International Journal of Communication Networks and Information Security (IJCNIS)
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Research on Transmission and Expression Design of Online Game Design Elements Based on Wireless Communication Technology
No full textThe collection and transmission of data play an extremely important role in both daily life and industry. However, traditional wired data transmission is far from meeting the requirements, and installation and wiring are difficult. At the same time, it requires a lot of manpower and material resources for management, and there are a series of problems such as line ageing. Therefore, wireless data collection and transmission has become a reasonable alternative. Wireless communication technology is an important medium for the development of online games, and its gradual expansion has given it a unique voice in the online game market. The study first clarified that online games and wireless communication technology are two different concepts, and the two are constantly integrating into their development. Secondly, taking the online game Genshin Impact as the case, starting with the image construction of virtual existence, expression construction of emotional communication and participatory behavior construction, it is found that the integration of online games and wireless communication technology is deepening. This paper takes the online game "Genshin Impact" as a case to study the integration of online game design elements transmission and expression and wireless communication technology. Through investigation and analysis of fan groups, the characteristics of online game fan groups and their impact on the game were revealed. At the same time, combined with the development of wireless communication technology, this paper explores how to use wireless communication technology to enhance the gaming experience, and improve user stickiness and loyalty
Islamic Banking Systems Under Economic Reforms: A Case Study of Islamic Bank
No full textThe research entitled: “The mechanisms of work of Islamic banks in light of economic reforms, a case study of the Algerian Islamic Bank - Al-Salam Bank as a model” aims to: To clarify this topic by using a case study approach by representing the research community in Algerian Islamic banks and choosing a representative sample represented by Al-Salam Bank as a “model”. One of the most important tools used in the research is the questionnaire as a tool for obtaining information and data. In the field research, statistical analysis was used using the statistical program SPSS and in the quantitative study of the research topic. One of the most important results reached through the research, which shed light on the Islamic Bank of Algeria, “Al-Salam Bank as a Model.
Enhancing Consumer Retention, Satisfaction, and Purchasing Power on E-Commerce Websites through Smooth Interactions
No full textThe rapid evolution of e-commerce has necessitated the adoption of advanced web technologies to enhance user experience and drive consumer engagement. This study investigates the impact of smooth scrolling on consumer retention, satisfaction, and purchasing power by implementing Shery.js, GreenSock Animation Platform (GSAP) and Next.js in e-commerce websites. Smooth scrolling, characterized by fluid and seamless transitions, is hypothesized to reduce bounce rates and increase session duration, thereby enhancing overall user satisfaction and retention. GSAP's robust animation capabilities combined with Next.js performance optimization features are leveraged to create an engaging and responsive web environment. Through a comprehensive analysis of user behavior and feedback, this research aims to demonstrate that improved website aesthetics and performance can significantly influence consumer purchasing decisions. The findings suggest that integrating advanced animation and rendering technologies not only boosts the visual appeal of e-commerce platforms but also fosters a more satisfying and persuasive shopping experience, ultimately increasing consumer loyalty and sales
ENHANCING INDIAN MANUFACTURING EFFICIENCY IN 6G WITH NETWORK SLICING AND ADVANCED IIOT SOLUTIONS
No full textThis study presents a comprehensive approach to implementing 6G network slicing for Industrial IoT (IIoT), with a focus on optimizing resource allocation, enhancing performance, and ensuring security and reliability. The proposed architecture integrates SDN/NFV and IoT-driven controllers to enable dynamic and scalable network slicing tailored to industrial needs. Resource allocation emphasizes Quality of Service (QoS) and energy efficiency through compressed sensing and traffic reduction techniques. Dynamic slicing management adapts to real-time conditions with load balancing and failover mechanisms to ensure operational stability. Performance evaluations reveal substantial improvements in latency, throughput, and resource utilization compared to traditional approaches. Security protocols, including encryption and anomaly detection, effectively address threats, while redundancy and fault tolerance enhance system reliability. Data collection for this study involves insights from Siemens and Rockwell Automation, with Siemens providing SIMATIC systems and MindSphereIoT in India, and Rockwell Automation offering Allen-Bradley control systems and FactoryTalk analytics. The study employs Distributed Autonomous Network Slice Management (DANSM) on a 6G core-based testbed, demonstrating that 6G network slicing significantly improves communication efficiency, reduces energy consumption, and meets industrial QoS requirements under varying traffic and failure scenarios. The findings highlight that network slicing is a transformative approach for IIoT, supporting dynamic applications with superior performance and security
Sentiment Analysis Using Ensemble Machine Learning Techniques
No full textIn natural language processing, sentiment analysis is crucial, with applications ranging from customer feedback analysis to social media monitoring. This paper presents a comprehensive method for performing sentiment analysis using machine learning architecture and multiple preprocessing and feature selection strategies. Our methodology begins with the preprocessing of textual material. Combining Part-of-Speech (POS) annotation with Natural Language Processing (NLP) techniques allows us to gain insight into the syntactic structure of the text. In addition, we utilize WordNet, a lexical database, to enhance our understanding of word semantics and capture nuanced emotional expressions. We use Feature Reduction with Principal Component Analysis (PCA) to further enhance our feature set. PCA reduces the dimensionality of data while preserving essential information, making it an excellent tool for improving model performance. Regarding feature selection, we employ an Ensemble Feature Selection technique with Elastic Net regularization. For classification, we employ a Hybrid Machine Learning Classifier, which combines the interpretability of Decision Trees with the robustness of Random Forest techniques. The stacking and voting classifier performs to manage both linear and nonlinear correlations in the data, thereby enhancing the overall performance of sentiment classification
Intercultural Communication: Tolerance, Religious Moderation, and the Philosophy of Menyama Braya
No full textThe residents of Dalung Permai Housing display a peaceful and cohesive community, despite their diverse backgrounds in ethnicity, religion, and culture. This rich cultural variety does not hinder the growth of a multicultural environment in Dalung Permai, largely due to the collective awareness and understanding among its inhabitants. The philosophy of menyama braya is the local wisdom of the Balinese people adopted to maintain community harmony, supported by the role of intercultural communication to develop an attitude of tolerance so as to foster mutual respect and respect for others. Cultivating tolerance fundamentally fosters a mindset of moderation and enhances understanding of religious balance. This research employed a qualitative-interpretive approach, gathering data through detailed, conversational interviews based on the personal experiences of the participants. The technique of determining informants with purposive sampling and data analysis techniques using the Miles and Huberman model, namely data collection, reduction, and conclusion drawing. The outcomes of this research revealed that common obstacles to intercultural communication, such as language differences and stereotypes, are typical for the residents of Dalung Permai Housing as they navigate their process of self-adjustment. Language barriers will slowly disappear because in general residents use Indonesian in social interactions. Language barriers will fade in line with the individual's ability to adapt to the environment. Intercultural communication bridges the understanding of Dalung Permai Housing residents through primary and secondary communication approaches, so as to build tolerance and develop mutual respect and appreciation based on the philosophy of menyama braya. Harmonious tolerance will create religious moderation in intercultural interaction life
An Algorithm for Novel Clustering Wireless Sensor Network
No full textWireless sensor network (WSN) refers to a cluster of sensor nodes used for observing the physical conditions pf the environment such as temperature, pressure, humidity, moisture and other parameters. The sensors nodes form a network in the deployed area and monitor the conditions they are intended to perform. The collected sensor data is consolidated to arrive at conclusions for various decision-making process. In order to provide a centralized control to the network, the nodes are organized in to various clusters where each cluster will be assigned a cluster head. The member sensors in the clusters will collect the data and send the sensed data to the cluster head. The cluster head aggregates the sensed data and decisions are taken accordingly. This paper discusses about an energy efficient clustering algorithm for wireless sensor network
Ensemble-based Machine Learning Approach for Automated Software Defect Prediction
No full textIn the tech industry, ensuring software reliability is a critical concern for professionals, often addressed through traditional techniques that rely on prior experience or identifying faulty modules within an application. These methods can be time-consuming and may not always pre-emptively address issues. Automated software defect prediction models, driven by ensemble learning techniques, offer a proactive approach to significantly enhance a software's ability to predict and mitigate defects, leading to more efficient operation, reduced errors, and lower costs. This paper proposes a software defect prediction model based on ensemble learning methods, aimed at maintaining software functionality more effectively. Using established evaluation benchmarksincluding ten-fold cross-validation, precision, recall, specificity, F1 measure, and accuracyour study evaluates the performance of various machine learning algorithms: Ensemble Learning (EL), Decision Trees (DT), Naive Bayes (NB), Artificial Neural Networks (ANN), and Support Vector Machines (SVM). The results reveal that EL consistently outperforms other models with classification accuracy ranging from 98% to 100%, demonstrating its robustness and superior ability to balance precision and recall across diverse datasets (JM1, CM1, and PC1). Following EL, DT also performs strongly but with slightly lower accuracy, particularly in contexts where interpretability is crucial. NB and ANN show decent results but require careful tuning to achieve optimal performance, while SVM ranks lowest in this analysis. These findings underscore the importance of selecting and implementing appropriate algorithms based on the specific demands of software defect prediction tasks, with EL emerging as the most reliable and robust choice for enhancing software reliability
A Study on the Impact of Merger and Acquisition on Financial Performance of Selected Banks in India: Pre and Post – Merger
No full textThe system of banking in India is one of the major significant instruments of the development of nation, possesses a different spot in a country's economy. The purpose of the present paper is to investigate different thought processes of merger in Indian financial industry. The current paper looks at the effect of M and A on the monetary proficiency of above mentioned banks in India. This includes various aspects of bank mergers. It likewise thinks about before and after acquisition monetary execution of combined keeps money with the assistance of monetary boundaries. The paper thinks about the when performance after merger with selected Indian banks for a period of 2015-16 to 2022-23. In this research, the goal of the review is to examine and look at the pre and post-acquisitions monetary activities of five banks namely UBI, Indian Bank, PNB, Canara Bank, and BOB through various financial ratios and additionally the review includes investigation of performance utilising and improving the profitability with the merger, banks debt, current asset of the banks, non-performance asset and other overall financial position of the banks. Data were collected from the published annual report, money control website and analysed applied paired t-test through statistical package for social sciences (SPSS) for to know the effect of performance of banks merger. The information was being gathered for three and four years before and after the merger. There are a portion of the monetary activities have shown critical improvement during this period while the vast majority of the proportions have not shown huge improvement during this period. The system of banking in India is one of the major significant instruments of the development of nation, possesses a different spot in a country's economy. The purpose of the present paper is to investigate different thought processes of merger in Indian financial industry. The current paper looks at the effect of M and A on the monetary proficiency of above mentioned banks in India. This includes various aspects of bank mergers. It likewise thinks about before and after acquisition monetary execution of combined keeps money with the assistance of monetary boundaries. The paper thinks about the when performance after merger with selected Indian banks for a period of 2015-16 to 2022-23. In this research, the goal of the review is to examine and look at the pre and post-acquisitions monetary activities of five banks namely UBI, Indian Bank, PNB, Canara Bank, and BOB through various financial ratios and additionally the review includes investigation of performance utilising and improving the profitability with the merger, banks debt, current asset of the banks, non-performance asset and other overall financial position of the banks. Data were collected from the published annual report, money control website and analysed applied paired t-test through statistical package for social sciences (SPSS) for to know the effect of performance of banks merger. The information was being gathered for three and four years before and after the merger. There are a portion of the monetary activities have shown critical improvement during this period while the vast majority of the proportions have not shown huge improvement during this period
A Novel Approach to Secure Communication Protocols in IoT-Enabled Power Systems
No full textThe integration of Internet of Things (IoT) devices in power systems has revolutionized grid management and efficiency. However, this increased connectivity also introduces new cybersecurity vulnerabilities. This paper proposes a novel multi-layered encryption and authentication protocol for securing communications in IoT-enabled power systems. The proposed approach combines lightweight cryptography, blockchain-based key management, and anomaly detection using machine learning. Simulations demonstrate that the protocol achieves high security with low computational and communication overhead. Results show a 99.8% attack detection rate and 40% reduction in latency compared to existing methods. The findings suggest that the proposed approach can significantly enhance the security and reliability of smart grid communications