246 research outputs found
Load Balancing in Cloud Computing Empowered with Dynamic Divisible Load Scheduling Method
The need to process and dealing with a vast amount of data is increasing with the developing technology. One of the leading promising technology is Cloud Computing, enabling one to accomplish desired goals, leading to performance enhancement. Cloud Computing comes into play with the debate on the growing requirements of data capabilities and storage capacities. Not every organization has the financial resources, infrastructure & human capital, but Cloud Computing offers an affordable infrastructure based on availability, scalability, and cost-efficiency. The Cloud can provide services to clients on-demand, making it the most adapted system for virtual storage, but still, it has some issues not adequately addressed and resolved. One of those issues is that load balancing is a primary challenge, and it is required to balance the traffic on every peer adequately rather than overloading an individual node. This paper provides an intelligent workload management algorithm, which systematically balances traffic and homogeneously allocates the load on every node & prevents overloading, and increases the response time for maximum performance enhancement
A Critical Analysis of Policy Initiatives for Empowering the Other Gender
Women account for almost 50 % of the populace of any nation; therefore, their contribution to growth cannot be overlooked. Females are unquestionably the foundation of every civilization, performing numerous tasks every day. They have, nevertheless, been a marginalized section of the community in many areas of the globe. Female’s roles in India have always been much larger than their social definitions, which reflect the overall gender prejudice. A country cannot achieve its long-term goals without trained women since women are the moms who write a generation’s destiny. Chetan Sanghi, Joint Secretary, Ministry of Women and Child Development, once said: “We would like to change the paradigm to women-led development”. In India, female rights have improved dramatically in the past several years. In India, a significant number of females are leaving their homes to pursue education. To restore their rightful and dignified status, governments, NGO’s, various agencies have initiated empowerment programmes that deliver a powerful basis to raising the internal solid point in addition to self-worth for the rural females. The Indian government has proclaimed 2001 to be the year of female liberation. The Rajya Sabha approved the Female’s Quota Bill on March 9, 2010, one day after International Women’s Day, guaranteeing 33 % seats for women in parliament and state parliaments. Now is the moment to recognize the importance of women’s empowerment via knowledge and leadership advancement in a fast-growing nation like India. This article aims to examine problems connected to female liberation and to provide solutions in the form of different government policies to achieve this goal.Prince Sattam bin Abdulaziz University project number (PSAU/2023/R/1444
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Authentication systems are vulnerable to model inversion attacks where an
adversary is able to approximate the inverse of a target machine learning
model. Biometric models are a prime candidate for this type of attack. This is
because inverting a biometric model allows the attacker to produce a realistic
biometric input to spoof biometric authentication systems.
One of the main constraints in conducting a successful model inversion attack
is the amount of training data required. In this work, we focus on iris and
facial biometric systems and propose a new technique that drastically reduces
the amount of training data necessary. By leveraging the output of multiple
models, we are able to conduct model inversion attacks with 1/10th the training
set size of Ahmad and Fuller (IJCB 2020) for iris data and 1/1000th the
training set size of Mai et al. (Pattern Analysis and Machine Intelligence
2019) for facial data. We denote our new attack technique as structured random
with alignment loss. Our attacks are black-box, requiring no knowledge of the
weights of the target neural network, only the dimension, and values of the
output vector.
To show the versatility of the alignment loss, we apply our attack framework
to the task of membership inference (Shokri et al., IEEE S&P 2017) on biometric
data. For the iris, membership inference attack against classification networks
improves from 52% to 62% accuracy.Comment: This is a major revision of a paper titled "Inverting Biometric
Models with Fewer Samples: Incorporating the Output of Multiple Models" by
the same authors that appears at IJCB 202
Evaluating the antiproteinuric efficacy of cilnidipine in diabetic kidney disease
Background: Diabetic kidney disease is a life threatening and disabling complication of uncontrolled diabetes mellitus. Clinical proteinuria is a well-established marker of renal dysfunction. A dual L/N-type calcium channel blocker cilnidipine dilates the afferent and efferent arterioles of the glomerulus decreasing the intraglomerular pressure and showing antiproteinuric effects. The present study was conducted to assess the antiproteinuric efficacy of cilnidipine in patients of diabetic kidney disease.Methods: This interventional study was conducted on 50 patients of both genders aged 18 years and above with diabetic nephropathy (stage-2 to stage 4) visiting the medicine OPD at HIMS, Dehradun over a period of six months, the patients were given tablet cilnidipine (5-20 mg) once or twice a day. Baseline urine protein creatinine ratio (UPCR), serum creatinine and the estimated glomerular filtration rate (eGFR) was recorded at baseline and repeated after a period of 12 weeks. The end point was the decrease in UPCR after a period of 12 weeks. Students-paired T test was used for analysing the intragroup data.Results: After 12 weeks of treatment with cilnidipine, a significant reduction was observed in the urinary protein creatine ratio (mean±SD) from 3.2±1.23 at baseline to 3.09±1.09 respectively (p<0.05). Along with this there was also a reduction in the in serum creatinine which was significant (p<0.05) as well as an increase in the eGFR value which was also statistically significant (p<0.001).Conclusions: Cilnidipine reduces the UPCR as well as improves the kidney function in patients with diabetic kidney disease
The Portrayal Of Women In Advertisements: A Critical Analysis Of The Role, Participation, And Empowerment
The study qualitatively explores several past and recent advertisements that have evolved, conflicting
and defeating women's roles in society. The study further discusses how advertisements have
accelerated the concept of 'emphasized femininity' (Patterson et al., 2009) through the inevitable maledominated
population discussed by Brule (2020). It contributes to an ever-expanding challenge of
gender disparity, stereotyping women and docile responsibilities, thereby propagating inequalities
through the digital and printed advertising world. The objective of the research is to purposely select
regular advertisements and their symbolic representation that might have promoted women's
engagement, their struggle, either responsible for identity stagnation or an expansive identity. The
paper has strategically reviewed popular content that uncovers to transform societal myth and
women objectification in restoring their equal natural existence. The study concludes the usage and
abuses of advertisement concordant to inter-disciplinary inquiry into the laws, policies, and sociopolitical
activities within a democratic state
Effect of Salinity on Cotton Seed Germination and Seedling Survival
Salinity is a major threat in Pakistan due to use of low quality water. Present study was conducted  to evaluate MNH-886 at different salinity levels by using 3 different experiment. In first experiment seed of MNH-886 was grown in Petri dishes and data of germination was taken by applying 23 NaCl treatments from 0-1300 mM. Results showed that germination is get hampered by high salt concentration. Even at the concentration of 100 mM it lowered to 80% and become zero at 700 mM NaCl solution. In second and third experiment seedling survival was tested  in MS media and hydroponic. From both of these experiment it was found that survival rate decrease greatly with increase in salt concentration. On the basis of hydroponic results it is assumed that MNH-886 is not good performer under salinity stress Keywords: MNH-886, Germination, survival, hydroponic medi
Underlying Effect of Customer Satisfaction on Repurchase Intentions: Mediating role of Trust and Commitment
Pakistani banking industry rivalry becomes more intense with the development of this sector. This study aims to examine the relationship between customers satisfaction and repurchase intentions through the prologue of trust and commitment as mediators in the banking industry of Pakistan. 225 customers of banks was included in the analysis with 87% response rate. Results showed positive relationship between satisfaction and repurchase intentions, trust and repurchase intentions, trust and commitment. Satisfaction positively enhances the trust subsequently trust fosters the commitment and this increase the repurchase intentions of customer. Commitment and trust both are act as mediators between customers satisfaction and repurchase intentions. These findings have strategic implications for increasing customers repurchase intentions in banking industry of Pakistan. Keywords: Satisfaction, Trust, Commitment, Repurchase intention
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