A Hybrid-driven Soft Sensor with Complex Process Data Based on DAE and Mechanism-introduced GRU

2021 ◽  
Author(s):  
Runyuan Guo ◽  
Han Liu ◽  
Wenqing Wang ◽  
Guo Xie ◽  
Youmin Zhang
Keyword(s):  
Soft Sensor ◽  
Process Data ◽  
Complex Process

Practical Aspects of Forming Ultra-Shallow Junctions by Sub-keV Boron Implants

1999 ◽  
Vol 568 ◽  
Author(s):  
M. A. Foad ◽  
A. J. Murrell ◽  
E. J. H. Collart ◽  
G. de Cock ◽  
D. Jennings ◽  
...  
Keyword(s):  
Process Integration ◽  
Practical Aspect ◽  
High Concentration ◽  
Process Data ◽  
Complex Process ◽  
Boron Implantation ◽  
Rapid Temperature ◽  
Ultra Shallow Junctions ◽  
Interface Structures ◽  
Ion Species

ABSTRACTAs the drive towards the production of 100 nm CMOS devices pick up speed, the practical aspect of transistor shallow junction formation, including a large menu of process integration issues, must now be solved in a short order. The most direct path to 50 nm junction depths is through the sub-keV boron implantation and rapid thermal annealing.The material aspects of the process integration centers on: (1) CMOS devices for shallow, highly-activated and abrupt junctions (involving the choice of ion species [B, BF, B10H14, BSi2, etc.], substrate materials [ Cz, Epi, SOI], anneal conditions [ramp rate, soak time, ambient gas], etc.) and (2) Defect-dopant interactions during annealing (including surface reactions of high concentration species [B, F], diffusion and carrier trapping by background and co-implanted species [C, 0, F, etc.].Process data for atomic and electrical activity profiles as well as defect and interface structures will be presented to illustrate progress towards understanding these complex process interactions. A particular focus will be the effects of anneal ambient and rapid temperature rise times approaching the “pike” anneal ideal.

scholarly journals THEORETICAL ASPECTS OF DIGITAL CREATION TOPOGRAPHIC PLAN

2021 ◽  
Vol 3 (163) ◽  
pp. 30-34
Author(s):  
O. Afanasyev ◽  
I. Zavada
Keyword(s):  
Coordinate System ◽  
Computer Software ◽  
Field Work ◽  
Process Data ◽  
Digital Maps ◽  
Complex Process ◽  
Software Product ◽  
Materials Used ◽  
Digital Plan ◽  
The City

Theoretical bases of creation of the digital topographic plan of district are considered, the analysis of the materials used for creation of the digital topographic plan of district is carried out. Types and features of application of topographic plans are analyzed. The most suitable geo-basis for creating a digital plan has been identified. Studies have shown that a 1: 500 scale geo-base is quite informative and most optimal for creating digital and conventional topographic plans in the city. Without additional removal, 1: 500 scale plans allow for the transition to smaller scale plans. According to current national regulations, a single coordinate and altitude system should be used to create topographic plans. Today, the only state coordinate system USK-2000 is used, which replaced the coordinate system SK-42, which is based on the Krasovsky ellipsoid and the Gauss-Krueger projection. Possibilities of development of electronic topographic plans with use of modern software complexes are investigated. Computer software allows you to process data as accurately as possible and perform tasks quickly. Among the main software packages used to create an electronic topographic plan of the area are AutoCAD, Digitals, Geonics, COMPASS, MapInfo Pro, Topocad. The choice of software product depends on the breadth of the task, the modernity of surveying instruments and their own software. An analysis of the software used in the creation of digital maps and topographic plans, which showed that the choice of a particular product depends on the breadth of the task, the modernity of surveying instruments and their own software. AutoCAD software is universal and fully adapted to modern geodetic problems. The use of AutoCAD software will ensure the final processing of data obtained during field work and the completion of the digital topographic plan of the area. The procedure for creating a digital topographic plan of the area using Digitals and AutoCAD software is considered. Creating a digital topographic plan of the area is a complex process consisting of several stages, which are described in the article.

Soft Sensor Design for Biodiesel Concentration in a Transesterification Reactor

2008 ◽  
Author(s):  
Jaime Garci´a ◽  
Jose´ Posada ◽  
Pedro Villalba ◽  
Marco Sanjuan
Keyword(s):  
Neural Networks ◽  
Process Model ◽  
Continuous Production ◽  
Continuous Process ◽  
Back Propagation ◽  
Alcohol Concentration ◽  
Soft Sensor ◽  
Optimum Number ◽  
Neural Net ◽  
Process Data

Biofuels production is facing new challenges every day, related to better process control and quality monitoring. It is very important for the sustainability of these processes to implement strategies and alternatives in order to achieve a continuous production process and to control significant variables involved in the reaction. One of the most difficult variables to measure is the actual Biodiesel concentration inside the reactor. Neural networks have become a useful strategy to give solutions to complex problems; its application is growing faster at industries due to the inherent nonlinear behavior of the processes, modeled easily by this computational tool. The capacity of mapping a complex behavior trough input and output process data, without a complicated and hardly to obtain mathematical model, makes neural networks an attractive strategy to be implemented in most industries, in a soft sensor or a process model scheme. This investigation addresses the need to predict the concentrations of esters (biodiesel) when different triglycerides are reacting with alcohol. Concentration was estimated using an approach that uses a soft sensor that captures the dynamics of these variables through off line laboratory experiments. The soft sensor is actually a Random Activation Weight Neural Net (RAWN), which is a back propagation neural network with a fast training algorithm that does not need any iteration. Also, to reduce the complexity of the soft sensor an optimization procedure was carried out to determine the optimum number of neurons in the hidden layer. In this research Biodiesel was produced by transesterification of palm oil with ethanol and KOH as catalyst. During transesterification reaction the estimation of concentrations is determined by laboratory analysis at off line stages, these variables are very important to control the continuous process of a biodiesel plant.

Virtual Process Data Linkage of Assembly Stations in High Variance Workshop Production

2017 ◽  
Vol 871 ◽  
pp. 60-68
Author(s):  
Christian Sand ◽  
Dominik Manke ◽  
Jörg Franke
Keyword(s):  
Data Base ◽  
Value Chain ◽  
Data Linkage ◽  
Production Systems ◽  
Process Data ◽  
Local Data ◽  
Serial Production ◽  
Complex Process ◽  
Special Software ◽  
Virtual Process

The advance of digitalization changes the requirements of processes in industrial production and assembly. For this reason, production and assembly must now be able to execute complex process steps. This is about quality and productivity expectations, as well as flexibility and reliability of production, lines and plants [1]. Today, data is generated by almost every system, machine and sensor, yet it is hardly used for process optimization. Manufacturing processes are usually organized as workshop production or chained production systems, in addition to standalone machines [2,3]. Most analytic projects focus on chained systems and serial production, unlike individual machines and specific workshop production. Depending on manufacturing IT, process data from serial production is stored in data bases, which are usually optimized for traceability. Standalone machines and machines within workshop production are scarcely connected to a common data base. The required process data is stored either on the module itself or inside a local data base [4]. The identification of dependencies between individual assembly processes, energy data and the quality of the finished product is necessary for an extended optimization. These optimizations can be process-specific, as well as environmental and resource related. Due to decentralized process data storages, an overall view of a dynamic order-oriented value chain is denied. Therefore, the potential of the machines is largely unused. Based on Data Mining, this advanced development can be counteracted by process monitoring and optimization. Therefore, this paper provides a solution for a virtual process data linkage of assembly stations. This enables the acquisition, processing, transformation and storage of unstructured raw data by special software and methods, which is also able to cope with chained production systems and standalone machines. For further analysis of interdependencies, a visualization is developed for advanced monitoring and optimization [5,6].

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