title:
Socio-Economic Significance of New Town Development
Authors:
Chukwuma Godwin
Source:
International Journal of Latest Engineering Research and Applications, pp 121 - 127, Vol 08 - No. 11, 2023
Abstract:
New town development is an urban planning concept that is designed to move people or population away from crowded or merger cities by grouping homes or houses, recreational and industrial, culture and shopping centres to form entirely new communities. The study aimed at determining the social-economic significance of new town development in an island community Finima, Bonny local government, Rivers State. The target population of 766 was drawn from heads of households between 45years and above (those who were 18years at the time of the development in 1991, plus 27years after resettlement, 1991-2018). A mixed method research was adopted for this study. A Simple random sampling technique was used to select respondents. A pilot survey was carried out to check and determine the reliability of the questionnaire before administering to the respondents. A total of 366 copies of questionnaires were administered. Data collected from primary sources included: personal observations, focus group discussions (men and women), and oral interviews. The key informant interview (Elders and Finima development committee members) was also employed. Secondary sources of data collection included the maps, books, journals, articles, photographs and other published materials that are related to this study. Descriptive statistics such as percentages and mean were used to summarize the data on socio-economic variables. Charts and graphs were used to further illustrate findings. The findings of the research showed that the new town development brought about improvement in the standard of living in the area in terms of: improved housing, and infrastructural development, employment generation and educational development. The new town project has made more innovative positive socio-economic contributions to the community than what it was.
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Title:
A Meshfree Method for Coupled Burgers’ Equations
Authors:
Xinhua Tan, Shengfu Wen, Fuzhang Wang
Source:
International Journal of Latest Engineering Research and Applications, pp 128 - 131, Vol 08 - No. 11, 2023
Abstract:
Coupled with the finite difference method, the radial basis function collocation method can be extended to solve the time-dependent problems. This paper presents a meshfree scheme for the direct approximation of the 2D coupled Burgers’ equations. This can be done by using the two different schemes in the sense of radial and non-radial basis functions. The time variable in the first radial scheme is treated equally to the normal space variables to construct a ’isotropic’ space-time radial basis function. The non-radial scheme constructed a sensible relationship between space variables and time variable. An advantage of this space-time meshfree scheme is that the solution of both time-dependent and time independent equations can be combined in a unified way. Numerical results show that the proposed semi-analytical meshfree schemes are accurate, easy-to-programm and efficient for the coupled Burgers’ equations.
Keywords:
Radial basis functions; coupled Burgers’ equations; meshless methods.
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DOI:
10.56581/IJLERA.8.11.128-131

Title:
Position Paper: Revolutionizing Adaptive Streaming Through the User Engagement Index for Personalized and Responsive Content Delivery
Authors:
Koffka Khan
Source:
International Journal of Latest Engineering Research and Applications, pp 132 - 141, Vol 08 - No. 11, 2023
Abstract:
This position paper introduces the concept of the User Engagement Index (UEI) as a novel streaming parameter for adaptive streaming systems. The UEI is a dynamic metric that gauges user engagement by considering interactions, such as likes, comments, shares, and facial expressions using advanced computer vision techniques. Unlike traditional quality and network metrics, the UEI provides real-time insights into the viewer's level of engagement with the streaming content. The paper explores how UEI can be utilized for adaptive streaming through real-time content adjustment, content recommendation enhancement, adaptive ad insertion, interactive features integration, and machine learning integration. By incorporating the UEI into adaptive streaming algorithms, we propose a more holistic approach to content delivery, ensuring technical optimization while aligning with user interests and interactions. This parameter adds a layer of personalization and responsiveness to the adaptive streaming system, ultimately enhancing the overall user experience.
Keywords:
User Engagement Index, adaptive streaming systems
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Title:
The Impact of the Transport and communications sector on Saudi Economic growth Using ARDL Model
Authors:
Abu Elgasim Abbas Abow Mohammed, Sofian Abuelbacher Adam Saad
Source:
International Journal of Latest Engineering Research and Applications, pp 142 - 153, Vol 08 - No. 11, 2023
Abstract:
This study examined the impact of the Transportation and Communications (TC) sector on Saudi Economic Growth (EG) in the period from 1975 to 2021 using the ARDL method. The study employed that the average of EG during the study period was 9.2 meanwhile the contribution of the TC on EG reached 22.4% and 5.5% in the short and long-run respectively. The study showed existence equilibrium relationship between the TC sector and EG in the long-run Therefore the speed from short-run to the long-run estimated at about 88%. The value of the error correction factor was (-0.8822), which means it takes about a year and a month (1/0.8822).The study recommended that more efforts should be taken into a count to raise the efficiency of the transportation and communications sector to play a greater role in increasing economic growth.
Keywords:
Transport & Communication, Economic Growth, Impact, ARDL.
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DOI:
10.56581/IJLERA.8.11.142-153

Title:
Monitoring and Control of Liquid Waste using fuzzy logic based Internet of Things (IoT)
Authors:
I Made Mataram || I Ketut Wijaya
Source:
International Journal of Latest Engineering Research and Applications, pp 154 - 160, Vol 08 - No. 11, 2023
Abstract:
The increasing concerns about environmental degradation and the proper management of liquid waste have led to the exploration of innovative technological solutions. This project presents a comprehensive approach to monitoring and controlling liquid waste utilizing Internet of Things (IoT) technology and fuzzy logic. The system aims to achieve real-time data collection, intelligent decision-making, and remote control through the aerator system by integration of sensors, microcontrollers, and the Thing Speak IoT platform. The project focuses on developing a smart liquid waste management system capable of measuring key parameters such as COD(chemical Oxygen Demand). The collected data are then processed through a fuzzy logic algorithm to make informed control decisions. The system employs a Node MCU ESP8266 microcontroller to interface with the sensors and actuators. The collected data are transmitted to the Thing Speak platform, where they are visualized and analyzed. The key advantage of integrating fuzzy logic lies in its ability to handle imprecise and uncertain data, which are often encountered in environmental monitoring scenarios. By leveraging fuzzy logic, the system can provide adaptive control decisions that respond to the dynamic nature of liquid waste conditions. Furthermore, the integration with Thing Speak enhances the system's capabilities by enabling real-time monitoring, data visualization, and remote control through mobile applications. The implementation of this project underscores the significance of IoT and fuzzy logic in addressing critical environmental challenges. The outcomes demonstrate the potential for optimizing liquid waste management practices, reducing the environmental impact, and promoting efficient resource utilization. This project contributes to the growing field of IoT-enabled environmental monitoring and offers insights into the effective utilization of fuzzy logic for decision-making in real-world applications.
Keywords:
monitoring and control, fuzzy logic, optimizing, liquid waste, internet of things.
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DOI:
10.56581/IJLERA.8.11.154-160