International Journal on Recent and Innovation Trends in Computing and Communication
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The Future of Accounting in e-Business systems
Get PDFBusinesses face a constant shift towards digitalization and virtualization due to the rapid growth of IT. The transition from ERP-type information systems to e-Business type information systems has been influenced by emerging programming technologies. Of course, the main component of these information systems is Accounting, which is not an exception and cannot remain at the current digitization stage, but must follow the steps imposed and the possibilities created by new technologies. Even if some experts claim that accounting has a weak future in the digital world, in the future, accounting needs to be strategically integrated into management and business strategies because it is the only science that has the tools to measure the economic-social reality. In this study, which includes 27 business companies and 8 IT systems, we attempt to highlight the automation of previous accounting tasks and to present forecast accounting as a tool for corporate management and plannin
Instinctive Calibrate based Container System Along with Protection and Database Optimization for Emphatic Cloud based software Testing
Get PDFInnovative developments of cloud-based application the researchers must conduct cloud-based software tests to assess the reliability and completeness in order to ensure the high quality. Nonetheless, several scholars came up with research on testing technology applied to the cloud, in that there is no specific approach to follow for resource management, software integrity and database configure optimization in order to perform an effectual cloud-based software testing. Hence, the paper proposed a novel Emphatic Cloud Integration Testing with DBM’s Framework to support integration of remotely-hosted cloud testing tools in a strong secure and lossless data manner. To begin with reduction of waste resources, the frame work introduces Instinctive Calibrating based Container’s system, which performs the implementation of four level mechanism with instinctive calibrate service on containerized orchestration platform to control the calibrate-in/ calibrate-out of containers during work load fluctuation. Along with this for container security and integrity, Isolated Ratification with protection scrutinize Strategy is incorporates that conquer via separate validation to each compute node equipped with a single trusted platform module, and it enables integrity verification of both the host and running containers. At last due to the diverse database instances and query workloads, the framework commences with Tetrad Deep Method to optimize the configurations of database through end-to-end isolated database alteration with attempt-defect manner that overcome the shortcoming caused by regression, hence the proposed work highly reduced the time and space complexity at the occasion of major services as cloud-based software testing
Mobile-Based Monitoring System Framework for Smart Hydroponics Lettuce Farming
Get PDFHydroponics farming is popular all over the world because it sustains many people who suffer from hunger and who don’t have a lot of space or land that can be planted. The focus of this study is to provide material and design for innovative smart hydroponics farming that involves growing a lettuce plant using IoT devices, sensors, and Node-Red. Conducting this study is critical to the research because different components need to be identified first, as well as features for mobile devices connected to the IoT devices. The aim of this study is to design an IoT-based system that constantly monitors the water level, temperature, and humidity of the hydroponic lettuce crop. To fulfill the aim of the study, the researchers provide material and design for how it works, methodology for the hardware of the system, and a design thinking process to address complex problems and come up with unique solutions that emphasize innovation. As a result, the study can collect data from the different sensors. The readings of the sensors can be accessed through the Node-red Dashboard, viewable on mobile devices. Additionally, the researchers suggested exploring more about Node-Red and other possible uses of it in the IoT
A Review of Resume Analysis and Job Description Matching Using Machine Learning
Get PDFIn the contemporary job market, the effective matching of resumes to job descriptions is a critical facet of talent acquisition. This research paper provides a comprehensive review of the advancements, methodologies, and challenges associated with leveraging machine learning (ML) and natural language processing (NLP) techniques for resume analysis and job description matching. The study surveys the existing literature, synthesizes key findings, and presents a taxonomy of approaches employed in the field. The paper begins by elucidating the significance of efficient resume-job description matching in enhancing the recruitment process. It then delves into the foundational principles of machine learning as applied to human resource management, emphasizing the role of natural language processing, pattern recognition, and semantic analysis in extracting relevant information from resumes and job descriptions. The review encompasses an in-depth analysis of various machine learning algorithms and models utilized in resume parsing, including but not limited to neural networks, support vector machines (SVM), and ensemble methods. Moreover, the paper investigates the incorporation of deep learning architectures, such as convolutional neural networks and recurrent neural networks, for more nuanced feature extraction and representation. Key challenges and limitations associated with current methodologies are thoroughly examined, addressing issues such as the need for large, diverse datasets for robust training. The paper concludes with a discussion on future research directions and emerging trends in the realm of resume analysis and job description matching. This research contributes to the existing body of knowledge by offering a comprehensive synthesis of the current state of machine learning applications in resume analysis and job description matching, providing valuable insights for researchers, practitioners, and industry professionals seeking to optimize talent acquisition processe
A Comprehensive Exploration of Privacy and Security Mechanisms in E-commerce
Get PDFThis research is all about making online shopping, or e-commerce, safer. We know that buying and selling things on the internet is easy, but we need to make sure our information stays safe. The study looks at the problems we face, like attacks that try to make websites stop working, unauthorized access to our information, and stealing or fraud. It talks about how important it is to have strong security measures to deal with these risks. It suggests different safety measures like improving how websites talk to each other using SSL/TLS, using strong encryption to protect user information, adding an extra layer of verification (Two-Factor Authentication), and making sure online transactions are secure. It also looks at protecting against specific types of attacks like SQL injection, which is when unauthorized individuals try to mess with a website's database. The study talks about how important it is for online stores to have clear privacy rules, let people shop without giving away too much personal information, and make sure payments are safe. It wants to give practical advice to online stores to make their privacy and security better. The research knows that security problems keep changing, so it says online stores should keep updating how they protect themselves. The primary inquiry it seeks to address is how to make the e-commerce experience safer for all users
An Empirical Analysis of Brand Loyalty and Marketing Strategies in the FMCG Sector of China
Get PDFThis study examines the complex connection involving brand loyalty and marketing strategies in the Fast-Moving Consumer Goods (FMCG) industry, with a focus on the importance of innovative marketing techniques in fostering consumer loyalty. The study utilizes a mixed-method approach, combining quantitative data from consumer surveys with qualitative insights from industry expert interviews. This methodology allows for a full analysis of current marketing trends and their effectiveness. The study initially examines crucial determinants that impact brand loyalty in the FMCG industry, encompassing product quality, pricing, customer service, & brand perception. The text analyzes the effects of several marketing methods, such as digital marketing, personalized communication, and environmentally friendly initiatives, on key factors that influence customer loyalty. The investigation indicates that digital marketing & personalization are strong indicators of brand loyalty, illustrating a change in customer preferences towards firms that provide more customized and captivating experiences. The study examines the difficulties encountered by FMCG companies in efficiently implementing these tactics, including the need to strike a balance between cost and effectiveness, handling both online and offline channels, including aligning marketing strategies with the swiftly evolving customer expectations. The paper provides strategic advice for FMCG companies seeking to improve brand loyalty. It suggests that adopting customer-centric & adaptive marketing tactics is essential for long-term success in the competitive FMCG industry. This research enhances the comprehension of the complex relationship between brand loyalty and marketing in the FMCG sector by presenting factual facts and strategic insights. It provides essential information for both academic studies and practical implementation
Scheduling and Optimization of Traffic Lights in Vanet
Get PDFWith the advent of various advances in vehicles, traffic congestion is a serious problem in big cities. With the number of vehicles increasing rapidly, especially in cities, the situation is getting even worse. Traffic lights are used to control the flow of traffic, which can help peoples to reach their destination without any unnecessary delay of traffic Congestion at cross road. Currently, fixed cycle traffic light system manages traffic, throughput of traffic decreases at intersections during rush hours. Hence, an Adaptive traffic light scheduling system is proposed here. This system dynamically changes the cycle of traffic lights according to current traffic, and even the scheduling scheme is modified for avoiding unnecessary delay. Advances of Vehicles led to vehicular communication through Vehicular Ad hoc Network (VANET). Communication between Vehicle to Vehicle and Vehicle to Infrastructure is now possible. In this proposed approach, real-time speed and position information is aggregated from individual vehicles to improve traffic flow at intersections (crossroads), so that, vehicle can travel with minimum delay. Various scheduling algorithms are compared with respect to platoons of vehicles. The main goal is to reduce average delay, fuel consumption and air pollution. This would eventually reduce the Drivers Fatigue
VANET Traffic Congestion Detection and Avoidance
Get PDFThe main objectives behind the development of congestion detection algorithms are to detect areas of high traffic density with low speeds. Each vehicle captures and disseminates information such as location and speed and process the information received from other vehicles in the network, which can be possible through VANET. Vehicular Ad-hoc Networks are self-organizing networks established among vehicles equipped with communication facilities Due to recent advancements in vehicular technologies vehicular communication has emerged. Multiple approaches have been proposed to implement congestion detection in VANET. Traffic congestion is a very serious problem in big cities. With the number of vehicles increasing rapidly, especially in cities whose economy is booming, the situation is getting even worse. In this paper we are presenting Detection of Traffic Congestion using proposed approach and analysis of result
Low-Salt Water Flow Monitoring in Jeju Coastal Area Using Coms Satellite Data
Get PDFRecently, as low-salt fountains flowing from the Yangtze River region of China have caused damage to fishermen near the south coast, west coast, and Jeju Island, the importance of detecting and preparing for them in advance is increasing. Until now, monitoring of low-salt fractions has remained in the stage of monitoring by sending probes or predicting through ocean currents, and only recently, methods of monitoring low-salt fractions using chlorophyll concentration analysis through sea color and machine learning have been studied. However, these two methods have their own limitations, and this study aimed to develop a low-salt fountain monitoring method suitable for the Korean Peninsula by predicting the direction of movement of low-salt fractions using data different from previous satellite data
An Efficient Machine Learning Based Approach For Phishing Detection
Get PDFPhishing is a breach of statistics safety through which attackers can advantage get admission to sensitive individual credentials through manner of using counterfeit net web sites closely equal to legitimate net web sites. Phishing starts of evolved with a fraudulent emails or exceptional communique that is designed to attack on a victim. If the victim clicks on immediately to the given url through manner of the cyber-attack that the attacker can get the extraordinary statistics or the essential statistics of the patients and misuse the statistics. There are one in all a type sorts of set of guidelines that can be used to come across the given url , whether or not or now no longer it is good url or the awful url . Among the ones all of these algorithms some algorithms will the ideal stop end result or the maximum percentage of the phishing attack detector. Some of the algorithms with a view to supply the almost accurate outcomes are, Random Forest Algorithm, Decision Tree Algorithm. The message exactly seems like the precise message which have become sent from the attackers but appears exactly similar to the message from an authorized enterprise agency or a company. This assignment can be accomplished through manner of using the Machine Learning using some libraries