31 research outputs found
North-East lost forest cover equal to thrice Delhi’s area in last two decades
Get PDFThe 18th edition of the India State of Forest Report 2023 (ISFR 2023) released on December 21, reported an increase in the country’s forest cover by 156.41 sq km in the last two years. The Forest Survey of India (FSI) defines “forest cover” as land with tree canopy density exceeding 10% and covering at least one hectare, which thus includes plantations. According to the report, losses in forest cover have been recorded in the Western Ghats and Eastern States Area (58.22 sq km) and the Northeast (327.30 sq km) since 2021
Intelligent calibration technique using optimized fuzzy logic controller for ultrasonic flow sensor
No full textA Study on Performance of Different Open Loop PID Tunning Technique for a Liquid Flow Process
No full textProcess control is the application and study of automatic control to maintain a process at the desired operating condition ,safety,and efficiently while satisfying the environmental and product quality.Like the Level,Temparature & Pressure, Liquid flow Measurement is one of the major controlling parameter in process plant. This paper mainly concern about the single tank liquid flow process and designing the controller with different PID tunning methods.Many process plants controlled by the PID controller with similar dynamics to find out the possible set of satisfactory controller parameters from the less plant information but from the mathematical model.With minimum effort adjust the controller parameters by using three open loop PID controller IMC,CHR & AMIGOand compare their output response in real time flow tank system
Deep learning innovations and their convergence with big data Advances in data mining and database management (ADMDM) book series./ S. Karthik, SNS College of Technology, Anna University, India ; Anand Paul, Kyungpook National University, South Korea ; N. Karthikeyan, Mizan-Tepi University, Ethiopia.
No full text"Premier reference source"--Cover.Includes bibliographical references and index."This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"--Advanced threat detection based on big data technologies / Madhvaraj M. Shetty, Manjaiah D.H. -- A brief review on deep learning and types of implementation for deep learning / Uthra Kunathur Thikshaja, Anand Paul -- Big spectrum data and deep learning techniques for cognitive wireless networks / Punam Dutta Choudhury, Ankumoni Bora, Kandarpa Kumar Sarma -- Efficiently processing big data in real-time employing deep learning algorithm / Murad Khan, Bhagya Nathali Silva, Kijun Han -- Digital investigation of cybercrimes based on big data analytics using deep learning / Ezz El-Din Hemdan, Manjaiah D. H. -- Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques / Sanjiban Sekhar Roy, Pulkit Kulshrestha, Pijush Samui -- Big data deep analytics for geosocial networks / Muhammad Mazhar Ullah Rathore, Awais Ahmad, Anand Paul -- Data science: recent developments and future insights / Sabitha Rajagopal -- Data science and computational biology / Singaraju Jyothi, Bhargavi P-- After cloud: in hypothetical world / Shigeki Sugiyama -- Cloud-based big data analytics in smart educational system / Newlin Rajkumar Manokaran, Venkatesa Kumar Varathan, Shalinie Deepak.1 online resource (xxii, 265 pages)
Aeroponics
No full textAeroponics is the process of growing plants in an air or mist environment without the use of soil or an aggregate medium. In other words, it is the whole plant, roots and all, are suspended in midair.The word Aeroponics is derived from two Latin words aero (meaning air) and ponos (meaning labour). The basic principle of aeroponic growing is to grow plants suspended in a closed or semi-closed environment by spraying the plant's dangling roots and lower stem with an atomized or sprayed, nutrient-rich water solution. The leaves and crown, often called the canopy, extend above. The roots of the plant are separated by the plant support structure. Often, closed-cell foam is compressed around the lower stem and inserted into an opening in the aeroponic chamber, which decreases labor and expense; for larger plants, trellising is used to suspend the weight of vegetation and fruit. Ideally, the environment is kept free from pests and disease so that the plants may grow healthier and more quickly than plants grown in a medium. However, since most aeroponic environments are not perfectly closed off to the outside, pests and disease may still cause a threat. Controlled environments advance plant development, health, growth, flowering and fruiting for any given plant species and cultivars. Due to the sensitivity of root systems, aeroponics is often combined with conventional hydroponics, which is used as an emergency "crop saver" – backup nutrition and water supply – if the aeroponic apparatus fails. High-pressure aeroponics is defined as delivering nutrients to the roots via 20–50 micrometer mist heads using a high-pressure (80 pounds per square inch (550 kPa))</p
Comparative analysis of various supervised machine learning techniques for diagnosis of COVID-19
No full textThe Search-o-Sort Theory
No full textIn the modern era of informatics, where data are very important, efficient management of data is necessary and critical. Two of the most important data management techniques are searching and data ordering (technically sorting). Traditional sorting algorithms work in quadratic time Ox2, and in the optimized cases, they take linearithmic time Ox·logx, with no existing method surpass this lower bound, given arbitrary data, i.e., ordering a list of cardinality x in Ox·logx−ϵ(x)∀ϵ(x)>0. This research proposes Search-o-Sort, which reinterprets sorting in terms of searching, thereby offering a new framework for ordering arbitrary data. The framework is applied to classical search algorithms,–Linear Search, Binary Search (in general, k-ary Search), and extended to more optimized methods such as Interpolation and Jump Search. The analysis suggests theoretical pathways to reduce the computational complexity of sorting algorithms, thus enabling algorithmic development based on the proposed viewpoint
Community-based conservation in Eastern Himalayan biodiversity hotspot- a case study
Get PDF220-229Biodiversity resources of southern bank of Yarlung Tsangbo river valley in South Tibet and Bumdelling-Tawang corridor in the eastern Bhutan are less explored by tourism and urbanization. Institutional initiatives for the conservation of these rich biodiversity areas under the traditional ownership of local communities of Arunachal Pradesh led to a community-based conservation model of Community Conserved Areas (CCA). Spontaneous participation of the stakeholders in these CCA was lacking because conservation objective was conflicting with traditional livelihood practices. To create new livelihood opportunities, the village institutions mobilized community-based leisure models and aligned these alternate livelihood objectives with ecological conservation. These economic initiatives met the challenges of bureaucratic administration, restricted access being close to international boundary with Bhutan & China, ineffective promotion by government agencies and, the threats caused by the hydroelectric dam project. Strategy implementation was flawed because of the information sharing mechanism between China-India and India-Bhutan is constrained due to international borders. Internal challenges of indigenous CCA were limited customer integration, skewed societal acceptance of leisure-based livelihood practices, and capital cost of conservation capacity. Marketing of tourism in CCAs of Thembang and Zemithang as nature tourism destination requires all-weather road, sustained technical and financial support, and distribution linkages. This research discusses the critical success factor of Zemithang as an expanding CCA and limitations of Thembang CCA in mobilizing host community support. The authors argue that the community-based biodiversity conservation in the western Arunachal Pradesh must be supported by a participatory format of alternate livelihood opportunities
Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections
No full textMedical diagnostics is an important step in the identification and detection of any disease. Generally, diagnosis requires expert supervision, but in recent times, the evolving emergence of machine intelligence and its widespread applications has necessitated the integration of machine intelligence with pathological expert supervision. This research aims to mitigate the diagnostics of urinary tract infections (UTIs) by visual recognition of Colony-Forming Units (CFUs) in urine culture. Recognizing the patterns specific to positive, negative, or uncertain UTI suspicion has been complemented with several neural networks inheriting the Multi-Layered Perceptron (MLP) architecture, like Vision Transformer, Class-Attention in Vision Transformers, etc., to name a few. In contrast to the fixed model edge weights of MLPs, the novel Kolmogorov–Arnold Network (KAN) architecture considers a set of trainable activation functions on the edges, therefore enabling better extraction of features. Inheriting the novel KAN architecture, this research proposes a set of three deep learning models, namely, K2AN, KAN-C-Norm, and KAN-C-MLP. These models, experimented on an open-source pathological dataset, outperforms the state-of-the-art deep learning models (particularly those inheriting the MLP architecture) by nearly 7.8361%. By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. Further, preliminary results can complement (expert-supervised) molecular testing by enabling them to focus only on clinically important cases, reducing stress on traditional approaches
