Applying region-aware cyclic patterns to object recovering energy-efficiently in sensor networks

Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach

Sensors ◽

10.3390/s20010260 ◽

2020 ◽

Vol 20 (1) ◽

pp. 260 ◽

Cited By ~ 3

Author(s):

Jonas Beuchert ◽

Friedrich Solowjow ◽

Sebastian Trimpe ◽

Thomas Seel

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Real Time ◽

Inertial Sensor ◽

Process Models ◽

Wireless Sensor ◽

Orientation Data ◽

Cyclic Patterns ◽

Wide Range ◽

Event Triggered

Wireless sensor networks are used in a wide range of applications, many of which require real-time transmission of the measurements. Bandwidth limitations result in limitations on the sampling frequency and number of sensors. This problem can be addressed by reducing the communication load via data compression and event-based communication approaches. The present paper focuses on the class of applications in which the signals exhibit unknown and potentially time-varying cyclic patterns. We review recently proposed event-triggered learning (ETL) methods that identify and exploit these cyclic patterns, we show how these methods can be applied to the nonlinear multivariable dynamics of three-dimensional orientation data, and we propose a novel approach that uses Gaussian process models. In contrast to other approaches, all three ETL methods work in real time and assure a small upper bound on the reconstruction error. The proposed methods are compared to several conventional approaches in experimental data from human subjects walking with a wearable inertial sensor network. They are found to reduce the communication load by 60–70%, which implies that two to three times more sensor nodes could be used at the same bandwidth.

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The Effects of Estradiol on Chronically Damaged Human Fallopian Tubes: A SEM Study

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100119934 ◽

1985 ◽

Vol 43 ◽

pp. 648-649

Author(s):

A. Toledo ◽

G. Stoelk ◽

M. Yussman ◽

R.P. Apkarian

Keyword(s):

Menstrual Cycle ◽

Epithelial Cell ◽

Secretory Cell ◽

Estrogen Therapy ◽

Fallopian Tubes ◽

Cell Surfaces ◽

Proliferative Phase ◽

Cyclic Patterns ◽

Sem Study ◽

The U.S

Today it is estimated that one of every three women in the U.S. will have problems achieving pregnancy. 20-30% of these women will have some form of oviductal problems as the etiology of their infertility. Chronically damaged oviducts present problems with loss of both ciliary and microvillar epithelial cell surfaces. Estradiol is known to influence cyclic patterns in secretory cell microvilli and tubal ciliogenesis, The purpose of this study was to assess whether estrogen therapy could stimulate ciliogenesis in chronically damaged human fallopian tubes.Tissues from large hydrosalpinges were obtained from six women undergoing tuboplastic repair while in the early proliferative phase of fheir menstrual cycle. In each case the damaged tissue was rinsed in heparinized Ringers-lactate and quartered.

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