Physical Sciences and Mathematics Commons^™

Research: South Dakota State University, Fall 2016, Christine Delfanian, Emily Webber

Research: South Dakota State University

CONTENTS:

Cattle primary host for new influenza virus [page] 1
Statisticians evaluate probability models for crime scene evidence [page] 2
Beef reproduction research to increase sperm, embryo survival [page] 4
Chemicals in ice core reveal climate-changing events [page] 6
New pediatric drug delivery method uses corn, milk proteins [page] 8
Strategic application key to biochar application [page] 8
Outstanding Scholars:
Collaborative projects brings pioneer women to life [page] 9
Nurses to learn substance abuse intervention technique [page] 9
Dietitian targets weight management, goal-setting to improve health [page] 10
Photovoltaic group helps Pakistani scientists harness sun's energy [page] 10
New capabilities …

Research: South Dakota State University, Spring 2016, Christie Delfanian, Emily Weber

Research: South Dakota State University

CONTENTS:

Genome Researcher investigate impact of L1 jumping genes [Page] 2
CRP funds important resource for hunters [Page] 3
Nurse-researchers help health-care facilities develop, improve tobacco-free policies [Page] 3
MS: Exercise scientist improves movement, quality of life for MS patients [Page] 5
Plant scientists defend South Dakota crops against diseases [Plant] 7
Investigating influenza D virus earns doctoral student scholarship [Page] 9
Steel shavings trap phosphorous, protecting water quality [Page] 10

Breast Cancer Classification Of Mammographic Masses Using Circularity Max Metric, A New Method, Tae Keun Heo

Electronic Theses and Dissertations

Breast cancer classification can be divided into two categories. The first category is a benign tumor, and the other is a malignant tumor. The main purpose of breast cancer classification is to classify abnormalities into benign or malignant classes and thus help physicians with further analysis by minimizing potential errors that can be made by fatigued or inexperienced physicians. This paper proposes a new shape metric based on the area ratio of a circle to classify mammographic images into benign and malignant class. Support Vector Machine is used as a machine learning tool for training and classification purposes. The improved …

Product Authentication Using Hash Chains And Printed Qr Codes, Harshith R. Keni

Electronic Theses and Dissertations

This thesis explores the usage of simple printed tags for authenticating products. Printed tags are a cheap alternative to RFID and other tag based systems and do not require specialized equipment. Due to the simplistic nature of such printed codes, many security issues like tag impersonation, server impersonation, reader impersonation, replay attacks and denial of service present in RFID based solutions need to be handled differently. An algorithm that utilizes hash chains to secure such simple tags while still keeping cost low is discussed. The security characteristics of this scheme as well as other product authentication schemes that use RFID …