Search results for " analytic"
showing 10 items of 1718 documents
A Wireless Acoustic Array System for Binaural Loudness Evaluation in Cities
2017
Networks of acoustic sensors are being deployed in smart cities to continuously monitor noise levels. In this paper, a novel acoustic sensor device is designed for binaural loudness evaluation, in a standalone platform. The audio is acquired from an array of microphones and a binaural signal is synthesized by a direction-of-arrival algorithm and a head-related transfer function. Hardware setup and software algorithms are presented and the results are discussed. Finally, the tests conducted in an early deployment show the feasibility of using the device to carry out large temporal and spatial sampling for the evaluation of binaural loudness.
Reconstruction of undergraduate analytical chemistry laboratory course
2016
The Analytical chemistry laboratory course at the Department of Chemistry at the University of Jyväskylä was reconstructed due to problems in the traditional arrangement, structure and contents of the course. The purposes of the reform were: to increase student-centered activity, co-operation and inquiry-based learning; to strengthen the connections to real-life; to develop students’ critical-thinking skills; and to decrease the number of drop-outs during the course. The reconstructed course includes independent laboratory work tasks and a research project. The results of the projects are presented in a course seminar. All of the laboratory experiments are done in groups of 8-10 students un…
A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics
2015
Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to generate machine monitoring data from process plans. MTConnect is used to report the monitoring data. This paper presents (1) the characteristics and specification of milling machine tools, (2) the architecture for implementing the virtual milling machine model, and (3) the integration with a simulation environment for extending to a virtual shop floor model. This paper also includes a case study to explain how to use the virtual milling machin…
Warehouse threats and loss prevention management in case of fire
2016
Abstract Warehouses play an important role when it comes to the reception, delivery and storage of various types of goods. Due to the complex scenarios that may occur, as well as the heterogeneous nature of goods, warehouses bear a higher risk of accidents. Regardless if we’re taking about removing hassle or standardizing operations we speak the same language: insuring efficiency and increased efficiency leads to smart cost maintenances. In the article hear by we will observe the behavior of different warehouse materials in the case of trigger fired. Starting from the results obtained during the low scale tests and completing the premises with the large scale experiment (warehouse scale), w…
Exploring FPGA‐Based Lock‐In Techniques for Brain Monitoring Applications
2017
Functional near‐infrared spectroscopy (fNIRS) systems for e‐health applications usually suffer from poor signal detection, mainly due to a low end‐to‐end signal‐to‐noise ratio of the electronics chain. Lock‐in amplifiers (LIA) historically represent a powerful technique helping to improve performance in such circumstances. In this work a digital LIA system, based on a Zynq® field programmable gate array (FPGA) has been designed and implemented, in an attempt to explore if this technique might improve fNIRS system performance. More broadly, FPGA‐based solution flexibility has been investigated, with particular emphasis applied to digital filter parameters, needed in the digital LIA, and its …
Efecto de la retroalimentación orientada al acierto: un caso de estudio de analítica del aprendizaje
2020
La Analítica de datos en Educación se puede definir como el área encargada de medir, recopilar y analizar conjuntos de datos obtenidos mediante el uso de entornos tecnológicos de aprendizaje o plataformas de aprendizaje asistido por computadora que permiten registrar las interacciones o trazas digitales del estudiantado. En particular, el estudio de la traza digital registrada puede contribuir positivamente en la comprensión de las estrategias seguidas por el estudiantado al resolver una tarea. En este trabajo se presenta un caso de estudio exploratorio en el que analiza el posible impacto del uso de la retroalimentación orientada al acierto mediante el uso de un entorno tecnológico con el …
Relevance of Big Data for Business and Management. Exploratory Insights (Part I)
2018
Abstract Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a ubiquitous presence of day to day life. The main questions this exploratory paper seeks to address (throughout its two parts) are the following: What is the (actual) impact of Big Data on Business & Management and How can businesses (through their management) leverage the potential of Big Data to their benefit? A gradual, step by step approach (based on literature review and a variety of secondary data) will guide the paper in search for answers to the abovementioned questions: starting with a concise history of the topic Big …
Assessment of air passive sampling uptakes for volatile organic compounds using VERAM devices
2017
Abstract A calibration chamber has been designed and employed for the simple and easy determination of uptake sampling rate (RS) of volatile organic compounds (VOCs) from air using passive samplers. A flow of clean air was continuously spiked, at a constant VOC concentration, by the microinjection of a standard solution by means of a T-type tube. The developed system allowed the complete evaporation at room temperature of the standard solution in acetone and the air concentration of VOCs was easily controlled by the regulation of the clean air flow, the standard solution concentration and its flow. Active sampling was employed for monitoring the true concentration of the evaluated compounds…
Impact of historical mining assessed in soils by kinetic extraction and lead isotopic ratios.
2014
12 pages; International audience; The aim of this study is to estimate the long-term behaviour of trace metals, in two soils differently impacted by past mining. Topsoils from two 1 km(2) zones in the forested Morvan massif (France) were sampled to assess the spatial distribution of Cd, Cu, Pb and Zn. The first zone had been contaminated by historical mining. As expected, it exhibits higher trace-metal levels and greater spatial heterogeneity than the second non-contaminated zone, supposed to represent the local background. One soil profile from each zone was investigated in detail to estimate metal behaviour, and hence, bioavailability. Kinetic extractions were performed using EDTA on thre…
Determination of mono-, di- and trinitronaphthalenes in soil samples contaminated by explosives.
2004
We investigated the extraction of eight mono-, di- and trinitronaphthalenes from soil samples by ultrasonic, respectively, soxhlet extraction. Sonication was the more convenient procedure with a usually higher repeatability than the soxhlet method. All extracts were analysed by high-performance liquid chromatography with diode array detection. These methods were used to determine the concentration of nitronaphthalenes in five soil samples polluted by explosives. The most abundant contaminants were 1,5- and 1,8-dinitronaphthalene as well as 1,3,5-, 1,3,8- and 1,4,5-trinitronaphthalene. In all samples the sum of trinitronaphthalenes exceeded the sum of mono- and dinitronaphthalenes. It is rec…