scholarly journals Further tests of sequence-sensitive models in a modified Garner task using separable dimensions

2020 ◽  
Author(s):  
Deborah J. Lin ◽  
Daniel R. Little
Keyword(s):  
Irrelevant Dimension ◽  
Feature Model ◽  
Cognitive Tasks ◽  
Exemplar Model ◽  
Perceptual Categorization ◽  
Relevant Feature ◽  
Sequential Effects ◽  
Separable Dimension ◽  
Growing Body ◽  
Feature Based

In the study of perceptual categorization, a key distinction is made between integral and separable dimensions. Integral dimensions are often highly unanalyzable, while separable dimensions are highly analyzable and easy to attend in isolation. Little, Wang, and Nosofsky (2016) showed that when trial-by-trial responses are analyzed, a consistent pattern of sequential effects was found in a modified Garner paradigm using integral-dimension stimuli. The present experiments investigate whether these pronounced sequential effects are also found with separable-dimension stimuli. Two experiments using different separable dimensions were conducted. The results indicate that similar patterns of sequential effects were present for separable dimension stimuli, but, unlike for integral dimensions, the effect of a change in the irrelevant dimension in the filtering task was not found. Further, for separable dimensions, the overall pattern of sequential effects did not vary between the Garner tasks (i.e., control, correlated, and filtering). To explain these results, we fit a sequence-sensitive exemplar model and compared the fits of this model to a novel sequence-sensitive feature model, in which only the relevant feature influences the categorization decision. We find that this feature-based model provides a more compelling account of our separable dimension data, while the full exemplar model provides a better account of the integral dimension data. The findings of the present study provide a morecomplete understanding of perceptual categorization and add to the growing body of literature on the prevalence and critical implications of strong sequential effects in cognitive tasks.

Context and paradigms

2015 ◽  
Vol 10 (3) ◽  
pp. 313-338 ◽  
Author(s):  
Clara Cohen
Keyword(s):  
Current Work ◽  
Yield Reduction ◽  
Exemplar Model ◽  
Word Form ◽  
Pronunciation Variation ◽  
Growing Body ◽  
Word Forms ◽  
Verbal Agreement

A small but growing body of research on English and Dutch has found that pronunciation of affixes in a word form is sensitive to paradigmatic probability – i.e., the probability of using that form over other words in the same morphological paradigm. Yet it remains unclear (a) how paradigmatic probability is best measured; (b) whether an increase in paradigmatic probability leads to phonetic enhancement or reduction; and (c) by what mechanism paradigmatic probability can affect pronunciation. The current work examines pronunciation variation of Russian verbal agreement suffixes. I show that there are two distinct patterns of variation, corresponding to two different measures of paradigmatic probability. One measure, pairwise paradigmatic probability, is associated with a pronunciation pattern that resembles phonetic enhancement. The second measure, lexeme paradigmatic probability, can show enhancement effects, but can also yield reduction effects more similar to those of contextual probability. I propose that these two patterns can be explained in an exemplar model of lexical storage. Reduction effects are the consequence of faster retrieval and encoding of an articulatory target, while effects that resemble enhancement result when the pronunciation target of both members of a pair of competing word forms is shifted towards the more frequent of two.

Web-Enabled Feature-Based Modeling in a Distributed Design Environment

1999 ◽  
Author(s):  
Jae Yeol Lee ◽  
Hyun Kim ◽  
Sung-Bae Han
Keyword(s):  
Collaborative Design ◽  
Feature Modeling ◽  
Feature Model ◽  
Internet Technology ◽  
Global Network ◽  
Dynamic Feature ◽  
Distributed Design ◽  
Product Modeling ◽  
Design Environment ◽  
Feature Based

Abstract Network and Internet technology open up another domain for building future CAD/CAM environments. The environment will be global, network-centric, and spatially distributed. In this paper, we present Web-enabled feature-based modeling in a distributed design environment. The presented approach combines the current feature-based modeling technique with distributed computing and communication technology for supporting product modeling and collaborative design activities over the network. The approach is implemented in a client/server architecture, in which Web-enabled feature modeling clients, neutral feature model server, and other applications communicate with one another via a standard communication protocol. The paper discusses how the neutral feature model supports multiple views and maintains naming consistency between geometric entities of the server and clients as the user edits the part in a client. Moreover, it explains how to minimize the network delay between the server and client according to dynamic feature modeling operations.

Document-Driven Design for Distributed CAD Services

2011 ◽  
pp. 711-736
Author(s):  
Yan Wang
Keyword(s):  
Service Oriented Architecture ◽  
Feature Model ◽  
System Throughput ◽  
Data Interoperability ◽  
Batch Mode ◽  
Cad Systems ◽  
Service Oriented ◽  
Feature Based ◽  
New Feature ◽  
Enterprise Collaboration

Current CAD systems only support interactive geometry generation, which is not ideal for distributed engineering services in enterprise-to-enterprise collaboration with a generic thin-client service-oriented architecture. This chapter presents a new feature-based modeling mechanism, document-driven design, to enable batch mode geometry construction for distributed CAD systems. A semantic feature model is developed to represent informative and communicative design intent. Feature semantics is explicitly captured as trinary relation, which provides good extensibility and prevents semantics loss. Data interoperability between domains is enhanced by schema mapping and multi-resolution semantics. This mechanism aims to enable asynchronous communication in distributed CAD environments with ease of design alternative evaluation and reuse, and improved system throughput and utilization

scholarly journals Smoke Object Segmentation and the Dynamic Growth Feature Model for Video-Based Smoke Detection Systems

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1075
Author(s):  
Md Rashedul Islam ◽  
Md Amiruzzaman ◽  
Shahriar Nasim ◽  
Jungpil Shin
Keyword(s):  
Growth Analysis ◽  
Moving Objects ◽  
Feature Model ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Smoke Detection ◽  
Detection Model ◽  
Detection Systems ◽  
Feature Based ◽  
Growth Feature

This article concerns smoke detection in the early stages of a fire. Using the computer-aided system, the efficient and early detection of smoke may stop a massive fire incident. Without considering the multiple moving objects on background and smoke particles analysis (i.e., pattern recognition), smoke detection models show suboptimal performance. To address this, this paper proposes a hybrid smoke segmentation and an efficient symmetrical simulation model of dynamic smoke to extract a smoke growth feature based on temporal frames from a video. In this model, smoke is segmented from the multi-moving object on the complex background using the Gaussian’s Mixture Model (GMM) and HSV (hue-saturation-value) color segmentation to encounter the candidate smoke and non-smoke regions in the preprocessing stage. The preprocessed temporal frames with moving smoke are analyzed by the dynamic smoke growth analysis and spatial-temporal frame energy feature extraction model. In dynamic smoke growth analysis, the temporal frames are segmented in blocks and the smoke growth representations are formulated from corresponding blocks. Finally, the classifier was trained using the extracted features to classify and detect smoke using a Radial Basis Function (RBF) non-linear Gaussian kernel-based binary Support Vector Machine (SVM). For validating the proposed smoke detection model, multi-conditional video clips are used. The experimental results suggest that the proposed model outperforms state-of-the-art algorithms.

Document-Driven Design for Distributed CAD Services

2011 ◽  
pp. 371-397
Author(s):  
Yan Wang
Keyword(s):  
Service Oriented Architecture ◽  
Feature Model ◽  
System Throughput ◽  
Data Interoperability ◽  
Batch Mode ◽  
Cad Systems ◽  
Service Oriented ◽  
Feature Based ◽  
New Feature ◽  
Enterprise Collaboration

Current CAD systems only support interactive geometry generation, which is not ideal for distributed engineering services in enterprise-to-enterprise collaboration with a generic thin-client service-oriented architecture. This chapter presents a new feature-based modeling mechanism, document-driven design, to enable batch mode geometry construction for distributed CAD systems. A semantic feature model is developed to represent informative and communicative design intent. Feature semantics is explicitly captured as trinary relation, which provides good extensibility and prevents semantics loss. Data interoperability between domains is enhanced by schema mapping and multi-resolution semantics. This mechanism aims to enable asynchronous communication in distributed CAD environments with ease of design alternative evaluation and reuse, and improved system throughput and utilization

scholarly journals Understanding location- and feature-based processing along the human intraparietal sulcus

2016 ◽  
Vol 116 (3) ◽  
pp. 1488-1497 ◽  
Author(s):  
Katherine C. Bettencourt ◽  
Yaoda Xu
Keyword(s):  
Short Term Memory ◽  
Visual Cognition ◽  
Cognitive Tasks ◽  
Intraparietal Sulcus ◽  
Short Term ◽  
Object Individuation ◽  
Visual Short Term Memory ◽  
Feature Based ◽  
Partial Overlap

Based on different cognitive tasks and mapping methods, the human intraparietal sulcus (IPS) has been subdivided according to multiple different organizational schemes. The presence of topographically organized regions throughout IPS indicates a strong location-based processing in this brain region. However, visual short-term memory (VSTM) studies have shown that while a region in the inferior IPS region (inferior IPS) is involved in object individuation and selection based on location, a region in the superior IPS (superior IPS) primarily encodes and stores object featural information. Here, we determined the localization of these two VSTM IPS regions with respect to the topographic IPS regions in individual participants and the role of different IPS regions in location- and feature-based processing. Anatomically, inferior IPS showed an 85.2% overlap with topographic IPS regions, with the greatest overlap seen in V3A and V3B, and superior IPS showed a 73.6% overall overlap, with the greatest overlap seen in IPS0-2. Functionally, there appeared to be a partial overlap between IPS regions involved in location- and feature-based processing, with more inferior and medial regions showing a stronger location-based processing and more superior and lateral regions showing a stronger feature-based processing. Together, these results suggest that understanding the multiplex nature of IPS in visual cognition may not be reduced to examining the functions of the different IPS topographic regions, but rather, it can only be accomplished by understanding how regions identified by different tasks and methods may colocalize with each other.

Integration Methodology for Feature-Based Modeling and Recognition

1993 ◽  
Author(s):  
Heedong Ko ◽  
Myon-woong Park ◽  
Hojin Kang ◽  
Youngtae Sohn ◽  
Hyun Suk Kim
Keyword(s):  
Data Structure ◽  
Feature Recognition ◽  
Integration Method ◽  
Geometric Model ◽  
Feature Model ◽  
Model Data ◽  
Modeling Framework ◽  
Integrated Framework ◽  
Feature Based

Abstract This paper presents an integration method that constructs a feature model either by inserting new features or by recognizing features from existing geometric model. The integration is made possible by keeping the feature model data structure that is identical whether constructed by the feature insertion or the recognition. This overcomes the representational mismatch between the procedural feature-based modeling framework and the feature recognition framework. The integrated framework has been implemented as a CADCAM system for mould die manufacturing, which can interactively modify the geometric model by deleting recognized features.

Research and Implementation on Automatical Adjustment Method of Design Feature Model

2012 ◽  
Vol 197 ◽  
pp. 750-754
Author(s):  
Yao Chen ◽  
Guo Yuan Zhang ◽  
Jun Chao Wei ◽  
Xiu Tian Yan ◽  
Miao He
Keyword(s):  
Feature Recognition ◽  
Design Feature ◽  
Feature Modeling ◽  
Feature Model ◽  
Concurrent Design ◽  
Machining Feature ◽  
Feature Based ◽  
Feature Based Design ◽  
Product Realization

Traditional engineering design and realization typically follows a sequential pattern as described by many research publications such as French, Pahl and Beitz. These design methodologies face challenges when time is essence in product realization lifecycle. In contrast, as the design process of a product evolves，this new method incrementally creates machining feature model and realizes concurrent design feature and machining feature modeling based on an algorithm developed for local feature recognition. In addition, the method accelerated the determination of the area that require to be recognized by utilizing a dynamic link list to record the changing information of topological elements, the design features of the model generated by the feature-based design, processing and feature recognition is generated through feature model.

scholarly journals FEATURE-BASED RATIONALE MANAGEMENT SYSTEM FOR SUPPORTING SOFTWARE ARCHITECTURE ADAPTATION

2012 ◽  
Vol 22 (07) ◽  
pp. 945-964 ◽  
Author(s):  
BEDIR TEKINERDOGAN ◽  
HASAN SOZER ◽  
MEHMET AKSIT
Keyword(s):  
Software Architecture ◽  
Feature Model ◽  
Tool Support ◽  
Management Approach ◽  
Architecture Design ◽  
Design Rationale ◽  
Design Decisions ◽  
Design Alternatives ◽  
Architectural Tactics ◽  
Feature Based

Each software architecture design is the result of a broad set of design decisions and their justifications, that is, the design rationale. Capturing the design rationale is important for a variety of reasons such as enhancing communication, reuse and maintenance. Unfortunately, it appears that there is still a lack of appropriate methods and tools for effectively capturing and managing the architecture design rationale. In this paper we present a feature-based rationale management approach and the corresponding tool environment ArchiRationale for supporting software architecture adaptation. The approach takes as input an existing architecture and captures the design rationale for adapting the architecture for a given quality concern. For this we define a feature model that includes the possible set of architectural tactics to realize the quality concern. The presented approach captures the rationale for deciding on feature selections and for selecting the corresponding architecture design alternatives. ArchiRationale customizes and integrates the Eclipse plugin tools XFeature, ArchStudio and XQuery to provide tool support for capturing, storing and accessing the design rationale. We illustrate the approach for adapting a software architecture for fault tolerance.

A Feature-Based CAD-CAE Integrated Approach of Machine Tool and its Implementation

2011 ◽  
Vol 201-203 ◽  
pp. 54-58 ◽  
Author(s):  
Wen Tie Niu ◽  
Peng Fei Wang ◽  
Yu Shen ◽  
Wei Guo Gao ◽  
Li Na Wang
Keyword(s):  
Machine Tool ◽  
Dynamic Analysis ◽  
Parametric Design ◽  
Application Programming Interface ◽  
Integrated Approach ◽  
Parametric Modeling ◽  
Feature Model ◽  
Static And Dynamic Analysis ◽  
Cad System ◽  
Feature Based

An analysis feature-based CAD-CAE integrated approach was proposed to solve the problems of rapidly CAE modeling for static and dynamic analysis process of machine tool. Firstly, analysis features were defined in CAD system and analysis feature library was constructed for machine tool and its structural components. Secondly, analysis feature model was constructed by attaching analysis feature to CAD model interactively. Finally, ANSYS parametric design language (APDL) file was generated automatically by mapping analysis features to APDL codes, which realized the integration of CAD system and ANSYS system. Based on application programming interface (API) of SolidWorks, a parametric CAD-CAE tool oriented to static and dynamic analysis of machine tool was developed, which realized parametric modeling and automatic analysis of machine tool and improved design efficiency and quality of machine tool.

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