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ANN based pattern generation, design and simulation of broadband fractal antenna for wireless applications
The synthesis of microstrip antenna(MSA) remains complex and time consuming from convenient design point of view. The Artificial Neural Network (ANN) on the other hand provides quicker and accurate solutions while multiple parameters controlling MSA designs. This paper proposes a new type of square fractal antenna (SFA) structure iterated and optimized by ANN developed using Advanced C and simulated using HFSS for optimum resonance characteristics covering 1.6-6.6 GHz frequency range. The motivation behind this work is size reduction of MSAs through FA concept with broadband resonance. It is suggested that the proposed antenna can be a right choice for various wireless applications because of its broadband functionality. 2016 IEEE. -
Announcement effect of tender offer share buyback around turmoil period evidence from India
The announcement of a buyback informs the market about the companys decision to repurchase its own shares. This announcement highlights the companys price valuation and the inefficiencies that exist in the market. This study examines the share buyback announcement effect during the COVID-19 period. The study considered the stocks listed in the National Stock Exchange (NSE) that offered share buyback under tender offer mode during the pre-pandemic period between April 2016 and February 2020 and the post-pandemic period between March 2020 and March 2022. 75 firms in the pre-pandemic period and 43 in the post-pandemic period that announced share buyback under the tender offer method were analyzed. The event study methodology using a market model was employed to determine the presence of abnormal returns during the event period, which consisted of 21 days and +21 days. The findings of the study revealed the existence of abnormal returns in and around the announcement date. Besides, statistically significant cumulative abnormal average returns (CAAR) were also found on the event day, i.e., on Day 0. The study found that the impact of buyback announcements on stock returns significantly differed before and after COVID-19 for 10 and 21-day periods, with no significant differences for shorter periods. These insights can help traders and fund managers make informed portfolio adjustments during turbulent market periods surrounding buyback announcements. The author(s) 2024. -
Anomalous indirect carrier relaxation in direct band gap atomically thin gallium telluride
We report ultrafast studies on atomically thin Gallium telluride, a 2D metal monochalcogenide that has appeared to display superior photodetection properties in visible frequencies. Pump photon energy-dependent spectroscopic studies reveal that photoinduced carriers in this direct band-gap material undergo indirect relaxation within ?30 ps of photoexcitation, which is at least an order slower than that of most 2D materials. Despite the direct band-gap nature, slow and indirect carrier relaxation places this layered material as a prime candidate in the multitude of atomically thin semiconductor-based photodetectors and highlights the potential for prospective optoelectronic applications. 2023 American Physical Society. -
Anonymization Based Deep Privacy Preserving Convolutional Autoencoder Learning Technique for High Dimensional Data Clustering in Big Data Cloud
Data Clustering is a primary research focus in large data-driven application domains in the big data cloud as performance of the clustering dynamic data with high dimensionality is highly challenging due to major concern in the effectiveness and efficiency on data representation. Machine learning is a conventional approach to distribute the data into soft partition still it leads to increasing sparsity of data and increasing difficulties in distinguishing distance between data points. In addition, securing the personnel and confidential information of the user is also becoming vital. In order to tackle those issues, a new anonymization based deep privacy preserving learning paradigm has been presented in this paper. The proposed model is represented as deep privacy preserving convolutional auto encoder learning architecture for secure high dimensional data clustering on inferring the distribution of the data over time. Initially dimensionality reduction and feature extraction is carried out and those extracted feature has been taken for clustering on generation of objective function to produce maximum margin cluster. Those clusters are further fine tuned to feature refinement on the hyper parameter of various layers of deep learning model network to establish the minimum reconstruction error by feature refinement. Softmax layer minimizes the intra cluster similarity and inter cluster variation in the feature space for cluster assignment. Hyper parameter tuning using stochastic gradient descent has been enabled in the output layer to make the data instance in the cluster to be close to each other by determining the affinity of the data on new representation. It results significant increase in the clustering performance on the discriminative informations. Detailed experimental analysis has been performed on benchmarks datasets to compute the proposed model performance with conventional approaches. The performance outcome represents that anonymization based deep privacy preserving clustering learning architecture can produce good scalability and effectiveness on high dimensional data. 2023 American Institute of Physics Inc.. All rights reserved. -
Ant colony based mechanism for increasing life time of critical nodes
MANET nodes act as a host as well as a router which increases the significance of every node for their participation in communication. Loss of any node in the network results in failure of links connected to the node which brings the importance of increased lifespan of a node. Some nodes during frequent transaction at critical network scenario consume more energy and become ill with critical energy level. Special attention towards these nodes can improve the lifespan of the node. In this paper an ant colony-based pheromone deposition mechanism was proposed to extend the lifetime of ill nodes. Pheromone deposited for the neighbor in the pheromone table helps in identifying frequently communicated neighbor. The proposed algorithm identifies the ill node and requests its frequently communicated neighbor for a tie up. The neighbor shares the workload of the ill node with mutual agreement. This method also improves the performance of a network by limiting pheromone deposition practice for low weighted nodes with low energy and high density (packet in queue). The proposed method increases lifespan of ill nodes and thereby increases the lifetime of entire network. The proposed work was also compared with existing protocol and the results have proved that the proposed mechanism has increased lifetime and reduced energy consumption of the entire network. 2019 School of Science, IHU. All rights reserved. -
Ant Colony Systems- Enabled Wireless Network Communication
[No abstract available] -
Antecedent Factors in Adolescents Consumer Socialization Process Through Social Media
The research paper attempts to find the antecedent factors that influence in adolescents consumer socialization process through social media and its impact on family purchase. Consumer socialization of adolescents through social media has become a key indicator in the area of marketing because of predominant online interaction of consumer. Socialization process framework is adopted to investigate among 254 respondents. The results show there is positive influence of antecedent variables like age, social media and peer identification on Purchase Intention and the variable social media also influences Product Involvement in family decision making. The outcome of this research benefits the academicians and marketers to explore the impact of social media on adolescent in their family decision making. Springer Nature Switzerland AG 2020. -
Antecedents and Trajectories of the Child and Adolescent Mental Health Crisis: Assimilating Empirically Guided Pathways for Stakeholders
Importance: Amid and following the COVID-19 pandemic, there has been a growing focus on understanding the underlying etiology of the mental health crisis in children and youth. However, there remains a dearth of empirically driven literature to comprehensively explore these issues. This narrative review delves into current mental health challenges among children and youth, examining perspectives from both pre-pandemic and pandemic periods. Observations: Research highlights reveal concerning statistics, such as 1 in 5 children experience mental health disorders. The pandemic exacerbated these issues, introducing stressors such as job losses and heightened anticipatory anxiety. Race relations have emerged as a significant public health concern, with biases impacting students, particularly affecting Asian, black, and multiracial individuals. Substance use trends indicate a rise in overdose deaths, particularly among adolescents, with cannabis use linked to adverse outcomes. Increased screen time and income disparities further compound mental health challenges. Conclusions and Relevance: Proposed public health mitigation strategies include improving access to evidence-based treatments, implementing legislative measures for early identification and treatment of developmental disorders, and enhancing suicide prevention efforts. School-based interventions and vocational-technical education are crucial, alongside initiatives targeting sleep hygiene, social media usage, nutrition, and physical activity. Educating health care professionals about both physical and mental health is essential to address workforce burnout and effectively manage clinical complexities. 2024 Physicians Postgraduate Press, Inc. -
Antecedents of Adoption of Peer to Peer (P2P) Lending-A Fintech Innovation in India
This study examines the association between adoption variables and behavioural intention (BI) to adopt Peer to Peer (P2P) lending technology platform in India. A critical review of literature on technological and personal adoption factors led to development of the theoretical framework using multiple technology adoption models. Results support the generalizability of technology adoption readiness (AR), a parsimonious higher-order construct for the use and acceptance of technology context In addition, a personal antecedent, personal innovativeness (PIIT) was shown to positively affect behavioural intentions and technology adoption readiness. 2022 IEEE. -
Antecedents of brand love leading to purchase intention towards refurbished video game consoles
This paper examines different constructs that influence purchase intention of refurbished video game consoles to assess its multi-factorial association with brand love. The data was collected from video game console cafes in the cities of Bangalore and Pune, India. The findings demonstrate that adoption determinants and social influence have a positive influence on brand love, while notably, environmental involvement has a positive influence on an individuals purchase intention. Brand love would not singularly influence positive purchase intention in the context of refurbished video game consoles. The paper clarifies that brand love alone cannot influence the purchasing decision of an individual in the context of refurbished video game consoles, the companies selling or remanufacturing these products can benefit by advertising these products as being environmentally involved. This is the first paper that examines the effects of brand love and purchase intentions in the context of refurbished video game consoles. Copyright 2023 Inderscience Enterprises Ltd. -
Antecedents of consumer attitude and purchase intention towards counterfeit products
This paper aims to investigate the effect of information reliability, risk, and value consciousness on hedonic behaviour, attitude towards counterfeit products, and genuine store trustworthiness. Using a structured survey instrument, this paper gathered data from 449 respondents from three cities major cities (Kochi, Bangalore, and Chennai) in southern part of India. The hierarchical regression render support that: 1) information reliability is positively related to hedonic behaviour and attitude towards counterfeit products; 2) risk is negatively related to hedonic behaviour and attitude towards counterfeit products; 3) value consciousness is positively related to hedonic behaviour and genuine store trustworthiness; 4) hedonic behaviour and attitude towards products are related to purchase intention. In addition, the results also support the moderation hypotheses of materialism, value consciousness and social status. The study suggests that marketers need to understand the importance of non-deceptive counterfeiting is useful and consumers have tendency to prefer to use these products once they are satisfied with their utility. The conceptual model developed and tested in this research enables the marketing managers to understand the antecedents of consumers purchase intention of counterfeit products. Copyright 2024 Inderscience Enterprises Ltd. -
Antecedents of employee readiness for change in the IT sector and the manufacturing sector: A comparative study
A sample of 305 employees comprising nearly equal numbers from the manufacturing sector and from the information technology (IT) sector in India was assessed in terms of: 1) attributes of the individual employees (practical intelligence and creative behaviour); 2) processes (participation in making decisions and the quality of communication); 3) contextual factors (trust in management and history of change), to predict the readiness of the employees for change. The predictors of employee readiness for change differed between the two sectors, and the factor most closely related to the readiness was prior experience of organisational changes. Copyright 2018 Inderscience Enterprises Ltd. -
Antecedents of Ethical Goods and Services Tax Culture among young adults - Special Reference to Maharashtra and Karnataka
Since the implementation of the Goods and Services Tax (GST) in 2017, it has become clear that this new Indian indirect tax system is here to stay. The Indian GST Council is continuously deliberating and making efforts to improve GST revenue collection at the state and central levels. The focus is now on the young adults in the country who will play a vital role in shaping the future of GST compliance. Their tax mentality and behaviour in contributing to GST revenue as daily consumers will determine the ethical tax culture in India. They need to understand how crucial their role is in discouraging evasive practices by sellers in the unorganised retail sector at the point of sale. The study utilized structural equation modelling to test the acceptability of the model. The process was supported by a structured questionnaire, with 324 respondents between the age group of 17-30 years. Understanding GST significantly influences acceptance of GST as a tax system, however, the acceptance of the GST tax system does not significantly lead to young adults discouraging the evasive behaviour of sellers in the unorganised retail sector at the point of sale. And, finally, the discouragement of evasive behaviour by young adults does influence the possibility of an ethical GST tax culture. The respondents majorly represented young adults between 17-20 years of age. The model has not measured the existence of covariance among the variables, nor has any mediating or moderating factors been identified, as GST tax culture in the Indian context is still unexplored and GST in itself is relatively new in the country. 2024 IEEE. -
Antecedents of online impulsive buying behaviour: A meta-analysis
The advancement of technology has created curiosity among researchers and marketers in identify the possible antecedents to online impulsive buying. The concept of impulse buying is often defined as ?unplanned? purchase behaviour. Researchers have identified few factors based on a systematic review of literature. The factors have then been combined using Meta-Analysis to arrive at variables that act as antecedents to Impulse Buying behaviour. The variables identified include promotion, web atmospherics, online behaviour, shopping context, buyers emotions and buyers personality which all contribute significantly proving to be an important antecedent of impulsive online buying. The above identification of antecedents will help the marketing practitioners to understand and improve the characteristics of each antecedent. Further investigation can be done by further research scholars on finding if any variable could be added in enhancing the sales by creating a better impulse on the online platform. IJSTR 2019. -
Antecedents of organic food consumption in Delhi NCR
The consumption of organic food in increasing rapidly in the country. It has a significant impact on the environment, individuals and public health. This is an attempt to understand the antecedents of organic food and try to re-establish the relationship between the attributes of organic food, the utilitarian and hedonic attitudes and consumer purchase intentions. The SOR model has been used to support the theoretical framework for conducting the research on organic food products. The nutritional values, sensory appeal, environmental concern price and natural content of organic food products have significant and positive relationship on utilitarian and hedonic attitudes of the consumer. Even utilitarian and hedonic attitudes have a positively strong relationship on consumer purchase intentions for organic food products. 2021 Ecological Society of India. All rights reserved. -
Antecedents of visual merchandising decisions: An empirical evidence /
Researchers World, Vol.8, Issue 4, pp. 107-113, ISSN No. 2231-4172. -
Antenna Array Miniaturization using a Defected Ground Structure
A novel Defected Ground Structure (DGS) is proposed to miniaturize a 2 Modified Corporate Feed Planar Antenna Array (M-CFPA) with a modified corporate feeding network. The DGS altered the surface current distribution and shifted the resonance frequency to the lower side. After running a parametric sweep of length and width of the patch antenna element, achieved the miniaturized antenna array resonating at 2.4 GHz frequency. The proposed antenna array is designed using Rogers/RT Duroid 5,880 (2.2) substrate with a thickness of 1.6 mm. The overall dimensions of the proposed Planar Array with DGS (PA-DGS) is 25.2723 % lesser than M-CFPA. The M-CFPA has a peak gain of 11.53 dB with a-10 dB reflection coefficient bandwidth of 118 MHz. The proposed PA-DGS array exhibits a peak gain of 9.51 dB with 100 MHz-10 dB bandwidth. 2022, Walailak University. All rights reserved. -
Antenna Array with Non-Uniform Excitation and DNG Hybrid Metasurface for Next Generation Communication Equipment
This paper presents an approach for designing a hybrid metasurface array with nonuniform excitation. The proposed design features a unique feed network with minimal use of Quarter Wave Transformers (QWT's) to reduce the form-factor. The impedance matching between the feed network and the patch is achieved by adjusting the inset position and the gap between the patch and the feed. The metasurface consists of a hybrid metamaterial unit cell with five Split Ring Resonators (SRRs) on the bottom and a hexagonal ring made of six triangles on the top surface improves the bandwidth, gain and directivity of the proposed design. Equivalent circuit of the proposed array is modeled using ADS software. A prototype 1x4 array with metasurface is designed for a resonant frequency of 2.4 GHz and fabricated. A high gain of 9.46 dB with a -10 dB impedance bandwidth of 110 MHz is achieved, which amounts to an improvement of 16.36% gain and 31.58% bandwidth compared to conventional uniform excitation array. In terms of overall size, the proposed array antenna is reduced by 38.05% compared to traditional 1x4 microstrip array. 2021 IAMOT. All Rights Reserved. -
Anthocyanin Production from Plant Cell and Organ Cultures In Vitro
Anthocyanins are water-soluble pigments found in plants. They exist in various colors, including red, purple, and blue, and are utilized as natural colorants in the food and cosmetics industries. The pharmaceutical industry uses anthocyanins as therapeutic compounds because they have several medicinal qualities, including anti-obesity, anti-cancer, antidiabetic, neuroprotective, and cardioprotective effects. Anthocyanins are conventionally procured from colored fruits and vegetables and are utilized in the food, pharmaceutical, and cosmetic industries. However, the composition and concentration of anthocyanins from natural sources vary quantitively and qualitatively; therefore, plant cell and organ cultures have been explored for many decades to understand the production of these valuable compounds. A great deal of research has been carried out on plant cell cultures using varied methods, such as the selection of suitable cell lines, medium optimization, optimization culture conditions, precursor feeding, and elicitation for the production of anthocyanin pigments. In addition, metabolic engineering technologies have been applied for the hyperaccumulation of these compounds in varied plants, including tobacco and arabidopsis. In this review, we describe various strategies applied in plant cell and organ cultures for the production of anthocyanins. 2023 by the authors. -
Anthraquinone Production from Cell and Organ Cultures of Rubia Species: An Overview
The Rubia genus includes major groups of medicinal plants such as Rubia cordifolia, Rubia tinctorum, and Rubia akane. They contain anthraquinones (AQs), particularly alizarin and purpurin, which have pharmacological effects that are anti-inflammatory, antioxidant, anticancer, hemostatic, antibacterial, and more. Alizarin and purpurin have been utilized as natural dyes for cotton, silk, and wool fabrics since the dawn of time. These substances have been used in the cosmetics and food industries to color products. The amount of AQs in different Rubia species is minimal. In order to produce these compounds, researchers have established cell and organ cultures. Investigations have been conducted into numerous chemical and physical parameters that affect the biomass and accumulation of secondary metabolites in a cell, callus, hairy root, and adventitious root suspension cultures. This article offers numerous techniques and approaches used to produce biomass and secondary metabolites from the Rubia species. Additionally, it has been emphasized that cells can be grown in bioreactor cultures to produce AQs. 2022 by the authors.