A Secured Multi Agent Architecture for Grid Computing

Grid computing provides big possibilities like resource sharing, resource virtualization, and capacity planning since diverse resources that are geographically dispersed are virtualized as a single entity. The associated security concerns are one of the key obstacles preventing grid computing from being broadly adopted and used. Users in a grid are concerned about the security of their assets and the privacy of their data. A host's security in terms of its data or virtual servers may be jeopardised when it interacts with a grid. By providing multilateral security, i.e., security for both the Grid client and the Grid supplier, our building design expands the degree of assurance that can be placed on the accuracy of a Grid calculation and the assurance of client-provided resources. We discuss the issue of ensuring security and present the multi-agent security construction analysis. The paper outlines a multi-agent strategy for protecting the grid environment's resources. The strategy is put forth to address the grid computing industry's growing, serious security issue. The paper defines a multi-agent security architecture that integrates the capabilities of agents with the Grid Security Infrastructure's basic security mechanism (GSI). A security Master agent and a few security task execution agents make up the strategy

Association of maternal serum alpha fetoprotein with persistent placenta previa

AIM OF THE STUDY: 1. To evaluate the relationship between maternal serum Alpha fetoprotein and the risk of persistent placenta previa. 2. To evaluate and know about correlation of different values of MSAFP and the degree of invasion of placenta previa. 3. To decide on early termination of pregnancy and to save life of both mother and the baby. METHODOLOGY: Study: A prospective analytical study. Place: Institute of Obstetrics and Gynaecology. Period: April 2014 - September 2014. Sample Size:100 cases. Inclusion Criteria: Pregnant women with sonographic evidence of placenta previa at 15-20 weeks of gestation Exclusion Criteria: 1. Delivery before 24 weeks of gestation, 2. Anomalous foetus, 3. Multiple pregnancy, 4. IUFD, 5. Placental abnormalities. STUDY MATERIAL: 3 ml of venous blood was collected from antenatal mothers with sonographic evidence of placenta previa at 15-20 weeks of gestation who attended in ANOP at IOG. Estimation of MSAFP was done by chemiluminescence assay from the serum which was collected. Multiples of median (MOM) values had been derived for our population, adjusted for gestational age. PRIMARY OUTCOME: The pregnancies in which caesarean delivery was performed for persistent placenta previa is our primary outcome. Additional outcomes are indicated caesarean hysterectomy and pathological evidence of placental invasion. RESULTS: 100 Antenatal women had sonographic evidence of placenta previa at 15-20 weeks of gestation were subjected for maternal serum alpha fetoprotein screening. • All 100 women were delivered either vaginally or by caesarean section of non anomalous live born infants at or after 24 weeks of gestation. Out of 100 patients, 45 (45%) had persistent placenta previa confirmed at the time of delivery. • Of these 45 women who had placenta previa at the time of delivery, 18 cases (40%) underwent caesarean hysterectomy. out of these 18 cases of caesarean hysterectomy, 13 cases (72%) had abnormal placental invasion, which was confirmed by histopathological study. Out of these 13 cases, 6 cases were placenta accreta, 2 cases were increta and 5 cases were placenta percreta. In these 18 cases most of them had preterm delivery. • In this study 27 cases had previous caesarean delivery, out of 27, 26 cases had persistence of placenta previa at term compared to 19 out of 54 cases with non prior caesarean delivery. So Women who had prior caesarean delivery had a higher incidence of persistence of placenta previa in this study There was good statistical significance with parity, previous lscs, previous vaginal delivery but there was no statistical significance with maternal age, previous abortion regarding persistence of placenta previa. • The likelihood of persistence increased significantly with increasing MSAFP in MOM value. The mean MSAFP in MOM value for persistent placenta previa was > 1.1 and the mean MSAFP in MOM value for caesarean hysterectomy was > 1.7. • Mid trimester MSAFP 1.1 MOM there is significant statistical correlation of persistence of placenta previa since p value is 0.0001 (95% CI 60-87%). • Using multiple logistic regression ,traditional risk factors for placenta previa persistence were compared with MSAFP MOM value. Thus MSAFP is considered as an independent risk factor and can be used as predictor for detecting persistence of placenta previa at term, in the second trimester itself. CONCLUSION: Antenatal women with sonographic evidence of placenta previa between 15-20 weeks of gestation have a greater likelihood of persistent placenta previa with increased values of MSAFP. If MSAFP values < 1.1 MOM there is a decreased likelihood of persistence of placenta previa at term. MSAFP proved to be particularly useful in subgroup of women having incomplete placenta previa at 15-20 weeks of gestation. • MSAFP value more than 1.1 MOM is significantly associated with the risk of persistence of previa comparable to other risk factors such as complete placenta previa, multi parity and previous caesarean delivery. • In this study the risk factor associated with highest risk of placenta previa persistence is prior caesarean delivery. • Also found that there is a great association between MSAFP and occurrence of placenta accreta, thus deficient decidualization is likely responsible for elevated MSAFP due to disruption of placental barrier. In the present scenario, clinicians and patients are interested in having a suitable serum marker which represents a persistence of placenta previa at term in early pregnancy. Thus this data confirms the above mentioned statement. • In this study if the value of MSAFP is >1.1MOM then there is high chance of occurrence of persistent placenta previa and if the values are >1.7MOM there is higher chance of occurrence of adherent placenta. • This study reveals elevated MSAFP is an adjuvant tool to diagnose the persistence of placenta previa in addition with Sonography. So if MSAFP level > 1.7 MOM and Sonography reveals the placental invasion, patient can be counselled for increase risk of caesarean hysterectomy. • It helps the clinician to motivate the patient to have tertiary level of care and plan for elective surgery. • The combination of Ultrasound and MSAFP is cost effective compared with MRI in diagnosing persistent placenta previa and its invasion. • Thus the estimation of maternal serum alpha fetoprotein in 16-20 weeks of gestation in these patients can predict the persistence and invasion of placenta previa at term

Residual Resource Defragmentation Based on ECRC (Enhanced Cloud Resource Consolidating)

Abstract In cloud computing, server consolidation is the part where very few persons go through the same. By consolidating the unused server space, memory can be reused for another data allocation. The objective of this paper is to improve resource utilization. Residual resource fragmentation refers to the state of the data center where sufficient amount of residual resources are available for any new VM allocation. To achieve this, there are three methods followed here. Active physical servers are identified. Then the maximum utilization of the resources is found out. Finally the resources are allocated and scheduled using the developed algorithm. In this work, we have proposed a new algorithm enhanced cloud consolidating algorithm. This algorithm improves some of the qualities of the cloud consolidating algorithm. Here the allocation technique is based on the cost and the memory

Changes in biochemical constituents and antioxidant enzyme activity in groundnut (Arachis hypogaea L.) by the addition of coated multi-nutrient fertilization in calcareous soil

Sulphur and micronutrients play a vital in the growth and development of plants due to their catalytic effect on many metabolic processes. A field experiment was conducted to explore the changes in various biochemical constituents and antioxidants enzyme activities in response to coated multi-nutrient fertilization. The experiment consisted of five organic acids (citric acid, humic acid, fulvic acid, salicylic acid) and amino acid (glycine) coated multi-nutrient fertilizer sources applied at five different levels (0, 5, 10, 12.5 and 15 kg ha-1). Groundnut leaf samples were collected and analyzed for biochemical constituents such as proline, soluble protein and antioxidant enzymes viz., superoxide dismutase, catalase, peroxidase and carbonic anhydrase activities at harvest stages. The results revealed that, application of fulvic acid coated multi-nutrient fertilizer at 15 kg ha-1 registered lesser proline (5.93 µmoles g-1) and higher soluble protein (22.2 mg g-1) content, superoxide dismutase (8.93 EU mg-1), catalase (18.2 µg H2O2 min-1 g˗1), peroxidase (6.11 µg min-1 mg˗1) and carbonic anhydrase (14.8 EU mg-1) activities at harvest stage followed by 12.5 kg humic acid coated multi-nutrient fertilizer. The lesser response was noted with NPK control in influencing the biochemical constituents and antioxidant enzymes. It was concluded that fulvic coated multi-nutrient fertilizer at 15 kg ha-1 was the better source for improving the biochemical constituents and antioxidant enzymes of groundnut in calcareous soils

Communication strategies of a Malaysian politician in Tamil during the COVID-19 pandemic

The world in general was not prepared for the coronavirus disease 2019 (COVID-19) pandemic in December 2019, which caused massive deaths. Government officials were forced to impose drastic measures to curb the spread. The Ministry of Health relied on political leaders and government agencies to help disseminate as much health information and the government policies efficiently and effectively. As these representatives or leaders belong to different ethnicities, they are more likely to understand the life circumstances, needs, strengths, and capabilities of multicultural and vulnerable communities, and would be the best people to convey the needed information. Tamils are the third largest community in Malaysia and there is not much research done on Tamil language and communication strategies during the COVID-19 pandemic. Thus, this study aims to observe on how effectively Tamil language and culture influences crisis communication. Effective communication and leadership are central to the management of pandemics and to give the public assurance in order to alleviate their fears and anxiety in having to adapt to the rapidly changing societal and economic landscape. Based on the communication strategies recommended by Hyland-Wood et al (2021), the current study focuses on how a Malaysian Indian politician, Saravanan responds, engages, and communicates with his followers. Seventeen Facebook posts in Tamil on Saravanan’s page were extracted and analysed qualitatively. The strategies utilized by Saravanan showed his resolve and effectiveness in managing crisis. This study will be useful for political leaders, community representatives, and medical practitioners in seeking equitable accessibility to quality health care and well-being of the people

An Efficient Human Identification through MultiModal Biometric System

ABSTRACT Human identification is essential for proper functioning of society. Human identification through multimodal biometrics is becoming an emerging trend, and one of the reasons is to improve recognition accuracy. Unimodal biometric systems are affected by various problemssuch as noisy sensor data,non-universality, lack of individuality, lack of invariant representation and susceptibility to circumvention.A unimodal system has limited accuracy. Hence, Multimodal biometric systems by combining more than one biometric feature in different levels are proposed in order to enhance the performance of the system. A supervisor module combines the different opinions or decisions delivered by each subsystem and then make a final decision. In this paper, a multimodal biometrics authentication is proposed by combining face, iris and finger features. Biometric features are extracted by Local Derivative Ternary Pattern (LDTP) in Contourlet domain and an extensive evaluation of LDTP is done using Support Vector Machine and Nearest Neighborhood Classifier. The experimental evaluations are performed on a public dataset demonstrating the accuracy of the proposed system compared with the existing systems. It is observed that, the combination of face, fingerprint and iris gives better performance in terms of accuracy, False Acceptance Rate, False Rejection Rate with minimum computation time