The SIJ Transactions on Computer Science Engineering & its Applications
type: channel
description: The SIJ Transactions on Computer Science Engineering & Its Applications (CSEA) is an international, peer-reviewed journal committed to publishing high-quality research in computer science engineering and its practical applications. CSEA invites original research articles, reviews, tutorials, and expanded conference papers. All submissions undergo rigorous peer review by three independent experts—a national reviewer, an international reviewer, and a guest reviewer—to uphold quality, originality, and ethical standards. Adhering to COPE guidelines, the journal promotes research integrity, proper attribution, and plagiarism-free content. With its robust processes, CSEA aims to meet criteria for prestigious indexing services like Scopus, offering a global platform for academics, researchers, and industry professionals to disseminate innovations in the field.
language: en
publication name: The SIJ Transactions on Computer Science Engineering & its Applications
issn: 2321-2373
items: A Case Study of Credit Card Data Breach at Target Corporation: Implications for the Future of Company Information System Security
items: A Case Study Examining Trends in Company Information Security Attacks and Their Implication for the Future of Computer Science
items: Wireless Sensor Networks based Pipeline Vandalisation and Oil Spillage Monitoring and Detection: Main Benefits for Nigeria Oil and Gas Sectors
items: Internet of Things: The Evolution of Somabar and the Creation a Network Design to Enhance Data Communication at the Apple South Asia Pte Limited
items: A Comparative Overview of Fuzzy Particle Swarm Optimization based Key Management Technique in Mobile Adhoc Network Environment
items: Hybrid Linear Discriminant Analysis (HLDA) based Dimensionality Reduction and Unary Potential based on Fuzzy Possibilistic C-Means (FPCM) Clustering for Remote Sensing Images
items: Image Watermarking with DCT-Optimization based Psychovisual Threshold and Fuzzy Adaptive Median Filtering (FAMF) for Noise Distortion
items: Image Denoising with Nonlinear Hybrid Diffusion-Modified Perona-Malik Model (NHD-MPM) and Parameter Optimization by Artificial Bee Colony (ABC) Algorithm
items: Mincut Algorithm and Adaptive Histogram Equalization (AHE) for Segmentation of Retinal Layer in OCT Images with Choroidal Neovascularization
items: Analysis and Mathematical Modelling of HIV/AIDS and Transmission Dynamics subject to the Influence of Public Health Education Campaign
items: Energy Crisis Way-Forward:Diesel Generator-Micro Hydro-Solar Hybrid Power System of Off-Grid Power Station for Rural Development
items: Parallel Heat and Mass Transfer in Variable Viscosity Hydromagnetic Steady Flow between Two Horizontal Plates with Energy Dissipation
items: An Improved Distributed Fuzzy Associative Classifier for Big Data Using Butterfly Optimization Algorithm based Artificial Bee Colony Algorithm
items: Zero-Knowledge Proof Protocols for Confidential Vendor Verification in Financial ERP Systems
items: Lean Architecture for Agile Software Development Business Processing Cycle – “Chunks Processes”
items: Automated Reconciliation Engines for Multi-Entity Financial Workflows Using Smart Contract Logic
items: Attendance Verifying System based on QR
items: Invoice Management System
items: Inventory Software for Forging Company
items: Tutor Connect A Real Time Web Tutoring App
items: Paperless QR Code Based Picking of Critical Part with Automated Exception Workflow and Traceability
items: Optimizing Extraction Transformation and Loading Pipelines for Near Real Time Analytical Processing
items: Fraud Detection Using Artificial Intelligence
items: Flight Ticket Booking System
items: Financial Management
items: Enhancing Oracle Database Security: A Deep Dive into TDE, VPD, and Audit Vault Implementation
items: Enhancing Enterprise Data Pipelines Through Rule Based Low Code Transformation Engines
items: Electrical Shop Management System by Using Quickbooks Software
items: Application of Machine Learning Models for Crop Recommendation
items: Unified Workflow Containers for Managing Batch and Streaming ETL Processes in Enterprise Data Engineering

A Case Study of Credit Card Data Breach at Target Corporation: Implications for the Future of Company Information System Security
type: item
description: Crisis management refers to a process through which organizations handle situations deemed to be sudden emergencies. With quick decision making inevitable, crisis management seeks to limit potential damages that could accrue from perceived adversities. In this paper, the aim is to focus on crisis management from a practical illustration to understand issues such as potential causes, trends, and possible interventions that could be adopted to control emergencies.
subject: Articles
  topic: section
subject: Crisis Management, Credit Card, Decision Making
  topic: keywords
creator: Kristoffer
creator: Marius
rights: Copyright (c) 2019 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2019-08-02
publication date: 2019-08-02
starting page: 26
ending page: 28

A Case Study Examining Trends in Company Information Security Attacks and Their Implication for the Future of Computer Science
type: item
description: From the analysis in this study, internal attacks form the major source of threat in many companies. Specifically, the analysis establishes that rogue employees accessing the administrators’ accounts, sensitive data, or networks could cause real damage, rated at the medium risk rating and priority rating, with the impact and likelihood of occurrence standing at 3. Regarding the compromise of corporate services, it is established that the damage is likely to stretch beyond the loss of the ability to run daily functions within the stock inventory-systems and the online store. With the risk rating and priority rating suggesting that this destabilization of corporate services at VG Trading Company could yield medium-level damage, additional adversities. For example, a compromise to VG Trading Company’s corporate services is projected to yield substantial financial losses accruing due to the loss of corporate data and the loss of contract or business. Financial loss is also projected to face VG Trading Company due to disrupted trading (such as stalled progress in online transactions), loss of money, and a loss of financial data; such as payment card details and bank details. Indeed, the latter adversities are not only likely to arise due to compromised corporate services but also as a result of unauthorized access and even data misuse by authorized employees, especially those who access company sensitive information and exhibit malicious intentions.
subject: Articles
  topic: section
subject: Security, Network, Financial Data
  topic: keywords
creator: Mohammad Rafi
creator: Ahmad Hasan
rights: Copyright (c) 2019 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2019-08-02
publication date: 2019-08-02
starting page: 24
ending page: 25

Wireless Sensor Networks based Pipeline Vandalisation and Oil Spillage Monitoring and Detection: Main Benefits for Nigeria Oil and Gas Sectors
type: item
description: Wireless sensor network has been applied in many areas of human endeavour since its development, especially in environment monitoring. The technology can be used to monitor pressure and temperature of pipeline carrying petroleum product, detection of oil spillage and pipeline vandalisation. Wireless sensor network has also been developed and deployed by many developed countries for other numerous applications, but it is yet to be utilized in Nigeria despite the country facing daily pipeline vandalisation and oil spillage. To ensure that the country benefits from the advantages of using wireless sensor network, there is need to enlighten organisations in oil and gas sector about the technology. This research paper specifically explore the wireless sensor network technology, types, applications, challenges and the features that makes the technology, a viable alternative in pipeline vandalisation and detection of oil spillage in Nigeria.
subject: Articles
  topic: section
subject: Ad hoc Networks; Application of Wireless Sensor Networks; Pipeline Monitoring; Wireless Sensor Networks; Wireless Sensor Network Model and Oil Spillage.
  topic: keywords
creator: Nweke F. Henry
creator: Ogbu N. Henry
rights: Copyright (c) 2019 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2019-08-02
publication date: 2019-08-02
starting page: 01
ending page: 07

Internet of Things: The Evolution of Somabar and the Creation a Network Design to Enhance Data Communication at the Apple South Asia Pte Limited
type: item
description: In the current world, one of the technology-based areas that have received attention concerns data communication. The latter refers to an electronic means through which encoded information is transferred between, from, or to computers (Yang and Tate, 2009). Apple South Asia Pte Limited operates as a subsidiary branch of Apple Inc. the firm began its operations in 1989, targeting the market in Singapore. Some of the products supplied include personal computers, iPads and mobile phones. Also, the firm is renowned for its software service provision and global networking solutions that complement audio and visual products, as well as digital music players (Kaplan & Norton, 2011). By designing a network process that enhances data communication, it is projected that the outcome will enable senior leaders at the firm to foster linkages among the employee groups, as well as potential customers. The following section provides a description of the components that will make up the designed internet of things.
subject: Articles
  topic: section
subject: IoT, Network, Communication
  topic: keywords
creator: Benjamin
creator: Dylan
rights: Copyright (c) 2019 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2019-06-03
publication date: 2019-06-03
starting page: 11
ending page: 13

A Comparative Overview of Fuzzy Particle Swarm Optimization based Key Management Technique in Mobile Adhoc Network Environment
type: item
description: A mobile ad hoc network (MANET) is a self-organized wireless network where mobile nodes can communicate with each other without the use of any existing network infrastructure or centralized administration. The mobile ad-hoc network is an infrastructure-free and dynamic kind of network. However, security in wireless ad hoc networks is hard to achieve due to the vulnerability of the links, limited physical protection of the nodes, and the absence of a certification authority or centralized management point. Consequently, novel approaches are necessary to address the security problem and to cooperate with the properties of wireless ad hoc network. Similar to other distributed systems, security in wireless ad hoc networks usually relies on the use of different key management mechanisms. The compromise of the node breaks down the whole security system. For its mobility and self-organized features, it is a great challenge to ensure the security of the network. And the basic aspect of providing the security is managing the encrypting keys. The current key management schemes mainly depend on certificates and identity-based key encryption. Schemes based on certificates suffer from huge computational costs of certificates verification while the identity-based schemes lead to key escrow problem. Trust establishment and management are essential for any security framework of MANETs. In this review work, have studied a self-organized key management technique coupled with trusted certificate exchange for mobile ad hoc networks. The studied architecture consists of one coordinator node, servers and normal mobile nodes. The coordinator acts as a mediator for transmitting the message among the servers and mobile nodes. Each node generates its own public/private key pairs using server-signed public keying technique. As a result of multiple independent certifications, the confidence assigned to the certificates is higher.
subject: Articles
  topic: section
subject: Certificate Exchange; Mobile Ad-hoc NETworks (MANET); Security; Self-Organized Key Management; Trust.
  topic: keywords
creator: Inderpreet Kaur
creator: Dr. Chandikaditya Kumawat
rights: Copyright (c) 2019 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2019-04-30
publication date: 2019-04-30
starting page: 20
ending page: 25

Hybrid Linear Discriminant Analysis (HLDA) based Dimensionality Reduction and Unary Potential based on Fuzzy Possibilistic C-Means (FPCM) Clustering for Remote Sensing Images
type: item
description: High spatial resolution (HSR) remote sensing images provide detailed geometric information about land cover. As a result, it is possible to detect more subtle changes with the help of HSR images. However, due to the increased spatial resolution and the limited spectral information, it is difficult to identify the real changes only through the spectral feature of the image. Recent work Hybrid Conditional Random Field (HCRF) model is proposed which fully explore the spectral–spatial information and improve the change detection performance for HSR images. But here the effect of the unary potential, which plays an important role in the HCRF model, will be further investigated in this work. In this paper, Unary Potential is performed based on Fuzzy Possibilistic C-Means (FPCM) clustering algorithm and it is used for an object-based technique. In order to reduce the dimension of the spectral–spatial information, Hybrid Linear Discriminant Analysis (HLDA) is proposed in this work. In the proposed work introduce a new LDA matrix computation that incorporates confusability information between classes into the transform. It introduces a weighting factor for each pairwise scatter that enables to integrate the confusability information into the between class covariance matrix. In the proposed method, the spectral discriminative information of a single pixel is extracted by the unary potential, which is modeled using a FPCM clustering method to make an initial separation of changed and unchanged pixels. The pairwise potential then considers the contextual information of adjacent pixels to favor spatial smoothing. Using the accurate unary potential and reasonable pairwise potential for HSR images, the CD result can be greatly improved to avoid the over smoothing problem.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Remote sensing images, High Spatial Resolution (HSR), Hybrid Conditional Random Field (HCRF), clustering, Unary Potential, Fuzzy Possibilistic C-Means (FPCM), Dimensionality Reduction, Hybrid Linear Discriminant Analysis (HLDA).
creator: Sandhya. K
creator: Dr. N. Anandakrishnan
rights: Copyright (c) 2019 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2019-02-01
publication date: 2019-02-01
starting page: 22
ending page: 29

Image Watermarking with DCT-Optimization based Psychovisual Threshold and Fuzzy Adaptive Median Filtering (FAMF) for Noise Distortion
type: item
description: The high speed development of internet technology, illegal copy, transmission and distribution of digital multimedia has emerged to be a significant security challenge. This challenge inspires the design of a solution for image authentication and copyright protection. Recently, an optimal Discrete Cosine Transform (DCT) psychovisual threshold is proposed for digital watermarking approach. The newly introduced approach also yields a distorted watermark extraction with image-rotation attack. This problem will be focused in this research work. In order to resolve this issue, Fuzzy Adaptive Median Filtering (FAMF) is introduced for noise elimination in the distorted watermark extraction suffering from image-rotation attack. In the newly introduced work, embedding regions are decided on the basis of the lowest modified entropy value of the image blocks. In this, the optimization of the lowest modified entropy value is done by using Bat Algorithm (BA). Therefore, the optimal psychovisual threshold is decided for embedding the watermark in the host image for getting a better image quality. The lowest modified entropy value specified the greatest redundant image information. The scrambling of the watermark bits are done prior to them being embedded into the chosen coefficients. The newly introduced approach has been tested under various kinds of attacks. The newly introduced approach also exhibits the superior performance in terms of reliability under several numbers of combined attacks.
subject: Articles
  topic: section
subject: Watermarking, Fuzzy Adaptive Median Filtering (FAMF), Filtering, psychovisual threshold, Bat Algorithm (BA), Discrete Cosine Transform (DCT), noise elimination
  topic: keywords
creator: R. Nishanthini
creator: K.B. Manikandan
rights: Copyright (c) 2018 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2018-10-29
publication date: 2018-10-29
starting page: 19
ending page: 28

Image Denoising with Nonlinear Hybrid Diffusion-Modified Perona-Malik Model (NHD-MPM) and Parameter Optimization by Artificial Bee Colony (ABC) Algorithm
type: item
description: Image denoising aims to faithfully reconstruct an image from its noise corrupted observation. It tends to improve the degraded image quality for better interpretation and data extraction. Anisotropic diffusion models have reached a good balance between noise removal and edge preserving. But the optimization of the parameters for these models becomes difficult because of the different images and their quality. In this paper, a proposed a hybrid image denoising algorithm based on Nonlinear Hybrid Diffusion -Modified Perona-Malik (NHD-MPM) model. It is performed based on the mean curvature smoothing and Gaussian heat diffusion. The results of this denoising algorithm are combined to diffusion model and the Modified Perona- Malik (MPM) model. In addition the proposed work parameters of the Nonlinear Hybrid Diffusion are optimized via the use of the Artificial Bee Colony (ABC) optimization. In addition, the patch similarity modulus is used as the new structure indicator for the MPM model. The proposed method is thus able to efficiently preserve the edges, textures, thin lines, weak edges, and fine details, meanwhile preventing the staircase effects. Also compared NHD-MPM model with some recently advanced models, the experimental results demonstrated NHD-MPM model has a better detail and texture preservation capability.
subject: Articles
  topic: section
subject: Image denoising, Nonlinear Hybrid Diffusion -Modified Perona-Malik Model (NHD-MPM), Anisotropic diffusion, Artificial Bee Colony (ABC), and parameter optimization.
  topic: keywords
creator: Shiyamala . A
creator: K.B. Manikandan
rights: Copyright (c) 2019 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2019-02-01
publication date: 2019-02-01
starting page: 11
ending page: 21

Mincut Algorithm and Adaptive Histogram Equalization (AHE) for Segmentation of Retinal Layer in OCT Images with Choroidal Neovascularization
type: item
description: Age-associated macular degeneration is one among the important reasons behind blindness. But, the intrinsic structures of retinas are complicated and hard to be identified owing to the neovascularization occurrence. Conventional surface detection techniques may face failure in the layer segmentation. In order to resolve this issue, the recent research presents supervised technique, which is suggested for simultaneous segmentation of the layers and neovascularization. However, the surfaces detection accuracy is restricted in layers where the contrast observed between layers is less and their boundaries are not notice able owing to the neovascularization occurrence. One more drawback of this research work is its need for high computing time. With the aim of solving these issues, contrast enhancement is carried out employing the Adaptive Histogram Equalization (AHE) and Min cut algorithm was also realized for the process. The longer processing time may be decreased through the parallelization of the newly introduced technique on segmentation of retina layers. The extraction of three spatial features, seven gray level based features and fourteen layer-like features are done for the Dense NET classifier. Thus the coarse surfaces of various OCT images can be found. For the description and enhancement of the retinal layers with diverse thickness and anomalies, multi-scale bright and dark layer detection filters are presented. A limited graph search algorithm is also introduced for the accurate detection of the retinal surfaces. It will be employed in the local region and it is more quick and provided results with more accuracy. The experimental outcomes indicate the newly introduced technique performs better than the benchmarked techniques.
subject: Articles
  topic: section
subject: Adaptive Histogram Equalization (AHE); Choroidal Neovascularization; Dense NET; Mincut Algorithm; OCT Images; Retinal.
  topic: keywords
creator: Miriam Zipporah
creator: N.Sharmila Banu
rights: Copyright (c) 2018 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2018-10-29
publication date: 2018-10-29
starting page: 10
ending page: 18

Analysis and Mathematical Modelling of HIV/AIDS and Transmission Dynamics subject to the Influence of Public Health Education Campaign
type: item
description: In this study, we have analyzed a nonlinear mathematical model for the spread of HIV/AIDS in a population with variable size structure. A threshold parameter, basic reproduction number, , was found that completely determined the stability dynamics and outcome of the disease. It was found that when, , the disease free equilibrium is stable and the disease dies out. However, when, , there exists a unique endemic equilibrium that is locally asymptotically stable. It was concluded from our analysis that endemic level of infective population increases with the increase in rate of transmission of infection due to infective among susceptible class. This study presented a nonlinear extended deterministic Susceptible Infected model for assessing the impact of public health education campaign on curtailing the spread of the HIV pandemic in the Kenyan population. Rigorous qualitative analysis of the model were used to compare between the model without education and that with education in order to determine the stability of disease-free equilibrium with a stable endemic equilibrium when the basic reproduction number is less than unity. The model was used to assess the potential impact of some targeted public health education campaigns using data from the 47 Kenyan counties. Numerical simulation of the model is also performed by using fourth order Runge - Kutta method. The results from the model suggested that the most effective prevention measure that would be applied is by public health education campaign in order to thwart the epidemic. As expected, the control strategy would be more effective if all interventions were implemented together.
subject: Articles
  topic: section
subject: Basic Reproduction Ratio; Disease-Free Equilibrium; Education; HIV/AIDS Dynamics; Steady State Equilibrium.
  topic: keywords
creator: Chamuchi M. Nyaboe
creator: Johana K. Sigey
creator: Kangethe Giterere
rights: Copyright (c) 2018 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2018-10-29
publication date: 2018-10-29
starting page: 01
ending page: 09

Energy Crisis Way-Forward:Diesel Generator-Micro Hydro-Solar Hybrid Power System of Off-Grid Power Station for Rural Development
type: item
description: There are several benefits for using renewable energy sources such as emission reduction, lowering of cost and technological gain. In many remote communities in the world, standalone power systems utilizing renewable sources of energy are widely deployed to counter the widespread of energy shortage conditions. The present days‟ quest for emission reduction from energy systems couple with the intention for rural electrification has fostered aggressive research directives for renewable energy for sustainable development. The major contributions to the existing body of knowledge in this study are to establish the large renewable energy sources usage and the optimal cost allocation of hybrid system components. For the off-grid electrification of the village under study, various combinations have been obtained for the hybrid systems with PV, micro-hydro turbines, batteries, convertors and generators from the HOMER optimization simulation. The optimal simulation result table shows that the most cost effective system configuration, i.e. the system with the least net present cost, is the PV micro hydro battery converter system configuration and the cost of energy (COE) at that scenario observed to be 0.044$/kWh, and renewable resources segment is around 99%. This shows that practically the total ratio of energy production is from renewable energy sources. Hence it has become a way forward for solving rural and off-grid communities‟ energy needs.
subject: Articles
  topic: section
subject: Energy Crisis; Hybrid Power System; Osochokodo Community; Sustainable Development.
  topic: keywords
creator: U. Umar
creator: M.J.E. Evbogbai
creator: R.E. Okonigene
creator: B.A. Kwembe
creator: J.G. Bashayi
rights: Copyright (c) 2016 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2016-04-04
publication date: 2016-04-04
starting page: 10
ending page: 17

Parallel Heat and Mass Transfer in Variable Viscosity Hydromagnetic Steady Flow between Two Horizontal Plates with Energy Dissipation
type: item
description: Heat and mass transfer with variable viscosity hydro magnetic flow between two horizontal parallel plates was investigated. In this study we theoretically investigated the effects of viscosity variation parameter, magnetic field parameter and energy dissipation parameter. We considered steady incompressible fluid flow between two horizontal parallel plates which allow energy dissipation. The equation(s) governing the flow were derived and solved. The solution was extended in order to examine the flow structure as λ increases, the solutions were computed for wall skin friction, material and heat flux in powers of λ for (λ≥0,n1≥0,n2≥0 ). The results obtained were presented using tables and graphs. It was noted that the usual parabolic Poiseuille was observed with minimum values at the wall and maximum values at the plates’ centerline. At low magnetic field intensity, the magnitude of skin friction, wall heat and material flux increases with increase in fluid viscosity. The rate of material transfer to the wall decreases with an increase in fluid viscosity and decrease in magnetic field intensity.
subject: Articles
  topic: section
subject: Energy Dissipation; Heat and Mass Transfer; MHD; Steady Flow; Variable Viscosity.
  topic: keywords
creator: J.A. Okelo
creator: A.A. Kalaal
creator: K.O. Awuor
creator: Nancy Matenderechere
creator: C. Onchaga
rights: Copyright (c) 2015 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2015-08-19
publication date: 2015-08-19
starting page: 01
ending page: 09

An Improved Distributed Fuzzy Associative Classifier for Big Data Using Butterfly Optimization Algorithm based Artificial Bee Colony Algorithm
type: item
description: Association rule mining is one of the primary tasks in data mining, which is helpful in knowing the intriguing associations among the elements in the item sets of a massive database. Association Rule Mining is a prominent data mining approach. Researchers have evaluated several factors of the approach; however, very less focus is paid to tackle with the reliability of the rules external to the dataset using which the generation of these rules is done. Aproiri constitutes the common algorithm of association rule mining that helps frequent item sets’ generation. Apriori utilizes minimal support threshold to get frequent items. In this work, an algorithm, formed by Butterfly Optimization Algorithm based Artificial Bee Colony Algorithm is presented which helps in choosing the association rules with Associative Classifiers (ACs). Rather than the ABC’s onlooker bee stage, the random walk process of BOA is utilized to improve the exploration. Butterfly Optimization Algorithm Based Artificial Bee Colony Algorithm (BOAABC) is used on the rules that the apriori algorithm generates, to choose the association rules. The validation process is carried out on datasets obtained from UCI database which reveal the performance of the proposed research work and the proposed technique is efficient in the choice of association rules rather than the available algorithms. In this work, it is confirmed that the rules created in the proposed research work are easy and understandable.
subject: Articles
  topic: section
subject: Associative Classifiers (ACs); Artificial Bee Colony (ABC); Butterfly Optimization Algorithm (BOA); Frequent Item Sets.
  topic: keywords
creator: T.B. Saranya Preetha
creator: Dr.S. Jayasankari
rights: Copyright (c) 2021 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2021-06-07
publication date: 2021-06-07
starting page: 13
ending page: 18

Zero-Knowledge Proof Protocols for Confidential Vendor Verification in Financial ERP Systems
type: item
description: Vendor verification is a critical component of financial Enterprise Resource Planning (ERP) systems, particularly in scenarios involving supplier onboarding, invoice processing, and account validation. Traditional verification processes require vendors to disclose sensitive data such as banking details, certificates, and identity proofs, thereby increasing risks associated with data leakage, internal misuse, and compliance violations. This paper proposes a privacy-preserving vendor verification framework based on Zero-Knowledge Proofs (ZKP), enabling vendors to cryptographically prove ownership of account credentials and documentation without revealing the underlying information. The presented protocol integrates decentralized identity primitives, non-interactive ZK proofs, and ERP data-validation logic to establish secure, tamper-resistant verification workflows. A modular integration strategy for SAP Financial Accounting (FI) is described, demonstrating seamless compatibility with vendor master creation, change management (XK01/XK02), and banking verification tasks. The framework ensures authenticity, integrity, and GDPR-aligned confidentiality while reducing operational overhead associated with manual document checks. Experimental results show that the ZKP-enhanced workflow improves validation accuracy, reduces disclosure risk, and strengthens trust among multi-tier suppliers. This approach provides a scalable, compliant, and cryptographically verifiable method for secure vendor authentication within financial ERP environments.
subject: Articles
  topic: section
subject: Zero-knowledge proof; Vendor verification; SAP FI integration; Privacy-preserving protocols; ERP data validation; Cryptographic identity; Confidential authentication; Decentralized trust.
  topic: keywords
creator: T M Sathish Kumar
rights: Copyright (c) 2025 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2025-01-10
publication date: 2025-01-10
starting page: 05
ending page: 07

Lean Architecture for Agile Software Development Business Processing Cycle – “Chunks Processes”
type: item
description: Scrum is one of the most widely adopted frameworks for agile team collaborative implementation ranging from software development to other fields in between. To provides a way of managing work as teams break it down into development tasks that have to be completed within time-boxed intervals known as sprints. Most of the time, the intervals-Carthasigo would-be two weeks and the maximum would be one month. Every day, the actual scrum holds a 15-minute time-boxed stand-up meeting. The scrum team measures progress toward its sprint goal. At the end of the sprint, the team holds two additional meetings: an internal sprint retrospective and a sprint review, where the work done will be presented to stakeholders to obtain their feedback. Typically, a scrum master is the person in charge of a scrum team. Scrum encourages teams to self-organize by promoting tight online cooperation or physical co-location and requiring regular communication among all team members. The continual feedback and adaptability and loose structure rest quite a bit on a notion of requirements instability-meaning that the stakeholders are going to change their minds as the project develops. One of the effects of what is called the design process is architecture, which brings about a challenge in design. Essentially, the proposal of agile patterns of problem-solving consists of parsing the business processing cycle so effectively into "chunks" that can be processed concurrently. A lean approach to get the perfect value to the consumer through a perfect value-creating process that has zero waste.
subject: Articles
  topic: section
subject: Agile Methodology, Scrum, Lateral Linking Problem, SDLC, Chunks Processes.
  topic: keywords
creator: Dr.G. Singaravel Dr.G. Singaravel
creator: S. Sethupathi S. Sethupathi
creator: T. Satheshkumar T. Satheshkumar
rights: Copyright (c) 2025 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2025-01-10
publication date: 2025-01-10
starting page: 01
ending page: 03

Automated Reconciliation Engines for Multi-Entity Financial Workflows Using Smart Contract Logic
type: item
description: Reconciliation across multi-entity corporate financial ecosystems remains a persistent operational bottleneck due to fragmented ERP deployments, inconsistent document formats, and the high manual workload required to validate payment-reference details. Traditional reconciliation approaches depend heavily on linear rule engines embedded within disparate SAP finance modules, resulting in latency, error propagation, and audit inconsistencies. To address these limitations, this paper proposes an automated reconciliation engine driven by smart contract logic that enforces deterministic and entity-specific validation rules. The system leverages an on-chain verification registry to ensure tamper-proof compliance records, while off-chain adapters orchestrate data exchange between SAP modules, treasury systems, and corporate bank feeds. A unified payment-reference graph model is introduced to support atomic matching, detect anomalies, and ensure end-to-end traceability. Experimental deployment across a simulated multi-entity environment demonstrates significant reductions in processing time, manual interventions, and reconciliation failures. The proposed architecture enhances auditability, improves operational transparency, and provides a scalable framework for enterprise-grade financial automation. This work contributes an interoperable and trust-anchored solution suitable for high-volume transactional environments involving cross-entity settlements, intercompany transfers, and regulatory reporting workflows.
subject: Articles
  topic: section
subject: Automated reconciliation; Smart contracts; Multi-entity ERP systems; SAP finance; Enterprise payment automation; Audit trail generation; Transaction verification; On-chain compliance.
  topic: keywords
creator: Muralidharan. J Muralidharan. J
rights: Copyright (c) 2024 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2024-08-06
publication date: 2024-08-06
starting page: 09
ending page: 11

Attendance Verifying System based on QR
type: item
description: Traditional methods of attendance verification in educational institutions, workplaces, and events often suffer from inefficiencies and inaccuracies. To address these challenges, a QR-based attendance verification system emerges as a modern and efficient solution. This abstract explores the design, implementation, and benefits of such a system. The proposed system involves generating unique QR codes for each participant or attendee, which encapsulate their identification information. Attendees present their QR codes at designated checkpoints, where QR code scanners authenticate and record their presence. The system verifies the QR codes against a central database, ensuring accuracy and reliability. Key features include seamless integration with registration systems, customizable reporting capabilities, and robust security measures to safeguard attendee data. Additionally, companion mobile apps enhance accessibility and user experience, allowing attendees to access their QR codes conveniently. Benefits of the QR-based system encompass improved efficiency, accuracy, and accessibility. By automating the attendance verification process, organizers can streamline operations, reduce queues, and gain valuable insights into attendance patterns. Ultimately, this innovative approach revolutionizes attendance tracking across various domains, paving the way for enhanced productivity and engagement.
subject: Articles
  topic: section
subject: QR-based System, Quick Response (QR) Codes, Pre-existing Systems.
  topic: keywords
creator: A.T. Mohammed Shabeeb
creator: G. Kokila G. Kokila
rights: Copyright (c) 2024 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2024-08-06
publication date: 2024-08-06
starting page: 01
ending page: 08

Invoice Management System
type: item
description: It previews the whole system design while in the free demo session and clear your queries by experiencing Deluge Software digital dashboard. In the navigation system, we optimize the UI to be straightforward and comprehend for all sets of people so the employees grasp this entire operation. The Deluge Software has been developed with Semantic UI and Next JS Server. The system is efficient in generating reports, which will help in the maintenance of the hypermarket easily. This Deluge Software can store a lot of records in the database. It’s a user-friendly software, which can be used for service, sales and report. It has an unlimited storage and application can be used in both online and offline. Reports for billing can be generated by data wise or pricewise. The software supports advanced features like encryption for secure communication and protection of user privacy. It offers cross-platform compatibility, allowing users to access and manage their torrents on different operating systems. Deluge also provides flexibility through its plugin system, enabling users to extend its functionality and integrate additional features. Various plugins are available, allowing users to add functionalities like RSS feed integration, remote access, automatic libelling, and more.
subject: Articles
  topic: section
subject: Invoice, Deluge Software, Encryption, Security.
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: S.R. Harsini S.R. Harsini
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2024 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2024-02-09
publication date: 2024-02-09
starting page: 01
ending page: 11

Inventory Software for Forging Company
type: item
description: This report focuses on the utilization of inventory software for managing and billing in a forgings company. The objective is to explore the advantages and functionalities of implementing such software, which can significantly enhance operational efficiency and streamline inventory control and billing processes. It emphasizes the challenges faced by these companies, such as complex supply chains and diverse inventory items, and explains how inventory software can address these challenges. The key modules of the inventory software system are discussed in detail. Modules include inventory management, purchase order management, production planning, sales order processing, billing and invoicing, reporting and analytics, integration with accounting systems, compliance and traceability, and user management and security. Benefits of using inventory software in a forgings company are then examined. Emphasizes how inventory software enables real-time visibility into inventory levels, reduces stockouts and overstocking, streamlines procurement processes, optimizes production schedules, enhances order accuracy and fulfillment, automates billing and invoicing, provides valuable insights through reporting and analytics, ensures seamless integration with accounting systems, facilitates compliance with regulations, and enhances data security. In conclusion, highlights how implementing inventory software in a forgings company can lead to improved operational efficiency, optimized inventory control, streamlined production planning, enhanced customer satisfaction, and accurate billing processes. By leveraging these advantages, forgings companies can stay competitive, minimize costs, and maximize profitability in today's dynamic business environment. Discusses any training sessions, workshops, or professional development opportunities provided during the internship. It describes how these activities enhanced skills, knowledge, and competencies relevant to the field of study or career …
subject: Articles
  topic: section
subject: Inventory, Forgings, Billing, Overstocking.
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: H. Kamarunnisha H. Kamarunnisha
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2024 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2024-02-09
publication date: 2024-02-09
starting page: 12
ending page: 19

Tutor Connect A Real Time Web Tutoring App
type: item
description: The main objective of this internship was website design and development. Several programming languages that are in use to develop a web-based application or software. Some of them are only used for the UI and the frontend of the application, some are used for the backend design of the software. For Example- Django, Html etc. are some programming language to develop frontend of an application. java etc. are used at the backend. Nowadays there are also some framework' s that use vastly. Frameworks are basically structured programming by using Model, View, and Controller. If we develop web-based application that is very useful for us because we can access it from anywhere of the world. It is very helpful for our daily life. That is why I choose subject of my report is "Website design and development". Working in EzerBase added huge experiences in my upcoming career. This report takes us through all the details of Website design and development knowledge and experience gathered during this internship period. Beyond technical skills, interns will engage in user research and usability testing, working closely with the design team to refine user interfaces and enhance the overall user experience. They will learn to balance functionality, performance, and aesthetics to develop applications that align with modern design trends and best practices. In conclusion, this web application development internship offers a unique opportunity for individuals passionate about creating seamless user experiences through innovative web applications. By combining technical expertise with a user-centric approach, interns will gain practical skills, professional growth, and a chance to contribute to cutting edge projects in the realm of web development.
subject: Articles
  topic: section
subject: Tutor, User Interface, Time Web.
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: J. Kavipriya J. Kavipriya
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 39
ending page: 45

Paperless QR Code Based Picking of Critical Part with Automated Exception Workflow and Traceability
type: item
description: A mobile application, commonly referred to as an app, is a type of application software designed to run on a mobile device. It allows users to handle information instantly and in real-time, serving as an excellent communication channel between organizations and their users or clients. The app is a tool that enables businesses to manage their maintenance activities by analyzing and monitoring all tasks updated on a daily, weekly, and monthly basis. Maintenance data and a list view of the required CSV file are present, and the necessary check boxes are checked, displaying the filtered items as a list view. This list can be loaded and sent to the next screen using the "Load list" button. Stakeholders are individuals who either care about or have a vested interest in your project. They are the people actively involved in the project's work. The list of screens is displayed, and an item from the list must be selected to proceed. By using the "PICK" button, the barcode scanner is opened to select the item to pick. If the item is matched, then clicking the "Confirm Picking" button completes the process or “Wrong part picked” will appear. If the item is not available, a message will appear stating "Out of stock."
subject: Articles
  topic: section
subject: Mobile Application, QR Code, Stack Holder, Business.
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: K. Jeswanthika K. Jeswanthika
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 33
ending page: 38

Optimizing Extraction Transformation and Loading Pipelines for Near Real Time Analytical Processing
type: item
description: This article examines architectural and algorithmic enhancements that enable ETL pipelines to operate in near real-time analytical environments, emphasizing the shift from traditional batch-centric models to event-driven, distributed, and micro-batched designs. By integrating pipeline parallelism, incremental computation, in-memory processing, adaptive scaling, and multi-path routing, modern ETL frameworks significantly reduce end-to-end latency while maintaining high throughput, consistency, and data freshness across fluctuating workloads. Experimental evaluations demonstrate that optimized ETL pipelines can sustain continuous ingestion, rapid transformation, and low-lag delivery even under high-velocity transactional conditions, positioning them as essential infrastructure for always-on dashboards, operational analytics, and time-critical decision systems.
subject: Articles
  topic: section
subject: real-time ETL, data latency optimization, near real-time analytics
  topic: keywords
creator: Srikanth Reddy Keshireddy
creator: Harsha Vardhan Reddy Kavuluri
creator: Jaswanth Kumar Mandapatti
creator: Naresh Jagadabhi
creator: Maheswara Rao Gorumutchu
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 56
ending page: 59

Fraud Detection Using Artificial Intelligence
type: item
description: With the rising prevalence of digital transactions and online services, the risk of fraudulent activities has grown exponentially. Traditional rule-based systems for fraud detection often struggle to keep up with evolving tactics used by malicious actors. This research delves into the application of machine learning modules in detecting fraud across various domains, such as financial transactions, insurance claims, and online platforms. Moreover, the study investigates the combination of these methods in ensemble approaches to achieve higher accuracy and robustness. Additionally, feature engineering and data pre-processing techniques play a crucial role in enhancing model performance. We delve into the identification and selection of relevant features and the impact of different data transformations on the detection process. Furthermore, addressing the challenge of imbalanced datasets, we examine techniques like oversampling, under sampling, and synthetic data generation to mitigate class imbalance and enhance fraud detection efficiency. To evaluate the models, we utilize publicly available benchmark datasets and conduct comparative analyses to highlight their strengths and weaknesses. The results showcase the superiority of certain models for specific fraud scenarios and underscore the importance of a tailored approach for different domains.
subject: Articles
  topic: section
subject: Fraud Detection, Artificial Intelligence, Financial Transactions.
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: V. Bharathi V. Bharathi
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 26
ending page: 32

Flight Ticket Booking System
type: item
description: The aircraft ticket booking system aims to automate the current manual process using computerised hardware and extensive software. It will take care of their data storage needs, allowing them to access and manipulate their vital information for a longer period of time. All of the required hardware and software is easily accessible and intuitive. In order to suit their needs, we want to automate their present manual process using computerised tools and comprehensive software. This will allow them to retain their vital data and information for a longer period of time and make it easy to access and manipulate. Users can access up-to-the-minute flight details, including availability, price, and schedules, thanks to the system's integration with several airlines. Date, time, destination, and budget are the four main criteria that can be used to find the best airline deals. Once a flight is selected, we can book and pay online. The system also includes featured such as seat selection, baggage allowance and cancellation policies. The flight ticket booking system is a critical component of the travel industry, enabling millions of people to travel around the world each year. This report essentially outlines how to manage for improved performance and better customer services. As a result, it will aid organizations in making better use of their resources. The company can keep computerized records updated without making duplicate inputs. In order to access the knowledge, one does not need to be side-tracked by irrelevant information.
subject: Articles
  topic: section
subject: Flight Ticket, Baggage, Seat Selection, Record Update.
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: P. AnuKeerthana P. AnuKeerthana
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 17
ending page: 25

Financial Management
type: item
description: The subjects for financial management research papers have become crucial to business and economics education in the modern day. The need for study and analysis in this field is growing as financial management continues to alter in tandem with shifts in the world economy. The study's foundations include the requirement that sustainability reports be disclosed, the use of corporate sustainability as a basis for capital budgeting and associated choices, and the assessment and mitigation of sustainability risks. The need to coordinate the operation of a cohesive, well-adjusted system by combining disparate components of financial management is frequently linked to problems. As a result, there is an increasing demand for the creation of a financial management system that is closely related to the company's strategic objectives. The thorough manual "Streamlining Financial Management in Supermarkets with Marg ERP" examines how Marg ERP software may be used in the grocery sector to improve financial management and streamline operations.
subject: Articles
  topic: section
subject: Financial Management, Marg ERP, Supermarkets, Grocery.
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: K. Janani K. Janani
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 10
ending page: 16

Enhancing Oracle Database Security: A Deep Dive into TDE, VPD, and Audit Vault Implementation
type: item
description: Employee’s commitment is an essential detail for organizational survival. Studies have demonstrated that commitment has a large effect at the successful overall performance of an organization. This is because an especially enthusiastic employee might be able to perceive with the dreams and values of the organization can have a more potent choice to belong to the employer and is willing to show more organizational dedication. If human assets are said to be an enterprise‘s greatest property, then devoted human assets need to be appeared as an agency’s competitive benefit. Employee dedication complements process overall performance. A vital predictor of this type commitment is motivation, which motivates employees to spend time and electricity within the organization contributing to the success of the business enterprise. Because of this truth, there is a growing hobby in expertise the relationship between motivation and dedication. There is plenty of studies achieved at the topics involving motivation and dedication however studies on linkages among different varieties of motivation and exceptional attentions of commitment are hardly investigated. Factor evaluation, SEM which means structural Equation Modeling techniques is employed for information evaluation. The effects found that all extrinsic elements have effective and widespread effects on employees. This have a look at provides right quantity of knowledge at the significance of extrinsic factors for improving the personnel’ commitment within the non-public commercial banks in Bangladesh.
subject: Articles
  topic: section
subject: Extrinsic Factors, Motivation, Private Commercial Banks, Employee Commitment, Bangladesh.
  topic: keywords
creator: Harsha Vardhan Reddy Kavuluri
creator: Adithya Sirimalla
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 49
ending page: 55

Enhancing Enterprise Data Pipelines Through Rule Based Low Code Transformation Engines
type: item
description: Rule-based low-code transformation engines provide a scalable and efficient alternative to traditional ETL development by automating transformation logic, enforcing metadata-driven validation, and optimizing pipeline execution across batch and streaming environments. By leveraging reusable rule templates and centralized governance layers, these engines reduce development time, improve data quality, and deliver consistent performance under varying workload conditions. Evaluations in enterprise-grade simulations demonstrate significant gains in throughput, latency stability, and transformation accuracy, highlighting the suitability of low-code rule systems for modern data-driven organizations. As data ecosystems continue to expand, rule-based low-code architectures offer a future-ready foundation for building flexible, reliable, and maintainable enterprise data pipelines.
subject: Articles
  topic: section
subject: low-code ETL, rule-based transformation, data pipelines
  topic: keywords
creator: Srikanth Reddy Keshireddy
creator: Harsha Vardhan Reddy Kavuluri
creator: Jaswanth Kumar Mandapatti
creator: Naresh Jagadabhi
creator: Maheswara Rao Gorumutchu
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 60
ending page: 64

Electrical Shop Management System by Using Quickbooks Software
type: item
description: QuickBooks is a leading accounting software developed by Intuit, designed to assist small and medium-sized businesses in managing their financial records and streamlining their accounting processes. It offers a range of features and functionalities that cover various aspects of financial management, including invoicing, expense tracking, payroll management, tax preparation, and financial reporting. QuickBooks provides flexibility in terms of deployment options, including QuickBooks Online (cloud-based) and QuickBooks Desktop (locally installed). QuickBooks Online allows users to access financial data remotely from any device with an internet connection, while QuickBooks Desktop offers more advanced features and customization options. The software enables businesses to create and send professional invoices, track income and expenses, reconcile bank accounts, generate financial statements, handle payroll calculations, and ensure tax compliance. It also offers integration capabilities, allowing seamless data synchronization with third-party applications and services. Overall, QuickBooks has established itself as a trusted accounting software solution, empowering businesses to efficiently manage their finances, gain insights into their financial health, and make informed decisions. Its ease of use, automation features, and comprehensive functionality make it a valuable tool for businesses of all sizes.
subject: Articles
  topic: section
subject: Electrical Shop, Quick Books, QuickBooks Online (cloud-based) and QuickBooks Desktop (Locally Installed).
  topic: keywords
creator: Dr.N. Baggyalakshmi Dr.N. Baggyalakshmi
creator: S. Hannah Candice
creator: Dr.R. Revathi Dr.R. Revathi
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 01
ending page: 09

Application of Machine Learning Models for Crop Recommendation
type: item
description: Optimizing agricultural yields is essential for nations whose agricultural industries are strong economic drivers. Farmers could increase their yields if they knew what to plant based on their location. This paper builds a crop recommendation system using machine learning algorithms that can aid farmers’ in increasing crop yield. The proposed system classify soil using a variety of machine learning algorithms, which enables the system to suggest crops to grow based on the characteristics of the specific soil. Only four soil characteristics are considered, potassium, nitrogen, phosphorus, and pH value. Several experiments are conducted in order to select the best machine learning algorithm for crop recommendation. Experimental results show that the proposed system can recommend crop to increase yearly yield efficiently.
subject: Articles
  topic: section
subject: Agriculture, crop recommendation, machine learning, soil characteristics and yield.
  topic: keywords
creator: S. Manikanda Prabu
rights: Copyright (c) 2023 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2023-12-05
publication date: 2023-12-05
starting page: 46
ending page: 48

Unified Workflow Containers for Managing Batch and Streaming ETL Processes in Enterprise Data Engineering
type: item
description: Unified workflow containers establish a coherent execution framework for handling batch, streaming, and hybrid ETL processes within a single operational model, reducing the fragmentation traditionally seen in enterprise data engineering ecosystems. By combining container-level isolation with centralized metadata synchronization and adaptive scheduling, the approach delivers more predictable performance, stronger lineage transparency, and greater runtime stability across diverse workloads. The evaluation confirms that these pre-2019 architectural principles already embodied the foundations of modern unified data platforms, enabling smoother recovery, improved data freshness, and more consistent system behavior under fluctuating load conditions. As data volumes and real-time processing demands continue to grow, unified workflow containers provide a resilient and forward-compatible architecture for building scalable, high-efficiency ETL infrastructures.
subject: Articles
  topic: section
subject: unified ETL, workflow containers, batch–stream unification, data engineering architecture
  topic: keywords
creator: Srikanth Reddy Keshireddy
creator: Harsha Vardhan Reddy Kavuluri
creator: Jaswanth Kumar Mandapatti
creator: Naresh Jagadabhi
creator: Maheswara Rao Gorumutchu
rights: Copyright (c) 2022 The SIJ Transactions on Computer Science Engineering & its Applications
date: 2022-02-08
publication date: 2022-02-08
starting page: 10
ending page: 14