The SIJ Transactions on Computer Networks & Communication Engineering
The SIJ Transactions on Computer Networks & Communication Engineering (CNCE) is an open access, peer-reviewed journal dedicated to publishing high-quality research in the field of computer networks and communication engineering. The journal aims to bring together researchers, academicians, and industry professionals to explore advanced networking models, foster innovation, and encourage global collaboration. The journal covers both theoretical and practical aspects of networking and communication technologies, including emerging trends and real-world applications. It invites original research articles, review papers, case studies, and industrial experiences that contribute to the advancement of the field. Key areas of interest include, but are not limited to, network protocols, wireless and mobile communications, network architectures, next-generation internet technologies, network security, optical and high-speed networks, IoT and sensor networks, QoS and resource management, and performance analysis.
Big Data Analytics and Optimization Models for Intelligent Supply Chain and Operations Management: A Comprehensive Review
BDA and optimization are two disruptions which have significantly contributed towards the development of SCOM under the domain of intelligent SCM, which is also known as Supply Chain 4.0. In this sense, this current review of literature aims to explore latest developments achieved in the area of BDA, together with optimization strategies to make intelligent decisions within SCOM operations. Specifically, based on a literature review as well as Delphi analysis, this current research provides a brief overview of diverse instances of BDA classified as descriptive, predictive, and prescriptive analysis, along with other forms of optimization methods like mathematical programming, heuristics, metaheuristics, and machine learning-based optimization techniques, among many others. It is evident that combination results in remarkable improvements in terms of accuracy, response rate, efficiency, sustainability, and resilience; nevertheless, some drawbacks continue to persist with regard to real-time implementation, management of unstructured data, validation, and academic/practitioner collaboration.
Big Data Analytics, Optimization Models, Intelligent Supply Chain, Supply Chain 4.0, Operations Management, Prescriptive Analytics, Industry 4.0.
Copyright (c) 2024 The SIJ Transactions on Computer Networks & Communication Engineering
Developing and Evaluating a Machine Learning-Driven Predictive Analytics Framework for Organizational Performance Measurement and Improvement: An Empirical Case Study of Apollo Hospitals, India
This research aims at developing and validating a predictive analytics model using ML tools, which will be used for evaluating and enhancing the organizational performance of health care organizations. As a single case study, this research is conducted on the example of Apollo Hospitals and suggests using several types of ML approaches, namely, supervised learning, deep learning, and ensemble learning, in order to develop predictive tools that will be useful in predicting risks, issuing early warning signals, and optimizing operations. High efficacy of the proposed analytics model was confirmed by the results achieved, which included 80% reduction in Code Blue episodes, 70% reduction in nurses' workload, more than 90% of accuracy of empirical recommendations for antibiotic use, and even 26% of ward costs reduction, all achieved through the application of ML algorithms to the database containing over 400,000 patients' anonymous records.
Predictive Analytics, Machine Learning, Organizational Performance, Apollo Hospitals, Healthcare AI, Cardiovascular Risk Prediction, Early Warning Systems, Empirical Validation.
Copyright (c) 2023 The SIJ Transactions on Computer Networks & Communication Engineering
Deep Learning-Driven Smart Farming: A Comprehensive Review of Integrated Frameworks for Soil Moisture Prediction and Crop Yield Forecasting
Smart Farming is a revolutionary concept that has gained prominence in response to global food security issues due to climate change, water scarcity, and population increase. Precise prediction of yield on the basis of the moisture content of soil is key in making optimal use of water and ensuring minimal wastage along with maximizing the output. This review paper attempts to conduct an exhaustive study of existing techniques for soil moisture and yield predictions and propose an innovative, deep learning-based smart farming paradigm for high accuracy yield prediction using soil moisture. In particular, the paper discusses current trends in traditional machine learning algorithms, latest developments in deep learning models, IoT-based smart farming systems, as well as their combinations. Various problems such as the availability of data, noise in sensors, spatiotemporal dynamics, and interpretability are explored with regard to each technique and discussed at length in the context of the proposed deep learning-based approach. Specifically, the proposed framework involves an end-to-end solution based on IoT sensor networks, multimodal data fusion, CNN, LSTM, and attention modules. Possible benefits include a 25–30% accuracy gain in predictions, up to 20–40% decrease in water utilization.
Smart Farming, Deep Learning, Soil Moisture Prediction, Crop Yield Prediction, IoT, CNN-LSTM, Attention Mechanism, Precision Agriculture, Sustainable Farming.
Privacy-Preserving Cybersecurity in Federated Learning: A Comprehensive Review of Homomorphic Encryption and Decentralized Threat Intelligence Sharing
The fast-paced developments of cyber-attacks alongside strict data privacy laws (such as GDPR, DPDP act, CCPA) led to a growing need for collaborative cybersecurity approaches that would not endanger sensitive data. Federated Learning is a technique allowing for training of models without revealing underlying data, Homomorphic encryption enables computations with encrypted data, and decentralized sharing of threat intelligence information increases collective defense capacity. This paper reviews current research trends regarding the integration of HE with FL in the context of cybersecurity for the period of 2020-2025. The main innovations in the field under analysis include hybrid techniques based on Multi-Key Homomorphic encryption, Differential Privacy, and blockchain technology for secure aggregation. Applications of HE-based FL in intrusion detection, malware classification, and IIoT demonstrate very good results in terms of privacy preservation, along with relatively moderate reductions in accuracy of about 2-5%. The critical issues of computational complexity, communication delays, and protection against collusions are considered. Future directions in the development of homomorphic, scalable, and blockchain-based cybersecurity technologies are discussed.
Federated Learning, Homomorphic Encryption, Privacy-Preserving Cybersecurity, Decentralized Threat Intelligence, Differential Privacy, Secure Aggregation, Multi-Key Homomorphic Encryption.
Copyright (c) 2022 The SIJ Transactions on Computer Networks & Communication Engineering
AI-Augmented Robotic Surgery in Orthopedics: A Comprehensive Literature Review on Precision, Efficiency, and Long-Term Outcomes
Robotic assistance has played an important role in increasing the accuracy and consistency of orthopedic surgeries during the last 20 years. Introduction of AI into the process has allowed for an increase in the accuracy of surgeries, giving surgeons decision support tools, adaptive learning, predictive algorithms, and individualized treatment options. This literature review describes innovations in the sphere of AI-integrated robotic orthopedic surgery in the period between 2018 and 2025. It focuses specifically on TKA, THA, and innovative developments in spine and shoulder surgeries. Different types of AI approaches, such as CNN for segmentation and computer vision, reinforcement learning for trajectory planning, LSTM and Transformer networks for prediction, and CDS systems that utilize Explainable AI, are examined. Some examples of improvements in terms of precision in implant placement (98.7% precision), reduction of surgery time (15-28% reduction), blood loss (25-35% reduction), and reduced rate of revision after two years and five years follow-up are presented. However, there are still certain problems that have not been solved, namely, the high initial expenses for acquiring the technology, the learning curve, the problem of information security, as well as the lack of generalizability to other patient groups.
AI-Augmented Robotic Surgery, Orthopedics, Precision Surgery, Implant Accuracy, Long-Term Outcomes, Computer Vision, Reinforcement Learning, Explainable AI.
Artificial Intelligence in Robotic Surgery: Enhancing Intraoperative Decision-Making and Real-Time Adaptability – A Comprehensive Literature Review
Robot-assisted surgeries have introduced advanced levels of dexterity, 3D visualization, and tremor filtration in minimally invasive surgeries. Despite such advances, conventional robotic platforms are still highly dependent on human intervention, with limited autonomy being provided. With the advent of AI, robotics platforms have been turned into intelligent platforms that can perform real-time decision-making and respond accordingly. This review provides an overview of advancements made in AI-assisted robotic surgery since 2018 until 2025. Two key areas of discussion include real-time decision-making and adaptability. Some of the most significant AI methods discussed are computer vision (CNNs for tissues' segmentation and landmark localization), reinforcement learning for optimal trajectory determination, predictive modeling (LSTM and transformer models), and hybrid collaboration models. The current analysis is based on the use of clinical data obtained during approximately 4,200 robotic surgeries conducted in fields such as urology, gynecology, general surgery, and orthopedics. It was found out that an AI-enhanced approach enhances surgical decision-making by 18%–32%, shortens surgery time by 15%–28%, and decreases complication risks by 22%–41%. Some of the key obstacles related to the application of AI algorithms in robotic surgeries are also analyzed. In conclusion, the paper outlines some promising research trends, among which one can highlight such aspects as multimodal digital twins, edge-AI applications, and the development of interpretable AI methods.
Artificial Intelligence, Robotic Surgery, Intraoperative Decision-Making, Real-Time Adaptability, Computer Vision, Reinforcement Learning, Explainable AI, Precision Surgery.
Cloud-Based Oracle Database Management: Migration Challenges, Security Concerns, and Performance Considerations
Cloud-based Oracle databases have become the key business priorities for companies looking to improve scalability, security, and cost solutions. However, migrating from on-premises databases to a cloud has several obstacles related to migration, compliance, security, and performance issues. In this paper, some fundamental aspects of the Oracle database on the cloud are investigated, which include migration to a cloud environment, security and Optimisation. Before moving to Oracle Cloud Infrastructure, the most important factors include data governance, network delay, and compatibility with the former cloud infrastructure. Security issues, for example, data encryption, IAM, and threat detection, in which AI technology is employed work to ensure the security of the information. However, to achieve optimal results in the case of databases located in the cloud, it is necessary to utilise auto-scaling, caching setting, and workload rate distribution to avoid interruptions and improve query response rates. In this paper, the readers will learn how to avoid or work around some of the migration issues with the help of reference cases and practical tips based on Oracle's cutting-edge cloud solutions such as Autonomous Database, Exadata Cloud Service, and Database Cloud Service. It is expressed that the enterprises that have implemented Oracle's cloud databases have benefited from increased operations availability, decreased cost of IT infrastructure, and better compliance with rules and regulations. From this study, it is evident that there is a set of challenges characteristic of a cloud migration process; however, with the proper implementation of automation, security measures and performance optimisation strategies, Oracle's shift to the cloud realm can be successful. The discussions for the future development directions of Oracle Cloud should cover areas such as AI & intelligent automation in the database, hybrid cloud evolutions & Oracle Autonomous Database, Disruptive technologies & Oracle Autonomous Database-Quantum Computing.
Oracle Cloud Database, Migration Challenges, Performance Optimization, Oracle Autonomous Database, Exadata Cloud Service, Cloud Security, Data Encryption, IAM.
The Use of a Sentiment Analysis/Opinion Mining Technique with Machine Learning Algorithms to Develop Twitter-Related Themes in the Saudi Arabian Context
Twitter is the most popular and valuable resource for sentiment analysis. This observation holds because the platform ensures that individuals express their thoughts and ideas regarding various topics, especially about social life. With users restricted to 140 characters or less, Twitter has evolved as one of the most dominant social networking websites in the world. This research has two main aspects. The first objective is to demonstrate the implementation of sentiment analyzer for Tweeter’s comments, which is considered as one of the most critical and freely big data sources. We analyzed Arabic text using Saudi dialect tweets to get the sentiments around a particular topic in Saudi Arabia. After Indeed, we evaluated the algorithms implemented by using confusion matrix. The second objective was to examine the challenges and complexities in Arabic text, especially those that make the Arabic sentiment analysis more complex than other languages.
Sentiment Analysis, Twitter Analysis, Data Mining, Machine Learning, Supervised Approach, Weka, Arabic Text.
Copyright (c) 2019 The SIJ Transactions on Computer Networks & Communication Engineering
A Simulation of the Role of Computer Networks in Increasing the Overall Efficiency of Solar Panels by Photovoltaic and Thermoelectric System Designing
In environments where there is an elevation in temperatures, there is likely to be a problem in photovoltaic (PV) modules’ performance, especially in the outdoor. Particularly, elevations in temperature tend to cause a significant loss in the devices’ efficiency of energy conversion, standing as high as 25% loss in the efficiency of conversion. In the roofs, the form of module integration dictates the degree to which there is a loss in conversion efficiency. The implication is that when the modules are cooled, the performance of PVs tends to be enhanced. This study proposed a system design in which the back of PV modules had thermoelectric (TE) converters attached to it, translating into a hybrid module that constituted a PV-TE interface. The motivation of the study was to steer improvements in the efficiency of the target solar panels that would use the integrated PV-TE hybrid system design. It is also notable that pn-junctions, with a large area, were employed toward generating thermoelectric power. Along the pn-junctions, an application of temperature gradients saw the two forms of carriers’ flux to the cold zone, having originated from the hot zone. Compared to other conventional techniques proposed previously for generating thermoelectric power, the proposed PV-TE module was found to yield beneficial outcomes in terms of reduced cost and increased efficiency. At a sample temperature such as 83.00C, specific findings demonstrated that the proposed solar panel system design with PV-TE interface increases the efficiency of the cells to about 10.92%, having been recorded initially (the efficiency) at 6.80% under the same temperature (of 83.00C). Thus, simulations via computer networks are seen to play a beneficial role of informing improvements in solar panel designs, hence enhanced efficiency.
Pn-junctions, Solar Panel, Photovoltaic (PV) Module, Thermoelectric (TE) Conversion, PV-TE Hybrid System.
Examining the Impact of BIPV on Embodied Energy: Towards Understanding the Predictive Role of Computer Network Simulation in Informing Conventional Building Development
In photovoltaic technology, one of the fastest growing elements constitutes Building-Integrated Photovoltaic (BIPV). BIPV materials are used to replace conventional building materials on roofs, skylights, facades and other structures. Thus, BIPV have gained increased application due to their capacity to not only reduce the amount of building materials but also the resultant labor. Imperative to understand is whether BIPVs yield significant reductions or their use ends up increasing the buildings’ embodied energy. Notably, BIPVs form a promising avenue through which on-site electricity is produced directly from the sun without depleting resources, pollution, or harming the environment.
Building Development, BIPV, Computer Network, BAPV.
An Experimental Study Examining the Ethernet Local Computer Network: Towards Enhancing Packet-Voice Communication
In data applications, there has been remarkable success in the use of local computer networks. An example of such applications is a case of file transfers. In the recent past, there has been growing effort to utilize such networks in voice applications. In this study, the main aim was to describe a voice protocol that could be utilized on packet-switching local networks. The experimental setting involved the use of a 3 Mbps Ethernet network. From the findings, it was evident that when parameters are selected appropriately, the selected Ethernet can support approximately 40 simultaneous voice conversations occurring at 64-Kbps, with the resultant quality also proving acceptable.
Voice Communication, Packet-voice, Measurement, Local Computer Network, Ethernet.
The Future of Communication Engineering: The Case of Vehicle-to-Grid Hybrid Cars, Plug-In Hybrids, and Electric Cars
Vehicle-to-Grid (V2G) hybrid cars constitute systems whereby plug-in electric vehicles such as plug-in hybrids (PHEV) and electric cars (BEV) engage in communications with power grids for purposes of selling demand response services by either throttling their charging rate or returning electricity. Indeed, V2G has been observed to be used in gridable vehicles (PHEV and BEV) with grid capacity [1-3]. With power generated from various sources that include renewable sources of energy (such as hydro, solar, and wind power) and thermal power plants, it (power) flows in a unidirectional manner into the system before being distributed through the grid.
Plug-In Hybrids, Electric Cars, Hybrid Cars, Hydrogen Economy.
Satisfaction of E-Banking Transaction towards International Buyers of Garment Products in Bangladesh:A Qualitative Study
Electronic banking is a standout amongst the most requested and most recent innovations in banking area of Bangladesh, applying a qualitative (phenomenology) approach, using the depth interview method. A semi structured open-ended interview was carried out among seven international buyers of the different of part of the world directing their business from Bangladesh. The study finds that the current state of internet banking has not yet reached perfection due to several reasons like lack of security, lack of available information, excessive transaction time and so on. To address these reasons, bankers should train up their staff to dispense online banking facilities to customers more efficiently. Keeping on innovating new ideas and policies to make internet banking more attractive to customers can also be possible solutions. Apart from that, customers should be given necessary guidelines by bank staff on how to prevent their accounts, passwords and other confidential things from getting hacked. Bank authorities may also run campaigns to make people aware of cyber traps and fraudulent online temptations.
Bank; Bangladesh; Internet Banking; International Buyers; Satisfaction.
A Computer Network Simulation towards the Design of a School Library Media Center: In Relation to the Role of Computerized Systems in Developing Modern Institutional Structures
According to libraries are no longer places established for the sole purpose of storing and distributing books. In addition, these places are no longer restricted to studying. Instead, technological changes have prompted alterations in library operations.
Network Stimulation, Developing Modern Institutional Structures, Library Operations.
A Simulated Experimental Set Up of an IT Office for A Small Company: Towards Understanding the Role of Computer Networks in Developing Structural Designs
Similar to the decoration of a new house, setting up an office from scratch remains overwhelming. The situation becomes complex when the IT infrastructure sets in. Issues that account for this dilemma range from setting the interior to filling an office with new equipment and also purchasing new furnishings.
IT Infrastructure, Computer Networks, Developing Structural Designs.
Copyright (c) 2018 The SIJ Transactions on Computer Networks & Communication Engineering
A Study of the Impact of Communication Engineering On Police Searches: A Qualitative Case Study of Canada and the Apple Dilemma
According to the Canadian Charter of Rights and Freedoms, Section 8 protects all persons in Canada against unreasonable seizure and search. Also, this right ensures that the Canadians have a constitutionally enforced right to privacy and that the state is not expected to intrude unreasonably.
Impact of Communication Engineering, Apple Dilemma, Personal Information, Evolution of Technology.
An Examination of Driverless Cars in Relation to Cost-effectiveness and Environmental Friendliness: A Secondary Study focusing on the Case of North America
With the ever-changing technology-driven world, mixed outcomes arise relative to the adoption of driverless vehicles in North America. On the one hand, merits imply that adopting these cars might translate into economic stability and environmental friendliness. On the other hand, some of the perceived limitations accruing from the legalization of driverless vehicles suggest that their adoption could harm the environment and the general economy in the region.
Driverless Cars, Environmental Friendliness, Benefit the Economy, Fuel Saving.
The Characteristics of using Credit Card Affecting to the Causes of Bad Debt of People in Bangkok Metropolitan Region
Previous studies have focused on distress of credit use. However, many people in Thailand have used credit cards, and cannot pay off credit card debt. The objectives of this study were to investigate the personal factors and the characteristics of using credit cards which affect the cause of bad debt. The study was a research survey that used questionnaires to collect data from 400 samples of credit card holders from the Bangkok Metropolitan Region. From the study, the samples which responded to the questionnaire shared the following characteristics: There were females, age between 29-30 years old, single status, master degree of education; most of them are employees in private companies which have 1-2 credit card holders in amount of 50,000 baht limit. They use credit cards for spending on consumers goods, at less than 5,000 baht per time.
Bad Debt; Bangkok; Bangkok Metropolitan; Characteristics of using Credit Card; Credit Card; People in Bangkok; Using Credit Card.
The Relevance of Work-life Balance Programs in the Reduction of Work-life Conflict and Turnover Intention in the Business Process Outsourcing Industry: A Structural Equation Model (SEM)
The research study aims to describe the causal relationship of the employee‟s frequent use of work-life balance programs in the reduction of work-life conflict and turnover intention through the use of Structural Equation Modeling (SEM). 300 call center agents, aged 18 – 48 years old, from four different BPO companies in the Philippines participated in the study. Data gathered generated a new model that provides evidence on the relationships between the discovered dimensions of usage of work-life balance programs (Policy Rationalization and Time Adjustment and Social Support) and the dimensions of work-life conflict (Job Demands and Family Demands) and what dimensions affect turnover intention. This study serves as a clarion to HR managers;, calling for the efforts in organizations to develop programs and policies pertaining to employees‟ work life balance that focus on underlying matters that cause workers to have conflicts in their work and personal life.
Business Process Outsourcing Industry; Turnover Intention; Usage of Work-life Balance Programs; Work-life Conflict.
Integrated Marketing Communications (IMC) Strategy of Banyuwangi Regency’s Government in Effort to Introduce the Potential of Local Tourism
Integrated marketing Communication recently implemented in Banyuwangi-city as an effort to boost the popularity of local tourism. Previously Banyuwangi city has a potential of natural and cultural tourism but still got a small popularity. This research aimed to describe the strategy and the activity of Local government of Banyuwangi city by using that method. The result of this research is the method well used in the marketing activities of the Local government like; advertising, personal selling, sales promotion, direct marketing and public relations & publicity.
Integrated Marketing Communications; Marketing Communications; Strategy Marketing Tourism.
A Survey on Dual Authentication and Key Management Techniques for Secure Data Transmission in Vehicular Ad Hoc Network
VANET is a self-organizing communication network that is created among the moving vehicles. VANET have recently become popular for research, with attention to advance the driving experience and road protection. VANET usually incorporate Trusted Authority (TA) that is meant to source online premium service to nodes in network. It is required to keep up the authentication and confidentiality of the messages transmitted between the TA and nodes. Hence the address security issues and challenges where TA classifies the VANET nodes into primary, secondary and unauthorized users. So therefore, in this project have proposed a dual authentication scheme to produce advanced security level to effectively that stops the unauthorized vehicle entering into VANET environment using smart card. Second, we tend to propose a Batch Level Signature (BLS) group key management theme with efficiency distributing a group key to different VANET nodes. From this project, must send the messages or some safety information from the Trusted authority to the primary user and then primary user to the secondary user with full of secured process..
Authentication; Chinese Remainder Theorem; Group Key Management; Vehicle Street Key; VANET.
Energy-Efficient Resource Allocation and Spectrum Sensing for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm
Cognitive Radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi radio access technology (multi-RAT) can improve network capacity. Thus, multi-RAT embedded in a cognitive Radio Network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous Primary Users (PUs). Specifically, we focus on the Energy-Efficient Resource Allocation (EERA) problem for CR. We propose a two-tier cross over genetic algorithm based search scheme to obtain an optimal solution in terms of the power and bandwidth. Spectrum sensing is the basic and essential mechanisms of Cognitive Radio (CR) to find the unused spectrum. Energy detection based spectrum sensing has been proposed. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.
Cognitive Radio Network; Energy-Efficient Resource Allocation; Multi-RAT; Radio Environment Map; Two-tier Crossover Genetic Algorithm.
Copyright (c) 2017 The SIJ Transactions on Computer Networks & Communication Engineering
Teletraffic Model for K-fold Multicast Network: Performance Evaluation with Buffer using M/M/n/n+q/N Kendal’s Notation
This paper is an extended work of Hasan et al., (2012) where a teletraffic model was shown. In a previous research work, the authors presented a k fold multicast network with optimum output. Multicast has brought a change in network operation by providing bandwidth effective technology and reducing traffic loads. It is popular for performance optimization in a network. In this paper, a new model has been designed to establish a suitable value of the fold k of a k-fold multicast network under different traffic loads under Poisson traffic with finite queue at each node. Stationary distribution has been derived for the network states with the derivation of expressions for the network throughput and the blocking probability of the network. The research has explored that the network throughput increases very fast if the fold number is increased. However, at a certain value of the fold, the blocking probability stops to increase and it becomes constant. The study further discovered that as the offered traffic is increased, the throughput also increases. With the increase of system parameter k, the blocking probability decreases. Moreover, after an optimum value of k, the blocking probability becomes static for a particular value of the offered traffic.
K-fold Network; Kendal’s Notation; Markov Chain; Multicasting; Teletraffic; Throughput; Traffic Theory.
Copyright (c) 2016 The SIJ Transactions on Computer Networks & Communication Engineering
Numerical Investigation of Unsteady MHD Free Convective Flow Past an Oscillating Vertical Porous Plate with Oscillatory Heat Flux
The unsteady MHD convective flow of a viscous incompressible electrically conducting fluid past an oscillating vertical porous plate in a porous medium with an oscillatory heat flux in the presence of a uniform transverse magnetic field is studied. The governing equations describing the flow along with the boundary conditions are solved by Finite Difference Method using the MATLAB computer generated program. A numerical investigation are performed to estimate the effects of varying Darcy number, radiation, magnetic, and suction parameters on fluid velocity and temperature on MHD free convective flow. The effects of changing these values on Temperature distribution and velocity flow are shown in the graphical and tabular forms. We have presented the non-dimensional velocity u and temperature
Crank Nicolson Numerical Scheme; Darcy Number; Finite Difference Method; Magnetic Parameter; Prandtl Number; Radiation Parameter; Suction Parameter; The Partial Differential Equations.
Effect of Hall Current and Rotation on MHD Free Convection Flow past a Vertical Infinite Plate under a Variable Transverse Magnetic Field
In this study, the effect of Hall current and rotation on an electrically conducting fluid has been investigated. The fluid was considered to be flowing past an infinite vertical plate and under a strong variable transverse magnetic field. The flow was also turbulent due to the plate roughness and variation in physical properties. The entire system rotates about an axis normal to the plane of the plate with uniform angular velocity, . The aim of the study was to find, the effects of Hall current and Rotation on velocity profile (both primary and secondary) and Temperature distribution of the fluid. The set of equations that describe the flow are a combination of the generalized ohm’s law, Maxwell’s equations, momentum equation and equation of energy. These equations are solved numerically using the methods of finite difference approximation. Then numerical results of velocity profile and temperature distribution are analyzed using tables and graphs for Hall current parameter, and Rotational parameter, . It was observed that both Hall current and Rotation affect the Velocity profile and Temperature distribution of the fluid.
Free Convection; Hall Current; Magnetohydrodynamics (MHD); Rotation and Variable Magnetic Field.
Copyright (c) 2015 The SIJ Transactions on Computer Networks & Communication Engineering
Effect of Electromagnetic Field on Forced Convective Heat Transfer in a Vertical Wavy Channel Divided by a Perfectly Conductive Baffle
The effect of electromagnetic field on forced convective heat transfer in open-ended vertical wavy channel was studied. The channel was divided into two streams by means of a thin, perfectly conducting baffle and hence the velocity was individual in each passage. The fluid was set with constant initial velocities by a pump. The coupled, nonlinear partial differential equations were solved numerically valid for small values of amplitude and frequency parameter. Numerical results were presented graphically for the distribution of velocity and temperature fields for varying physical parameters such as baffle position, Reynolds number, wall temperature ratio, Hartmann number and electric field load parameter at different positions of the baffle. It was established that, an increase in Reynolds number, leads to increase in velocity. This increase in velocity is further enhanced with increase in channel width. The electric load enhances velocity when it is negative but it retarded when it is positive. The increase in Hartmann number decreases the flow velocity of fluid in a channel. The wall temperature ratio and the Prandtl number enhance temperature distribution at different positions of the partition.
Conductive Baffle; Electromagnetic Field; Forced Convection; Heat Transfer; Vertical Wavy Channel.
A Numerical Method for Dynamic Response Analysis of Structure Subjected to Relative Displacement between Support Points
An equation of motion for structure under both inertial force and the relative displacement between its support points was formulated, and a numerical method for applying the equation to non-linear dynamic response analysis was developed. Using the formulation and the method, the author simulated the dynamic responses of 2 elastic structures and that of an inelastic structure subjected to both the inertial force and the relative displacement between support points, to prove the method can evaluate the effect of the inertial force. In addition, the non-linear responses of the inelastic structure under some pairs of relative displacement waves, with/without the consideration of inertial force, were carried out to evaluate the influence of the inertial force. As a result of the analyses, the method could represent both the effect of inertial force and that of the relative displacement. It was also shown that the effect of inertial force is of great importance for evaluating the damage of structure caused by dynamic relative displacement of its support points.
Equation of Motion; Inertial Force; Non-Linear Dynamic Response Analysis; Relative Displacement; Time History Response of Curvature.
Copyright (c) 2014 The SIJ Transactions on Computer Networks & Communication Engineering
Magneto-Hydrodynamics Analysis of Free Convection Flow between Two Horizontal Parallel Infinite Plates Subjected to Constant Heat Flux
A steady MHD stokes free convection flow of an incompressible, electrically conducting fluid between two parallel infinite plates subjected to constant heat flux and pressure gradient has been studied. The flow is considered heat generating due to frictional heating of fluid particles. The upper plate is impulsively started at constant velocity while the lower plate is assumed to be porous and stationary. The two plates are separated by a distance h. A constant magnetic field is applied normal to the main flow direction and is found to affect velocity profiles considerably. Further, an investigation on how Prandtl number, Eckert Number and Hartman Number affect velocity profiles and temperature distribution has been carried out. The non-linear differential equations generated in this study are solved by finite difference method. The results that have been obtained on velocity profiles and temperature distribution are discussed in detail. An increase in Hartmann is found to cause a decrease in velocity profiles and an increase in temperature distribution. In addition, an increase in Eckert number causes an increase in temperature while an increase in Prandtl leads to a fall in temperature distribution. These results are found to merge with the physical situation of the flow.
Eckert Number; Hartmann Number; Heat Transfer; Prandtl Number; Pressure Gradient; Suction Velocity.
Copyright (c) 2013 The SIJ Transactions on Computer Networks & Communication Engineering
By automating the payment of supplier invoices, invoice processing automation software helps firms streamline accounts payable procedures. With automated invoice processing, you may quickly and easily pay bills by importing data from incoming invoices into your enterprise resource planning (ERP) or accounts payable system. Common forms of automation in automated invoice processing include price matching, purchase order management, data entry, digital payment transfer, and workflow optimisation. Efficient invoice administration can be handled by a sophisticated automated solution. It is accounts payable's job to handle invoice processing. In the past, people have relied on a time-consuming system that involved entering data from invoices, printing out invoices, matching purchase orders, and filing. It's an inefficient procedure that keeps things that way. We are receiving invoices through various electronic means. That's the pinnacle of human processing power. By utilising AI and ML, a payable department can expedite the laborious process. Automating a workflow includes creating a digital invoice. The entire invoicing process, from receipt to mailing, is being revolutionised by technology. When a business uses automation, it can speed up the accounts payable process. An automated invoice is more efficient in its workflow than a manual one. Many benefits can be gained from automated invoicing. The time it takes for a business to get from "procure to pay" can be cut by as much as 80%. With fewer human inputs, errors are less likely to occur. Shortens processing periods and expedites approvals. Cuts down on labour expenses. Relationships that are vital to the success of the company can take precedence. Cut down on payment and invoice duplication. Vendors benefit from a more open process, while employees are freed from boring jobs. Reduces the expenses associated with handling bills by hand, including postage, paper, etc. If you can, pay in advance to take advantage of discounts and avoid late fees. The accuracy and timeliness of your profitability reports are guaranteed by automated invoicing. Instead of worrying about whether orders have been invoiced or not, or worse, waiting for your accounting system to catch up with sales, you can make data-driven decisions in real-time.
Sales Invoice Automation, ERP, Artificial Intelligence, Machine Learning.
The textile industry is a complex and highly competitive sector that demands efficient management of resources, optimized production processes, and effective supply chain operations. In this context, SAP Textile Software emerges as a powerful solution designed to address the unique challenges faced by textile manufacturers, wholesalers, and retailers. Moreover, SAP Textile Software integrates seamlessly with other SAP modules, allowing for end-to-end process integration and data synchronization across departments. This enables seamless collaboration between different functions, enhances data accuracy, and eliminates silos within the organization. Key functionalities of SAP Textile Software encompass all aspects of textile operations, including product lifecycle management, supply chain management, sales and distribution, procurement, inventory management, and financial accounting. It enables textile businesses to streamline and automate critical processes, enhance collaboration among stakeholders, and make data-driven decisions in real-time. With SAP Textile Software, textile companies can effectively manage diverse textile products, from yarns and fabrics to finished goods, while ensuring accurate tracking of inventory, production progress, and quality control. The software provides comprehensive visibility into the entire value chain, enabling improved demand planning, optimized production scheduling, and efficient resource allocation.
SAP Textile Software, Supply Chain Management, Lifecycle Management, Accuracy.