Search results

The purpose of this paper is to demonstrate the development of an aircraft-type autonomous portable drone suitable for surveillance and disaster management. The drone is capable of flying at a maximum speed of 76 km/h. This portable drone comprises five distinct parts those are easily installable within several minutes and can be fit in a small portable kit. The drone consists of a ballistic recovery system, allowing the drone landing vertically. The integrated high-definition camera sends real-time video stream of desired area to the ground control station. In addition, the drone is capable of carrying ~1.8 kg of payload.

In order to design and develop the portable drone, the authors sub-divided the research activities in six fundamental steps: survey of the current drone technologies, design the system architecture of the drone, simulation and modeling of various modules of the drone, development of various modules of the drone and their performance analysis, integration of various modules of the drone, and real-life performance analysis and finalization.

Experimental results: the cruise speed of the drone was in the range between 45 and 62 km/h. The drone was capable of landing vertically using the ballistic recovery system attached with it. On the contrary, the drone can transmit real-time video to the ground control station and, thus, suitable for surveillance. The audio system of the drone can be used for announcement of emergency messages. The drone can carry 1.8 kg of payload and can be used during disaster management. The drone parts are installed within 10 min and fit in a small carrying box.

The autonomous aircraft-type portable drone has a wide range of applications including surveillance, traffic jam monitoring and disaster management.

The cost of the cost-effective drone is within $700 and creates opportunities for the deployment in the least developed countries.

The autonomous aircraft-type portable drone along with the ballistic recovery system were designed and developed by the authors using their won technology.

construction industry in the Gulf Cooperation Council (GCC) member countries is at the peak as the region is in the stage of developing its infrastructures. Apart from some positive sign of this boost, several other issues have also been developed in the region. One of such issues is the safety of workers at the construction sites. This article, based on a variety of applications of drones in other industrial sectors, considers the use of drones for construction safety improvement in the GCC countries. This article aimed to investigate the safety-related applications of drones considering technical features and barriers and enablers for safety-related tasks.

A mixed research approach using both qualitative and quantitative methods was adopted to achieve the aims and objectives of this research. Data were collected through a systematic literature review, semistructured interviews and using a structured questionnaire. A total of 37 relevant research items and 10 interviews were held with construction safety professionals, and 92 responses collected from the safety managers through a structured questionnaire was used to derive the conclusion of this research. The collected data were processed and analyzed using the Statistical Product and Service Solutions (SPSS) program. Descriptive analyses were carried out in which means and importance factors were calculated.

25.92% of participants confirmed that they or their company had used the drone in different activates. The most common application of drones reported by the respondents was photography for marketing purposes followed by surveying application and quality inspections. The camera movability was the top-rated technical feature required for safety-related inspections. Similarly, “Working near the corner or edge of unprotected opening” was the top-rated application of drone for safety-related tasks. The safety concerns of using drones at job sites were rated as the most important barrier by the participants. Technical challenges associated with the use of drones for safety improvement was rated as the second most important barrier by the participants.

Although, the research presented in this article is based on the GCC construction industry, however, since the data collected through systematic review and semistructured interviews are not a regional base, therefore the finding of this research could also be useful in other regions. Further research however, needs to be conducted to reduce the implications of the barriers identified in this paper so that the drone can be effectively used for safety improvement in construction not only in the GCC region but also in other countries.

Once the GCC construction industry will be able to overcome the challenges associated with the application of drones in safety improvement, the safety managers will be able to monitor the site more effectively which could be helpful to improve the safety performance of the construction organization.

Improved safety performance in not only in the greater interest of the construction organizations as they can reduce the costs associated with poor safety but can also avoid the delay caused by construction accidents. Similarly, improved safety performance reduces the accidents at construction sites, and thus reduces injuries and disabilities caused by such accidents, making the construction workers a useful part of the society. The application of drones in safety-related tasks is one of the key solutions that can lead us to improved safety performance.

Although, the use of drone technology has revolutionized a number of industrial sectors due to its variety of applications, the application in construction particularly in the GCC region is still very limited. As noted in the results of this research, only 21 participants (25.92%) expressed that they or their company had used the drone in different activates. This means that the industry is not getting the full advantage of the available drone technology. The results of this research will enable construction industry stakeholders to know the challenges associated with the application of drones for safety improvement and to develop strategies to overcome these challenges.

With the increasing demand for surveillance and smart transportation, drone technology has become the center of attraction for robotics researchers. This study aims to introduce a new path planning approach to drone navigation based on topology in an uncertain environment. The main objective of this study is to use the Ricci flow evolution equation of metric and curvature tensor over angular Riemannian metric, and manifold for achieving navigational goals such as path length optimization at the minimum required time, collision-free obstacle avoidance in static and dynamic environments and reaching to the static and dynamic goals. The proposed navigational controller performs linearly and nonlinearly both with reduced error-based objective function by Riemannian metric and scalar curvature, respectively.

Topology and manifolds application-based methodology establishes the resultant drone. The trajectory planning and its optimization are controlled by the system of evolution equation over Ricci flow entropy. The navigation follows the Riemannian metric-based optimal path with an angular trajectory in the range from 0° to 360°. The obstacle avoidance in static and dynamic environments is controlled by the metric tensor and curvature tensor, respectively. The in-house drone is developed and coded using C++. For comparison of the real-time results and simulation results in static and dynamic environments, the simulation study has been conducted using MATLAB software. The proposed controller follows the topological programming constituted with manifold-based objective function and Riemannian metric, and scalar curvature-based constraints for linear and nonlinear navigation, respectively.

This proposed study demonstrates the possibility to develop the new topology-based efficient path planning approach for navigation of drone and provides a unique way to develop an innovative system having characteristics of static and dynamic obstacle avoidance and moving goal chasing in an uncertain environment. From the results obtained in the simulation and real-time environments, satisfactory agreements have been seen in terms of navigational parameters with the minimum error that justifies the significant working of the proposed controller. Additionally, the comparison of the proposed navigational controller with the other artificial intelligent controllers reveals performance improvement.

In this study, a new topological controller has been proposed for drone navigation. The topological drone navigation comprises the effective speed control and collision-free decisions corresponding to the Ricci flow equation and Ricci curvature over the Riemannian metric, respectively.

The widespread use of drones among the general public has led to an alarming increase in accidents, some with lethal consequences. As drone blades are made from rigid materials and rotate at very high speeds, their impact with a human body can result in fatal injuries. Reliable collision detection combined with near-instantaneous braking of the drone’s rotor(s) can substantially lessen the severity of injuries sustained. The purpose of this paper is to achieve a safety solution which can be easily integrated into new products, or retrofitted into existing systems.

Through a proof of concept, this paper demonstrates the possibility of detecting a collision with a drone propeller absent any hardware modifications to the drone’s instrumentation. The solution relies on current-sensor readings, ordinarily used for monitoring the battery status of electrically actuated drones. The braking is achieved purely by reconfiguring the motor’s control strategy, without the need for additional hardware, as has been the case in previous works.

This paper demonstrates the possibility of detecting a collision with a drone propeller absent any hardware modifications to the drone’s instrumentation.

Compared to previous works which require installing additional hardware, the solution is purely software. This makes it very easy to integrate into existing systems or new products, at no additional cost. In experiments conducted on a prototype system, the solution was shown capable of detecting a collision and braking the motor in fewer than 20 ms. This allowed attenuating centimetre-deep cuts made to a piece of meat by an unprotected rotor to mere superficial scratches.

In the effort to procure solutions to emerging challenges faced in the construction industry, construction stakeholders implemented the use of several technologies in construction operations from the onset of project planning to completion. Cyber technology introduced into construction brought about the inclusion of wearable technology, mobile devices, apps, project management software, drones, 3D printers, robotics, etc. to enhance output as the industry tends towards that which is sustainable. This chapter identified benefits, barriers and other related cyber technology interactions within the scope of delivering projects that are of standard, budget and quality at the same time. The conclusion gave a summary of the whole chapter for further comprehension.

After the occurrence of natural disasters, the rapid and accurate delivery of geo-afforestation is the key to emergency rescue and is the fundamental solution to the “last mile” problem. It provides technical support for the territorial rapid and accurate delivery. The paper aims to discuss this issue.

Through literature and theoretical research, combined with the research experience of scholars, the qualitative research method is adopted. The paper establishes a three-dimensional analysis framework, including disaster predictability, resource availability and transport accessibility, and proposes the integrated delivery triangular technical framework, including integrated monitoring analysis, the territorial virtual public storage and transportation.

Based on the analysis of the factors affecting the effectiveness of emergency delivery, the paper establishes a three-dimensional analysis framework, including disaster predictability, resource availability and transport accessibility, and proposes the integrated delivery triangular technical framework, including integrated monitoring analysis, the territorial virtual public storage and transportation. The triangular technical characteristics and functions of emergency delivery are studied, providing theoretical basis and technical support for effective rescue and emergency planning.

The territorial emergency delivery refers to the process of rapid and accurate delivery without relying on external territorial supplies. The paper establishes a three-dimensional analysis framework, including disaster predictability, resource availability and transport accessibility, and proposes the integrated delivery triangular technical framework, including integrated monitoring analysis, the territorial virtual public storage and transportation.

The purpose of this study is to analyze the robot trends of the next generation.

This paper is divided into two sections: the key modern technology on which Europe's robotics industry has built its foundation is described. Then, the next key megatrends were analyzed.

Artificial intelligence (AI) and robotics are technologies of major importance for the development of humanity. This time is mature for the evolution of industrial and service robots. The perception of robot use has changed from threading to aiding. The cost of mass production of technological devices is decreasing, while a rich set of enabling technologies is under development. Soft mechanisms, 5G and AI have enabled us to address a wide range of new problems. Ethics should guide human behavior in addressing this newly available powerful technology in the right direction.

The paper describes the impact of new technology, such as AI and soft robotics. The world of work must react quickly to these epochal changes to enjoy their full benefits.

The purpose of this paper is to outline the “Hybrid” “International” Emergency Medicine (HIEM) programme, which is an ethical pathway for the recruitment, employment and training of Emergency Medicine doctors; with a rotation through the NHS on a two-year medical training initiative with a Tier 5 visa, “earn, learn and return” programme. The HIEM programme offers an advantage to the Tier 2 visa by combining training, education and employment resulting in new learning to help improve the health system in Nepal and provide continued cultural support, clinical and leadership development experience in the UK NHS. Finally, this programme also provides a Return on Investment to the NHS.

A shortage of doctors in the UK, combined with a need to develop Emergency Medicine doctors in Nepal, led to a UK Emergency Medicine Physician (PS) to facilitate collaboration between UK/Nepal partners. A mapping exercise of the Royal College of Emergency Medicine curriculum with the competencies for the health system and quality improvement leaders and partners with patients produced a “HIEM programme”. The HIEM programme aims to develop first-class doctors to study in Emergency Departments in the UK NHS while also building trainee capability to improve the health system in Nepal with a research thesis.

The HIEM programme has 12 doctors on its programme across years one and two, with the first six doctors working in the UK NHS and progressing well. There are reports of high levels of satisfaction with the trainees in their transition from Nepal to the UK and the hospital is due to save £720,000 (after costs) over two years. Each trainee will earn £79,200 over two years which is enough to pay back the £16,000 cost for the course fees. Nepal as a country will benefit from the HIEM programme as each trainee will submit a health system improvement Thesis.

The HIEM programme is in its infancy as it is two years through a four-year programme. Further evaluation data are required to assess the full impact of this programme. In addition, the HIEM programme has only focussed on the development of one medical speciality which is Emergency Medicine. Further research is required to evaluate the impact of this model across other medical and surgical specialties.

The HIEM programme has exciting potential to support International Medical Graduates undertake a planned programme of development while they study in the UK with a Tier 5 visa. IMGs require continuous support while in the UK and are required to demonstrate continued learning through continuous professional development (CPD). The HIEM programme offers an opportunity for this CPD learning to be structured, meaningful and progressive to enable new learning. There is also specific support to develop academic and research skills to undertake a thesis in an area that requires health system improvement in Nepal.

This is the first time an integrated clinical, leadership, quality improvement and patient partnership model curriculum has been developed. The integrated nature of the curriculum saves precious time, money and resources. The integrated nature of this “hybrid” curriculum supports the development of an evidence-based approach to generating attitudes of collaboration, partnership and facilitation and team building in medical leadership with patient engagement. This “hybrid” model gives hope for the increased added value of the programme at a time of global austerity and challenges in healthcare.

The word “drone” is the common term for an unmanned aerial vehicle – a robot that combines flight with sensors (usually cameras) to allow for unprecedented freedom in observing and interacting with the world.

This column will explore the technology that makes modern drones possible, what makes drones useful and the role of libraries in making drones accessible to their patrons, now and in the future.

Many of these applications are equally appealing to hobbyists and professionals. For some small-scale gardeners, drones can be used to scare away pests, such as deer, or take aerial photographs that provide a new perspective of their garden.

For the agriculture industry, drones already account for $864.4 million in spending per year and are expected to grow to account for over $4 billion by 2022, as they are used not only to monitor and plan crops but also to plant seeds and provide accurate pesticide control (Wood, 2016).