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Article
Publication date: 16 October 2018

Lin Feng, Yang Liu, Zan Li, Meng Zhang, Feilong Wang and Shenglan Liu

The purpose of this paper is to promote the efficiency of RGB-depth (RGB-D)-based object recognition in robot vision and find discriminative binary representations for…

Abstract

Purpose

The purpose of this paper is to promote the efficiency of RGB-depth (RGB-D)-based object recognition in robot vision and find discriminative binary representations for RGB-D based objects.

Design/methodology/approach

To promote the efficiency of RGB-D-based object recognition in robot vision, this paper applies hashing methods to RGB-D-based object recognition by utilizing the approximate nearest neighbors (ANN) to vote for the final result. To improve the object recognition accuracy in robot vision, an “Encoding+Selection” binary representation generation pattern is proposed. “Encoding+Selection” pattern can generate more discriminative binary representations for RGB-D-based objects. Moreover, label information is utilized to enhance the discrimination of each bit, which guarantees that the most discriminative bits can be selected.

Findings

The experiment results validate that the ANN-based voting recognition method is more efficient and effective compared to traditional recognition method in RGB-D-based object recognition for robot vision. Moreover, the effectiveness of the proposed bit selection method is also validated to be effective.

Originality/value

Hashing learning is applied to RGB-D-based object recognition, which significantly promotes the recognition efficiency for robot vision while maintaining high recognition accuracy. Besides, the “Encoding+Selection” pattern is utilized in the process of binary encoding, which effectively enhances the discrimination of binary representations for objects.

Details

Assembly Automation, vol. 39 no. 1
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 14 November 2016

Nitha Thomas, Joshin John Mathew and Alex James

The real-time generation of feature descriptors for object recognition is a challenging problem. In this research, the purpose of this paper is to provide a hardware…

Abstract

Purpose

The real-time generation of feature descriptors for object recognition is a challenging problem. In this research, the purpose of this paper is to provide a hardware friendly framework to generate sparse features that can be useful for key feature point selection, feature extraction, and descriptor construction. The inspiration is drawn from feature formation processes of the human brain, taking into account the sparse, modular, and hierarchical processing of visual information.

Design/methodology/approach

A sparse set of neurons referred as active neurons determines the feature points necessary for high-level vision applications such as object recognition. A psycho-physical mechanism of human low-level vision relates edge detection to noticeable local spatial stimuli, representing this set of active neurons. A cognitive memory cell array-based implementation of low-level vision is proposed. Applications of memory cell in edge detection are used for realizing human vision inspired feature selection and leading to feature vector construction for high-level vision applications.

Findings

True parallel architecture and faster response of cognitive circuits avoid time costly and redundant feature extraction steps. Validation of proposed feature vector toward high-level computer vision applications is demonstrated using standard object recognition databases. The comparison against existing state-of-the-art object recognition features and methods shows an accuracy of 97, 95, 69 percent for Columbia Object Image Library-100, ALOI, and PASCAL VOC 2007 databases indicating an increase from benchmark methods by 5, 3 and 10 percent, respectively.

Originality/value

A hardware friendly low-level sparse edge feature processing system is proposed for recognizing objects. The edge features are developed based on threshold logic of neurons, and the sparse selection of the features applies a modular and hierarchical processing inspired from the human neural system.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 9 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 9 November 2015

Jae Yeon Yang, Soyon Paek, Taegoo (Terry) Kim and Tae Hee Lee

The purpose of this study is to explore the effect of tourists’ needs for healing experience (NHE) on behavioral intentions for transformation (BIT) with healing…

Abstract

Purpose

The purpose of this study is to explore the effect of tourists’ needs for healing experience (NHE) on behavioral intentions for transformation (BIT) with healing involvement (HI) as a mediator. Using the two sub-constructs of BIT in the tourism industry (i.e. selection of healing tour products and transformational intention of healing tour behavior), this study evaluates BIT.

Design/methodology/approach

The survey was administered to visitors in healing resorts/centers in Korea; 383 completed surveys were used to investigate the hypothesized relationships of this study using regression analysis.

Findings

The study results confirmed the hypothesized relationships: the positive effects of NHE on BIT and the significant mediating role of HI in the relationships between NHE and BIT.

Practical implications

The relationships among NHE, HI and BIT can improve the understanding and practices of healing experience and the development of healing products in the tourism industry. This study offers a meaningful and extended perspective on customers’ experience and product development by interpreting customers’ desires and needs.

Originality/value

This study explores the under-researched subject of NHE and HI from a transformative economic perspective. The study is among the first to examine the structural relationships among NHE, HI and BIT. The uniqueness of the study is highlighted by the use of two sub-dimensions of the BIT industry (i.e. selection of healing tour products and transformational intention of healing tour behavior) in a tourism context.

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Article
Publication date: 2 March 2015

Piotr Tyczynski, Romana Ewa Sliwa and Robert Ostrowski

The purpose of this paper is to investigate the concept of new drill bit geometry adjusted to a given composite type. This paper explores the possibility of drilling in…

Abstract

Purpose

The purpose of this paper is to investigate the concept of new drill bit geometry adjusted to a given composite type. This paper explores the possibility of drilling in composites without negative effects such as: delamination, rapid tool wear, matrix burns, pulling out of fibers, etc.

Design/methodology/approach

Appropriate modification of drill bit geometries applied to composite materials include, among other things: modifications of point angles, reduction of chisel edge width, modification of drill margins and proper preparation of drill bit corners.

Findings

Description of tool geometry for drilling of different types of composites, in particular drilling in parts included free grain surfaces but also drilling at a different angle than 90°.

Research limitations/implications

Geometrical details of the tool for drilling are depended on the type of composite.

Practical implications

Making of montage holes in parts made of composites without negative effects during drilling.

Originality/value

Analysis of the current state of knowledge shows that there are insufficient solutions in terms of new drill geometry for drilling of composites. Existing solutions do not guarantee adequate stability and repeatability of the cutting process. It is necessary to create new geometry drills permit the elimination of negative phenomena during drilling.

Details

Aircraft Engineering and Aerospace Technology: An International Journal, vol. 87 no. 2
Type: Research Article
ISSN: 0002-2667

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Article
Publication date: 25 August 2021

Nitin Tejram Deotale

To enhance the performance transmit antenna selection (TAS) of spatial modulation (SM), systems technique needs to be essential. This TAS is an effective technique for…

Abstract

Purpose

To enhance the performance transmit antenna selection (TAS) of spatial modulation (SM), systems technique needs to be essential. This TAS is an effective technique for reducing the multiple input multiple output (MIMO) systems computational difficulty, and bit error rate (BER) can increase remarkably by various TAS algorithms. But these selection methods cannot provide code gain, so it is essential to join the TAS with external code to obtain cy -ode gain advantages in BER.

Design/methodology/approach

In this paper, Bose–Chaudhuri–Hocquenghem (BCH)-Turbo code TC is combined with the orthogonal space time block code system.

Findings

In some existing work, the improved BER has been perceived by joining forward error correction code and space time block code (STBC) for MIMO systems provided greater code gain. The proposed work can provide increasing code gain and the effective advantages of the TAS-OSTBC system.

Originality/value

To perform the system analysis, Rayleigh channel is used. In the case with multiple TAS-OSTBC systems, better performance can provide by this new joint of the BCH-Turbo compared to the conventional Turbo code for the Rayleigh fading.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

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Article
Publication date: 22 November 2011

Mariamma Chacko and K. Poulose Jacob

The purpose of this paper is to describe an approach towards code validation of RISC microcontrollers, which helps to automate software debugging. A static machine code…

Abstract

Purpose

The purpose of this paper is to describe an approach towards code validation of RISC microcontrollers, which helps to automate software debugging. A static machine code analysis which checks the appropriateness of instructions in a sequence to identify any logical mistakes and also to identify redundant codes appearing in a program for the target processor is presented.

Design/methodology/approach

Validation is done with the help of rules of inferences formulated for the target processor. The rules govern the occurrence of illegitimate/out of place instructions and code sequences for executing the computational and integrated peripheral functions. The stipulated rules are encoded in propositional logic formulae and their compliance is tested in all possible execution paths of the application programs. An incorrect sequence of machine code pattern is identified using slicing techniques on the control flow graph generated from machine code.

Findings

The results explain that the technique is independent of compiler/assembler and contributes to early detection of software bugs that are otherwise hard to detect. Program states are identified mainly with machine code pattern, which drastically reduces the state space creation contributing to an improved state‐of‐the‐art model checking.

Research limitations/implications

Though the technique described is general, the implementation is highly architecture oriented, and hence the feasibility study is conducted only on PIC16F87X microcontrollers.

Practical implications

This validation tool can be integrated to the system development environment resulting in improved software quality and reduced debugging time.

Originality/value

It is a novel and original approach at machine code level applicable to a wide range of processors once appropriate rules are available.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 4 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 1 October 2006

K. Prasad, N.C. Sahoo, R. Ranjan and A. Chaturvedi

This research paper reports a novel genetic algorithm (GA)‐based approach for reconfiguration of radial distribution networks for real loss minimization and power quality…

Abstract

Purpose

This research paper reports a novel genetic algorithm (GA)‐based approach for reconfiguration of radial distribution networks for real loss minimization and power quality improvement.

Design/methodology/approach

A fuzzy controlled GA has been used for efficient reconfiguration of radial distribution systems for loss minimization and power quality improvement. The special features of the proposed algorithm are: an improved chromosome coding/decoding for network representation so as to preserve the radial property without islanding any load after reconfiguration and an efficient convergence characteristics attributed to fuzzy controlled mutation.

Findings

The proposed network reconfiguration algorithm is very much effective in arriving at the global optimal solution (minimum loss network structure) because of efficient search of the solution space. Also, no invalid chromosomes are generated in the genetic evolution because of appropriate coding/decoding. The algorithm is found to be very much suitable for real time implementations.

Research limitations/implications

This research paper provides the power distribution engineers with a computationally efficient approach for optimal operation of distribution systems.

Practical implications

The algorithm proposed in this paper is computationally much faster compared to most of the present day mathematical programming approaches for distribution system operation. This makes it very much attractive for online implementations in any radial distribution network.

Originality/value

This paper has proposed a novel chromosome coding/decoding technique for radial distribution system and a fuzzy logic‐based mutation probability controller for efficient search of global solution space to be used in GA‐based optimal operation of radial distribution systems.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 25 no. 4
Type: Research Article
ISSN: 0332-1649

Keywords

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Article
Publication date: 1 November 1972

MADGE III, Microwave Aircraft Digital Guidance Equipment, is a logical extension of MADGE I which won the NATO portable tactical instrument approach and landing system…

Abstract

MADGE III, Microwave Aircraft Digital Guidance Equipment, is a logical extension of MADGE I which won the NATO portable tactical instrument approach and landing system competition last year. The system concept can be summarised as a combined distance‐measuring data‐link equipment in the aircraft which interrogates the ground terminal with an address code and a data message which includes information, such as distance, and air speed, such as may be necessary on the ground. Angles are measured on this transmission and the ground terminal transponds with a standard message carrying angular, cartesian or displacement data as required. Routine airfield status and air traffic control information may also be transmitted in the standard message format.

Details

Aircraft Engineering and Aerospace Technology, vol. 44 no. 11
Type: Research Article
ISSN: 0002-2667

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Article
Publication date: 1 December 2000

Hui‐Yuan Fan, Jane Wei‐Zhen Lu and Zong‐Ben Xu

Genetic algorithms have been extensively used in different domains as a type of robust optimization method. They have a much better chance of achieving global optima than…

Abstract

Genetic algorithms have been extensively used in different domains as a type of robust optimization method. They have a much better chance of achieving global optima than conventional gradient‐based methods which usually converge to local sub‐optima. However, convergence speeds of genetic algorithms are often not good enough at their current stage. For this reason, improving the existing algorithms becomes a very important aspect of accelerating the development of the algorithms. Three improved strategies for genetic algorithms are proposed based on Holland’s simple genetic algorithm (SGA). The three resultant improved models are studied empirically and compared, in feasibility and performance evaluation, with a set of artificial test functions which are usually used as performance benchmarks for genetic algorithms. The simulation results demonstrate that the three proposed strategies can significantly improve the SGA.

Details

Engineering Computations, vol. 17 no. 8
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 1 June 1979

VINE is produced at least four times a year with the object of providing up‐to‐date news of work being done in the automation of library housekeeping processes…

Abstract

VINE is produced at least four times a year with the object of providing up‐to‐date news of work being done in the automation of library housekeeping processes, principally in the UK. It is edited and substantially written by Tony McSean, Information Officer for Library Automation based in Southampton University Library and supported by a grant from the British Library Research and Development Department. Copyright for VINE articles rests with the British Library Board, but opinions expressed in VINE do not necessarily reflect the views and policies of the British Library. The subscription to VINE is £10 per year and the subscription period runs from January to December.

Details

VINE, vol. 9 no. 6
Type: Research Article
ISSN: 0305-5728

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