Faculty Publications

Permanent URI for this communityhttp://192.168.24.11:4000/handle/123456789/7

Scholarly Publications by Integral Academia

Browse

Now showing 1 - 20 of 1273

२० वीं सदी के युद्ध के बाद अंतरााष्ट्रीय सम्बन्ध
(Jyotikiran Publication, Pune, 2023) Singh, Anil Kumar
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
(IEEE, 2022) Ahmad, Qazi Saeed; Khan, Imran Ullah
Multicarrier transmission is a difficult method for high velocity information transmission over a dispersive media. An Orthogonal Frequency Division Multiplexing (OFDM) plot stays a multicarrier balance as well as multiplexing plan which utilizes a comparative handling technique letting the synchronized transmission of information organized a few completely fanned out, orthogonal sub-transporters. One significant test in multicarrier transmission is PAPR. There are a few strategies and procedures for PAPR decrease. All techniques point significant decrease in PAPR. However, these techniques need to deal with the issue of misfortune in information rate, communicate signal influence increment, BER increment, process intricacy increment, etc. Thusly, there is no particular technique to diminish PAPR that has the best answer for all multicarrier information transmission frameworks. As opposed to the PAPR decrease method should be thoroughly picked in accordance with differed framework necessities.
2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)
(IEEE, 2022) Chandra, Harshit; Bajpai, Shrish
Hyperspectral (HS) image has rich spectral information content, which facilitates multiple applications including remote sensing. Due to the big data size of the HS image, compression is a required process for the efficiency of image storage and transmission. However, the complexity of the compression algorithms turns real-time compression into a very challenging task. A novel listless set partitioned hyperspectral image compression algorithm is proposed. The proposed compression algorithm uses zero block cube tree structure to exploit the inter and intra sub-band correlation to achieve the compression. From the result, it has been clear that the proposed compression algorithm has low coding complexity with at-par coding efficiency. Thus, it can be a suitable contender for low-resource hyperspectral image sensors.
2022 IEEE Bombay Section Signature Conference (IBSSC)
(IEEE, 2022) Mohammad, Umar; Yasin, Mohd Yusuf; Tang, Fang
Filter circuits from the very beginning have played a vital role in the broader areas of signal processing and communications systems. In the paper, a new paradigm of bilateral filtering has been presented. The scheme presents a new class of filters that have the ability to work on the either side of the device. The working of the presented circuits in this study commensurates to the working of the transceivers. The initial verification of the circuits was done using nodal analysis and then put for simulation verifications. The Active device used to realise the proposed circuits is the translinear circuit scheme of second generation current conveyor-CCCII. Basic filter signals like low-pass, high-pass, band-pass and band-stop responses were perceived and authenticate the theory proposed. The simulation work was done on Hspice tool using the 45nm PTM CMOS technology node. The detailed analysis of the proposed circuits is open for the readers in this study. The power consumption of the proposed circuits is in the range of 100−200μW with ± 1 V rail to rail voltages. The Proposed circuit is expected to get applicable as the major analog front-end circuit in numerous biomedical devices.
2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT)
(IEEE, 2023) Chandel, Tarana Afrin; Yasin, M.Y; Mallick, M.A.
A solar cell is a transducer, converting light energy into DC power. Among all renewable energy, solar photovoltaic energy is a clean and green energy. Due to low cost and high efficiency power generation, it is most popular emerging technology towards energy transformation. Therefore modeling of SPV system is required to analyze the performance of SPV system. An increase in internal resistance either series or parallel of the photovoltaic (PV) cell effect the characteristics and the performance of the system. In this research, we have done the modeling of polycrystalline PV module on MATLAB. Modeling is done on 150 kW SPV systems. The field test is also done on same parameters in the city of Lucknow, Uttar Pradesh, India. Data collected from the MATLAB test shows the degradation in the conversion efficiency of power generation and affecting the system performance.
2023 International Conference on IoT, Communication and Automation Technology (ICICAT)
(2023) Ahmed, Hasnain Nabi; Khan, Abdul Rahman Asad; Bajpai, Shrish
This paper proposes a novel and non-invasive approach for detecting the freshness of Hairtail fish using a compact microstrip patch antenna operating at 2.45 GHz. The antenna, with dimensions of 38.6 mm×47.6 mm×1.6 mm , was used to measure the resonant frequency and return loss of fresh and stale fish at different distances. The results indicate that the proposed method is reliable and effective for detecting the freshness of fish, which is important for reducing food waste and ensuring food safety. This method offers a practical solution for the seafood industry to monitor and maintain the quality of their products during transportation and storage.
3D Improve Zero Memory Set Partitioned Embedded BloCK Coding Algorithm for Hyperspectral Image
(The Institute of Electrical and Electronics Engineers, Inc., 2026) Purushottam Lal Nagar, Shrish Bajpai, Naimur Rahman Kidwai
Hyperspectral imaging maintain a crucial role for the remote sensing technologies. But, the amount of image data produce by the image sensors is huge, thus handling of this image data become an issue with the sensor and it’s performance. A compression algorithm is required to save the sensor memory, reduce data complexity and improves sensor performance. In past, many compression algorithms had been proposed but transform based compression algorithms performed better than other type of compression algorithms such as embeddedness, high coding efficiency and low coding complexity. Wavelet transform based compression algorithm has low coding memory and 3D Zero Memory Set Partitioned Embedded bloCK (3D-ZM-SPECK) achieve zero coding memory but has slightly low coding efficiency. To obtain higher coding efficiency, present compression algorithm is an advance version of 3D-ZM-SPECK which exploits spectral redundancy to achieve the high coding efficiency. It has been noticed from the simulation results on two different images that present compression algorithm high coding efficiency (∼4% to 5%) and zero coding memory requirement.
3D-Block Partitioning Embedded Coding for Hyperspectral Image Sensors
(IEEE, 2023) Harshit Chandra; Shrish Bajpai
Computational complexity with the coding efficiency of any hyperspectral image sensor is a challenging issue. 3D-SPIHT has reasonable complexity and generates an embedded bit-stream. Due to the linked lists, the processing of the compression through the 3D-SPIHT gets slow at the high bit rates. This manuscript presents a low-complexity version of 3D-SPIHT which uses the array structure instead of linked lists. These arrays are independent of each other. The coding memory required by the arrays is the same as the linked list used in 3D-SPIHT. Through the use of array, the coding complexity is reduced and coding efficiency is increased with the use of parity of the bit plane. Thus, the proposed compression scheme is an optimum solution for the resource-constraint hyperspectral image sensor.
A Brief History of the Green Synthesis of Nanomaterials
(Apple Academic Press, 2024) Atif Husain, Malik Nasibullah
Over the last few decades, green and sustainable processes have undergone a rapid metamorphosis into key strategic methods to address the majority of the drawbacks of conventional synthesis. Continual progression in the field of green synthesis has contributed vastly to the development of greener pathways leading to the establishment of newer, efficient, cleaner pathways at no cost of environmental sustainability. To overcome these, a search for a reliant and environmentally friendly pathway by minimizing the use of potentially hazardous substances and adherence to “green synthesis”, processes is the need of the hour. In establishing these pathways in the exploitation of environmentally friendly synthesis approaches, there is a brighter scope in the nurturance of remedial measures for the environment paving the way for nanoremediation. This necessity has become a driving factor in the creation of new research achievements in the same sector in creating a new, eco-friendly, and regenerative platform for both nanoremediation and green chemistry. Despite the tremendous development of this sector over the last 10 years, it is continuously growing with more effect. Because nanotechnology is multidisciplinary and interdisciplinary, the relationship between green chemistry and sustainability has shown to be a good element. Thus, the confluence of three major domains of research, namely Green Chemistry, Nanotechnology, and Sustainability, produces enhanced, unique, and much better necessary areas of study to cope with a decrease in environmental repercussions.
A Comprehensive Analysis of Landfills: Impact on Human Health and Unrelenting Concern
(Nitya Publications, 2025) Seema Siddiqui, Aijaz Husain
A Comprehensive Analysis of Vulnerabilities and Cybersecurity Issues for Digital Agriculture and Food Industry
(Taylor & Francis CRC Press, 2025) Gausiya Yasmeen, Syed Adnan Afaq, Saman Uzma
The foundation of practically all countries in the globe is agriculture. Every cycle's area, from jobs to satiating food needs, is affected. The world's population is expanding more swiftly, which necessitates feeding more stomachs. To fulfill the growing demand for food, smart technology like IoT – Internet of Things – is already being applied in agriculture. Due to the widespread use of IoT technologies, virtually every sector of the economy, including food and agriculture, is also affected by digital transformation. Smart gadgets are routinely utilized by an extensive throng, including farmers and business owners. Such kinds of instruments are utilized in varied ways, from employing drones to assist with tasks like pesticide spraying to continuously nursing the health of harvests and the humidity content of the soil. The advantages of smart agriculture are immense; the condition of soil and seed traits can be observed using smart data, and new technology can provide conveniences never before possible while also enhancing the management and standard of agricultural farming. The advancement of agriculture to smart farming has resulted in an increase in cyber threats. Smart farming ecosystems are, however, exposed to a variety of cybersecurity threats and vulnerabilities due to the employing of IoT and smart communication technologies. Ransomware is the cyberattack that affects the food industry the most frequently right now. Such hacks may cause economic instability in countries that heavily rely on agriculture. As per reports food inflation has risen up to 4.5% which was earlier 3% in the year 2023. Moreover, this year was declared “El Nino” which can result in growth of the hunger index in poor nations. So, modern cultures' food supply chains are essential components. It employs network connections and is fully digitalized, just like other facets of life. Nevertheless, the widespread practice of technical know-how comes with built-in security dangers and weaknesses, and both industries are now under more scrutiny than ever. The chapter presents a complete study on the protection and confidentiality related to food industries and agriculture sector data.
A comprehensive assessment of the existing literatures on the challenges and solutions related to cyber security in smart cities
(CRC Press, 2025) Rizwan Ahmed Khan, Mohd Faizan Farooqui, Mohd Waris Khan
A smart city improves metropolitan municipal administrations by utilizing the most recent information and communication technologies (ICT) and the Internet of Things (IoT) to enhance urban city administrations, save costs, manage assets, and foster community among its residents. Numerous benefits are associated with smart cities, including enhanced energy productivity and management, healthcare facilities, effective transportation systems, appropriate waste and water management, and personal protection. In this article, we go over the various risks that smart cities face and demonstrate how their unique features create cybersecurity issues. Lastly, we go over a few of the more significant cybersecurity fixes that have been suggested for smart cities. Our study aims to identify digital cyberattacks that target smart city communities in the literature, in addition to outlining the key concepts of digital security and protection problems associated to smart city sites. In summary, this study aims to investigate and evaluate many facets of cybersecurity concerns in smart cities, information security vulnerabilities associated with smart city, and offer an all-encompassing research framework to support academics and business experts in this field.
A comprehensive overview of digital image processing techniques in precision agriculture
(CRC Press, 2026) Gausiya Yasmeen, Tasneem Ahmed, Nayyar Ali Usmani
India, a country with an agriculture-based economy, is embracing Precision Agriculture (PA) techniques to optimize the use of seeds, water, and energy. PA uses tools like positioning technology, geographical information systems, satellite navigation, and digital image processing to provide food security and sustainable development. Proper crop monitoring is essential for improving production quality and quantity. PA provides reliable real-time and concurrent information, aiding decision-making. Previously, manual crop monitoring was inefficient due to its time-consuming nature. Digital image processing techniques can be used instead. This article reviews digital image processing-based crop monitoring using satellite-driven satellites and Remotely Piloted Aerial Systems (RPAS)-drone-based methods. RPAS-based images yield more effective crop monitoring results than space station images. Digital image processing is used in agricultural applications for controlling undesirable plants, plant diseases, nutrients, pets, and other issues. Future studies using digital image processing in photogrammetry, vegetation indices, crop monitoring applications, and a variety of crops have opened opportunities for further research in this field.
A Comprehensive Overview on Immunomodulators
(RUDRA PUBLISHERS & DISTRIBUTORS, 2023) Gazala Noor , Badruddeen, Bhuwanendra Singh, Vaishali , Arvind Kumar, Alimuddin Saifi , Anand Maurya, Jitendra Gupta , Reena Gupta
To maintain the immunity in the current scenario is a vast challenge for the humans, because of busy life style as well as pollution day by day spoiling the environmental conditions those are suitable for the all living beings, hence in the context to disease free health, a long-life strong immunity is very needful to all age group of persons. Thus, a part of active immunity, our immune system can be boost up by passively too, by the humans. Beyond these two types of immunity several other factors are also used to developed the strong immunity such as exercise, and use of immunomodulators, whether they can be obtained from synthetic or natural sources. There are certain factors are responsible for poor immunity such as food, water, stress, environment, etc. So, after taking proper food still many people need nutrients to modulate their immune system for combating the several diseases, like cancer, various viral and bacterial infections. Some of the herbal immunomodulators are, turmeric, peepli, sitaphal, aloe, garlic, kiwi fruits, soyabean, green tea, Ashwagandha etc. some nutraceutical is also a good option for improving the immunity such as dietary fibers, probiotics, antioxidant vitamins, spices, flavonoids. Further if we talk in the sense of clinical then immunomodulators may be classified as Immunoadjuvants, Immunostimulants, Immunosuppressants. Thus, there are several bioactive molecules those are capable to show the activity to strengthen the immune system such anthocyanins, Saponins such as ginsenosides, panaxdiol, panaxtriole, Coumarin, carbazole alkaloids, glycosides and many more.
A comprehensive review: Anomaly detection techniques on social networking and its applications
(CRC Press, 2025) Sarfaraz Alam, Mohammad Faisal
Due to large part in the expansion of Web 2.0 and the Internet over the last ten years, interest in online social networks has increased dramatically. These websites are among the most widely used worldwide, with applications in telemarketing, healthcare, education, and entertainment that touch almost every facet of daily life. Unfortunately, criminals have made these their primary targets when attempting to commit crimes and harm other users. It is possible to identify the strange actions of these consumers by employing anomaly detection techniques. Anomaly detection in social networks involves identifying unusual and unexpected user behavior by analyzing the hidden patterns within the networks. This task is particularly challenging because the interaction patterns of these users differ significantly from those of regular network users. Although numerous anomaly detection techniques have been designed for various problematic situations, this area is still comparatively new and quickly evolving. Consequently, a structured analysis of the research conducted in anomaly detection within social networks is increasingly necessary. This paper provides an in-depth analysis of various approaches to social network anomaly detection. It introduces multiple taxonomy levels that categorize current techniques based on the types of anomalies they detect, the characteristics of the input networks, and the underlying detection methodologies. Additionally, the study explores the open problems and research obstacles in this field and highlights the diverse application contexts where these methods have been employed.
A Critical Review of the Challenge Faced by Local Authority: Government in Remodeling of Ancient City in India
(Scripown Publications New Delhi, 2023) Syed Aqeel Ahmad; Priya Rai, Rajiv Banerji, Mohm Asim
A Critical Study of Algorithmic Bias and Its Gendered Implications for the Right to Non-Discrimination in AI Systems
(Writersgram Publications, 2026) Mohd Ubais Ansari
This study undertakes a critical examination of algorithmic bias and its gendered implications for the right to non-discrimination in artificial intelligence (AI) systems. As Al increasingly mediates access to essential services-ranging from employment recruitment and credit scoring to healthcare delivery and law enforcement-the neutrality of algorithms has come under question. Far from being objective, these systems often replicate and amplify pre-existing social inequalities due to biased training data, opaque decision-making processes, and inadequate accountability frameworks. Women and gender minorities, in particular, face disproportionate risks of exclusion, stereotyping, and systemic disadvantage when algorithmic outcomes reinforce entrenched patterns of discrimination. The research situates algorithmic bias within broader constitutional and human rights frameworks, foregrounding the right to non-discrimination as a foundational guarantee. It interrogates how automated decision-making systems, while celebrated for efficiency and scale. undermine substantive equality by institutionalizing structural barriers under the guise of technological neutrality. Drawing from interdisciplinary literature across law, computer science, and feminist theory, this study identifies key points of legal friction such as the absence of regulatory oversight, the invisibility of algorithmic processes, and the lack of remedies for affected individuals. Comparative insights from international jurisdictions and human rights bodies are employed to highlight both emerging safeguards and persisting gaps. The study further emphasizes the
A Futuristic Approach on the Multifunctionality of Nanomaterials: Relevance of Nanoparticles
(IGI Gobal, 2024) Faria Fatima
The realm of analytical chemistry has been invigorated by the advent of multifunctional nanoparticles. Nanomaterials, with their distinct properties stemming from quantum effects and high surface-to-volume ratios, are poised to reshape industries ranging from electronics to medicine and environmental sustainability as they deliver unprecedented performance by integrating semiconducting, plasmonic, and piezoelectronic properties. Furthermore, multifunctional nano species play a pivotal role in personalized medicine and targeted therapies. Magnetic nanoparticles respond to magnetic fields and are employed in hyperthermia therapy and targeted drug delivery. The utilization of nanostructures for promoting environmental sustainability is highly commendable. They have the remarkable ability to pinpoint pollutants and their degradation. Therefore, as the research progresses, there are transformative breakthroughs to harness the multifunctionality of nanomaterials across scientific domains, driving society towards a future characterized by technological marvels and sustainable progress.
A Fuzzy Optimization Model for Multi-Item Production Planning Problem in an Uncertain Environment
(Book Rivers, 2025) Ahteshamul Haq
In this chapter, we have formulated a multi-objective production planning model for a hardware firm. This firm produces different types of hardware locks and other items in its production run. The objectives of the firm aretominimize the production cost, minimize the inventory holding cost and maximize the net profit subject to theset of realistic constraints. In the past, the production planning problem of a similar type has been formulated with exact information where the input information is precisely known to the decision-maker. However, in most of the real-life situations, the input information is not precisely known. In such situations,fuzzy set theory playsa vital role in modelling of the problem where the input data have some vagueness.The proposed model of production planning also been formulated under fuzzy environment. The triangular fuzzy number has been used to present the vagueness in the input information. The equivalent crisp form of the fuzzy model has been obtained bytwo different types of defuzzificationapproaches namely ranking function and α–cut approach respectively. Henceforth, the formulated models under fuzzy environment havebeen solved by the fuzzy goal programming approach.
A JOURNEY OF CONSCIOUSNESS EXPLORING THE DEPTHS OF AWARENESS
(Book Rivers HN 22 Kanchan Nagar Kalyanpur Lucknow UP, 2025) Divya R. Panjwani, Sukhmeet Kaur, Farah Zahidi
In an era marked by rapid technological advancements, shifting cultural paradigms, and unprecedented global interconnectivity, the question of consciousness—what it is, how it functions, and how it shapes human experience—has become more relevant than ever. A Journey of Consciousness: Exploring the Depths of Awareness is born from the desire to bring together multidisciplinary voices that reflect, question, and illuminate the many dimensions of consciousness. This book is the culmination of a collaborative effort by scholars, researchers, educators, psychologists, philosophers, and technologists who have explored various expressions of conscious experience, ranging from ethical tourism and consumerism to neuroscience, AI, education, mindfulness, and metaphysical traditions. Each chapter presents a unique lens through which readers are invited to examine the intricacies of awareness, perception, and choice in a profoundly interconnected world. We envisioned this volume as a bridge between the ancient and the emerging, between spiritual introspection and scientific inquiry. Whether it is the meditative paths explored in Eastern traditions, the legal and psychological dimensions of unconscious behavior, or the futuristic inquiries into artificial consciousness, each contribution seeks to provoke more profound understanding, self-reflection, and thoughtful action. We extend our heartfelt gratitude to all the contributors who have brought their passion, rigor, and insight to this project. It is our sincere hope that this compilation inspires readers to embark on their journey of consciousness—one that deepens awareness, fosters compassion, and nurtures global harmony.