A Lightweight and Attack Resistant Authenticated Routing Protocol for Mobile Adhoc Networks

In mobile ad hoc networks, by attacking the corresponding routing protocol, an attacker can easily disturb the operations of the network. For ad hoc networks, till now many secured routing protocols have been proposed which contains some disadvantages. Therefore security in ad hoc networks is a controversial area till now. In this paper, we proposed a Lightweight and Attack Resistant Authenticated Routing Protocol (LARARP) for mobile ad hoc networks. For the route discovery attacks in MANET routing protocols, our protocol gives an effective security. It supports the node to drop the invalid packets earlier by detecting the malicious nodes quickly by verifying the digital signatures of all the intermediate nodes. It punishes the misbehaving nodes by decrementing a credit counter and rewards the well behaving nodes by incrementing the credit counter. Thus it prevents uncompromised nodes from attacking the routes with malicious or compromised nodes. It is also used to prevent the denial-of-service (DoS) attacks. The efficiency and effectiveness of LARARP are verified through the detailed simulation studies.Comment: 14 Pages, IJWM

On-Chip AHB Bus Trace Analyzer for Real Time Tracing With Lossless Data Compression

The advanced micro controller bus  Architecture (AMBA) is widely used as the on-chip bus in System-on-Chip(SoC) designs. The important aspect of a SoC is not only which components or blocks it houses, but also how they are interconnected. AMBA is a solution for the blocks to interface with each other. The objective of the AMBA specification is to be technology independent, minimize silicon infrastructure while supporting high performance and low power on-chip communication. The biggest challenge in SoC design is in validating and testing the system. The Advanced High-performance Bus (AHB) is a part of the Advanced Microcontroller Bus Architecture (AMBA). Performance can be improved at high-frequency operation. Performance is independent of the mark-space ratio of the clock. No special considerations are required for automatic test insertion. Our aim in this project is to design the AHB- protocol with bus tracer. For real-time tracing, we should reduce the trace size as much as possible without reducing the original data. The experimental results show that trace compression ratio reduced by 96.32%. Finally this approach was designed successfully along with MODEL SIM and synthesis using Xilinx ISE. The SoC can be verified in field-programmable gate array

Anti Urolithiatic and anti hyperlipidemic activity of Coleus aromaticus An explanation of the underlying mechanisms

Leaves paste of Coleus aromaticus is used as a traditional remedy for urolithiasis in India. In the present study, the anti urolithiatic activity of Coleus aromaticus was investigated in ethylene glycol induced urolithiatic rats. There was a significant increase in the levels of calcium oxalate crystals in the kidneys as well as lipid levels in the blood serum. Treatment with hydro alcoholic extract of C.aromaticus leaves (CALHAE) significantly reduced cholesterol levels at 300 and 600 mg/kg, and triglyceride levels at 600 mg/kg in urolithiatic rats. Histopathalogical reports confirmed that chronic administration of CALHAE (300 and 600 mg/kg) diminished number of calcium oxalate crystals in kidneys. CALHAE has shown reduction in thiobarbituric acid reactive substances (TBARS) in urolithiatic rats. Moreover, CALHAE showed potent in vitro antioxidant activity in DMPD, ABTS radicals (MnO2 method). Results from these studies support the safe and effective use of C.aromaticus leaves for urolithiasis treatment.Keywords: Coleus aromaticus, Calcium oxalate crystals, Hypolipidemic activity, Antioxidant activit

Anti Urolithiatic and anti hyperlipidemic activity of Coleus aromaticus An explanation of the underlying mechanisms

Leaves paste of Coleus aromaticus is used as a traditional remedy for urolithiasis in India. In the present study, the anti urolithiatic activity of Coleus aromaticus was investigated in ethylene glycol induced urolithiatic rats. There was a significant increase in the levels of calcium oxalate crystals in the kidneys as well as lipid levels in the blood serum. Treatment with hydro alcoholic extract of C.aromaticus leaves (CALHAE) significantly reduced cholesterol levels at 300 and 600 mg/kg, and triglyceride levels at 600 mg/kg in urolithiatic rats. Histopathalogical reports confirmed that chronic administration of CALHAE (300 and 600 mg/kg) diminished number of calcium oxalate crystals in kidneys. CALHAE has shown reduction in thiobarbituric acid reactive substances (TBARS) in urolithiatic rats. Moreover, CALHAE showed potent in vitro antioxidant activity in DMPD, ABTS radicals (MnO2 method). Results from these studies support the safe and effective use of C.aromaticus leaves for urolithiasis treatment.Keywords: Coleus aromaticus, Calcium oxalate crystals, Hypolipidemic activity, Antioxidant activit

Fast Local Binary Patterns for Efficient Face Recognition

LBP, Local Binary Patterns, is an accepted technique for efficient face recognition. The local features improve the recognition process. However, high memory and computational resources are needed for LBP required approaches to improve the performance. Many people used LBP for extracting features and Support Vector Machine (SVM), histogram matching, neural networks as recognition tools. These approaches consume considerable computational resources. We have proposed a fast LBP which uses Two-level Correlation for the classification & recognition. The exhaustive experiments on FERET database 8750 images substantiate the performance compared to others. [Keywords— Face Recognition, LBP, Histogram Matching, Two-level Correlation, FERET data set

On the warm pool dynamics in the southeastern Arabian Sea during April - May 2005 based on the satellite remote sensing and ARGO float data

Observational data from the Arabian Sea Monsoon Experiment (ARMEX-Phase IIA) in the southeastern Arabian Sea (SEAS) showed intense warming with the SST up to 31.5°C during April-May 2005. Analysis of 5-day repeat cycles of temperature and salinity profiles from an ARGO float (ID No. 2900345) in a 3°x1° box closer to ARMEX-II buoy (8.3°N, 72.68°E) in the SEAS during January-September 2005 revealed evolution of warm pool (SST>28°C) in spring 2005. The Argo data derived D20 (depth of 20°C isotherm) showed the influence of remote forcing during January-May, and local wind forcing during southwest monsoon. Low salinity waters (<34.0) occupied the top 30 m during January-February followed by temperature inversions (up to 0.5°C) in the 30-60 m depth range. From the peak spring warming, the SST dropped gradually by 3.5°C by end-July with the advent of southwest monsoon followed by a decrease in net heat gain upto 100 W/m^2. The merged weekly products of sea surface height anomalies and the NLOM simulated surface currents showed complex surface circulation consisting of seasonal Lakshadweep High/Low in winter/summer. The examined oceanic and atmospheric variables showed an intraseasonal variability with 41 to 63 day period, coinciding with the Madden-Julian Oscillatio

A Comprehensive Survey of Convolutional Neural Networks for Skin Cancer Classification and Prediction

Skin cancer, a prevalent and potentially fatal condition, requires early detection and precise classification to ensure effective treatment. In recent years, there has been a significant rise in the popularity of Convolutional Neural Networks (CNNs) prominence as a robust solution for image processing and analysis, significantly surpassing conventional techniques in skin cancer prediction and classification. This survey paper offers a thorough examination of CNNs and their diverse applications in diagnosing skin cancer, emphasizing their benefits, existing obstacles, and potential avenues for future research

Prophylactic combined supplementation of choline and docosahexaenoic acid attenuates vascular cognitive impairment and preserves hippocampal cell viability in rat model of chronic cerebral hypoperfusion ischemic brain injury

Background: Stroke is the second cause of mortality in the world and third leading cause of disability in surviving victims. Cerebral ischemic cascade involves multiple pathways that can result in motor and cognitive deficits. The current treatment strategy focuses mainly on motor recovery, and the management of post-stroke cognitive impairment is largely neglected. Similarly, very few studies have explored the prophylactic combined synergetic treatment strategies that have the potential to target multiple pathways in the ischemic cascade to alleviate vascular cognitive impairment (VCI) in the event of an ischemic stroke. Choline and docosahexaenoic acid (Cho-DHA) are both essential neuronal membrane phospholipid precursors, known to be important in enhancing cognitive functions. The objective of present study was to explore the prophylactic efficacy of combined Cho-DHA supplementation (Cho-DHA suppl.) in attenuating VCI in a rodent model of ischemic brain injury.Methods: An 10-months-old male Wistar rats were subdivided into four groups (n=8/group); normal control (NC), bilateral common carotid artery occlusion (BCCAO) induced ischemic brain injury group, sham BCCAO (S-BCCAO) group, and prophylactic combined Cho-DHA suppl. BCCAO group. Subsequently, all groups of rats were tested for cognition and neuro-morphological changes in the hippocampus.Results: BCCAO rats showed significant learning and memory deficits (p<0.05) and neuronal injury compared to S-BCCAO and NC rats. These cognitive deficits and neuronal injury were significantly (p<0.01) attenuated in Cho-DHA suppl. BCCAO rats.Conclusion: Prophylactic combined Cho-DHA suppl. may be envisaged as an effective preventive strategy to attenuate VCI and neuronal injury in high-risk individuals susceptible for a future event of an ischemic stroke

An improved optimization technique for estimation of solar photovoltaic parameters

The nonlinear current vs voltage (I-V) characteristics of solar PV make its modelling difficult. Optimization techniques are the best tool for identifying the parameters of nonlinear models. Even though, there are different optimization techniques used for parameter estimation of solar PV, still the best optimized results are not achieved to date. In this paper, Wind Driven Optimization (WDO) technique is proposed as the new method for identifying the parameters of solar PV. The accuracy and convergence time of the proposed method is compared with results of Pattern Search (PS), Genetic Algorithm (GA), and Simulated Annealing (SA) for single diode and double diode models of solar PV. Furthermore, for performance validation, the parameters obtained through WDO are compared with hybrid Bee Pollinator Flower Pollination Algorithm (BPFPA), Flower Pollination Algorithm (FPA), Generalized Oppositional Teaching Learning Based Optimization (GOTLBO), Artificial Bee Swarm Optimization (ABSO), and Harmony Search (HS). The obtained results clearly reveal that WDO algorithm can provide accurate optimized values with less number of iterations at different environmental conditions. Therefore, the WDO can be recommended as the best optimization algorithm for parameter estimation of solar PV

A survey of Post-Traumatic Stress Disorder, Anxiety and Depression among Flood Affected Populations in Kerala, India

Background: Globally, post traumatic stress disorder (PTSD) is one of the most common psychiatric illnesses following a disaster. We aimed to evaluate the relationship between the socio-economic and flood exposure factors with PTSD, depression and anxiety among the flood-affected populations in Kerala, India. Methods: A cross-sectional household survey was conducted from November 2019 to January 2020 in Kozhikode district of Kerala, India. Adults (≥ 18 years), who were permanent residents and had been directly exposed to the flood, were invited to take part in the study. Individuals with a history of mental health issues and those who had other stressful situations in the past were excluded. The survey questionnaire was based on three screening tools: (1) PTSD Checklist for DSM-5 (PCL-5); (2) patient health questionnaire (PHQ-9); and (3) generalized anxiety disorder (GAD-7). Data included sociodemographic factors and flood exposure variables. The primary outcome variable was psychiatric morbidity (PTSD, anxiety and depression). Results: A total of 276 respondents (150 males/126 females) participated in the study. A significant correlation was observed between total score on PCL-5 and GAD-7 (r=0.339, p=0.001) and PHQ-9 (r=0.262, p=0.001). Females had significantly higher total PTSD symptom severity scores (8.24±5.88 vs. 6.07±5.22; p=0.001), severity of symptoms of intrusion (4.66±3.60 vs. 3.69±3.20; p=0.04), increased level of anxiety (2.54±1.94 vs. 1.79±1.53; p=0.001) and depression (3.02±2.26 vs. 2.04±1.67; p=0.001) compared to males. However, the gender difference for PTSD symptoms disappeared when controlling for age. Conclusion: The findings of this survey revealed that the vast majority of respondents (92 percent females and 87 percent males) still had subclinical psychiatric symptoms one year after the flood. Therefore, tailored psychological interventions are warranted to counter the long-lasting impact of flooding on the mental health of individuals