Measuring Malware Evolution

In this research, we simulate the effect of code evolution by applying a variety of code morphing strategies. Specifically, we consider code substitution, transposition, insertion, and deletion. We then analyze the effect of these code morphing strategies relative to a variety of malware scores that have been considered in previous research. Our goal is to gain a better understanding of the strengths and weaknesses of these various malware scoring techniques. This research should prove useful in designing more robust scores for detecting malware

Study on the Correlation Between Vitamin D and BMI in Type 2Diabetes Mellitus

Type 2 diabetes mellitus (DM) is associated with increased morbidity and mortality due to thedevelopment of complications, especially due to poor glycaemic control. Besides its role in calciumhomeostasis, Vitamin D has been involved in the pathophysiology as well as glycaemic control oftype 2 DM. 100 patients diagnosed with type 2 DM were included. Vitamin D levels along with BMIwere measured in all the individuals. In our study, we had the youngest patient with 18years andthe oldest patient with 78years. In the present study, we had maximum patients in the age groupbetween 41 to 50 years similar to various other studies. In our study male was 68% with femaleswere 38%. In the present study, we estimated vitamin D levels in all subjects and categorizationwas done as <20 and more than 20 ng/dl.48% of patients had vitamin D levels below 20ng/dl. Inthe present study, we compared the values of BMI with vitamin D levels where we did not noticemuch difference with the mean of individual category. In conclusion, we have identified a correlationconcerning vitamin D levels when compared with BMI statistically. Since the physiological role ofVitamin D in pancreatic beta-cell function and insulin sensitivity is well appreciated, and consideringthat almost 50% of the diabetes patients in the present study are Vitamin D deficient, it issuggested that Vitamin D levels improve the BMI in type 2 diabetes mellitus patient

Introducing a new formulation for the warehouse inventory management systems : with two stochastic demand patterns

This paper presents a new formulation for warehouse inventory management in a stochastic situation. The primary source of this formulation is derived from FP model, which has been proposed by Fletcher and Ponnambalam for reservoir management. The new proposed mathematical model is based on the first and the second moments of storage as a stochastic variable. Using this model, the expected value of storage, the variance of storage, and the optimal ordering policies are determined. Moreover, the probability of within containment, surplus, and shortage are computable without adding any new variables. To validate the optimization model, a Monte Carlo simulation is used. Furthermore, to evaluate the performance of the optimal FP policy, It is compared to (s*,S*) policy, as a very popular policy used in the literature, in terms of the expected total annual cost and the service level. It is also demonstrated that the FP policy has a superior performances than (s*,S*) policy

Computationally efficient calibration of WATCLASS Hydrologic models using surrogate optimization

International audienceIn this approach, exploration of the cost function space was performed with an inexpensive surrogate function, not the expensive original function. The Design and Analysis of Computer Experiments(DACE) surrogate function, which is one type of approximate models, which takes correlation function for error was employed. The results for Monte Carlo Sampling, Latin Hypercube Sampling and Design and Analysis of Computer Experiments(DACE) approximate model have been compared. The results show that DACE model has a good potential for predicting the trend of simulation results. The case study of this document was WATCLASS hydrologic model calibration on Smokey-River watershed

Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO2 emissions and hazardous risks

Contemporary vehicle routing requires ubiquitous computing and massive data in order to deal with the three aspects of transportation such as operations, planning and safety. Out of the three aspects, safety is the most vital and this study refers safety as the reduction of CO2 emissions and hazardous risks. Hence, this paper presents a data driven multi-objective differential evolution (MODE) algorithm to solve the safe capacitated vehicle routing problems (CVRP) by minimizing the greenhouse gas emissions and hazardous risk. The proposed data driven MODE is tested using benchmark instances associated with real time data which have predefined load for each of the vehicle travelling on a specific route and the total capacity summed up from the customers cannot exceed the stated load. Pareto fronts are generated as the solution to this multi-objective problem. Computational results proved the viability of the data driven MODE algorithm to solve the multi-objective safe CVRP with a certain trade-off to achieve an efficient solution. Overall the study suggests 5% increment in cost function is essential to reduce the risk factors. The major contributions of this paper are to develop a multi-objective model for a safe vehicle routing and propose a multi-objective differential evolution (MODE) algorithm that can handle structured and unstructured data to solve the safe capacitated vehicle routing problem

Bioactive natural products from marine angiosperms: Abundance and functions

This review explores the natural products of seagrass that are to be exploited for their bioactive potential. Beside from portraying the presence of a wide array of secondary compounds such as phenols, flavonoids, sterols and lipids from different seagrass species, the focus is on novel natural products projecting towards their biological applications. Though there are a significant number of reports on the abundance of secondary metabolites from seagrass and their bioactive derivatives, only a small number of reports explore their functional and defensive characteristics. Efforts have been made to collate the available information on seagrass natural products and clarify their function and metabolic pathway’s. It is emphasized that metabolic profiling of seagrass should be extensively progressed to obtain a deeper knowledge about the specific roles of each natural product. The investigation of seagrass natural products for their bioactive potential would most likely result in the detection of surprising and unexpected novel chemical structures and clinical leads that may be useful to mankind