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1 – 10 of over 191000
Article
Publication date: 1 October 1966

R.M.A. MCcLELLAND and W.W. MAPLESON

The purpose of this article is to examine the hypothesis that ‘classified schedules of features, with specific/generic relationships, are of value in feature‐card indexing.’ The…

Abstract

The purpose of this article is to examine the hypothesis that ‘classified schedules of features, with specific/generic relationships, are of value in feature‐card indexing.’ The data in support of the hypothesis has been drawn from experience gained in the construction and use of a feature‐card index designed for anaesthetics literature. This index has already been described in detail elsewhere; but to make this article comprehensible it is necessary after outlining the problem of the information explosion in medicine, and in anaesthesia in particular, to give a brief account of the development and structure of this feature‐card index.

Details

Aslib Proceedings, vol. 18 no. 10
Type: Research Article
ISSN: 0001-253X

Article
Publication date: 1 April 2001

Ibrahim Hassan and Jin Zhang

Investigates image search engines (ISEs) on the Internet. A total of 23 ISEs were examined in an attempt to investigate, evaluate, and characterise their common features. Each…

Abstract

Investigates image search engines (ISEs) on the Internet. A total of 23 ISEs were examined in an attempt to investigate, evaluate, and characterise their common features. Each individual ISE was evaluated against the common features. Attempts to summarise the most comprehensive and complete ISE by looking at their significant features.

Details

Online Information Review, vol. 25 no. 2
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 1 June 1963

J.L. JOLLEY

Co‐ordinate (sometimes called synthetic) indexing was in use for many years before it gained its present names. It had no name at all: it was simply the way people went about…

Abstract

Co‐ordinate (sometimes called synthetic) indexing was in use for many years before it gained its present names. It had no name at all: it was simply the way people went about answering certain sorts of question. It was used in accountancy, quality control, staff placement, medical record keeping, and municipal housing management—to take examples at random. It consisted, and it still consists, in collecting an appropriate set of items and recording their features in a standard language, usually a code, on suitable data vehicles, usually cards. Each card represented an item, and was marked with coloured tabs, or punched with holes, or clipped around its edges, the tabs or holes or notches showing which features the item possessed. All items possessing any given set of features then became easy to find. One looked—one still looks—for the right set of tabs or notches or holes.

Details

Aslib Proceedings, vol. 15 no. 6
Type: Research Article
ISSN: 0001-253X

Article
Publication date: 27 July 2012

Shajahan Bin Maidin, Ian Campbell and Eujin Pei

The purpose of this paper is to propose a method to aid design practitioners and students towards the design of additive manufactured products or parts produced using laser…

2531

Abstract

Purpose

The purpose of this paper is to propose a method to aid design practitioners and students towards the design of additive manufactured products or parts produced using laser sintering (LS).

Design/methodology/approach

A design feature taxonomy was first developed as a guide for the development of a computer‐based design support tool. It comprised four taxons based on the reasons for utilising additive manufacturing (AM). These were user fit requirement, improved product functionality, parts consolidation and improvement of aesthetics or form. Each of the requirements was further expanded into 13 sub‐categories that contained examples of various design features that was then represented in the form of an MS Access database.

Findings

Results from user trials of the database provide evidence to show the potential of the database, as it enables users to easily visualise and gather information about AM design features.

Originality/value

The paper describes a database, the aim of which is to serve as a collective source of information for design features produced by AM and as a method to aid the conceptual design process of AM parts or products.

Details

Assembly Automation, vol. 32 no. 3
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 1 November 1964

W.E. BATTEN

We designed our own hardware and drew up our own word list in a purely empirical way, unhampered by theory. We do not think of our word list as a language, but as a list of…

Abstract

We designed our own hardware and drew up our own word list in a purely empirical way, unhampered by theory. We do not think of our word list as a language, but as a list of descriptive features, a list of only about 450 words, and this we find to be ample. It seems that there is a limit to which the feature system can subdivide a field, and beyond this limit trouble arises from cross‐fertilization. The limit, however, is more than adequate for most purposes. If greater subdivision is required it seems preferable to split the larger field into several smaller ones, and to provide a separate set of features for each of these. The general tendency for beginners is to overdo the degree of subdivision. This should be resisted in the interests of efficiency. The essence of the feature system is that it is a method for narrowing down the search; each feature that is used in retrieval divides the field by a factor which may range from about five to twenty or more, so that the convergence is very rapid. In our system we regard the author, source, form, language and country of origin as features. Proper names are also features, so that the system is self‐contained, without the necessity of separate author or title indexes.

Details

Aslib Proceedings, vol. 16 no. 11
Type: Research Article
ISSN: 0001-253X

Article
Publication date: 12 March 2018

Benjamin Weiss, Olaf Diegel, Duane Storti and Mark Ganter

Manufacturer specifications for the resolution of an additive manufacturing (AM) machine can be ten times smaller (more optimistic) than the actual size of manufacturable features

Abstract

Purpose

Manufacturer specifications for the resolution of an additive manufacturing (AM) machine can be ten times smaller (more optimistic) than the actual size of manufacturable features. Existing methods used to establish a manufacturable design rule-set are conservative piecewise-constant approximations. This paper aims to evaluate the effectiveness of a first-order model for producing improved design rule-sets for feature manufacturability, accounting for process variation.

Design/methodology/approach

A framework is presented which uses an interpolation method and a statistical model to estimate the minimum size for a wide range of features from a set of iterative experiments.

Findings

For an SLS process, using this approach improves the accuracy and reliability of minimum feature size estimates for a wider variety of features than assessed by most existing test artifacts.

Research limitations/implications

More research is needed to provide better interpolation models, broaden applicability and account for additional geometric and process parameters which significantly impact the results. This research focuses on manufacturability and does not address dimensional accuracy of the features produced.

Practical implications

An application to the design of thin channels in a prosthetic hand shows the utility of the results in a real-world scenario.

Originality/value

This study is among the first to investigate statistical variation of “pass/fail” features in AM process characterization, propose a means of estimating minimum feature sizes for shapes not directly tested and incorporate a more efficient iterative experimental protocol.

Details

Rapid Prototyping Journal, vol. 24 no. 2
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 1 April 1998

C. Zhang, K.W. Chan and Y.H. Chen

Handling feature interaction is an unsolved issue in feature recognition approach. This paper presents a method for recognizing the presence of feature interactions. First, based…

Abstract

Handling feature interaction is an unsolved issue in feature recognition approach. This paper presents a method for recognizing the presence of feature interactions. First, based on the convex hull concept, a so‐called reference face is defined. Second, by adding the reference face into the attributes adjacency graph (AAG), a modified AAG is obtained. Two general feature types, namely depression and protrusion features, are identified by the reference face. The basic features such as slots, pockets and bosses are represented by the modified AAG. Any features that remain unrecognized by the modified AAG are regarded as interacting features. The types of reference faces and feature face are also classified. Based on the kind of face classification, the interacting features are finally recognized via a process of virtual face extension and volume addition.

Details

Integrated Manufacturing Systems, vol. 9 no. 2
Type: Research Article
ISSN: 0957-6061

Keywords

Article
Publication date: 5 June 2007

Tian Han, Bo‐Suk Yang and Zhong‐Jun Yin

The purpose of this paper is to identify the efficiency of vibration signals for fault diagnosis system of induction motors.

1353

Abstract

Purpose

The purpose of this paper is to identify the efficiency of vibration signals for fault diagnosis system of induction motors.

Design/methodology/approach

A fault diagnosis system for induction motors using vibration signals is designed based on pattern recognition. Genetic algorithm is used for feature reduction and neural network tuning.

Findings

The usage of genetic algorithm improves the system performance through selecting significant features and optimizing network structure. The efficiency of vibration signals is demonstrated.

Practical implications

Condition monitoring and fault diagnosis for induction motors is one of the main industry maintenance parts. Motors faults usually result in whole production line breakdown. In this paper, one fault diagnosis system is proposed for induction motors based on feature recognition through combination of feature extraction, genetic algorithm and neural network techniques. From the paper, one can learn practically the whole procedure of feature‐based fault diagnosis system and the efficiency of GA and vibration signals for motor fault diagnosis. One real test has been done to validate the system performance. The results indicate that this system is promising for the real application in industry.

Originality/value

The use of genetic algorithm for feature selection and neural network tuning; the choice of vibration analysis for fault diagnosis of induction motor.

Details

Journal of Quality in Maintenance Engineering, vol. 13 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 7 June 2011

R.S. Lihitkar and Shalini R. Lihitkar

The purpose of this paper is to present a comparative study of selected existing library automation software available in India.

1813

Abstract

Purpose

The purpose of this paper is to present a comparative study of selected existing library automation software available in India.

Design/methodology/approach

The literature search was carried out to collect the data regarding library automation, library software. Survey, questionnaire and personal visit to local library software developer, method were used. The questionnaire was designed on the basis of software application, operating system used, hardware requirement and modules provided. These questionnaires were sent to all software developers. On receiving of the ten questionnaires, data were analyzed and tabulated. The last step was report preparation and drawing conclusions.

Findings

It is observed that total ten software provided acquisition, cataloguing, online public access catalog (OPAC), circulation and serial control facility. Only five library softwares provide online facility. Out of ten library software; LibSys is the highly rated one having 37 software features followed by SOUL software having 36 points followed by 35 points of Wolk Soft Tech software. SLIM 21 and SLM+ + has 34 points. It is necessary to improve the quality of software for providing effective services. In circulation, 18 features are added. Out of 18 features, SOUL has all the 18 features and is highly ranked followed by Libman, SLIM 21, SLIM+ +and Wolk Soft tech have 17 point each, respectively. Libtech has 16 circulation features. In the OPAC module, 20 features have been studied. Out of 20 features, Libman has all the 20 features and is highly rated followed by SOUL software, which includes 19 features. Out of 20 features, LibSys has 18 software features. Out of 11 features, LibSys, SLIM 21 and SOUL has all 11 features followed by DELPLUS, Libman and Libtech having ten points each. In serial control, six features are added. Out of six features, I‐Lib, Libman, LibSys, Libtech, SLIM 21, SLIM++, Softlib and SOUL have all the six features followed by four features in DELPLUS, and Wolk Soft tech. The credibility of library software packages is evaluated on the basis of their salient features and the facilities available in the software. On the basis of the salient features, and the facilities provided, the software is ranked by giving points to each facility as per features. SOUL software scored first rank (90 points) among all ten software followed by Libman (84 points) and LibSys (83 points).

Research limitations/implications

In total, 72 library automation software packages have been developed in India. But for this study, ten selected software packages have been chosen on the basis of their usability and implementation to libraries.

Practical implications

After this study, one can enable to evaluate the library automation software packages and ranks them according to their features so that they can implement the particular software for library automation to their own library.

Originality/value

The paper provides a comprehensive picture of features, facilities available and services rendered by various library automation software packages in India. None of the research has been done till now on evaluation of these ten library software in India.

Details

Library Hi Tech News, vol. 28 no. 4
Type: Research Article
ISSN: 0741-9058

Keywords

Open Access
Article
Publication date: 19 December 2018

Min Wang, Shuguang Li, Lei Zhu and Jin Yao

Analysis of characteristic driving operations can help develop supports for drivers with different driving skills. However, the existing knowledge on analysis of driving skills…

1089

Abstract

Purpose

Analysis of characteristic driving operations can help develop supports for drivers with different driving skills. However, the existing knowledge on analysis of driving skills only focuses on single driving operation and cannot reflect the differences on proficiency of coordination of driving operations. Thus, the purpose of this paper is to analyze driving skills from driving coordinating operations. There are two main contributions: the first involves a method for feature extraction based on AdaBoost, which selects features critical for coordinating operations of experienced drivers and inexperienced drivers, and the second involves a generating method for candidate features, called the combined features method, through which two or more different driving operations at the same location are combined into a candidate combined feature. A series of experiments based on driving simulator and specific course with several different curves were carried out, and the result indicated the feasibility of analyzing driving behavior through AdaBoost and the combined features method.

Design/methodology/approach

AdaBoost was used to extract features and the combined features method was used to combine two or more different driving operations at the same location.

Findings

A series of experiments based on driving simulator and specific course with several different curves were carried out, and the result indicated the feasibility of analyzing driving behavior through AdaBoost and the combined features method.

Originality/value

There are two main contributions: the first involves a method for feature extraction based on AdaBoost, which selects features critical for coordinating operations of experienced drivers and inexperienced drivers, and the second involves a generating method for candidate features, called the combined features method, through which two or more different driving operations at the same location are combined into a candidate combined feature.

Details

Journal of Intelligent and Connected Vehicles, vol. 1 no. 3
Type: Research Article
ISSN: 2399-9802

Keywords

1 – 10 of over 191000