Volume 12 | Issue 7 |

 Abstract

This paper seeks to examine the relevance of The Metamorphosis by Franz Kafka as it relates to alienation, identity, and existential angst in order to connect it with some of the main contemporary social problems of mental health, digital isolation, and the gig economy. In synthesizing these classic literary analyses with modern standpoints, it brought out precisely the potential of this novella for enlightening people of today regarding the stake of complexities and psychological issues at stake. The study underlines the timelessness of Kafka's work by showing how its themes still echo and give critical insight into contemporary problems, thus deepening the understanding of the human condition and the impact of societal structures on personal identity and well-being.

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 Keywords

Franz Kafka, The Metamorphosis, Alienation, Identity, Existential Angst, Mental Health, Digital Isolation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The theoretical underscores the potential perils presented by programmers and gatecrashers, as well as the inborn security weaknesses associated with IoT hardware. IoT gadgets might be mishandled in light of their interconnectedness, especially through abnormality assaults. To distinguish strange assaults in IoT gadgets, the venture proposes utilizing AI techniques, including SVM and Random Forest (RF), stacking classifier, and voting classifier [2, 7, 8, 9, 10, 11, 12]. These strategies were utilized on the grounds that they function admirably for both element determination and discovery. The NSL-KDD dataset in arff design is utilized in the review for trial and error. The picked techniques, stacking classifier and RF, have magnificent precision paces of around. Accentuation is put on bogus positive rates, which show a low rate in all cases. The uplifting aftereffects of the proposed approach are featured, particularly the expanded exactness accomplished utilizing random forests when stood out from past exploration. The expected adequacy of the stacking classifier and Random Forest in identifying and relieving abnormal attacks in IoT gadgets is exhibited by their reassuring exactness, review, and accuracy. Furthermore, there are troupe moves toward that join the forecasts of a few unique models to get a last expectation that is more dependable and exact. These incorporate the Voting Classifier (RF + AB) and the Stacking Classifier (RF + MLP with LightGBM). Whereas the Voting Classifier achieved 100% accuracy and the Stacking Classifier 100% accuracy, we likewise developed the front end with client confirmation for IoT abnormality discovery and client testing using the flask system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IOT devices, Support Vector Machine (SVM) and Random Forest (RF).

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Creative Commons Attribution 4.0 and The Open Definition

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The development and maintenance of institutional repositories are crucial for academic and research institutions to manage, preserve, and disseminate their digital content. Free and open-access software options provide cost-effective solutions while offering robust features and community support. This research study provides an overview and examines of several prominent open-source software platforms used for developing institutional repositories, including DSpace, EPrints, Fedora Commons, Invenio, Islandora, Greenstone, Samvera, DSpace-CRIS, and Archivematica. The Each software has various pros and cons, In the present research article is discussed for DSpace software in terms of its key features, customization and extensibility, community support, scalability, metadata and standards support, and integration capabilities. The selection of an appropriate platform depends on the institution's specific needs, technical capabilities, and long-term goals. The study aims to explore about technical need and support for implementation of the DSpace Open Source Software which supports and guide institutions, library and information science professionals in making informed decisions about the software that best fits their repository requirements.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Institutional Repository, Open-Source Software, Digital Content Management, Digital Preservation, Metadata Standards, Digital Asset Management, Hardware and Software Requirement.

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Creative Commons Attribution 4.0 and The Open Definition

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Music genre is a classification system that classifies music into different types. The classification of music genre is very important to make a selection of songs from a large collection of data. Different features have been extracted as it is essential for the genre classification. We use convolution neural networks to classify music genres. The project aims to create an automated system for classification models of music genres. We use the most publicly used data set which is GTZAN for evaluation of music genres. It contains 10 genres (blues, classical, country, disco, hip-hop, jazz, metal, pop, reggae, rock). The audio file is sent as input and the classification is done. CNN is used to classify the data furthermore.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Music Genre Classification, Machine Learning, Audio Processing, Feature Extraction, Convolutional Neural Networks (CNN), Genre Detection, Audio Signal, Music Dataset (e.g., GTZAN, FMA), Audio File Formats (e.g., MP3, WAV), Signal Processing.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper conducts a thorough analysis of the opportunities and challenges associated with online businesses in the context of the rapidly advancing technology and widespread use of the internet (Smith, 2021). The study explores various opportunities, including global market reach, cost-effectiveness, enhanced customer engagement, and increased flexibility, while also addressing challenges such as intense competition, security risks, trust and reputation management, regulatory compliance, and technological dependencies (Jones et al., 2020). Through a systematic review of literature and empirical data, the paper provides valuable insights for entrepreneurs, policymakers, and academics interested in understanding the dynamic landscape of online business.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

online business, e-commerce, digital marketing, challenges, opportunities

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Now a days we are facing the serious problem of global climate change, ozone layer depletion, acidic raining, air, water and noise pollution, soil erosion, deforestation, loss of biodiversity etc. it is indeed necessary to conserve our biological diversity for peaceful living and for further fair and equitable share in benefit of natural resources. To overcome the serious issues stated above we need ethical conduct and moral behaviour in our personal life as well as in our business life too. Especially in a business ethics like accountability and transparency, respect to human dignity and privacy, truthfulness, producing and selling healthy and hygienic product, avoiding discrimination among people on the basis of gender, caste and religion, charging unfair prices, avoiding artificial scarcity of product, providing healthy and hygienic atmosphere at workplace avoiding all kind of pollution etc. are very helpful to all the stakeholders of business word.

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Creative Commons Attribution 4.0 and The Open Definition

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Business Ethics, Business Stakeholders, Human Behaviour, Moral Slandered, Environmental Issues, Health and Hygiene. Human Wellbeing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Weeds are one of the most important factors affecting agricultural production. Farmers often experience a bad agricultural yield as a result of weeds. It is becoming more and more clear that full-coverage chemical pesticide spraying pollutes and wastes farming ecosystems. Accurately identifying crops from weeds and obtaining precise spraying exclusively for weeds are crucial given the ongoing increase in agricultural production levels. With the continuous improvement in the agricultural production level, accurately distinguishing weeds from crops and achieving precise spraying only for weeds is important. However, precise spraying depends on accurately identifying and locating weeds and crops. Scholars have employed a variety of techniques to do this in recent years. In this project YOLO (You Only Look Once) v5 model was used to train the data set of the crop images along with the weed. The data set consists of images along with the labeled data of the weed. After the training was finished and the model was formed, we used StreamLit to establish a website where users could post pictures and videos to help identify weeds.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Yolov5, CNN algorithm, weed detection, object detection, agriculture automation, machine learning, dataset preparation, precision farming, image analysis, autonomous farming, computer vision

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This Human Computer Interaction (HCI) has become one of the important projects in this new era and technology. In today's digital age, the interaction between humans and computers continues to evolve beyond traditional input devices like keyboards and mice. This project proposes a novel approach to computer interaction through hand gestures, specifically aiming to control the cursor on a screen without physical contact with any device. The system utilizes computer vision techniques, primarily leveraging a webcam to capture and interpret hand movements in real-time. Key components of the system include hand detection, gesture recognition, and cursor control algorithms. Hand detection identifies the presence and position of hands within the camera's field of view. Gesture recognition algorithms then classify specific hand gestures, translating them into commands such as moving the cursor in different directions, clicking, or scrolling. These gestures are predefined and mapped to corresponding actions in the graphical user interface (GUI).The project's implementation involves using Python and libraries like OpenCV for computer vision tasks, ensuring compatibility across different operating systems. The system's performance is evaluated based on accuracy in gesture recognition, real-time responsiveness, and user experience in controlling the cursor solely through hand gestures.

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Creative Commons Attribution 4.0 and The Open Definition

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Hand gesture recognition, Human-computer interaction, Cursor control, Gesture-based interaction, Real-time systems, OpenCV

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: The current study reports an assessment of Lepidopteran fauna on rabi crops in an agro-ecosystem of the Jhunjhunu district, Shekhawati region of North-east Rajasthan conducted during the winter season (Nov.2022 to March 2023). A total of 54 species from 12 families were recorded. The Noctuidae family was the most species-rich with 13 species, followed by Lycaenidae with 11 species, Pieridae with 8 species, Crambidae with 6 species, Erebidae and Nymphalidae with 4 species each, Papilionidae and Gelechiidae with 2 species each, and Hesperiidae, Geometridae, Scythrididae, and Plutellidae with 1 species each. In terms of abundance, 1,111 lepidopteran insects were collected. Lycaenidae was the most abundant with 432 individuals, followed by Noctuidae with 242, Pieridae with 150, Nymphalidae with 85, Crambidae with 78 , Papilionidae with 41, Erebidae with 40, Geometridae with 24, Gelechiidae with 8, Scythrididae with 7, and Hesperiidae and Plutellidae with 2 individuals each. Understanding key species and their seasonal distribution can help develop conservation strategies to promote sustainable agricultural practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Species, Biodiversity, Lepidoptera, Rabi crops, Winter season

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ultimate aim of education is to equip the students with knowledge and make them successful in their The Modem education system strives to make the students employable to succeed in getting right placement. But the recent sur veys shows clearly the bitter truth that only less than 19% graduates are employable, remaining students are lagging behind particularly because of their poor communicative skills. It is crystal clear that vocabulary plays a vital role in effective communication skills. So this article highlights the strategies to develop vocabulary with a practical approach.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

APPROACHING PRACTICAL VOCABULARY OF ENGLISH ENRICHMENT

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Creative Commons Attribution 4.0 and The Open Definition