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Article
Publication date: 1 November 2001

Francis E.H. Tay, Yadav P. Khanal, Kwok Kuen Kwong and Kim Cheng Tan

This paper focuses on the development of a distributed rapid prototyping system via the Internet to form a framework of Internet prototyping and manufacturing for the…

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Abstract

This paper focuses on the development of a distributed rapid prototyping system via the Internet to form a framework of Internet prototyping and manufacturing for the support of effective product development. The proposed methodology is targeted at a wide audience using a disparate range of computer systems to access remotely located rapid prototyping facilities via the Internet for prototype fabrication. The methodology is useful for both educational research for teaching evolving rapid prototyping technologies and remote scientific visualization. This approach is based on the merger of object‐oriented modular software architecture and client server communications for the remote control of rapid prototyping hardware (called fused deposition modeling) via the Internet. Other Web tools are used to allow the remote user to have higher interactivity with the server applications that have a direct link with the front‐end terminals controlling the rapid prototyping hardware.

Details

Integrated Manufacturing Systems, vol. 12 no. 6
Type: Research Article
ISSN: 0957-6061

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Article
Publication date: 12 July 2021

Murat Isiker and Oktay Tas

This paper aims to examine the stock return behaviour around the bonus issue announcements in eight emerging markets for 2010–2019 by addressing the signalling, cash…

Abstract

Purpose

This paper aims to examine the stock return behaviour around the bonus issue announcements in eight emerging markets for 2010–2019 by addressing the signalling, cash substitution and liquidity hypotheses.

Design/methodology/approach

Besides using the standard event study technique to test the presence of an anomaly, country-based regression analyses are performed. Firm-specific factors are used to understand the motive behind the anomaly observed pre- and post-announcement periods. Also, the Amihud illiquidity measure examines the liquidity hypothesis, while standardized profitability and investment ratios compare the long-run operational performance of bonus issuers to test the validity of signalling.

Findings

The findings provide evidence that abnormal returns can be detected ten days before the announcement in some countries, which is a sign of information leakage. The presence of the effect continues only in two countries after the announcement is released. The size of the bonus issue is found strongly significant in most countries, while a weak relation between abnormal return and other factors is detected. Moreover, the signalling hypothesis does not hold in the sense of long-run profitability increase, while liquidity assertion is partially presented.

Research limitations/implications

Due to an inadequate number of announcements in other emerging markets, the number of sample countries is limited by eight.

Originality/value

The research is novel regarding analyzing a wide range of emerging countries with various variables. Also, the paper is distinguished from other studies by applying multiple set of regressions under nine different event windows.

Details

Review of Behavioral Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1940-5979

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Article
Publication date: 30 November 2020

Anton Saveliev, Egor Aksamentov and Evgenii Karasev

The purpose of this paper is to analyze the development of a novel approach for automated terrain mapping a robotic vehicles path tracing.

Abstract

Purpose

The purpose of this paper is to analyze the development of a novel approach for automated terrain mapping a robotic vehicles path tracing.

Design/methodology/approach

The approach includes stitching of images, obtained from unmanned aerial vehicle, based on ORB descriptors, into an orthomosaic image and the GPS-coordinates are binded to the corresponding pixels of the map. The obtained image is fed to a neural network MASK R-CNN for detection and classification regions, which are potentially dangerous for robotic vehicles motion. To visualize the obtained map and obstacles on it, the authors propose their own application architecture. Users can any time edit the present areas or add new ones, which are not intended for robotic vehicles traffic. Then the GPS-coordinates of these areas are passed to robotic vehicles and the optimal route is traced based on this data

Findings

The developed approach allows revealing impassable regions on terrain map and associating them with GPS-coordinates, whereas these regions can be edited by the user.

Practical implications

The total duration of the algorithm, including the step with Mask R-CNN network on the same dataset of 120 items was 7.5 s.

Originality/value

Creating an orthophotomap from 120 images with image resolution of 470 × 425 px requires less than 6 s on a laptop with moderate computing power, what justifies using such algorithms in the field without any powerful and expensive hardware.

Details

International Journal of Intelligent Unmanned Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2049-6427

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Article
Publication date: 1 March 2021

Zeinab Hosseini, Mohammad Taghi Ghaneian, Mahin Ghafourzade and Abbasali Jafari Nodoushan

This paper aims to evaluate the bioremediation [chemical oxygen demand (COD) and color removal] of the effluent from the cardboard recycling industry in Yazd, central…

Abstract

Purpose

This paper aims to evaluate the bioremediation [chemical oxygen demand (COD) and color removal] of the effluent from the cardboard recycling industry in Yazd, central province of Iran, using mixed fungal culture.

Design/methodology/approach

First, the effluent samples from the cardboard recycling industry were cultured on potato dextrose agar medium to isolate native fungal colonies. The grown colonies were then identified using morphological macroscopic and microscopic characteristics to choose the dominant fungi for bioremediations. The mixed cultures of Aspergillus niger, Aspergillus flavus and Penicillium digitatum were finally used for bioremediation experiments of the cardboard recycling industry. A suspension containing 1 × 106 CFU/ml of fungal spores was prepared from each fungus, separately and their homogenous mixture. Sewage samples were prepared and sterilized and used at 25%, 50% and 90% dilutions and pH levels of 5, 7 and 8 for bioremediation tests using mixed fungal spores. Following that, 10 ml of the mixed fungal spores were inoculated into the samples for decolorization and COD removal and incubated for 10 days at 30°C. The amount of COD removal and decolorization were measured before incubation and after 3, 6 and 10 days of inoculation. In this research, the color was measured by American Dye Manufacturer Institute and COD by the closed reflux method. The results of the present study were analyzed using SPSS 21 statistical software and one-way ANOVA tests at p-value < 0.05.

Findings

The results of this research showed that the mean decolorization by mixed fungal culture over 10 days at pH levels of 5, 7 and 8 were 44.40%, 45.00% and 36.84%, respectively, and the mean COD removal efficiency was 71.59%, 73.54% and 16.55%, respectively. Moreover, the mean decolorization at dilutions of 25%, 50% and 90% were 45.00%, 31.93% and 30.53%, respectively, and the mean COD removal efficiency was 73.54%, 62.38% and 34.93%, respectively. Therefore, the maximal COD removal and decolorization efficiency was obtained at dilution of 25% and pH 7.

Originality/value

Given that limited studies have been conducted on bioremediation of the effluent from the cardboard recycling industry using fungal species, this research could provide useful information on the physicochemical properties of the effluent in this industry.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 18 September 2019

Komalpreet Kaur, Rajan Sharma and Sukhwant Singh

The purpose of this review is to address the consumer’s preferences that have varied greatly in the past decade appraising the use of flavor and aroma compounds in the…

Abstract

Purpose

The purpose of this review is to address the consumer’s preferences that have varied greatly in the past decade appraising the use of flavor and aroma compounds in the development of functional foods rather than consuming artificial additives. A growing interest in natural flavoring agents and preservatives have made the researchers to explore the other bio-functional properties of natural flavors beyond their ability to give a remarkable flavor to the food.

Design/methodology/approach

In this review, five major flavoring agents used significantly in food industries have been discussed for their bioactive profile and promising health benefits. Vanilla, coffee, cardamom, saffron and cinnamon, despite being appreciated as natural flavors, have got impressive health benefits due to functional ingredients, which are being used for the development of nutraceuticals.

Findings

Flavoring and coloring compounds of these products have shown positive results in the prevention of several diseases including carcinoma and neurological diseases such as Alzheimer’s and Parkinson’s. Such effects are attributed to the presence of phenolic compounds, which possesses free radical scavenging, anti-inflammatory antiviral and antimicrobial properties. These properties not only show a preventive mechanism against diseases but also makes the food product shelf-stable by imparting antimicrobial effects.

Originality/value

This paper highlights the opportunities to increase the use of such natural flavoring agents over synthetic aroma compounds to develop novel functional foods. Phenols, carotenoids and flavonoids are the major health-promoting components of these highly valued aroma ingredients.

Details

Pigment & Resin Technology, vol. 49 no. 2
Type: Research Article
ISSN: 0369-9420

Keywords

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