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Aims to provide a new wireless design for utility management and billing systems using GSM networks that can be used by large utility sites.

Traditional energy and water meters are replaced or enhanced to produce digital readings. A hardware interface is designed and then connected via the GSM network to a server at the utility headquarters. The new system is compared with traditional utility systems.

A prototype for the proposed systems was implemented. It was tested using a real GSM network in the United Arab Emirates. The performance of the systems was acceptable, with high accuracy results when compared with the existing systems.

Applying the system in large buildings with multiple subscribers is not a straightforward task; the system may need some modifications.

This is a very useful system for utility companies which are interested in better management and billing systems. The system can be implemented easily at low cost.

This work utilizes a mobile network to provide a practical system for utility companies. It is an integrated system with complete hardware, software, and database implementation.

This chapter summarizes the growing theoretical and empirical literature on the role of education in disaster risk reduction with a focus on Southeast Asia. Education and learning can take place in different environments in more or less formalized ways. They can influence disaster vulnerability in direct and indirect ways. Directly, through education and learning, individuals acquire knowledge, abilities, skills and perceptions that allow them to effectively prepare for and cope with the consequences of disaster shocks. Indirectly, education gives individuals and households access to material, informational and social resources which can help reduce disaster vulnerability. This chapter highlights central concepts and terminologies and discusses the different theoretical mechanisms through which education can support disaster risk reduction. Supportive empirical evidence is presented and discussed with a particular focus on the role of inclusiveness in education and challenges in achieving universal access to high-quality education. Based on a situation analysis and best practice cases, policy implications are derived that can inform the design and implementation of education and learning-based disaster risk reduction efforts in the region.

This paper aims to comprise the new ideas for the efficient implementation to autonomous mobile robot navigation over the complex environment in presence of static obstacles.

The fuzzy decision via probability and its distribution is applied for the generating objective function subject to the robotics path and obstacle avoidance. The present objective function is formed to achieve high level of significance for the real-time obstacle avoidance and the efficiency.

The proposed controller makes a robot take its decision effectively in complex environment in a feasible time. In comparison with other AI approaches the proposed controller reflects that the proposed method outperforms in terms of optimal path and quality of solution. The experimental and simulation results are nearly same.

It has been tested in a complex crowded environment to find shorter path than existed approaches. For the validation, the experimental and simulation result using Matlab Software (R2008) has provided at the end of the paper.

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.

The purpose of this paper is to examine a multidimensional model of marketing culture and performance in tourism restaurants operating in Jordan. The paper introduces a model proposing certain associations between Webster’s (1990) marketing culture dimensions and attempts to underline how such associations affect restaurants’ performance.

A structured and self-administered survey was used, targeting managers and employees of tourism restaurants operating in Jordan. A sample of 334 tourism restaurants’ managers and employees were involved in the survey. A series of exploratory and confirmatory factor analyses were used to assess the research constructs dimensions, unidimensionality, validity and composite reliability. Structural path model analysis was also used to test the hypothesised interrelationships of the research model.

The empirical findings indicate that the marketing culture dimensions are seven rather than six, as proposed by Webster’s (1990) original model: service quality, interpersonal relationships, management–front-line interaction, selling task, organisation, internal communication and innovativeness. “Organisation” had positively and significantly affected “interpersonal relationships”. “Interpersonal relationships” had positively and significantly affected each of “management–front-line interaction”, “selling task” and “internal communications”. On the other hand, each of “management–front-line interaction”, “selling task” and “internal communications” had positively and significantly affected “innovativeness”. However, “innovativeness” itself had positively and significantly affected each of “service quality” and restaurant performance. Finally, “service quality” had positively and significantly affected restaurants’ performance.

Only seven dimensions of marketing culture were examined; meanwhile, there could also be other dimensions that affect restaurants’ performance. This paper has also examined the effect of a multidimensional model of marketing culture on restaurants’ financial performance only; the use of other types of non-financial measures could yield different results. The fact that paper’s sample consisted only of Jordanian restaurants further limits its generalisation potential.

The paper reinforces the importance of sound marketing culture to Jordanian tourism restaurants. It further underlines the importance of several marketing culture dimensions, particularly those related to employees’ selection, development and communication. Further, the paper emphasises the particular importance of front-office employees to the success of Jordanian restaurants. Tourism restaurants’ managers and executives can benefit from such findings for designing their marketing culture strategies to achieve long-term performance objectives.

This paper represents the first empirical attempt to examine the interrelationships between marketing culture dimensions introduced by Webster (1990). Accordingly, it should shed more light on the dynamics of marketing culture within service organisations, and how such dynamics affect organisations’ performance. Further, the paper is the first of its kind to study marketing culture dynamics in the context of Jordanian tourism restaurants industry. International tourism restaurants planning to expand their operations in Jordan’s tourism industry have now valuable empirical evidence concerning the marketing culture dimensions and their effect on performance.

This study concerns an on-line path planning technique for a behaviour-based wheeled mobile robot local navigation in an unknown environment with hurdles, using the feedforward back-propagation neural network sensor-actuator control technique. The purpose of this study is to find the non-collision path for the mobile robot moving towards the goal in a cluttered environment.

Neural network architecture input layers are the different hurdle distance information, which are acquired by an array of equipped sensors, and the output layer is the turning angle (motor control). In this way, the mobile robot is effectively being trained to move autonomously in the environment.

Computer simulation and real-time experimental results show that the proposed neural network controller can improve navigation performance in cluttered and unknown environments.

The proposed neural network controller gives better results (in terms of path length) as compared to previously developed models, which verifies the effectiveness of the proposed architecture.

Having Middle Eastern tourism industry as the context, this study aims to examine the impact of the four main dimensions within service innovation (i.e. product, process, organizational and marketing innovations) on tourist satisfaction; subsequently, towards the development of destination loyalty. Realized that religiosity prevails as an important social force that shapes individual behaviours, this study, hence, placed further assessment upon its moderating role, specifically in the relationships between tourist satisfaction and destination loyalty.

With adopting the approach of self-structured questionnaire, 214 usable responses had been collected for this study. Obtained data was then analyzed by conducting exploratory factor analysis, confirmatory factor analysis and multiple linear regression analysis through the usage of structural equation modelling.

Analysis of obtained data has revealed all the investigated dimensions within service innovation as active predictors to tourist satisfaction, with the exception of product innovation, while having marketing innovation being of highest significance. In turn, tourist satisfaction is found to greatly influence the formation of destination loyalty. Findings then provide notable indication on religiosity as a moderating factor to the proposed relationships within the investigated framework, between service innovation and tourist satisfaction, as well as tourist satisfaction and destination loyalty.

This study, thus, revealed the level of religiosity, particularly from the standpoint of Islamic perspectives, in playing a critical role towards predicting capability of service innovation on tourist satisfaction, and further, destination loyalty. Contributions hereby lie on theoretical and pragmatic insights concerning aspects of service and Islamic marketing within today’s tourism front.

The purpose of this paper is to investigate and report students’ perception of service quality in a university by examining the perceptual context of service quality with respect to students’ loyalty behavior, image of the university and culture/values.

A research framework is developed for quality assessment with three hypotheses. A questionnaire with 65 instruments was used for gathering the required data for the analysis. The questionnaire was sent through email to all engineering students. The analysis included descriptive statistics, reliability analysis, gap analysis and hypotheses tests. Seven dimensions of service quality were identified: the original dimensions of the SERVQUAL, namely, reliability, responsiveness, assurance, empathy and tangibles. Two additional dimensions image and culture/value were added for the research to understand perceived service quality and loyalty.

The results provide a significant positive correlation between service quality and student's loyalty. It also shows that there is statistically significant relation between the image of the institution and the perceived service quality, and culture/values of the students in the institution and perceived service quality.

This study used data collected from a survey in the university in a given period.

The findings indicate that to provide quality education, meeting students’ needs, wants and expectations of services quality should be carefully understood and addressed. Management also needs to consider factors such as corporate image and culture/value, as they have the ability to heavily impact the type of services provided by the institution.

The findings presented in this paper fill the gap in the current literature by providing empirical knowledge on the quality of service assessment and customer satisfaction in the higher education context. The study is the first of its kind in Qatar’s context and provides opportunities for higher institutions to focus more on current students’ services. This can lead to an increased brand value representing one of the premier institutes of higher education in the Middle East Gulf Region.

According to the Indian Sign Language Research and Training Centre (ISLRTC), India has approximately 300 certified human interpreters to help people with hearing loss. This paper aims to address the issue of Indian Sign Language (ISL) sentence recognition and translation into semantically equivalent English text in a signer-independent mode.

This study presents an approach that translates ISL sentences into English text using the MobileNetV2 model and Neural Machine Translation (NMT). The authors have created an ISL corpus from the Brown corpus using ISL grammar rules to perform machine translation. The authors’ approach converts ISL videos of the newly created dataset into ISL gloss sequences using the MobileNetV2 model and the recognized ISL gloss sequence is then fed to a machine translation module that generates an English sentence for each ISL sentence.

As per the experimental results, pretrained MobileNetV2 model was proven the best-suited model for the recognition of ISL sentences and NMT provided better results than Statistical Machine Translation (SMT) to convert ISL text into English text. The automatic and human evaluation of the proposed approach yielded accuracies of 83.3 and 86.1%, respectively.

It can be seen that the neural machine translation systems produced translations with repetitions of other translated words, strange translations when the total number of words per sentence is increased and one or more unexpected terms that had no relation to the source text on occasion. The most common type of error is the mistranslation of places, numbers and dates. Although this has little effect on the overall structure of the translated sentence, it indicates that the embedding learned for these few words could be improved.

Sign language recognition and translation is a crucial step toward improving communication between the deaf and the rest of society. Because of the shortage of human interpreters, an alternative approach is desired to help people achieve smooth communication with the Deaf. To motivate research in this field, the authors generated an ISL corpus of 13,720 sentences and a video dataset of 47,880 ISL videos. As there is no public dataset available for ISl videos incorporating signs released by ISLRTC, the authors created a new video dataset and ISL corpus.

Most existing studies are confined to model beam tests, which cannot reflect the actual strengthening effects provided by prestressed carbon-fiber-reinforced polymer (CFRP) plates to existing bridges. Hence, the actual capacity for strengthening existing bridges with prestressed CFRP plates is becoming an important concern for researchers. The paper aims to discuss these issues.

Static load tests of in-service prestressed concrete hollow slabs before and after strengthening are conducted. Based on the results of the tests, the failure characteristics, failure mechanism and bending performance of the slabs are compared and analyzed. Nonlinear finite element method is also used to calculate the flexural strength of the strengthened beams prestressed with CFRP plates.

Test results show that prestressed CFRP plate strengthening technology changes the failure mode of hollow slabs, delays the development of deflection and cracks, raises cracking and ultimate load-carrying capacity and remarkably improves mechanical behavior of the slab. In addition, the nonlinear finite element analyses are in good agreement with the test results.

Strengthening with prestressed CFRP plates has greater advantages compared to traditional CFRP plate strengthening technology and improves active material utilization. The presented finite element method can be applied in the flexural response calculations of strengthened beams prestressed with CFRP plates. The research results provide technical basis for maintenance and reinforcement design of existing bridges.