On-line Acquisition System Research Articles

Assessment of protein content and insect infestation of maize seeds based on on-line near-infrared spectroscopy and machine learning

Maize is one of the most important crops in the world. The protein content and insect infestation significantly influence seed vigor and growth. Therefore, it is vital to detect the protein content and insect infestation seeds rapidly and non-destructively. In this study, a near-infrared (NIR) spectra acquisition device (900–1700 nm) was designed and employed for on-line seed quality detection. Support vector machine (SVM), logistic regression (LR), and partial least square regression discrimination analysis (PLS-DA) were used for insect infestation seeds classification. PLS and least squares-support vector machine (LS-SVM) were adopted for protein detection. Competitive adaptive reweighted sampling (CARS) and successive projections algorithm (SPA) were applied to select the feature wavelengths to reduce the redundant data and identify important information. As for insect infestation seeds, CARS-SPA-LR model achieved the classification using only 7 features with an accuracy of 0.83. In terms of protein prediction, the LS-SVM models obtained the best results for grain protein content (GPC, %) and absolute GPC (Ab_GPC, mg/kernel), respectively. The optimal models only used 22 and 21 feature wavelengths selected by CARS-SPA, with the RMSEP of 3.38 % and 2.38 mg/kernel, and RPD was 2.08 and 2.11, respectively. The results indicated that the NIR on-line acquisition system could be applied for qualitative and quantitative analysis of maize seeds.

Development of Sapphire Optical Temperature Sensing System Used in Harsh Environment Sensing

A sapphire optical fiber blackbody radiation sensor based on the high temperature multilayer structure of wolfram and aluminum oxide has been developed. Through the analysis of Planck’s law, the linear relationship between the temperature and the square root of the voltage is theoretically deduced. Radio frequency magnetron sputtering method is used to sputter and deposit high-temperature wolfram metal film and aluminum oxide film on sapphire fiber. In order to meet the needs of real-time temperature measurement, an online acquisition system of optical signals is designed to complete the demodulation and storage of signals. The high-temperature experiment results show that the temperature response sensitivity is 0.00113V1/2/℃ between 300℃ and 1750℃, and it can work stably for more than 10 hours. The sensor is calibrated in the metrology institute where a maximum quoted error of 0.84% within a range between 900 ℃ and 1600℃ is proved. Compared with the traditional high temperature measurement method, the sensor has the advantages of compact structure, anti-electromagnetic interference, large measuring range, and good linearity, which can be widely used in the sensing and measurement of extreme high temperature environments such as aero-engine tail injection temperature monitoring, combustion chamber temperature monitoring of aero-engine simulation test benches.

J. K. Rowling, la Covid-19 y el mundo de la edición

The coronavirus epidemic (Covid-19) unleashed worldwide has had repercussions in all social sectors, and the world of culture in general and of publishing in particular have not been an exception. The need to adopt confinement measures has determined the closure of all public spaces related to reading, such as libraries, bookstores and cultural centers, with serious consequences for the sector that has seen its activity to stop. Faced with this situation, there have been numerous actors involved, such as authors, publishers, bookstores, but also individuals, who have developed a set of initiatives to try to alleviate these effects, both for the editorial segment and for the population. On the one hand, the online acquisition systems, advance purchases, flexible deliveries, etc., have been strengthened. And on the other, from the publishing sector, authors, publishers and booksellers have proposed the release of titles for free online reading, or the development of personalized recommendation systems for readers, among many other initiatives. The consequence of all this has been an important growth in the consumption of digital content, verifiable above all in the increase in loans in systems such E-biblio in Spain, and similar platforms in other countries. These movements, although they are of a conjunctural nature, have revealed the possibility of other forms of consumption and distribution of content, little frequented by a large part of the population that, out of necessity, has tried other reading formulas that always look good as an alternative to traditional ones, either as a complement or as another mode of appropriation and consumption that may be the prevailing one in the future.

Microbial Fuel Cell a Reliable Source for Recovery of Electrical Power from Synthetic Wastewater

Microbial fuel cells (MFCs) were successfully used as a biological process to remove organic load from synthetic wastewater. Electricity was produced via oxidation of biodegradable organic matter in the presence of active biocatalyst. The system was able to generate clean energy at high efficiency. Wastewater contained organic compound used as substrate in the anaerobic chamber of MFC. The chemical energy generated sufficient electrons which were passed through a resistance to identify current density and liberate electric power as energy source. Acetone as biodegradable substrate with concentration of 3g.l-1 was introduced as carbon source in the anode chamber of the MFC. The mixed culture of living microorganisms originated from a biological treatment unit used for anaerobic degradation of organic substrate. The inoculums were supplied by an up flow anaerobic hybrid reactor, a pilot scale bioreactor used for treating pulp and paper wastewater. In this course of treatment, once chemical oxygen demand was removed the current and power was generated while data were recorded via online acquisition system. Also polarization curve was obtained for each set of experiment. In cathode compartment several concentration of ferocynide and potassium permanganate were added to obtain the optimal concentration of oxidizing agents in the cathode chamber. At concentration of 300 μM potassium permanganate, the maximum power and current generated were 22 mW.m-2 and 70 mA.m-2, respectively.

Comprehensive Use of Curvature for Robust and Accurate Online Surface Reconstruction.

Interactive real-time scene acquisition from hand-held depth cameras has recently developed much momentum, enabling applications in ad-hoc object acquisition, augmented reality and other fields. A key challenge to online reconstruction remains error accumulation in the reconstructed camera trajectory, due to drift-inducing instabilities in the range scan alignments of the underlying iterative-closest-point (ICP) algorithm. Various strategies have been proposed to mitigate that drift, including SIFT-based pre-alignment, color-based weighting of ICP pairs, stronger weighting of edge features, and so on. In our work, we focus on surface curvature as a feature that is detectable on range scans alone and hence does not depend on accurate multi-sensor alignment. In contrast to previous work that took curvature into consideration, however, we treat curvature as an independent quantity that we consistently incorporate into every stage of the real-time reconstruction pipeline, including densely curvature-weighted ICP, range image fusion, local surface reconstruction, and rendering. Using multiple benchmark sequences, and in direct comparison to other state-of-the-art online acquisition systems, we show that our approach significantly reduces drift, both when analyzing individual pipeline stages in isolation, as well as seen across the online reconstruction pipeline as a whole.

Time domain analysis of partial discharges envelope in medium voltage XLPE cables

Partial discharge (PD) analysis has been widely used to detect premature degradation of power cables. Although there are recognized techniques for PD analysis, there is still lack of knowledge about measuring and modeling this phenomenon.This paper proposes a new model based on time domain parameters of the PD signal envelope. The proposed variables (time duration, and rising and falling slopes of the envelopes), together with conventional PD analyses focused on PD amplitude and phase resolved patterns, will provide a better understanding of this phenomenon. Based on this model, a new technique to reshape the PD signal envelope is also proposed that compensates the negative effect of dispersion in the location techniques that estimate the time of arrival (TOA).Experimental results were obtained in the lab, where a power cable has been artificially damaged in order to produce PD. To this end, a specific PD on-line acquisition system has been developed. In the first set of experiments, we illustrate how the cable attenuates and disperses the PD signal envelope. In the second one, we show how the proposed variables are useful to distinguish among different types of PD sources. Finally, an accurate estimation of the PD source location is achieved by measuring the time of arrival of the PD signal envelopes at both cable ends, and reshaping one of the signals captured. This technique improves the accuracy of the estimated location of the PD sources, both in simulation and in experimental results.

On-Line Oil Condition Monitoring System

An on-line monitoring system was proposed to monitor lubrication oil real-time condition. Oil is the machine equipment blood, and its condition has very serious influence on machine running. Firstly, this paper expiated the research significance of on-line oil monitoring. Then the key problem of on-line oil monitoring was discussed and its goal was analyzed. Furthermore, basic research content and research thread were put forward. Based on the modern photoelectric detection, microscopic imaging and computer image processing technology, an on-line acquisition system of lubricating oil particle image was proposed. This work provides a new research idea for on-line monitoring system which is important to develop the technology of oil condition monitoring.

Design and Implementation of Online Monitoring and Remote Diagnostic System for CNC Machine Tools

With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.

Orthogonal least square center selection technique – A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural Network

Partial Discharge (PD) pattern recognition has emerged as a subject of vital interest for the diagnosis of complex insulation system of power equipment to personnel handling power system utilities and researchers alike, since the phenomenon serves inherently as an excellent non-intrusive testing technique. Recently, the focus of researchers has shifted to the recognition of defects in insulation due to multiple PD sources, as it is often encountered during real-time PD measurements. A survey of research literature indicates clearly that the recognition of fully overlapped PD patterns is yet an unresolved issue and that techniques such as Mixed Weibull Function, Neural Network (NN), Wavelet Transformation, etc. have been attempted with only reasonable success. Since most digital PD online acquisition systems record data for a stipulated and considerable duration as mandated by international standards, the database is large. This poses substantial complexity in classification during the training phase of the NNs. These difficulties may be attributed to ill-conditioned data, non-Markovian nature of discharges, curse of dimensionality of the data, etc. Since training methods based on random selection of centers from a large training set of fixed size are found to be relatively insensitive and detrimental to classification in many cases, a Forward Orthogonal Least Square algorithm (FOLS) is utilized in order to reduce the number of hidden layer neurons and obtain a parsimonious yet optimal set of centers. This algorithm, in addition, obviates the need for a separate clustering method making the procedure inherently viable for on-line PD recognition. This research work proposes a novel approach of utilizing Radial Basis Probabilistic Neural Network (RBPNN) with FOLS center selection algorithm for classification of multiple PD sources. Exhaustive analysis is carried out to ascertain the efficacy of classification of the proposed RBPNN-FOLS algorithm to cater to large training data set. A detailed comparison of the performance of the proposed scheme with that of the standard version of Probabilistic Neural Network (PNN) and Heteroscedastic PNN (HRPNN) that was taken up for study by the authors in their previous work indicates firstly the effectiveness of FOLS algorithm in obtaining parsimonious centers, points out secondly the capability of the Radial Basis Probabilistic Neural Network (RBPNN) model to integrate the advantages of the Radial Basis Function Neural Network (RBFNN) and PNN in classifying multiple PD sources and finally throws light on the exceptional capability of the FOLS-RBPNN in discriminating the sources of PD due to varying applied voltages also.

Migrating Between Online Acquisitions Systems

Organizing staff and information is extremely important when migrating from one online acquisitions system to another. Decisions have to be made about choosing and organizing the information to be transferred from the old system to the new one. Just as important as the organization of information is the organization of staff resources and time. Administrative williigness to depend on people who have knowledge and skill, at whatever level, is essential to going through this process smoothly. Effective system-to-system migration depends upon using the specialized knowledge and organizational skills of all acquisitions staff. When the people who share their knowledge and develop the necessary procedures are also the people who must perform the migration and use the newly-created records, great efficiency and accuracy can be achieved. The process may not be pain-free, but it will be relatively smooth since all participants have an investment in the structure and cleanness of the new system.

Automated Acquisitions in an Integrated Online System

The Ramsey County Public Library (Roseville, MN) used the OCLC online acquisitions system for six years. While it worked well and was much more efficient than a manual system, it did not provide a way to deliver order information to public services staff and patrons. In 1986 they installed a DYNIX integrated system and 1987 the DYNIX acquisitions module. All order and in information now appears the PACs. The features of the DYNIX system are described and the ordering process used by Ramsey County is detailed. The use of the integrated acquisitions system allowed the reorganization of the department, job enrichment opportunities for Library Assistants, and the reassignment of some hours to public services.

Database structure and system design of an online acquisition system

This paper outlines an online acquisition system and describes in brief the various factors involved in the automated environment. The acquisition system database is based on a network model and is structured to handle the complex nature of bibliographic data efficiently and economically to achieve an integrated library system. The comprehensibility of the system has been reflected in the database design stage itself. System design and development factors concerning hierarchical menu-driven operation, as well as considerations of portability with respect to hardware/system software requirements are highlighted.

The Evolution of an Online Acquisitions System

About two years ago a home-grown online acquisitions system was developed and implemented at Pacific University. The program, written in BASIC for the Data General Nova Computer, perform sall the necessary functions such as ordering ,receiving, fund accounting, etc. Thisprogram was offered to the library community ,and about one hundred libraries from around the world have availed themselves of it.

ØLAS: One library's experience

After having had an off-line acquisitions system since 1969, the University of Louisville Libraries went on-line in 1980 with Brodart's ØLAS, or On-Line Acquisitions System. The switch was necessitated by an overloaded Computer Center at the University as well as by the fact that undocumented internal changes in the off-line system had rendered it non-standard. Both positive and negative aspects of the ØLAS system are discussed.