This paper presents a proposed design procedure of a Wireless Power Transfer (WPT) system based on high efficiency offset reflector antennas fed by conical horns. The system's performance evaluation is also demonstrated. The antennas in the transmitter and receiver sides of the proposed WPT system are symmetric. The performance of the system is optimized by calibrating the feeding horns and the offset reflector's dimensions to minimize the path and reflection losses of the proposed WPT system. The results show that correct line of sight alignment of the transmitter and receiver enhances the efficiency of the system. With an operating frequency of 6 GHz and 1 W of power transfer over a distance of 12 m between the transmitter and receiver, the system attains a total transfer efficiency of 62.9 %

In this paper, we present the design and operation process of AssIuT-IoT testbed; an educational and remotely accessible testbed for internet of things applications. The testbed adopts the Experiment as a Service (EaaS) model in which users are able to access the testbeds and reserve/use the available resources remotely over the internet. Also, the testbed is federated with other ones distributed among different locations to allow sharing of resources, user accounts, and policies. The federated testbeds form an educational consortium that facilitates students’ access to hardware resources available at different locations. AssIuT-IoT testbed consists of a control server and a set of IoT nodes (hardware resources) supported with different wireless communication capabilities. We present the design, operation, and performance details of the testbed in terms of the hardware and software components. We describe the steps needed to complete experiments using our testbed, and we provide some examples. Moreover, we evaluate the testbed and the IoT networks performance. Finally, we present the internet of things students’ competition as one of the activities where the testbed has been used.

In this paper, we present the design and operation process of AssIuT-IoT testbed; an educational and remotely accessible testbed for internet of things applications. The testbed adopts the Experiment as a Service (EaaS) model in which users are able to access the testbeds and reserve/use the available resources remotely over the internet. Also, the testbed is federated with other ones distributed among different locations to allow sharing of resources, user accounts, and policies. The federated testbeds form an educational consortium that facilitates students’ access to hardware resources available at different locations. AssIuT-IoT testbed consists of a control server and a set of IoT nodes (hardware resources) supported with different wireless communication capabilities. We present the design, operation, and performance details of the testbed in terms of the hardware and software components. We describe the steps needed to complete experiments using our testbed, and we provide some examples. Moreover, we evaluate the testbed and the IoT networks performance. Finally, we present the internet of things students’ competition as one of the activities where the testbed has been used.

In this paper, we present the design and operation process of AssIuT-IoT testbed; an educational and remotely accessible testbed for internet of things applications. The testbed adopts the Experiment as a Service (EaaS) model in which users are able to access the testbeds and reserve/use the available resources remotely over the internet. Also, the testbed is federated with other ones distributed among different locations to allow sharing of resources, user accounts, and policies. The federated testbeds form an educational consortium that facilitates students’ access to hardware resources available at different locations. AssIuT-IoT testbed consists of a control server and a set of IoT nodes (hardware resources) supported with different wireless communication capabilities. We present the design, operation, and performance details of the testbed in terms of the hardware and software components. We describe the steps needed to complete experiments using our testbed, and we provide some examples. Moreover, we evaluate the testbed and the IoT networks performance. Finally, we present the internet of things students’ competition as one of the activities where the testbed has been used.

ABSTRACT Recently, the integration between healthcare services and new technologies has been enhanced to be very necessary and effective inside digital Hospitals. Digital hospitals include a huge number of healthcare advanced technologies that have special digital and architectural requirement; these requirements cannot be provided in traditional hospitals. Many previous studies and guidelines addressed few numbers of digital hospital’s rooms and their architectural requirements. Hence, in this study, healthcare advanced technologies has been determined for outlining the architectural consideration of digital hospital’s rooms. Accordingly, Robotic Surgery Ward (RSW) has been compared with Traditional Surgery Ward (TSW) for: a) demonstrating the effect of an advanced technology (Robotic technology) on a digital hospital ward and b) helping designers to find out the main architectural and economic principles of designing RSWs besides TSWs. The main findings in this study are: a) outlining the main architectural characteristics of digital hospitals in general and digital hospital’s rooms in specific, b) articulating the main architectural and economic aspects for RSW and robotic surgery rooms, which is different from TSW. As an application of the comparative analyses, possible design alternatives of RSW and TSW has been also proposed and compared.

Recently, the integration between healthcare services and new technologies has been enhanced to be very necessary and effective inside digital Hospitals. Digital hospitals include a huge number of healthcare advanced technologies that have special digital and architectural requirement; these requirements cannot be provided in traditional hospitals. Many previous studies and guidelines addressed few numbers of digital hospital’s rooms and their architectural requirements. Hence, in this study, healthcare advanced technologies has been determined for outlining the architectural consideration of digital hospital’s rooms. Accordingly, Robotic Surgery Ward (RSW) has been compared with Traditional Surgery Ward (TSW) for: a) demonstrating the effect of an advanced technology (Robotic technology) on a digital hospital ward and b) helping designers to find out the main architectural and economic principles of designing RSWs besides TSWs. The main findings in this study are: a) outlining the main architectural characteristics of digital hospitals in general and digital hospital’s rooms in specific, b) articulating the main architectural and economic aspects for RSW and robotic surgery rooms, which is different from TSW. As an application of the comparative analyses, possible design alternatives of RSW and TSW has been also proposed and compared.

ABSTRACT Recently, the integration between healthcare services and new technologies has been enhanced to be very necessary and effective inside digital Hospitals. Digital hospitals include a huge number of healthcare advanced technologies that have special digital and architectural requirement; these requirements cannot be provided in traditional hospitals. Many previous studies and guidelines addressed few numbers of digital hospital’s rooms and their architectural requirements. Hence, in this study, healthcare advanced technologies has been determined for outlining the architectural consideration of digital hospital’s rooms. Accordingly, Robotic Surgery Ward (RSW) has been compared with Traditional Surgery Ward (TSW) for: a) demonstrating the effect of an advanced technology (Robotic technology) on a digital hospital ward and b) helping designers to find out the main architectural and economic principles of designing RSWs besides TSWs. The main findings in this study are: a) outlining the main architectural characteristics of digital hospitals in general and digital hospital’s rooms in specific, b) articulating the main architectural and economic aspects for RSW and robotic surgery rooms, which is different from TSW. As an application of the comparative analyses, possible design alternatives of RSW and TSW has been also proposed and compared.

ABSTRACT Recently, the automation of architectural design process has been focused specifically in Healthcare buildings (HCB) for easier implementation and faster feedback. Hence, a great evolution of Computational Implementations (CIs) were appeared and studied for early stages of design process of HCB, such as generating design solutions, evaluation of design solutions or others to provide helpful tools for designers. This paper provides comparative analyses of a set of CIs that can be applied on different architectural design stages in HCB, these stages includes: a) architectural programming and topological diagram, b) generating design alternatives and c) evaluation of design solutions. The focused CIs in this study have been classified to computational tools, computational algorithms, computational approaches and hybrid methods; they are compared using a set of criteria with various evaluation methods. This comparative analysis helps designers to determine the appropriate CI or CIs’ combinations for each main early stage of HCB design, and also the possibilities of connecting two of the studied CIs in a framework to get wider outcomes were studied. The main study findings are the capabilities, limitation and features of each CI, in addition to the best selections in each early stage for different HCB design cases. Also, possible connections between different CIs were discussed on simple examples as a fruitful outcome of analyzing CIs’ combinations.

Recently, the automation of architectural design process has been focused specifically in Healthcare buildings (HCB) for easier implementation and faster feedback. Hence, a great evolution of Computational Implementations (CIs) were appeared and studied for early stages of design process of HCB, such as generating design solutions, evaluation of design solutions or others to provide helpful tools for designers. This paper provides comparative analyses of a set of CIs that can be applied on different architectural design stages in HCB, these stages includes: a) architectural programming and topological diagram, b) generating design alternatives and c) evaluation of design solutions. The focused CIs in this study have been classified to computational tools, computational algorithms, computational approaches and hybrid methods; they are compared using a set of criteria with various evaluation methods. This comparative analysis helps designers to determine the appropriate CI or CIs’ combinations for each main early stage of HCB design, and also the possibilities of connecting two of the studied CIs in a framework to get wider outcomes were studied. The main study findings are the capabilities, limitation and features of each CI, in addition to the best selections in each early stage for different HCB design cases. Also, possible connections between different CIs were discussed on simple examples as a fruitful outcome of analyzing CIs’ combinations.

ABSTRACT Recently, the automation of architectural design process has been focused specifically in Healthcare buildings (HCB) for easier implementation and faster feedback. Hence, a great evolution of Computational Implementations (CIs) were appeared and studied for early stages of design process of HCB, such as generating design solutions, evaluation of design solutions or others to provide helpful tools for designers. This paper provides comparative analyses of a set of CIs that can be applied on different architectural design stages in HCB, these stages includes: a) architectural programming and topological diagram, b) generating design alternatives and c) evaluation of design solutions. The focused CIs in this study have been classified to computational tools, computational algorithms, computational approaches and hybrid methods; they are compared using a set of criteria with various evaluation methods. This comparative analysis helps designers to determine the appropriate CI or CIs’ combinations for each main early stage of HCB design, and also the possibilities of connecting two of the studied CIs in a framework to get wider outcomes were studied. The main study findings are the capabilities, limitation and features of each CI, in addition to the best selections in each early stage for different HCB design cases. Also, possible connections between different CIs were discussed on simple examples as a fruitful outcome of analyzing CIs’ combinations.