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This work aims to combine the cloud robotics technologies with deep reinforcement learning to build a distributed training architecture and accelerate the learning procedure of autonomous systems. Especially, a distributed training architecture for navigating unmanned aerial vehicles (UAVs) in complicated dynamic environments is proposed.

This study proposes a distributed training architecture named experience-sharing learner-worker (ESLW) for deep reinforcement learning to navigate UAVs in dynamic environments, which is inspired by cloud-based techniques. With the ESLW architecture, multiple worker nodes operating in different environments can generate training data in parallel, and then the learner node trains a policy through the training data collected by the worker nodes. Besides, this study proposes an extended experience replay (EER) strategy to ensure the method can be applied to experience sequences to improve training efficiency. To learn more about dynamic environments, convolutional long short-term memory (ConvLSTM) modules are adopted to extract spatiotemporal information from training sequences.

Experimental results demonstrate that the ESLW architecture and the EER strategy accelerate the convergence speed and the ConvLSTM modules specialize in extract sequential information when navigating UAVs in dynamic environments.

Inspired by the cloud robotics technologies, this study proposes a distributed ESLW architecture for navigating UAVs in dynamic environments. Besides, the EER strategy is proposed to speed up training processes of experience sequences, and the ConvLSTM modules are added to networks to make full use of the sequential experiences.

Previous studies have rarely integrated the financing modes of a capital-constrained manufacturer with the choices of online sales strategies. To address this gap, the authors study how a manufacturer selects optimal financing modes under different sales strategies in three dual-channel supply chains.

This paper considers three sales strategies, namely, combining a traditional retailer channel with one of the direct selling, reselling and agency selling channels, and two common financing modes, namely, bank financing and retailer financing. The authors obtain equilibrium outcomes of the manufacturer and traditional retailer and then provide the conditions for them to select optimal financing modes under three sales strategies.

The results indicate that the manufacturer’s financing decisions rely on the initial capital and interest rates, and the manufacturer selects retailer financing only if the initial capital is relatively larger. In terms of financing mode options, the retailer financing mode is more beneficial for the manufacturer under the three sales strategies. From the perspective of sales strategies, the direct selling model is more beneficial. In addition, the higher the consumer acceptance of the online channel, the more profits the manufacturer obtains.

This paper provides suggestions on how the capital-constrained manufacturer chooses financing modes and sales strategies.

This paper integrates the financing mode and different sales strategies to investigate the manufacturer’s optimal operational decisions. These sales strategies allow us to investigate the manufacturer’s optimal financing modes in the presence of both different financing modes and sales strategies.

To explore the relationship between emergent user roles and perceived importance of user requirements in a social‐oriented community.

A field study was designed to uncover hidden online social networks, and to elicit and rate user requirements.

User roles might have an impact on their perceptions of requirements. The study showed that significant differences of perceptual requirements on regulation and links exist across user roles.

Only a small‐sized online community (approximately 300 members) participated in this study. One‐quarter of the population filled out the online survey.

Online community builders should invite a handful of different user roles to participate in the design and evolutionary processes of information systems.

The paper challenges popular views about the design of online communities.

This study aims to improve the tribological performance of Babbitt alloy under oil lubricant condition. Thus, the surface was treated into oleophobic state by modifying with low surface energy fluorosilane (1H,1H,2H,2H-perfluorodecyltriethoxysilane). It is believed that the oleophobic surface offered excellent wear resistance of Babbitt-based tribo-pairs.

By modifying the Babbitt alloy with low surface energy fluorosilane and measuring the oil contact angle, the wetting behavior was evaluated. Using Pin on Disk tribometer, the tribological properties of bare Babbitt and modified Babbitt were quantified. The samples after the friction test were characterized by scanning electron microscope (SEM) and the anti-wear performance was evaluated under dry and oil lubrication conditions.

Results showed that oil contact angle of modified Babbitt was109° which was tripled compared to that of prime surface, which indicates the oleophobic behavior was greatly improved. Under dry conditions, the friction coefficient of the modified surface with different load conditions is slightly lower than that of the bare surface, while the friction coefficient of the modified surface under lubrication conditions is significantly decreased compared to that of the bare surface. Interestingly, under low load and high load, the wear rate of the modified Babbitt alloy surface is only 1/4 and 1/3 of that of the bare surface, respectively.

The work proposed an effective method to improve the Babbitt tribological performances and will lighten future ideas for the Babbitt alloy bearing with high wear resistance, which is beneficial to improve the service life of sliding bearings and has huge promotion and application value in the manufacture of sliding bearings.

Ports have played an important role in the history of Indian trade as they had always been the poles of international trade and commerce since colonial times. They had also acted as a catalyst for the economic development of the nations from historic times till now. Despite the tremendous growth of various other major modes of transport systems such as railways, roadways in case of land routes for internal trade and airways for external trade, ports still continue to coexist with them mainly in sea-borne exchange of goods both in internal as well as in external trade of India. This chapter studies the impact of globalization on economic development of India through the maritime trade growth at Major ports, being the sustainable transport mode, during the period (1980–2020). Using econometric and statistical tools it observes that Major ports have played a significant role in growth of sustainable transport and trade development within India, since the colonial times till date. Not only that, positive impact of globalization, (in terms of growth of trade globalization index) also have resulted both in increased volume of total and overseas trade performance in overall growth of international trade at Major ports of India, thus, reflecting higher economic development.

Globalization is a process of interaction and integration among the countries, their people, their businesses, and their governments. It is a change driven by international trade, implemented by various policies and aided by modern technology. It has impacts on the environment, culture, political systems, economic development and prosperity, and human physical well-being in societies around the world. But there can be some negative impacts as well. One possible outcome of globalization of all sorts can be the income inequalities. Objective of this chapter is to search for any such connection. Gini coefficient, unemployment rate, Below Poverty Line (BPL) is taken to understand the extent of inequalities in different countries. Outcome shows some countries do not show any association between globalization and income inequalities; some do. Therefore, there are some other variables which influence the above relationship. This chapter tries to identify all such background factors. It reveals that factors like level of development, demographic structure, urbanization, adult and tertiary level of education and government expenditure share in higher education play important roles. All these have different magnitudes of impacts on change in income distribution due to the initial process of globalization.

Achieving Sustainable Developments Goals (SDGs) is main agenda of any democratic government. The demand for needs of the society is increasing day by day due to increasing globalization and rapid transformation in all spheres of the society, and as a result, agriculture has shifted from a situation where food is primarily considered as a national concern with high self-sufficiency goals to a situation, where food can be traded subject to high degree of vertical integration of value chain. This study attempts to examine first, how far the state Tripura has developed toward to achieving its SDGs; so that Central dependency of the state would be reduced; second, the impact of globalization on its sustainable development; and, third, the possibility of development in different sectors of the economy toward fulfilling the SDGs through globalization. It observes that the state is in the take-off stage; it needs to go long way to make it developed. The state has lot of potentialities for its sustainable development.

The purpose of this paper is to numerically model electro‐osmotic flow (EOF), Joule heating and heat transfer in a channel filled with an electrolyte and to introduce a consistent non‐dimensional scaling.

The finite element method along with a fractional step method is employed. Empirical relations for temperature dependent viscosity, electrical and thermal conductivities are also employed. Unstructured meshes are used in the numerical calculations.

The consistent scaling introduced in the present study is a better and easier way of modelling Joule heating effects in EOF.

The non‐dimensional scaling proposed is novel and consistent. The novelty is also introduced in the solution procedure as this is used for the first time to tackle EOF with Joule heating and conjugate heat transfer.

The purpose of this study is to determine the effect of two types of negative ties, namely perceived negative ties and intended negative ties, on the two types of employee work outcomes, namely job performance and ethical voice. In addition, the chapter discusses the role of personal reputation as a mediator in explaining the relationship between negative ties and work outcomes. The study sample comprised of 103 blue-collar workers and their direct supervisors in a large cement factory in southern Iraq. The study used survey method as a mean to collect the data. Data analysis showed that perceived negative ties and intended negative ties influence participants’ job performance and ethical voice. The result also indicates that personal reputation mediates the relationship between negative ties and work outcomes. In light of the results, theoretical and practical implications are presented.

This chapter explores collective information processing among black-hat hackers during their crises events. The chapter presents a preliminary study on one of Tor-based darknet market forums, during the shutdowns of two cryptomarkets. Content and network analysis of forum conversations showed that black-hat users mostly engaged with rational information processing and were adept at reaching collective solutions by sharing security advices, new market information, and alternative routes for economic activities. At the same time, the study also found that anti-social and distrustful interactions were aggravated during the marketplace shutdowns. Communication network analysis showed that not all members were affected by the crisis events, alluding to a fragmented network structure of black-hat markets. The chapter concludes that, while darknet forums may constitute resilient, solution-oriented users, market crises potentially make the community vulnerable by engendering internal distrust.