The world is getting busier and more crowded each year. Due to this fact resources such as public transport, available energy, and usable space are becoming congested and require vast amounts of logistical support. As of February 2018, nearly 95% of Americans own a mobile cell phone according to the Pew Research Center. These devices are consistently broadcasting their presents to other devices. By leveraging this data to provide occupational awareness of high traffic areas such as public transit stops, buildings, etc logistic efforts can be streamline to best suit the dynamics of the population. With the rise of The Internet of Things, a scalable low-cost occupancy monitoring system can be deployed to collect this broadcasted data and present it to logistics in real time. Simple IoT devices such as the Raspberry Pi, wireless cards capable of passive monitoring, and the utilization of specialized software can provide this capability. Additionally, this combination of hardware and software can be integrated in a way to be as simple as a typical plug and play set up making system deployment quick and easy. This effort details the development and integration work done to deliver a working product acting as a foundation to build upon. Machine learning algorithms such as k-Nearest-Neighbors were also developed to estimate a mobile device's approximate location inside a building.

El cáncer de piel es el tipo de cáncer más común en todo el mundo. Más de 65.000 personas mueren cada año, por culpa de este cáncer de piel y cada año se diagnostican más de 13 millones de casos de cáncer de piel. En Perú es el cuarto tipo de cáncer con mayor incidencia en el país y anualmente 1200 peruanos son detectados con cáncer de la piel. Las regiones con mayores casos de cáncer de la piel son: Lima 45.9%, La Libertad 13.2%, Lambayeque 7.5%, Cajamarca 4.9%, Junín con 3.1% y otras regiones 25.4% (Sausa, 2017). Además, el 85% de los 130 especialistas oncológicos están concentrados en la capital y en algunas regiones no hay ninguno. En este proyecto se propone un modelo tecnológico para la detección temprana de cáncer de piel. Se busca reducir el tiempo de espera en la obtención de un diagnóstico, además, se ha digitalizado la función del dermatoscopio mediante el uso de Smartphone y lentes de aumento como accesorio del dispositivo móvil. El modelo propuesto está conformado por cinco fases: 1. Entrada. 2. Captura. 3. Canal. 4. Análisis y procesamiento. 5. Visualización. 6. Salida 7. Soporte. Este modelo fue validado en un grupo de 60 pacientes, donde 12 sufren de cáncer piel en etapa tardía, 28 en etapa temprana y 20 son pacientes sanos, en una red de clínicas de Lima, Perú. El resultado obtenido fue 97% de asertividad sobre las lesiones cutáneas analizadas y 90 % en los pacientes sanos (Campos Poma, De La Cruz, Armas-Aguirre, & Gutiérrez González, 2020). / Skin cancer is the most common type of cancer in the world. More than 65,000 people die each year because of this skin cancer and more than 13 million cases of skin cancer are diagnosed each year. In Peru is the fourth cancer with the highest incidence in the country and in the country 1200 Peruvians are detected with skin cancer. major: cases of skin cancer: Lima 45.9%, La Libertad 13.2%, Lambayeque 7.5%, Cajamarca 4.9%, Junin with 3.1% and other regions 25.4% (Sausa, 2017). In addition, 85% of the 130 specialists Oncologists are concentrated in the capital and in some regions, there are none. In this project, we proposed a technological model for the early detection of skin cancer. The purpose is reduce the waiting time to obtaining a diagnosis, in addition, the function of the dermatoscope has been digitized by using a Smartphone and magnifying lenses as an accessory the mobile device. The proposed model has five phases: 1) Input. 2) Screenshot. 3) Channel. 4) Analysis and processing. 5) Display. 6) Ouput. 7) Support. This model was validated in a group of 60 patients, where 12 suffer from skin cancer int the late stage, 28 un the early stage and 20 are healthy patients, in a network of clinics in Lima, Peru. The obtained result was 97% of assertiveness on the analyzed skin lesions and 90% in healthy patients (Campos Poma, De La Cruz, Armas-Aguirre, & Gutiérrez González, 2020). / Tesis

Innovative mobile Endgeräte und Applikationen durchdringen nicht mehr nur das Berufs- und Privatleben, sondern finden auch zunehmend Einsatz in der Aus- und Fortbildung. Dies gilt sowohl in Hinblick auf das „Lifelong Learning“ als auch in der schulischen und universitären Ausbildung. Neue Regelungen zu Bachelor- und Masterprogrammen, Lehrformen wie Gruppenarbeiten und die zunehmende Mobilität der Studierenden verlangen nach neuen Lernmedien und Lehrkonzepten, die es ermöglichen, bisherige Lehrlaufzeiten im Studium sinnvoll zu nutzen. (...)

Internet of Things, or the infrastructure of the information age society, is an expanding area of research. It is the idea that physical things that we have today, can be turned into devices by being connected to a network. The purpose of these devices is through more sensors and actuators, allow smarter and more robust infrastructure to be built, as well as improving consumer devices interoperability. This thesis will investigate the current state of the art application layer communication protocols that have been developed with resource constrained mobile devices in mind. It will look specifically at high latency mid-range wireless cellular communication by investigating how the protocols affect energy consumption for an embedded Internet of Things device. This is done with the constraint that these findings needs to be applicable to the fifth generation of cellular networks, as well as extensions to current generation standards. The application layer communication protocols Constrained Applications Protocol(CoAP), Message Queue Telemetry Transport(MQTT) and Hypertext Transfer Protocol(HTTP) used on multiple modem modules, are investigated in a quantitative approach in deductive survey experiments, testing a variety of what is concluded to be typical sensor and actuator scenarios. The goal with the survey, is to ultimately select the protocol that shows to be the most suitable for a project to build a prototype platform for embedded mobile devices in the shape of publicly shared bikes in a city. This prototype is described and its architecture and design decisions are presented and argued for. The survey discovers that CoAP is the most suitable protocol for the purpose of the thesis, and proceeds to show how it is applied to the described platform.

Chronic cardiovascular disease (CVD) is increasingly becoming a burden for global healthcare systems. This burden can be attributed in part to traditional methods of managing CVD in an aging population that involves periodic meetings between the patient and their healthcare provider. There is growing interest in developing continuous monitoring systems to assist in the management of CVD. Monitoring systems can utilize advances in wearable devices and health records, which provides minimally invasive methods to monitor a patient’s health. Despite these advances, the algorithms deployed to automatically analyze the wearable sensor and health data is considered too computationally expensive to run on the mobile device. Instead, current mobile devices continuously transmit the collected data to a server for analysis at great computational and data transmission expense. In this thesis a novel mobile system designed for monitoring CVD is presented. Unlike existing systems, the proposed system allows for the continuous monitoring of physiological sensors, data from a patient’s health record and analysis of the data directly on the mobile device using machine learning algorithms (MLA) to predict an individual’s CVD severity level. The system successfully demonstrated that a mobile device can act as a complete monitoring system without requiring constant communication with a server. A comparative analysis between the support vector machine (SVM) and multilayer perceptron (MLP) to explore the effectiveness of each algorithm for monitoring CVD is also discussed. Both models were able to classify CVD risk with the SVM achieving the highest accuracy (63%) and specificity (76%). Finally, unlike current systems the resource requirements for each component in the system was evaluated. The MLP was found to be more efficient when running on the mobile device compared to the SVM. The results of thesis also show that the MLAs complexity was not a barrier to deployment on a mobile device. / Thesis / Master of Applied Science (MASc) / In this thesis, a novel mobile system for monitoring cardiovascular (CVD) disease is presented. The system allows for the continuous monitoring of both physiological sensors, data from a patient’s health record and analysis of the data directly on the mobile device using machine learning algorithms (MLA) to predict an individual’s CVD severity level. The system successfully demonstrated that a mobile device can act as a complete monitoring system without requiring constant communication with a remote server. A comparative analysis between the support vector machine (SVM) and multilayer perceptron (MLP) to explore the effectiveness of each MLA for monitoring CVD is also discussed. Both models were able to classify CVD severity with the SVM achieving the highest accuracy (63%) and specificity (76%). Finally, the resource requirements for each component in the system were evaluated. The results show that the MLAs complexity was not a barrier to deployment on a mobile device.

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This study offers insight into students' use and desire to use mobile devices for educational purposes. I examined college students' mobile device usage on the basis of demographic factors including sex, age, ethnicity, class standing, mode of delivery, and socioeconomic status. This study also investigated factors that affect students' likelihood to use mobile devices for academic pursuits. I utilized data from the EDUCAUSE Center for Analysis and Research's (ECAR) 2015 Student Technology Survey. Of the 10,000 undergraduate respondents, 56% were female, 70% were between the ages of 18-24, 73% attended college full time and the breakdown of ethnicity included 59% Caucasian, 16% Hispanic, 13% African American, 8% Asian and 1% Native American. The results indicated that traditional aged students reportedly used smartphones more frequently, whereas non-traditional aged students reportedly used tablets more. Students most frequently reported using their devices in class to connect to the learning material. Institutional technology infrastructure and support were strong factors impacting students' use of smartphones. Results of this research can assist higher education faculty and administrators in devising comprehensive training and technology plans to support and encourage students' use of mobile devices for educational purposes.

Duolingo is today the most popular app when it comes to language learning. Gamification plays a major role in increasing the motivation of Duolingo's users. Duolingo has a strong graphic identity that has been developed over the past ten years and in this paper, I investigate how they with the help of colour and shape that help the gamification elements to strengthen the motivation of the user. Because there are so many different gamification elements in Duolingo, it is the "skill-tree" and the app's front page that are the focus of the analysis. The results show that Duolingo has a very well thought out design that is simple but powerful with a lot of symbolism that originates from ancient cultures where the symbolism from both icons and colours has wide meanings and can be decoded by people from many different cultures and backgrounds.

電子連線與隨身行動裝置的興起，滿足了使用者希望能隨時隨地取得資訊的需求，而旅行者的資訊使用行為，恰巧符合此特性。一份資訊與介面設計良好的行動旅遊內容，不但可讓旅人減輕負擔，還可藉由行動連網獲取旅程中最即時的資訊。但目前應用於行動裝置平台上的旅遊資訊多偏向提供部分適地性服務（Location Based Service），亦即透過GPS等定位技術，確認使用者所在位置，進而提供相關資訊的服務，如主動提供當地加油、餐飲等各項資訊服務，此類適地性服務多為片段提供購物消費資訊，並非完整之旅遊資訊。本研究探討數位旅遊資訊內容該如何設計與呈現於具備影音、音樂、圖像、照相、電腦等多功能的行動裝置平台，以滿足使用者的資訊需求。研究首先提出一套行動旅遊資訊系統應包含的資訊內容與架構，然後進行雛型設計，最後評估測試此系統的適用程度。研究結果發現動態旅行的旅遊資訊，可在行動裝置平台尋得一個呈現的嶄新舞台。 / The integration of the internet and mobile devices satisfies the drsire of “information on the go”. This demand also matches the information usage behavior for travelers. A well designed mobile traveling information with convenient user interfaces helps them to get what they need at any moment while traveling through mobile internet. However, the current traveling information in mobile platform is usually location based services. The kind of services does not provide a complete traveling content but only small pieces of information. The thesis focuses on the design of an integrated digital content on mobile devices for the travelers. It includes the design of content structure, information display and user interface. The mobile platform targets on those who equipped with multimedia and 3G wireless communication ability. We propose a content planning and informative structure for traveling information. A prototyping system was first made to evaluate the concept of information design. Then the implementation and further evaluation was done by using the NOKIA N73 3G cell phone. The results show that personal mobile devices offering a new stage for the dynamic traveling information.

本研究提出一項無所不在的學習系統架構改變傳統數位學習之教育傳遞的方式，讓學習者能在任何時間、任何地點透過行動裝置，連結雲端上的學習系統便能自動取得數位化的教學課程及輔助教材等教學資源，並結合RFID標籤之唯一性及無線辨識功能，除了可感測、讀取周遭環境物件資訊以外，更作為學習者個人辨識登入的方法，進而驗證以取得個人所屬的學習課程或學習進度規劃等功能，創造個人化無所不在學習，期許改善目前數位學習在散播教育資源這塊領域，仍有不足之處所造成的數位落差。系統架構本身採用雲端運算作為後端開發技術，將系統、數位學習課程與資料庫分散在各地，以減少單一系統之資源負載量過大及頻寬不足等問題，讓學習者接受即需的教學服務。 / This paper proposes a ubiquitous learning system framework, in order to improve traditional e-learning method for delivering education. Learners could connect to the learning system on the cloud by mobile devices at any time and any place. It could automatically access digital educational resources such as learning courses and supplementary materials. Using the RFID tag for uniqueness and radio frequency identification function. In addition to context-aware and reading the information of objects around the enviroment. It also can be a personalised identify for learners to login and access one’s own function of learning courses or learning scheduling to create personalized ubiquitous learning. There is lack of education due to digital divide which calls for improvement of distributing educational resources. The proposed system architecture incorporates cloud computing for back-end development technology. In order to reduce resource overload of the single system and lack of bandwidth, distributing the learning system, e-learning course and database to several places enable learners to take on-demand educational services.