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the most consequential aspect of AI implementation in modern vehicles is self‐driving technology. It has been something that the entire automotive industry has been working towards for a very long time, and the effects delineate the exact circumstances (Hansen et al. 2015). One of the most obvious challenges is that people want AI to drive their vehicles, but they also want to be driven in the same way. This goes beyond what one would expect to be following safety rules and might consider the speed and the responsive behavior when other vehicles are on the road (Ge, Li, and Li 2017). This means that there needs to be a significant contribution to decision‐making capabilities within the AI routines in addition to sensory and cognitive functions. Moreover, self‐driving vehicles can also be looked upon as IoT devices themselves, or a series of the same working towards a highly complex human goal. It should also specifically involve consideration for communications. Under these circumstances, there should be a focus on vehicle‐to‐vehicle (V2V) or vehicle‐to‐communication (V2X) aspects (Dong et al. 2017). However, the specific processes that lead the vehicle to drive itself are pursued in many different ways.

      2.4.4 Deliveries with Unmanned Vehicles

      The consideration for cases of transportation would not be complete without the implementation of technologies across logistics. Specifically, with the rise of online shopping and many other smart warehouse operations, logistics, as an entire subject unto itself, has become quite a consequential topic to address (Martini et al. 2015). However, the supply chain would become fully automated by the inclusion, which has already garnered attention from many of the biggest retailers (French and Shim 2016). This involves selecting the best delivery pathway that sophisticated algorithms need to handle, which can be executed by the AI routines within the delivery vehicles themselves. Moreover, the fast and efficient processing of all the necessary data involved also indicates better service provision under any circumstance (Ge, Li, and Li 2017). However, many other nuanced challenges are apparent in handling deliveries with unmanned vehicles, which should constitute an inherent part of innovating and implementing new IoT inventions.

      There has been a significant initiative to automate many different aspects of industrial operations, particularly concerning manufacturing. Remote control mostly refers to the wireless connectivity of controlling operations that require minimal movement interventions (Lemley, Bazrafkan, and Corcoran 2017). The subject of control is industrial robots – mechanical devices that perform human operations previously made possible by human beings. The results are quite obvious in how they allow for faster and more efficient execution, down to the most elemental and commonplace tasks. This inimitably replaces human labor, making manufacturing operations more economical and indicating safer throughput operations.

      2.5.1 Factory Automation and Remote Control of Industrial Robots

      2.5.2 Remote Inspections and Maintenance, and Worker's Training

      The entire case of intelligent connectivity focuses on the realization of manufacturing in other senses than normal. Specifically, it becomes true when one considers the auxiliary operations like inspection, maintenance, and repairs in a remote approach. When one considers the entire case of making several possible operations at once, it is evident that a great amount of time and cost is accrued by any organization (Duan and Wang 2015). Moreover, considering actual cases, many of these areas remain inaccessible under purely human intervention. However, that is most definitely not the case with the remotely controlled IoT technology devices that will inherently provide the necessary operations at any given time or condition. These two factors might specifically convey some hazardous instances, especially when considering the case of human intervention. This can be seen when one considers the specific auxiliary functions that might happen across nuclear plants (Feng et al. 2018). Moreover, these specific operations can also inimitably aid in the necessary training of workers at large. When considering this specific responsibility, in most cases, the content and the strategy required often do not cover the plant's conditions under question (Mellit et al. 2009). However, when translated across very real data and solutions, it can become quite essential to the entire field of operations and can essentially change the fortune of any organization that engages in them.

      The combination of 5G networks, AI, and IoT, respectively, also referred to as Intelligent Connectivity, has the potential of maximizing healthcare facilities to the greatest extent imaginable. It shall effectively facilitate better preventive care while bringing the costs to an affordable rate at large (Feng et al. 2018). This is made possible because healthcare providers can make better use of the resources. Moreover, the remote allowances that have possibly made this possible have quite a few factors involved.

      2.6.1 Remote Health Monitoring and Illness Prevention

      In particular, among them is the case of remote availability of health monitoring and illness prevention services. This is most notably by the sheer strength and the possibilities brought about by 5G interconnectivity (Kovac and Leskova 2012), as well as support across a wide and varied number of individuals, especially when considering the development and use, which facilitates sophisticated monitoring of different aspects of the body.

      2.6.2 Remote Diagnosis and Medical Operation

      Intelligent connectivity also specifically points towards achieving a desirable state of remote diagnosis and medical operation. At present, both these services under healthcare auspices are specifically handled within significant limitations, which do not have significant amounts of management issues at large (Ghahramani 2015). However, through the specific realization of high speed, low latency, and ultra‐high reliability, it is entirely plausible that doctors will now be able to provide full examinations from remote locations in fully‐fledged audio/video feedback (Feng et al. 2018). The facilitation of diagnosis is also made possible through the above recommendation, which realizes the entire prospect at hand.

      One of the most prominent public safety applications and security is realized through the potential that agencies and governments have in making public or private spaces safer. Surveillance capabilities and security and emergency systems can all create maximum effects by way of facilitating all that is required by increasing and enhancing

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