Research of Machine Vision Based Recognition of Burning through Point of Sintering

2012 ◽  
Vol 442 ◽  
pp. 379-385
Author(s):  
Zhi Kun Chen ◽  
Ying Wang ◽  
Yu Tian Wang ◽  
Yi Li
Keyword(s):  
Image Segmentation ◽  
Calculation Method ◽  
Clustering Algorithm ◽  
Image Features ◽  
Machine Plant ◽  
Sintering Machine ◽  
Prediction And Control ◽  
And Control ◽  
Burning Through Point

The accurate prediction and control of burning through point are the keys of improving the quantity and quality of sinter. The position of burning through point can be determined by identifying the flame image features of the tail through the sinter. How to effectively segment the image of the flame is the key to identify the characteristics of the flame. By using the approach of the c-means clustering flame image segmentation based on particle-pair optimizer, the flame image of the sintering machine plant-tail section will be segmented in this paper. Frequently, the standard c-means clustering algorithm may easily immerse in partial minimum and slow converging speed. However, this new calculation method can overcome these shortcomings. Besides, the results of the experiment also show that this method has many other advantages, such as effectively removing the halo of the sintering machine plant-tail section, high segmenting speed and obvious segmenting effects. This approach will lay a good foundation for the extraction and identification of image features in the following stages.

scholarly journals Indirect preparative-analytical gas chromatographic technique for mass spectrometric identification of rum composition

1969 ◽  
Vol 75 (1) ◽  
pp. 51-59
Author(s):  
Heriberto Batiz
Keyword(s):  
Puerto Rican ◽  
Chromatographic Technique ◽  
Gas Chromatograph ◽  
Flame Ionization ◽  
Distilled Spirits ◽  
Low Concentrations ◽  
Mass Spectrometric Identification ◽  
Prediction And Control ◽  
And Control

A gas chromatograph-mass spectrometer (GC-MS) at the Rum Pilot Plant (RPP) is contributing significantly toward the production of high quality rum. This GC-MS permits better prediction and control of the quality of distilled spirits and fermented products. Since rum cannot be fully analyzed directly with GC-MS because many of its components are at extremely low concentrations, different techniques are being considered for preparing concentrates suitable for study by this instrument. The technique reported here uses an indirect approach, where the sample is concentrated in a preservative column and subsequently retained in a small trap. Finally the product is quantitatively transferred and sealed in a small vial for further analysis with the flame ionization decector (FID) or the CG-MS. This chromatographic technique was evaluated successfully. Data obtained resulted in about 1000-fold improvement in the concentration of components in their own matrix compared with that of the neat rum. The vast majority of components resolved with the new technique are at concentrations below 0.01 mg/100 ml and numerous compounds separated in the chromatogram have not previously been observed in Puerto Rican rums.

The Measurement of Concrete Temperature Distribution Based on VB

2014 ◽  
Vol 599-601 ◽  
pp. 1154-1157
Author(s):  
Xu Hui Yao
Keyword(s):  
Large Volume ◽  
Concrete Strength ◽  
Simulation Software ◽  
Control Measures ◽  
Mass Concrete ◽  
Various Boundary Conditions ◽  
Concrete Temperature ◽  
Prediction And Control ◽  
And Control

Based on the study of the rule and the optimization of the mass concrete temperature development, we developed a set of large volume concrete under various boundary conditions temperature prediction and control simulation software, to lay the foundation for the development of the law of large volume concrete strength, to achieve the optimization ratio of concrete and reasonable selection of the temperature control measures,to control the temperature change of concrete, to ensure the quality of concrete effect!

scholarly journals Community Detection Method Based on Two-layer Dissimilarity of Central Node

2019 ◽  
Author(s):  
Yuexia Zhang ◽  
Ziyang Chen
Keyword(s):  
Public Opinion ◽  
Community Detection ◽  
Clustering Algorithm ◽  
Detection Method ◽  
Dissimilarity Index ◽  
Community Discovery ◽  
Central Node ◽  
And Control ◽  
Discovery Algorithms

Studying community discovery algorithms for complex networks is necessary to determine the origin of opinions, analyze the mechanisms of public opinion transmission, and control the evolution of public opinion. The problem of the existing clustering algorithm of the central node having a low quality of community detection must also be solved. This study proposes a community detection method based on the two-layer dissimilarity of the central node (TDCN-CD). First, the algorithm selects the central node through the degree and distance of the node. Selecting nodes in the same community as the central node at the same time is avoided. Simultaneously, the algorithm proposes the dissimilarity index of nodes based on two layers, which can deeply explore the heterogeneity of nodes and achieve the effect of accurate community division. The results of using Karate and Dolphins datasets for simulation show that compared to the Girvan–Newman and Fast–Newman classical community partitioning algorithms, the TDCN-CD algorithm can effectively detect the community structure and more accurately divide the community.  

scholarly journals Assessment of the Segmentation of RGB Remote Sensing Images: A Subjective Approach

2020 ◽  
Vol 12 (24) ◽  
pp. 4152
Author(s):  
Giruta Kazakeviciute-Januskeviciene ◽  
Edgaras Janusonis ◽  
Romualdas Bausys ◽  
Tadas Limba ◽  
Mindaugas Kiskis
Keyword(s):  
Remote Sensing ◽  
Image Segmentation ◽  
Quality Assessment ◽  
Satellite Images ◽  
Clustering Algorithm ◽  
Satellite Image ◽  
Quality Metrics ◽  
Data Set ◽  
Segmentation Quality

The evaluation of remote sensing imagery segmentation results plays an important role in the further image analysis and decision-making. The search for the optimal segmentation method for a particular data set and the suitability of segmentation results for the use in satellite image classification are examples where the proper image segmentation quality assessment can affect the quality of the final result. There is no extensive research related to the assessment of the segmentation effectiveness of the images. The designed objective quality assessment metrics that can be used to assess the quality of the obtained segmentation results usually take into account the subjective features of the human visual system (HVS). A novel approach is used in the article to estimate the effectiveness of satellite image segmentation by relating and determining the correlation between subjective and objective segmentation quality metrics. Pearson’s and Spearman’s correlation was used for satellite images after applying a k-means++ clustering algorithm based on colour information. Simultaneously, the dataset of the satellite images with ground truth (GT) based on the “DeepGlobe Land Cover Classification Challenge” dataset was constructed for testing three classes of quality metrics for satellite image segmentation.

Resistance Monitor and Control for Vacuum Evaporation of Metals and Carbon

1976 ◽  
Vol 34 ◽  
pp. 572-573
Author(s):  
Russell L. Steere ◽  
Eric F. Erbe ◽  
J. Michael Moseley
Keyword(s):  
Electronic Device ◽  
Point Sources ◽  
High Contrast ◽  
Variable Resistor ◽  
Quality Of Results ◽  
Low Contrast ◽  
Evaporation Source ◽  
And Control ◽  
At Will

We have designed and built an electronic device which compares the resistance of a defined area of vacuum evaporated material with a variable resistor. When the two resistances are matched, the device automatically disconnects the primary side of the substrate transformer and stops further evaporation.This approach to controlled evaporation in conjunction with the modified guns and evaporation source permits reliably reproducible multiple Pt shadow films from a single Pt wrapped carbon point source. The reproducibility from consecutive C point sources is also reliable. Furthermore, the device we have developed permits us to select a predetermined resistance so that low contrast high-resolution shadows, heavy high contrast shadows, or any grade in between can be selected at will. The reproducibility and quality of results are demonstrated in Figures 1-4 which represent evaporations at various settings of the variable resistor.

An insight into Case Management and Challenges in Veteran Suicide Prevention

2020 ◽  
pp. 14-25
Author(s):  
Tamara Green
Keyword(s):  
Case Management ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Digital Transformation ◽  
Prevention Science ◽  
Historical Records ◽  
Military Members ◽  
Prediction And Control ◽  
And Control ◽  
Insight Into

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.

Boilerplate

2012 ◽  
Author(s):  
Margaret Jane Radin
Keyword(s):  
Economic Efficiency ◽  
Analytical Framework ◽  
Daily Basis ◽  
Regulatory Agencies ◽  
Jury Trial ◽  
Comprehensive Treatment ◽  
New Methods ◽  
And Control ◽  
Fine Print

Boilerplate—the fine-print terms and conditions that we become subject to when we click “I agree” online, rent an apartment, or enter an employment contract, for example—pervades all aspects of our modern lives. On a daily basis, most of us accept boilerplate provisions without realizing that should a dispute arise about a purchased good or service, the nonnegotiable boilerplate terms can deprive us of our right to jury trial and relieve providers of responsibility for harm. Boilerplate is the first comprehensive treatment of the problems posed by the increasing use of these terms, demonstrating how their use has degraded traditional notions of consent, agreement, and contract, and sacrificed core rights whose loss threatens the democratic order. This book examines attempts to justify the use of boilerplate provisions by claiming either that recipients freely consent to them or that economic efficiency demands them, and it finds these justifications wanting. It argues that our courts, legislatures, and regulatory agencies have fallen short in their evaluation and oversight of the use of boilerplate clauses. To improve legal evaluation of boilerplate, the book offers a new analytical framework, one that takes into account the nature of the rights affected, the quality of the recipient's consent, and the extent of the use of these terms. It goes on to offer possibilities for new methods of boilerplate evaluation and control, and concludes by discussing positive steps that NGOs, legislators, regulators, courts, and scholars could take to bring about better practices.

Management and engineering solutions to improve processing stock quality and reduce resource-intensity of mining

2018 ◽  
pp. 56-68
Author(s):  
V. V. Agafonov ◽  
V. Yu. Zalyadinov ◽  
M. E. Yusupov ◽  
N. S. Bikteeva
Keyword(s):  
Development Strategy ◽  
Open Pit ◽  
Mining Operations ◽  
High Concern ◽  
General Production ◽  
Resource Intensity ◽  
Product Output ◽  
And Control ◽  
A Company

Sustainability of mining companies is of of high concern. The problem is specifically acute at companies that are monotownor monosettlement-forming. Sustainability of a mine depends in many ways on product quality and production resource-intensity. This article discusses formation of mineral quality indexes in terms of an open pit chrysotile mine. The studies took into account specific features of operation procedures implemented by each structural division of the mine. The analysis has found managerial and technological inconsistencies which affect quality and marketable product output, as well as efficiency of the mine in whole. The background for efficiency enhancement at a company is, by the authors’ opinion, consolidation of personnel subject to the single development strategy, namely: improvement of production and control efficiency, as well as use of available reserves and resources by means of better setup for production. The proposed approaches to planning mining operations and forming mineral quality allow higher quality of processing stock. In addition, a new model proposed for interaction between structural divisions of a mining company ensures improvement of general production indexes.

EFFICIENT MANAGEMENT SYSTEM OF TEACHING TECHNICAL MEANS AT CENTRAL KINDERGARTEN PEDAGOGY COLLEGE IN INDUSTRIAL REVOLUTION 4.0

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Vũ Xuân Hùng
Keyword(s):  
Intellectual Development ◽  
Industrial Revolution ◽  
Current Period ◽  
Efficient Management ◽  
Urgent Task ◽  
Creative Learning ◽  
Cognitive Activities ◽  
And Control ◽  
Technical Teaching

In the process of teaching, technical teaching facilities are both a content and a means of conveying information, they help the lecturer organize and control the students' cognitive activities, in addition, they also help students be interested in learning, practice practical skills from which to form active and creative learning methods. Teaching technology is one of the necessary conditions to help teachers carry out their related work of educating, teaching and bringing up, and intellectual development, arouse the inherent intelligence qualities of students. Currently, the management of technical teaching facilities at the Central Kindergartens College has been carried out on a regular basis and achieved certain results, but in fact, there are still many inadequacies. Finding a number of limitations in the management of teaching technical facilities, thereby proposing solutions to overcome those limitations, improve the efficiency of investment, preservation and use of teaching technical facilities in the trend of Industry Revolution 4.0, improving the quality of teaching at Central Kindergarten Pedagogy colleges in the current period is a very important and urgent task.

The Implementation of Learning Materials Based on Local Wisdom of Agricultural in Binjai to Improve the Students Problem Solving Abilities

2019 ◽  
Author(s):  
Nur Tsalits Fahman Mughni
Keyword(s):  
Problem Solving ◽  
Control Group ◽  
School Grade ◽  
Teaching Materials ◽  
Quasi Experimental ◽  
Equivalent Control ◽  
The Subject ◽  
And Control ◽  
Experimental Group

Teaching materials by integrating local culture makes easier for students to understand the subject matter in the learning process. The aims of the study is to measure the effectiveness of teaching materials based on local wisdom of agriculture in Binjai in improving the students problem solving abilities. The research method was a quasi experimental which use non equivalent control group in the pretest posttest design. The sample of study were students of Senior High School grade X in Binjai that consisted of experiment group which used teaching materials based on local wisdom of agriculture in Binjai and control group that used student handbooks. Teaching materials are tested by material experts and technology experts to ensure the quality of teaching materials. Data collection was conducted through test. The results showed that the teaching materials based on local wisdom of agriculture in Binjai effective in improving students problem solving abilities in the experimental group students based on the results of N gain value was 0.67 which has medium criteria. It means teaching materials based on agricultural local wisdom of agriculture in Binjai can be used as one of the teaching materials in learning activities.

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