Integrating Segmentation and Paging Protection for Safe, Efficient and Transparent Software Extensions

The technological evolution towards extensible software architectures and component-based software development demands safe, efficient, flexible, and easy-touse extension mechanisms to provide protection among software modules residing in the same address space. While a number of software-based approaches have been proposed in the last several years, no clear winner emerges that satisfactorily addresses all the design issues involved in establishing multiple protection domains within an address space. This paper describes the design, implementation, and evaluation of a novel intra-address space protection mechanism called Palladium, which is built upon the combined segmentation and paging protection hardware provided by Intel's X86 architecture. Based on the considerations on application programming and systems implementation complexity, we chose to use slightly different approaches to implement the user-level and kernel-level extension mechanisms. To demonstrate the resulting prototyp..

Buckling of chiral rods due to coupled axial and rotational growth

We present a growth model for special Cosserat rods that allows for induced rotation of cross-sections. The growth law considers two controls, one for lengthwise growth and other for rotations. This is explored in greater detail for straight rods with helical and hemitropic material symmetries by introduction of a symmetry preserving growth to account for the microstructure. The example of a guided-guided rod possessing a chiral microstructure is considered to study its deformation due to growth. We show the occurrence of growth induced out-of-plane buckling in such rods

Performance Evaluation of DS-CDMA Receivers Using Genetic Algorithm

Direct sequence-code division multiple access (DS-CDMA) technique is used in cellular systems where users in the cell are separated from each other with their unique spreading codes. In recent times DS-CDMA has been used extensively. These systems suffers from multiple access interference (MAI) due to other users transmitting in the cell, channel inter symbol interference (ISI) due to multipath nature of channels in presence of additive white Gaussian noise(AWGN). Spreading codes play an important role in multiple access capacity of DS-CDMA system. M-sequences, gold sequences etc., has been traditionally used as spreading codes in DS-CDMA. These sequences are generated by shift registers and periodic in nature. So these sequences are less in number and also limits the security. This thesis presents an investigation on use of new type of DS CDMA receiver called Genetic Algorithm based DS-CDMA receiver. Genetic Algorithm is robust optimization technique and does not fall into local minima hence this gives better weight optimization of any system. This Thesis investigates the performance of GA based DS-CDMA communication using gold code sequences. Extensive simulation studies demonstrate the performance of the different linear and nonlinear DS-CDMA receivers like RAKE receiver, matched filter (MF) receiver, minimum mean square error (MMSE) receiver using gold sequences and the performance have been compared with GA based receiver

Structural BIM Application : Implementation of Tekla Structures in Nepal

The objective of this bachelor’s thesis was to study the implementation strategy for Building Information Modeling (BIM) in Nepal and the possibilities of BIM implementation for Nepal. The major aspects, in the context of construction in Nepal were considered for BIM implementation. Similarly, the study also elaborated the features and advantages of Tekla Structures. To understand the methods in implementation, a literature review was carried out. The purpose of the thesis was focused on two approaches of implementation: educational and commercial approaches to guide individuals to promote BIM implementation. The study of two major projects was done to understand the benefits of Tekla structures and BIM implementation. The implementation methods mentioned in the thesis shows merits and suitable process in the Nepalese context. This thesis could be used as a suggestion for the preliminary process of BIM implementation in Nepal. In addition, the construction industry in Nepal could benefit with the guidelines of the implementation process

Physical properties of bottle gourd seeds

The present study was aimed to evaluate physical properties of bottle gourd seeds viz., size, shape, surface area, unit mass, densities, angle of repose and coefficient of friction at the moisture content of 10.04 % (wet basis).  The results revealed that the average length, width and thickness of seeds were 14.84, 7.44 and 3.34 mm, respectively.  The aspect ratio, sphericity, surface area and 1,000 seed mass of bottle gourd seeds were found to be 50.45 %, 0.48, 161.78 mm2 and 143.77 g, respectively.  The average values of true and bulk densities were 721.30 and 453.80 kg m-3, respectively and the corresponding porosity was 37.07%.  The terminal velocity was 6.14 m s-1.  The coefficient of friction on plywood and plastic surfaces were observed to be the highest and lowest, respectively.  As the bottle gourd seed oil contains omega-3 and ‘Lagenina’, the information obtained through the experiments is key parameters not only for food processors but also to the engineers for designing process and machines as well.   Keywords: Bulk density, coefficient of friction, dimensions, porosity, terminal velocity, true densit

Estimation of Correlation Matrices from Limited time series Data using Machine Learning

Prediction of correlation matrices from given time series data has several applications for a range of problems, such as inferring neuronal connections from spiking data, deducing causal dependencies between genes from expression data, and discovering long spatial range influences in climate variations. Traditional methods of predicting correlation matrices utilize time series data of all the nodes of the underlying networks. Here, we use a supervised machine learning technique to predict the correlation matrix of entire systems from finite time series information of a few randomly selected nodes. The accuracy of the prediction from the model confirms that only a limited time series of a subset of the entire system is enough to make good correlation matrix predictions. Furthermore, using an unsupervised learning algorithm, we provide insights into the success of the predictions from our model. Finally, we apply the machine learning model developed here to real-world data sets.Comment: 13 pages, 5 figure

Stillbirth at Patan Hospital, Nepal

Introductions:  Stillbirth (SB) is one of the most common adverse outcomes of pregnancy.  The aim of this study was to determine the SB rate and to identify the likely causes contributing to SB. Methods: This cross-sectional study was conducted at Patan Hospital from 15th June 2014 to 14th June 2017 for all the cases of SBs, at or after 22 weeks, birth weight of 500 gm or more. The perinatal outcome, demographic profile, fetal characteristics, causes and contributing factors were analyzed. Results: There were 262 SB out of total 23069 deliveries, (11.24 per 1000) and 119 (46.12%) had antenatal check-up (ANC) at Patan Hospital. The 214 (82.95%) SB were among 20-34 years mothers, 133 (51.55%) being multigravida. Antepartum SB were 234 (89.31%), macerated 213 (81.30%), birth weight <1000gm 86 (32.82%) and male 156 (59.54%).  The intrauterine growth restriction (IUGR) was present in 60 (22.90%), unexplained casue in 43 (16.41%), prematurity 28 (10.69%), congenital anomalies 26 (9.92%), pre-eclampsia 19 (7.25%), gestational diabetes, and abruptio placenta each 13 (4.96%). Delay in seeking care in 202 (78.30%) was a potential contributing factor. Conclusions:  The SB was 11.24/1000 births. The causes in descending order were IUGR, unexplained, prematurity, congenital anomalies, pre-eclampsia, gestational diabetes and abruptio placenta. Delay in seeking care was found as a potential contributing factor. Keywords:  antenatal check-up (ANC), birth weight, intrauterine growth restriction (IUGR), stillbirt

Systems Thinking Perspective on Support for Transition and Acceptance of Identity of Chronic Health Disease Patient in Society

Currently, India is home to diabetes, and it has the second-largest diabetic population in the world. The term ‘health seeker’ is used instead of the patient since the health seeker is attributed to a person who is motivated to improve his physical and mental well-being (Bate, P. & Rober, G., 2007). Diabetes is a chronic disease that requires the health seeker to modify their lifestyle, which is a transition of their identity. This transition from a healthy self to a chronic health disease health seeker is often challenged by societal forces and healthcare services. While the patient experiences are personal, the healthcare systems are abstract and impersonal. With the systems thinking approach, the questions we are trying to seek answers to are: Where does the boundary of healthcare begin and end for a patient with chronic health disease? What are the insensitivities faced by the health seeker while experiencing a chronic health condition such as diabetes? What are the support systems that help health seekers in their journey of new medical identity across space and various life activities

Analysis of Instabilities in the Deformation of Magnetoelastic Membranes

We study the inflation of weakly magnetizable isotropic membranes in the presence of externally applied magnetic field. The relevant governing equations, boundary conditions, and stability criteria are derived from a variational formulation and computational solutions are obtained for three geometries - circular, cylindrical, and toroidal membranes. It is observed that magnetic field can alter the onset of elastic limit point instability and introduce new magnetic limit points. Multiple stable equilibrium configurations are predicted for a given coupled load. We also observe induction of wrinkling in the membrane due to the magnetic field

Protective Coatings for Shelf Life Extension of Fruits and Vegetables

Abstract Shelf life of fresh fruits and vegetable depends on two variables namely respiration rate of commodity and permeability of the packaging films. The modified atmosphere packaging using specially designed films acts as protective surface by controlling respiration of goods and permeation simultaneously. Although there are number of packaging films available now days, most of packages are designed from four basic sustainable polymers viz., polyethylene, polyethylene terephthalate, polypropylene and polyvinyl chloride for packaging of fresh produce. Edible coating is an alternative beneficial, low cost tool for shelf life extension of postharvest fruit and vegetable. Edible polymeric packaging materials can be made from polysaccharides, proteins and lipids. The objective of this review is to provide a comprehensive description of protective coatings used for preserving fruits and vegetables