International Journal on Recent and Innovation Trends in Computing and Communication
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Enhanced Imputation Method Combining Single and Multiple Methods to Handle Missing Values in Microarray Data
Get PDFGene Expression Classification (GEC) is a modern healthcare approach for enhancing present medical practices by classifying patient’s gene structure to different types of cancer so as to provide effective and personalized treatments especially for all types of cancer. The GEC system aids medical practitioner in providing personalized treatments. The proposed GEC system assess the gene structure of a cancer patient through highly intensive computational intelligence technique named Genetic Algorithm (GA). In GA, the search space is composed of candidate solutions to the problem i.e. the collection of gene expression in the corpus, which is going to be used for training the computation model, which can further be used for testing new cancer patients in order to make accurate prediction about the presence of cancer cells. This will enable doctors to treat different cancer patients differently. In this proposed approach, each gene expression has been represented by a vector termed as chromosomes. In each generation, the chromosomes are selected randomly and fitness is evaluated. The probabilistic similarity function is used to estimate the fitness of the chromosome to predict the patient health condition. Experimental results show that the proposed approach works with relatively better accuracy compared to that of baseline approaches
Framework for Enhanced Ontology Alignment using BERT-Based
Get PDFThis framework combines a few approaches to improve ontology alignment by using the data mining method with BERT. The method utilizes data mining techniques to identify the optimal characteristics for picking the data attributes of instances to match ontologies. Furthermore, this framework was developed to improve current precision and recall measures for ontology matching techniques. Since knowledge integration began, the main requirement for ontology alignment has always been syntactic and structural matching. This article presents a new approach that employs advanced methods like data mining and BERT embeddings to produce more expansive and contextually aware ontology alignment. The proposed system exploits contextual representation of BERT, semantic understanding, feature extraction, and pattern recognition through data mining techniques. The objective is to combine data-driven insights with semantic representation advantages to enhance accuracy and efficiency in the ontology alignment process. The evaluation conducted using annotated datasets as well as traditional approaches demonstrates how effective and adaptable, according to domains, our proposed framework is across several domains
Enhancement of Photovoltaic Performance through Nano-Phased Materials and Thin Film Heterostructures in Solar Cells
Get PDFThe purpose of this research is to investigate the possibility of enhancing the efficiency of photovoltaic (PV) systems by incorporating nano-phased materials and thin film heterostructures into existing solar cells. As a result of the incorporation of these cutting-edge components, solar cells will perform more effectively overall, ultimately satisfying the need for energy sources that are more dependable and efficient. In the context of this study, nano-phased materials are important due to the unique features they possess, which have the potential to significantly improve the efficiency with which solar energy is converted. The use of nanomaterials in solar cells makes it possible to achieve a number of benefits, including greater light absorption, reduced electron-hole recombination, and improved charge carrier mobility respectively. The increased functionality of the photovoltaic system leads to a more efficient use of the sunlight that is flowing in, which in turn increases the overall power conversion efficiency of the system. As an additional benefit, the incorporation of thin film heterostructures into solar cells improves the use of nano-phased materials by boosting the charge transport channels that are present inside the cells. Thin films, when precisely integrated into heterostructures, provide efficient charge separation and collection, hence minimizing the amount of energy that is lost during the conversion process. Through the synergistic interaction of thin film heterostructures with nano-phased materials, it is possible to construct a solar cell that has improved performance characteristics. In addition to the fabrication of thin film heterostructures by the use of advanced deposition techniques, the research includes the meticulous analysis of a wide variety of nanostructured materials, including nanowires, nanoparticles, and nanotubes. A thorough analysis and comparison of the performance of these unique solar cell designs with that of traditional solar cells will be carried out. The results of this comparison will provide valuable new information about the possibility of this much enhanced technology being widely used. By bringing forth a novel approach to enhancing photovoltaic performance, the purpose of this study is to make a significant contribution to the ongoing efforts that are being made to enhance the technology that is used for renewable energy sources. A combination of thin-film heterostructures and nano-phased materials might make it feasible for future generations of solar cells to be powered in a manner that is both environmentally friendly and efficient in terms of energy consumption
Redefining Citizenship in the Digital Age: Understanding Smart Digital Census for Citizen's Population Data Collection and Analysis.
Get PDFA novel idea in population data gathering is the Smart Digital Census, which makes use of cutting-edge tools like mobile computing, cloud computing, and data analytics to improve the precision and effectiveness of conventional census methods. The traditional census method can be expensive, time-consuming, and inaccurate, and on the other end, the Smart digital censuses provide a practical, affordable, and precise alternative. This paper study tries to fully comprehend the smart digital census and how it differs from conventional census techniques. We'll start by outlining what a smart digital census is and why nations ought to implement it. The significant characteristics of the smart digital census are then highlighted, including real-time data collecting, increased accuracy, and lower costs. This article also examines how the Smart Digital Census might affect other fields like corporate intelligence, policymaking, and urban planning. Finally, the comparative advantage of the smart digital census over conventional census methodologies is highlighted in the paper's results, as how it will affect future data collection and analysis. Future research directions in this area are also covered in the paper
Impact of Business Skill Acquisition on Business Performance of Business Education Graduates in Nigeria
Get PDFThe researchers investigated the impact of business skill acquisition on business performance of business education graduates in Nigeria. Analytical survey design was adopted for the study involving 200 business education graduates with at least, 5 years of cognate practical experience in business using purposive sampling technique. The research questions were answered using percentages and frequencies while the hypotheses were tested using Chi-square statistics. The finding revealed that Business Education Graduates in Nigeria acquire business skills and also, the business skills acquired influence their business performance positively. The findings further revealed that the differences in the expected and observed business skills acquired by the business education graduates and the expected and observed influence of the business skills acquired on their business performance are significant at 0.05 level of significance. Based on the findings of this study, it was concluded that business education graduates in Nigeria acquired relevant business skills such as management skills, business plan and project development skills, problem-solving skills, innovation and creativity skill, accounting and record keeping skills, customer loyalty and retention skills, among others. These skills have significant positive improvement on the skills expected of them. More so, the skills are evidently seen in the business performance of business education graduates as indicated by the results from the analyses and findings. Based on the findings, it was recommended that adequate empowerment for business expansion in area of material resources and legal support should be granted to business education graduates by the Federal, State and Local Government to encourage total diligent and full commitment in business establishment and growth.
Secure Algorithm Using Encoding, Mathematical Key Generation and Redundancy in Cloud Computing
Get PDFThis research paper explores the design and implementation of a customized encryption algorithm tailored to meet the unique security challenges of cloud computing environments. We discuss the algorithm's structure, customization options, and its potential benefits in enhancing data security within cloud-based applications. We introduce a tailored encryption algorithm that incorporates encoding, mathematical key generation and redundancy bits techniques to optimize data security, integrity, and efficiency within the cloud. A secure enhanced algorithm is developed. Customized encoding methods are employed to enhance data representation and facilitate efficient encryption and decryption. This includes the conversion of data into binary format for subsequent encryption. Redundancy bits are introduced into the encryption process to provide error detection and correction capabilities. The integration of these bits ensures data integrity, particularly during data transmission and storage. Random key is generated using Mathematical function. Experimental results demonstrate the algorithm's performance in terms of encryption and decryption times, file size comparisons, and data integrity measurements. Proposed Algorithm shows encryption time does not increases if the size of file bit increases. It increases only when size increases too much. It shows that encryption time is zero when size is small. With the increase of size decryption time also increases. When proposed algorithm is compared with traditional algorithm it takes less time. than RSA. However, encryption time and decryption time also depends on performance of system. Results may be differed. A novel algorithm is developed to improve the security of cloud computing. It has adopted three levels: the first level uses the Encoding Techniques. In second level: Redundancy bits are introduced Random key is generated using Mathematical function logical-mathematical functio
Fostering Effective Human-AI Collaboration: Bridging the Gap Between User-Centric Design and Ethical Implementation
Get PDFThe synergy between humans and artificial intelligence (AI) systems has become pivotal in contemporary technological landscapes. This research paper delves into the multifaceted domain of Human-AI collaboration, aiming to decipher the intricate interplay between user-centric design and ethical implementation. As AI systems continue to permeate various facets of society, the significance of seamless interaction and ethical considerations has emerged as a critical axis for exploration.
This study critically examines the pivotal components of successful Human-AI collaboration, emphasizing the importance of user experience design that prioritizes intuitive interfaces and transparent interactions. Furthermore, ethical implications encompassing privacy, fairness, bias mitigation, and accountability in AI decision-making are thoroughly investigated, emphasizing the imperative need for responsible AI deployment.
The paper presents an analysis of diverse scenarios where Human-AI collaboration manifests, elucidating the impact on various sectors such as education, healthcare, workforce augmentation, and problem-solving domains. Insights into the cognitive augmentation offered by AI systems and the consequential implications on human decision-making processes are also probed, offering a comprehensive understanding of collaborative problem-solving and decision support mechanisms.
Through an integrative approach merging user-centric design philosophies and ethical frameworks, this research advocates for a paradigm shift in AI development. It underscores the necessity of incorporating user feedback, participatory design methodologies, and transparent ethical guidelines into the development life cycle of AI systems. Ultimately, the paper proposes a roadmap towards fostering a symbiotic relationship between humans and AI, fostering trust, reliability, and enhanced performance in collaborative endeavors.
This abstract outline the scope, key areas of investigation, and proposed outcomes of a research paper centered on Human-AI collaboration, providing a glimpse into the depth and breadth of the study
Latest Trending Techniques and ML Models for Big Data Analytics - A Review
Get PDFAs businesses increasingly rely on Big Data for decision-making, understanding cutting-edge methods is crucial. This review synthesizes recent advancements, highlighting the most impactful techniques and ML model algorithms are essential for analyzing and drawing insights from vast amounts of data. This research paper explores the latest techniques and ML algorithms used in big data analytics, including deep learning, neural networks, and decision trees. The challenges of big data analytics are discussed along with how these techniques can help overcome them. Real-world examples of how these techniques have been used in big data analytics are also provided
Potential Role of ICTs in Social Development
Get PDFThe use of internet can be used to make a difference in a few ways, including through click-through donations to charities, education, community service, signing online petitions, and information retrieval. The primary goal of this paper is to investigate the relational repercussions of online platforms. To concentrate on the social ramifications of web-based business and other Information technology-empowered innovations in an efficient way, hardly any regions have been chosen Another term for particular topics of societal importance could be: especially those that are of significant societal relevance? Additionally, the negative effects of the influence of online platforms and IT on societal dynamics have been investigated to support the actual impact of e-commerce on society. Conclusions are offered at the section's conclusion
An Analysis of Efficient and ECO- Friendly Green Cloud Computing Techniques
Get PDFA more noteworthy exertion is expected to build the electrical energy effectiveness of cloud server farms because of the rising interest for distributed computing administrations welcomed on by computerized change and the high versatility of the cloud. This study proposes and surveys an energy-Efficient (EE) system for expanding the adequacy of electrical energy use in server farms. The recommended engineering depends on both the booking of solicitations and the union of servers, rather than depending on just a single system, as in past works that have proactively been distributed. Prior to planning, the EE structure sorts the solicitations (errands) from the clients as per their time and power prerequisites. It has a planning calculation that settles on booking choices while considering power utilization. Furthermore, it includes a combination calculation that recognizes which servers are over-burden, which servers are under stacked and ought to be made it lights-out time or sleep, which servers ought to be moved, and which servers will acknowledge relocated servers. A relocation component for moving relocated virtual machines to new servers is likewise essential for the EE system. Aftereffects of recreation preliminaries show that, concerning power use effectiveness (PUE), data centre energy productivity (DCEP), normal execution time, throughput, and cost investment funds, the EE system is better than approaches that depend on utilizing just a single way to deal with decrease power use