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The purpose of this paper is to propose a seamless autonomous navigation method based on the motion constraint of the mobile robot, which is able to meet the practical need of maintaining the navigation accuracy during global positioning system (GPS) outages.

The seamless method uses the motion constraint of the mobile robot to establish the filter model of the system, in which the virtual observation about the speed is used to overcome the shortage of the navigation accuracy during GPS outages. The corresponding motion constraint model of the mobile robot is established. The proposed seamless navigation scheme includes two parts: the micro inertial navigation system (MINS)/GPS-integrated filter model and the motion constraint filter model. When the satellite signals are good, the system works on the MINS/GPS-integrated mode. If some obstacles block the GPS signals, the motion constraint measurement equation will be effective so as to improve the navigation accuracy of the mobile robot.

Three different vehicle tests of the mobile robot show that the seamless navigation method can overcome the shortage of the navigation accuracy during GPS outages, so as to improve the navigation performance in practical applications.

A seamless navigation system based on the motion constraint of the mobile robot is proposed to overcome the shortage of the navigation accuracy during GPS outages, thus improving the adaptability of the robot navigation.

Cities lying within conflict zones have continually faced hardships of both war aftermath and long-term sustainable reconstruction. Challenges have surpassed the typical question of recovery from post-conflict trauma, preserving urban heritage and iconic elements of the built environment, to face issues of critical decision making, rebuilding effectiveness and funding mechanisms, leading to time-consuming processes that lack adequate consistent long-term management. Some approaches have explored methods of effective long-term city reconstruction management but have not fully developed comprehensive approaches that alleviate the management of such complex processes. The paper aims to discuss these issues.

The authors devise an approach for the smart management of post-conflict city reconstruction. The authors focus on evaluation, strategic planning, reconstruction projects and implementation. The authors integrate building information modeling and geographic/geospatial information systems in a platform that allows for real-time analysis, reporting, strategic planning and decision making for managing reconstruction operations and projects among involved stakeholders including government agencies, funding organizations, city managers and public participants.

The approach suggested a smart management system for the reconstruction process of post-conflict cities. Implementing this system was shown to provide a multi-objective solution for post-conflict city reconstruction based on its interlinked modules.

Results may lack generalizability and require testing on several cases to provide rigorous findings for different case studies.

Implications include developing smart management systems for use by city managers and government authorities in post-conflict zones, as well as bottom-up decision making by including participant citizens especially populations in the diaspora.

The approach offers an integrated platform that informs city reconstruction decision makers, allowing for strategic planning tools for efficient planning, monitoring tools for continuous management during and after reconstruction, and effective platforms for communication among all stakeholders.

The purpose of this paper is to discuss an integrated decision analysis framework for the investment justification of implementing alternative information and communication technology (ICT)-based logistics systems in the construction industry so as to enhance the decision-making process in selecting the best alternative.

An integrated framework is proposed that is composed of a set of interrelated evaluation and analysis techniques that allow the identification and quantification of costs, benefits and risks involved in implementing ICT systems to mitigate problems that hinder the efficient operation of construction logistics. Such techniques include decision trees and multi-attribute decision-making under uncertainty that can be applied to the logistics planning of any new build construction project.

The probabilities of providing benefits vary among the alternatives, and the probabilities will replace the uncertainties surrounding the impacts of the alternative ICT systems in addressing the identified construction logistics problems with chance events so as to estimate the expected cost of each alternative with respect to each selection attribute.

This paper shows that it is almost certain that the analysed alternative ICT system will provide benefit because its probability of benefit is almost equal to 1.

The framework captures the existing problems of logistics in construction process, potential solution that can address the problems through the implementation of ICT systems and the decision-making process in the selection of appropriate ICT solution. The output of the framework will help to make knowledge-based decision in selecting the best ICT system for addressing construction logistics problems.

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.

This paper aims to explore and review the potential of robotic rehabilitation as a treatment approach for Alzheimer’s disease (AD) and its impact on the health and quality of life of AD patients.

The present discourse endeavors to provide a comprehensive overview of extant scholarly inquiries that have examined the salience of inhibitory mechanisms vis-à-vis robotic interventions and their impact on patients with AD. Specifically, this review aims to explicate the contemporary state of affairs in this realm by furnishing a detailed explication of ongoing research endeavors. With the objective of elucidating the significance of inhibitory processes in robotic therapies for individuals with AD, this analysis offers a critical appraisal of extant literature that probes the intersection of cognitive mechanisms and assistive technologies. Through a meticulous analysis of diverse scholarly contributions, this review advances a nuanced understanding of the intricate interplay between inhibitory processes and robotic interventions in the context of AD.

According to the review papers, it appears that implementing robot-assisted rehabilitation can serve as a pragmatic and effective solution for enhancing the well-being and overall quality of life of patients and families engaged with AD. Besides, this new feature in the robotic area is anticipated to have a critical role in the success of this innovative approach.

Due to the nascent nature of this cutting-edge technology and the constrained configuration of the mechanized entity in question, further protracted analysis is imperative to ascertain the advantages and drawbacks of robotic rehabilitation vis-à-vis individuals afflicted with Alzheimer’s ailment.

The potential for robots to serve as indispensable assets in the provision of care for individuals afflicted with AD is significant; however, their efficacy and appropriateness for utilization by caregivers of AD patients must be subjected to further rigorous scrutiny.

This paper reviews the current robotic method and compares the current state of the art for the AD patient.

This paper aims to explore and discuss the impact of digital innovations from a business eco-systemic perspective. Key smart technology application themes in the cruise industry are extracted and synthesised in a “Smart Cruise Ecosystem” (SCE) framework.

Information communication technologies (ICTs) advancements and smart tools revolutionise interactions and affect all transactions, transforming the cruise experience. Gradually a Smart Cruise Ecosystem emerges by incorporating all technologies available and involving cruise passengers, who as smart actors interact dynamically with stakeholders, creating value before, during and after the cruising experience. The COVID-19 pandemic outbreak stressed the need for touchless and digital interactions as well as real-time information, fast-tracking the deployment of smart technologies. The diffusion of ICTs in the cruise industry is multi-faceted and dynamic, resulting in a number of smart-technology use-cases.

Smart technology constitutes a comprehensive smart ecosystem to manage all actors, controls, devises and systems to optimise ship operations and management, while co-creating value for guests and crew in an effective way. The multiplex SCE proposed is enabled by digital technologies collecting, storing, accessing and processing big data dynamically, including: object detection, Internet of Things, Internet of Everything, satellite communications, Big Data, automation, robotics, Artificial Intelligence and Machine Learnin, Cloud Computing, Augmented, Virtual and Mixed Reality. A range of interoperable and interconnected supporting systems form the basis of the smart ecosystem.

The proposed framework offers a holistic perspective of the smart-cruising domain, highlighting innovations, interfaces, dependencies, along with the corresponding key limitations and challenges. The synthesis and conceptual structure provided serves as a topology for guiding and connecting further research in smart cruising.

本文从商业生态系统的角度探索和讨论了数字创新的影响。在“智能邮轮生态系统”框架中提取和综合邮轮行业的关键智能技术应用主题

信息通信技术 (ICT) 的进步和智能工具彻底改变了交互并影响所有交易, 从而改变了邮轮体验。通过整合所有可用技术并让邮轮乘客参与其中, 智能邮轮生态系统逐渐出现, 他们作为聪明的参与者与利益相关者动态互动, 在巡航体验之前、期间和之后创造价值。 COVID19 大流行的爆发强调了对非接触式和数字化交互以及实时信息的需求, 以快速跟踪智能技术的部署。信息通信技术在邮轮行业的传播是多方面的和动态的, 产生了许多智能技术用例

智能技术构成了一个全面的智能生态系统, 用于管理所有参与者、控制、设计和系统, 以优化船舶运营和管理, 同时以有效的方式与用户和船员共同创造价值。提出的多元智能巡航生态系统（SCE）由数字技术实现, 包括物体检测、物联网、卫星通信、大数据、自动化、机器人、人工智能、云计算、AR、VR, 动态收集、访问和处理大数据。一系列可互操作和互连的支持系统构成了智能生态系统的基础。

本研究提议的理论框架提供了智能巡航领域的整体视角, 突出了创新、接口和依赖关系, 以及相应的关键限制和挑战。所提供的综合和概念结构用于指导和连接智能领域的进一步研究提供划分类型。

The purpose of this paper is to achieve accurate integrated navigation results for the unmanned aerial vehicle (UAV) systems even in the presence of possible navigation faults in the subsystems of the federated Kalman filter.

The federated Kalman filter is modified from two aspects to get accurate navigation results under abnormity. First, time-variant vector distribution coefficients trading off the navigation accuracy and the observability degree of each state component are computed to replace the traditional scalar coefficients. Second, a fault-tolerant filter is proposed as the local navigation filter.

Simulations for the navigation of a UAV system show that the proposed method can be applied for accurate navigation purpose even in the presence of subsystem navigation faults.

New fault-tolerant federated Kalman filters for integrated navigation are presented to achieve accurate navigation solutions.

In recent years, aceted search has been a well-accepted approach for many academic libraries across the United States. This chapter is based on the author’s dissertation and work of many years on faceted library catalogs. Not to hope to be exhaustive, the author’s aim is to provide sufficient depth and breadth to offer a useful resource to researchers, librarians, and practitioners about faceted search used in library catalogs.

The chapter reviews different aspects of faceted search used in academic libraries, from the theory, the history, to the implementation. It starts with the history of online public access catalogs (OPACs) and how people search with OPACs. Then it introduces the classic facet theory and its relationship with faceted search. At last, various academic research projects on faceted search, especially faceted library catalogs, are briefly reviewed. These projects include both implementation studies and the evaluation studies.

The results indicate that most searchers were able to understand the concept of facets naturally and easily. Compared to text searches, however, faceted searches were complementary and supplemental, and used only by a small group of searchers.

The author hopes that the facet feature has not only been cosmetic but the answer to the call for the next generation catalog for academic libraries. The results of this research are intended to inform librarians and library information technology (IT) staff to improve the effectiveness of the catalogs to help people find information they need more efficiently.