KEY POINTS OF HIGH EFFICIENT AUTOMATIC WELDING TECHNIQUE FOR LARGE SCALE SPHERICAL STEEL TANK

2003 ◽  
Vol 39 (08) ◽  
pp. 146 ◽  
Author(s):  
Lipei Jiang
Keyword(s):  
Large Scale ◽  
Automatic Welding ◽  
Key Points ◽  
High Efficient ◽  
Steel Tank ◽  
Welding Technique

scholarly journals Growth of Carbon Nanocoils by Porous α-Fe2O3/SnO2 Catalyst and Its Buckypaper for High Efficient Adsorption

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Yongpeng Zhao ◽  
Jianzhen Wang ◽  
Hui Huang ◽  
Tianze Cong ◽  
Shuaitao Yang ◽  
...  
Keyword(s):  
High Purity ◽  
Large Scale ◽  
Blue Dye ◽  
Adsorption Efficiency ◽  
Promising Alternative ◽  
Practical Applications ◽  
Key Points ◽  
High Efficient ◽  
Reported Data ◽  
Efficient Adsorbent

AbstractHigh-purity (99%) carbon nanocoils (CNCs) have been synthesized by using porous α-Fe2O3/SnO2 catalyst. The yield of CNCs reaches 9,098% after a 6 h growth. This value is much higher than the previously reported data, indicating that this method is promising to synthesize high-purity CNCs on a large scale. It is considered that an appropriate proportion of Fe and Sn, proper particle size distribution, and a loose-porous aggregate structure of the catalyst are the key points to the high-purity growth of CNCs. Benefiting from the high-purity preparation, a CNC Buckypaper was successfully prepared and the electrical, mechanical, and electrochemical properties were investigated comprehensively. Furthermore, as one of the practical applications, the CNC Buckypaper was successfully utilized as an efficient adsorbent for the removal of methylene blue dye from wastewater with an adsorption efficiency of 90.9%. This study provides a facile and economical route for preparing high-purity CNCs, which is suitable for large-quantity production. Furthermore, the fabrication of macroscopic CNC Buckypaper provides promising alternative of adsorbent or other practical applications.

Non-Blind Image Deconvolution Based on “Ringing” Removal Using Convolutional Neural Network

2020 ◽  
Vol 2020 (10) ◽  
pp. 181-1-181-7
Author(s):  
Takahiro Kudo ◽  
Takanori Fujisawa ◽  
Takuro Yamaguchi ◽  
Masaaki Ikehara
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Network Architecture ◽  
Large Scale ◽  
Blind Deconvolution ◽  
Training Dataset ◽  
Image Deconvolution ◽  
Classic Problem ◽  
Key Points ◽  
Blind Image

Image deconvolution has been an important issue recently. It has two kinds of approaches: non-blind and blind. Non-blind deconvolution is a classic problem of image deblurring, which assumes that the PSF is known and does not change universally in space. Recently, Convolutional Neural Network (CNN) has been used for non-blind deconvolution. Though CNNs can deal with complex changes for unknown images, some CNN-based conventional methods can only handle small PSFs and does not consider the use of large PSFs in the real world. In this paper we propose a non-blind deconvolution framework based on a CNN that can remove large scale ringing in a deblurred image. Our method has three key points. The first is that our network architecture is able to preserve both large and small features in the image. The second is that the training dataset is created to preserve the details. The third is that we extend the images to minimize the effects of large ringing on the image borders. In our experiments, we used three kinds of large PSFs and were able to observe high-precision results from our method both quantitatively and qualitatively.

Automatic Welding Technique with the Skilled Welding Operators Technique

2019 ◽  
Vol 88 (7) ◽  
pp. 527-531 ◽  
Author(s):  
Yasutaka BANNO ◽  
Kazuhiko KAMO ◽  
Naoki SUDA ◽  
Kenta NAKAO ◽  
Koki TATEISHI
Keyword(s):  
Automatic Welding ◽  
Welding Technique

scholarly journals Analysis of Site Selection and Design Example of Spoil Ground

2021 ◽  
Vol 631 (1) ◽  
pp. 012005
Author(s):  
Liheng Zhang ◽  
Yi He ◽  
Jie Chen
Keyword(s):  
Site Selection ◽  
Large Scale ◽  
Drainage System ◽  
Not Given ◽  
Detailed Design ◽  
Engineering Construction ◽  
Key Points ◽  
Selection Principles ◽  
Secondary Disasters ◽  
Negative Impacts

Abstract As an auxiliary project of engineering construction, spoil ground is often not given enough attention. Unreasonable spoiled materials not only have negative impacts on the local natural environment, but also generate the risk of secondary disasters. The selection and design of spoil ground is an important part of earthwork. And thus it is necessary to select the site of spoil ground reasonably and carefully and carry out detailed design of spoil, protection and flood drainage. First of all, the basic selection principles of spoil ground were discussed in this paper. Then, combined with the spoil ground design of the Heat and Power Cogeneration Power Workshop Project in Zhenfeng County's Coal, Electricity and Metallurgical Integration Industrial Park, the author presented elaboration of the technical key points of site selection, slope stability, blocking engineering and flood drainage system of large-scale spoil ground. The analysis in this paper can be used as a reference for similar spoil ground design.

scholarly journals Digital Image Tamperin Gdetection using sift Key-Point

2020 ◽  
Vol 9 (3) ◽  
pp. 1484-1489
Keyword(s):  
Digital Image ◽  
Large Scale ◽  
Digital Image Forensics ◽  
Point Matching ◽  
Suggested Approach ◽  
Research Areas ◽  
Key Points ◽  
Color Data ◽  
Adequate Quantity ◽  
Identification Techniques

Copy-move imitation is a widespread and generally utilized operation to corrupt digital image. It is considered as the most effective research areas in the domain of blind digital image forensics area. Keypoint based totally identification techniques have been regarded to be very environment-friendly in exposing copy-move proof because of their steadiness against a number of attacks, as like large-scale geometric movements. Conversely, these techniques don’t have the capabilities to cope with the instances if copy-move forgeries only engage in minor or clean areas, the place the quantity of keypoints is more restricted. To affirm the originality of image, detection of digital image tempering is required. To manage this difficulty, a quick and efficient copy-move imitation detection process is promoted by using the skill of hierarchical function point matching. It is viable to produce an adequate quantity of key points that are present in small or easy areas with the aid of reducing the brightness threshold and resizing the enter digital image. After that, construct a novel hierarchical equivalent technique to remedy the key point equivalent issues over a huge quantity of the key points. To decrease the false alarm charge and exactly localize the affected areas, we similarly advise an innovative iterative localization approach by way of using the steady elements (which comprises of the overriding orientation and the scale data) and the color data of all key point. The proposed technique validates the highest quality overall functioning of the suggested approach in terms of efficiency and precision.

scholarly journals Review of the Studies in the Use of Biofeedback Therapy in Rehabilitation and Physiatrics of Neurological Patients

Doctor Ru ◽  
2021 ◽  
Vol 20 (9) ◽  
pp. 43-47
Author(s):  
E.Yu. Mozheyko ◽  
◽  
O.V. Petryaeva ◽  
◽  
◽  
...  
Keyword(s):  
Large Scale ◽  
Small Sample Size ◽  
Small Sample ◽  
Healthy Population ◽  
Biofeedback Therapy ◽  
Level Of Evidence ◽  
Double Blind ◽  
Key Points ◽  
Neurological Patients ◽  
Drug Free

Objective of the Review: To collect information, analyse and evaluate previous studies in the use of biofeedback in neurological patients. Key Points. Despite the wide practical application and a lot of available publications, the level of evidence of this method is low because of a small sample size and the challenges with biofeedback mechanism description. A review of various types of biocontrol, its mechanisms and developments shows that drug-free therapy using only patient’s resources (organic, psychological, emotional and volitional) can activate the mechanisms of neuroplasticity, which are poorly studied. Still, it does not prevent from using biocontrol for the therapy of patients and/or prevention of various diseases in healthy population. Conclusion. Biofeedback therapy has proven to be a safe, relatively efficient and easy-to-use method. However, organisation of a large-scale double blind randomized trial is one of the predominant directions in the future. Keywords: biofeedback, biocontrol, neurofeedback, biofeedback therapy.

scholarly journals Drone Journalism as Visual Aggregation: Toward a Critical History

2020 ◽  
Vol 8 (3) ◽  
pp. 64-74
Author(s):  
James F. Hamilton
Keyword(s):  
Visual Culture ◽  
Large Scale ◽  
Critical History ◽  
Key Points ◽  
Wide Range ◽  
News Organizations ◽  
Aerial View ◽  
Data Journalism ◽  
Journalistic Practice ◽  
Statistical Summary

The use of unmanned aerial vehicles (UAVs—commonly referred to as drones) in journalism has emerged only recently, and has grown significantly. This article explores what makes drone imagery as an instance of what scholars of visual culture call an aerial view so compelling for major news organizations as to warrant such attention and investment. To do this, the concept ‘visual aggregation’ is introduced to theorize the authority of drone imagery in conventional journalistic practice. Imagery produced through drone journalism is a visual analogy to statistical summary and, more recently, of what is referred to as data journalism. Just as these combine an aggregate of cases to produce an understanding of an overall trend, drone imagery aggregates space visually, its broad visual field revealing large-scale spatial patterns in ways analogous to the statistical capture/analysis of large bodies of data. The article then employs a cultural and historical approach to identify key points in the emergence of visual aggregation as authoritative truth. The aerial view as a claim to truth is manifest in a wide range of antecedent social formations, devices and practices prior to their amalgamation in what has today become drone journalism. This analysis aids understanding of how drone journalism is a response to the institutional crises of journalism today.

Growth Rate Model and Temperature-Changing Fermentation Process of Pseudomonas Syringae Pv. Mori M4-13

2011 ◽  
Vol 282-283 ◽  
pp. 531-534
Author(s):  
Yao Liang ◽  
Jie Cheng ◽  
Rong Bin Lv ◽  
Sheng Jie Zhang ◽  
Fei Pan ◽  
...  
Keyword(s):  
Growth Rate ◽  
Pseudomonas Syringae ◽  
Large Scale ◽  
Optimal Growth ◽  
Growth Substance ◽  
Plant Growth Substance ◽  
High Efficient ◽  
Root Model ◽  
Fermentation Pattern ◽  
Solid Foundation

Pseudomonas syringaepv. mori M4-13 is a new coronatine-production strain isolated from mulberry trees. As a high efficient plant growth substance, coronatine is difficult to obtain from the traditional bacteria under the high temperature. The fermentation temperature cannot be greater than 301K. However, the coronatine production is strictly growth associated. Therefore, biomass growth and accumulation of coronatine should be studied coordinately. In this paper, the growth rate of the strain was studied by the square root model, and the temperature-changing fermentation pattern of coronatine was optimized. In the fitting function of , the value of b was 0.03276, c was 0.1759, R2= 0.99. Based on the results, the optimal growth temperature of Pseudomonas syringae pv.moriM4-13 is 305K. The accumulation of coronatine reaches the peak, when the strain was incubated at the 305K for 3 days, following with the fermentation at 291K for another 3days. This fermentation pattern lay a solid foundation for the large-scale applications in the industrial production.

Peer-to-Peer Service Discovery for Grid Computing

2012 ◽  
pp. 232-259
Author(s):  
Eddy Caron ◽  
Frédéric Desprez ◽  
Franck Petit ◽  
Cédric Tedeschi
Keyword(s):  
Fault Tolerance ◽  
Load Balancing ◽  
Service Discovery ◽  
Large Scale ◽  
Dynamic Networks ◽  
Peer To Peer ◽  
Indexing System ◽  
Key Points ◽  
Computing Platforms ◽  
Traditional Approaches

Within distributed computing platforms, some computing abilities (or services) are offered to clients. To build dynamic applications using such services as basic blocks, a critical prerequisite is to discover those services. Traditional approaches to the service discovery problem have historically relied upon centralized solutions, unable to scale well in large unreliable platforms. In this chapter, we will first give an overview of the state of the art of service discovery solutions based on peer-to-peer (P2P) technologies that allow such a functionality to remain efficient at large scale. We then focus on one of these approaches: the Distributed Lexicographic Placement Table (DLPT) architecture, that provide particular mechanisms for load balancing and fault-tolerance. This solution centers around three key points. First, it calls upon an indexing system structured as a prefix tree, allowing multi-attribute range queries. Second, it allows the mapping of such structures onto heterogeneous and dynamic networks and proposes some load balancing heuristics for it. Third, as our target platform is dynamic and unreliable, we describe its powerful fault-tolerance mechanisms, based on self-stabilization. Finally, we present the software prototype of this architecture and its early experiments.

scholarly journals Estimating the Capacity of Urban Transportation Networks with an Improved Sensitivity Based Method

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Muqing Du ◽  
Xiaowei Jiang ◽  
Lin Cheng
Keyword(s):  
Sensitivity Analysis ◽  
Large Scale ◽  
Transportation Network ◽  
Network Capacity ◽  
Combined Model ◽  
Practical Applications ◽  
Large Scale Problems ◽  
Capacity Model ◽  
High Efficient ◽  
Equilibrium Constraint

The throughput of a given transportation network is always of interest to the traffic administrative department, so as to evaluate the benefit of the transportation construction or expansion project before its implementation. The model of the transportation network capacity formulated as a mathematic programming with equilibrium constraint (MPEC) well defines this problem. For practical applications, a modified sensitivity analysis based (SAB) method is developed to estimate the solution of this bilevel model. The high-efficient origin-based (OB) algorithm is extended for the precise solution of the combined model which is integrated in the network capacity model. The sensitivity analysis approach is also modified to simplify the inversion of the Jacobian matrix in large-scale problems. The solution produced in every iteration of SAB is restrained to be feasible to guarantee the success of the heuristic search. From the numerical experiments, the accuracy of the derivatives for the linear approximation could significantly affect the converging of the SAB method. The results also show that the proposed method could obtain good suboptimal solutions from different starting points in the test examples.

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