An inexpensive data acquisition system for a multi-bed intensive care unit

A microwave tomography system utilizing an inexpensive data acquisition system is introduced. The data acquisition system comprises several antennas surrounding an object-of-interest, field measuring probes distributed evenly in the measurement chamber, and a lock-in amplifier unit to perform measurements at audio frequencies based on the modulated scatterer technique. Images of different objects are successfully reconstructed using the presented system.

An inexpensive data acquisition system has been developed for mass‐analyzed kinetic energy experiments which involve scanning the electrostatic analyzer of a reversed geometry mass spectrometer. The various hardware and software design features are described. Results for data obtained with a commercially available VG ZAB‐2F mass spectrometer are presented and discussed.

BackgroundFew data are available regarding the epidemiology of invasive aspergillosis (IA) in ICU patients. The aim of this study was to examine epidemiology and economic outcomes (length of stay, hospital costs) among ICU patients with IA who lack traditional risk factors for IA, such as cancer, transplants, neutropenia or HIV infection.MethodsRetrospective cohort study using Premier Inc. Perspective™ US administrative hospital database (2005–2008). Adults with ICU stays and aspergillosis (ICD-9 117.3 plus 484.6) who received initial antifungal therapy (AF) in the ICU were included. Patients with traditional risk factors (cancer, transplant, neutropenia, HIV/AIDS) were excluded. The relationship of antifungal therapy and co-morbidities to economic outcomes were examined using Generalized linear models.ResultsFrom 6,424 aspergillosis patients in the database, 412 (6.4%) ICU patients with IA were identified. Mean age was 63.9 years and 53% were male. Frequent co-morbidities included steroid use (77%), acute respiratory failure (76%) and acute renal failure (41%). In-hospital mortality was 46%. The most frequently used AF was voriconazole (71% received at least once). Mean length of stay (LOS) was 26.9 days and mean total hospital cost was $76,235. Each 1 day lag before initiating AF therapy was associated with 1.28 days longer hospital stay and 3.5% increase in costs (p < 0.0001 for both).ConclusionsInvasive aspergillosis in ICU patients is associated with high mortality and hospital costs. Antifungal timing impacts economic outcomes. These findings underscore the importance of timely diagnosis, appropriate treatment, and consideration of Aspergillus as a potential etiology in ICU patients.

Large scale random and intermittent wind power integration will significantly increase the additional operation cost of power system, and the variation characteristics are complex and difficult to accurately quantify. Different from the existing work, this paper first proposes a double-layer clustering method for wind power fluctuation scenarios. Secondly, a production simulation model of new energy power system is established to generate a comprehensive, real and representative sample set of power system operation cost. Finally, a data-driven mapping model between wind power fluctuation and the operation cost of power system and thermal power unit is established by using deep neural network algorithm. The proposed method can accurately simulate the variation trend of power system operation cost in different seasons and wind power fluctuation scenarios. The results show that the simulation error of thermal power unit and total system operation cost can reach 3%-13% and 4%-18%. This work provides insights and policy guidance for improving the wind power consumption rate and power system cost.

Automatic Multiple Sensor Data Acquisition System in a Real-time Production Environment

A system of computer programs and hardware was developed by the Instrumentation Branch of the Morgantown Energy Technology Center (METC) to provide data acquisition and control features for research projects at the site. The Automatic Data Acquisition and Control System (ADACS) has the capability of servicing up to eight individual projects simultaneously, providing data acquisition, data feedback, and process control where needed. Several novel software features - including a data table driven program, extensive feedback in real time, free format English commands, and high reliability - were incorporated to provide these functions.

An automatic biomedical acquisition system for hospital registration is proposed. The system consists of the guide system, the acquisition device and the biomedical measuring devices. The guide system installed in control unit facilitates user to interact with the system properly. An acquisition device (Hub) is used to acquire data from attached measuring devices through RS-232 ports and then transfers measured information to the control unit. Several measuring devices are attached to the Hub including the height meter that we have developed based on an ultrasonic sensor. In the experiment section, the accuracies of both the Hub and the height meter were performed. The results showed the excellent transmission reliability of the Hub and the accurate measurement of the height using our height meter.

In order to reasonably quantify the influence of wind and photovoltaic power output uncertainty on optimal scheduling, a day-ahead optimal scheduling model of wind-photovoltaic-thermal-energy storage combined power generation system considering opportunity-constrained programming is established. The model takes the system operation cost, which contains the operation cost of thermal power units, the penalty cost of pollutants, the operation cost of energy storage system and the penalty cost of new energy curtailment, as the optimization goal. In order to characterize the influence of wind and photovoltaic power prediction errors on the optimal scheduling, an opportunity-constrained programming method is used to calculate the rotating reserve capacity of the system in each period. The simulation calculation is performed on a typical day. The results show that the established model can realize the multi-energy complementary operation of the wind-photovoltaic-thermal-energy storage system. By reasonably quantifying the influence of the wind and photovoltaic power prediction error on the optimal scheduling, the system operation cost can be reduced, which verifies the validity of the model.

This work presents a methodological proposal for acquisition of biometric data through telemetry basing its development on a research-action and a case study. Nowadays, the qualified professionals of physical evaluation have to use specific devices to obtain biometric signals and data. These devices in the most of the time are high cost and difficult to use and handling. Therefore, the methodological proposal was elaborate in order to develop, conceptually, a bio telemetric device which could acquire the desirable biometric signals: oxymetry, biometrics, corporal temperature and pedometry which are essential for the area of physical evaluation. It was researched the existent biometrics sensors, the possible ways for the remote transmission of signals and the computer systems available so that the acquisition of data could be possible. This methodological proposal of remote acquisition of biometrical signals is structured in four modules: Acquisitor of biometrics data; Converser and transmitter of biometric signals; Receiver and Processor of biometrics signals and Generator of Interpretative Graphs. The modules aim the obtention of interpretative graphics of human biometric signals. In order to validate this proposal a functional prototype was developed and it is presented in the development of this work.

To improve the rate of dynamic data automated acquisition of virtual reality webpage, we design a dynamic data automated acquisition system of virtual reality webpage. We connect the LPC2292 controller pin and webpage extender, extract the webpage data initially, construct the RS485 data bus structure, perform the data transmission, design the system data intelligent conditioner, convert the webpage text data into signal data in the bus, and design the Modbus protocol as the communication protocol of the above two kinds of data. And at last, the network delay algorithm is used to eliminate the data acquisition delay and realize automatic data acquisition. The experimental data shows that after the acquisition system is applied, the acquisition time is reduced by 14% per data volume and the data acquisition volume is increased by 19% data per unit time. It can be proved that the system can improve data acquisition speed.

Digital oil field is a terminology that frequently appeared in the last few years. In the era of industry 4.0 and the proliferation of digital technology, oil and gas companies need to adapt in order to gain advantage in business process development, and this term is the answer. In digital oil field, data is significantly valuable. Therefore, robust database and real time data monitoring need to be developed. Pertamina EP has established a robust, easy-to-access, and web-based database application called Operational Data Repository (ODR). This application handles end-to-end business process from exploration all the way to commercial. Several modules were integrated for this application and the main modules consist of exploration, exploitation, production, finance, safety and commercial. For every module in ODR, the first task to carry is to create and input master data. After database is created, calculation according to module's purpose is performed. Once the system is there, automatic data acquisition and monitoring will enter the picture. Exploration module in ODR handles database of Pertamina EP exploration activities. This module include lithology, biostratigraphy, and geochemical data of exploration project in Pertamina EP. This module ensures that initial data of a structure is preserved and available. Exploitation module deals with oil and gas reserves and resources reporting process, well proposal for annual work plan, and surface project monitoring. This module rules development phase from subsurface to surface. Production module shows daily operational activities, production data, and quadrant mapping of wells productivity. Data from this module is taken for evaluating production and operation performance. Finance module handles company's financial report, including revenue, expense, and tax. Safety module handles work permit, hazard identification, risk assessment and control for every project and work plan. Safety is a very important aspect in a company and this module ensures that documents needed to perform work safely is well-documented and easy to submit and access. Last but not least is commercial module. This module consists of gas sales agreement documents (GSA), metering system location, and customer complaints monitoring. ODR has already been well-established, therefore Pertamina EP started its pilot project for automatic data acquisition for eight wells and currently on monitoring phase. This paper describes Pertamina EP first step to digital oil field, which is developing virtual warehouse to store company's data. The step is strengthened with attempting for automatic data acquisition that will be integrated to the ODR for the next phase.

对装备测试数据的获取与格式转换技术进行了研究，采用分散采集、网络传输与集中管理的模式，构建了装备数据自动获取系统，提供装备测试数据获取和转换技术途径和手段，解决装备测试数据获取与转换难度大及重复转换的问题。Technology of automatic acquisition and conversion of the output data from equipment is presented here, which can realize automatic acquisition, format conversion, automatic uploading, centralized storage and network sharing service of the output data from equipment. Equipment test data acquisition and conversion technology ways and means are provided. Difficult and repeat conversion problems are solved.

Economic Valuation of Storage in a Power System: A Case of Pumped Storage with Solar PV

In grapevine research, phenotyping needs to be done for different traits such as abiotic and biotic stress. This phenotypic data acquisition is very time-consuming and subjective due to the limitation of manual visual estimation. Sensor-based approaches showed an improvement in objectivity and throughput in the past. For example, the ‘Phenoliner’ a phenotyping platform, based on a modified grape harvester, is equipped with two different sensor systems to acquire images in the field. It has so far been used in grapevine research for different research questions to test and apply different sensor systems. However, the driving speed for data acquisition has been limited to 0.5 - 1 km/h due to capacity of image acquisition frequency and storage. Therefore, a faster automatic data acquisition with high objectivity and precision is desirable to increase the phenotyping efficiency. To this aim, in the present study a prism-based simultaneous multispectral camera system was installed in the tunnel of the ‘Phenoliner’ with an artificial broadband light source for image acquisition. It consists of a visible color channel from 400 to 670 nm, a near infrared (NIR) channel from 700 to 800 nm, and a second NIR channel from 820 to 1,000 nm. Compared to the existing camera setup, image recording could be improved to at least 10 images per second and a driving speed of up to 6 km/h. Each image is geo-referenced using a real-time-kinematic (RTK)- GPS system. The setup of the sensor system was tested on seven varieties (Riesling, Pinot Noir, Chardonnay, Dornfelder, Dapako, Pinot Gris, and Phoenix) with and without symptoms of biotic stress in the vineyards of Geilweilerhof, Germany. Image analysis aims to segment images into four categories: trunk, cane, leaf, and fruit cluster to further detect the biotic stress status in these categories. Therefore, images have been annotated accordingly and first results will be shown.

For measurement value logging of board angle values during balance training, it is necessary to develop a measurement system. This study will provide data for a balance study using the smartcard. The data acquisition comes automatically. An individually training plan for each proband is necessary. To store the proband identification a smartcard with an I2C data bus protocol and an E2PROM memory system is used. For reading the smartcard data a smartcard reader is connected via universal serial bus (USB) to a notebook. The data acquisition and smartcard read programme is designed with Microsoft® Visual C#. A training plan file contains the individual training plan for each proband. The data of the test persons are saved in a proband directory. Each event is automatically saved as a log-file for the exact documentation. This system makes study development easy and time-saving.