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The aim of this study is to examine the long‐ and short‐run relationships between the composition of government expenditure and investment in Saudi Arabia for the period 1970‐2007. The Autoregressive Distributed Lag bounds test yields evidence of cointegration between investment and the six government expenditure components. The study also finds that spending on education and spending on economic services contribute significantly in economic growth, through rising capital formation. In addition, the results indicate a negative impact of social services spending on investment, which is consistent with economic theory. Lastly, the results on the error correction model give support to the existence of long run relationship among variables under investigation, and indicate that the mechanism of correcting the disequilibrium is present in the model.

The study proposed a human–robot interaction (HRI) framework to enable operators to communicate remotely with robots in a simple and intuitive way. The study focused on the situation when operators with no programming skills have to accomplish teleoperated tasks dealing with randomly localized different-sized objects in an unstructured environment. The purpose of this study is to reduce stress on operators, increase accuracy and reduce the time of task accomplishment. The special application of the proposed system is in the radioactive isotope production factories. The following approach combined the reactivity of the operator’s direct control with the powerful tools of vision-based object classification and localization.

Perceptive real-time gesture control predicated on a Kinect sensor is formulated by information fusion between human intuitiveness and an augmented reality-based vision algorithm. Objects are localized using a developed feature-based vision algorithm, where the homography is estimated and Perspective-n-Point problem is solved. The 3D object position and orientation are stored in the robot end-effector memory for the last mission adjusting and waiting for a gesture control signal to autonomously pick/place an object. Object classification process is done using a one-shot Siamese neural network (NN) to train a proposed deep NN; other well-known models are also used in a comparison. The system was contextualized in one of the nuclear industry applications: radioactive isotope production and its validation were performed through a user study where 10 participants of different backgrounds are involved.

The system was contextualized in one of the nuclear industry applications: radioactive isotope production and its validation were performed through a user study where 10 participants of different backgrounds are involved. The results revealed the effectiveness of the proposed teleoperation system and demonstrate its potential for use by robotics non-experienced users to effectively accomplish remote robot tasks.

The proposed system reduces risk and increases level of safety when applied in hazardous environment such as the nuclear one.

The contribution and uniqueness of the presented study are represented in the development of a well-integrated HRI system that can tackle the four aforementioned circumstances in an effective and user-friendly way. High operator–robot reactivity is kept by using the direct control method, while a lot of cognitive stress is removed using elective/flapped autonomous mode to manipulate randomly localized different configuration objects. This necessitates building an effective deep learning algorithm (in comparison to well-known methods) to recognize objects in different conditions: illumination levels, shadows and different postures.

This study aims to revisit and extends the work of Rosacker and Rosacker (2012) that called for increased interdisciplinary efforts to address and solve the critical issues (critical success factors) facing technologically-enabled remote-access voting platforms. It builds upon the background platform presented there, which included an historical timeline of information and communication technologies and an e-voting literature review, and extends that work by providing a state-of-the-art update and review of the rapidly changing voter environment from societal, technological and experiential studies over the past decade. Specific focus is directed at technology-enabled, remote-access voting, while also considering the important role technological advances can play in improving voter registration/confirmation procedures.

First, a brief review of significant societal and technological changes, including the rapid evolution of the internet of things, is undertaken to frame the discussion. Second, a sample of several technology-enabled, remote-access voting experiments are reviewed and critiqued. Third, currently available technical solutions targeting technology-enabled voter registration and vote casting are offered as the next step in the process that will ultimately lead to remote-access voting becoming widely deployed across smart devices. Finally, some contemporaneous conclusions are tendered.

Society and technology-enabled devices have each witnessed myriad changes and advancements in the second decade of the 21st century. These have led to numerous remote-access voting experiments across the globe that have overwhelmingly proven the concept of technology-enabled, remote-access voting to be viable while also identifying/reasserting issues (critical success factors) that continue to restrain its full implementation. Importantly, none of the problems identified is fatal to the concept.

This study considers the issue of technologically-enabled, remote-access voting focussing on the impacts associated with the portfolio of recent societal and technological advancements including the many vexing concerns and issues presented by the coronavirus pandemic. Social distancing is limiting access to the traditional methods of in-person voting for both election officials and voters bringing into question the November 2020 US national election. Calls for expanded mail voting options and the requisite federal funding required to support these efforts are increasing, widespread and broadly persuasive. Wholly missing in this debate is an exhaustive consideration and discussion of technologically enhanced, remote-access voting systems and their role in filling the void.