Search results

Regarding the important roles of accuracy and robustness of tightly-coupled micro inertial measurement unit (MIMU)/global navigation satellite system (GNSS) for unmanned aerial vehicle (UAV). This study aims to explore the efficient method to improve the real-time performance of the sensors.

A covariance shaping adaptive Kalman filtering method is developed. For optimal performance of multiple gyros and accelerometers, a distribution coefficient of precision is defined and the data fusion least square method is applied with fault detection and identification using the singular value decomposition. A dual channel parallel filter scheme with a covariance shaping adaptive filter is proposed.

Hardware-in-the-loop numerical simulation was adopted, the results indicate that the gain of the covariance shaping adaptive filter is self-tuning by changing covariance weighting factor, which is calculated by minimizing the cost function of Frobenius norm. With the improved method, the positioning accuracy with tightly-coupled MIMU/GNSS of the adaptive Kalman filter is increased obviously.

The method of covariance shaping adaptive Kalman filtering is efficient to improve the accuracy and robustness of tightly-coupled MIMU/GNSS for UAV in complex and dynamic environments and has great value for engineering applications.

A covariance shaping adaptive Kalman filtering method is presented and a novel dual channel parallel filter scheme with a covariance shaping adaptive filter is proposed, to improve the real-time performance in complex and dynamic environments.

At airport security checkpoints, baggage screening is aimed to prevent transportation of prohibited and potentially dangerous items. Observing the projection images generated by X-rays scanner is a critical method. However, when multiple objects are stacked on top of each other, distinguishing objects only by a two-dimensional picture is difficult, which prompts the demand for more precise imaging technology to be investigated for use. Reconstructing from 2D X-ray images to 3D-computed tomography (CT) volumes is a reliable solution.

To more accurately distinguish the specific contour shape of items when stacked, multi-information fusion network (MFCT-GAN) based on generative adversarial network (GAN) and U-like network (U-NET) is proposed to reconstruct from two biplanar orthogonal X-ray projections into 3D CT volumes. The authors use three modules to enhance the reconstruction qualitative and quantitative effects, compared with the original network. The skip connection modification (SCM) and multi-channels residual dense block (MRDB) enable the network to extract more feature information and learn deeper with high efficiency; the introduction of subjective loss enables the network to focus on the structural similarity (SSIM) of images during training.

On account of the fusion of multiple information, MFCT-GAN can significantly improve the value of quantitative indexes and distinguish contour explicitly between different targets. In particular, SCM enables features more reasonable and accurate when expanded into three dimensions. The appliance of MRDB can alleviate problem of slow optimization during the late training period, as well as reduce the computational cost. The introduction of subjective loss guides network to retain more high-frequency information, which makes the rendered CT volumes clearer in details.

The authors' proposed MFCT-GAN is able to restore the 3D shapes of different objects greatly based on biplanar projections. This is helpful in security check places, where X-ray images of stacked objects need to be distinguished from the presence of prohibited objects. The authors adopt three new modules, SCM, MRDB and subjective loss, as well as analyze the role the modules play in 3D reconstruction. Results show a significant improvement on the reconstruction both in objective and subjective effects.

Surface acoustic wave (SAW) sensors have attracted great attention worldwide for a variety of applications in measuring physical, chemical and biological parameters. However, stability has been one of the key issues which have limited their effective commercial applications. To fully understand this challenge of operation stability, this paper aims to systematically review mechanisms, stability issues and future challenges of SAW sensors for various applications.

This review paper starts with different types of SAWs, advantages and disadvantages of different types of SAW sensors and then the stability issues of SAW sensors. Subsequently, recent efforts made by researchers for improving working stability of SAW sensors are reviewed. Finally, it discusses the existing challenges and future prospects of SAW sensors in the rapidly growing Internet of Things-enabled application market.

A large number of scientific articles related to SAW technologies were found, and a number of opportunities for future researchers were identified. Over the past 20 years, SAW-related research has gained a growing interest of researchers. SAW sensors have attracted more and more researchers worldwide over the years, but the research topics of SAW sensor stability only own an extremely poor percentage in the total researc topics of SAWs or SAW sensors.

Although SAW sensors have been attracting researchers worldwide for decades, researchers mainly focused on the new materials and design strategies for SAW sensors to achieve good sensitivity and selectivity, and little work can be found on the stability issues of SAW sensors, which are so important for SAW sensor industries and one of the key factors to be mature products. Therefore, this paper systematically reviewed the SAW sensors from their fundamental mechanisms to stability issues and indicated their future challenges for various applications.

The purpose of this paper is to provide a framework to help business marketers with online and traditional retail channels (multi‐channel retailers) to find the optimal branding strategy and market structure in order to maximize their profits.

A game‐theoretic model is developed to determine the optimal branding strategy and market structure for the dual‐channel stores of a multi‐channel retailer.

The paper demonstrates that an optimal branding strategy and market structure exists for the dual‐channel stores of a multi‐channel retailer. When a retailer uses multiple channels in parallel to sell its product, the optimal branding strategy is to employ as large as possible brand differentiation between the dual‐channel stores, particularly when the price is less sensitive for consumers and the market base size is larger. Furthermore, it is also found that the optimal market structure is the Stackelberg mode, especially when the product brands between the two channels are less differentiated.

The present study assumed that all information is known to both the online and traditional channels of a multi‐channel retailer. However, information could be incomplete. It is recommended that future research explore the value of product brand differentiation under incomplete information settings.

The paper provides a very useful model framework, branding strategy, and market structure for business managers who are using or planning to use multiple channels to sell their products.

This paper fills a conceptual and practical gap for a structured analysis of the current state of knowledge about multi‐channel branding strategies. The paper provides practical and solid advice and examples demonstrating the application of product brand differentiation strategies for business managers.

Although instability characterises export channels, little research has examined the interfirm evaluations that are related to a manufacturer′s continued use of export middlemen. In this research, a manufacturer′s evaluations of its international intermediary are divided into performance, dependence, and importance dimensions. Theoretical and empirical literatures are used to frame hypotheses linking each evaluative dimension to an aspect of the manufacturer′s channel design strategy. The results show that manufacturers′ evaluations of their middlemen are systematically related to the economic and organisational strategies used by manufacturers. The discussion draws important implications for managing the indirect export channel.

Distribution systems usually utilize both traditional retailing channels in conjunction with e-channels. The purpose of this paper is to investigate a dual-channel supply chain, comprising a traditional retailing channel and an e-channel under disruption. By benchmarking against the centralized decision structure, the authors intend to propose a collaboration model to achieve channel coordination as well as more reliable decisions.

Four different channel disruption scenarios, with customers’ reaction toward disruptions, are examined, and then, optimal pricing decisions for both centralized and decentralized decision-making structures are extracted. Next, a collaboration mechanism based on the dominancy power of channel members is developed to entice all channel members to participate in channel coordination. By benchmarking the proposed collaboration model against both the decentralized/centralized structures a win–win solution is guaranteed for all channel members. In addition, the proposed model ensures more reliable decisions than the centralized structure, as it guarantees less fluctuated income levels.

This study shows, as the disruption probability grows, the channel profit decreases while the channel-retailing price increases. Furthermore, the exact alignment of the centralized decision-making approach and the proposed collaboration model is not achievable due to the problem infeasibility. Numerical experiments and sensitivity analyses benchmark the performance of the proposed collaboration mechanism against the centralized structure for the full alignment with centralized decision-making approach.

This study contributes to the channel conflict literature as jointly considers pricing decisions, disruptions and coordination. Further, consumers’ reaction toward disruption is analyzed through a transshipment agreement.

This paper presents a routing method for two dimensional transputer arrays particularly designed for parallel non‐linear and dynamic finite element analysis. Some general routing strategies with their strengths and weaknesses are discussed. The need for problem specific routing algorithms in transputer systems is considered and the communication requirements for parallel finite element analysis described. From the communication requirements the design parameters for the routing method are specified and the architectural design of the Router presented. An example of the use of the Router in the parallel non‐linear finite element analysis is given and the robustness of the routing methodology is illustrated by using arbitrary mappings of finite element subdomains distributed over a transputer array.

The purpose of this paper is to analyze the coexistence of independent and manufacturer-owned distributors within the same distribution system. In particular, the authors seek to identify those factors that determine the use of dual distribution and the effect of dual distribution systems on different economic outcomes.

Using a case study-based approach, the authors compare different brands in different European markets of a German automobile manufacturer using 24 expert interviews in Germany, Sweden and Spain.

Our results demonstrate the importance of limited resources, investment specificity, location, divergent interests and competitive strategies for the development of dual distribution structures. The results show that the overall distribution system performance is positively related to dual distribution.

The generalizability of the findings is limited due to the use of cases for different brands of one large corporation within a specific industry and the limited number of countries that were examined. This study is also limited to the subjective evaluation of firm performance and the qualitative evidence provided by the interviewees in our sample group. Our study contributes to the ongoing debate on the use of independent and manufacturer-owned distributors among distributive vertical chains. Based on the qualitative findings, propositions for future research and managerial implications are provided.

While in previous research, the explanatory approach of make-or-buy has often been used for examining dual distribution, the authors combine insights from different theoretical streams (transaction cost theory, market-based view, resource-based view and principal-agent theory) to identify and empirically investigate the antecedents and outcomes of dual distribution. Furthermore, while prior research focused on single-country studies and franchise systems, the authors examine a multi-country sample in the automobile industry and expand the findings of the existing literature by covering different brands.

The aim of this chapter is to investigate the transformations undergone by dual marketers in their marketing strategies, with the advent of new digital tools. In particular, the chapter wants to emphasise the shift from a dual marketing perspective to the omnichannel approach, based on the integration of communication strategies between business-to-business (B2B) and business-to-consumer (B2C). To this end, the chapter first analyses the theoretical contribution of the integrated marketing communication paradigm in omnichannel marketing. Then, identifying the characteristics common to the B2B and B2C markets, it maps the use of touchpoints and digital content in the dual marketers' omnichannel strategies. Moreover, the role of online personalised marketing and big data analytics tools is illustrated in order to investigate the relationship between dual marketing and big data analytics towards Industry 4.0. Lastly, the dynamics and the perspectives emerged from the literature are traced within the case study of Unicredit Italia to try to bring out the best practices for an omnichannel strategy of dual marketers.