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AI-driven deep learning framework for energy-efficient optimization in IoT-enabled wireless networks
Artificial intelligence (AI) and Internet of Things (IoT)-enabled wireless sensor networks (WSNs) have revolutionized industries by providing automation, real-time monitoring, and analytics that are predictive. WSNs still face significant obstacles such data security, network flexibility, and energy limitations in spite of these developments. In order to optimize energy use in Internet of Things (IoT)-based WSNs, this study introduces a novel Reinforcement Learning-based Energy-Efficient Communication Protocol (RL-EECP) to optimize the lifetime of networks and guarantee effective data transmission. The suggested protocol integrates sleep scheduling, reinforcement learning, and data fusion techniques. Also, an adaptive prioritization approach is introduced that assesses nodes according to the surroundings, significance, and energy consumption. Experiments show that RL- EECP performs better than existing studies in extending node lifetime and preserving excellent network performance. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. -
Lightweight Sybil attack detection framework for wireless sensor network with cluster topology
The development of communication and networking technology has made it possible for wireless sensor networks to play a significant role in many fields. Wireless sensor networks are vulnerable to a variety of security threats because of their remote hostile features. The Sybil attack, which generates several identities to gain access to wireless sensor networks, is one such devastating but simple to spread exploit. This Paper proposes a novel identity and trust-based system to ensure protection against Sybil attacks. Analysis of the RSSI and location parameter increases the accuracy. It recognises the attackers and broadcasts information about them to all adjacent sensor nodes. Additionally, it offers other crucial security features. 2025 Author(s). -
Appraisal of prolyl 4-hydroxylase alpha subunit gene polymorphisms in Spondyloepimetaphyseal dysplasia of Handigodu type (SEMDHG)
Background: The Handigodu variant of Spondyloepimetaphyseal Dysplasia (SEMDHG) is a severe, progressive osteoarthritic disorder characterized by chronic pain and joint degeneration. Clinically, the disorder presents in three distinct phenotypic forms, each exhibiting varying degrees of stature reduction and disease severity. Urine analysis of affected individuals reveals an elevated peptide-bound proline to 4-hydroxyproline ratio relative to controls, suggesting disruptions in collagen metabolism. Given the critical role of prolyl 4-hydroxylase enzymes in stabilizing collagen structure, this study undertook a comprehensive sequence analysis of all three isoforms of prolyl 4-hydroxylase in both affected and unaffected individuals to elucidate potential molecular underpinnings of the disorder. Method: The entire exonic regions and 2000 base pairs upstream of the translation start sites of the P4HA1, P4HA2, and P4HA3 genes were sequenced in a cohort of 300 individuals, comprising 166 affected and 134 unaffected individuals. Results: Sequence analysis of the ? (I), ? (II), and ? (III) subunit genes identified three novel SNPs and a 39-bp deletion variant, in addition to ten previously reported SNPs catalogued in dbSNP. The SNP rs28384495 in P4HA1, the 39-bp deletion variant, and a novel mutation (SNP3) in P4HA3 exhibited significantly different allele frequencies between patients and controls. Genotype association analysis revealed that SNPs in P4HA1 and P4HA3 were associated with Type 2 and Type 3 HD under various genetic models. Notably, all Type 2 HD patients were heterozygous for the 39-bp deletion, whereas all Type 3 HD patients were homozygous for the variant. Haplotype analysis corroborated the findings of the genotype association analysis. Conclusion: This study is the first to account an association between the P4H gene and disease. Further research is needed to evaluate the functional implications of the identified mutations. 2024 -
A COMPARITIVE ANALYSIS BETWEEN HOLLYWOOD AND INDIAN MOVIES DEALING WITH THE TOPIC CAPITAL PUNISHMENT
Capital Punishment is a much debated topic in the country and around the world. Films are a major of information where one can propagate an idea to a wide range of audience. Being a topic of general concern, it is important to discuss the relevance of capital punishment on screen (in a movie) and carry forth the happening debate onscreen. The paper tries to do a comparative study between English and Indian movies dealing with the topic. -
An efficient low complexity compression based optimal homomorphic encryption for secure fiber optic communication
Latest advancements in fiber optic communication have gained significant attention among researchers owing to many benefits such as high data rate, acceptable cost, bandwidth, low attenuation, etc. Fiber optic networks are found to be a commonly utilized platform to transfer data in several applications such as personal, commercial, military areas, etc. Although fiber optic networks are highly beneficial, security remains a challenging design issue. Numerous state of art works has been developed to achieve security in fiber optic communication. Among the various methods, compression then encryption is an effective way to effectively and securely transmit the data. With this motivation, this paper presents a new Low Complexity Compression Then Encryption using Optimal Homomorphic Encryption (LCCE-OHE) technique for secured fiber optic communication. The proposed LCCE-OHE technique operates on two major phases namely compression and encryption. At the first stage, low complexity compression using Neighboring Indexing Sequence (NIS) with Deflate algorithm, named Normalized Information Distance (NID) is used. Besides, in the second stage, Quasi Oppositional Sail Fish Optimizer with Homomorphic Encryption (QOSFO-HE) technique is employed. The QOSFO algorithm is derived by incorporating the quasi oppositional learning (QOBL) concept to the SFO algorithm and is applied to optimally select the encryption keys. The performance validation of the proposed model takes place on two benchmark datasets and the experimental results are examined interms of different performance measures. The experimental values highlighted the improved compression efficiency and security level of the LCCE-OHE technique over the other techniques. 2022 Elsevier GmbH -
Efficiency evaluation of total manufacturing sectors of India DEA approach
Efficiency, Productivity and Competitiveness are some of the performance indicators of any manufacturing firm. In Indian soil manufacturing industry plays predominant role in the countrys economy. Industrialization of manufacturing sectors generates employment, income and promotes GNP. To institute suitable policy measures it is desirable to divide the total manufacturing sectors of Indian states into efficient and inefficient. This study treats the total manufacturing sectors of a state as a decision making unit. 14 states account for more than 80% of total value added. Data Envelopment Analysis models are used to assess the efficiency of total manufacturing sectors of 14 Indian states. Research India Publications. -
Base mediated spirocyclization of quinazoline: One-step synthesis of spiro-isoindolinone dihydroquinazolinones
A novel approach for the spiro-isoindolinone dihydroquinazolinones has been demonstrated from 2-aminobenzamide and 2-cyanomethyl benzoate in the presence of KHMDS as a base to get moderate yields. The reaction has been screened in various bases followed by solvents and a gram scale reaction has also been executed under the given conditions. Based on the controlled experiments a plausible reaction mechanism has been proposed. Further the substrate scope of this reaction has also been studied. This journal is The Royal Society of Chemistry. -
Second Order Parallel Tensor on Almost Kenmotsu Manifolds
Let M be an almost Kenmotsu manifold of dimension 2n + 1 having nonvanishing ?-sectional curvature such that tr? > -2n -2. We prove that any second order parallel tensor on M is a constant multiple of the associated metric tensor and obtained some consequences of this. Vector fields keeping curvature tensor invariant are characterized on M. Kyungpook Mathematical Journal -
Real hypersurfaces of complex space forms satisfying FischerMarsden equation
Let M be a real hypersurface of a complex space form of constant curvature c. In this paper, we study the hypersurface M which admits a nontrivial solution to FischerMarsden equation, that is, the induce metric g of M satisfies Hessg(?) = (?g?) g+ ?Sg, where ? is a nontrivial function. We prove that there does not exist a complete Hopf real hypersurface in a non-flat complex space form satisfying FischerMarsden equation. Finally, we show that a complete real hypersurface with A?= ??, ?? 0 , of a complex Euclidean space Cn satisfying FischerMarsden equation is locally congruent to a sphere or S1R2n-2. 2021, Universitdegli Studi di Ferrara. -
Ricci recurrent almost kenmotsu 3-manifolds
In this paper, we obtain that a Ricci recurrent 3-dimensional almost Kenmotsu manifold with constant scalar curvature satisfying ?? h = 0, h ? 0, is locally isometric to the Riemannian product H2 (?4). 2021, University of Nis. All rights reserved. -
On m-quasi Einstein almost Kenmotsu manifolds
In this article, we consider m-quasi Einstein structures on two class of almost Kenmotsu manifolds. Firstly, we study a closed m-quasi Einstein metric on a Kenmotsu manifold. Next, we proved that if a Kenmotsu manifold M admits an m-quasi Einstein metric with conformal vector field V, then M is Einstein. Finally, we prove that a non-Kenmotsu almost Kenmotsu (?,?)' -manifold admitting a closed m-quasi Einstein metric is locally isometric to the Riemannian product Hn+1Rn, provided that ?-?(2n+m)/2m = 1. 2021 Universita degli Studi di Parma. All rights reserved. -
Circulating Current Control in Modular Multilevel Converter Using a Super Twisted Sliding Mode Control
A Modular Multilevel Converter (MMC) has gained widespread popularity due to its notable advantages, including high efficiency, flexibility, minimal harmonic distortion, lower power device ratings, modularity, and scalability. Despite these benefits, the MMC encounters challenges such as voltage balancing and circulating currents. The primary objective is to balance capacitor voltages in each submodule without excessive power electronic device switching. To address this, a controlled switching frequency technique is employed to reduce the average switching frequency of the devices, mitigating voltage imbalances. However, challenges persist, notably the introduction of even-order harmonics with the second harmonic being particularly prominent in inner current. These even order harmonic components contribute to increased power losses, device stress, and potential system instability. Conventional methods of suppression of circulating currents have limitations in harmonic elimination and complex in implementation. This paper proposes a super twisting sliding mode control (SMC) to concurrently manage balancing of capacitor voltages and control of circulating currents in the MMC. The controller effectively reduces the harmonic components, with a focus on the dominant second harmonic in inner currents. Phase disposition (PD) PWM is utilized for MMC phase control, and the proposed controller, initially implemented for a single-phase MMC, demonstrates potential extension to three-phase systems. Comparative analysis with conventional PI controllers and the presentation of results in the MATLAB/Simulink environment validate the efficacy of the proposed super twsiting SMC controller. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Experiential Learning: Benefits, Challenges and Pedagogical Insights for Students Performance at Workplace: Effective Teaching Methods for Students in Organisational Psychology
In an era of rapid technological disruption, today's world of work is driven by these advancements, resulting in business uncertainties and a demand for project-ready recruits. Organisations now require role-ready hires, rendering extended training periods obsolete. Eligibility exams post job offer have replaced this, with successful candidates placed directly into projects. Hence, this study argues the pedagogy of human resource (HR), organisational behaviour, organisational development (OD), and Business Psychology at the master's level needs to be experiential so that students transition seamlessly into jobs with industry-aligned competencies. while existing research evaluates teaching methods such as case studies and lectures in academic settings, few examine their workplace applicability. This qualitative study fills this gap by investigating how pedagogical approachesspecifically continual assignments, case studies, presentations, OD activities deployed in the classroom and the internship experience gear them up to secure jobs and perform efficiently. The study implies that these methods cultivate systems thinking, equipping students to diagnose and address organisational disparities. It calls for curriculum redesign to integrate such practices, supported by heuristic evidence from OD practitioners. 2026 by John Wiley & Sons, Ltd. All rights reserved. -
Developing a Model of Content Marketing in Creative Economy Marketing Strategies to Influence Consumer Purchase Intentions
The creative economy, which is a cluster of industries encompassing arts and crafts, audio and video, visual arts, architecture, performing arts, fashion, design, and so on, building on human creativity, knowledge, and technology, is to be given more precedence in the Indian economy. This work aims at building a model that can act as a foundation to promote the creative economys performance by keeping marketing function as the key component to success. The model contemplates what factors of content marketing activities have to be prioritized so as to help a creative business unit increase its visibility and impact the attention of consumers. This study classifies the model into two components. Component 1: creative business unit model and Component 2 of the content marketing strategy model. As the model is a working model and is not proven empirically, it can be further used by researchers and marketers for advanced research and development. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Infusing Circular Reporting Model and Creative Marketing Mix for a Progressive Orange Economy: A Study with reference to Creative Business Units in Karnataka, India in the Post Covid-19 Pandemic
The orange economy which is also known as the creative economy has been an unrecognized industry though it has been a major contributor to economic growth and development. In this research an introspection has been done on four major economic factors such as: Choice of creativity with available resources, Marketing the good with unique strategies, Supply chain of good and services and tackling the demand fluctuations. These four factors rule the creative economy and hence the interlink between all these factors and its impact on the success of orange economy has been discussed in this research. The data has been collected from 30 small-owned creative business units which are spread across Karnataka. An interview schedule has been conducted with the creative business owners to understand the creative business units and its functionality. The structured interview has three layers which include (layer 1: questions related to creative business, layer 2: impact of Covid-19 pandemic on creative business units and layer 3: questions related to marketing, promotion and sales strategies used by creative business units. All the collected data has been exposed to a manual qualitative content coding to find new variables, new themes, cause, and effect and to construct a new conceptual model. The model has been suggested to the creative business units for active consideration and implementation. If the creative business units make use of the suggested marketing mix and strategies, they will be able to sustain themselves in the post-Covid-19 pandemic. The Author(s) 2023. -
A research on profitability and dividend using Arima model with reference to steel sector
In India Indian, Iron and Steel Industry plays significantly for the overall growth and development of the country. Based on the budget of Ministry of Steel declares that steel industry contributes 2% of the Indias GDP, and its weight is 6.2% in the Index of Industrial Production(IPP). The sector able to grow by itself globally. In India steel production in one Million Tones in 1947, now its become the world's 2nd largest producer next to China. India's GDP declines 5% in 2019 on account of rising Inflation, GST and strict monetary control. This medium made the domestic demand weeker which grew 3.3% in 2019, Despite the rise in last Quater. BEIESP. -
Naxalism in India: The Challenge of Child Soldiers and its Remedy
This article focuses on Naxalism, a form of communism, in India, investigating the impact on children of growing up in Naxal-affected areas and the often-overlooked issue of child soldiers in India. It also highlights the various laws, treaties and constitutional provisions in India concerning children and makes suggestions for ways of tackling the problems of child soldiering and Naxalism that can ensure more inclusive and harmonious growth and development in these regions. 2020 Melbourne University Law Review. All rights reserved. -
Sensitivity Analysis of Operational Parameters of a High Temperature-Proton Exchange Membrane Fuel Cell
The lack of widespread commercialization of High-Temperature Proton Exchange Membrane Fuel Cells (HT-PEMFC) is primarily due to their poor performance and durability. Various factors impact the performance of fuel cells, one such crucial factor being the operational parameters. Suitable operating conditions not only enhance the output cell performance but also extend a fuel cell's life. Current research on the impact of operational factors on HT-PEMFC performance is largely qualitative in nature, with no quantitative indication of affecting the sensitivity of these parameters. In the present work, a three-dimensional, non-isothermal HT-PEMFC model developed earlier is used to investigate the influential sensitivities of five crucial operating parameters, each with four different levels, and is analyzed quantitatively using six evaluation indexes. The orthogonal/Taguchi method L16(45) is implemented to investigate the impact of operating parameters quantitatively. Further, the effect of each operating parameter on evaluation indexes under different operational current density regimes is investigated. The findings show that, of the parameters chosen, the working temperature and cathode pressure are the most sensitive to cell voltage and cathode overpotential distribution under all operating current density regimes. The findings would provide more precise recommendations for experimental research targeted at improving cell performance by optimizing operational parameters. 2023 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited.; Highlights Influential sensitivities of crucial operating parameters are investigated. The orthogonal method is employed to investigate the impact of operating parameters. Impact of operational parameters on uniformity of species distribution is examined. The sensitivity of each operating parameter on evaluation indexes is investigated. The varying trends of operating parameters under different current density regimes is studied. 2023 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited. -
Stability Testing and Restoration of a DEIG-Based Wind Power Plant with Indirect Grid Control Strategies
In the current scenario, because of government policies, environmental factors, and technological improvements, there is a rapid growth in renewable energy sector. The emphasis is to obtain better system performance by effective resource utilization and providing security and reliability. This paper discusses the design and implementation of indirect grid control of a wind power plant by controlling the parameters in both grid and rotor side converters. The proposed system consists of Doubly Excited Induction Generator (DEIG) with Wind turbine system (WTS) and Mechanical and Electrical Power Controlling Systems (MPCS-EPCS). Various transmission line faults (symmetrical and asymmetrical faults) incur power imbalances in power grid. The developed MPCS and EPCS are helpful to perform grid monitoring and controlling under different types of faulty conditions. The MPCS monitors the effective source utilization and EPCS helpful for matching the grid energy levels under normal and faulty conditions. Modification in the converter topologies to minimize the impact of adverse effects of faults on the DEIG-WTS and to improve resiliency in the power grid is also discussed. To improve the stability and enhancing resource utilization to improve the efficiency of the overall system with the enhancement of fault voltage ride-through capability in DEIG-WTS under fault conditions are also considered. The stability of the system is tested under steady-state and dynamic-state conditions by applying faulty conditions in MATLAB/Simulink environment. 2023 IETE. -
Assessment of male millennial digital purchase intent with regard to online fashion
There has been a tremendous growth in the number of people opting for online purchases in recent years especially among the tech savvy millennials not just in tier 1 city by also in tier 2 and 3 cities of Karnataka, Reasons for such a massive growth can be a result of several benefits offered by online shopping such as convenience, time-saving, reduces time and cost of travelling and avoiding traffic chaos in metro cities and so on. Also, we can observe from previous studies that online shopping is widely preferred by females when compared to males in India and also male millennials are reluctant to opt for online purchases (Chaudhary et al.2022). Thus, there exists a need to find out the factors affecting digital purchase intent among male millennials with regard to online fashion Purchases. This study aims to assess the validity and reliability of the measurement instrument, assess the issues and challenges faced by male millennials and mediating effect of e-satisfaction and e-experience. 2024, IGI Global. All rights reserved.