Complex network routing strategy based on segmented transportation distance limit

2020 ◽  
Vol 34 (27) ◽  
pp. 2050291
Author(s):  
Yuanhao Li ◽  
Xinjian Zhuo ◽  
Hui-Jia Li
Keyword(s):  
Complex Network ◽  
Transportation Network ◽  
Routing Algorithm ◽  
Network Routing ◽  
Transmission Model ◽  
Scale Free ◽  
Transmission Distance ◽  
Wide Range ◽  
And Control ◽  
Distance Limit

In transmission problem of many complex networks, there are some restrictions on the routing path between a pair of sources and destinations, especially for the transmission process that has a segment distance limit, which has a wide range of applications in real transportation, information transmission, etc. on large real networks. In this work, we constructed a complex network transmission model, defined the transmission distance limit to [Formula: see text] and randomly selected a part of the nodes in the scale-free network as the station. Based on the shortest path algorithm and a weighted routing algorithm, we observed the results under the transmission distance limit. The results show that the setting of [Formula: see text] is important, which can be used to guide and control the fuel carrying capacity of vehicles on the transportation network. Finally, we selected two real road network for simulation and the results demonstrate the effectiveness of the algorithm in scale-free networks and real networks.

scholarly journals Controllability and Optimization of Complex Networks Based on Bridges

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Lifu Wang ◽  
Guotao Zhao ◽  
Zhi Kong ◽  
Yunkang Zhao
Keyword(s):  
Complex Networks ◽  
Complex Network ◽  
Betweenness Centrality ◽  
The Other ◽  
Connected Components ◽  
Scale Free ◽  
Scale Free Networks ◽  
Model Networks ◽  
Simulation Results ◽  
And Control

In a complex network, each edge has different functions on controllability of the whole network. A network may be out of control due to failure or attack of some specific edges. Bridges are a kind of key edges whose removal will disconnect a network and increase connected components. Here, we investigate the effects of removing bridges on controllability of network. Various strategies, including random deletion of edges, deletion based on betweenness centrality, and deletion based on degree of source or target nodes, are used to compare with the effect of removing bridges. It is found that the removing bridges strategy is more efficient on reducing controllability than the other strategies of removing edges for ER networks and scale-free networks. In addition, we also found the controllability robustness under edge attack is related to the average degree of complex networks. Therefore, we propose two optimization strategies based on bridges to improve the controllability robustness of complex networks against attacks. The effectiveness of the proposed strategies is demonstrated by simulation results of some model networks. These results are helpful for people to understand and control spreading processes of epidemic across different paths.

Non Linear Dynamic and Control of New Concept Orbital Pulley Infinitely Variable Transmission

2013 ◽  
Author(s):  
Orlando Palma ◽  
Carlos Cruz
Keyword(s):  
Separation Distance ◽  
Open Loop ◽  
Transmission Model ◽  
Variable Control ◽  
Wide Range ◽  
Continuously Variable Transmissions ◽  
Efficiency Performance ◽  
Variable Transmission ◽  
Infinitely Variable Transmission ◽  
And Control

The continuously variable transmissions (CVT) have been extensively studied, however, few studies of transmissions have been made that can reach the neutral and reverse rotational speeds through the separation distance of a half sided central pulley as a single variable control. This paper proposes a new clutchless transmission model, which operates through orbital pulleys to change velocity ratios for forward and reverse through neutral such that an infinitely variable transmission (OP-IVT) is obtained. The concept is described and explained, and the dynamic model of the system is proposed and shown in open loop. The system is also controlled via a numerical simulation program with PID control showing the dynamic closed loop behaviour of the generated model in trajectory tracking and disturbance rejection, showing the control as the capability to meet a wide range of speeds without losing the known efficiency performance of current continuously variable transmissions.

Uncertainty Spread and Control of Complex Supply Chain Networks in Manufacturing Industry

2013 ◽  
Vol 712-715 ◽  
pp. 3161-3164 ◽  
Author(s):  
Xiao Hong Qin ◽  
Bing Neng Luo ◽  
Jun Quan Gong
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Manufacturing Industry ◽  
Small World ◽  
Lead Times ◽  
Supply Chain Network ◽  
Scale Free ◽  
Supply Chain Networks ◽  
Exchange Of Information ◽  
And Control

The Authors has Commented the Complexity of Supply Chain Networks in Manufacturing Industry Based on Complex Network Theory.Complex Supply Chain Networks in Manufacturing Industry has Characteristics of Small-World and Scale-Free. the Authors has Discussed Various Uncertainties of Complex Supply Chain Networks in Manufacturing Industry. and has Analyzed Spread and Control of Uncertainty of Complex Supply Chain Network in Manufacturing Industry. the Research Showed that Shorten Delivery Lead Times and Strengthen the Exchange of Information can Effectively to Improve Enterprises Cope with Uncertainty Ability, which has Important Role to Control Uncertainty Occurrence in Manufacturing Manufacturing Complex Supply Chain Networks in Manufacturing Industry.

scholarly journals An ad-hoc network routing algorithm based on improved neural network under the influence of COVID-19

2020 ◽  
Vol 39 (6) ◽  
pp. 8767-8774
Author(s):  
Cui Kai
Keyword(s):  
Neural Network ◽  
Ad Hoc Networks ◽  
Ad Hoc Network ◽  
Prevention And Control ◽  
Ad Hoc ◽  
Routing Algorithm ◽  
Hopfield Neural Network ◽  
Network Routing ◽  
Hoc Networks ◽  
And Control

Under the influence of COVID-19, an efficient Ad-hoc network routing algorithm is required in the process of epidemic prevention and control. Artificial neural network has become an effective method to solve large-scale optimization problems. It has been proved that the appropriate neural network can get the exact solution of the problem in real time. Based on the continuous Hopfield neural network (CHNN), this paper focuses on the study of the best algorithm path for QoS routing in Ad-hoc networks. In this paper, a new Hopfield neural network model is proposed to solve the minimum cost problem in Ad-hoc networks with time delay. In the improved version of the path algorithm, the relationship between the parameters of the energy function is provided, and it is proved that the feasible solution of the network belongs to the category of progressive stability by properly selecting the parameters. The calculation example shows that the solution is not affected by the initial value, and the global optimal solution can always be obtained. The algorithm is very effective in the prevention and control in COVID-19 epidemic.

Best Neighbor Heuristic Search for Finding Minimum Paths in Transportation Networks

1998 ◽  
Vol 1651 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Jeffrey L. Adler
Keyword(s):  
Heuristic Search ◽  
Transportation Networks ◽  
Transportation Network ◽  
Search Problems ◽  
A Algorithm ◽  
Running Time ◽  
Search Effort ◽  
Wide Range ◽  
Path Search ◽  
Sparse Networks

For a wide range of transportation network path search problems, the A* heuristic significantly reduces both search effort and running time when compared to basic label-setting algorithms. The motivation for this research was to determine if additional savings could be attained by further experimenting with refinements to the A* approach. We propose a best neighbor heuristic improvement to the A* algorithm that yields additional benefits by significantly reducing the search effort on sparse networks. The level of reduction in running time improves as the average outdegree of the network decreases and the number of paths sought increases.

THE SOME QUESTIONS OF AUTONOMOUS MOTION AND MANAGEMENT OF LAND-MOBILE ROBOTIC COMPLEXES FOR UKRAINIAN GROUND FORCESE

2019 ◽  
pp. 53-58
Author(s):  
О. Кravchuk ◽  
V. Symonenkov ◽  
I. Symonenkova ◽  
O. Hryhorev
Keyword(s):  
Large Scale ◽  
Armed Forces ◽  
Distributed Information ◽  
Wide Range ◽  
Highly Effective ◽  
Information Management Systems ◽  
Robotic Devices ◽  
Principles And Standards ◽  
And Control ◽  
The Eu

Today, more than forty countries of the world are engaged in the development of military-purpose robots. A number of unique mobile robots with a wide range of capabilities are already being used by combat and intelligence units of the Armed forces of the developed world countries to conduct battlefield intelligence and support tactical groups. At present, the issue of using the latest information technology in the field of military robotics is thoroughly investigated, and the creation of highly effective information management systems in the land-mobile robotic complexes has acquired a new phase associated with the use of distributed information and sensory systems and consists in the transition from application of separate sensors and devices to the construction of modular information subsystems, which provide the availability of various data sources and complex methods of information processing. The purpose of the article is to investigate the ways to increase the autonomy of the land-mobile robotic complexes using in a non-deterministic conditions of modern combat. Relevance of researches is connected with the necessity of creation of highly effective information and control systems in the perspective robotic means for the needs of Land Forces of Ukraine. The development of the Armed Forces of Ukraine management system based on the criteria adopted by the EU and NATO member states is one of the main directions of increasing the effectiveness of the use of forces (forces), which involves achieving the principles and standards necessary for Ukraine to become a member of the EU and NATO. The inherent features of achieving these criteria will be the transition to a reduction of tasks of the combined-arms units and the large-scale use of high-precision weapons and land remote-controlled robotic devices. According to the views of the leading specialists in the field of robotics, the automation of information subsystems and components of the land-mobile robotic complexes can increase safety, reliability, error-tolerance and the effectiveness of the use of robotic means by standardizing the necessary actions with minimal human intervention, that is, a significant increase in the autonomy of the land-mobile robotic complexes for the needs of Land Forces of Ukraine.

scholarly journals Information and information resources in COVID-19: Awareness, control, and prevention

2021 ◽  
pp. 096100062110165
Author(s):  
Mohammadhiwa Abdekhoda ◽  
Fatemeh Ranjbaran ◽  
Asghar Sattari
Keyword(s):  
Low Cost ◽  
Information Resources ◽  
Age And Gender ◽  
Use Of Resources ◽  
Strategic Approach ◽  
Wide Range ◽  
Data Collection Instrument ◽  
Control And Prevention ◽  
And Gender ◽  
And Control

This study was conducted with the aim of evaluating the role of information and information resources in the awareness, control, and prevention of COVID-19. This study was a descriptive-analytical survey in which 450 participants were selected for the study. The data collection instrument was a researcher-made questionnaire. Descriptive and inferential statistics were used to analyze the data through SPSS. The findings show that a wide range of mass media has become well known as information resources for COVID-19. Other findings indicate a significant statistical difference in the rate of using information resources during COVID-19 based on age and gender; however, this difference is not significant regarding the reliability of information resources with regard to age and gender. Health information has an undisputable role in the prevention and control of pandemic diseases such as COVID-19. Providing accurate, reliable, and evidence-based information in a timely manner for the use of resources and information channels related to COVID-19 can be a fast and low-cost strategic approach in confronting this disease.

scholarly journals Gold–Carbon Nanocomposites for Environmental Contaminant Sensing

Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 719
Author(s):  
Shahrooz Rahmati ◽  
William Doherty ◽  
Arman Amani Babadi ◽  
Muhamad Syamim Akmal Che Mansor ◽  
Nurhidayatullaili Muhd Julkapli ◽  
...  
Keyword(s):  
Environmental Pollutants ◽  
High Sensitivity ◽  
Environmental Crisis ◽  
World Population ◽  
Chemical Contaminants ◽  
Carbon Nanocomposites ◽  
Minimal Sample ◽  
Wide Range ◽  
And Control ◽  
Analytical Tools

The environmental crisis, due to the rapid growth of the world population and globalisation, is a serious concern of this century. Nanoscience and nanotechnology play an important role in addressing a wide range of environmental issues with innovative and successful solutions. Identification and control of emerging chemical contaminants have received substantial interest in recent years. As a result, there is a need for reliable and rapid analytical tools capable of performing sample analysis with high sensitivity, broad selectivity, desired stability, and minimal sample handling for the detection, degradation, and removal of hazardous contaminants. In this review, various gold–carbon nanocomposites-based sensors/biosensors that have been developed thus far are explored. The electrochemical platforms, synthesis, diverse applications, and effective monitoring of environmental pollutants are investigated comparatively.

Experiences of job demand and control: A study of first line managers in for-profit psychiatric and addiction care

Work ◽  
2021 ◽  
pp. 1-9
Author(s):  
Linda Widar ◽  
Erika Wall ◽  
Sven Svensson
Keyword(s):  
First Line ◽  
Line Managers ◽  
For Profit ◽  
Job Demand ◽  
Organizational Position ◽  
Wide Range ◽  
Line Manager ◽  
Addiction Care ◽  
And Control ◽  
Demand Control

BACKGROUND: The complex position of a first line manager is characterized by heavy workload and contradictory demands. Little is known about how first line managers experience demand and control in their work. OBJECTIVES: The aim of this study was to explore experiences of demand and control among first line managers within psychiatric and addiction care. METHOD: In the present study, interviews with ten managers in for-profit psychiatric and addiction care in Sweden were analyzed with a phenomenographic approach. RESULTS: The managers experiences of demand and control implied varied and extensive responsibilities for a wide range of professions; regulation by organizational, economic, and political frameworks; creating balance in their work; and handling the emergence and consequences of acute crisis. These experiences of demand and control involved high and contradictory demands together with coexisting high and low levels of control. Many of their work characteristics could be described in terms of both demand and control. CONSLUSION: The first line managers experiences of demand and control are more complex than implied by the job demand control theory. Our results suggest that the organizational position and branch should be considered when identifying health hazards in the work environment of first line managers.

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