Master of Science / Department of Computing and Information Sciences / Daniel Andresen / Finding a desired off-campus home could be a difficult task for incoming students at K-State. This cross platform mobile application can help students in this task. This mobile application will serve as platform for students and home owners to find, list and review a property. Users can create their personal account and manage their profile and properties they listed. They can post multiple property listings with the key details and these listings will be visible to all the other users. To avoid spam and repetitive postings there is an address verification system in place. While posting a property listing the address is verified with Google maps database. If Google maps fail to identify the address or if that address is already listed, the user will not be allowed to list that property. Users can see all the property listings and their details including a Google map location image, a link to navigate to the address, contact details of the owner, reviews of other users. Users can rate a property from 1(low) to 5(high) along with an optional review. The review and rating can help other user to select a desired place to live. The user interface is developed with web technologies and using Cordova the same code can be used to convert it into a mobile application for both iOS and Android which makes this application platform independent and easily available.

Master of Science / Department of Computing and Information Sciences / Daniel A. Andresen / The aim of the project is to develop an Android application that lets its users to send notifications in case of an emergency or a panic situation. The users can send multiple text messages and emails on the press of a single button. The phone numbers, email ids and the contents of the text and email messages can be set from within the application. The text messages and emails sent, along with the content, also have the last known location of the user. This is very helpful in tracking the whereabouts of the person. The user can also call 911 directly from within the application, if the nature of the situation demands it. Additionally the user of the application may allow the app to track their location. If this option is selected, the application fetches the device’s location at about every 15 minutes and stores it in a database. This information is very useful and can be used in a variety of ways. One such use of the location data is from within the Android app where the user can view a map that shows their location history over a period of time for a particular day.

Master of Science / Department of Computer Science / Mitchell L. Neilsen / Smart glasses, like smart phones, have separate operating systems, and can execute many different kinds of software and games. Smart glasses can be used to add a schedule, map navigation, interact with friends, take photos and videos, and make video calls with friends through voice control. They can support wireless network access through a mobile communication network. Bluetooth is a radio technology that supports short-range communication between of the devices. It can exchange information between devices including mobile phones, wireless headsets, laptops, etc. Bluetooth technology can effectively simplify the communication between mobile devices. This thesis focuses on smart glasses applications for high-throughput phenotyping which requires a data monitor, data synchronization, Bluetooth service, and voice control between devices. On the Android side, the application, which is extended, is called Field Book. The new software called Field Book AR, includes a data monitor module and a Bluetooth server module to achieve data exchange with smart glasses. On the smart glasses side, the application is called DataReceiver. It receives voice commands from users and controls the actions of Field Book AR. Also, when Field Book detects data changing, it accepts new data and shows changes to the users.

This dissertation presents a new approach to static analysis for security vetting of Android apps, and a general framework called Argus-SAF. Argus-SAF determines points-to information for all objects in an Android app component in a flow and context-sensitive (user-configurable) way and performs data-flow and data dependence analysis for the component. Argus-SAF also tracks inter-component communication activities. It can stitch the component-level information into the app- level information to perform intra-app or inter-app analysis. Moreover, Argus-SAF is NDK/JNI- aware and can efficiently track precise data-flow across language boundary. This dissertation shows that, (a) the aforementioned type of comprehensive app analysis is utterly feasible in terms of computing resources with modern hardware, (b) one can easily leverage the results from this general analysis to build various types of specialized security analyses – in many cases the amount of additional coding needed is around 100 lines of code, and (c) the result of those specialized analyses leveraging Argus-SAF is at least on par and often exceeds prior works designed for the specific problems, which this dissertation demonstrate by comparing Argus-SAF’s results with those of prior works whenever the tool can be obtained. Since Argus-SAF’s analysis directly handles intercomponent and inter-language control and data flows, it can be used to address security problems that result from interactions among multiple components from either the same or different apps and among java code and native code. Argus-SAF’s analysis is sound in that it can assure the absence of the specified security problems in an app with well-specified and reasonable assumptions on Android runtime system and its library.

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<p>  </p> <p>Data is the foundation of digital agriculture. Data from a wide variety of sensors in the soil, in machinery, or from remote sensing can inform decisions including site-specific land and crop management but capitalizing on these data requires metadata that captures the full story related to production. Answers to metadata questions such as who, what, where, when, and how are often unavailable when aggregated data are analyzed. These metadata are crucial for making accurate operation and management decisions and certainly for developing AI models. Since farmers and researchers exhibit human behavior of forgetting to take notes or entering incorrect information, even with digital means, missing and erroneous records are common. To address this issue, a metadata collection Android app – Meta Ag for agricultural activities was created that automatically appends the operator’s name, time, and space information to an in-field event, and provides a user-friendly interface to gather information with more details describing which activity was done and how. Meta Ag has six main modules, including user registration, geofence construction, accessed geofence recognition, an infobot for extensive activity data collection, setting options for Infobot and data access. By design, manual data input, with automatic validation, when possible, was used for information collection. To achieve this, Meta Ag uses dynamically constructed, interactive option lists for fewer data entry errors. The collected data were stored in a Google Firebase database as central storage for multiple users. To facilitate data interoperability, stored data were made accessible in CSV and JSON format. The Android app collects extensive metadata from database interactive option lists and the infobot as a data collection wizard provides a dynamic environment for data collection in a short time with minimal manual input. The app was also able to reduce missing data as it automatically records the accessed fields and activity time in that field. The Meta-Ag app can work both as a standalone tool and an integration into any other farm information management system.</p>

Master of Science / Department of Computing and Information Sciences / Daniel Andresen / This report considers a native Android application called “KSUSoy YieldCalc” that assists in yield estimation of soybean before harvest following conventional approach. Android is one of the most popular installed base of any mobile platform, powering many mobile devices in more than 190 countries for users of diverse economic backgrounds, making it more popular than iOS devices (Android developers n.d.).The project “KSUSoy YieldCalc” adopted the Android platform as its base to serve farmers, agronomists, and consultants and deliver performance to save time and enhance farmers’ their confidence. The native application uses “conventional approach” of estimation of yield for calculations and eliminates the need for having Internet connection to access, thereby increasing the application’s flexibility. The project utilized Android Software Development Kit (SDK) as its development platform with extensive Java and Extensible Markup Language (XML) coding. The Department of Agronomy at Kansas State University (KSU) tested the application with promising results. Dr. Ignacio Ciampitti of the Department of Agronomy at KSU currently demonstrates the application to farmers. User feedback has been very satisfactory to date.

As smartphone technology continues to mature, one of the many areas it can help enhance is telemedicine: the concept of using telecommunications to provide health information from a distance. A new medical condition or disease can require frequent visits to the doctor for simple biometric monitoring. These frequent visits are time-consuming and can be extremely inconvenient for the patient. This report describes how a smartphone can be the optimal platform to communicate critical biometric measurements to one's physician, reduce in-person hospital visits, and still allow for the patient to receive feedback from the doctor. A proof-of-concept infrastructure for enabling telemedicine is demonstrated by interfacing a glucose meter with an Android device that uploads that data to the Cloud to be viewed by the doctor. / text

Unternehmen setzen täglich eine Vielzahl von, im Enterprise Sektor etablierten, Systemen ein. Sie müssen zum Beispiel Fertigungsprozesse steuern, Informationen analysieren sowie ein sicheres Kundenmanagement, eine sichere Datenhaltung und Kommunikation realisieren. Sie greifen dabei auf Systeme zum Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Product Lifecycle Management (PLM) und Supply Chain Management (SCM) zurück. Ein Aspekt, der bis vor wenigen Jahren vernachlässigt wurde und nun von den Unternehmen entdeckt wird, ist die Mobilität. Sie stellt neue Herausforderungen an die IT-Infrastruktur und zwingt die großen Software-Hersteller wie IBM, Oracle, SAP und HP, neue skalierbare Ansätze für mobile Endgeräte zu integrieren. Die Mobilität wird in diesem Dokument als Sektor innerhalb der Informationstechnik verstanden, geprägt durch das Management von mobilen Geräten, Anwendungen und Inhalten mit Hilfe dedizierter Systeme, auch bezeichnet als mobile Systeme oder Plattformen.

I detta papper, designas och utvärderas en händelsebaserad Android-applikation. MyWorld är en mobil applikation. Händelser som sker i användarens närhet kan ses på en karta. Genom arbetet används beprövade metoder för att skapa en väldefinierad design. Det tas upp problem och lösningar på designrelaterade problem i en händelsebaserad applikation. Designen utvärderas sedan genom användartester som använder mått av framgång, felsteg och tillfredställdhet. Genom en process på tre iterationer har arbetet gett applikationen en ny design som blivit mer användbar för användarna. I slutskedet finns en färdig designprototyp som är implementerad i applikationen.