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Wang JM, Yang MT, Chen PL. Design and Implementation of an Intelligent Windowsill System Using Smart Handheld Device and Fuzzy Microcontroller. Sensors (Basel) 2017; 17:E830. [PMID: 28398266 DOI: 10.3390/s17040830] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 04/04/2017] [Accepted: 04/07/2017] [Indexed: 11/17/2022]
Abstract
With the advance of science and technology, people have a desire for convenient and comfortable living. Creating comfortable and healthy indoor environments is a major consideration for designing smart homes. As handheld devices become increasingly powerful and ubiquitous, this paper proposes an innovative use of smart handheld devices (SHD), using MIT App Inventor and fuzzy control, to perform the real-time monitoring and smart control of the designed intelligent windowsill system (IWS) in a smart home. A compact weather station that consists of environment sensors was constructed in the IWS for measuring of indoor illuminance, temperature-humidity, carbon dioxide (CO₂) concentration and outdoor rain and wind direction. According to the measured environment information, the proposed system can automatically send a command to a fuzzy microcontroller performed by Arduino UNO to fully or partly open the electric curtain and electric window for adapting to climate changes in the indoor and outdoor environment. Moreover, the IWS can automatically close windows for rain splashing on the window. The presented novel control method for the windowsill not only expands the SHD applications, but greatly enhances convenience to users. To validate the feasibility and effectiveness of the IWS, a laboratory prototype was built and confirmed experimentally.
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Park K, Kim SM, Eom WJ, Kim JJ. A Reconfigurable Readout Integrated Circuit for Heterogeneous Display-Based Multi-Sensor Systems. Sensors (Basel) 2017; 17:s17040759. [PMID: 28368355 PMCID: PMC5421719 DOI: 10.3390/s17040759] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 03/19/2017] [Accepted: 03/31/2017] [Indexed: 11/16/2022]
Abstract
This paper presents a reconfigurable multi-sensor interface and its readout integrated circuit (ROIC) for display-based multi-sensor systems, which builds up multi-sensor functions by utilizing touch screen panels. In addition to inherent touch detection, physiological and environmental sensor interfaces are incorporated. The reconfigurable feature is effectively implemented by proposing two basis readout topologies of amplifier-based and oscillator-based circuits. For noise-immune design against various noises from inherent human-touch operations, an alternate-sampling error-correction scheme is proposed and integrated inside the ROIC, achieving a 12-bit resolution of successive approximation register (SAR) of analog-to-digital conversion without additional calibrations. A ROIC prototype that includes the whole proposed functions and data converters was fabricated in a 0.18 μm complementary metal oxide semiconductor (CMOS) process, and its feasibility was experimentally verified to support multiple heterogeneous sensing functions of touch, electrocardiogram, body impedance, and environmental sensors.
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Affiliation(s)
- Kyeonghwan Park
- School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, 44919 Ulsan, Korea.
| | - Seung Mok Kim
- School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, 44919 Ulsan, Korea.
| | - Won-Jin Eom
- School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, 44919 Ulsan, Korea.
| | - Jae Joon Kim
- School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, 44919 Ulsan, Korea.
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Villalba G, Plaza F, Zhong X, Davis TW, Navarro M, Li Y, Slater TA, Liang Y, Liang X. A Networked Sensor System for the Analysis of Plot-Scale Hydrology. Sensors (Basel) 2017; 17:s17030636. [PMID: 28335534 PMCID: PMC5375922 DOI: 10.3390/s17030636] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 03/06/2017] [Accepted: 03/10/2017] [Indexed: 11/16/2022]
Abstract
This study presents the latest updates to the Audubon Society of Western Pennsylvania (ASWP) testbed, a $50,000 USD, 104-node outdoor multi-hop wireless sensor network (WSN). The network collects environmental data from over 240 sensors, including the EC-5, MPS-1 and MPS-2 soil moisture and soil water potential sensors and self-made sap flow sensors, across a heterogeneous deployment comprised of MICAz, IRIS and TelosB wireless motes. A low-cost sensor board and software driver was developed for communicating with the analog and digital sensors. Innovative techniques (e.g., balanced energy efficient routing and heterogeneous over-the-air mote reprogramming) maintained high success rates (>96%) and enabled effective software updating, throughout the large-scale heterogeneous WSN. The edaphic properties monitored by the network showed strong agreement with data logger measurements and were fitted to pedotransfer functions for estimating local soil hydraulic properties. Furthermore, sap flow measurements, scaled to tree stand transpiration, were found to be at or below potential evapotranspiration estimates. While outdoor WSNs still present numerous challenges, the ASWP testbed proves to be an effective and (relatively) low-cost environmental monitoring solution and represents a step towards developing a platform for monitoring and quantifying statistically relevant environmental parameters from large-scale network deployments.
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Affiliation(s)
- German Villalba
- Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O'Hara Street, 728 Benedum Engineering Hall, Pittsburgh, PA 15261, USA.
| | - Fernando Plaza
- Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O'Hara Street, 728 Benedum Engineering Hall, Pittsburgh, PA 15261, USA.
| | - Xiaoyang Zhong
- Department of Computer and Information Science, Indiana University Purdue University, 723 West Michigan Street, SL 280, Indianapolis, IN 46202, USA.
| | - Tyler W Davis
- Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O'Hara Street, 728 Benedum Engineering Hall, Pittsburgh, PA 15261, USA.
- Currently at USDA-ARS, Robert W. Holley Center for Agriculture and Health, 538 Tower Road, Ithaca, NY 14853, USA.
| | - Miguel Navarro
- Department of Computer and Information Science, Indiana University Purdue University, 723 West Michigan Street, SL 280, Indianapolis, IN 46202, USA.
| | - Yimei Li
- Department of Computer and Information Science, Indiana University Purdue University, 723 West Michigan Street, SL 280, Indianapolis, IN 46202, USA.
| | - Thomas A Slater
- Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O'Hara Street, 728 Benedum Engineering Hall, Pittsburgh, PA 15261, USA.
| | - Yao Liang
- Department of Computer and Information Science, Indiana University Purdue University, 723 West Michigan Street, SL 280, Indianapolis, IN 46202, USA.
| | - Xu Liang
- Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O'Hara Street, 728 Benedum Engineering Hall, Pittsburgh, PA 15261, USA.
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