Physical Sciences and Engineering

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Bonemodeling using the morton space-filling curve

We introduce an algorithm for obtaining a geometric bone model suitable for the analysis of bone mechanical properties. In the bone model construction, we use new patterns of the familiar Morton curve, a class of Space Filling Curves. By extending a previous idea for the Hilbert curve, we derive new curve patterns used two construct the space filling curve in the bone model. We show the utility in bone modeling by means of an algorithm that generates the Morton curve and efficiently compute the bone properties such as density, Young’s modulus and Poisson's ratio.

Details of self driving cars

Our objective is to analyze the movement of the self-driving vehicle based on the source and destination given by the user and the challenges faced during the motion of the self-driving vehicle. The movement is based on camera angles and the path determined by the path outlining algorithm used. Movement is based on the trajectory motion captured from the dynamic environment of the desired path. Challenges faced during the motion of the vehicle include object intrusion, pedestrian detection, cyber-attacks and efficient car parking.

Socio economic impacts of clay mining on local livilyhoods: a case study from velichikkala, nedumpana panchayat, kollam district, kerala

Man’s use of environment many times can create several problems. Expanding human requirement and socio economic developments imposes ever increasing pressure on our resource base. English India clay Ltd worked at Velichikkala, kollam district engaged in mining and processing of china clay. Total reserves of clay both sedimentary and residual are 7.4 million tonnes. The Company produced different grades of kaolin.

Hybrid mobile application based on ionic framework technologies

The proliferation of mobile technologies has brought about a unified communication sphere along with verse and modern experiences. These emerging technologies have intensified competition within the mobile communication industry. This competition has further led to some problems for the users as well as application developers. Developers are not able to access and modify mobile applications codes that operate on other platforms i.e. Native platform incompatibilities. In this study, we advance the academic notion of developing a hybrid mobile application into a practical perspective.

Statistical estimation with gene frequencies in a b o blood group systems

Statistics is one of the major tools to study the quantitative aspects of Biological theories. In the literature about Biostatistics, many statisticians have applied basic biometric methods for medicinal applications where as a few statisticians have applied those for genetic applications. In the present study, an attempt has been made by estimating gene frequencies in ABO blood group system in human beings through the Maximum Likelihood method.

Task scheduling algorithms for parallel processing

In computing, Scheduling refers to a set of policies which define the order of execution of processes. The scheduling for the processor is done to keep it as busy as possible. Parallel computing includes scheduling of multiple processors, and managing the resources for all the processors. The scheduling in multiprocessors is more difficult than scheduling in a single processor unit. In scheduling of multiple processors it should be ensured that any processor should not be overloaded and any processor should not be under loaded. So the overall system should be balanced.

Smart garbage monitoring system

Garbage bins are found at all the places in a particular collage, school, hospital, bank, shopping malls etc. Every time it is not possible to check whether the bin is full or empty, so in this paper we come up with a solution to monitor the status of every bin inside the campus area of any school, collage or any other place. Here we actually use arduino board connected to an ultrasonic sensor and a Wi-Fi module and this entire system is connected to every single bin inside the campus area.

Automatic questions generating system

All the educational information can be accessible through the Internet sites (e.g., Wikipedia, news administrations). Learning the information by searching through random website is difficult, one of the main difficulties is to frame the questions for famous people who have a Wikipedia page. Here, we address some portion of this test via mechanizing the formation of a particular kind of useful inquiries that can improve the learning background. In particular, we focused consequently producing true questions from the text or keywords provided.

Detection of malignant melanoma usingartificial neural networks trained with particle swarm optimization algorithm

Malignant Melanoma is a type of cancerous cell which occurs in the skin and it is known as the deadliest form of all skin cancers. They sometimes develop from a mole with increase in size, irregular edges,change in color, itchiness or skin breakdown. If detected early, malignant melanoma can be treated successfully. In this paper, detection of the malignant melanoma is done by artificial neural network trained with particle swarm optimization algorithm. The features of the image are extracted using SIFT (Scale invariant feature transform) and SURF (Speeded Up Robust Features) techniques.

Efficient and dynamic proof of storage for multi-user cloud environment

The Dynamic Proof of Storage is a very useful cryptographic scheme which enables a user to update the file or check for the integrity of the data in a cloud server. There exists dynamic schemes in the single user environment but for the multiuser environment, the algorithm is still not been analysed yet. For a multi user cloud storage system, a secure multi user deduplication technique is needed which would enable the user to skip the file upload and gain the instant automated ownership when the other owner of the file have uploaded the file on the server.