Applied Science and Engineering Journal for Advanced Research
Not a member yet
146 research outputs found
Sort by
Assessment of Indian Blue Peafowl in Certain Areas
Get PDFThere were 247 peafowl in total, which is abundant. In the research regions, there were 61 chicks, 93 fowls, and cocks (sex ratio: 1:1). The abundance of peafowl was seen in a variety of habitats, including rice paddies, sugarcane fields, banana plantations, bamboo vegetation, and bodies of water with aquatic grasses. The bamboo vegetation (n = 35) had the lowest abundance, and the banana plantation (n = 61) had the maximum abundance. In the meantime, paddy fields (n = 48), aquatic grasses (n = 55), and sugar cane habitat (n = 50) the research was done between October 2021 and April 2022. Peafowl abundance in various areas in and around Innambur village, Kumbakonam Taluk, was examined over the course of seven months. The peafowl abundance showed a monthly fluctuation. The most peafowl sightings—13—were recorded in the month of February. Peafowl sightings were at their lowest in November and March, respectively (n = 7). The Eragaram area had the most peafowl sightings (n = 35; males 18, females 11, and chicks 6). The number of Indian peafowl sightings per kilometre walked in the study region was used to express the sightings. Paddy, sugarcane, banana plantations, bamboo vegetation, and aquatic grasses are among the ecosystems. There were 247 total reports of Indian peafowl in the study area. The ecosystem of the banana plantation was thought to have the highest sightings. The bamboo vegetation was where the fewest sightings were observed. It demonstrated the average number of Indian peafowl sightings in the different habitats
Analysis of Pervoskite Solar Cell Functional Theory
Get PDFThe electronic construction estimations of a substance are the focal errand because of atomistic reenactments. They make allusions to estimates of the state of electronic mobility around fixed cores. To further develop power transformation effectiveness and strength, doping is normally taken on technique to tune and adjust the constructions CH3NH3PbI3 materials\u27 characteristics and composition in natural inorganic crossover perovskite arising sun oriented cells perovskites are a class of materials that have a perovskite structure assorted mix of various components. Because of this, result, they display various functionalities, for example, piezoelectric, ferroelectric, pyroelectric, and ferromagnetic with applications in photovoltaic cells, huge magneto-opposition, LEDs, superconductivity, and topological covers. Perovskites have gained a reputation as a viable alternative to silicon-based conventional solar cells since 2009. By and large, halide perovskites show great photonic characteristics, oxide perovskites show great dielectric properties, and chalcogenide perovskites are utilized in applications in strong state detecting, lighting, and energy collecting. In this thesis, different kinds of perovskites going from oxide to halide are examined alongside their underlying, electronic, flexible, and optical properties
Encrypted Data and Indexing Search Keyword on Multi Cloud
Get PDFMany data owners are embracing cloud computing to outsource their complex data management systems because of its elasticity and also the cost savings. Prior to outsourcing, all sensitive data must be encrypted to ensure its privacy. The search service must be able to handle multi keyword queries and also provide resemblance ranking in order to meet the statistics repossession needs of cloud users. Privacy-preserving multi-keyword ranking search over encoded cloud data is defined and solved in this paper for the first time, and we establish a set of strict privacy requirements for such a secure cloud data utilisation system when it comes to multi-keyword semantics, "coordinate matching" is the most efficient method. We begin by proposing a basic MRSE scheme based on secure inner product computation, and experiments on the real-world dataset show that the schemes we\u27ve proposed do indeed have low computation and communication overhead.. Pseudo (fake) documents that can accurately reflect user information requirements are the focus of a new optimization method we\u27ve developed. We also propose a new criterion for evaluating the performance of the restructured web search results, called average precision (CAP). By further extending these two schemes, we can better serve our data search customers. Real-world data experiments show that the proposed schemes do indeed have low computational and communication overhead
Jaccard Index Cat Gradient Boosting Classification for Secured Big Data Communication
Get PDFBig data is observed as a novel field dealing with datasets that are too complex in providing indispensable services for daily chores and also discovering hidden patterns. Network security has become a major issue due to big data analytics, which offers unlimited research potential. More specifically, secure data communication without a third party is a major concern. Also, as large, heterogeneous, and complex data sets emerge, existing security mechanisms cannot provide or address network threats quickly or accurately. Therefore, along with the decrease in time, accuracy and error rate are other research concerns. Accordingly, an accurate and timely big data-based secure method called Jaccard Index Cat Gradient Boosting Classification-based Secured Data Communication (JICGBC-SDC) using the Internet of Things is presented. Firstly, for each cloud user, user registration is performed by acquiring information from various sensors. Second, information is collected from the registered cloud users by means of the Jaccard Index Cat Gradient Boosting Classifier algorithm. Such a proposed algorithm imposes a lower error rate and minimizes classification time, ensuring the most reliable and secured data communication between cloud users. To ensure secure data communication, weak learners\u27 results are combined to form a strong classifier. The proposed method is implemented in Java and tested on the CloudSim simulator for classification accuracy, classification time, and error rate. The experimental results reveal the JICGBC-SDC method increases the performance of secured data communication for error rate by 77%, classification time by 79% and classification accuracy by 25% as compared to the state-of-the-art work
Design and Approach for Calculation of Reinforcing Concrete Structure
Get PDFFiber reinforced polymer (FRP) bars are frequently used in civil engineering. due to their many benefits, which include excellent weight-to-strength ratio, light weight, ease of handling, electromagnetic neutrality, and lack of rust, as an alternative to reinforcement steel. FRP has also developed into a competitive and cost-effective structural material as production machinery advances and more industries become industrialised. In this study, the flexural presentation of concrete reinforced (RC) beams and fiber-reinforced polymer (FRP) bars after conditioning for 6, 9, and 12 months with simulated saltwater in a wet-dry environment cycling is investigated. This study\u27s goal is to present new developments in the study of FRP-reinforced concrete structures based on current research. The bond depiction of concrete\u27s compression behaviour, reinforced concrete\u27s ductility, and FRP-reinforced FRP bars\u27 flexural behavior. The bond presentation of FRP bars flexural behaviour, concrete, compression behaviour, and concrete of ductility structures reinforced with FRP bars in the last few years around the world are among the topics covered in this study. steel-FRP composite bars (SFCBs) and Basalt FRP (BFRP) are the two types of FRP bars used. For comparison, steel bars are used. During the conditioning, the beams are subjected to a steady load. There are a full of 24 simple-supported rays that being verified
Ultrathin Polarization Insensitive Multiband Metamaterial Microwave Absorber for C, X and Ku Band Applications
Get PDFA polarization independent multiband metamaterial microwave absorber is designed and characterized. The absorber design comprise a 0.03 mm thick copper metallic pattern arranged in fourfold symmetric manner to complete one unit cell. Each metallic pattern is designed using multiple strip resonators of different lengths connected together. The top layer is separated by 1.56 mm thick FR4 dielectric from back annealed 0.03mm thick continuous copper plate. The simulated responses derived using HFSS shows that the intended absorber exhibits five absorption peaks at 5.9 GHz, 7.8 GHz, 10.9 GHz, 17 GHz and 18 GHz. with an absorption of 92.5%, 99%, 83%, 90% and 91% respectively. The electrical dimensions of the unit cell are 0.314λ × 0.314λ computed at 5.9 GHz. The designed structure is polarization independent due to four-fold symmetric design configuration and therefore exhibit the same absorption response for both TE and TM polarizations for normal incident of the EM wave. The absorption response for oblique incidence angles has also been examined for both polarizations and the absorber exhibit above 80% absorption at oblique angles of incidence. The multiband absorption make it a potential candidate for various RF applications such as RCS reduction, EMI shielding etc