Multi-output soft sensor with a multivariate filter that predicts errors applied to an industrial reactive distillation process

The paper deals with the problem of developing a multi-output soft sensor for the industrial reactive distillation process of methyl tert-butyl ether production. Unlike the existing soft sensor approaches, this paper proposes using a soft sensor with filters to predict model errors, which are then taken into account as corrections in the final predictions of outputs. The decomposition of the problem of optimal estimation of time delays is proposed for each input of the soft sensor. Using the proposed approach to predict the concentrations of methyl sec-butyl ether, methanol, and the sum of dimers and trimers of isobutylene in the output product in a reactive distillation column was shown to improve the results by 32%, 67%, and 9.5%, respectively

The ID R&D VoxCeleb Speaker Recognition Challenge 2023 System Description

This report describes ID R&D team submissions for Track 2 (open) to the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our solution is based on the fusion of deep ResNets and self-supervised learning (SSL) based models trained on a mixture of a VoxCeleb2 dataset and a large version of a VoxTube dataset. The final submission to the Track 2 achieved the first place on the VoxSRC-23 public leaderboard with a minDCF(0.05) of 0.0762 and EER of 1.30%

A Case Study on Usage of Electrical Resistivity Tomography for Dam Seepage Location, Chesterfield, Missouri

Four Electrical Resistivity Tomography (ERT) profiles and borehole data were acquired on the front face of the earth-filled dam and on the flanks, constituting Lake #1, in order to locate the seepage zone, the flow path, and to determine possible reasons of the seepage. The seepage, observed a year after the construction in the southwestern part of the lake, was severe and could cause further softening, slippage and erosion of soil, developing of pipe holes, increasing the water outflow and risk to the embankment integrity. The owner agreed to drain the lake in order to acquire geophysical and borehole data. Based on the analyses of the acquired ERT and borehole data, four solution-widened fracture zones trending from southwest to northeast were identified. It was concluded that the seepage pathway beneath the dam was through a solution-widened fracture zone, the top of which constituted the original stream channel.Four Electrical Resistivity Tomography (ERT) profiles and borehole data were acquired on the front face of the earth-filled dam and on the flanks, constituting Lake #1, in order to locate the seepage zone, the flow path, and to determine possible reasons of the seepage. The seepage, observed a year after the construction in the southwestern part of the lake, was severe and could cause further softening, slippage and erosion of soil, developing of pipe holes, increasing the water outflow and risk to the embankment integrity. The owner agreed to drain the lake in order to acquire geophysical and borehole data. Based on the analyses of the acquired ERT and borehole data, four solution-widened fracture zones trending from southwest to northeast were identified. It was concluded that the seepage pathway beneath the dam was through a solution-widened fracture zone, the top of which constituted the original stream channel

Role of Stress-Induced Pathology in the Premature Aging of Combat Veterans

Феномен преждевременного старения ветеранов современных боевых действий связывается с полученными боевыми стрессами (БС), посттравматическим стрессовым расстройством (ПТСР), последствиями боевых черепно-мозговых травм и некоторыми другими факторами. Важную роль в этом процессе играют хроническая боль (ХБ) и стресс-индуцированная патология. В работе показана последовательная роль стресс-индуцированной патологии у ветеранов боевых действий в формировании ХБ и преждевременного старения.The phenomenon of premature aging of veterans of modern combat operations is associated with combat stress (СS), post-traumatic stress disorder (PTSD), the consequences of combat traumatic brain injuries and some other factors. Chronic pain (CР) and a number of stress-induced pathologies play an important role in this process. We have shown the consistent role of stress-induced pathology in combat veterans in the formation of CР and premature aging

Imaging the subsurface in karst terrain using electrical resistivity tomography

Five electrical resistivity tomography (resistivity) case studies are presented. The first case study, entitled Springfield Underground , includes ERT data acquired with the purpose of imaging the ceiling of an limestone aggregate mine following simultaneous localized roof failure. The interpretation of the ERT data indicates roof rock failure occurred at the intersection of two previously unmapped near-vertical solution-widened fractures. At the Chesterfield Dam site, resistivity data were acquired to identify the zone of seepage through an earthfill dam. The seepage pathway beneath the dam is interpreted as through a solution-widened fracture, the top of which constituted a segment of the original stream channel. The Gasconade River case study includes resistivity data acquired beneath two bridges in order to map the areal extent of an underground waterfilled opening encountered in routine investigative borings. Two principle east-northeast trending fracture zones were identified on the ERT data and the areal extent of the waterfilled void was mapped based on the acquired resistivity data. The Jefferson City case study includes resistivity data acquired to map variable depth to the top of bedrock. It is concluded that the southeastern part of the study site overlies an upper erosional terrace, whereas the northwestern part overlies the erosional stream channel. A conceptual model of the formation the upper terrace is proposed. In the fifth case study, Lane Springs , resistivity data were acquired immediately adjacent to Lane Spring with the purpose of mapping the aquifer and variable depth to top of rock. The conducted research demonstrated the ERT method was an effective tool for imaging the subsurface in the karst terrain --Abstract, page iii

Data quality assessment for system identification in the age of big data and Industry 4.0

As the amount of data stored from industrial processes increases with the demands of Industry 4.0, there is an increasing interest in finding uses for the stored data. However, before the data can be used its quality must be determined and appropriate regions extracted. Initially, such testing was done manually using graphs or basic rules, such as the value of a variable. With large data sets, such an approach will not work, since the amount of data to tested and the number of potential rules is too large. Therefore, there is a need for automated segmentation of the data set into different components. Such an approach has recently been proposed and tested using various types of industrial data. Although the industrial results are promising, there still remain many unanswered questions including how to handle a priori knowledge, over- or undersegmentation of the data set, and setting the appropriate thresholds for a given application. Solving these problems will provide a robust and reliable method for determining the data quality of a given data set