In the existing milieu of contemporarily smart cities, the traffic situation is very saturated explicitly in the advanced industrial and populated cities that becomes worst at the rush hours. As population and corresp...
详细信息
ISBN:
(纸本)9781450371636
In the existing milieu of contemporarily smart cities, the traffic situation is very saturated explicitly in the advanced industrial and populated cities that becomes worst at the rush hours. As population and correspondingly required number of vehicles are also increasing in cities, it is problematic for citizens at the major traffic points of these big cities. It is not only causing travelling delays, accidents and their corresponding emergency response services, traffic jams, parking availability but also contributing heavily to environmental air and noise pollution as well as health threats due to pollution produced by vehicle combustion. Many urban societies are now actualizing smart frameworks for traffic control that work on the standards of traffic automation with prevention of the previously mentioned issues, to keep away from such serious problems but, as per best of our knowledge, no single model deals with such issues comprehensively. The prime idea lies in collecting the current locations of vehicles immediately and suggesting the optimal route to the vehicle from departure node to destination node using optimal path finding algorithm before starting the journey, mainly focusing on reducing the Congestion, greenhouse gases emission and fuel expenditure and also providing the alternate plan to vehicles at any point of journey. In this context, a smart traffic monitoring and controlling framework has been proposed that can perform fast information communication and their concerning actions. In the said model, under a VANET (Vehicular Ad-hoc Network) scenario, the proposed Traffic management paradigm implements a smart signaling system along with optimal path finding algorithm to control congestion to regularly unify the traffic flow by avoiding the congestion at the smart township zones. The Paradigm includes other unique modules such as prevention of accidents, signaling control module, smart car parking module, Law Enforcement and Emergency response ser
This research is carried out mainly through the method of IoT and particle filter applications. We collected the information by looking through the homepages of the world famous IoT appliances brands on the internet. ...
详细信息
ISBN:
(数字)9783319959337
ISBN:
(纸本)9783319959320;9783319959337
This research is carried out mainly through the method of IoT and particle filter applications. We collected the information by looking through the homepages of the world famous IoT appliances brands on the internet. And we combined the collected information in the literature investigating how to combine to particle filters for monitoring base communication station remotely. The developed system collects environmental data of wireless communication base station using several sensors, analyzes the collected data using particle filters, and controls the remotely base station. As a wireless remote control method, we implemented Bluetooth, Ethernet and Wi-Fi. Finally, it is designed for users to enable remote control and monitoring when the user is not in the base station.
The intelligent-agriculture control system is implemented under the precondition of ecological data analysis. The control system of the intelligent agriculture is composed of five parts, including the hardware parts, ...
详细信息
Distribution transformers are one of the most important equipment in power system network. As large number of distribution transformers distributed over a wide area in power electric system, the preventive diagnosis a...
详细信息
Wire arc additive manufacturing (WAAM) is arc welding-based additive manufacture which is providing a major opportunity for the aerospace industry to reduce buy-to-fly ratios from 20:1 with forging and machining to 5:...
详细信息
Wire arc additive manufacturing (WAAM) is arc welding-based additive manufacture which is providing a major opportunity for the aerospace industry to reduce buy-to-fly ratios from 20:1 with forging and machining to 5:1 with WAAM. The WAAM method can build a wide range of near net shapes from a variety of high-grade (metallic) materials at high deposition speeds without the need for costly moulds. However, current WAAM methods and technologies are unable to produce parts reliably and with consistent structural material properties and required dimensional accuracy. This is due to the complexity of the process and the lack of process control strategies. This article makes a brief review on monitoring methods that have been used in WAAM or similar processes. The authors then identify the requirements for a WAAM monitoring system based on the common attributes of the process. Finally, a novel multi-sensor framework is realised which monitors the system voltage/current, part profile and environmental oxygen level. The authors provide a new signal process technique to acquire accurate voltage and current signal without random noises thereby significantly improving the quality of WAAM manufacturing.
In the intelligent buildings more and more features are dependent on the proper operation of equipment powered by electricity. Possible damage to these devices is very detrimental to the functioning of the building an...
详细信息
ISBN:
(数字)9783319747279
ISBN:
(纸本)9783319747279;9783319747262
In the intelligent buildings more and more features are dependent on the proper operation of equipment powered by electricity. Possible damage to these devices is very detrimental to the functioning of the building and must be repaired or replaced immediately. In many cases a failure prevents the building from being used. Possible equipment failures, however, can be predicted from the analysis of how they operate. monitoring and analysis of power parameters of individual electrical devices allow to distinguish characteristic parameters of each electrical receiver. Any departure from stable working conditions may be recorded by a neuronal monitoring and evaluation system. The mechanism for such an analysis is the implementation of an adaptive prediction algorithm using artificial neural networks. This method allows adaptation of the decision mechanism to the current working conditions of controlled devices. The measured parameters are the measurements of physical quantities that illustrate the operation of the device. For example, for air handling and ventilation units, this is the electricity consumed. The advantage of power analysis is the identification of common faults and corresponding deformations of power supply parameters. Based on the previously prepared pattern, neural networks identify component damage or predict the predicted critical failure time of the component or control subsystem using MWF. Early forecasting of the failure situation contributes significantly to the comfort and security of intelligent building users.
In order to improve the level of automation and scientific management of greenhouse planting and reduce the output of labor force, greenhouse cucumber production as an example is studied, a kind of intelligentcontrol...
详细信息
ISBN:
(纸本)9783030000189;9783030000172
In order to improve the level of automation and scientific management of greenhouse planting and reduce the output of labor force, greenhouse cucumber production as an example is studied, a kind of intelligentcontrol system of cucumber production in the Internet of things is designed. On the basis of many factors such as weather, time, humidity, temperature and so on, in combination with the specific needs of daily production of cucumber, the greenhouse shutter control model, recovering stage model, early-flowering stage and result stage model is designed by using wireless communication technology, information collection technology, information processing technology and other intelligent technologies. It has realized the precision automatic control of the greenhouse. At the same time, in order to facilitate the user to see the growth of cucumber and the information of the greenhouse environment in real time, the mobile phone APP remote control, monitoring and warning services are provided. Experiments show that the system is stable in data transmission and reliable in environmental regulation, which meets the needs of intelligentcontrol in a modern greenhouse environment, and significantly improves the efficiency of cucumber production.
This paper presents a coverage algorithm for multi-robot systems where the robots are equipped with qualitatively different sensing modalities. Unlike previous approaches to the problem of coverage for teams with hete...
详细信息
ISBN:
(纸本)9781538680940
This paper presents a coverage algorithm for multi-robot systems where the robots are equipped with qualitatively different sensing modalities. Unlike previous approaches to the problem of coverage for teams with heterogeneous sensing capabilities, in this paper the robots have access to information about their neighbors' specific sensor modalities. This knowledge affords the ability of ensuring that no robot is tasked with covering features in a region without the required sensing modalities. With this information, a robot can determine which of its neighbors it should coordinate with to cover the environmental features in a region while ignoring robots that are not equipped with that particular sensory capability. We derive a distributedcontrol algorithm that allows the robots to move in a direction of descent relative to a novel locational cost, in order to minimize it. The performance of the algorithm is evaluated on a real robotic platform.
The "man," "machine," and "environment" can be seen as the three elements of the man-machine-environment system engineering (MMESE). And the "environment" refers to the special ...
详细信息
ISBN:
(纸本)9789811062322;9789811062315
The "man," "machine," and "environment" can be seen as the three elements of the man-machine-environment system engineering (MMESE). And the "environment" refers to the special conditions of people and machines (or computers),which includes both physical and social factors. The man-machine-environment system constitutes a very complex super giant system through the information transmission, information processing, and information control between three elements above. Consequently, the detection of environmental parameter plays a critical role in MMESE;in particular, the emergence of the Internet of things (IOT) technology makes the environmental factor detection development intelligent and quantitative. In our paper, we propose a design scheme of intelligent detection of environmental factors based on the IOT technology and embedded computer technology. The design of hardware circuit is integrated by the Cortex A8 chip module equipped with CC2530 wireless sensor module and the corresponding peripheral circuits, which also comprises 5 sensor nodes used to sensing environment parameters. The terminal node makes up the Zigbee wireless sensor network with coordinator node by means of star topology. And the collected data are transformed to central control gateway. Debugging through the integrated editing software IAR and visual interface designing by QT creator software within virtual machine VMware, finally we achieve intelligent detection and control of environmental factors.
The article suggests an approach to energy-saving control of street lighting based on the Smart Grid concept. An energy-saving effect is largely achieved through the round-the-clock luminary dimming. To determine the ...
详细信息
暂无评论