BITS Faculty Publications

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    Generative AI for Industry 5.0: Analyzing the impact of ChatGPT, DALLE, and Other Models
    (IEEE, 2024-05) Chamola, Vinay
    This study delves into the burgeoning domain of Generative Artificial Intelligence (GAI) within the context of Industry 5.0 (I-5.0), highlighting the pivotal role of advanced GAI models such as ChatGPT and DALL-E in transforming manufacturing and industrial processes. The paper scrutinizes the multifaceted use-cases of GAI, emphasizing its instrumental function in amplifying operational efficiency, minimizing downtime, and fostering economic savings through predictive maintenance and acute real-time data analytics. With a focus on the digital transformation era, the research elaborates on the substantial opportunities GAI presents for enterprises to refine their production methodologies, enhance supply chain management, and elevate consumer interactions, thereby driving growth and innovation in the digital landscape. Addressing the full potential of GAI within I-5.0, the paper also engages with the imperative to carefully assess the ethical and technical conundrums that emerge, particularly within the sensitive framework of I-5.0. Ethical challenges, including issues of privacy and the necessity for unbiased AI-driven decisions, are explored, alongside technical obstacles such as data fragmentation and the safeguarding of sensitive information. Through a detailed examination of several GAI applications in I-5.0 and an analysis of real-world products integrating GAI, the research sheds light on the real-time benefits and limitations encountered. This paper aims to provide a comprehensive overview of GAI’s transformative impact on I-5.0 and to foster a discourse on ensuring a sustainable and ethically conscious integration of these technologies in manufacturing and beyond.
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    Applications and Drawbacks of Epoxy/Natural Fiber Composites
    (Springer, 2022-03) Mishra, Radha Raman
    Epoxy is a thermosetting polymer and due to its versatile characteristic it is made useful as matrix material in fabrication of polymer composite. Wide diversity of epoxy composites make its application in different industries such as coating, insulator, electric components, adhesives, sound acquisition, automobile, packaging, construction material, etc. The major application of epoxy composites is in the area of thermal insulation such as electric switch board, decorative article coating, tiles, and other civil constructions works. Another important property of epoxy composite is of good electric insulator as compared to metal matrix composites. But there are also some limitations such as low impact strength, nonbiodegradability, delamination, brittleness, and fracture toughness behavior, which limit its applications. To overcome these limitations, certain measures have been taken by different researchers such as incorporation of natural fibers, modification in chemical structure, particle reinforcement, etc.. Natural fibers come out as one of the prominent sources of reinforcement material for polymer composites due to their high strength and modulus of the fibers, fiber dispersion, fiber-matrix adhesion, and increase in toughness of the matrix. In this chapter overview of natural fibers with their advantages and disadvantages as reinforcement material in polymer composites has been provided. Studies of thermosetting polymer mainly epoxy resin including its thermal, mechanical, and chemical properties also have been done. Comparison of thermosetting resin with thermoplastic resin and curing stages of epoxy composites is discussed. Application of epoxy composites reinforced with natural fiber as thermal and electrical insulator is done in detail.
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    Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
    (Association for the Advancement of Artificial Intelligence, 2021) Bera, Asish
    Deep convolutional neural networks (CNNs) have shown a strong ability in mining discriminative object pose and parts information for image recognition. For fine-grained recognition, context-aware rich feature representation of object/scene plays a key role since it exhibits a significant variance in the same subcategory and subtle variance among different subcategories. Finding the subtle variance that fully characterizes the object/scene is not straightforward. To address this, we propose a novel context-aware attentional pooling (CAP) that effectively captures subtle changes via sub-pixel gradients, and learns to attend informative integral regions and their importance in discriminating different subcategories without requiring the bounding-box and/or distinguishable part annotations. We also introduce a novel feature encoding by considering the intrinsic consistency between the informativeness of the integral regions and their spatial structures to capture the semantic correlation among them. Our approach is simple yet extremely effective and can be easily applied on top of a standard classification backbone network. We evaluate our approach using six state-of-the-art (SotA) backbone networks and eight benchmark datasets. Our method significantly outperforms the SotA approaches on six datasets and is very competitive with the remaining two
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    Exploring Possible Applications of Augmented Reality in Education
    (IEEE, 2017) Rohil, Mukesh Kumar; Gupta, Neetika
    In recent years, use of Augmented Reality (AR) has been explored in a wide range of applications in various fields. Among these, one of the most inquired is the field of education. Many of these studies have shown that the use of AR in any learning environment promotes critical thinking, better understanding and motivates the learner for further studies. This is due to the real-time experience that AR brings with it to the learners. This paper reports some of the recent studies that list positive and negative impact of AR in an educational setting and how beneficial the employment of this technology is. The paper also gives an overview of some of the possible and promising applications of AR in the fields of science, social science, mathematics and language. Furthermore, the paper discusses trends and the vision towards future opportunities for possible research in augmented reality for education.