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On the example of operations for manufacturing the “Axis” detail, the effectiveness of statistical control of the technological production process for the “Nalchik plant of highvoltage equipment” is demonstrated. Specific recommendations on the effective quality assurance of parts are given.
The ubiquitous growth of Internet of Things (IoT) and its medical applications has improved the effectiveness in remote health monitoring systems of elderly people or patients who need long-term personal care. Nowadays, chronic illnesses, such as, stroke, heart disease, diabetes, cancer, chronic respiratory diseases are major causes of death, in many parts of the world. In this paper, we propose a...
In any activity connected with monitoring, diagnostics and prognostics, the accuracy and believability of results is of paramount importance. Two main kinds of diagnostic errors, called Type I and Type II or False Positives and False Negatives are encountered whenever classification, such as “good” vs “bad” is considered. This has been thoroughly discussed, especially in the field of medicine, where...
The feasibility of large-scale decentralized networks for local computations, as an alternative to big data systems that are often privacy-intrusive, expensive and serve exclusively corporate interests, is usually questioned by network dynamics such as node leaves, failures and rejoins in the network. This is especially the case when decentralized computations performed in a network, such as the estimation...
Data collected by fitness trackers could play an important role in improving the health and well-being of the individuals who wear them. Many insurance companies even offer monetary rewards to participants who meet certain steps or calorie goals. However, in order for it to be useful, the collected data must be accurate and also reflect real-world performance. While previous studies have compared...
In this paper we introduce a novel, dense, system-on-chip many-core Lenovo NeXtScale System® server based on the Cavium THUNDERX® ARMv8 processor that was designed for performance, energy efficiency and programmability. THUNDERX processor was designed to scale up to 96 cores in a cache coherent, shared memory architecture. Furthermore, this hardware system has a power interface board (PIB) that measures...
The capacitor voltage transformer (CVT) is a potential transformer (PT) composed of capacitive voltage divider and electromagnetic unit. In high voltage classes, the capacitor voltage transformer has the advantage of simpler structure and lower cost in comparison with electromagnetic potential transformer (PT), so potential transformers with voltage class of 220kV and above are CVT basically. Transformer...
Energy consumption in Cloud computing is a significantissue and affects aspects such as the cost of energy, coolingin the data center and the environmental impact of cloud data centers. Monitoring and prediction provides the groundwork for improving the energy efficiency of data centers. This monitoring however is required to be fast and efficient without unnecessary overhead. It is also required...
Wireless Sensor Network (WSN) has recently emerged as a new widely used technology. However, the deployment of such networks has reported high rates of failures. Due to resource constraints of sensor nodes, the design of efficient failure detection techniques has become a very challenging issue. Already proposed WSN fault detection protocols have reported either a high number of false suspicions,...
Developing efficient maintenance system for Taiwan's machine-tool industry is important because of the cloud service enhancement recently. This study provides innovative maintenance system via cloud virtual computing for machine tool management. The virtual maintenance cloud is a monitoring system for precision manufacturing plant. The virtual maintenance cloud can combine eight kinds of numerical...
Studies focused on soundscape are important on biological conservation, because natural sounds are permanent and with dynamic properties, they have been linked to the welfare of the environment and the structure of the landscape. These studies usually analyze the sound in time and frequency domains, with computationally heavy and centralized algorithms. However, new technologies for real time analysis...
The goal of this work is to exploit the slant-range measurements reaching centimetre accuracies using only the amplitude information of SAR data acquired by TerraSAR-X satellite sensor. The leading idea is to evaluate the positioning accuracy of well identifiable and stable natural and man-made Persistent Scatterers (PS's) along the SAR line of sight. New Earth observation SAR (Synthetic Aperture...
Urban expansion monitoring and organization can be performed through space-based observation thanks to the revisit time and level of details guaranteed by satellite remote sensing. In particular, the Landsat mission products are the most used thanks to the long time coverage and open access policy. This paper proposed a hybrid method — combination of pixel- and object-based analysis — in order to...
Change detection is by definition the capability to detect and highlight changes occurring in space and time. Earth Observation satellites represent a fundamental source of information thanks to repeatability in time and spatial resolution. In this paper, we propose an unsupervised change detection technique capable of processing a series of single-date built-up area extractions with two main goals:...
Collecting data at regular time nowadays is ubiquitous. The most widely used type of data that is being collected and analyzed is financial data and sensor readings. Various businesses have realized that financial time series analysis is a powerful analytical tool that can lead to competitive advantages. Likewise, sensor networks generate time series and if they are properly analyzed can give a better...
During the recent decade we have experienced a rise of popularity of sensors capable of collecting large amounts of data. One of most popular types of data collected by sensors is time series composed of sequences of measurements taken over time. With low cost of individual sensors, multivariate time series data sets are becoming common. Examples can include vehicle or machinery monitoring, sensors...
Recurrent drift, as a specific type of concept drift, is characterised by the appearance of previously seen concepts. Therefore, in those cases the learning process could be saved or at least minimized by applying an already trained classification model. In this paper we propose Fuzzy-Rec, a framework that is able to deal with recurrent concept drifts by means of a repository of classification models...
This paper describes research into improving IEEE 1588 synchronization accuracy when using 1000BASE-T, Gigabit Ethernet over copper wiring. It describes the possible sources of error in such a system, such as path asymmetries and non-deterministic delays, and proposed solutions for them. The methods described improve synchronization accuracy by enhancing the accuracy of timestamps of both ingress...
In cloud computing environment, an application is always composed of several service components. A collection of service components is called a service family, and we name the cloud service components as service family members. In this paper, we propose a solution named Icebreaker to assemble service components belonging to the same application without sniffing tenants' privacy. Icebreaker characterizes...
We present a novel body-worn sensor for continuous real-time imaging of deep human tissues. The sensor operates at 40 MHz, and consists of a set of transmitting and receiving probes placed around the human body. Preliminary results show that the sensor can provide 16-pixel images of the underlying cross-section with accuracy better than 5%. Remarkably, this is the first time that tissues deep into...
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