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Self-localization of an underwater robot using global positioning sensor and other radio positioning systems is not possible, as an alternative onboard sensor-based self-location estimation provides another possible solution. However, the dynamic and unstructured nature of the sea environment and highly noise effected sensory information makes the underwater robot self-localization a challenging research topic. The state-of-art multi-sensor fusion algorithms are deficient in dealing of multi-sensor data, e.g. Kalman filter cannot deal with non-Gaussian noise, while parametric filter such as Monte Carlo localization has high computational cost. An optimal fusion policy with low computational cost is an important research question for underwater robot localization.

In this paper, the authors proposed a novel predictive coding-biased competition/divisive input modulation (PC/BC-DIM) neural network-based multi-sensor fusion approach, which has the capability to fuse and approximate noisy sensory information in an optimal way.

Results of low mean localization error (i.e. 1.2704 m) and computation cost (i.e. 2.2 ms) show that the proposed method performs better than existing previous techniques in such dynamic and unstructured environments.

To the best of the authors’ knowledge, this work provides a novel multisensory fusion approach to overcome the existing problems of non-Gaussian noise removal, higher self-localization estimation accuracy and reduced computational cost.

This paper aims to study the localization problem for autonomous industrial vehicles in the complex industrial environments. Aiming for practical applications, the pursuit is to build a map-less localization system which can be used in the presence of dynamic obstacles, short-term and long-term environment changes.

The proposed system contains four main modules, including long-term place graph updating, global localization and re-localization, location tracking and pose registration. The first two modules fully exploit the deep-learning based three-dimensional point cloud learning techniques to achieve the map-less global localization task in large-scale environment. The location tracking module implements the particle filter framework with a newly designed perception model to track the vehicle location during movements. Finally, the pose registration module uses visual information to exclude the influence of dynamic obstacles and short-term changes and further introduces point cloud registration network to estimate the accurate vehicle pose.

Comprehensive experiments in real industrial environments demonstrate the effectiveness, robustness and practical applicability of the map-less localization approach.

This paper provides comprehensive experiments in real industrial environments.

The system can be used in the practical automated industrial vehicles for long-term localization tasks. The dynamic objects, short-/long-term environment changes and hardware limitations of industrial vehicles are all considered in the system design. Thus, this work moves a big step toward achieving real implementations of the autonomous localization in practical industrial scenarios.

This study examines the interactive effects of work values and organisational commitment on localisation.

This study draws on human capital theory, and reports on a survey of 200 expatriate managers working in Qatar.

We find that localisation is negatively associated with work values and positively associated with organisational commitment. Furthermore, work values appear to influence organisational commitment.

Despite a surfeit of literature on localisation of human resources, few studies previously have explored its relationship with work values and organisational commitment. This chapter presents empirical research on the issue from Qatar, a country in a region which remains under-researched in the literature.

Achieving localisation (the transfer of control to local actors) has proven extremely challenging in the development sector, and the humanitarian sector appears to be facing equal challenges. This chapter seeks to engage with that struggle and examine why this lesson has been so difficult to learn. Drawing on conference workshops and 10 key informant interviews, this paper examines the obstacles and opportunities for localisation, seeking to understand what makes it so hard for those who hold disproportionate power in humanitarian encounters to hand over power. The authors found a clear sense of localisation being a process rather than an outcome; optimism that momentum is slowly gathering towards this process, and a clear sense of the steps required to fully achieve it. Examining practitioners’ perspectives in this way adds an important voice to discussions of humanitarian practice.

To meet the rising global needs, the humanitarian community has signed off on making a strategic change toward more localisation, which commonly refers to the empowerment of national and local actors in humanitarian assistance. However, to this date, actual initiatives for localisation are rare. To enhance understanding of the phenomenon, the authors explore localisation of logistics preparedness capacities and obstacles to its implementation. The authors particularly take the perspective of the international humanitarian organisation (IHO) community as they are expected to implement the localisation strategy.

A phenomenon-driven, exploratory and qualitative study was conducted. Data collection included in-depth interviews with 28 experienced humanitarian professionals.

The findings showed the ambiguity inherent in the localisation strategy with largely different views on four important dimensions. Particularly, the interviewees differ about strengthening external actors or internal national/local offices. The resulting framework visualises the gap between strategy formulation and implementation, which forms major obstacles to the localisation aims.

Further research is required to support the advancement of localisation of logistics preparedness capacities. Important aspects for future research include triangulation of results, other stakeholder perspectives and the influence of context.

The authors add to the important debate surrounding localisation by offering remedies to overcoming obstacles to strategy implementation. Further, the authors’ proposed framework offers a language to precisely describe the ways in which IHOs (should) view localisation of logistics preparedness capacities and its operationalisation.

To the best of authors’ knowledge, this paper is the first academic article on localisation within the humanitarian logistics context.

Over the past two decades, building information modeling (BIM) has been promoted as one of the most disruptive innovations across the global architecture, engineering and construction (AEC) community. Nevertheless, despite its widely propagated benefits, BIM adoption in various localities is not progressing excitingly. BIM as an innovation developed from a presumed, general context may not fit well with the specific regulatory, social and cultural settings of a locality. This study aims to tackle the lukewarm local BIM adoption by developing a deployment framework for BIM localization.

Drawing upon the diffusion of innovation (DoI) theory, a longitudinal case study is designed and conducted by engaging closely with a top cost consultancy company in Hong Kong for forty-one months.

The findings refuted the “one-size-fits-for-all” view to use a standardized BIM for international users. Rather, an organization needs to undergo a series of localization works to integrate global BIM in its specific local context. The deployment framework outlines the BIM dimensions (i.e. technology, process and protocol) and the mechanisms (i.e. configuration, coupling and reinterpretation) of BIM localization that go through the three “A”s (i.e. analysis, adaption and assimilation) process under a firm's network and contextual factors.

This study improves our understanding of sluggish BIM adoption by attributing it to the gap between general BIM development and the local, unique BIM use context. Proposing the deployment framework, the study also offers a handy tool for prospective executives to localize BIM and harness its power in their respective organizations and localities.

This study aims to explore how a change in the staffing configuration of foreign subsidiaries affects subsidiary performance by focusing on staffing localization.

The relationship between localization and subsidiary performance is analyzed from the perspective of human capital. Hypotheses are tested using a panel data set of foreign direct investment by Japanese multinational enterprises.

The analysis demonstrates that localization has a positive effect on subsidiary performance when subsidiaries can access a pool of competent local managers in the host country. It also shows that when competent local managers are highly available, localization has a positive effect on subsidiary performance under high cultural distance. In comparison, when the availability of competent local managers is limited and cultural distance is high, localization has a negative effect on subsidiary performance.

Using human capital theory, this study theorizes how localization, which is a change in the configuration of human capital toward a reliance on local-specific human capital, enhances subsidiary-specific advantages. It introduces the effects of changes in the configuration of human capital over time, into studies on subsidiary staffing. In addition, from a different viewpoint than previous studies, this study proposes one possible path where human capital leads to organizational performance. Specifically, it shows that a change in the configuration of human capital affects subsidiary-specific advantages, which eventually impacts subsidiary performance.

Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.

This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.

Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.

The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.

The purpose of this paper is twofold: first, to understand Emirati nationals’ perceptions of the role of workforce localisation policies in their professional aspirations and growth and, second, to determine the role of higher education and job attributes in the achievement of their goals. The study uses a hierarchy-based model/road map to improve localisation efforts by attempting to aid understanding of the relationships and barriers hindering these processes.

The study follows a two-stage process. In the first stage, a questionnaire-based survey was administered to 207 Emirati postgraduate students from public and private universities based in two major Emirates: Abu Dhabi and Dubai. The sample data were analysed by basic descriptive statistics in the form of cross-relationships and rank correlation tests. In the second stage, an interpretive structural modelling approach was used to develop a hierarchy-based structural model of the barriers to localisation.

Emiratis younger than 30 years old consider localisation as an enabling factor in their professional success in contrast to those older than 30 years old. The results also indicate that working female Emiratis have significantly more positive attitudes regarding the contribution of localisation towards their professional success than that of their male counterparts. However, both genders see a mismatch in efforts being made to better equip themselves for the workplace. The hierarchy-based model delineates variables that could contribute to making localisation a successful employment programme in the United Arab Emirates (UAE).

The findings of this study relate to the UAE. However, there are similar localisation programmes that have been implemented in other Gulf Cooperation Council states. Hence, while the results of this study are relevant to the UAE, they may not be generalisable to the entire Gulf region.

It is proposed that the research findings and the structural model of relationships may help policy makers develop suitable strategies to strengthen the Emirati localisation programme.

This study makes a contribution to the literature and can serve as a guide to policy makers for localisation programmes. This is achieved by analysing the attitude of UAE nationals studying at higher education institutions. Furthermore, the study presents a hierarchy-based model of the barriers to localisation that explains the root causes of the problem.

The purpose of this paper is to develop a Biblical basis for localization as against globalization. This paper argues that the normative direction of Biblical thought is toward the localization of socio‐economic activity. A case study is made for the developing world today relevant to localization.

An evaluation is made of normative Biblical teaching that might have bearing on the localization of socio‐economic activity. How this teaching could apply to the contemporary developing world is assessed.

Normative Biblical teaching is oriented toward localization. This emphasis is capable of being applied in the developing world.

The case that normative Biblical teaching is in favour of localization rather then dispersal (and thereby globalization) has not been made previously. For those who believe that normative Biblical teaching has relevance today, the localization bias challenges the widespread acceptance of globalization.