Volume 12 | Issue 3 |

 Abstract

Rice cultivation with ducks possibly offers biological assistance ,and efficient control of weeds. Present research was conducted to trace the the viability of coordinating duck in rice cultivation for controlling weed pervasions and their effects on efficiency and economic output of the framework. Examination on variety of weeds showed that lush weeds (Echinochola colona, Echinochola crusgalli) and sedges (Cyperus difformis, Cyperus iria, Fimbristylis miliaceae) were predominant in rice during tillering stages, while broad leaved weeds (Ludwigia adscendens, Sphenoclea zeylanica) and aquatic weeds (Marsilia quadrifolia, Hydrilla verticillata) were abundant during dynamic tillering and panicle commencement phases of rice. For two years in a row, field research was done at the experimental farm of Bharath University to trace the impact of duck integration in the transplanted rice crop. The purpose of the experiment was to trace the impact of duck integration performed in three different scenarios: duck herding in puddled fields, duck herding in transplanted fields, and duck herding in both transplanted and puddled fields. The field study was set up using a split plot design with three sub treatments that were replicated three times. All of the treatments utilizing different duck integration techniques led to significantly higher grain and straw yields as well as corresponding reductions in weed metrics attribute to the interactions that result from herding ducks. Duck herding under all procedures involving diverse duck integration techniques dramatically boosted grain and straw yield while concurrently lowering weed characteristics. The interactions that result from herding ducks, the overall weed population was lowered by the combined effects of duck herding in cropped and puddled conditions, cono-weeding, and one-handed weeding, recording 5.77 and 5.67 per m2 during I and II season, respectively. Similarly crop DMP, grain yield and straw yield increased by 15.03 t ha-1, 4.34 t ha-1, and 7.29 t ha-1 during the first season, and 15.3 t ha-1, 4.88 t ha-1, 7.58 t ha-1 during the second season respectively due to duck integration in rice production

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 Keywords

: (Cono weeding, growing rice, duck herding, , grain yield, straw yield and weed control.)

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 Abstract

Modern multilingual customer care systems are in high demand due to the world's growing interconnectedness. This study examines how generative artificial intelligence (generative AI) can be used to solve the problems associated with delivering smooth and efficient customer support in a variety of linguistic environments. Our suggested system intends to transform consumer interactions by integrating advanced language models, such as contextual understanding and translation capabilities. This paper explains the architectural details of our all-inclusive multilingual assistance system and provides an overview of its features, advantages, and practical uses. The study sheds light on the paradigm shift in the dynamics of customer assistance and highlights the contribution of generative AI to the development of a service environment that is both linguistically inclusive and responsive to global needs.

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 Keywords

Language translation, Contextual understanding, Sentiment analysis

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 Abstract

This study explores emotion recognition in speech using Long Short-Term Memory (LSTM) networks on the Toronto Emotional Speech Set (TESS) dataset. Mel-frequency cepstral coefficients (MFCC) features are extracted, and an LSTM model is trained with a specific architecture, including Rectified Linear Unit (ReLU) and Linear activation functions in dense layers to get the membership of an audio sample in all the 7 labels and also compare them.The compiled model, utilizing mean squared error as the loss function and the Adam optimizer, achieves a training accuracy of 99% and a validation accuracy of 100%. Notably, our approach includes feature membership analysis, providing insights into the contribution of individual features to each emotion label.This comprehensive analysis demonstrates the efficacy of the proposed LSTM architecture in accurately identifying emotional states in speech, while the feature membership analysis adds a nuanced layer of interpretability to the model's predictions. The success of our approach suggests potential applications in emotion-aware technologies and interactive systems.

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 Keywords

Speech Emotion Recognition, Emotive Speech dataset, Audio data Visualization, MelFrequency Cepstral Coefficients, Feature Extraction, Long-Short Term Memory Neural Network, Emotion Classification, One Hot Encoding, Loss and accuracy matrices, Prediction Probabilities, Emotion identification, Virtual Assistants, Mental Health Screening, Computer-Human interaction

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This essay presents the current innovation, which pertains to smart sole shoes for correcting human posture, consists of a microprocessor inside the sole compartment and a sole with an upper and lower sole. The sole of the shoe may have a vibrator and several weight pressure sensors positioned inside. As a result, while the user is wearing the shoe, the multiple pressure sensors continually gather pressure from all of the weight pressure locations on each foot. The vibrator alerts the user that they are exerting extra pressure on a specific foot when the pressure stays above the threshold value for a predetermined amount of time.

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 Keywords

Arduino ESP-32, Pressure Sensors, Vibrators, Smart Sole, Posture Correction.

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 Abstract

Fossil fuels are currently the primary source of energy needed by the planet. The hunt for renewable, less harmful energy sources has been fueled by the world's rapidly increasing need for energy and the carbon dioxide emissions that come with using fossil fuels. Among them is regarded as ethanol. It is really regarded as one of the best biofuels for transportation since it can be mixed with gasoline or burnt straight to increase fuel combustion in cars, which lowers CO2 emissions and lowers atmospheric gasses. As a result, research has shifted to the creation of increasingly sophisticated technologies in order to achieve energy sustainability and reduce greenhouse gas emissions. These factors led to the development of two additional production techniques that concentrate on the fermentation of cellulose and hemicellulose mostly from second-generation agricultural wastes and third-generation algae. The facts on the possibilities and applications of producing bioethanol from first, second, and third generation feedstock have been critically analyzed and presented in this chapter.

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Ethanol, petrol

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Abstract This article explores the potential benefits of mindfulness-based treatments, acceptance and commitment therapy (ACT), compassion-focused therapy (CFT), and cognitive-behavioral therapy (CBT) for married couples seeking to improve their mental health and resilience. The usage of the therapies may help couples become more self-aware, self-compassionate, empathic, communicative, and problem-solving-capable. They may also assist people in developing coping mechanisms to deal with challenging emotions and circumstances. Yet, the effectiveness of these treatments will depend on a person's characteristics, such as their level of sadness or interpersonal problems, as well as their cultural background. In order to best serve each couple's needs and objectives, interventions should be customized. The efficacy of the therapy can be increased by collaboration in its creation and through continual evaluation and monitoring of the outcomes.

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Mindfulness-based interventions, cognitive-behavioral therapy, married couples, mental health, and resilience

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 Abstract

The Multiple Camera Network (MCN) paradigm revolutionizes visual data capture through strategically positioned interconnected cameras. Deployed in sectors like security, cinematography, and research, MCNs offer panoramic insights. The abstract explores vital MCN components, encompassing synchronization, data fusion, and real-time processing. It sheds light on applications like crowd monitoring, 3D reconstruction, and immersive video production. Despite challenges like calibration and computational needs, the grid-organized MCN excels in synchronized data capture. Surveillance benefits from PTZ and smart cameras, enhancing control and coordination. Object tracking in surveillance hinges on feature extraction and background subtraction, with increasing interest in video surveillance. Embracing edge computing and AI, MCNs gain on-the-fly analysis and predictive modeling. The abstract concludes, highlighting MCNs' adaptability and scalability, positioning them as pivotal in reshaping surveillance and imaging standards from security to entertainment.

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grsxgrx

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Abstract: This paper explores the profound social reforms and contributions of Savitribai Phule to the advancement of women in Indian society. Born on January 3rd, 1831, in Naigaon village, Maharashtra, Savitribai Phule, along with her husband Jyoti Rao Phule, dedicated themselves to empowering women, particularly those from marginalized communities. She staunchly advocated for women's education, viewing it as a powerful tool to combat social discrimination. Through her pioneering efforts, she laid the foundation for significant societal change. She started teaching girls in Pune and fought off those who opposed girl education at that time.

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Key words: Savitribai Phule, Social Reforms, Women Education Development, Indian Society.

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 Abstract

Wireless communication technology integration is necessary for internet of effects grounded operations to make their data fluently accessible. This design proposes a new, portable L- Shaped microstrip patch antenna with enhanced gain for IoT 3.6 GHz Industrial, scientific and medical (ISM) operations. The antenna design is simply comprised of an L-shape Strip line, with a full ground applied in the back side and integrated with a bitsy blockish niche, with increased bandwidth and lower number of base stations, and it's multi barred for multiple operations. This antenna designing and simulation have been performed by using CST software.

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ISM Applications, IoT Applications, CST Software, Multi-banded

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Dillip Behera, however, as a devoted Sadhaka, has tried to paint the inner world in his own style. There has been a drastic change in human life in recent times. Impact of Globalization Rapid development of information and technology has made human life style more efficient. The dream of a person dreaming of money, power, lust for luxury has created meaning in him. The progress of science is making man stronger. Human intelligence is completely destroying conscience. Leaving a painful life for future generations. The human race is drowning in inconsistency. Considering the range of fiction, Dillip Behera seems to have experimented with creating a masterpiece. Today's man is in a strange situation, the social environment in which he lives must shape his personality. But the thought and imagination through which his consciousness arises is universal. So he has drawn the empire of his words by coordinating with the world consciousness. So his speech is everywhere from navel to navel. His speech is elaborated with a noble style and a changing consciousness.

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 Keywords

Poet biography, Explanation of The story, Social Image, Picture of Rural Society, Superstition, Image of politics, Image of casteism, Love Picture

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Creative Commons Attribution 4.0 and The Open Definition