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Wireless patient monitoring systems are becoming increasing acceptable in today's healthcare market, because of their low cost and easy adoption/integration features. However, there is little research on assessing the clinical acceptability, accuracy and reliability of such systems. This paper aims to address some of the current issues and challenges facing wireless monitoring systems by adopting...
The mobile devices can perform many tasks including the processing of complex calculations, reproduction of high quality media and connection with the Internet. These tasks enable many new services to users which explore their locations in order to provide, for instance, information about the weather forecast, traffic monitoring, among others. Services which use information about location of users...
Advanced Process Control is an important research area in Semiconductor Manufacturing to improve process stability crucial for product quality. Actual research focuses on Virtual Metrology (VM) using high sophisticated Machine Learning methods to predict a predefined metrology target based on statistical models trained on historical data. Enhancing physical metrology by predictive models leads to...
Measurements are ever increasingly ubiquitous, playing a central role in a wide variety of applications. However, the capabilities of any measurement device (e.g., sensitivity, resolution, dynamic range, reliability, etc.) are directly related to the deployed measurement resources/cost (e.g., size, weight, power, etc.), almost all information acquisition systems experience a tradeoff among competing...
Energy storage can be used to suppress the power fluctuations in wind power systems, and thereby reduce the thermal excursion and improve the reliability. Since the cost of the energy storage in large power application is high, it is crucial to have a better understanding of the relationship between the size of the energy storage and the reliability benefit it can generate. Therefore, a reliability-oriented...
In this paper, the integration accuracy of conventional flipchip bonding is effectively enhanced by means of automatically maintaining the alignment between the chip and substrate during the time that offsets may take place, i.e., bonding conditions applying period. The conventional bonding bump and pad elements have been appropriately modified to construct a concave-convex pair, i.e., self-aligned...
This paper presents a multihop range-free localization algorithm to enhance the localization accuracy in anisotropic networks with a small number of anchors. We derive potential locations of a normal node and corresponding probabilities in terms of the average one-hop internodal distance, the average hop progress and the hop counts to anchors. A novel distance estimation based on the potential locations...
This paper deals with the influence of global and local objective image parameters of the analyzed image on the process of finding corresponding points. We examined the impact of objective parameters on the usability of some significant point detectors. Moreover, the paper also contains the comparison of the reliability of finding corresponding points for a particular image point by using common methods...
Customers extend robust trust to a business when they believe the business puts their interests first. Good experience of banking services and recommendations of other customers can increase trust. Loyalty and Word of mouth (WOM) is accepted as key factors successes of marketing. This paper seeks to discover the affecting factors on positive word of mouth and loyalty based on trust enhancement that...
This study examines the behavioral and neural mechanisms by which somatosensory training affects the human motor system. We have developed a technique, which combines psychophysical and neuroimaging procedures to examine plasticity in the resting-brain following perceptual learning in a somatosensory-discrimination task. We show that effects of perceptual learning are not local to sensory areas of...
In the last decade many approaches have been introduced that allow for automatic classification of brain tumors by means of pattern recognition and magnetic resonance spectroscopy. Despite promising classification accuracies, none of these methods has found its way into clinical practice, which is also related to the missing transparency for the basis of their decision making. In this work, we develop...
Soft errors caused by particle strikes are expected to increase as technology scales down. This is partially because more single-event transients (SET) are latched by memory elements at the primary output of combinational circuits. To speed up the assessment of SET-induced soft errors, we propose a systematic analysis method to examine the probability of a SET eventually being latched. In previous...
This paper discusses the increasing interest in performing End to End testing on modern protection systems. There are many and varied approaches to this test method, from simplistic to overly complex. What is really required and what really makes this test method valuable? What are the technical challenges and how to resolve them? These and other questions are answered. This paper makes a comparison...
Frequency monitoring on the power system is used to balance load and generation, as load increases the frequency value decrease and as generation increases the frequency values increases. Under normal operation the frequency is maintained between 59.98Hz and 60.02Hz in a 60Hz system. Today the balance between load and generation is achieved by controlling generation only [1]. However, as more load...
This paper presents a metric to estimate the register file criticality in processor-based systems. Due to project constrains, it is mandatory to identify and prioritize the most critical registers to protect when a selective fault mitigation approach is needed. The metric is based on the combination of three different criteria, which are computed dynamically during run-time. The applicability and...
To monitor the physical observable fact Wireless Sensor Networks (WSNs) can be deployed in a wide space with acceptable accuracy and reliability. The entities monitored by WSNs are temperature, pressure, humidity, salinity, metallic object, mobility. The capabilities of WSNs are used in military, commercial, environmental applications. Numerous battery powered devices are available in WSNs but the...
Collaborative Filtering (CF) is one of the most effective technologies in making rating prediction for recommender systems. Traditional user-based CF methods take user-item matrices as input and compute the prediction value based on user similarity. The computation of similarity between each user pair requires exact matching on item set by finding a minimum number of same items rated by both users...
We consider the problem of failure detection in networks with energy and communication constraints. Most of current implementations of unreliable failure detectors (FD) use mechanisms to notify process failures in fully connected networks with reliable communication links. This assumption is not applicable to lossy networks. Furthermore, such implementations do not consider resource limitations in...
Accurate performance evaluation for network algorithms is vital to meet various requirements of different applications, such as QoS, network security, traffic engineering. Although worst-case and average-case analysis are widely used in algorithm evaluation, they are often insufficient due to the lack of practicality. Smoothed Analysis (SA) introduces a new concept of smoothed complexity, remedying...
Wide deployment of communication devices on vehicles is on the horizon due to the development of intelligent transportation systems. Although these communication devices are originally designed for highway efficiency and safety applications, the mobile communication ability on vehicles also enables a lot of other emerging applications. In this paper we study an application scenario on utilizing vehicles...
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