Browse Items (11810 total)
Sort by:
-
Organic food products: A study on perceptions of indian consumers
Organic food products are popular across Europe and United States of America. Asia is not far behind with India being a prominent player. The concept of organic food products is not new to Indian farmers. However, there is not much of a consumption taking place domestically despite the fact that India is one of the top 10 players in the world when it comes to the number of farmers engaged in organic cultivation. This study was conducted to understand the factors of consumer perception towards organic food products. The study covered both primary investigation and secondary literature review. Data was collected with the help of a structured questionnaire and was analyzed using percentage analysis and factor analysis to identify the factors of consumer perception. -
Organic and Inorganic compunds anchored graphene frameworks as materials for sensor and supercapacitor applications
The specific atoms or group of atoms that can attach to the other organic or inorganic newlinecompounds due to the strong affinity is called as the anchoring group. The electrons newlinefrom these organic and inorganic compounds are potent to travel through the anchor newlinegroup. This leads to specific features with the change in the arrangement of atoms in newlinethe entire molecule/system. Hence, the redox reaction properties, molecular chain newlinelength and the extent of conjugation of the resultant anchored product vary. Depending upon the binding nature, anchoring groups can be divided into monodentate, bidentate, and multidentate. Among these, multidentate anchoring groups are more significant since it can bind either partially to the molecules or with the whole surface. Though many multidentate anchoring groups like fullerene, carbon nanotubes, polymers, calixarenes, and graphene are presented in the literature, newlinegraphene oxide anchored organic and inorganic compounds are important because of its amazing contributions to the material science and design. The high thermal and electrical conductivity, large surface area, mechanical strength, and availability of more mobile electrons make graphene as the suitable anchor group for diverse applications in the field of adsorption of polluted gases, catalyst for the organic conversions, medicinal chemistry, electrochemical sensing, and energy storage devices. Therefore, Graphene oxide (GO) is one of the good choices to develop supercapacitance systems and electrochemical sensing materials. Heteroatom doping, conducting polymer, metal complexes, and metal oxides anchored graphene oxide are more significant because they change the electroactive properties significantly. Considering these, we studied the photophysical and electrochemical properties of chromium complex anchored GO synthesised by silane and diazonium coupling. -
Organic and inorganic compounds anchored graphene frameworks as materials for sensor and supercapacitor applications
The specific atoms or group of atoms that can attach to the other organic or inorganic compounds due to the strong affinity is called as the anchoring group. The electrons from these organic and inorganic compounds are potent to travel through the anchor group. This leads to specific features with the change in the arrangement of atoms in the entire molecule/system. Hence, the redox reaction properties, molecular chain length and the extent of conjugation of the resultant anchored product vary. Depending upon the binding nature, anchoring groups can be divided into monodentate, bidentate, and multidentate. Among these, multidentate anchoring groups are more significant since it can bind either partially to the molecules or withthe whole surface. Though many multidentate anchoring groups like fullerene, carbon nanotubes, polymers, calixarenes, and graphene are presented in the literature, graphene oxide anchored organic and inorganic compounds are important because of its amazing contributions to the material science and design. The high thermal and electrical conductivity, large surface area, mechanical strength, and availability of more mobile electrons make graphene as the suitable anchor group for diverse applications in the field of adsorption of polluted gases, catalyst for the organic conversions, medicinal chemistry, electrochemical sensing, and energy storage devices. Therefore, Graphene oxide (GO) is one of the good choices to develop supercapacitance systems and electrochemical sensing materials. Heteroatom doping, conducting polymer, metal complexes, and metal oxides anchored graphene oxide are more significant because they change the electroactive properties significantly. Considering these, we studied the photophysical and electrochemical properties of chromium complex anchored GO synthesised by silane and diazonium coupling. The results exhibited that both silane functionalized GO and azo dye enable an electronic interaction due to the recombination of sp2 and sp3 states and electron-hole pairs which have extensive importance in developing optoelectronic devices. -
Order Sum Graph of a Group
The concept of the order sum graph associated with a finite group based on the order of the group and order of group elements is introduced. Some of the properties and characteristics such as size, chromatic number, domination number, diameter, circumference, independence number, clique number, vertex connectivity, spectra, and Laplacian spectra of the order sum graph are determined. Characterizations of the order sum graph to be complete, perfect, etc. are also obtained. 2023 University of Baghdad. All rights reserved. -
Orality, Literacy, and Modernity: A Reading of The Legends of Khasak
What is the relationship between literacy and culture? It is not possible to give a simple answer to this question. Eric Havelock, while commenting on ancient Greek culture and literacy, observes that the classic culture of Greece had attained an advanced stage even before the emergence of Greek script. It continued to exist as an oral culture for a long time (Havelock 1963, 117120). A culture without a script is not uncivilized or underdeveloped. Havelock observes: One can propose with assurance that the pre-Homeric epoch the Dark Age yields for the historian what might be called a controlled experiment in non-literacy. Here, if anywhere, we can study those conditions on which a total culture, and a very complex one, relied for its preservation upon oral tradition alone. (pp. 11718) 2025 selection and editorial matter, E.V. Ramakrishnan and K.C. Muraleedharan; individual chapters, the contributors. -
-
Oral cancer analysis using machine learning techniques
Oral cancer staging is most required task of examining treatment and required medication for the patients. In oral cancer staging is of two types, namely, clinical and pathological. TNM (Tumor, Node, and Metastasis) staging is clinical system of predicting oral cancer stages, on the other hand Histology, p63 and podoplanin expressions are pathological staging system which is obtained after biopsy test. These staging systems are used in machine leaning techniques to analyze the different stages of oral cancer. The main aim of the paper is to classify different stages of oral cancer using machine learning techniques. The experimental work is based on clinical and pathological staging system. The data set used for this research work is based on Oral Leukoplakia. The data transformation is applied to standardize the data and the features were extracted using correlation coefficient. The extracted features were classified using Decision tree and random forest which are compared against other popular classification methods like SVM, KNN, MLP and Logistic Regression. From the experimental work, it is found that the various stage classification of oral cancer can be classified efficiently with help of Random Forest and Decision Tree. So the classification of various oral cancers can be performed with help of random forest and Decision Tree. International Research Publication House. -
Opto-electric property relationship in phosphorus embedded nanocarbon
Graphene, due to its zero band gap, has an excellent combination of the important features such as ballistic transport, tensile strength and chemical tuning, which are practically hindered in opto-electric applications. The precursors used in the production of nanocarbon are relatively costlier; however, that their production processes include difficulties is a harder problem. It is possible to control the size, structure and properties of the produced nanocarbon matrix by tuning sp2 domains in the matrix. In this respect, the coal, being a potential candidate for the synthesis of nanocarbon which holds promising applications, has attracted remarkable interest. The nanocarbon structure reported in this paper was synthesized from bituminous coal and then phosphorus atoms were added into the produced structure in order to obtain resultant composite structure, whose structural properties were illustrated here in detail by using the X-ray, IR and UVVisible spectroscopy techniques. A systematical analysis of the optical and electrical properties of the produced composite has revealed that a composite structure to be produced in the ratio 1:2 of nanocarbon + phosphorus has better optical and electrical properties. We report here that the composite produced in this study from nanocarbon by adding phosphorous atoms shows unique photoluminescent property in particular due to the dominance of quantum confinement and oxygen functionalities. The observed increase in the dielectric strength, which results from interfacial polarization and its frequency independent nature, is desirable for the fields such as supercapacitor, sensor, stealth applications etc. 2018 The Authors -
Option or necessity: Role of environmental education as transformative change agent
There is a consensus around the importance of environmental education in mitigating the ill effects of environmental problems and preserving the natural environment and promoting green behaviours. The present paper studies the role of environmental education based on transformative learning theory. It intends to present and test a model proposal using sequential mediation analysis of several constructs as the Environmental Education Support (EES) and Volunteer Attitude (VA). A quantitative study was carried out by using data obtained through online questionnaires from several Indian and Brazilian Higher Education Institutions. A multivariate statistical method was employed to analyse the data by using partial least squares structural equation modelling. The results demonstrated that environmental education positively influences students environmental concern, willingness to be environmentally friendly, and volunteer attitude. As a novelty, it reports that environmental education beliefs, concern for the environment and willingness to be environmentally friendly sequentially mediate the relationship between environmental education support and volunteering attitude. 2023 Elsevier Ltd -
Optimizing the efficiency of solar flat plate collector with trapezoidal reflector
Solar flat plate collectors are the most vital parts of a solar heating system. The collector plate absorbs the energy from the sun and transforms this radiation into heat and then transmit this heat into a fluid, it can either water or air. This research paper proposes a new technology to enhance the performance of the solar flat plate collector. A trapezoidal solar reflector is connected with the flat plate collector to enhance the amount of sunlight which hits the collector plate surface. The trapezoidal reflector concentrates both the direct and diffused radiation of the sun towards the flat plate collector. To maximize the concentration of incident radiation the trapezoidal reflector was permitted to change its inclination with the direction of sunlight. A prototype of a solar water heating system with trapezoidal reflector was constructed and achieved the improvement of collector plate efficiency by around 12%-13%. Thus the current solar heating system has the best thermal performance compared to the existing systems. 2019 Author(s). -
Optimizing Portfolio for Highly Funded Industries Within Budget Constraints for the Period of 20232024
This research paper aims to analyze and optimize portfolios for the top funded industries based on the budget23. The study uses a data-driven approach to identify the best investment opportunities within these industries. The methodology involves collecting financial data, conducting market analysis, and using optimization techniques to create an optimal portfolio. The results of the study show that the top funded industries have a high potential for growth, and the optimized portfolios can maximize returns while minimizing risk. The findings can provide valuable insights for investors and fund managers who are seeking to make informed investment decisions in these industries. The study also highlights the importance of considering the budget constraints while optimizing portfolios. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Optimizing operational cost and delivery of online food delivery apps using high-tech vending machines
Consider the present scenario of placing online food orders while traveling, waiting for them, and struggling to collect them on time. This issue can be addressed by creating and deploying a fully functional high-tech vending machine. With the evolution of technology and the necessity for constant improvement in service quality, customers are thriving for a better customer experience. This article aims to design and methodologically assess the importance of installing vending machines around the most crowded public transportation hubs by dispensing purchased food or beverages online. It focuses on providing a convenient delivery mode for online-ordered food at travel boarding points and public gatherings. Vending machines at these locations gather and distribute food to consumers based on orders from online food delivery apps such as Swiggy, and Zomato, thus optimizing and improving the delivery experience. It focuses on optimizing the operational cost associated with online food delivery platforms and reducing the carbon emissions contributed by multiple deliveries that happen towards the common drop-off points. 2024 Srinesh Thakur, Anvita Electronics, 16-11-762, Vijetha Golden Empire, Hyderabad. -
Optimizing milk run and use of bin-packing in waste collection problems /
International Journal of Engineering & Technology, Vol.7, Issue 4.10, pp.577-579 -
Optimizing malachite green adsorption with Co-PTC metal organic framework: Insights into mechanisms and performance
The removal of organic pollutants from aqueous environments has garnered significant attention in environmental science and engineering. Metal-organic frameworks (MOFs) have emerged as promising materials for this purpose due to their intriguing structures, high surface area, and perpetual porosity. In this study, we investigate the adsorption performance of Co-based MOF for the removal of malachite green (MG), a common organic dye pollutant. The MOF, abbreviated as Co-PTC is synthesized via a one-pot green approach using perylene-3,4,9,10-tetracarboxylic dianhydride (PTC) as the ligand at room temperature. Basic to advanced characterization techniques are employed to elucidate the structure and interactions within the MOF. Through a comprehensive analysis, the underlying mechanisms governing the adsorption process are explored, and optimization studies have been carried out. Co-PTC in minute amounts exhibits an adsorption capacity of 79.3 % selectively for MG in 50 min. The kinetics and isotherm models governing the adsorption process are well investigated. 2024 Elsevier B.V. -
Optimizing Kidney Ultrasound images through Pre-Processing Filters
Medical image processing and analysis have greatly advanced in the past decade, significantly contributing to the diagnosis of various diseases.However, It is crucial to address the need for effective data management in the medical field due to the significant rise in data generation and storage. It necessitates the exploration of compression methods as a means of achieving efficient data handling. Consideration should be given to image processing approaches to minimize redundancy. Ultrasound imaging has gained importance in recent years, but the presence of artifacts in ultrasound images has complicated diagnoses. An evaluation has been performed to identify appropriate Pre-processing techniques for kidney images before extracting kidney features. Observing the sensitivity and calculating the PSNR and MSE of the filtered image are used to assess the applied methods. The results indicate that the median filter is ideal for image quality enhancement, while the Sobel filter is highly effective in detecting kidney edges. 2023 IEEE. -
Optimizing Food Production with a Sustainable Lens: Exploring Blockchain Technology in Raw Plant Materials and Organic Techniques in Achieving Sustainable Development Goals
Amidst a rising population and mounting environ- mental concerns, India seeks a transformative approach to ensure food security and sustainable agriculture by 2030, as outlined in Sustainable Development Goal 2 (SDG 2). This research explores the immense potential of organic farming methods and raw plant materials to unlock this vision. Plants have a wealth of unrealized potential that extends beyond their conventional functions. The study looks at how different plant parts, like branches, leaves, stems, and even "waste"materials, can be used in a variety of ways to increase self-sufficiency, lessen environmental impact, and access renewable resources. Case studies from across the globe highlight this potential, highlighting the many advantages for the environment and communities. Additionally, the study investigates the innovative use of blockchain technology to promote a more transparent and resilient agricultural environment in India. Imagine blockchain-powered climate-smart practices, safe and transparent transactions, and precision agriculture led by sensor data. Water-efficient irrigation, environmentally friendly pest control, and strong traceability systems are all part of this vision, which aims to strengthen the Indian agricultural sector's resilience. The study suggests a framework of customized policy recommendations centered on non-losable farming methods in recognition of the need for wider implementation. This framework, created especially for the Indian context, supports the promotion of agrotourism, improved education and extension services, accessible financial risk management tools, and the smart redistribution of subsidies. The research highlights the transformative potential of this approach by highlighting the many benefits of these practices, including the environmental (less water use, increased biodiversity, improved soil health, and carbon sequestration), social (better community resilience, food security, farmer income, preservation of cultural heritage, equitable trade), and economic (premium market access, lower input costs, and higher yields) gains. In the end, this research offers a strong plan of action for India to greatly advance SDG 2 and create a more sustainable future for all of its people. A food system that feeds people and the environment can be developed by carefully using organic farming methods and unprocessed plant resources in conjunction with successful legislative initiatives. 2024 IEEE. -
Optimizing energy consumption in wireless sensor networks using python libraries
Wireless sensor networks (WSNs) are widely utilized in various fields, including environmental monitoring, healthcare, and industrial automation. Optimizing energy consumption is one of the most challenging aspects of WSNs due to the limited capacity of the batteries that power the sensors. This chapter explores using Python libraries to optimize the energy consumption of WSNs. In WSNs, various nodes, including sensor, relay, and sink nodes, are introduced. How Python libraries such as NumPy, Pandas, Scikit-Learn, and Matplotlib can be used to optimize energy consumption is discussed. Techniques for optimizing energy consumption, such as data aggregation, duty cycling, and power management, are also presented. By employing these techniques and Python libraries, the energy consumption of WSNs can be drastically decreased, thereby extending battery life and boosting performance. 2023, IGI Global. All rights reserved. -
Optimizing Drug Discovery for Breast Cancer in a Laboratory Environment Using Machine Learning
Breast cancer therapy can be greatly enhanced by the proposed method that combines experimental and computational techniques. Employing a state-of-the-art in vitro system, we evaluated biopsy tissues at different cancer stages, monitoring them for 48 hours. Later on, our investigation involved the application of machine learning models including nae Bayes (NB), artificial neural networks (ANN), random forest (RF), and decision trees (DT). Surprisingly, these models reached high test accuracies - ANN 93.2%, NB 90.4%, DT 87.8%, and RF 85.9%. The dataset's impedance dynamics data provide evidence for treatment efficacy. Therapeutic strategies need to be adjusted for particular patients and their stage of cancer since the results underscore the usefulness of personalized breast cancer therapy. This study will significantly contribute to new tailored treatment options available for breast cancer patients. 2024 IEEE. -
Optimizing Antenna Structures for 60 GHz Systems Microstrip Patch vs Microstrip Slot
This paper conducts a thorough comparison between microstrip patch and microstrip slot antennas for 60 GHz wireless communication systems, excluding the meander line antenna. The design process involves meticulous selection of substrate material, antenna geometry, and feed mechanism to achieve a compact, efficient, and wideband antenna suitable for 60 GHz applications. Performance analysis, based on theoretical derivations and HFSS simulator simulations, covers key parameters like radiation pattern, gain, and bandwidth. Results demonstrate that the proposed microstrip antenna meets 60 GHz system requirements, indicating potential for further optimization. The study highlights the unique advantages and disadvantages of each antenna structure, emphasizing that selection should align with specific application needs. This comparative analysis aids researchers and engineers in making informed decisions regarding the most suitable antenna structure for their 60 GHz wireless communication requirements. 2024 IEEE. -
Optimized uplink scheduling model through novel feedback architecture for wimax network
Broadband Wireless Access has drawn the fine attention due to the wide range of data requirement and user mobility all the time. Moreover, WiMAX provides the best QoE (Quality of Experience) which is based on the IEEE 802.16 standards; this includes several services such as data, video and audio. However, in order to provide the effective and smooth experience i.e. QoS scheduling plays one of the critical part. In past several mechanism has been proposed for effective scheduling however, through the research it is observed that it can be furthermore improvised hence in this we propose a mechanism named as OUS (Optimized Uplink Scheduling) which helps in improvising the QoS. In here, we have proposed a novel feedback architecture and proposed optimized scheduling which helps in computing the bandwidth request this in terms helps in reducing the delay as well as jitter. Moreover, the performance evaluation is performed through extensive simulation by varying the different SS and frequency and the results analysis confirms that our mechanism performs way better than the existing algorithm. BEIESP.