A Study on Health Care in Internet of Things

Healthcare becomes one of major economic and social problems around the world, especially in aging people, where it costs tremendous health expanses and resources. The advancement of technology and consistent improvement in machine to machine technologies lead to the era of internet of things (IoT). The new trends in health care are gradually progressing with the help of IoT which may make us more health conscious. This paper reviews the concepts, applications and various existing technologies for health care. We have enumerated the difference between those techniques and brief explanation of scope of IoT in personalized health care

Future wireless applications for a networked city: services for visitors and residents

Future wireless networks will offer near-ubiquitous high-bandwidth communications to mobile users. In addition, the accurate position of users will be known, either through network services or via additional sensing devices such as GPS. These characteristics of future mobile environments will enable the development of location-aware and, more generally, context-sensitive applications. In an attempt to explore the system, application, and user issues associated with the development and deployment of such applications, we began to develop the Lancaster GUIDE system in early 1997, finishing the first phase of the project in 1999. In its entirety, GUIDE comprises a citywide wireless network based on 802.11, a context-sensitive tour guide application with, crucially, significant content, and a set of supporting distributed systems services. Uniquely in the field, GUIDE has been evaluated using members of the general public, and we have gained significant experience in the design of usable context-sensitive applications. We focus on the applications and supporting infrastructure that will form part of GUIDE II, the successor to the GUIDE system. These developments are designed to expand GUIDE outside the tour guide domain, and to provide applications and services for residents of the city of Lancaster, offering a vision of the future mobile environments that will emerge once ubiquitous high-bandwidth coverage is available in most cities

Wireless sensor network for indoor and outdoor atmospheric monitoring in culture heritage

Environmental monitoring is of paramount importance in the preservation of cultural heritage. Climatic conditions affect significantly the conservation state of cultural heritage assets and can accelerate their degradation process. Thus, a continuous and accurate monitoring system is required in most of the cultural heritage sites to control the micro-climate parameters. The proposed environmental monitoring system complies with the typical constraints required in the cultural heritage field and it is effectively employed in different monitoring campaigns still in progress. The system employs small sensor nodes that measure local temperature and humidity and wireless transmit acquired data to a dedicated receiver. The system is very flexible and can be adapted to serve almost every location, both indoor and outdoor. Moreover, the system can optionally provide a remote real-time data access using a cloud infrastructure when Internet and a power source are available in the heritage site

Hybrid ToF and RSSI real-time semantic tracking with an adaptive industrial internet of things architecture

Real-time asset tracking in indoor mass production manufacturing environments can reduce losses associated with pausing a production line to locate an asset. Complemented by monitored contextual information, e.g. machine power usage, it can provide smart information, such as which components have been machined by a worn or damaged tool. Although sensor based Internet of Things (IoT) positioning has been developed, there are still key challenges when benchmarked approaches concentrate on precision, using computationally expensive filtering and iterative statistical or heuristic algorithms, as a trade-off for timeliness and scalability. Precise but high-cost hardware systems and invasive infrastructures of wired devices also pose implementation issues in the Industrial IoT (IIoT). Wireless, selfpowered sensors are integrated in this paper, using a novel, communication-economical RSSI/ToF ranging method in a proposed semantic IIoT architecture. Annotated data collection ensures accessibility, scalable knowledge discovery and flexibility to changes in consumer and business requirements. Deployed at a working indoor industrial facility the system demonstrated comparable RMS ranging accuracy (ToF 6m and RSSI 5.1m with 40m range) to existing systems tested in non-industrial environments and a 12.6-13.8m mean positioning accuracy

Voice Enabled Indoor Localisation

The ability to track objects in real time offers a wide range of beneficial applications that include safety, security and the supply chain. The problem with location based systems is that they can be inconvenient and time-consuming to locate an object. A user has to access a computer and log onto a location system to locate an object. There are several problems with current location determination interfaces. Firstly a user has to log on to a computer; this can be inconvenient and time consuming as the user may have to locate a computer (which may be in another area of a building) and then log onto the system. The user has to look at a map that is displayed on screen to see where the object is located; the problem with this is that the user could make a mistake by looking at the wrong object or the wrong area of the building. Incorporating a voice control function into the system can solve interaction problems with some location based systems. This paper provides an overview of integrating voiceXML with an indoor location positioning system to locate objects through voice commands

TSU Faculty Research Database-Jan 2017

Research interests and selected publications from 230 Texas Southern University faculty have been updated in Jan 2017. Faculty from Public Affairs, the College of Science, Engineering and Technology, the College of Pharmacy and Health Sciences, the College of Education, the College of Business, the College of Liberal Arts and Behavioral Sciences, the Law School and the School of Communications are included

Multiple zones surveillance system using RFID

Monitoring and tracking the activities of individuals (or objects) in multiple zones or areas simultaneously is quite a challenging task. It is a very common practice to use observation cameras or to have security personnel to guard the specified areas. However, area surveillances using these common methods may become tedious when the activities to watch out for increases. More cameras as well as manpower are needed to cater for the increment of activities for each zone. On top of that, should anyone (or objects) vacates or trespasses the designated areas, it would take some time to identify them, hence resulting complexity in tracing their whereabouts. To overcome these challenges, we propose a surveillance system for multiple zones using RFID technology. Individuals or objects to be monitored are tagged using RFID tags that hold unique identification. Each zone is allocated with one RFID reader, which will transmit the information of activities of the respective zones to the host computer in the control room. The security personnel in the control room would be able to identify which individual or objects that are out of their designated zones or trespassing to another zone based on the tags that has been detected by the reader. Should the tags are removed without authorization, alarm will be generated. Every activity transactions are recorded in a database for future references or actions. A case study of inmate tracking system is conducted and demonstrated to prove the capability of the proposed method