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The main purpose of the paper is timing analysis of mixed critical applications on the multicore system to identify an efficient task scheduling mechanism to achieve three main objectives improving schedulability, achieving reliability and minimizing the number of cores used. The rise in transient faults in embedded systems due to the use of low-cost processors has led to the use of fault-tolerant scheduling and mapping techniques.

The paper opted for a simulation-based study. The simulation of mixed critical applications, like air traffic control systems and synthetic workloads, is carried out using a litmus-real time testbed on an Ubuntu machine. The heuristic algorithms for task allocation based on utilization factors and task criticalities are proposed for partitioned approaches with multiple objectives.

Both partitioned earliest deadline first (EDF) with the utilization-based heuristic and EDF-virtual deadline (VD) with a criticality-based heuristic for allocation works well, as it schedules the air traffic system with a 98% success ratio (SR) using only three processor cores with transient faults being handled by the active backup of the tasks. With synthetic task loads, the proposed criticality-based heuristic works well with EDF-VD, as the SR is 94%. The validation of the proposed heuristic is done with a global and partitioned approach of scheduling, considering active backups to make the system reliable. There is an improvement in SR by 11% as compared to the global approach and a 17% improvement in comparison with the partitioned fixed-priority approach with only three processor cores being used.

The simulations of mixed critical tasks are carried out on a real-time kernel based on Linux and are generalizable in Linux-based environments.

The rise in transient faults in embedded systems due to the use of low-cost processors has led to the use of fault-tolerant scheduling and mapping techniques.

This paper fulfills an identified need to have multi-objective task scheduling in a mixed critical system. The timing analysis helps to identify performance risks and assess alternative architectures used to achieve reliability in terms of transient faults.

In this study, an indoor sensor information fusion positioning system of the quadrotor unmanned aerial vehicle (UAV) was investigated to solve the problem of unstable indoor flight positioning.

The presented system was built on Light Detection and Ranging (LiDAR), Inertial Measurement Unit (IMU) and LiDAR-Lite devices. Based on this, one can obtain the aircraft's current attitude and the position vector relative to the target and control the attitudes and positions of the UAV to reach the specified target positions. While building a UAV positioning model relative to the target for indoor positioning scenarios under limited Global Navigation Satellite Systems (GNSS), the system detects the environment through the NVIDIA Jetson TX2 (Transmit Data) peripheral sensor, obtains the current attitude and the position vector of the UAV, packs the data in the format and delivers it to the flight controller. Then the flight controller controls the UAV by calculating the posture to reach the specified target position.

The authors used two systems in the experiment. The first is the proposed UAV, and the other is the Vicon system, our reference system for comparison purposes. Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.

Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.

The purpose of this paper is to elaborate the significance of safeguards in digital ecosystems and their role in generating trust among participants. This paper argues that the right mix and number of safeguards are crucial for an ecosystem’s growth and success. It offers ecosystem orchestrators concrete guidelines for how to implement and monitor safeguards.

This research is based on both consulting experience and publicly available information on several digital ecosystems.

This research conceptualizes safeguards as precautionary mechanisms that mandate or promote desirable behavior in an effort to engender trust among ecosystem participants. Safeguards can take various forms, including passwords, escrow, user privacy controls, ratings and reviews and policies and contracts. Striking the right balance of safeguards – neither too few nor too many – is crucial for ecosystem orchestrators. This paper identifies the factors that determine the optimal mix of safeguards, including the power asymmetry between sellers and buyers, the sophistication of participants, the nature of transactions, the cost of negative outcomes and the cost-benefit tradeoff.

To the best of the authors’ knowledge, this study is one of the first to illuminate the relationship between safeguards and trust in the context of digital ecosystem. It is also one of the few attempts to provide managerial guidance for ecosystem designers trying to structure their platform for trust.

Developing green innovative services is critical to the restaurant industry to achieve significant benefits as well as environmental sustainability. This study aims to explore the mechanisms through which employees’ green involvement can foster green service innovation behavior.

The data set garnered from employees who worked in restaurants was used to test these mechanisms. A partial least square technique was conducted on this data set.

The results revealed the employees’ green involvement significantly influences their green service innovation intention, which subsequently influences their green service innovation behavior. Furthermore, information technology (IT) adoption was found to fortify the linkage of employee green involvement with green service innovation intention.

The results suggest to the restaurant industry that awareness of green service innovation and IT adoption practices can help restaurants to develop effective sustainability work practices and meet societal expectations.

This study extends the restaurant management literature by linking the green involvement of restaurant employees to green service innovation intention as well as identifying the moderating role of IT adoption underlying this link.

The aim of this study was to investigate the use of software for the automation of academic libraries in Sialkot. This study consisted of three objectives, including recognizing the reasons to adopt the software for library automation, investigating the problems faced by librarians while using library software and identifying the satisfaction level with the attributes of library software.

A quantitative research approach was used to achieve the objectives of this study. A survey was conducted to collect data from the library information science professionals working in the academic libraries of Sialkot. The data was collected from 46 library professionals through a structured questionnaire.

The findings showed that the economic cost of implementation, maintenance and the software providing multilingual support were the major reasons for adoption of software for the purpose of automation. In this study, compliance with the internet, noncooperation in library automation by university/institution, availability of training facilities, insufficient library budget, a lack of financial/economic resources, staff transfer and a lack of consultancy and technical service were identified as major issues when using library automation software. However, the respondents were quite satisfied with the performance of software attributes including circulation modules, easy to use cataloguing modules, reports’ modules, software attributes of administration modules and multilingual facility.

This study persuades library and information science professionals to automate their libraries through the adoption of library software.

Present study aims to extend the lattice Boltzmann method (LBM) to simulate radiation in geometries with curved boundaries, as the first step to simulate radiation in complex porous media. In recent years, researchers have increasingly explored the use of porous media to improve the heat transfer processes. The lattice Boltzmann method (LBM) is one of the most effective techniques for simulating heat transfer in such media. However, the application of the LBM to study radiation in complex geometries that contain curved boundaries, as found in many porous media, has been limited.

The numerical evaluation of the effect of the radiation-conduction parameter and extinction coefficient on temperature and incident radiation distributions demonstrates that the proposed LBM algorithm provides highly accurate results across all cases, compared to those found in the literature or those obtained using the finite volume method (FVM) with the discrete ordinates method (DOM) for radiative information.

For the case with a conduction-radiation parameter equal to 0.01, the maximum relative error is 1.9% in predicting temperature along vertical central line. The accuracy improves with an increase in the conduction-radiation parameter. Furthermore, the comparison between computational performances of two approaches reveals that the LBM-LBM approach performs significantly faster than the FVM-DOM solver.

The difficulty of radiative modeling in combined problems involving irregular boundaries has led to alternative approaches that generally increase the computational expense to obtain necessary radiative details. To address the limitations of existing methods, this study presents a new approach involving a coupled lattice Boltzmann and first-order blocked-off technique to efficiently model conductive-radiative heat transfer in complex geometries with participating media. This algorithm has been developed using the parallel lattice Boltzmann solver.

Nowadays people are connected by social media like Facebook, Instagram, Twitter, YouTube and much more. Bullies take advantage of these social networks to share their comments. Cyberbullying is one typical kind of harassment by making aggressive comments, abuses to hurt the netizens. Social media is one of the areas where bullying happens extensively. Hence, it is necessary to develop an efficient and autonomous cyberbullying detection technique.

In this paper, the authors proposed a transformer network-based word embeddings approach for cyberbullying detection. RoBERTa is used to generate word embeddings and Light Gradient Boosting Machine is used as a classifier.

The proposed approach outperforms machine learning algorithms such as logistic regression, support vector machine and deep learning models such as word-level convolutional neural networks (word CNN) and character convolutional neural networks with short cuts (char CNNS) in terms of precision, recall, F1-score.

One of the limitations of traditional word embeddings methods is context-independent. In this work, only text data are utilized to identify cyberbullying. This work can be extended to predict cyberbullying activities in multimedia environment like image, audio and video.

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

Emphasizing the critical role of technology-enabled distribution in tourism, this study, a viewpoint, aims to highlight the potential of democratized technologies in readdressing the competitive imbalance between small- and medium-sized tourism enterprises (SMTEs) and their larger peers in today’s online marketplace. By enhancing competitiveness and performance, democratized technologies can strengthen the resilience, sustainability and competitive position of the SMTEs on which tourism depends, helping to support the Horizon 2050 agenda and UN’s Sustainable Development Goals.

Examining the development of online and electronic distribution in tourism, the viewpoint identifies the key challenges to the successful use of technology-based distribution systems by SMTEs, as well as highlights the trend toward democratized technologies as a potential solution to help improve technology take-up and performance.

With no/low initial capital or operating costs, and little need for technical expertise, democratized technologies have the potential to overcome two of the three key challenges limiting the successful adoption and use of distribution technologies by SMTES. The key blockage remains one of managerial awareness and acceptability. With informal organization structures, little managerial or technical training and an ingrained reluctance to change, SMTE managers remain unfamiliar of the possibilities offered by this developing trend. While this challenge could be addressed by awareness building and training, in the longer run, it is likely that more substantial progress will arise from generational change in SMTE management, with digitally native successors more likely to exploit this development to improve competitiveness and performance.

Emphasizing the pivotal role that democratized technology can potentially play in redressing the competitive imbalance between SMTEs and their larger peers in the distribution space, this viewpoint serves as a call for action for tourism businesses to re-examine their approach to technology adoption and leverage democratized technologies to address current deficiencies in their distribution approach, helping to improve competitiveness and performance, thus supporting the Horizon 2050 initiative and furthering the UN’s Sustainable Development Goals.

这篇观点论文强调了技术驱动的分销在旅游业中的关键作用, 强调了民主化技术在重新解决中小旅游企业（SMTEs）与其大型同行在当今在线市场中的竞争失衡方面的潜力。通过提高竞争力和绩效, 民主化技术可以加强旅游业所依赖的SMTE的韧性、可持续性和竞争地位, 有助于支持地平线2050议程和联合国可持续发展目标。

该观点论文考察了在线和电子分销在旅游业的发展, 确定了SMTE成功使用基于技术的分销系统的关键挑战, 并强调了将民主化技术作为帮助提高技术使用率和性能的潜在解决方案的趋势。

由于没有/较低的初始资本或运营成本, 也几乎不需要技术专业知识, 民主化技术有可能克服限制SMTES成功采用和使用分销技术的三个关键挑战中的两个。关键的障碍仍然是管理意识和可接受性。由于非正式的组织结构、很少的管理或技术培训以及根深蒂固的不愿改变, SMTE的管理人员仍然不熟悉这一发展趋势所提供的可能性。虽然这一挑战可以通过提高认识和培训来解决, 但从长远来看, SMTE管理的代际变革可能会带来更大的进展, 数字原生继任者更有可能利用这一发展来提高竞争力和绩效。

强调民主化技术在纠正SMTE与其在分销领域的大型同行之间的竞争失衡方面可能发挥的关键作用, 本文呼吁旅游企业采取行动, 重新审视其采用技术的方法, 并利用民主化技术来解决其分销方法中的当前缺陷, 帮助提高竞争力和绩效, 从而支持地平线2050倡议, 推动联合国的可持续发展目标。

Haciendo hincapié en el papel fundamental de la distribución posibilitada por la tecnología en el turismo, este punto de vista destaca el potencial de las tecnologías democratizadas para corregir el desequilibrio competitivo entre las Pequeñas y Medianas Empresas Turísticas (PYMETs) y sus homólogas de mayor tamaño en el mercado online actual. Al mejorar la competitividad y el rendimiento, las tecnologías democratizadas pueden reforzar la resistencia, la sostenibilidad y la posición competitiva de las PYMETS de las que depende el turismo, contribuyendo así a apoyar la agenda Horizonte 2050 y los Objetivos de Desarrollo Sostenible de la ONU.

Examinando el desarrollo de la distribución online y electrónica en el turismo, el punto de vista identifica los desafíos clave para el uso exitoso de los sistemas de distribución basados en la tecnología por parte de las PYMETs, así como destaca la tendencia hacia las tecnologías democratizadas como una solución potencial para ayudar a mejorar la adopción y el rendimiento de la tecnología.

Con unos costes iniciales de capital o de funcionamiento nulos o bajos, y poca necesidad de conocimientos técnicos, las tecnologías democratizadas tienen el potencial de superar dos de los tres retos clave que limitan la adopción y el uso con éxito de las tecnologías de distribución por parte de las PYMETs. El bloqueo clave permanece en la concienciación y la aceptación por parte de los directivos. Con estructuras organizativas informales, escasa formación técnica o de gestión y una arraigada reticencia al cambio, los directivos de las PYMETs permanecen desconocedores de las posibilidades que ofrece esta tendencia en desarrollo. Aunque este reto podría abordarse mediante la concienciación y la formación, a largo plazo es probable que surjan progresos más sustanciales del cambio generacional en la gestión de las PYMETs, con sucesores nativos digitales más propensos a explotar este desarrollo para mejorar la competitividad y el rendimiento.

Haciendo especial hincapié en el potencial y fundamental papel que la tecnología democratizada puede desempeñar a la hora de corregir el desequilibrio competitivo entre las PYMETs y sus homólogas de mayor tamaño en el espacio de la distribución, este punto de vista sirve de llamada a la acción para que las empresas turísticas reexaminen su enfoque de la adopción de tecnología y aprovechen las tecnologías democratizadas para subsanar las deficiencias actuales en su enfoque de la distribución, ayudando a mejorar la competitividad y el rendimiento, apoyando así la iniciativa Horizonte 2050 y fomentando los Objetivos de Desarrollo Sostenible de la ONU.