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Secured automated contactless vehicle door access system based on thermal mechanism of sensory devices /
Patent Number: 202141043350, Applicant: Dr.S.Balakrishnan.
Automatic entrance/exit door control is widely used in public places such as grocery stores, businesses, transportation stations, airports, and wholesale department stores to eliminate the need of manually opening and closing actions in this pandemic outbreak. Contemporary sensor based automatic door control technologies include infrared, ultrasonic/radio, or other wireless sensing methods. In this work, we designed a smart device which helps to perform a contact less temperature sensing door opening system. -
An IOT based system for antitheft security detection in a cloud environment /
Patent Number: 202241007566, Applicant: Dr. S. Brinthakumari.
Internet of Things (IOT) is the connection of things / objects through networks, in which things or objects can interact with each other without or minimal human intervention. Now-a-days, Security has grown to be the maximum tough task. Everyone wishes protection however in present scenario, not anything is secure now no longer even of their very own houses. In this work, we are proposing an IoT based system for Antitheft Security Detection in a Cloud Environment. In this system we used PIR sensor, ultrasonic sensor and Vibration sensor. -
Causal relationship among various development indices: A panel study
The concept of development has been regarded as a broader phenomenon encompassing various interrelated factors leading to improvement in the overall human wellbeing. So, it is important to understand the interlinkages between various dimensions of development. The present study was an attempt to analyze the causal relationship between the four aspects of development measured by the indices, namely the Economic Development Index (EDI), Social Development Index (SDI), Environment Development Index (ENDI), and Institutional Development Index (IDI) for a panel of 102 counties from 1996 to 2015. The long?run relationship between these indices through the panel ARDL model were also examined. The results indicated that there existed a bidirectional causal relationship between EDI and SDI, IDI and SDI, ENDI and SDI, and between IDI and ENDI. The one-way causality runs from IDI to EDI and ENDI to EDI. Further, given the nature of the variables considered here, panel autoregressive distributed lag models were used to examine the long?run relationship between the indices of development. The results showed that the impact of development indices with one another was statistically significant in the long run. 2021 The Society of Economics and Development, except certain content provided by third parties. -
Challenges To Democratic Consolidation In Ecuador - Space For Opposition And Indigenous Representation Under Rafael Correa And Lenin Moreno
The illiberal democratic trend currently sweeping the world has emerged as a major obstacle for democratic consolidation, leading to its acceptance as the new normal of democracy. This trend has been successfully reversed in Ecuador, but the country has encountered and still grapples with several obstacles that must be overcome in order to return to the democratic consolidation route. The study focuses on the issues of consolidation, emphasizing the space allotted for participatory democracy by the ruling elites. The study examines Rafael Correas and Lenin Morenos governments in the context of the democratic consolidation framework to determine their strategic actions, behavior, and interests. The scope of the investigation will be limited with the focus made-on the space allowed for the opposition and indigenous community representation, from 2008 to 2021, to determine the extent to which Ecuadors liberal democratic process is being consolidated. 2021 Taylor & Francis Group, LLC. -
Review on impacts of micro- and nano-plastic on aquatic ecosystems and mitigation strategies
The rapid proliferation of microplastics (MPs) and nanoplastics (NPs) in our environment presents a formidable hazard to both biotic and abiotic components. These pollutants originate from various sources, including commercial production and the breakdown of larger plastic particles. Widespread contamination of the human body, agroecosystems, and animals occurs through ingestion, entry into the food chain, and inhalation. Consequently, the imperative to devise innovative methods for MPs and NPs remediation has become increasingly apparent. This review explores the current landscape of strategies proposed to mitigate the escalating threats associated with plastic waste. Among the array of methods in use, microbial remediation emerges as a promising avenue for the decomposition and reclamation of MPs and NPs. In response to the growing concern, numerous nations have already implemented or are in the process of adopting regulations to curtail MPs and NPs in aquatic habitats. This paper aims to address this gap by delving into the environmental fate, behaviour, transport, ecotoxicity, and management of MPs and NPs particles within the context of nanoscience, microbial ecology, and remediation technologies. Key findings of this review encompass the intricate interdependencies between MPs and NPs and their ecosystems. The ecological impact, from fate to ecotoxicity, is scrutinized in light of the burgeoning environmental imperative. As a result, this review not only provides an encompassing understanding of the ecological ramifications of MPs and NPs but also highlights the pressing need for further research, innovation, and informed interventions. 2023 Elsevier B.V. -
Cassava (Manihot esculenta Crantz)A potential source of phytochemicals, food, and nutrition-An updated review
Cassava (Manihot esculenta Crantz) is believed to be an important staple food crop providing potential valuable food source as well as variety of phytoconstituents. Its starchy tubers provide a significant source of energy for around 500 million individuals. Among staple crops, it is regarded to be one of the top suppliers of carbohydrates. Its physicochemical qualities, as well as its availability, have made it a captivating food component. Cassava starch is a valuable raw material used to make a variety of both native and modified starch for cooking purposes. They have also been used for a variety of industrial uses. Cassava starch and flour have the potential to be valuable alternatives to rice, maize, and wheat crops. The advantages included being a staple diet for humans, a component of animal feeds, a raw ingredient for food processing, edible coatings, locally produced alcoholic beverages, and ethanol manufacturing. The roots consist of cyanogenic glycosides, which can lead to lethal cyanide poisoning if tubers arse not properly detoxified using different processing methods include washing, fermentation, boiling, peeling and chemical processing to escape toxin content. The current review summarizes cassava's bioactive components which could be a potential source of various pharmaceutical drugs as well as a source of traditional and modern food applications. 2024 The Authors. eFood published by John Wiley & Sons Australia, Ltd on behalf of International Association of Dietetic Nutrition and Safety. -
Bioactive Compounds and Biological Activities of Cassava (Manihot esculenta Crantz)
The most significant tropical tuberous crop, cassava (Manihot esculenta Crantz), is grown extensively around the world. It has a lot of minerals that have been linked to health benefits, is high in calories, and contains vitamin C, an antioxidant that supports the creation of collagen and boosts immunity. It is known to be the biggest generator of carbohydrates among stable crops, with its roots serving as the main source of starch and dietary energy. Currently, cassava flour is being used in gluten-free or gluten-reduced foods as a novel food application. The cassava plant extract is a rich source of major phytochemicals consisting of flavonoids, tannins, cardiac glycosides, anthraquinone, phlobatannins, saponins, and anthrocyanosides along with other antinutritive factors that contribute to its diverse pharmacological activities like antibacterial activity, in vitro ovicidal and larvicidal activity, antioxidant activity, anti-inflammatory activity, and analgesic and antipyretic activities. This chapter provides a comprehensive overview of the botanical features, production statistics, nutritional composition and benefits, phytochemicals present and their biological activities present in different parts of cassava plants, toxicity, food applications, and various strategies of breeding for crop improvement. Springer Nature Switzerland AG 2024. -
Exploring the Photocatalytic and Cytotoxic Potential of Quassia indica-Derived Bimetallic Silver-Zinc Oxide Nanocomposites
In response to the escalating need for nanomaterials characterized by enhanced properties and reduced environmental impact, this study addresses critical challenges associated with conventional nanomaterial synthesis methods, particularly focusing on concerns related to environmental toxicity and economic feasibility. In this study, we report the eco-friendly synthesis of silver-zinc oxide nanocomposites using leaf extracts of Quassia indica (QI- Ag: ZnO NC). The synthesized QI- Ag: ZnO nanocomposites were characterized using various techniques including UV-visible spectroscopy, X-ray diffraction (XRD), Fourier-Transform Infrared Spectroscopy (FTIR), Dynamic Light Scattering (DLS), Field-Emission Scanning Electron Microscopy (FE-SEM) with Energy Dispersive X-ray Spectroscopy (EDX), High Resolution Transmission Electron Microscopy (HR-TEM), and Selected Area Electron Diffraction (SAED). The photocatalytic activity of the biosynthesized QI- Ag: ZnO NC was evaluated against several textile dyes. Reactive Blue-220 exhibited the highest percentage of degradation (99.97%), closely followed by Reactive Blue-222 (99.37%), while Reactive Red-120 displayed significant degradation (94.62%). Remarkably, these nanocomposites exhibited significant photocatalytic degradation of the tested dyes, suggesting their potential application in wastewater treatment for dye removal. Furthermore, phytotoxicity studies were conducted to assess the impact of the nanocomposites on plant growth and brine shrimp mortality. To evaluate their cytotoxicity, the nanocomposites synthesized were assessed using the MTT assay on MCF-7 and MDA-MB-231 cancer cells. These findings suggest that QI- Ag: ZnO NCs have promising applications in environmental remediation and cancer therapy, opening avenues for further advancements in the arena of nanomaterial synthesis and utilization. The Author(s), under exclusive licence to Springer Nature B.V. 2024. -
Genetic Diversity of Garcinia gummi-gutta and Sustainable Utilization
The chapter discusses the consequences of using Garcinia gummi-gutta, often known as Malabar Tamarind, sustainably while diving into the complex web of genetic variation inside the crop. Giving a thorough overview, the chapter starts by detailing the botanical and genetic traits of this enigmatic species, revealing the morphological quirks and genetic differences that make it distinct. Examining the range and preferred habitats helps to highlight the ecological niches that are essential to its existence. It delves intently into the complex web of phytochemicals found in various plant parts and explains their range of biological functions. A crucial component of this study is a thorough examination of the techniques used to gauge the genetic diversity of populations of G. gummi-gutta. The assessment of G. gummi-gutta's conservation status indicates that threats to the species genetic richness need to be taken seriously and quickly addressed. The difficulties in attaining sustainable use are examined in detail, offering a comprehensive grasp of the nuances related to overexploitation and conservation initiatives. This study of G. gummi-gutta offers evidence of the complex interplay in the field of botanical resources between genetic diversity, conservation, and sustainable use. 2025 Hosakatte Niranjana Murthy. -
Eco-Conscious Silver Nanoparticles via Quassia indica: Characterization and Multifaceted Applications
This research work explores the green synthesis of silver nanoparticles using Quassia indica (QI-Ag NPs), a natural plant extract, as a stabilizing and reducing agent. The synthesized QI-Ag NPs were characterized using various analytical techniques, including UV-Visible spectroscopy, X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), Transmission Electron Microscopy (HR-TEM) and Selected Area Electron Diffraction (SAED). The UV-Visible analysis revealed a characteristic peak at 430 nm, indicating the successful formation of AgNPs. XRD analysis unveiled the crystalline nature of the nanoparticles, with four distinctive peaks corresponding to the silver crystallographic planes. SEM and EDX provided insights into the morphology and chemical composition of the QI-AgNPs. Moreover, TEM and SAED elucidated the structural attributes and crystallinity of the nanoparticles. The Ag NPs exhibited a spherical structure and crystalline nature, as supported by both SAED and XRD findings. The zeta potential of QI-Ag NPs exhibited a value of-24.2 mV. The synthesized QI-Ag NPs were evaluated for their photocatalytic potential, demonstrating a remarkable 97% degradation of Crystal Violet dye. Furthermore, comprehensive studies encompassing antioxidant, antimicrobial and cytotoxicity assessments were conducted, showcasing the multifaceted applications of these nanoparticles. This research underscores the promising potential of Q. indica-mediated silver nanoparticles as environmentally benign and versatile nanomaterials. 2024 World Scientific Publishing Company. -
Novel biocompatible zinc oxide nanoparticle synthesis using Quassia indica leaf extract and evaluation of its photocatalytic, antimicrobial, and cytotoxic potentials
Prognostic research points to the necessity and relevance of revamping polluted environments. The toxic effect of textile dyes released into waterbodies can be reduced by the degradation process and alternate methods in nanotechnology are used to lessen the gravity of the situation. Compared with chemical and physical NP synthesis, plant extract-based nanoparticle synthesis is an environmentally friendly alternative method, and the use of waste leaves in this process is an added advantage. Quassia indica zinc oxide nanoparticles (QI-ZnO NPs) were synthesised in the current work employing a simple and cost-effective process using Q. indica leaf extract. The surface plasmon peak was visible in the UV-Vis absorption spectrum of the decreased reaction mixture at 346 nm. The average crystallite size of the QI-ZnO NPs was found to be 16.66 nm. The QI-ZnO NPs were found to have a stable zeta potential of ?28.4 mV. The surface morphology of the optimised QI-ZnO NPs was observed to be hexagonal using field emission scanning electron microscopy and high-resolution transmission electron microscopy. Under UV light irradiation, the photocatalytic degradation of industrial textile dyes Reactive Blue-220, Reactive Yellow-145, Reactive Red-120, and Reactive Blue-222 showed degradation efficiency of 8090%. Antibacterial and antifungal activity was assessed using well diffusion on gram-positive and gram-negative microorganisms. When administered to the A549 and MDA-MB-231 cancer cell lines, QI-ZnO NPs displayed significant anticancer activities. Limited studies in the area of plant extract-based nanoparticle synthesis mark the novelty of this attempt and this trailblazing and pioneering approach using non-toxic QI-ZnO NPs synthesised through green synthesis is futuristic and sustainable helping in effective wastewater treatment. Graphical abstract: [Figure not available: see fulltext.] 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
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Secure magnetic resonance image transmission and tumor detection techniques
The transmission of important medical diagnostic, MRI (Magnetic Resonance Imaging) images are vulnerable to third party hackers who does spoofing and they are able to introduce faulty and noisy data that damage the transmission data, which hinders the proper medical diagnostics, research and credibility of labs and doctors, there is a clear lack of awareness and lack of proper security measures taken in transmission of MRI images in the present labs, hospitals and research centers. This project is helpful to reduce the problem of secure transmission of medical images. There are many algorithms which can be applied to these medical images. This project is helpful to provide good security to medical images during transmission. Tumor detection or prediction in medical science is a very complex and expensive job, which is not yet been addressed properly and no proper graphical user interface exists in an open source environment. This project is dedicated to analyze the best tumor detection from an MRI brain image after several segmentation methods such as K-means Clustering and Watershed segmentation. Security is realized considering various techniques for encryption and decryption of the image. The encryption technique finally selected after the survey was based on Rivest, Shamir & Adleman [RSA] algorithm. 2016 IEEE. -
Stock market prediction using DQN with DQNReg loss function
There have been many developments in predicting stock market prices using reinforcement learning. Recently, Google released a paper that designed a new loss function, specifically for meta-learning reinforcement learning. In this paper, implementation is done using this loss function to the reinforcement learning model, whose objective is to predict the stock price based on certain parameters. The reinforcement learning used is an encoderdecoder framework that is useful for extracting features from long sequence prices. The DQNReg loss function is implemented in the encoder-decoder model as it could provide strong adaptation performance in a variety of settings. The model can buy and sell the index, and the reward is the portfolio return after the days trading has concluded. To maximize yield the model must optimize reward function. The DQNReg loss implemented DQN network and the Huber loss DQN network is compared with the Sharpe ratio considered for return. 2024 selection and editorial matter, Arvind Dagur, Karan Singh, Pawan Singh Mehra & Dhirendra Kumar Shukla; individual chapters, the contributors. -
Stock market prediction using DQN with DQNReg loss function
There have been many developments in predicting stock market prices usingreinforcement learning. Recently, Google released a paper that designed a new loss function,specifically for meta-learning reinforcement learning. In this paper, implementation is doneusing this loss function to the reinforcement learning model, whose objective is to predict thestock price based on certain parameters. The reinforcement learning used is an encoderdecoderframework that is useful for extracting features from long sequence prices. TheDQNReg loss function is implemented in the encoder-decoder model as it could providestrong adaptation performance in a variety of settings. The model can buy and sell the index, and the reward is the portfolio return after the days trading has concluded. To maximizeyield the model must optimize reward function. The DQNReg loss implemented DQN network and the Huber loss DQN network is compared with the Sharpe ratio considered for return. 2024 The Author(s). -
Breast Cancer Survival Prediction using Gene Expression Data
Breast cancer is one of the most common forms of cancer in the world.[1]. Breast, skin, colon, pancreatic, and other 100 types of cancer have founded globally. An accurate breast cancer prognosis can save many patients from having unnecessary treatment and the huge medical costs that come with it. Multiple gene mutations can possibly transform a normal cell into a cancerous one. Genomic variations and traits have a significant effect on cancer. Genetic abnormalities caused by various circumstances drive numerous efforts to find biomarkers of breast cancer advancement. Early Detection of Cancer types is the only way to recover the patients from this acute disease. In this paper, a proposed Deep learning algorithm and Machine learning algorithms are used to predict the survival of cancer patients using clinical data and gene expression data. The Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset is split into clinical and gene data for detailed preprocessing. This proposed method gives a better understanding of the condition and assesses how effective treatment methods are by using Deep Learning and Machine Learning models on gene data. Logistic Regression is the most accurate method identified. Grenze Scientific Society, 2022. -
From data to decisions: Harnessing AI and big data for advanced business analytics
This chapter focuses on the idea of business analytics through AI and aims to address how AI has emerged as a powerful force in augmenting and replacing traditional human-computer interactions in the realm of business analytics. AI-powered analytics can uncover hidden patterns, detect anomalies, and automate decision-making processes, significantly augmenting the efficiency and accuracy of data analysis. Thus, the purpose of this chapter is two-fold. First, the chapter sheds light on business analytics, big data, and big data analytics through AI. It delves into the theories of machine and deep learning and their synergy with big data analytics. Secondly, the authors analyze a case study to substantiate our theory. ML-based prediction models using stock market data are developed to underline the significance of adopting AI-driven approaches for business analytics. 2024, IGI Global. All rights reserved. -
Isolation of Plant Growth-Promoting Bacillus cereus from Soil and Its Use as a Microbial Inoculant
Modernization has introduced intensive agricultural practices wherein the pesticides play an important role both in stabilization and in increase of agricultural products. As a consequence, humans and members of other ecosystems are exposed to increased levels of compounds that have detrimental effects on their health, thereby signifying the importance of microbial inoculants. In order to achieve this goal 7 different bacterial species were initially screened for isolation of plant growth-promoting Bacillus sp. The isolate CUAMS116 was confirmed to be Bacillus cereus through biochemical and molecular characterization. The in vitro plant growth-promoting ability of the isolate was screened through standard tests. Different concentrations of bacterial inoculant (25%, 50%, 75%, 100%) were evaluated for its plant growth promotion ability using Phaseolus vulgaris L., under pot culture conditions. At the harvest stage, the mature control plants measured 16.53cm and mean treated plant height was measured to be 27.75cm, showing a maximum percentage increase in length of 67.87%. The results suggested that the B. cereus CUAMS116 isolated in this study can be extended as a PGPM through further field trials in other plants for improving crop yield and tolerance to biotic and abiotic stresses. 2020, King Fahd University of Petroleum & Minerals. -
An investigation on structural and optical properties of reduced graphene oxide-tin oxide nanocomposite
Graphene-metal oxide composites have attracted tremendous research interest in recent days due to their unique and fascinating properties. In the present study, rGO and SnO2 were synthesized separately by modified Hummers' method and nitrate-citrate gel combustion technique respectively. One step hydrothermal method was used to prepare reduced graphene oxide-tin oxide nanocomposite of various concentrations of rGO and SnO2.The obtained samples were characterized by XRD, FTIR, Raman Spectroscopy, UV-Vis spectroscopy, SEM and TEM. The results of different characterization techniques showed the successful formation of SnO2, rGO and SnO2-rGO composites. X-ray analysis pattern indicates formation of the SnO2 nanoparticles in the graphene matrix. The size of the particles prepared is in nanoscale and was found to be 10-20 nm range. TEM images reveal the incorporation of crystalline SnO2 nanoparticles in graphene layers. Upon incorporation of tin oxide to graphene matrix, one could easily tailor the energy gap of the composite matrix. 2020 World Research Association. All rights reserved.