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Stability Analysis of AFTI-16 Aircraft by Using LQR and LQI Algorithms
The stability analysis of the dynamical system of linearized plant model of Advanced Fighter Technology Integration (AFTI)-16 aircraft was proposed along with the optimal control methods by applying linear quadratic regulator (LQR) and linear quadratic algorithm (LQI) algorithms. The LQR and LQI algorithms results were compared with state-space model analysis results. The state-space methods like pole placement method, without using the LQR algorithm the negative feedback system were found to be unstable. By the application of LQR and LQI algorithms to the linearized plant AFTI-16 aircraft open-loop system having negative feedback found to be stable. The stability parameters were verified by using MATLAB programming software. The eigenvalues play a key role in finding closed-loop system stability analysis. MIMO dynamical system with state feedback gain matrices is calculated by using MATLAB programming software. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
A Study on Sense of Community: Case Example of Public Housing Project, Bengaluru, India
Background: In the realm of collective public housing, certain societal segments currently favor low-rise residential blocks due to their affordability and lower number of dwelling units per block, thus affording increased privacy for residents. However, the concept of associating residents benefits with social relationships has yet to garner sufficient attention. Objective: This article seeks to understand and examine the impact of public housing on the sense of community (SOC) within a public housing community. Methods: The study was conducted at the Bangalore Development Author-ity Jnanabharathi Residential Enclave in Kengeri, Bengaluru, Karnataka. This understanding was attained through a comprehensive review of existing literature and an on-site evaluation carried out using questionnaire surveys and photographs for visual interpretations. Findings: The results indicated a relatively deficient sense of ownership within the community. Homeowners exhibited higher levels of community involvement and engagement in various activities compared with tenants. Conclusions: Furthermore, the study recommends that public authorities reevalu-ate their perspectives on public housing developments and develop a policy-orien-ted approach for planning, design, and additional amenities to foster a stronger SOC belonging. 2023 Springer Publishing Company. -
INDIVIDUAL AND GROUP VARIATIONS IN WAYFINDING AMONG USERS IN AN EDUCATIONAL BUILDING
The effective performance of users in an Educational Building is determined by the available resources and also the environment in which they dwell. Wayfinding is a daily occurrence for every user of an academic institution and this is facilitated through the distinct articulation of different spaces and recognizable circulation systems. The user behavior in a known/unknown building varies as an individual and with a group of individuals. This variation can be observed in an enclosed space and public setting. For an individual, the psychological state could influence navigating within the building whereas, for a group of individuals, the group dynamics could influence each other to navigate. The paper uses mixed methods to understand and assess the individual and group variations in wayfinding. The study was undertaken in a recently constructed School of Architecture at CHRIST University, Bengaluru. The understanding was accomplished with elaborate literature studies and the assessment was through the field observation techniques and surveys carried out with identified users like frequent individuals, new individuals, frequent groups, and new groups.The study tells that for both individuals and groups, the parameters like architectural elements, sensorial qualities, wayfinding behavior, gender, and psychological state influence them in wayfinding. It was also noted that most of the student users prefer shortcuts rather than the formal entance and lobby to navigate the classrooms. Accomplishing easy, comfortable, and efficient wayfinding within an educational building requires effective layout planning. These findings aim to contribute to the detailed understanding of effective layout planning in an educational building and its impact on user behavior for architects and decision-makers. ZEMCH Network. -
Artificial Intelligence Influence on Accounting Methods
Due to its benefits in terms of enhancing and redefining the actual manner of performing activities in this field, artificial intelligence is swiftly changing the reality of the accounting business. Accounting has seen a significant transformation over the years as computers, first and foremost, and more importantly, developers ready to spend less time on laborious work that minimises the amount of errors, have replaced the job done with paper and pencil. Although there has always been a fascination with artificial intelligence systems in this field, attention has recently shifted more toward it. Although technology has advanced, it seems that there aren't enough facts to back up businesses' readiness to include artificial intelligence systems into their accounting procedures. A crucial element of this reality is also the ability of professionals to quickly adjust to the new business climate, get the skills required to work with AI systems, and overcome their fear of losing their jobs. The requirements of the financial society, the quick development of data innovation, and artificial intelligence have brought about the modern era. Implementing artificial intelligence innovation is an unavoidable trend that will result in substantial changes and advancements in the accounting sector. In this essay, the usage of AI in the accounting industry is examined, its effects on the sector's expansion are examined, and significant solutions to current issues are suggested. 2022 IEEE. -
Quantum cryptography: An in-depth exploration of principles and techniques
Quantum cryptography is evolving in the field of data security and cryptographic research, as it offers a high level of security based on the principles of quantum mechanics. This chapter provides an extensive understanding and in-depth explanation about the basic concepts of the techniques implemented in quantum cryptography. The exploration of the fundamental concepts begins with elaboration on the foundational concepts of quantum mechanics, such as no-cloning, entanglement, superposition, and quantum state measurement, which are crucial for the better understanding of quantum cryptography. Further, the chapter delves more into the quantum key distribution (QKD) protocols such as BB84, BBM92, and B92. All the QKD protocols are analysed and compared based on the underlying principles and techniques. Furthermore, the importance and benefits of the integration of quantum cryptography with the traditional algorithms are also discussed. The chapter also aims to provide thorough study of quantum cryptography principles, challenges, and future directions along with a detailed comprehensive review of quantum cryptographic techniques. 2025 selection and editorial matter, Keshav Kumar and Bishwajeet Kumar Pandey; individual chapters, the contributors. -
Intensified geopolitical conflicts and herding behavior: An evidence from selected Nifty sectoral indices during India-China tensions in 2020
The recent India-China geopolitical conflicts have presented enormous uncertainty to the investors in various sectoral indices of the Indian stock market. This empirical study aims to examine the impact of intensified India-China geopolitical conflicts 2020 on investors' herding behavior in the National Stock Exchange sectoral indices. The high-frequency data of three major NIFTY sectoral indices (Auto, Energy, and Pharma) are used in an intensified geopolitical event window to spot precisely the traces of the investors' herding behavior. Furthermore, multifractal detrended fluctuation analysis (MFDFA) is employed to obtain Hurst Exponent values (h(q)) for the NIFTY sectoral indices. The findings reveal that these NIFTY sectoral indices exhibited profound traces of herding behavior on the event day (t = 0) due to the heightened India-China geopolitical clashes. In addition, these indices depicted an overall higher level herding behavior with the (h(q)) values close to 0.72 throughout the intensified geopolitical event window. The study concludes that the sectors highly reliant on the Chinese supplies and with significant trade linkages with China depicted a higher level of herding behavior in their indices. Further, the presence of herding behavior in these sectoral indices is due to the operational and supply-chain risks posed by the geopolitical event. 2022 LLC CPC Business Perspectives. All rights reserved. -
Do geopolitical tensions instigate mindless following in stock markets? An empirical enquiry into the indices of CNX Nifty HFT
Geopolitical tensions between nations play a crucial role in triggering volatility and affecting the investors behavior in stock markets. This empirical work attempts to detect the traces of herding and bubble embedded in the Indian stock indices of CNX Nifty 50 and CNX Nifty 100 (both in High-Frequency Trading domains) during the latest events of geopolitical tensions escalated between India-China and India-Pakistan. An event window approach is employed to capture the impact of these events on herding behavior and information uncertainty in the considered stock indices. Multifractal Detrended Fluctuation Analysis (MFDFA) is applied to compute the Hurst value in all the trading days of the event window. The results of both indices exhibit conclusive evidence of herding and bubble formation during the overall period of geopolitical tensions between India-China and India-Pakistan. However, the degree of herding in the stock indices intensifies to a profound pattern when the tensions between India and China escalated into deadly violent clashes, and also during the heightened tensions between India and Pakistan that eventually ended up in airstrikes across the boundaries. The overall level of information uncertainty depicted by entropy is within control. The volatility in these stock indices has been confirmed to follow a unidirectional pattern. Krishna T. A., Suresha B., 2021 -
The Political Uncertainties of the United Kingdom-2022 and Stock Market Reactions: An Event Study Analysis for LSE and Other Major European Stock Markets
The year 2022 has been one of the extremely uproarious in contemporary British politics, caused by severe political crises and uncertainties. The study aims to examine three major events related to the UK political uncertainties in 2022 and its impact on the UK and other major European stock markets using the market model of the event study methodology. The daily closing price data of the FTSE 100 index, its constituent stocks and the benchmark indices of 14 other major European stock markets were considered as per the event window constructed in the study. The empirical results of the study exhibited that the resignation announcement of Boris Johnson and Lizz Truss had positive abnormal returns on the day of the announcement. Subsequently, the announcement of Rishi Sunak as the PM of the UK had a stronger abnormal return on the announcement day. Further, the sector-wise impact analysis confirmed that Financials, materials, Energy, industrial, and real estate sectoral stocks have reacted with positive abnormal returns. Also, when verifying the impact on other major indices in European markets, it is noticed that only for the resignation announcement of Boris Johnson were there positive abnormal returns in benchmark indices of Italy, Netherlands, and Norway. The study confirms that political uncertainties like the prime minister's resignation bring short-run market inefficiency and provide opportunities for abnormal returns. The findings of the study offer some significant implications for the market participants such as traders, investors, portfolio managers and analysts. The findings will provide insights for them to devise trading strategies and risk management and to make investing decisions such that the portfolio of the investors is resilient to such uncertain political events. The Author(s) 2024. -
Reliable transmission of information through quantum encryption processes by applying quantum gate /
Patent Number: 201741042136, Applicant: Sreenidhi Institute of Science and Technology.
Present invention presents Quantum encryption and decryption processes for variable length of information by applying quantum gates. The present invention offers reliable transmission of information using quantum gates which based on inviolable principles of quantum mechanics and quantum computing. The encryption authorizes authenticity, confidentiality and integrity services of the information as well as communicating entities. -
Simple and Efficient Amberlite 15-catalyzed Synthesis of Dihydroquinazolinones
Abstract: The Amberlite 15 catalyzed synthesis of substituted 2,3-dihydroquinazolin-4(1H)-ones was reported. The reaction conditions were optimized by screening in different solvents and catalysts. The substrate scope of the reaction was also studied, and a plausible mechanism for the reaction was proposed. 2020, Pleiades Publishing, Ltd. -
Scalar multiplication based matrix public key cryptography
In this work, a matrix key is used as Global Parameter. The work is considered for a large prime number which constitutes the field. A random integer is considered as private key and the Global matrix is exponentiated by the private key to generate public key. The process supports for Security features like authentication and confidentiality which are the necessary services for encryption process. Since the process supports Discrete Lagorithm problem, which is a hard problem it supports sufficient security against crypto analysis. In this work, instead of doing direct exponentiation of matrix key to the power of integer (Private Key), the study focuses on different scalar multiplication techniques that can be performed on matrix key during its exponentiation process to reduce the amount of computing resources for the completion of the process. 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
An improvised grid resource allocation and classfication through regression
The resource allocation is one of the important mechanisms of grid computing, which helps to assign the available resources very efficiently. The one of the issue of grid computing is fixing the target nodes during the grid job execution. In existing method, resource monitored data are collected from grid then jobs are allocated to the resources based on available data, through regression algorithm. In this method total execution time of an application and run time of jobs should be high. The proposed method mitigate running time by classify the resources in the data collected from grid based on dwell time using novel classification algorithm. It reduces the jobs run time and fit the best available resources to the jobs in the computational grid. 2017 IEEE. -
Subliminal Cueing in Visual Attention: Top-down and Bottom-up Processing
Exogenous subliminal cues have been shown to have both top-down and bottom-up effects. There are many research studies have confirmed that the effect of top-down variables dependent on cue characteristics. In response, other studies have attempted to exhibit purely stimulus-driven attention capture. The superiority of attention capture effects and the level of superiority in top-down cues have not been evidenced previously. The present study attempted to observe differential effects of cues with different levels of task relevancy, in both valid and invalid cues. As an addendum, conditions with valid cues and incorrect feature match allowed for the exploration of same-location costs in subliminal cues. The results indicated attentional capture effects of all valid cues irrespective of the level of task relevance in subliminal conditions. The cues with the highest task relevancy led to the most attention capture. There were no inhibitory effects of invalid cues on attention capture in subliminal cues. The study reiterates the possibility of attentional mechanisms in same-location costs implicating processing outside of memory. Further, facilitation and inhibition of attention capture in subliminal cues may have two independent mechanisms. The inhibitory mechanism may be contingent to conscious awareness of cues. The result of the study shows how attention can be exogenously oriented without conscious awareness and what kinds of cues might be most effective. These findings can be useful in educational and training settings and other settings where sustained attention is crucial. 2024, Iquz Galaxy Publisher. All rights reserved. -
A study on the weak form efficiency of metals & mining sector in bse
This study has been conducted to observe whether the weak form of efficiency holds true when the Metals & Mining sector is examined for the same. Data is collected for a 5 year period which ranges from 1st April 2014 to 31st March 2019. A total of 1232 observations have been taken from the three selected companies of the Metals & Mining sector of the BSE, namely, Coal India Ltd, Hindustan Zinc Ltd and JSW Steel Ltd. Jarque-Bera test is used to check whether the data is normally distributed or not. Augmented Dickey Fuller test has been used to establish whether the data series possesses stationarity or not. Finally Runs test and Autocorrelation tests are used to check whether the Metals & Mining sector of BSE is weak form efficient or not through the three representative companies. Upon analyzing the data through Runs Test, except for JSW Steel Ltd, the other two companies are identified to contain randomness in their data series. Autocorrelation test also suggests that the future stock prices can be predicted only to a minimal extent for the three representative companies. Based on the derived results, it is concluded that the Metals & Mining sector of BSE does not contain any statistical dependencies between its past and future stock prices and it is found to be weak form efficient. 2021, Badebio Biotechnololgy Ltd. All rights reserved. -
Novel task assignment policies using enhanced hyper-heuristic approach in cloud
Cloud computing plays a vital role in all fields of todays business. The processor sharing server farm is one of the most used server farms in the cloud environment. The key challenge for the mentioned server farms is to provide an optimal scheduling policy to process the computational jobs in the cloud. Many scheduling policies were introduced and deployed by the existing approaches to build an optimal cloud environment. The existing approaches of the heuristic algorithms such as meta-heuristic and hyper-heuristic approaches were the most frequently used scheduling algorithms for the past years. These approaches work well only in the limited types of tasks and resources in a processor sharing server farms in the cloud environment. In the proposed system, novel task assignment policies have been proposed by enhancing the hyper-heuristic approach for the type low task and high resource in the cloud environment. The results of the proposed approach are compared with the existing approaches and the performance evaluation of the proposed approach is also done. As a result, the proposed enhanced hyper-heuristic approach performs well for processor sharing server farms in the cloud environment. Copyright 2023 Inderscience Enterprises Ltd. -
Mapping extinction using GALEX and SDSS photometric observations
The primary objective of this work is to create an all sky extinction map of the Milky Way galaxy. We have cross-matched the Sloan Digital Sky Survey (SDSS data release 8) photometric observations with that of Galaxy Evolution Explorer (GALEX data release 6). This provides a wide range of wavelength coverage from Far Ultra-Violet through the optical spectrum and gives one unique SDSS source for every GALEX source. We discuss a sample of ?32000 objects in the north galactic pole (?75 latitude) from this combined database. The Castelli and Kurucz Atlas was fit to the photometric observations of each star, best fit being determined using a chi-square test. Best fit parameters provide the spectral type and extinction towards each of the objects. The shift in magnitude obtained during the best-fit can be used to determine the distance to each of the stars. With this data, a comprehensive extinction map can be made for the high-latitude objects and later extended to all-sky. 2013 AIP Publishing LLC. -
A Quality of Service Study for Downlink Scheduling Algorithms in Mobile Networks
Internet usage and the number of applications/users growth is going in an unprecedented manner. In these days, lot of users are changed themselves to use internet-based applications rather than traditional voice service. The fundamental of voice-based communication is shifted to packet data access for satisfying the human needs through internet based mobile applications. 4G network is an IP supported rising technology for the past decade and at present also because of un availability service of 5G in all the places. Still, 4G is ruling the globe and the number of subscribers kept growing only. In these days, this remains on the list of latest research topics. Under 4G technology lot of research problems are exist like QoS, Uplink and Downlink Scheduling, Security, Mobility etc., Inspite of discussing that several issues, this paper mainly focusing the QoS in Downlink scheduling algorithms. Also, it presents the issues of various existing QoS downlink scheduling algorithms, names, QoS aware/unaware, parameters used/simulated, drawbacks of those algorithms and result verifications etc. Packet scheduling plays a crucial role for providing Quality of Service (QoS) to the mobile users. Ultimately, it gives some suggestions to explore more further about QoS based research work in Mobile Networks. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Ebcqi: Enhanced bcqi downlink scheduling algorithm for voip in mobile networks
Long Term Evolution (LTE) is a currently growing technology. It gives high speed data with several useful applications. Voice over Internet Protocol (VoIP) is one of the top most applications in that LTE. Scheduling is the main issue in LTE. This paper proposing an updating version of Best Channel Quality Indicator (BCQI) downlink scheduling algorithm. The proposed algorithm assigns the highest priority to VoIP users followed by video traffic and then other remaining traffics in next priority order. The simulation reports give the better results of increased average throughput in all users, as well as the spectral efficiency development is also increased. Here, in the proposed algorithm, the percentage of packet loss is also consistent with the existing BCQI algorithm. And, it totally emits positive results in both rural and urban area environments with different mobility. Number of user access is also high when compared with BCQI algorithm. IJSTR 2019. -
Understanding document semantics from summaries: A case study on Hindi texts
Summary of a document contains words that actually contribute to the semantics of the document. Latent Semantic Analysis (LSA) is a mathematical model that is used to understand document semantics by deriving a semantic structure based on patterns of word correlations in the document. When using LSA to capture semantics from summaries, it is observed that LSA performs quite well despite being completely independent of any external sources of semantics. However, LSA can be remodeled to enhance its capability to analyze correlations within texts. By taking advantage of the model being language independent, this article presents two stages of LSA remodeling to understand document semantics in the Indian context, specifically from Hindi text summaries. One stage of remodeling is done by providing supplementary information, such as document category and domain information. The second stage of remodeling is done by using a supervised term weighting measure in the process. The remodeled LSA's performance is empirically evaluated in a document classification application by comparing the accuracies of classification to plain LSA. An improvement in the performance of LSA in the range of 4.7% to 6.2% is achieved from the remodel when compared to the plain model. The results suggest that summaries of documents efficiently capture the semantic structure of documents and is an alternative to full-length documents for understanding document semantics. 2016 ACM. -
Including category information as supplements in latent semantic analysis of Hindi documents
Latent semantic analysis (LSA) is a mathematical model that is used to capture the semantic structure of documents by using the correlations between the textual elements in them. LSA captures the semantic structure very well being independent of external sources of semantics. However, the model's performance increases when it is supplemented with extra information. The work presented in this paper is to modify the model to analyse word correlations in documents by considering the document category information as supplements in the process. This enhancement is called supplemented latent semantic analysis (SLSA). SLSA's performance is empirically evaluated in a document classification application by comparing the accuracies of classification against plain LSA for various term weighting schemes. An increment of 1.14%, 1.30% and 1.63% is observed in the classification accuracies when SLSA is compared with plain LSA for tf, idf and tfidf respectively in the initial term-bydocument matrix. Copyright 2017 Inderscience Enterprises Ltd.