scholarly journals The Lyapunov Optimization for Two-Tier Hierarchical-Based MAC in Cloud Robotics

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yansu Hu ◽  
Ang Gao ◽  
Changqing Wang ◽  
Wen Cao ◽  
Maode Yan
Keyword(s):  
System Performance ◽  
Optimization Technique ◽  
Superior Performance ◽  
Processing Capacity ◽  
Lyapunov Optimization ◽  
Cloud Robotics ◽  
Robot Intelligence ◽  
Channel Resource ◽  
Hardware Configuration

Cloud robotics can largely enhance the robot intelligence by offloading tasks to the cloud dynamically. However, the robots differ in their own hardware configuration such as battery and processing capacity, while the transmission frames are also a mixture of different quality of service (QoS) requirements. As the competition for limited channel resource is inevitable, how to optimize the system performance by effective resource allocation is a key problem. The paper proposes a two-tier hierarchical-based MAC (Two-Tier MAC) which means the classification exists not only in frames but also in robots. The Lyapunov optimization technique is used to maximize the time-averaged quality satisfaction. The experiments show the superior performance of the Two-Tier MAC compared with other MAC protocols especially in overloaded networks. Meanwhile, the system also presents a longer lifetime because the Two-Tier MAC takes energy balance into consideration.

Simulation modeling of packet switching network segment functioning

2019 ◽  
pp. 75-82
Author(s):  
D. V. Shelkovoy ◽  
A. A. Chernikov
Keyword(s):  
Quality Of Service ◽  
Communication Networks ◽  
Simulation Modeling ◽  
Data Stream ◽  
Switching Network ◽  
Data Packets ◽  
Channel Resource ◽  
Switching Node ◽  
Joint Examination

The testing results of required channel resource mathematical estimating models for the for serving the proposed multimedia load in packet-switched communication networks are presented in the article. The assessment of the attainable level of quality of service at the level of data packet transportation was carried out by means of simulation modeling of the functioning of a switching node of a communication network. The developed modeling algorithm differs from the existing ones by taking into account the introduced delay for processing each data stream packet arriving at the switching node, depending on the size of the reserved buffer and the channel resource for its maintenance. A joint examination of the probability of packet loss and the introduced delay in the processing of data packets in the border router allows a comprehensive assessment of the quality of service «end to end», which in turn allows you to get more accurate values of the effective data transmitted rate by aggregating flows at the entrance to the transport network.

scholarly journals Buyer Inspired Meta-Heuristic Optimization Algorithm

2020 ◽  
Vol 10 (1) ◽  
pp. 194-219 ◽  
Author(s):  
Sanjoy Debnath ◽  
Wasim Arif ◽  
Srimanta Baishya
Keyword(s):  
Optimization Algorithm ◽  
Optimization Technique ◽  
Statistical Test ◽  
Heuristic Optimization ◽  
Product Choice ◽  
Exploration And Exploitation ◽  
The Social ◽  
Engineering Problems ◽  
The Mean

AbstractNature inspired swarm based meta-heuristic optimization technique is getting considerable attention and established to be very competitive with evolution based and physical based algorithms. This paper proposes a novel Buyer Inspired Meta-heuristic optimization Algorithm (BIMA) inspired form the social behaviour of human being in searching and bargaining for products. In BIMA, exploration and exploitation are achieved through shop to shop hoping and bargaining for products to be purchased based on cost, quality of the product, choice and distance to the shop. Comprehensive simulations are performed on 23 standard mathematical and CEC2017 benchmark functions and 3 engineering problems. An exhaustive comparative analysis with other algorithms is done by performing 30 independent runs and comparing the mean, standard deviation as well as by performing statistical test. The results showed significant improvement in terms of optimum value, convergence speed, and is also statistically more significant in comparison to most of the reported popular algorithms.

scholarly journals A COMPARISON OF STRUCTURED LIGHT SCANNING AND PHOTOGRAMMETRY FOR THE DIGITISATION OF PHYSICAL PROTOTYPES

2021 ◽  
Vol 1 ◽  
pp. 11-20
Author(s):  
Owen Freeman Gebler ◽  
Mark Goudswaard ◽  
Ben Hicks ◽  
David Jones ◽  
Aydin Nassehi ◽  
...  
Keyword(s):  
Early Stage ◽  
Structured Light ◽  
Superior Performance ◽  
Specific Design ◽  
Model Quality ◽  
Stage Design ◽  
Design Changes ◽  
Structured Light Scanning ◽  
Early Stage Design

AbstractPhysical prototyping during early stage design typically represents an iterative process. Commonly, a single prototype will be used throughout the process, with its form being modified as the design evolves. If the form of the prototype is not captured as each iteration occurs understanding how specific design changes impact upon the satisfaction of requirements is challenging, particularly retrospectively.In this paper two different systems for digitising physical artefacts, structured light scanning (SLS) and photogrammetry (PG), are investigated as means for capturing iterations of physical prototypes. First, a series of test artefacts are presented and procedures for operating each system are developed. Next, artefacts are digitised using both SLS and PG and resulting models are compared against a master model of each artefact. Results indicate that both systems are able to reconstruct the majority of each artefact's geometry within 0.1mm of the master, however, overall SLS demonstrated superior performance, both in terms of completion time and model quality. Additionally, the quality of PG models was far more influenced by the effort and expertise of the user compared to SLS.

scholarly journals Evaluation of a Multicommuted Flow System for Photometric Environmental Measurements

2006 ◽  
Vol 2006 ◽  
pp. 1-9 ◽  
Author(s):  
Eva Ródenas-Torralba ◽  
Fábio R. P. Rocha ◽  
Boaventura F. Reis ◽  
Ángel Morales-Rubio ◽  
Miguel de la Guardia
Keyword(s):  
Sodium Nitroprusside ◽  
Confidence Level ◽  
System Performance ◽  
Flow System ◽  
Flow Analysis ◽  
Light Emitting ◽  
Analysis Instrument ◽  
Hardware Configuration ◽  
Photometric Measurements

A portable flow analysis instrument is described for in situ photometric measurements. This system is based on light-emitting diodes (LEDs) and a photodiode detector, coupled to a multipumping flow system. The whole equipment presents dimensions of25 cm×22 cm×10 cm, weighs circa 3 kg, and costs 650 €. System performance was evaluated for different chemistries without changing hardware configuration for determinations of (i)Fe3+withSCN-, (ii) iodometric nitrite determination, (iii) phenol with sodium nitroprusside, and (iv) 1-naphthol-N-methylcarbamate (carbaryl) withp-aminophenol. The detection limits were estimated as 22, 60, 25, and 60 ngmL-1for iron, nitrite, phenol, and carbaryl at the 99.7% confidence level with RSD of 2.3, 1.0, 1.8, and 0.8%, respectively. Reagent and waste volumes were lower than those obtained by flow systems with continuous reagent addition. Sampling rates of 100, 110, 65, and 72 determinations per hour were achieved for iron, nitrite, phenol, and carbaryl determinations

scholarly journals Influence of off-season land management on maximizing yield and quality of Curcuma longa L. cultivars

1970 ◽  
pp. 33-36
Author(s):  
A. ANBURANI
Keyword(s):  
Land Management ◽  
Management Practices ◽  
Curcuma Longa ◽  
Block Design ◽  
Quality Parameters ◽  
Polyethylene Film ◽  
Superior Performance ◽  
Yield And Quality ◽  
Randomized Block Design

The present investigation was carried out to study the effect of off season soil management practices on yield and quality of turmeric (Curcuma longa L.) cultivars. The experiment was laid out in a Factorial Randomized Block Design with ten treatments in three replications consisted of five off-season land management treatments viz., fallow (S1), summer ploughing 2 times (S2), summer ploughing 1 time (S3), solarization with transparent polyethylene film of 0.05 mm thick for 40 days (S4) and black polyethylene film for 40 days (S5). It was tested with two popular cultivars viz., Curcuma longa -1 CL-1 (V1) and Curcuma longa-2 CL-2 (V2), collected from Erode and Chidambaram. Various yield components were recorded at the time of harvest and were analysed. The yield attributing characters viz., number, length, girth and weight of mother, primary and secondary rhizomes were recorded. The treatment where solarization with transparent polyethylene film of 0.05 mm thick was tested recorded the highest yield and yield attributing characters when compared to other treatments. The same treatment also exhibited the highest fresh rhizome yield per plant, curing percentage and cured rhizome yield. The quality parameters like curcumin, oleoresin and essential oil content were also showed superior performance in the treatment where solarization with transparent polyethylene film of 0.05 mm thick was applied.

scholarly journals Online Optimization for Networked Distributed Energy Resources with Time-Coupling Constraints

2019 ◽  
Author(s):  
Shuai Fan ◽  
guangyu he ◽  
Xinyang Zhou ◽  
Mingjian Cui
Keyword(s):  
Optimization Technique ◽  
Optimization Methods ◽  
Distribution Networks ◽  
Distributed Energy ◽  
Lyapunov Optimization ◽  
Operation Conditions ◽  
Coupling Constraints ◽  
Online Implementation ◽  
Algorithmic Framework ◽  
Utility Loss

This paper proposes a Lyapunov optimization-based <a><b> </b></a>online distributed (LOOD) algorithmic framework for active distribution networks with numerous photovoltaic inverters and invert air conditionings (IACs). In the proposed scheme, ADNs can track an active power setpoint reference at the substation in response to transmission-level requests while concurrently minimizing the utility loss and ensuring the security of voltages. In contrast to conventional distributed optimization methods that employ the setpoints for controllable devices only when the algorithm converges, the proposed LOOD can carry out the setpoints immediately relying on the current measurements and operation conditions. Notably, the time-coupling constraints of IACs are decoupled for online implementation with Lyapunov optimization technique. An incentive scheme is tailored to coordinate the customer-owned assets in lieu of the direct control from network operators. Optimality and convergency are characterized analytically. Finally, we corroborate the proposed method on a modified version of 33-node test feeder. <div><br></div>

Community detection in complex networks by using membrane algorithm

2018 ◽  
Vol 29 (01) ◽  
pp. 1850003 ◽  
Author(s):  
Chuang Liu ◽  
Linan Fan ◽  
Zhou Liu ◽  
Xiang Dai ◽  
Jiamei Xu ◽  
...  
Keyword(s):  
Network Analysis ◽  
Complex Networks ◽  
Community Detection ◽  
Membrane Structure ◽  
Superior Performance ◽  
Membrane Systems ◽  
Membrane Algorithm ◽  
Differential Evolutionary Algorithm ◽  
Network Modularity

Community detection in complex networks is a key problem of network analysis. In this paper, a new membrane algorithm is proposed to solve the community detection in complex networks. The proposed algorithm is based on membrane systems, which consists of objects, reaction rules, and a membrane structure. Each object represents a candidate partition of a complex network, and the quality of objects is evaluated according to network modularity. The reaction rules include evolutionary rules and communication rules. Evolutionary rules are responsible for improving the quality of objects, which employ the differential evolutionary algorithm to evolve objects. Communication rules implement the information exchanged among membranes. Finally, the proposed algorithm is evaluated on synthetic, real-world networks with real partitions known and the large-scaled networks with real partitions unknown. The experimental results indicate the superior performance of the proposed algorithm in comparison with other experimental algorithms.

A Perspective on Tribology and Design

2021 ◽  
Vol 143 (5) ◽  
Author(s):  
Nam Pyo Suh
Keyword(s):  
System Performance ◽  
Manufacturing Systems ◽  
Rational Design ◽  
Friction And Wear ◽  
Early Stage ◽  
Symbiotic Relationship ◽  
Functional Requirements ◽  
Continuous Testing ◽  
Tribological System

Abstract The quality of design determines the performance of all tribological systems. Tribological failures of the system may be avoided through rational and creative design. In that sense, there is a symbiotic relationship between tribology and design. Many tribology problems encountered are often the result of poor system design. By properly designing the tribological system, potential failures caused by friction and wear can be avoided or minimized. Continuous testing of poorly designed tribological systems, which occur in some cases, can be costly without noticeable improvements in the system performance. Since well-designed products yield immense benefits, the creation of tribological systems based on rational design should be pursued. The biggest source of tribological problems is the coupling of the functional requirements (FRs) that are introduced during the early stage of design. We should attempt to eliminate coupled tribological systems to improve the performance of tribological systems. Some examples are given to illustrate the importance of rational designs in implementing tribological systems, including the design of additive manufacturing systems.

From the Margins to the Mainstream

2018 ◽  
pp. 311-333
Author(s):  
Ronald Ma
Keyword(s):  
System Performance ◽  
Healthcare Costs ◽  
Quality Care ◽  
Unit Cost ◽  
Poor Quality ◽  
Policy Implications ◽  
Healthcare Budget ◽  
Potential Applications ◽  
Administrative Datasets

Healthcare system performance needs information on cost and revenue of care because of the rising healthcare costs. Empowering clinicians with clinical costing information is central to the success of containing costs. This information holds clinical data linkage unifying clinical, financial and administrative datasets, and seems to facilitate the spending of scarce health care resources in a way that produces the biggest difference in clinical outcomes. This chapter looks at the methodology and processes of clinical costing and its potential applications to facilitate the delivery of value-based healthcare, which confers quality care at lowest unit cost. Policy implications would be purchasing value-based healthcare, based mostly on quality of care after removing avoidable costs for inefficiency and poor quality. Clinician participation in the clinical costing is the key to success, because clinicians will be informed of the options available to choose the most value-based healthcare, which will, in turn, take care of the tight healthcare budget. Yet, this method of clinical costing is still at the margins.

An Approach towards Survey and Analysis of Cloud Robotics

2017 ◽  
pp. 208-231 ◽  
Author(s):  
Akash Chowdhury ◽  
Swastik Mukherjee ◽  
Sourav Banerjee
Keyword(s):  
Robot Learning ◽  
Robotic System ◽  
System Quality ◽  
Storage Unit ◽  
Cloud Robotics ◽  
Processing Power ◽  
Cloud Datacenter ◽  
Total Structure ◽  
Collaborative Robot

This chapter highlights the total structure and capabilities of robotic systems. This chapter then discusses the invocation of cloud technology in robotics technology empowering the whole system with higher processing power and bigger storage unit which was not possible earlier in the conventional robotic system being restricted in on-board manipulation. The flexibility of handling big data, ability to perform cloud computing, crowed sourcing and collaborative robot learning using the cloud robotics technology has been discussed briefly. This chapter describes concepts of Cloud Enabled Standalone Robotic System (CeSRS), Cloud Enabled Networked Robotic System (CeNRS), Cloud Robotic Networking System (CRNS), Standalone Robotic System (SRS), Common Networked Robotic (CNRS), Infrastructure As A Service (IAAS), Multi Robot System, R/R and R/C Network, ROS, Tele Operated Robotic System, Quality of Service (QoS), Virtual Machine (VM) and Cloud Datacenter. The existing applications of the cloud robotics technology are also described. However, the chapter focuses on the problems either inherited from the parent technology or appeared in the child technology. This chapter further recommends some solutions, new future directions and research aspects of the cloud robotics technology depending on the applications.

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