scholarly journals On the relationship between Bayesian error bars and the input data density

1995 ◽  
Author(s):  
C.K.I. Williams
Keyword(s):  
Input Data ◽  
Data Density ◽  
Error Bars ◽  
The Relationship

On the Relationship between Alonso's Theory of Movement and Wilson's Family of Spatial-Interaction Models

1981 ◽  
Vol 13 (2) ◽  
pp. 217-224 ◽  
Author(s):  
J Ledent
Keyword(s):  
Input Data ◽  
Spatial Interaction ◽  
System Of Equations ◽  
Interaction Models ◽  
Spatial Interaction Models ◽  
Standard Family ◽  
Original Contribution ◽  
Standard Models ◽  
The Relationship

This paper compares the system of equations underlying Alonso's theory of movement with that of Wilson's standard family of spatial-interaction models. It is shown that the Alonso model is equivalent to one of Wilson's four standard models depending on the assumption at the outset about which of the total outflows and/or inflows are known. This result turns out to supersede earlier findings—inconsistent only in appearance—which were derived independently by Wilson and Ledent. In addition to this, an original contribution of this paper—obtained as a byproduct of the process leading to the aforementioned result—is to provide an exact methodology permitting one to solve the Alonso model for each possible choice of the input data.

A cost evaluation model for IoT-enabled prefabricated construction supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wennan Zhang ◽  
Kai Kang ◽  
Ray Y. Zhong
Keyword(s):  
Hong Kong ◽  
Supply Chain ◽  
Input Data ◽  
Evaluation Model ◽  
Construction Cost ◽  
Influential Factors ◽  
System Boundary ◽  
Supply Chain System ◽  
Content Type ◽  
The Relationship

PurposeThis paper proposes an evaluation model for prefabricated construction to guide a supply chain with controllable costs. Prefabricated construction is prevalent due to area limitations. Nevertheless, the development is limited by budget control and identifying the factors affecting cost. The degree of close collaboration in the supply chain is closely interconnected with cost performance that includes direct and indirect factors. This paper not only quantizes these factors but also distinguishes the degree of influence of various factors.Design/methodology/approachSystem dynamics is applied to simulate and analyze the construction cost factors through Vensim software. It can also clarify the relationship between cost and other influencing factors. The input data are collected from an Internet of Things (IoT)-enabled system under a Building Information Modeling (BIM) system and Hong Kong government reports.FindingsSimulation results indicate that prefabricated construction cost is mainly influenced by government promotion degree (GPD), working pressure from on-site construction (WPOSC), prefab quality (PQ), load-bearing capacity per vehicle (LBPV) and mold quality (MQ). However, it is more sensitive toward GPD, which indicates that the government should take measures to promote this construction technology. On-site worker management is also essential for the assembly process and indirectly influences the construction cost.Research limitations/implicationsThis paper quantifies indirect influential factors to clarify the specific features for prefabricated construction. The investigated factors are limited.Practical implicationsThe contractor can identify all factors and classify the levels of influence to make decisions under the supply chain system boundary.Social implicationsThe input data are collected from an IoT-enabled system under a BIM system and Hong Kong government reports. Thus, the relationship between construction cost influential factors can be investigated.Originality/valueThis paper quantifies indirect influencing factors and clarifies the specific features in prefabricated construction. The contractor could identify these factors to make decisions and classify the levels of influence under the supply chain system boundary.

scholarly journals METHOD FOR DETECTING SHILLING ATTACKS BASED ON IMPLICIT FEEDBACK IN RECOMMENDER SYSTEMS

2020 ◽  
Vol 5 ◽  
pp. 21-30
Author(s):  
Oksana Chala ◽  
Lyudmyla Novikova ◽  
Larysa Chernyshova ◽  
Angelika Kalnitskaya
Keyword(s):  
Recommender System ◽  
Input Data ◽  
Implicit Feedback ◽  
User Selection ◽  
Time Intervals ◽  
User Interests ◽  
Selection Processes ◽  
Key Characteristics ◽  
The Relationship ◽  
Explicit Feedback

The problem of identifying shilling attacks, which are aimed at forming false ratings of objects in the recommender system, is considered. The purpose of such attacks is to include in the recommended list of items the goods specified by the attacking user. The recommendations obtained as a result of the attack will not correspond to customers' real preferences, which can lead to distrust of the recommender system and a drop in sales. The existing methods for detecting shilling attacks use explicit feedback from the user and are focused primarily on building patterns that describe the key characteristics of the attack. However, such patterns only partially take into account the dynamics of user interests. A method for detecting shilling attacks using implicit feedback is proposed by comparing the temporal description of user selection processes and ratings. Models of such processes are formed using a set of weighted temporal rules that define the relationship in time between the moments when users select a given object. The method uses time-ordered input data. The method includes the stages of forming sets of weighted temporal rules for describing sales processes and creating ratings, calculating a set of ratings for these processes, and forming attack indicators based on a comparison of the ratings obtained. The resulting signs make it possible to distinguish between nuke and push attacks. The method is designed to identify discrepancies in the dynamics of purchases and ratings, even in the absence of rating values at certain time intervals. The technique makes it possible to identify an approach to masking an attack based on a comparison of the rating values and the received attack indicators. When applied iteratively, the method allows to refine the list of profiles of potential attackers. The technique can be used in conjunction with pattern-oriented approaches to identifying shilling attacks

Computers and infrared spectroscopy: evolution and revolution

1991 ◽  
Vol 69 (11) ◽  
pp. 1781-1785 ◽  
Author(s):  
D. J. Moffatt ◽  
J. K. Kauppinen ◽  
H. H. Mantsch
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Key Words ◽  
Maximum Entropy ◽  
Input Data ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
History Of ◽  
The Fourier Transform ◽  
The Relationship

A brief history of the relationship between computer and infrared spectroscopist is given with emphasis on the use of the Fourier transform. Subsequently, an algorithm is developed that may be used to devise an objective Fourier self-deconvolution procedure which depends only on the input data and is not subject to the biases that are often introduced in such subjective techniques. Key words: deconvolution, Fourier transform, maximum entropy method.

Computational Intelligence for Modeling Human Sensations in Virtual Environments

2004 ◽  
Vol 8 (3) ◽  
pp. 302-312
Author(s):  
Ka Keung Lee ◽  
◽  
Yangsheng Xu
Keyword(s):  
Virtual Environments ◽  
Computational Intelligence ◽  
Input Data ◽  
Markov Models ◽  
Body Motion ◽  
Input Selection ◽  
Physical Stimuli ◽  
The Relationship ◽  
Relative Similarity ◽  
Full Body

In this research, computational intelligence techniques are applied towards the modeling of human sensations in virtual environments. We specifically focus on the following important questions: (1) how to efficiently model the relationship between human sensations and the physical stimuli presented to humans, (2) how to validate the human sensation models, and (3) how to reduce the size of the input data when it gets large and how to select the information which is most important to human sensation modeling. In order to provide an experimental testbed for the implementation of the proposed learning and analysis techniques, a full-body motion virtual reality interface capable of recording human sensations is developed. We propose using cascade neural networks with node-decoupled extended Kalman filter training for modeling human sensation in virtual environments. For the purpose of sensation model validation, we propose using a stochastic similarity measure based on hidden Markov models to calculate the relative similarity between model-generated sensation and actual human sensation. Next, we investigate a number of feature extraction and input selection techniques for reducing the input data size in human sensation modeling. We propose and develop a new input selection method based on independent component analysis, which is capable of reducing the data size and selecting the stimuli information that is most important to the human sensation.

scholarly journals Visual Clustering Analysis of some traditional Mango (Mangifera indica L.) varieties of Murshidabad District, West Bengal using Clust Vis web tool

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Mitu De ◽  
Subhasree Dutta ◽  
Susanta Ray ◽  
Santi Ranjan Dey
Keyword(s):  
Genetic Relationships ◽  
Mangifera Indica ◽  
Principal Component ◽  
Current Status ◽  
Web Tool ◽  
Breeding Programs ◽  
High Data ◽  
Visual Clustering ◽  
Data Density ◽  
The Relationship

A clustergram or a heatmap is one of several techniques that directly visualize data without the need for dimensionality reduction. Heatmap is a representation of data in the form of a map or diagram in which data values are represented as colours. Cluster heatmaps have high data density, allowing them to compact large amounts of information into a small space. “ClustVis”, is a web tool for visualizing clustering of multivariate data using Principal Component Analysis and Heatmap. Using this web tool, genetic relationships among the traditional mango (Mangifera indica L.) varieties can be visualized. In this investigation ten (10) indigenous mango varieties were selected. These were elite varieties of Murshidabad viz. Anaras, Bhabani, Champa, Dilpasand, Kalabati, Kohinoor, Kohitoor, Molamjam. The morphological and biological characters were analyzed using this tool. Analysis and assessment of the current status of mango genetic resources will be important for ascertaining the relationship among traditional varieties. This data may be used for appropriate conservation and sustainable utilization measures. This information may also be needed to carry out breeding programs to develop improved cultivars for sustainable livelihoods of local communities.

scholarly journals Investigation on Acoustic Versus Functional Characteristics of Porous Asphalt

2021 ◽  
Vol 16 (4) ◽  
pp. 212-239
Author(s):  
Filippo Giammaria Praticò ◽  
Rosario Fedele ◽  
Paolo Giovanni Briante
Keyword(s):  
Input Data ◽  
Error Function ◽  
Theoretical Background ◽  
Mix Design ◽  
Asphalt Pavements ◽  
Porous Asphalt ◽  
Measured Resistivity ◽  
Acoustic Spectra ◽  
The Relationship ◽  
Pavement Friction

The theoretical background, standards, and contract requirements of pavement friction courses involve functional (e.g., permeability) and acoustic (e.g., resistivity) characteristics. Unfortunately, their relationship is partly unknown and uncertain. This affects the comprehensiveness and soundness of the mix design of asphalt pavements. Based on the issues above, the goals of this study were confined into the following ones: 1) to investigate the relationship between acoustic and functional properties of porous asphalts; 2) to investigate, through one-layer (1L) and two-layer (2L) models, the effectiveness of the estimates of acoustic input data through mixture volumetric- and permeability-related characteristics. Volumetric and acoustic tests were performed and simulations were carried out. Equations and strategies to support a comprehensive approach were derived. Results demonstrate that even if the measured resistivity is very important, permeability-based estimates of resistivity well explain acoustic spectra. Furthermore, the distance between observed and estimated peaks of the absorption spectrum emerges as the best error function.

scholarly journals The company’s innovation development and marketing communication as a driver of the country’s macroeconomic stability: A quantitative analysis of tendencies

2021 ◽  
Vol 307 ◽  
pp. 07002
Author(s):  
Anna Rosokhata ◽  
Mariia Minchenko ◽  
Anna Chykalova ◽  
Oleksandr Muzychuk
Keyword(s):  
Quantitative Analysis ◽  
Input Data ◽  
Innovative Development ◽  
Marketing Communication ◽  
Communication Policy ◽  
Innovation Development ◽  
Industrial Enterprises ◽  
Natural Change ◽  
Business Structures ◽  
The Relationship

The work aims to analyse the activities of business structures in the issue of quantitative analysis of communication policy, as quantitative is more common and allows assessing the various aspects of communication policy of an enterprise in quantitative units. The tendency formed in conducting the communication policy of business structures is a natural change of the process in a certain time series. The paper graphically presents the relationship among the fundamental aspects of trend formation: time, place, and action. The study allows each promising trend selected from the previous stage of communication policy analysis to assess the success of the factors contributing to the speed of its spread to build input data for grouping trends that will further form promising areas of innovative development of industrial enterprises.

scholarly journals WAY OF FORECASTING OF WEIGHT OF A WING OF THE PLANE OF A TRANSPORT CATEGORY IN THE CONDITIONS OF DESIGN UNCERTAINTY

2014 ◽  
pp. 5-10
Author(s):  
Юрій Іванович Бондар ◽  
Віталій Віталійович Сухов
Keyword(s):  
Regression Analysis ◽  
Input Data ◽  
Statistical Data ◽  
Fuel Distribution ◽  
Aerodynamic Loads ◽  
Methods Of Calculation ◽  
Weight Analysis ◽  
Wing Structure ◽  
The Relationship ◽  
Working Out

Identify the relationship between the aerodynamic loads , weight of the wing structure and its deformations is an important issue in the early stages of the design of transport category aircraft.Existing methods of the weight analysis allow to estimate weight of basic elements of the plane (a wing, a fuselage, plumage, the chassis, wing mechanisation), but forecasting of distribution of these weights along their basic axes is a special problem.The work purpose is working out of a way of forecasting of running weight of a design and fuel distribution on tanks on a wing of the plane of a transport category at stages of outline designing.When determining the load of the weight of the wing structure input data are concentrated and distributed weight values that are determined by special methods of calculation. Insufficient accuracy of distribution of mass loadings can lead to unreasonable surpluses or lacks of durability of a design. Overestimate of weight of a design of a wing increases effect of unloading from own weight that reduces size of settlement weight. Understatement of the wing reduces weight and unloading heavier its design. Using regression analysis methods for processing of statistical data on the aircraft weight peers increases the accuracy of calculations.

scholarly journals Exploring Whether Data Can be Represented as a Composite Unit in Form Processing Using the Manufacturing of Information Approach

Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 156
Author(s):  
Blasco-Lopez ◽  
Hausler ◽  
Romero-Lopez ◽  
Glaus ◽  
Diaz-Sobac
Keyword(s):  
Input Data ◽  
Information Quality ◽  
General Level ◽  
Simple Correlation ◽  
Form Processing ◽  
Essential Components ◽  
Business Efficiency ◽  
The Relationship ◽  
Novel Model ◽  
Determining Factor

Data and information quality have been recognized as essential components for improving business efficiency. One approach for the assessment of information quality (IQ) is the manufacturing of information (MI). So far, research using this approach has considered a whole document as one indivisible block, which allows document evaluation only at a general level. However, the data inside the documents can be represented as components, which can further be classified according to content and composition. In this paper, we propose a novel model to explore the effectiveness of representing data as a composite unit, rather than indivisible blocks. The input data sufficiency and the relevance of the information output are evaluated in the example of analyzing an administrative form. We found that the new streamlined form proposed resulted in a 15% improvement in IQ. Additionally, we found the relationship between the data quantity and IQ was not a “simple” correlation, as IQ may increase without a corresponding increase in data quantity. We conclude that our study shows that the representation of data as a composite unit is a determining factor in IQ assessment.

Sign in / Sign up

Export Citation Format

Share Document