Examination of Mr. Thomas C. Brown, a free colored citizen of S. Carolina, as to the actual state of things in Liberia in the years 1833 and 1834, at the Chatham Street Chapel, May 9th & 10th, 1834.

The examination was conducted by a committee of the American Anti-Slavery Society. cf. Preliminary remarks.

A treatise concerning the Last Judgment : and the destruction of Babylon, shewing that all the predictions contained in the Apocalypse are at this day fulfilled, being a testimony of things heard and seen. Originally published at London in Latin, in 1758. Also, A continuation concerning the last judgment, and spiritual world. Originally published at Amsterdam in Latin, in 1763 /

Mode of access: Internet.

The philosophy of the human mind in respect to religion, or, A demonstration from the necessity of things that religion entered the world by revelation : also, an inquiry into the production, nature, and effects of the Christian faith ... the detection of long standing errors, &c., and the necessary dependence of the American republics upon the Christian religion ... /

Shaw & Shoemaker

A guide to the scientific knowledge of things familiar.

Mode of access: Internet.

The fear of things /

Mode of access: Internet.

A theoretic explanation of the science of sanctity : according to reason, Scripture, common sense, and the analogy of things : containing an idea of God, of his creations and kingdoms, of the Holy Scriptures, of the Christian trinity, and of the Gospel system /

Mode of access: Internet.

Sadie; the story of a girl, some men, and the eternal fitness of things.

Mode of access: Internet.

The improvement of the present state of things: A discourse to the students of Dartmouth College, November, 1852.

Mode of access: Internet.

Efficient Data Management with Applications to IoT

The Internet of Things (IoT) consists of a worldwide “network of networks,” composed by billions of interconnected heterogeneous devices denoted as things or “Smart Objects” (SOs). Significant research efforts have been dedicated to port the experience gained in the design of the Internet to the IoT, with the goal of maximizing interoperability, using the Internet Protocol (IP) and designing specific protocols like the Constrained Application Protocol (CoAP), which have been widely accepted as drivers for the effective evolution of the IoT. This first wave of standardization can be considered successfully concluded and we can assume that communication with and between SOs is no longer an issue. At this time, to favor the widespread adoption of the IoT, it is crucial to provide mechanisms that facilitate IoT data management and the development of services enabling a real interaction with things. Several reference IoT scenarios have real-time or predictable latency requirements, dealing with billions of device collecting and sending an enormous quantity of data. These features create a new need for architectures specifically designed to handle this scenario, hear denoted as “Big Stream”. In this thesis a new Big Stream Listener-based Graph architecture is proposed. Another important step, is to build more applications around the Web model, bringing about the Web of Things (WoT). As several IoT testbeds have been focused on evaluating lower-layer communication aspects, this thesis proposes a new WoT Testbed aiming at allowing developers to work with a high level of abstraction, without worrying about low-level details. Finally, an innovative SOs-driven User Interface (UI) generation paradigm for mobile applications in heterogeneous IoT networks is proposed, to simplify interactions between users and things.

Sensor IoT para monitorización de consumo de energía en continua

Hoy en día la mayor parte de los sensores de energía IoT (Internet of Things) están orientados a la medida de corriente alterna (AC). No son aptos para monitorizar equipos que no estén conectados a la red eléctrica (baterías, paneles fotovoltaicos, etc.) o que formen parte de otros equipos más grandes y que estén situados detrás del transformador (ej. aceleradores de cómputo en supercomputadores). El presente trabajo tiene como objetivo principal construir un sistema, con una instalación sencilla y reducida, que permita la monitorización de consumo de dispositivos conectados a corriente continua. Toda la información recogida será mostrada a través de una interfaz web, que nos permitirá observar los cambios en el consumo en tiempo real con un intervalo de actualización especificado por el usuario. Además el sistema será robusto, con bajo coste de implementación y permitirá una alta escalabilidad, ya que el objetivo del proyecto es que sea escalable a nivel de centro de datos o institución.

Mobile Phones, Sensors & The Crowd: Lessons Learnt From Development of a Real-Time Travel Information System

Postprint

Semantic Stream Processing for IoT Devices in the Food Safety Domain

Postprint

Theoretical and Quantitative Comparison of SensibleThings and GSN

This project is aimed at making comparison between current existing Internet- of-Things (IoT) platforms, SensibleThings (ST) and Global Sensors Networks (GSN). Project can be served as a further work of platforms’ investigation. Comparing and learning from each other aim to contribute to the improvement of future platforms development. Detailed comparison is mainly with the respect of platform feature, communication and data present-frequency performance under stress, and platform node scalability performance on one limited device. Study is conducted through developing applications on each platform, and making measuring performance under the same condition in household network environment. So far, all these respects have had results and been concluded. Qualitatively comparing, GSN performs better in the facets of node’s swift development and deployment, data management, node subscription and connection retry mechanism. Whereas, ST is superior in respects of network package encryption, platform reliability, session initializing latency, and degree of developing freedom. In quantitative comparison, nodes on GSN has better data push pressure resistence while ST nodes works with lower session latency. In terms of data present-frequency, ST node can reach higher updating frequency than GSN node. In the aspect of node sclability on one limited device, ST nodes take the advantage in averagely lower latency than GSN node when nodes number is less than 15 on limited device. But due to sharing mechanism of GSN, on one limited device, it's nodes shows more scalable if platform nodes have similar job.

IoT Based Pain Management using Physiological Parameters

The continuous technology evaluation is benefiting our lives to a great extent. The evolution of Internet of things and deployment of wireless sensor networks is making it possible to have more connectivity between people and devices used extensively in our daily lives. Almost every discipline of daily life including health sector, transportation, agriculture etc. is benefiting from these technologies. There is a great potential of research and refinement of health sector as the current system is very often dependent on manual evaluations conducted by the clinicians. There is no automatic system for patient health monitoring and assessment which results to incomplete and less reliable heath information. Internet of things has a great potential to benefit health care applications by automated and remote assessment, monitoring and identification of diseases. Acute pain is the main cause of people visiting to hospitals. An automatic pain detection system based on internet of things with wireless devices can make the assessment and redemption significantly more efficient. The contribution of this research work is proposing pain assessment method based on physiological parameters. The physiological parameters chosen for this study are heart rate, electrocardiography, breathing rate and galvanic skin response. As a first step, the relation between these physiological parameters and acute pain experienced by the test persons is evaluated. The electrocardiography data collected from the test persons is analyzed to extract interbeat intervals. This evaluation clearly demonstrates specific patterns and trends in these parameters as a consequence of pain. This parametric behavior is then used to assess and identify the pain intensity by implementing machine learning algorithms. Support vector machines are used for classifying these parameters influenced by different pain intensities and classification results are achieved. The classification results with good accuracy rates between two and three levels of pain intensities shows clear indication of pain and the feasibility of this pain assessment method. An improved approach on the basis of this research work can be implemented by using both physiological parameters and electromyography data of facial muscles for classification.

A Mobile High Sensitivity On-field Organophosphorous Compounds Detecting System for IoT Based Food Safety Tracking

Food safety has always been a social issue that draws great public attention. With the rapid development of wireless communication technologies and intelligent devices, more and more Internet of Things (IoT) systems are applied in the food safety tracking field. However, connection between things and information system is usually established by pre-storing information of things into RFID Tag, which is inapplicable for on-field food safety detection. Therefore, considering pesticide residue is one of the severe threaten to food safety, a new portable, high-sensitivity, low-power, on-field organophosphorus (OP) compounds detection system is proposed in this thesis to realize the on-field food safety detection. The system is designed based on optical detection method by using a customized photo-detection sensor. A Micro Controller Unit (MCU) and a Bluetooth Low Energy (BLE) module are used to quantize and transmit detection result. An Android Application (APP) is also developed for the system to processing and display detection result as well as control the detection process. Besides, a quartzose sample container and black system box are also designed and made for the system demonstration. Several optimizations are made in wireless communication, circuit layout, Android APP and industrial design to realize the mobility, low power and intelligence.