Thinking on the Design Practice of Modern Commercial Complex - Taking Hohhot Jinyu New Field Project as an Example

2014 ◽  
Vol 1020 ◽  
pp. 655-662
Author(s):  
Nan Wei Wu
Keyword(s):  
Large Scale ◽  
Business Culture ◽  
Design Practice ◽  
Fire Performance ◽  
Commercial Building ◽  
Commercial Space ◽  
Key Points ◽  
Development Area ◽  
Complex Project ◽  
Traffic Organization

The JinYu New Field Project is designed to build a large-scale center integrating business, culture, commerce, leisure and entertainment in the emerging development area in the south of Hohhot in the future. After three years of design and construction, the project begins to take shape. Through deep analysis of the commercial form, commercial space, land and traffic organization, fire performance of the commercial building and design difficulties of JinYu New Field Project, this paper summarizes the key points and difficulties of the commercial complex project in the design practice, and proposes the thinking on future development of the commercial complex in China.

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.

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.

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.

Office and Industrial

2002 ◽  
Author(s):  
Grant Ian Thrall
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Regression Equation ◽  
Hedonic Models ◽  
Commercial Building ◽  
Dummy Variables ◽  
The Real Estate ◽  
Market Rent ◽  
Independent Variables ◽  
Commercial Space

A developer needs advice on the market for commercial space, including office and industrial properties. An owner of a commercial building needs to determine how much to charge for leased space, how much to sell the property for, or how much the property can be refinanced for. A purchaser needs to determine if market conditions support purchasing commercial space, or renting, and at what price. The real estate market analyst is responsible for the creation and assembly of information to guide such decisions. A background overview of real estate market analysis for the product categories of office and industrial projects is presented. The hedonic approach hypothesizes that a variety of phenomena contribute in one way or another to determining market rent. In a hedonic model, office or industrial property rent or occupancy rate may be the dependent variable of a regression equation, as explained in chapter 4. The phenomena that are hypothesized to cause the value of the dependent variable are the independent variables of the regression equation. Some examples of independent variables that have been hypothesized and examined in hedonic models as to their contribution to determining office market rent are listed below: . . . Terms of lease (Glascock et al. 1990). Architectural design (Hough and Kratz 1983) Building characteristics (Vandell and Lane 1989) Access to white collar employment (Clapp 1980) Local property tax rates (Wheaton 1984) Status and prestige (Archer 1981; Archer et al. 1990) Agglomeration—benefits of high geographic concentrations of specialized office establishments for specific kinds of industry (Gad 1979; Kroll 1984) Spillovers from close geographic proximity (Clapp et al. 1992). . . . Hedonic models might also include dummy variables as independent variables to represent the presence of some characteristic or phenomenon. The dummy variables have an assigned the value of 1.0 to denote the occurrence of some characteristic and 0.0 to denote its absence. An expectation must be developed by the analyst on how markets and submarkets differ in their rents, vacancy rates, and absorption rates and what their trend is expected to be.

Modelling of inundation management during extreme storms

1995 ◽  
Vol 32 (1) ◽  
pp. 201-207
Author(s):  
A. G. Barnett ◽  
H. L. MacMurray ◽  
P. L. Wallace ◽  
R. T. Lester
Keyword(s):  
Return Period ◽  
Urban Drainage ◽  
Design Practice ◽  
Wetting And Drying ◽  
Surface Flows ◽  
Key Points ◽  
Drainage Design ◽  
Solution Methods ◽  
Urban Topography ◽  
Shock Fronts

The “major/minor” approach is being adopted as standard urban drainage design practice in many countries. Further to the normal primary drainage design for minor storms, this approach now requires management of inundation during extreme storms of return period fifty years or more. Surface flows then have to be investigated over an urban topography which is highly irregular and initially dry, and the transition from these conditions to major storm flows is difficult to analyse. The proposed modelling solution is based on the full integral hydraulic equations incorporating possible shock fronts. Wetting and drying simulation, careful channel resolution at low flows, and implicit solution methods with flat response properties are also important. Key points are illustrated by case studies.

Operative Methods for Traffic Organization during Multiple Projects

2013 ◽  
Vol 361-363 ◽  
pp. 2339-2343
Author(s):  
Fei Yao ◽  
Shun Ying Zhu ◽  
Qing Yuan Liu ◽  
Yu Wu ◽  
Jun Di Wu
Keyword(s):  
Traffic Management ◽  
Land Development ◽  
Time Block ◽  
Construction Procedure ◽  
Management Measures ◽  
Traffic Environment ◽  
Complex Project ◽  
Traffic Organization ◽  
Temporary Road ◽  
Method Construction

Multiple urban projects constructed at same time block many roads, which increases the difficulty for traffic organization. Considering the characteristics of multiple projects, took construction method, construction procedure, land development, traffic environment and traffic flow into account, this paper proposes a workflow for traffic organization, recommends building temporary road and reconstructing branch road to undertake all the traffic from blocked roads. Selecting Jiangcheng Avenue complex project as a case, four methods were put forward for keeping traffic uninterrupted during construction with different temporary road route designs and traffic management measures.

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