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Book part
Publication date: 4 September 2007

Margaret Dalziel

In acquisitions of technology-based firms the focus is typically on the technology and the target firm's engineers and scientists. But a firm is a social entity with a…

Abstract

In acquisitions of technology-based firms the focus is typically on the technology and the target firm's engineers and scientists. But a firm is a social entity with a range of important internal and external relationships that are essential to the exploitation of existing capabilities, and the development of new ones. These relationships need to be maintained, subsequent to acquisition, to preserve the target firm's ability to innovate and compete. I argue for the importance of the target firm's relationships with its customers, and show that the degree to which the acquisition creates or destroys value for the target firm's customers is a significant predictor of acquisition success.

Details

Advances in Mergers and Acquisitions
Type: Book
ISBN: 978-0-7623-1381-5

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Article
Publication date: 11 January 2022

Weishi Chen, Yifeng Huang, Xianfeng Lu and Jie Zhang

This paper aims to review the critical technology development of avian radar system at airports.

Abstract

Purpose

This paper aims to review the critical technology development of avian radar system at airports.

Design/methodology/approach

After the origin of avian radar technology is discussed, the target characteristics of flying birds are analyzed, including the target echo amplitude, flight speed, flight height, trajectory and micro-Doppler. Four typical airport avian radar systems of Merlin, Accipiter, Robin and CAST are introduced. The performance of different modules such as antenna, target detection and tracking, target recognition and classification, analysis of bird information together determines the detection ability of avian radar. The performances and key technologies of the ubiquitous avian radar are summarized and compared with other systems, and their applications, deployment modes, as well as their advantages and disadvantages are introduced and analyzed.

Findings

The ubiquitous avian radar achieves the long-time integration of target echoes, which greatly improves detection and classification ability of the targets of birds or drones, even under strong background clutter at airport. In addition, based on the big data of bird situation accumulated by avian radar, the rules of bird activity around the airport can be mined to guide the bird avoidance work.

Originality/value

This paper presented a novel avian radar system based on ubiquitous digital radar technology. The authors’ experience has confirmed that this system can be effective for airport bird strike prevention and management. In the future, the avian radar system will see continued improvement in both software and hardware, as the system is designed to be easily extensible.

Details

Aircraft Engineering and Aerospace Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 21 December 2021

Yunpu Zhang, Gongguo Xu and Ganlin Shan

Continuous and stable tracking of the low-altitude maneuvering targets is usually difficult due to terrain occlusion and Doppler blind zone (DBZ). This paper aims to…

Abstract

Purpose

Continuous and stable tracking of the low-altitude maneuvering targets is usually difficult due to terrain occlusion and Doppler blind zone (DBZ). This paper aims to present a non-myopic scheduling method of multiple radar sensors for tracking the low-altitude maneuvering targets. In this scheduling problem, the best sensors are systematically selected to observe targets for getting the best tracking accuracy under maintaining the low intercepted probability of a multi-sensor system.

Design/methodology/approach

First, the sensor scheduling process is formulated within the partially observable Markov decision process framework. Second, the interacting multiple model algorithm and the cubature Kalman filter algorithm are combined to estimate the target state, and the DBZ information is applied to estimate the target state when the measurement information is missing. Then, an approximate method based on a cubature sampling strategy is put forward to calculate the future expected objective of the multi-step scheduling process. Furthermore, an improved quantum particle swarm optimization (QPSO) algorithm is presented to solve the sensor scheduling action quickly. Optimization problem, an improved QPSO algorithm is presented to solve the sensor scheduling action quickly.

Findings

Compared with the traditional scheduling methods, the proposed method can maintain higher target tracking accuracy with a low intercepted probability. And the proposed target state estimation method in DBZ has better tracking performance.

Originality/value

In this paper, DBZ, sensor intercepted probability and complex terrain environment are considered in sensor scheduling, which has good practical application in a complex environment.

Open Access
Article
Publication date: 9 November 2021

Thuy Hang Duong

Inflation targeting has increasingly become a popular monetary framework since its first introduction in New Zealand at the beginning of 1990. However, the causality…

Abstract

Purpose

Inflation targeting has increasingly become a popular monetary framework since its first introduction in New Zealand at the beginning of 1990. However, the causality effects of this policy on economic performance, particularly in periods of economic turmoil remain controversial. Thus, this paper re-examines the treatment effect of inflation targeting on two important macro indicators which are inflation rate and output growth with the focus on emerging market economies. The global financial crisis, which is known as the great recession since the last decade, is investigated as an exogenous shock to test for the effectiveness of this popular regime.

Design/methodology/approach

The difference-in-difference approach in the fixed-model is employed for this investigation using a balanced panel data of 54 countries with 15 inflation-targeting countries for the period 2002 to 2010.

Findings

The examination finds that there is no significant difference in terms of the inflation rate and gross domestic product growth over the whole research period between the treatment and control groups. However, the outcome suggests that emerging economies can control the increase in inflation rate when the economy has to cope with the exogenous uncertainties.

Research limitations/implications

This finding indicates important policy implications for central banks in many countries.

Originality/value

Inflation targeting can help emerging countries to reduce an increase in inflation rate in the crisis period without many trade-offs in the growth of output.

Details

Asian Journal of Economics and Banking, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2615-9821

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Article
Publication date: 15 November 2021

Xin Xu

The purpose of this study is to address the limitations of existing target group distribution pattern analysis methods and identify subtle distribution differences within…

Abstract

Purpose

The purpose of this study is to address the limitations of existing target group distribution pattern analysis methods and identify subtle distribution differences within and between the groups with no pre-specified distribution features. Classical work generally concentrates on either the group distribution tendency or shape as a whole and simply ignores the subtle distribution differences within the group. Other work is constrained to pre-defined spatial distribution features.

Design/methodology/approach

This study proposes a novel algorithm for target group distribution pattern analysis. This study first transforms the group distribution data with uncertain measurements into a distributional image. Upon that, a bagged convolutional neural network model is constructed to discriminate the delicate group distribution patterns.

Findings

Experimental results indicate that our method is robust to target missing and location variance and scalable with dataset size. Our method has outperformed the benchmark machine learning methods significantly in pattern identification accuracy.

Originality/value

Our method is applicable for complex unmanned aerial vehicle distribution pattern identification.

Details

Aircraft Engineering and Aerospace Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1748-8842

Keywords

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Article
Publication date: 28 October 2021

Joaquim Vasconcelos Reinolds de Sousa and Pedro Gamboa

The purpose of this paper is to generate optimised trajectories for an unmanned aerial vehicle (UAV) during a forest fire detection mission. It is assumed that the UAV…

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Abstract

Purpose

The purpose of this paper is to generate optimised trajectories for an unmanned aerial vehicle (UAV) during a forest fire detection mission. It is assumed that the UAV flies 3D curvature-constrained Dubins manoeuvres and has a limited amount of battery energy that prevents it from covering the entire search area in a single trip.

Design/methodology/approach

In this paper, the search area is discretised into a grid of multiple targets, and each target assigned with a score that is proportional to the time elapsed since the last UAV visit. This problem, known as Dubins Airplane Orienteering Problem, consists of finding the number and order of targets to visit and the UAV heading at each target that maximises the total trip score without exceeding the UAV battery energy. The solution is found using the Randomised Variable Neighbourhood Search metaheuristic. All target scores are updated after each trajectory generation according to the elapsed time since the last UAV visit.

Findings

The proposed approach produced feasible results when generating optimised trajectories for a fire detection mission context where energy battery constraints are important.

Practical implications

The authors carry out the planning of UAV missions with limited amounts of onboard energy such as a real fire detection mission using a single electric propulsion and fixed-wing UAV.

Originality/value

This paper introduces an energy-based approach to the Dubins Airplane Orienteering Problem, which takes into account the UAV performance and energy budget when generating optimised trajectories.

Details

Aircraft Engineering and Aerospace Technology, vol. 94 no. 2
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 23 November 2021

Lakshmi M. Kavitha, Rao S. Koteswara and K. Subrahmanyam

Marine exploration is becoming an important element of pervasive computing underwater target tracking. Many pervasive techniques are found in current literature, but only…

Abstract

Purpose

Marine exploration is becoming an important element of pervasive computing underwater target tracking. Many pervasive techniques are found in current literature, but only scant research has been conducted on their effectiveness in target tracking.

Design/methodology/approach

This research paper, introduces a Shifted Rayleigh Filter (SHRF) for three-dimensional (3 D) underwater target tracking. A comparison is drawn between the SHRF and previously proven method Unscented Kalman Filter (UKF).

Findings

SHRF is especially suitable for long-range scenarios to track a target with less solution convergence compared to UKF. In this analysis, the problem of determining the target location and speed from noise corrupted measurements of bearing, elevation by a single moving target is considered. SHRF is generated and its performance is evaluated for the target motion analysis approach.

Originality/value

The proposed filter performs better than UKF, especially for long-range scenarios. Experimental results from Monte Carlo are provided using MATLAB and the enhancements achieved by the SHRF techniques are evident.

Details

International Journal of Pervasive Computing and Communications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 1 July 1977

A.M Forbes

Throughout the world of the Less Developed Countries (LDC’s) there exists a complex maze of export promotion and incentive schemes which reflect the mental agility of…

Abstract

Throughout the world of the Less Developed Countries (LDC’s) there exists a complex maze of export promotion and incentive schemes which reflect the mental agility of economists, lawyers and legislators, in providing special favours and benefits for the export sector.

Details

European Journal of Marketing, vol. 11 no. 7
Type: Research Article
ISSN: 0309-0566

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Article
Publication date: 1 January 1992

D.E. Allen

This paper features a study of the dividend policies of the larger listed British companies. It focusses on the sample companies' usage of target payout ratios. A company…

Abstract

This paper features a study of the dividend policies of the larger listed British companies. It focusses on the sample companies' usage of target payout ratios. A company with a target payout is defined as one which has a policy of attempting to pay out a fixed proportion of available earnings as dividends. In particular, it examines the extent of the usage of explicit target payouts, the range of target payouts adopted and the frequency of changes in such targets. It also examines the factors which are perceived to have an influence on the company's choice of these targets. Finally, it extends and parallels previous work by Partington (1984) on the use of target payouts by Australian companies.

Details

Managerial Finance, vol. 18 no. 1
Type: Research Article
ISSN: 0307-4358

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Article
Publication date: 1 December 2004

R. Gandhinathan, N. Raviswaran and M. Suthakar

Globalization has provided excellent opportunities for the global manufacturing community together with a stringent barrier on cost control. Target costing has emerged as…

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Abstract

Globalization has provided excellent opportunities for the global manufacturing community together with a stringent barrier on cost control. Target costing has emerged as one of the main tools in aiding the manufacturers to be globally competitive. This paper analyses the effect of tools such as quality function deployment (QFD) and value engineering (VE) on target costing and explores the way in which these tools assist in achieving the target cost. The target costing model developed by Cooper and Slagmulder (Cooper, R. and Slagmulder, R., Target Costing and Value Engineering, Productivity Press, New York, NY, 1997) has been modified and tools such as QFD and VE have been incorporated in the model. Due to inherent uncertainties in the associated cost of various elements, the model has been further strengthened with the use of fuzzy logic. The theoretical model developed was implemented in an Indian auto component manufacturing company and the results were analysed. Target costing significantly relies upon QFD and VE for its effective implementation. Uncertainty in cost estimation plays a significant role in the target costing process since any variation in cost violates the cardinal rule of target costing, “the target cost should never be exceeded”. Fuzzy logic plays a vital role in accounting for uncertainty in the target costing process and gives a different perspective to arrive at the function cost. A functional approach (VE) combined with QFD backed by fuzzy approach appears to work effectively for a target costing process that is evidenced from the case study. It appears that the model developed will work satisfactorily for an industrial product and the validity of the model for fast moving consumer goods has to be ascertained.

Details

International Journal of Quality & Reliability Management, vol. 21 no. 9
Type: Research Article
ISSN: 0265-671X

Keywords

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