Monitoring body motions related to Huntington disease by exploiting the 5G Paradigm
- Authors: Haider, Daniyal , Romain, Olivier , Kernec, Julien Le , Shah, Syed Yaseen , Farooq, Malik Muhammad Umer , Qadus, Zunaira
- Date: 2019
- Type: Text , Conference proceedings
- Relation: 2019 UK/ China Emerging Technologies (UCET); Glasgow UK; 21-22 August 2019 p. 1-4
- Full Text: false
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- Description: The modern wireless technology exploiting the full potential of 5G IoT is the future for healthcare sector. In the healthcare sector, the 5G technology will maximize the performance and will reduce the chances of damage to the patient by providing careful and advance activity monitoring scenarios. We have proposed the idea of monitoring different body posture in Huntington disease by exploiting the low cost wireless devices operating at 4.8 GHz frequency. The system captures the wireless channel information for three body motions and classification of these motions was performed by using support vector machine. The SVM used 10 time-domain features for the classification process by using three main kernel functions, such as, Linear, Polynomial and Radial basis function. The system minimizes all the external noise by using the microwave absorbing materials. This increases the performance and feasibility of sensing body motions.
Efficient spatio-temporal sensor deployments: A smart building application
- Authors: Linh, Nguyen , Guoqiang, Hu , Spanos, Costas J.
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 13th IEEE International Conference on Control & Automation (ICCA); Ohrid, Macedonia; 03-06 July, 2017 p. 612-617
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- Description: The paper addresses the problem of efficiently deploying sensors in spatial environments, e.g. smart buildings, for the purpose of monitoring environmental phenomena. By modelling the environmental fields using spatio-temporal Gaussian processes, a new and efficient optimality criterion of minimizing prediction uncertainties is proposed to find the best sensor locations. Though the environmental processes spatially and temporally vary, the proposed approach of choosing sensor positions is not affected by time variations, which significantly reduces computational complexity of the optimization problem. The sensor deployment problem is then solved by a practically and feasibly polynomial algorithm, where its solutions are guaranteed. The proposed approaches were implemented in a real tested space in a university building, where the obtained results are highly promising.
Predictive analytics for detecting sensor failure using autoregressive integrated moving average model
- Authors: Thiyagarajan, Karthick , Kodagoda, Sarath , Van Nguyen, Linh
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 1926-1931
- Full Text: false
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- Description: Sensors play a vital role in monitoring the important parameters of critical infrastructure. Failure of such sensors causes destabilization to the entire system. In this regard, this paper proposes a predictive analytics solution for detecting the failure of a sensor that measures surface temperature from an urban sewer. The proposed approach incorporates a forecasting technique based on the past time series of sparse data using an autoregressive integrated moving average (ARIMA) model. Based on the 95% forecast interval and continuity of faulty data, a criterion was set to detect anomalies and to issue a warning for sensor failure. The forecasted and faulty data were assumed Gaussian distributed. By using the probability density of the distribution, the mean and variance were computed for faulty data to examine the abnormality in the variance value of each day to detect the sensor failure. The experimental results on the sewer temperature data are appealing.
Tactile sensor based intelligent grasping system
- Authors: Venter, Justin , Mazid, Abdul Md
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 IEEE International Conference on Mechatronics (ICM); Churchill, 13-15 Feb; 2017 p. 303-308
- Full Text: false
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- Description: This paper offers the design and prototype technology of a tactile sensor, based on the principle of surface texture recognition, capable of monitoring slip in robotic grasping. The sensor has been mounted onto a parallel gripper jaw of a robot. The integrated system of tactile sensor, gripper, robot and the system control, in real life experiments, has proven itself capable of slip detection and adjusting adequate grasping force preventing objects from falling down. Several experiments have been carried out with the newly developed system for grasping a number of various object-samples. Success rate of the system for testing in slip detection and adjusting adequate grasping force in experiments was about 85% in average.
Localising runtime Anomalies in Service-Oriented Systems
- Authors: He, Qiang , Xie, Xiaoyuan , Wang, Yanchun , Ye, Dayong , Chen, Feifei , Jin, Hai , Yang, Yun
- Date: 2016
- Type: Text , Conference proceedings
- Relation: IEEE Transactions on Services Computing ( Volume: 10, Issue: 1, Jan.-Feb. 1 2017 ) Vol. 10, p. 94-106
- Full Text: false
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- Description: In a distributed, dynamic and volatile operating environment, runtime anomalies occurring in service-oriented systems (SOSs) must be located and fixed in a timely manner in order to guarantee successful delivery of outcomes in response to user requests. Monitoring all component services constantly and inspecting the entire SOS upon a runtime anomaly are impractical due to excessive resource and time consumption required, especially in large-scale scenarios. We present a spectrum-based approach that goes through a five-phase process to quickly localize runtime anomalies occurring in SOSs based on end-to-end system delays. Upon runtime anomalies, our approach calculates the similarity coefficient for each basic component (BC) of the SOS to evaluate their suspiciousness of being faulty. Our approach also calculates the delay coefficients to evaluate each BC's contribution to the severity of the end-to-end system delays. Finally, the BCs are ranked by their similarity coefficient scores and delay coefficient scores to determine the order of them being inspected. Extensive experiments are conducted to evaluate the effectiveness and efficiency of the proposed approach. The results indicate that our approach significantly outperforms random inspection and the popular Ochiai-based inspection in localizing single and multiple runtime anomalies effectively. Thus, our approach can help save time and effort for localizing runtime anomalies occuring in SOSs.
A biometric based authentication and encryption Framework for Sensor Health Data in Cloud
- Authors: Sharma, Surender , Balasubramanian, Venki
- Date: 2014
- Type: Text , Conference proceedings
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- Description: Use of remote healthcare monitoring application (HMA) can not only enable healthcare seeker to live a normal life while receiving treatment but also prevent critical healthcare situation through early intervention. For this to happen, the HMA have to provide continuous monitoring through sensors attached to the patient's body or in close proximity to the patient. Owing to elasticity nature of the cloud, recently, the implementation of HMA in cloud is of intense research. Although, cloud-based implementation provides scalability for implementation, the health data of patient is super-sensitive and requires high level of privacy and security for cloud-based shared storage. In addition, protection of real-time arrival of large volume of sensor data from continuous monitoring of patient poses bigger challenge. In this work, we propose a self-protective security framework for our cloud-based HMA. Our framework enable the sensor data in the cloud from (1) unauthorized access and (2) self-protect the data in case of breached access using biometrics. The framework is detailed in the paper using mathematical formulation and algorithms. © 2014 IEEE.
Availability measure model for Assistive Care Loop Framework using wireless sensor networks
- Authors: Balasubramanian, Venki , Hoang, Doan
- Date: 2010
- Type: Text , Conference proceedings
- Relation: 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010,Brisbane, 7th-10th Dec, 2010 published in Proceedings of ISSNIP 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, p. 281-286
- Full Text: false
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- Description: Nowadays, body area wireless sensor networks (BAWSNs) applications are increasingly being used in in-house health monitoring systems. These applications have stringent timing requirements and often run continuously without interruptions. Hence, it becomes imperative to determine the operational continuity of the BAWSN applications by measuring their availability. The BAWSN applications rely on the collection of data within a critical time from all of the source sensor nodes rather than the data from an individual source. Subsequently, the measure of availability for a BAWSN application should be based on the time and the data delivery from all the sensor nodes. Taking into account these specific characteristics and the constraints of the BAWSN, we develop a model to measure the availability of a BAWSN application based on the unavailable time. The proposed model is evaluated through a series of experiments conducted in our existing Assistive Care Loop Framework (ACLF). Furthermore, we also develop an analogous theoretical model to evaluate the availability of a BAWSN application