Volume 12 | Issue 5 |

 Abstract

Solar desalination has gained significant attention in recent years as an effective solution to address the global water scarcity problem. This paper presents a performance evaluation of a solar desalination prototype for treating seawater/brackish water. The prototype is designed to operate using low-cost materials and simple techniques, making it suitable for small-scale and remote areas. The system consists of a basin for water storage, a solar collector for heat absorption, and a condenser for water vaporization and condensation. The evaluation was conducted in the field under different weather conditions and feedwater salinities. The results show that the system was able to produce high-quality freshwater at a low cost, with an average production rate of 3.5 litters per day. The system performance was affected by the feedwater salinity, solar radiation, and ambient temperature, with higher production rates observed during sunny days with low salinity water. The prototype efficiency was evaluated using key performance indicators such as the daily solar energy input, the daily freshwater production rate, and the solar-to-water conversion efficiency. The results demonstrate that the solar desalination prototype achieved a high solar-to-water conversion efficiency of 70%, indicating its potential as an effective solution for treating seawater/brackish water in remote and arid areas. Overall, the performance evaluation of the solar desalination prototype presented in this paper provides valuable insights into the system potential for sustainable water production.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar desalination, Seawater, Water scarcity, Freshwater production rate

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wireless communication systems have become an essential part of our modern society, enabling a wide range of applications in fields such as entertainment, commerce, healthcare, and safety. The emergence of fifth-generation (5G) wireless systems and the ongoing development of sixth-generation (6G) networks underscore the growing significance of Artificial Intelligence (AI) and Machine Learning (ML) in the evolution of future wireless technologies. This paper offers a comprehensive overview of the changing landscape of wireless systems, with a special emphasis on the incorporation of ML techniques in 6G networks. We introduce a conceptual framework for 6G and explore the application of ML techniques across various layers of this framework, including the physical, network, and application layers. We delve into both classical and modern ML methods such as supervised and unsupervised learning, Reinforcement Learning (RL), Deep Learning (DL), and Federated Learning (FL), discussing their relevance in the context of wireless communication systems. Furthermore, we highlight potential future applications and research challenges in harnessing ML and AI to propel the progress of 6G networks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Artificial Intelligence, Federated Learning, Deep Learning, Sixth Generation (6g) Network, Fifth Generation (5g).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Chronic kidney disease (CKD) poses a significant global health challenge with profound morbidity and mortality rates, often leading to the onset of other ailments. Its asymptomatic nature in early stages underscores the importance of timely detection to initiate prompt treatment and mitigate disease progression. Machine learning models offer a promising avenue for achieving this objective owing to their rapid and accurate recognition capabilities. In this study, we present a machine learning framework for CKD diagnosis, utilizing a dataset sourced from KAGGLE, renowned for its comprehensive medical datasets albeit with numerous missing values. Employing mean imputation for numerical features and mode imputation for categorical features, we address the issue of missing data commonly encountered in real-world medical scenarios. Subsequently, four machine learning algorithms - Logistic Regression, Support Vector Machine (SVM), Random Forest Classifier, and Decision Tree Classifier - are employed to develop predictive models. Among these, Random Forest emerges as the top performer, demonstrating superior accuracy in CKD diagnosis. This study highlights the efficacy of machine learning in facilitating early CKD detection, thereby enabling timely interventions to alleviate its progression and improve patient outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CKD Diagnosis,Kaggle Dataset,Machine Learning Algorithms,Logistic Regression,Support Vector Machine,Random Forest Classifier,Decision Trees.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the increased demand for agricultural production, there is a greater need for novel technology to assist farmers in the early identification and classification of plant leaf diseases. Computerised imaging technology has promise in this area, as it allows for the rapid identification and categorization of diseases affecting plant leaves. Unchecked illnesses can have a major impact on crop production quantity and quality, hence timely detection is critical. In agricultural contexts, many leaf diseases can develop and harm crops. Using modern image processing techniques including as segmentation, feature extraction, and classification provides a quick, dependable, and precise way for detecting and categorising leaf diseases. This study gives a thorough assessment of current research on leaf plant disease detection and classification using image processing techniques. We look at critical steps of the process, such as image acquisition, pre-processing, segmentation, feature extraction, and classification, using the work of many authors. By combining findings from various studies, we hope to provide agriculturists with useful tools and approaches for improving disease management procedures in the agriculture sector. Our review highlights the potential of deep learning technologies to revolutionise disease detection and classification, allowing farmers to make more informed decisions and reduce the impact of plant leaf diseases on agricultural production.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Imaging Technology, Segmentation, Feature Extraction, Leaf Disease Classification

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Talent Management is a human resource management strategy that many organizations follow in order to retain staff for a long period of time. It is defined as the process of procuring talented employees, preparing them to move to higher positions, assessing and managing their performance and preventing them to leave the organization. The main focus of the study is to analyze the relationship between talent management and the organizational performance and also to suggest the ways of retaining effective talent in the organization for long run sustainability and growth of the company. For this a well designed questionnaire is used and data is collected from both primary and secondary sources. The sample size is 150 employees from various software companies located in Trichy city. For this study convenience, sampling technique is used and data is analyzed with the help of statistical tool like percentage analysis, chi square are used. The findings of the study include that talent management practices have positive impact on organizational performance. In order to retain talented employees organizations need to focus on learning and development initiatives for the employees and also career enhancement opportunities should be provided that ultimately improves organizations productivity and performance.

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 Keywords

Talent management, Importance of talent management, productivity and performance, career enhancement opportunities.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the creation of eco-bricks using construction and demolition waste (CDW) ash, waste foundry sand, and other waste materials. The primary objective was to determine the properties of the modified eco-bricks and compare them with traditional bricks. Additionally, the study aimed to identify the optimal ratios of waste materials for brick production. Specimens were cast and cured following conventional techniques, with varying proportions of CDW (10% and 20%), foundry sand (10%, 20%, 30%, 40%, and 50%), and sludge (10%, 20%, 30%, 40%, and 50%). After 28 days, the specimens were tested for water absorption, dry weight, and compressive strength. The results demonstrated that the modified eco-bricks had comparable properties to regular bricks and exhibited satisfactory performance characteristics.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Construction And Demolition Waste, Foundry sand, Compression, Water absorption, Eco-Bricks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Man, after all, is the child of the time and prisoner of his experiences. The contemporary stream of thought casts a great impact on the thought process of man. Examination of the contributions of Mahatma Gandhi seems necessary in view of the political and materialistic transformation of the modern world and the prevalence of ethical bankruptcy of the general masses due to growing materialism, progress of education and undue stress on physical well-being. Advance of Science and its sinister daughter technology has brought humanity and human values to stand nearer to the brink of total destruction. Concentration of power in the hands of a small minority whether in the field of Economics or politics leads to increase so many problems, as problems beget further problems. Forces are released that make each war the preamble to another and more devastating wars. The only consequence of war today is to enhance the impulse of revenge and retribution. The processes of change made the world much different from what it was in the early decades of the twentieth century. The explanation for this tragic paradox lies in the contradiction between the ends and means that characterizes the present age. "The wars of Liberation are becoming wars of annihilation". In this connection, Gandhiji showed us one of the ways of breaking this vicious circle for resolving the mounting tensions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Democracy , ideal, political view, state, classless society .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aim of this work is to formulate and evaluate an herbal face pack for glowing skin by using natural herbal ingredients. The natural herbal ingredients such as multani mitti, turmeric, sandalwood, saffron,milk powder, rice flour, orange peel were purchased from local market in the form of dried powder. The powder of banana peel was prepared by shade drying commercially, all powdered natural ingredients were sieved using #120 mesh, weighed accurately and mixed geometrically for uniform formulation and then evaluated for parameters including morphological, physicochemical, physical, phytochemical, irritancy along with stability examination. Thus, in the present work, we formulated aherbal face pack which can be easily made with the easily available ingredients. After evaluation, we found good properties for the face packs, free from skin irritation and maintained its consistency even after stability storage conditions. Results of the study scientifically verified that herbal face pack having enough potential to give efficient glowing effect on skin. The overall study is useful to substantiate product claims due its useful benefits on the human beings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal Face pack, Skin, Natural Formulation, Herbal Remedies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: "Citizenship is the chance to make a difference to the place where you belong." - Charles Handy On the Month of 11th December 2019, The Citizenship (Amendment) Bill was passed by a majority of 125 lawmakers of the Parliament. It becomes Act in January 2022, known as the Citizenship (Amendment) Act or CAA. The core resolution of this Act was to bring amends to the Citizenship Act of 1955 and to grant Indian Nationality to those persons from Sikh, Buddhist, Jain, Parsi, Hindu, and Christian strict minorities, except Muslims, who had escaped exploitation or abuse before December 2014, from Bangladesh, Pakistan, and Afghanistan. However, many other lawmakers and like-minded public condemn and criticize the decision taken by the Ruling NDA Government and Parliament alleging an anti-Muslim prejudice. Many peaceful and violent protests have taken place across the Nation against the CAA passage in the Parliament, and no doubt it violates the principle of "secularism" enshrined in the Indian Constitution and other Fundamental rights conferred by the Constitution of India. The researcher delved into the evolution of the CAA, its current status of the Act and a comparison between the existing laws, its needs, issues, impact, and relevant judgments on the subject matter.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Citizenship (Amendment)Act, secularism, biases, discrimination, Indian Constitution, National Registration of Citizen

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the real world, we can see that sharing documents and data is quite difficult, requiring significant time to communicate efficiently study or run a business. Cohesive Connect chat software is a team collaboration tool that allows direct and indirect communication as well as group creation. Cohesive Connect is available for Both Ios and Android as well as for windows user. As a result, we would like to demolish our proposal to integrate communication technologies for educational purposes. Cohesive Connect can be easily incorporated into workflows and populated by users with great efficiency to meet purposeful communication needs at businesses, colleges and health centers. Keywords- Document sharing, unified communications technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

communication and collaboration platform for teams to stay connected and work together seamlessly.oTarget User Persona: Small to medium-sized businesses looking for a user-friendly communication tool to streamline team collaboration.oUser's Pain Points to Solve:oFragmented communication across multiple platforms.oInefficient collaboration leading to project delays.oLack of centralized location for team interactions.oMain Value Propositions:oCentralized communication hub for team collaborati

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Creative Commons Attribution 4.0 and The Open Definition