Lightweight Middleware for Software Defined Radio (SDR) Inter-Components Communication

The ability to use Software Defined Radio (SDR) in the civilian mobile applications will make it possible for the next generation of mobile devices to handle multi-standard personal wireless devices and ubiquitous wireless devices. The original military standard created many beneficial characteristics for SDR, but resulted in a number of disadvantages as well. Many challenges in commercializing SDR are still the subject of interest in the software radio research community. Four main issues that have been already addressed are performance, size, weight, and power. This investigation presents an in-depth study of SDR inter-components communications in terms of total link delay related to the number of components and packet sizes in systems based on Software Communication Architecture (SCA). The study is based on the investigation of the controlled environment platform. Results suggest that the total link delay does not linearly increase with the number of components and the packet sizes. The closed form expression of the delay was modeled using a logistic function in terms of the number of components and packet sizes. The model performed well when the number of components was large. Based upon the mobility applications, energy consumption has become one of the most crucial limitations. SDR will not only provide flexibility of multi-protocol support, but this desirable feature will also bring a choice of mobile protocols. Having such a variety of choices available creates a problem in the selection of the most appropriate protocol to transmit. An investigation in a real-time algorithm to optimize energy efficiency was also performed. Communication energy models were used including switching estimation to develop a waveform selection algorithm. Simulations were performed to validate the concept.

iGrooving: A Generative Music Mobile Application for Runners

iGrooving is a generative music mobile application specifically designed for runners. The application’s foundation is a step-counter that is programmed using the iPhone’s built-in accelerometer. The runner’s steps generate the tempo of the performance by mapping each step to trigger a kick-drum sound file. Additionally, different sound files are triggered at specific step counts to generate the musical performance, allowing the runner a level of compositional autonomy. The sonic elements are chosen to promote a meditative aspect of running. iGrooving is conceived as a biofeedback-stimulated musical instrument and an environment for creating generative music processes with everyday technologies, inspiring us to rethink our everyday notions of musical performance as a shared experience. Isolation, dynamic changes, and music generation are detailed to show how iGrooving facilitates novel methods for music composition, performance and audience participation.

MobiMed: Framework for Rapid Application Development of Medical Mobile Apps

In the medical field images obtained from high definition cameras and other medical imaging systems are an integral part of medical diagnosis. The analysis of these images are usually performed by the physicians who sometimes need to spend long hours reviewing the images before they are able to come up with a diagnosis and then decide on the course of action. In this dissertation we present a framework for a computer-aided analysis of medical imagery via the use of an expert system. While this problem has been discussed before, we will consider a system based on mobile devices. Since the release of the iPhone on April 2003, the popularity of mobile devices has increased rapidly and our lives have become more reliant on them. This popularity and the ease of development of mobile applications has now made it possible to perform on these devices many of the image analyses that previously required a personal computer. All of this has opened the door to a whole new set of possibilities and freed the physicians from their reliance on their desktop machines. The approach proposed in this dissertation aims to capitalize on these new found opportunities by providing a framework for analysis of medical images that physicians can utilize from their mobile devices thus remove their reliance on desktop computers. We also provide an expert system to aid in the analysis and advice on the selection of medical procedure. Finally, we also allow for other mobile applications to be developed by providing a generic mobile application development framework that allows for access of other applications into the mobile domain. In this dissertation we outline our work leading towards development of the proposed methodology and the remaining work needed to find a solution to the problem. In order to make this difficult problem tractable, we divide the problem into three parts: the development user interface modeling language and tooling, the creation of a game development modeling language and tooling, and the development of a generic mobile application framework. In order to make this problem more manageable, we will narrow down the initial scope to the hair transplant, and glaucoma domains.

Trajectory Privacy Preservation in Mobile Wireless Sensor Networks

In recent years, there has been an enormous growth of location-aware devices, such as GPS embedded cell phones, mobile sensors and radio-frequency identification tags. The age of combining sensing, processing and communication in one device, gives rise to a vast number of applications leading to endless possibilities and a realization of mobile Wireless Sensor Network (mWSN) applications. As computing, sensing and communication become more ubiquitous, trajectory privacy becomes a critical piece of information and an important factor for commercial success. While on the move, sensor nodes continuously transmit data streams of sensed values and spatiotemporal information, known as ``trajectory information". If adversaries can intercept this information, they can monitor the trajectory path and capture the location of the source node. This research stems from the recognition that the wide applicability of mWSNs will remain elusive unless a trajectory privacy preservation mechanism is developed. The outcome seeks to lay a firm foundation in the field of trajectory privacy preservation in mWSNs against external and internal trajectory privacy attacks. First, to prevent external attacks, we particularly investigated a context-based trajectory privacy-aware routing protocol to prevent the eavesdropping attack. Traditional shortest-path oriented routing algorithms give adversaries the possibility to locate the target node in a certain area. We designed the novel privacy-aware routing phase and utilized the trajectory dissimilarity between mobile nodes to mislead adversaries about the location where the message started its journey. Second, to detect internal attacks, we developed a software-based attestation solution to detect compromised nodes. We created the dynamic attestation node chain among neighboring nodes to examine the memory checksum of suspicious nodes. The computation time for memory traversal had been improved compared to the previous work. Finally, we revisited the trust issue in trajectory privacy preservation mechanism designs. We used Bayesian game theory to model and analyze cooperative, selfish and malicious nodes' behaviors in trajectory privacy preservation activities.

Agent based risk patient management

This paper explores the role of information and communication technologies in managing risk and early discharge patients, and suggests innovative actions in the area of E-Health services. Treatments of chronic illnesses, or treatments of special needs such as cardiovascular diseases, are conducted in long-stay hospitals, and in some cases, in the homes of patients with a follow-up from primary care centre. The evolution of this model is following a clear trend: trying to reduce the time and the number of visits by patients to health centres and derive tasks, so far as possible, toward outpatient care. Also the number of Early Discharge Patients (EDP) is growing, thus permiting a saving in the resources of the care center. The adequacy of agent and mobile technologies is assessed in light of the particular requirements of health care applications. A software system architecture is outlined and discussed. The major contributions are: first, the conceptualization of multiple mobile and desktop devices as part of a single distributed computing system where software agents are being executed and interact from their remote locations. Second, the use of distributed decision making in multiagent systems, as a means to integrate remote evidence and knowledge obtained from data that is being collected and/or processed by distributed devices. The system will be applied to patients with cardiovascular or Chronic Obstructive Pulmonary Diseases (COPD) as well as to ambulatory surgery patients. The proposed system will allow to transmit the patient's location and some information about his/her illness to the hospital or care centre

Integration of process planning and scheduling using mobile-agent based approach in a networked manufacturing environment

Effective and efficient implementation of intelligent and/or recently emerged networked manufacturing systems require an enterprise level integration. The networked manufacturing offers several advantages in the current competitive atmosphere by way to reduce, by shortening manufacturing cycle time and maintaining the production flexibility thereby achieving several feasible process plans. The first step in this direction is to integrate manufacturing functions such as process planning and scheduling for multi-jobs in a network based manufacturing system. It is difficult to determine a proper plan that meets conflicting objectives simultaneously. This paper describes a mobile-agent based negotiation approach to integrate manufacturing functions in a distributed manner; and its fundamental framework and functions are presented. Moreover, ontology has been constructed by using the Protégé software which possesses the flexibility to convert knowledge into Extensible Markup Language (XML) schema of Web Ontology Language (OWL) documents. The generated XML schemas have been used to transfer information throughout the manufacturing network for the intelligent interoperable integration of product data models and manufacturing resources. To validate the feasibility of the proposed approach, an illustrative example along with varied production environments that includes production demand fluctuations is presented and compared the proposed approach performance and its effectiveness with evolutionary algorithm based Hybrid Dynamic-DNA (HD-DNA) algorithm. The results show that the proposed scheme is very effective and reasonably acceptable for integration of manufacturing functions.

Progettazione ed implementazione di una applicazione Android per la creazione di itinerari di viaggio

Il progetto di tesi consiste nella progettazione e nell'implementazione di una applicazione mobile Android nativa per la generazione automatica di itinerari di viaggio in base ad alcuni dati inseriti in input dall'utente. La app è costituita da una serie di activity di raccolta dati in cui viene chiesto all'utente di inserire le sue preferenze in quanto a destinazione, periodo, modalità di viaggio ed altre informazioni. Completata questa fase viene attivato l'algoritmo che genera gli itinerari elaborando i dati raccolti. L'itinerario, che rappresenta il risultato ottenuto dall'algoritmo, è diviso in giorni ed ogni giorno di viaggio contiene i luoghi da visitare in ordine ottimizzato, con la possibilità di usufruire di ulteriori servizi di indicazioni stradali e visualizzazione su mappe. L'intero progetto è stato implementato in Java con l'ambiente di sviluppo Android Studio.

Valutazione della applicazione del ciclo Miller a motori a benzina ad iniezione diretta ad alta potenza specifica

Negli ultimi decenni nuove e sempre più restrittive normative antiinquinamento son state introdotte nei paesi maggiormente industrializzati dettando un aumento degli sforzi progettuali imposti all’industria automobilistica per cercare di contenere l’impatto ambientale esercitato dai motori a combustione interna. E’ evidente quindi l’importanza di possedere una profonda conoscenza dei fenomeni fisici e chimici che influenzano i processi di combustione così come avere a disposizione modelli quanto più accurati per la loro corretta rappresentazione tramite CFD. Per i motori ad accensione comandata gli studi si sono focalizzati sulla ricerca dell’efficienza evitando di incorrere in rischi di detonazione. Numerose sono le tecnologie che permettono di assolvere alle funzioni richieste, tra le più affermate vi sono i sistemi a fasatura variabile, in particolare le strategie che prendono il nome di ciclo Miller. Tale sistema, implementabile facilmente senza l’utilizzo di alcun sistema aggiuntivo, permette di ridurre sensibilmente temperature e pressioni in camera. Il seguente lavoro di tesi studierà, attraverso simulazione numerica tridimensionale condotta con software CONVERGE®, gli aspetti fisici e fluidodinamici indotti dalle diverse strategie REF, EIVC e LIVC applicate ad un motore GDI con tecnologia downsizing e turbocharging (modellato in ambiente CAD, tramite PTC CREO®). Successivamente, allo stesso motore, saranno apportate modifiche progettuali con lo scopo di comprendere in che modo un aumento di un punto del rapporto di compressione, che equivale a spostarsi verso zone a prestazioni più elevate, impatti sull’entità di pressione, temperatura e comportamento fluidodinamico e fisico a pari condizioni operative e di alzata. L’analisi ed il confronto con gli altri casi sancirà se questa nuova configurazione possa essere accettabile o rischiosa ai fini della detonazione.

Comparazione performance di un'applicazione enterprise basata su service mesh

Ultimamente si stanno sviluppando tecnologie per rendere più efficiente la virtualizzazione a livello di sistema operativo, tra cui si cita la suite Docker, che permette di gestire processi come se fossero macchine virtuali. Inoltre i meccanismi di clustering, come Kubernetes, permettono di collegare macchine multiple, farle comunicare tra loro e renderle assimilabili ad un server monolitico per l'utente esterno. Il connubio tra virtualizzazione a livello di sistema operativo e clustering permette di costruire server potenti quanto quelli monolitici ma più economici e possono adattarsi meglio alle richieste esterne. Data l'enorme mole di dati e di potenza di calcolo necessaria per gestire le comunicazioni e le interazioni tra utenti e servizi web, molte imprese non possono permettersi investimenti su un server proprietario e la sua manutenzione, perciò affittano le risorse necessarie che costituiscono il cosiddetto "cloud", cioè l'insieme di server che le aziende mettono a disposizione dei propri clienti. Il trasferimento dei servizi da macchina fisica a cloud ha modificato la visione che si ha dei servizi stessi, infatti non sono più visti come software monolitici ma come microservizi che interagiscono tra di loro. L'infrastruttura di comunicazione che permette ai microservizi di comunicare è chiamata service mesh e la sua suddivisione richiama la tecnologia SDN. È stato studiato il comportamento del software di service mesh Istio installato in un cluster Kubernetes. Sono state raccolte metriche su memoria occupata, CPU utilizzata, pacchetti trasmessi ed eventuali errori e infine latenza per confrontarle a quelle ottenute da un cluster su cui non è stato installato Istio. Lo studio dimostra che, in un cluster rivolto all'uso in produzione, la service mesh offerta da Istio fornisce molti strumenti per il controllo della rete a scapito di una richiesta leggermente più alta di risorse hardware.

Sviluppo di YouCrowd: una piattaforma per campagne mobile crowdsensing on-demand

Con il termine "crowdsensing" si intende una tecnica in cui un folto gruppo di individui aventi dispositivi mobili acquisiscono e condividono dati di natura diversa in maniera collettiva, al fine di estrarre informazioni utili. Il concetto di Mobile Crowdsensing è molto recente e derivante dalle ultime innovazioni tecnologiche in materia di connettività online e cattura di dati di vario genere; pertanto non si trova attualmente una vera e propria applicazione in campo reale, la modellazione solo teorica e fin troppo specifica pone un limite alla conoscenza di un ambito che può rivelarsi molto utile ai fini di ricerca. YouCrowd è un piattaforma web che va ad implementare un sistema di crowdsourcing completo, in grado di leggere dati dai numerosi sensori di uno smartphone e condividerli, al fine di ottenere una remunerazione per gli utenti che completano una campagna. La web application vede la sua implementazione di base supportata da NodeJS e si configura come una piattaforma dinamica che varia la propria interfaccia con l'utente in base alle richieste di dati da parte degli administrators. Il test di YouCrowd ha coinvolto un buon numero di partecipanti più o meno esperti nell'utilizzo degli strumenti informatici, rivelando delle buone prestazioni in relazione alla difficoltà del task e alle prestazioni del device in test.

Design and implementation of a Reinforcement Learning framework for iOS devices

Reinforcement Learning is an increasingly popular area of Artificial Intelligence. The applications of this learning paradigm are many, but its application in mobile computing is in its infancy. This study aims to provide an overview of current Reinforcement Learning applications on mobile devices, as well as to introduce a new framework for iOS devices: Swift-RL Lib. This new Swift package allows developers to easily support and integrate two of the most common RL algorithms, Q-Learning and Deep Q-Network, in a fully customizable environment. All processes are performed on the device, without any need for remote computation. The framework was tested in different settings and evaluated through several use cases. Through an in-depth performance analysis, we show that the platform provides effective and efficient support for Reinforcement Learning for mobile applications.

Two-way text messaging: an interactive mobile learning environment in higher education

Short messaging service (SMS) is perhaps the most popular mobile technology prevalent among students in higher education due to its ubiquitous nature and the capability of two-way communication. However, a major limitation in two-way text messaging is sending back a part of received data with the reply message. This limitation results in users of a mobile learning environment being unable to reply back to the correct destination. This article presents a two-way text messaging system that can be integrated into a learning management system (LMS) to provide an interactive learning experience to the user community. Initially, a database is integrated into the LMS that holds message information such as recipient's phone number, message body and user data header. A specific port associated with the SMS is used to conceal and exchange data of a particular course unit. Subsequently, software in the student's mobile device captures this message and sends back the reply message to the appropriate course unit allowing both teachers and students to view messages sent and replies received pertaining to a particular course. Results indicate the educational impact of the proposed system in improving the learning environment and benefits it offers to the community in a campus-wide implementation.

Hybrid ground-aerial mesh networks for IoT monitoring applications: network design and software platform development

The Internet of Things (IoT) has grown rapidly in recent years, leading to an increased need for efficient and secure communication between connected devices. Wireless Sensor Networks (WSNs) are composed of small, low-power devices that are capable of sensing and exchanging data, and are often used in IoT applications. In addition, Mesh WSNs involve intermediate nodes forwarding data to ensure more robust communication. The integration of Unmanned Aerial Vehicles (UAVs) in Mesh WSNs has emerged as a promising solution for increasing the effectiveness of data collection, as UAVs can act as mobile relays, providing extended communication range and reducing energy consumption. However, the integration of UAVs and Mesh WSNs still poses new challenges, such as the design of efficient control and communication strategies. This thesis explores the networking capabilities of WSNs and investigates how the integration of UAVs can enhance their performance. The research focuses on three main objectives: (1) Ground Wireless Mesh Sensor Networks, (2) Aerial Wireless Mesh Sensor Networks, and (3) Ground/Aerial WMSN integration. For the first objective, we investigate the use of the Bluetooth Mesh standard for IoT monitoring in different environments. The second objective focuses on deploying aerial nodes to maximize data collection effectiveness and QoS of UAV-to-UAV links while maintaining the aerial mesh connectivity. The third objective investigates hybrid WMSN scenarios with air-to-ground communication links. One of the main contribution of the thesis consists in the design and implementation of a software framework called "Uhura", which enables the creation of Hybrid Wireless Mesh Sensor Networks and abstracts and handles multiple M2M communication stacks on both ground and aerial links. The operations of Uhura have been validated through simulations and small-scale testbeds involving ground and aerial devices.

Sviluppo di un’app mobile con Realtà Aumentata e Machine Learning in contesto di biodiversità

Il volume di tesi ha riguardato lo sviluppo di un'applicazione mobile che sfrutta la Realtà Aumentata e il Machine Learning nel contesto della biodiversità. Nello specifico si è realizzato un modello di AI che permetta la classificazione di immagini di fiori. Tale modello è stato poi integrato in Android, al fine della realizzazione di un'app che riesca a riconoscere specifiche specie di fiori, oltre a individuare gli insetti impollinatori attratti da essi e rappresentarli in Realtà Aumentata.

Progetto DERNetSoft: design e sviluppo di un'app mobile per un futuro più sostenibile

Da anni ormai siamo inconsapevolmente "in guerra" con la natura. Sfruttiamo e sprechiamo risorse naturali senza alcuna considerazione per le conseguenze. Le città sono considerate le principali fonti dei problemi ambientali e la regolamentazione del consumo energetico urbano è fondamentale per affrontare il cambiamento climatico globale. DERNetSoft Inc, start-up californiana, ha intravisto il problema come un’opportunità per creare un proprio business il cui scopo è quello di contribuire a costruire un futuro a basse emissioni di carbonio, fornendo un servizio tecnologico scalabile e conveniente per consentire la riduzione delle emissioni di gas a effetto serra a livello mondiale. Per farlo vengono utilizzati i concetti di DER Energy e Aggregation Energy. Nel volume di tesi si affrontano e descrivono la progettazione di un’applicazione mobile, multipiattaforma, sviluppata con il framework React Native. L’app sviluppata è supportata da un’architettura basata su dei micro servizi implementati tramite il cloud di Google. La principale funzionalità dell’applicazione sviluppata è quella di notificare gli utenti di un evento ELRP che, attraverso incentivi economici, promuove la riduzione del consumo energetico durante i periodi di forte stress o emergenza della rete elettrica.