International Journal of Communication Networks and Information Security (IJCNIS)
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Hybrid Convolutional Neural Network Model to ascertain the Objects in Dynamic Cluttered Environment
No full textThe field of computer vision has made significant strides in object detection in recent years, primarily because of the introduction of deep learning techniques, specifically Convolutional Neural Networks (CNNs). We have introduced a novel method for the multi-object detection in multi-scene cluttered environment in the proposed work. In order to build multi-scale andmulti-scene object detection, in our work we have provides a multi-scale neural network basedonthehigherresponse of FastR-CNNarchitecture. For the experimental work,we have considered different categories of different objects. The dataset is designed to facilitate the development of object detection techniques. It comprises 12,165 object chips, each consisting of 256 pixels in both azimuth and range dimensions. This dataset encompasses diverse primary backgrounds and object sizes. Furthermore, well-known cutting-edge object detectors that have been trained on real-world images are modified to serve as baselines, guaranteeing the availability of reliable and practical reference points. Experimental results indicate that these object detectors not only enhance various quantitative metrics but also achieve unprecedented levels of accuracy, surpassing the capabilities observed in prior studies
Optimal Sizing of Grid-Connected Hybrid Solar, Wind, and Battery Energy Storage Systems
No full textThis paper investigates the optimal sizing of a hybrid energy system consisting of solar photovoltaic (PV), wind turbines, and a battery energy storage system (BESS) for grid-connected applications. Various approaches and optimization techniques are explored to ensure cost-effectiveness, reliability, and environmental sustainability. Factors such as energy demand, meteorological conditions, system configuration, and economic constraints are analyzed. Simulation models and real-time case studies are presented to highlight the feasibility of these systems in modern energy grids.In the context of optimizing a grid-connected hybrid solar-wind and battery energy storage system, using a meta-heuristic algorithm like Particle Swarm Optimization (PSO) is highly effective due to the complexity of multi-objective optimization, such as minimizing costs while maximizing system reliability and renewable energy contribution
Analytical Modeling and Mathematical Optimization of a 4x2 Microstrip Patch Antenna Array
No full textThis study introduces a 4x2 microstrip patch antenna array integrated with a Defected Ground Structure (DGS) designed to meet the escalating demands of Internet of Things (IoT) communication networks. In this paper, an antenna array is intended for dual- band operation at 1.8 GHz and 2.4 GHz frequencies that are important to IoT applications. The antenna's S-parameter values exhibit exceptional performance, with return losses significantly surpassing the -10 dB benchmark, ensuring minimal signal reflection and robust transmission capabilities. Notably, the antenna achieves a substantial gain of 4.9573 dBi at2.4 GHz and 1.9698 dBi at 1.8 GHz, with Voltage Standing Wave Ratio (VSWR) readings well below the ideal threshold of 2, denoting a well-tuned antenna system. The 3D radiation pattern assessments confirm the array's efficacy in radiating uniformly across operational bands. The paper explores the optimized design parameters supporting the antenna's superior performance. The proposed design shows the balance of compactness, efficiency, and bandwidth, which is crucial for IoT devices
The impact of values in evaluating adolescent behavior
No full textAll praise is due to Allah, we praise Him, seek His aid, ask for His guidance, and ask for His forgiveness. We seek refuge in Allah from the evils of our souls and the wickedness of our deeds. He whom Allah guides, none can misguide, and he whom He misguides, none can guide, and you will never find a guardian to guide him.I bear witness that there is no god but Allah alone, with no partner, a testimony that is accepted and ascends, there is no one like Him, no god but Him to be worshipped, and no Generous One to be sought, for He is the most deserving of praise. I bear witness that our Master Muhammad is His servant and His preferred and unique Messenger, the Praiseworthy, the Most Praised, the Most Generous, the Most Glorious, the Sea of Generosity that never runs out. So may blessings and peace be upon him, his family, and his companions as long as a dove on a branch sings and chirps. After that,,,The Islamic sciences are among the most important sciences that Allah has guided us to, so we were guided. Just as Allah - the Almighty - illuminated the heavens with stars and planets, He illuminated the earth with jurisprudence and Islamic rulings, so people were enlightened by them in all circumstances, lives and purposes; in order to bring benefits and ward off corruption.Islamic values are a set of morals that create the fabric of the Islamic personality, and make it integrated and capable of fruitful interaction with society, and working to advance the family and society, and get rid of negative behaviors.These values represent the ideals and good rules by nature, reason and Sharia, upon which human life is based, and which distinguish it from other creatures.Therefore, educational scientists believe that values play a role in guiding the behavior of the individual and the group, as they lead him to issue judgments on the practical practices that he performs, and help him to progress in all fields, and rid him of illusions, superstitions and negatives.Values are the sound foundation for a distinguished educational structure, and they also contribute to shaping the individual's psychological entity, and help him not to repeat mistakes, and get rid of negative behaviors.Islamic values are a very important means of the prosperity of civilizations, and the progress of societies, and Islam is nothing but an integrated set of these values that elevate society, work to develop it and raise the level of its individuals, and achieve success and excellence.
Adolescence is one of the most important stages of human development, as the individual's personality is formed and his values and attitudes crystallize.Islamic values represent a comprehensive system that aims to achieve balance in human life, whether from a moral, social, or psychological perspective.This research aims to study the impact of Islamic values in refining and correcting the behavior of adolescents, and how these values can contribute to directing young people towards positive behavior.The importance of the topic:The importance of the research lies in the impact of values in correcting the behavior of adolescents in achieving very important matters, and emphasizing them, including:-The family's interest in raising children on the correct values.-The role of values is one of the most prominent roles in helping young people get rid of negative behaviors.The aim of the research:-To uncover many values that elevate societies.-To highlight the role of values in modifying the negative behaviors of adolescents.The methodology of the research:I used the descriptive analytical method in dealing with the scientific material, and what achieves its objectives, as I monitored the current state of adolescent behaviors, and how to correct them.I also documented the words of scholars by referring to authentic books - if available - and I also relied - also - in this study ona number of sources and references related to the topic. Research plan:In this research entitled(The effect of values in correcting adolescent behavior), I sought to highlight the effect of proper upbringing on adopting positive behaviors, and the role of values in modifying negative behaviors.I divided it into three sections and a conclusion:I devoted the first section to talking about the concept of Islamic values, where I explained the meaning of Islamic values, and their sources, then I moved on to talk about the most important values related to behavior, and I achieved the statement in the relationship between values and the behavior of the individual and society.In the second section, I explained the concept of adolescence and behavioral challenges. I discussed the definition of adolescence, followed by talking about the behavioral challenges facing adolescents, then I explained the psychological and social effects of these challenges.In the third section, I talked about the impact of Islamic values in evaluating the behavior of adolescents. I discussed in detail the role of the family in instilling values, and the role of the school and society in promoting these values. Then I applied this practically by presenting practical examples of the impact of Islamic values on the behavior of adolescents.In the conclusion, I summarized the results of the research
ANALYSIS OF THE INFORMATIVE TERM THERMAL TOURISM IN SCOPUS
No full textObjective. The objective was to evaluate the status of the term thermal tourism in the international scientific literature for consultation and research use by universities, institutions and decision makers. Methodology. A bibliometric method was applied with the support of the Biblioshiny tool, analyzing 152 documents extracted from Scopus from 1975 to July 2024. The indicators evaluated were: annual scientific production, most productive publication sources, most prolific authors, most productive institutions, most cited articles, most frequent keywords, co-citation network, and collaboration network. Results. The year with the highest production was 2017 (19 articles), with the main source of contribution being the Springer Proceedings in Business and Economics conference (6 articles). Additionally, the University of Vigo (Spain) leads in contributions (17 articles) and is also the core of the most robust collaboration network along with Portugal. Discussion. Despite the growth of thermal tourism following the COVID-19 pandemic, there is low interest from the community in researching this topic. Conclusions. There is limited participation from South American institutions, despite the region's numerous thermal resources, which can be partly attributed to a lack of awareness and inadequate preservation and management actions by authorities and the local population. Originality. This study contextualizes the current scientific landscape of thermal tourism, offering an opportunity for researchers to contribute to the sustainable development of this sector in the region
ADAPTIVE PERSONALIZATION OF SOCIAL MEDIA FEED USING POSTCATEGORIZATION
No full textIn today’s world, social media constitutes a significant part of everyone’s lives. It occupies so much of our time that it even kills our productivity. Social media applications consist of enormous number of posts that can be both informative and entertaining and belong to a wide range of categories. They can be made more user-friendly by the personalization and customization of feeds of users who consume it. Suggestions shown often consist of uninteresting posts, which can make the user experience bad and result in longer scrolling durations. The solution proposed here provides a customized and personalized feed for users based on user interests. Most of the social media applications are proprietary and the algorithms for adaptive personalization are not available publicly. The main objective of this work is to develop a model for deciding how to include or discard a new post from the users' feeds based on user interests collected earlier. The system uses concepts of clustering, informationretrieval and user profiling
The Role of AI Tool in Polishing English Pronunciation Skills for Non-Native Speakers
No full textArtificial intelligence (AI) advancements have had a big influence on language acquisition, especially in improving non-native English speakers' pronunciation. The efficacy of AI tools in enhancing English pronunciation is investigated in this study, with a particular emphasis on how they offer practice opportunities and individualized, real-time feedback. Artificial intelligence (AI) pronunciation tool uses advanced voice recognition and analysis technology to pinpoint pronunciation mistakes and provide personalized correction recommendations. The benefits of ELSA (English Language Speaking Assistant) AI technology highlighted in the paper, include improved accessibility, impartial and reliable feedback, and the ability to replicate a range of languages and speech patterns. The study also looks at how AI tools are incorporated into language learning for non-native learner’s programs and how it improves their English proficiency and confidence in English communication. The results indicate that AI technologies can be a useful addition to conventional language training, offering non-native speakers a scalable and interactive way to overcome the mother tongue influence they encounter when learning English pronunciation
Unique Log Parsing Framework for Enhanced Anomaly Detection in Network Security: Lauki Log Parser
No full textThe increasing complexity of information security demands effective strategies to protect data across various domains. Traditional system log analysis, relying on unstructured logs, employs data mining and machine learning techniques to detect network threats. However, existing methods often struggle with logs of diverse formats and structures, resulting in missed anomalies and vulnerabilities. This paper introduces LaukiLogParser, a novel real-time log parsing framework designed to address these challenges by processing both structured and unstructured logs from multiple formats, including JSON, Syslog, and CEF. By incorporating unique parsing equations, the proposed parser enhances the identification of network threats, insider threats, and system vulnerabilities. Through comprehensive testing on publicly available datasets, LaukiLogParser demonstrated a significant 15% increase in anomaly detection accuracy compared to traditional parsers, along with improved F1-scores, precision, and recall. The parser’s ability to handle a variety of log formats provides unmatched flexibility in real-time environments, making it highly effective for modern network security systems. The paper compares LaukiLogParser with existing parsers, such as LogParser-LLM, OpenLog, and LogPPT, showcasing its superiority in accuracy, scalability, and adaptability. The results highlight the limitations of current parsers, while LaukiLogParser’s novel approach offers a robust solution for enhancing anomaly detection and improving real-time security monitoring
IMPROVING RESOURCE ALLOCATION AND LEVELING IN CONSTRUCTION PROJECTS: A COMPARATIVE STUDY OF AUTOMATED TOOLS IN PRIMAVERA P6 AND MICROSOFT PROJECT
No full textThis paper aims to review the application of the automated tools, more specifically, Primavera P6, and Microsoft Project in increasing the resources and leveling in construction projects. Thus, the further purpose of this research is to compare these two popular automated tools, to understand which tool is more suitable for handling multifaceted project requirements. Based on the collected secondary data, which involves analyzing various case studies, the findings show that when it comes to complex resource interfacing aspects and overall schedule reliability, Primavera P6 offers considerable improvement in terms of minimizing project setbacks. Partially Microsoft Project has a more friendly interface that is initially suitable for newcomers and can be used for a project of medium size while cannot manage with the constantly growing complexity of the project. The results are required to the project manager and point out the fact that defining the efficiency of the tool depends on the size and complexity of the project: this will help to manage resources and improve results
Mathematical analysis of Dynamic Neural Network Fusion for Intelligent Transportation Systems (DNNF-ITS) on Internet of Things-enabled scalable data synchronization technique
No full textA comparative analysis of three important techniques in Intelligent Transportation Systems (ITS) is presented in this research. These approaches are the Dynamic Neural Network Fusion for ITS (DNNF-ITS), the Internet of Things-enabled scalable data synchronization methodology (IoT-SDSM), and the Intelligent Automated Software System (IASS). A growing need for optimal solutions in enhancing the efficiency and intelligence of transportation systems is addressed in this comparative study, which highlights the significance of the study and emphasizes its importance. The paper provides an overview of the difficulties that are inherent in each methodology and suggests a methodical approach to evaluate the effectiveness of these methodologies. These approaches are investigated for their potential applications in real-world scenarios, which include anything from the forecast of traffic to the synchronization of data and intelligent automation. A simulation analysis is incorporated into the study, which offers a more nuanced comprehension of the practical consequences and effectiveness of the techniques. When taking into consideration the distinct qualities and capabilities of each methodology, the purpose of this research is to provide decision-makers and practitioners with a roadmap that can assist them in picking the most appropriate way for progressing ITS.