State Transition Model of Green Logistical Network in Manufacturing Engineering

2013 ◽  
Vol 340 ◽  
pp. 255-258
Author(s):  
Yong Sheng Huang ◽  
Hua Mei Du

With the developing of the technologies in the field of the Internet of things, it is much possible to achieve more information about things scattered in a certain zone. Based on the Internet of things, the information zing and modelling of the logistical network are efficient methods for logistical services. In this paper, an approach for the state transition model of logistical network is put forward, in which the sets of key elements and their states, and as well as the correlations between and among the key elements with certain states are used as components to express the states and states transition of the logistical network.

2014 ◽  
Vol 65 (3) ◽  
pp. 169-173 ◽  
Author(s):  
Amedeo Troiano ◽  
Eros Pasero

Abstract The monitoring of runway surfaces, for the detection of ice formation or presence of water, is an important issue for reducing maintenance costs and improving traffic safety. An innovative sensor was developed to detect the presence of ice or water on its surface, and its repeatability, stability and reliability were assessed in different simulations and experiments, performed both in laboratory and in the field. Three sensors were embedded in the runway of the Turin-Caselle airport, in the north-west of Italy, to check the state of its surface. Each sensor was connected to a GPRS modem to send the collected data to a common database. The entire system was installed about three years ago, and up to now it shows correct work and automatic reactivation after malfunctions without any external help. The state of the runway surface is virtual represented in an internet website, using the Internet of Things features and opening new scenarios.


Author(s):  
Robert Cerna Duran ◽  
◽  
Brian Meneses Claudio ◽  
Alexi Delgado

The increase in garbage production today is due to the exponential growth of the population worldwide, due to the fact that thousands of tons of garbage are generated daily around the world, but the mismanagement that gives them has become an environmental problem since 33% of all the garbage generated is not recycled, for that reason it is estimated that within the next three decades the amount of waste worldwide will increase to 70%. That is why in the present research work it is proposed to make an intelligent system based on the Internet of Things (IoT) that allows monitoring the garbage containers in real time representing with percentages the state of these containers and these can be collected in time by garbage trucks, and thus avoid the increase of garbage in the streets and the various types of problems that these would cause. As a result, it was obtained that the System does comply with the established conditions because it allows to monitor in real time representing by percentages the state of the garbage container, which indicates 40% as almost full and 80% indicates that it is already available for collection. Finally, it is concluded that using the Garbage Container Monitoring System will allow to better optimize the collection process and, in addition, the problems that are usually perceived today due to the amount of garbage that are registered in the streets will decrease. Keywords-- Internet of Things; Intelligent system; Real time; Environmental Problem; Monitoror; Percentage.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Hongjian Wang ◽  
Cun Li ◽  
Ying Wang ◽  
Qing Li ◽  
Xicheng Ban

This paper describes a method that addresses the transient loss of observations in sea surface target state estimations. A six degrees of freedom swing platform fixed with a MiniRadaScan is used to simulate the loss of observations. The state transition model based on the historical observation data fit prediction is designed because the existing state estimation method can only use the system model prediction while the observation is missing. An observation data sliding window width adaptive adjustment strategy is proposed that can improve the fitting accuracy of the state transition model. To solve the problem where the weight value of the Gaussian components of the Gaussian mixture filter is not changed in the time update stage while the observation is missing, an adaptive adjustment strategy for the weight is proposed based on the Chapman-Kolmogorov equation, which can improve the estimation precision under the conditions of the missing observation. The simulation test demonstrates the proposed accuracy and real-time performance of the proposed algorithm.


2021 ◽  
Vol 1 (2) ◽  
pp. 65-80
Author(s):  
I. V. Timoshenko

The author examines prospects for applying the full-range standard functionalities of automatic proximity identification systems. He discusses their performance capabilities for unique identification of library documents in the library information systems of different scaling plateau; using standards library standard identifiers in non-library information systems; the functionality of automatic proximity identification systems for library automation. The RFID technology plays the key role in developing automatic proximity identification. The library application features are examined from the viewpoint of harmonization with international and RF standards of automatic proximity identification systems. Developing the Internet of things concept gives into a new communication environment emerging based on the automatic proximity identification. This technology's standard capabilities may significantly expand the functionality of library automation. Integration of library information systems with global automatic identification systems is on agenda which is evidenced by the logic of development of information systems and library RFID.The article is written within the framework of the State Order № 730000F.99.1.BV09АА00006.


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