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Chen, Chao
- Implementing and Evaluating A Wireless Body Sensor System For Automated Physiological Data Acquisition At Home
Abstract Views :205 |
PDF Views:126
Authors
Affiliations
1 Department of Engineering, Indiana University - Purdue University, Fort Wayne, Indiana, US
1 Department of Engineering, Indiana University - Purdue University, Fort Wayne, Indiana, US
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 2, No 3 (2010), Pagination: 24-38Abstract
Advances in embedded devices and wireless sensor networks have resulted in new and inexpensive health care solutions. This paper describes the implementation and the evaluation of a wireless body sensor system that monitors human physiological data at home. Specifically, a waist-mounted triaxial accelerometer unit is used to record human movements. Sampled data are transmitted using an IEEE 802.15.4 wireless transceiver to a data logger unit. The wearable sensor unit is light, small, and consumes low energy, which allows for inexpensive and unobtrusive monitoring during normal daily activities at home. The acceleration measurement tests show that it is possible to classify different human motion through the acceleration reading. The 802.15.4 wireless signal quality is also tested in typical home scenarios. Measurement results show that even with interference from nearby IEEE 802.11 signals and microwave ovens, the data delivery performance is satisfactory and can be improved by selecting an appropriate channel. Moreover, we found that the wireless signal can be attenuated by housing materials, home appliances, and even plants. Therefore, the deployment of wireless body sensor systems at home needs to take all these factors into consideration.Keywords
Physiologic Data Acquisition, Wireless Body Sensor System, Smart Home Health Care.Full Text
- Exploiting Raspberry PI Clusters And Campus Lab Computers For Distributed Computing
Abstract Views :120 |
PDF Views:77
Authors
Jacob Bushur
1,
Chao Chen
1
Affiliations
1 Department of Electrical and Computer Engineering, Purdue University Fort Wayne Fort Wayne, Indiana, US
1 Department of Electrical and Computer Engineering, Purdue University Fort Wayne Fort Wayne, Indiana, US
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 14, No 3 (2022), Pagination: 41-54Abstract
Distributed computing networks harness the power of existing computing resources and grant access to significant computing power while averting the costs of a supercomputer. This work aims to configure distributed computing networks using different computer devices and explore the benefits of the computing power of such networks. First, an HTCondor pool consisting of sixteen Raspberry Pi single-board computers and one laptop is created. The second distributed computing network is set up with Windows computers in university campus labs. With the HTCondor setup, researchers inside the university can utilize the lab computers as computing resources. In addition, the HTCondor pool is configured alongside the BOINC installation on both computer clusters, allowing them to contribute to high-throughput scientific computing projects in the research community when the computers would otherwise sit idle. The scalability of these two distributed computing networks is investigated through a matrix multiplication program and the performance of the HTCondor pool is also quantified using its built-in benchmark tool. With such a setup, the limits of the distributed computing network architecture in computationally intensive problems are explored.Keywords
Distributed Computing, Single-Board Computers, Raspberry Pi.Full Text
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