scholarly journals On the Lightweight Truss Structure for the Trash Can-Handling Robot

Actuators ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 214
Author(s):  
Jiawei Chen ◽  
Yan Li ◽  
Xiang Xu ◽  
Xinbo Chen
Keyword(s):  
Performance Optimization ◽  
Design Method ◽  
Lightweight Design ◽  
Rapid Development ◽  
Truss Structure ◽  
Multiple Load Cases ◽  
Inherent Frequency ◽  
Important Direction ◽  
The Cost ◽  
Multiple Load

With the rapid development of cities, the automated and intelligent garbage transportation has become an important direction for technological innovation of sanitation vehicles. In this paper, a vehicle-mounted trash can-handling robot is proposed. In order to reduce the cost of the robot and increase the loading capacity of the intelligent sanitation vehicles, a lightweight design method is proposed for the truss structure of the robot. Firstly, the parameters of the robot that are related to the load are optimized by multi-objective parameter optimization based on particle swarm optimization. Then, the material distribution of the truss structure is optimized by topology optimization under multiple load cases. Finally, the thickness of the truss structure parts is optimized by discrete optimization under multiple load cases. The optimization results show that the mass of the truss structure is reduced by 8.72%, the inherent frequency is increased by 61.08%, and the maximum stress is reduced by 10.98%. The optimization results achieve the goal of performance optimization of the intelligent sanitation vehicle, and prove the feasibility of the proposed lightweight design method.

Optimization Design for Petrochemical Data Operation Cost Management System

2013 ◽  
Vol 380-384 ◽  
pp. 4658-4662
Author(s):  
Hua Qing Shao ◽  
Wang Bin ◽  
Yu Hui Liu
Keyword(s):  
Management System ◽  
Optimization Design ◽  
Cost Management ◽  
Design Method ◽  
Rapid Development ◽  
Cost Management System ◽  
The Cost ◽  
Constrained Conditions ◽  
Operation Cost ◽  
Optimal Calculation

With the rapid development of petrochemical industry, it becomes an inevitable trend that petrochemical data operation cost should be controlled effectively. How to strengthen petrochemical data operation cost management has become one of the hot topics in petrochemical system. This paper presents a design method of petrochemical data cost management system based on multi-objective constraint calculation. The optimal cost control is guaranteed by using genetic algorithm for the optimal calculation solution on the constrained conditions of petrochemical data in order to achieve petrochemical data cost management task. The results of computer simulation with VC6.0 show that the system finished the cost management better and had good robustness.

A Novel Performance Enhancing Task Scheduling Algorithm for Cloud-Based E-Health Environment

2019 ◽  
Vol 10 (2) ◽  
pp. 102-117 ◽  
Author(s):  
Vijayakumar Pandi ◽  
Pandiaraja Perumal ◽  
Balamurugan Balusamy ◽  
Marimuthu Karuppiah
Keyword(s):  
Task Scheduling ◽  
Performance Optimization ◽  
Scheduling Algorithm ◽  
Rapid Development ◽  
Computation Time ◽  
Cloud Services ◽  
Network Bandwidth ◽  
Task Scheduling Algorithm ◽  
Efficient Resource ◽  
The Cost

The fast-growing internet services have led to the rapid development of storing, retrieving and processing health-related documents from a public cloud. In such a scenario, the performance of cloud services offered is not guaranteed, since it depends on efficient resource scheduling, network bandwidth, etc. The trade-off which lies between the cost and the QoS is that the cost should be variably low on achieving high QoS. This can be done by performance optimization. In order to optimize the performance, a novel task scheduling algorithm is proposed in this article. The main advantage of this proposed scheduling algorithm is to improve the QoS parameters which comprises of metrics such as response time, computation time, availability and cost. The proposed work is simulated in Aneka and shows better performance compared to existing paradigms.

A Novel Performance Enhancing Task Scheduling Algorithm for Cloud-Based E-Health Environment

2021 ◽  
pp. 567-582
Author(s):  
Vijayakumar Pandi ◽  
Pandiaraja Perumal ◽  
Balamurugan Balusamy ◽  
Marimuthu Karuppiah
Keyword(s):  
Task Scheduling ◽  
Performance Optimization ◽  
Scheduling Algorithm ◽  
Rapid Development ◽  
Computation Time ◽  
Cloud Services ◽  
Task Scheduling Algorithm ◽  
Efficient Resource ◽  
Health Related ◽  
The Cost

The fast-growing internet services have led to the rapid development of storing, retrieving and processing health-related documents from a public cloud. In such a scenario, the performance of cloud services offered is not guaranteed, since it depends on efficient resource scheduling, network bandwidth, etc. The trade-off which lies between the cost and the QoS is that the cost should be variably low on achieving high QoS. This can be done by performance optimization. In order to optimize the performance, a novel task scheduling algorithm is proposed in this article. The main advantage of this proposed scheduling algorithm is to improve the QoS parameters which comprises of metrics such as response time, computation time, availability and cost. The proposed work is simulated in Aneka and shows better performance compared to existing paradigms.

scholarly journals Dynamical Analysis and Optimal Control for a SEIR Model Based on Virus Mutation in WSNs

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 929
Author(s):  
Guiyun Liu ◽  
Jieyong Chen ◽  
Zhongwei Liang ◽  
Zhimin Peng ◽  
Junqiang Li
Keyword(s):  
Optimal Control ◽  
Rapid Development ◽  
Hamiltonian Function ◽  
Propagation Model ◽  
Dynamical Analysis ◽  
Optimal Control Strategy ◽  
Epidemic Dynamics ◽  
Optimization Control ◽  
The Cost ◽  
The Pontryagin Maximum Principle

With the rapid development of science and technology, the application of wireless sensor networks (WSNs) is more and more widely. It has been widely concerned by scholars. Viruses are one of the main threats to WSNs. In this paper, based on the principle of epidemic dynamics, we build a SEIR propagation model with the mutated virus in WSNs, where E nodes are infectious and cannot be repaired to S nodes or R nodes. Subsequently, the basic reproduction number R0, the local stability and global stability of the system are analyzed. The cost function and Hamiltonian function are constructed by taking the repair ratio of infected nodes and the repair ratio of mutated infected nodes as optimization control variables. Based on the Pontryagin maximum principle, an optimal control strategy is designed to effectively control the spread of the virus and minimize the total cost. The simulation results show that the model has a guiding significance to curb the spread of mutated virus in WSNs.

Research and application of new media urban landscape design method based on 5G virtual reality

2021 ◽  
pp. 1-9
Author(s):  
Guangchao Zhang ◽  
Xinyue Kou
Keyword(s):  
Virtual Reality ◽  
New Media ◽  
Urban Landscape ◽  
Design Method ◽  
Smart Cities ◽  
Rapid Development ◽  
Environmental Design ◽  
Landscape Design ◽  
Living Environment ◽  
The City

In recent years, with the rapid development of VR technology, its application range gradually involves the field of urban landscape design. VR technology can simulate complex environments, breaking through the limitations of traditional environmental design on large amounts of information processing and rendering of renderings. It can display complex and abstract urban environmental design through visualization. With the support of high-speed information transmission in the 5G era, VR technology can simulate the overall urban landscape design by generating VR panoramas, and it can also bring the experiencer into an immersive and interactive virtual reality world through VR video Experience. Based on this, this article uses the 5G virtual reality method in the new media urban landscape design to conduct research, aiming to provide an urban landscape design method with strong authenticity, good user experience and vividness. This paper studies the urban landscape design method in the new media environment; in addition, how to realize the VR panorama in the 5G environment, and also explores the image design of each node in the city in detail; and uses the park design in the city As an example, the realization process of the entire virtual reality is described in detail. The research in this article shows that the new media urban landscape design method based on 5G virtual reality, specifically to the design of urban roads, water divisions, street landscapes, and people’s living environment, makes the realization of smart cities possible.

scholarly journals Foundation Piles—A New Feature for Concrete 3D Printers

Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2545
Author(s):  
Marcin Hoffmann ◽  
Krzysztof Żarkiewicz ◽  
Adam Zieliński ◽  
Szymon Skibicki ◽  
Łukasz Marchewka
Keyword(s):  
3D Printing ◽  
Rapid Development ◽  
Construction Materials ◽  
Shallow Foundation ◽  
Soil Reinforcement ◽  
3D Printer ◽  
Permanent Formwork ◽  
3D Printers ◽  
New Feature ◽  
The Cost

Foundation piles that are made by concrete 3D printers constitute a new alternative way of founding buildings constructed using incremental technology. We are currently observing very rapid development of incremental technology for the construction industry. The systems that are used for 3D printing with the application of construction materials make it possible to form permanent formwork for strip foundations, construct load-bearing walls and partition walls, and prefabricate elements, such as stairs, lintels, and ceilings. 3D printing systems do not offer soil reinforcement by making piles. The paper presents the possibility of making concrete foundation piles in laboratory conditions using a concrete 3D printer. The paper shows the tools and procedure for pile pumping. An experiment for measuring pile bearing capacity is described and an example of a pile deployment model under a foundation is described. The results of the tests and analytical calculations have shown that the displacement piles demonstrate less settlement when compared to the analysed shallow foundation. The authors indicate that it is possible to replace the shallow foundation with a series of piles combined with a printed wall without locally widening it. This type of foundation can be used for the foundation of low-rise buildings, such as detached houses. Estimated calculations have shown that the possibility of making foundation piles by a 3D printer will reduce the cost of making foundations by shortening the time of execution of works and reducing the consumption of construction materials.

scholarly journals Solar Module Integrated Converters as Power Generator in Small Spacecrafts: Design and Verification Approach

Aerospace ◽  
2019 ◽  
Vol 6 (5) ◽  
pp. 61 ◽  
Author(s):  
Jesus Gonzalez-Llorente ◽  
Aleksander A. Lidtke ◽  
Ken Hatanaka ◽  
Ryo Kawauchi ◽  
Kei-Ichi Okuyama
Keyword(s):  
Failure Rate ◽  
Rapid Development ◽  
Electrical Power ◽  
Solar Array ◽  
Electrical Power System ◽  
Solar Module ◽  
Small Satellites ◽  
Frequent Failure ◽  
Verification Process ◽  
The Cost

As small satellites are becoming more widespread for new businesses and applications, the development time, failure rate and cost of the spacecraft must be reduced. One of the systems with the highest cost and the most frequent failure in the satellite is the Electrical Power System (EPS). One approach to achieve rapid development times while reducing the cost and failure rate is using scalable modules. We propose a solar module integrated converter (SMIC) and its verification process as a key component for power generation in EPS. SMIC integrates the solar array, its regulators and the telemetry acquisition unit. This paper details the design and verification process of the SMIC and presents the in-orbit results of 12 SMICs used in Ten-Koh satellite, which was developed in less than 1.5 years. The in-orbit data received since the launch reveal that solar module withstands not only the launching environment of H-IIA rocket but also more than 1500 orbits in LEO. The modular approach allowed the design, implementation and qualification of only one module, followed by manufacturing and integration of 12 subsequent flight units. The approach with the solar module can be followed in other components of the EPS such as battery and power regulators.

FORGERY DETECTION BY LOCAL CORRESPONDENCE

2001 ◽  
Vol 15 (04) ◽  
pp. 579-641 ◽  
Author(s):  
JINHONG KATHERINE GUO ◽  
DAVID DOERMANN ◽  
AZRIEL ROSENFELD
Keyword(s):  
Rapid Development ◽  
Personal Characteristics ◽  
Signature Verification ◽  
Forgery Detection ◽  
Good Correspondence ◽  
Value Differences ◽  
Global Statistics ◽  
The Cost ◽  
Online Verification ◽  
Interest In Research

Signatures may be stylish or unconventional and have many personal characteristics that are challenging to reproduce by anyone other than the original author. For this reason, signatures are used and accepted as proof of authorship or consent on personal checks, credit purchases and legal documents. Currently signatures are verified only informally in many environments, but the rapid development of computer technology has stimulated great interest in research on automated signature verification and forgery detection. In this paper, we focus on forgery detection of offline signatures. Although a great deal of work has been done on offline signature verification over the past two decades, the field is not as mature as online verification. Temporal information used in online verification is not available offline and the subtle details necessary for offline verification are embedded at the stroke level and are hard to recover robustly. We approach the offline problem by establishing a local correspondence between a model and a questioned signature. The questioned signature is segmented into consecutive stroke segments that are matched to the stroke segments of the model. The cost of the match is determined by comparing a set of geometric properties of the corresponding substrokes and computing a weighted sum of the property value differences. The least invariant features of the least invariant substrokes are given the biggest weights, thus emphasizing features that are highly writer-dependent. Random forgeries are detected when a good correspondence cannot be found, i.e. the process of making the correspondence yields a high cost. Many simple forgeries can also be identified in this way. The threshold for making these decisions is determined by a Gaussian statistical model. Using the local correspondence between the model and a questioned signature, we perform skilled forgery detection by examining the writer-dependent information embedded at the substroke level and try to capture unballistic motion and tremor information in each stroke segment, rather than as global statistics. Experiments on random, simple and skilled forgery detection are presented.

Median Morphological Filter Design Based on the PSO Algorithm

2011 ◽  
Vol 128-129 ◽  
pp. 181-184
Author(s):  
You Lian Zhu ◽  
Cheng Huang
Keyword(s):  
Filter Design ◽  
Design Method ◽  
Signal To Noise Ratio ◽  
Pso Algorithm ◽  
Morphological Operations ◽  
Morphological Filter ◽  
Signal To Noise ◽  
Noise Ratio ◽  
The Cost ◽  
Filter Design Method

Design of morphological filter greatly depends on morphological operations and structuring elements selection. A filter design method used median closing morphological operation is proposed to enhance the image denoising ability and the PSO algorithm is introduced for structural elements selecting. The method takes the peak value signal-to-noise ratio (PSNR) as the cost function and may adaptively build unit structuring elements with zero square matrix. Experimental results show the proposed method can effectively remove impulse noise from a noisy image, especially from a low signal-to-noise ratio (SNR) image; the noise reduction performance has obvious advantages than the other.

Fault Diagnosis of Automobile ECUs with Data Mining Technologies

2010 ◽  
Vol 40-41 ◽  
pp. 156-161 ◽  
Author(s):  
Yang Li ◽  
Yan Qiang Li ◽  
Zhi Xue Wang
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Decision Tree ◽  
Data Stream ◽  
Electronic Control Unit ◽  
Rapid Development ◽  
Reliability And Validity ◽  
Control Unit ◽  
Use Of Data ◽  
The Cost

With the rapid development of automotive ECUs(Electronic Control Unit), the fault diagnosis becomes increasingly complicated. And the link between fault and symptom becomes less obvious. In order to improve the maintenance quality and efficiency, the paper proposes a fault diagnosis approach based on data mining technologies. By making full use of data stream, we firstly extract fault symptom vectors by processing data stream, and then establish a diagnosis decision tree through the ID3 decision tree algorithm, and finally store the link rules between faults and the related symptoms into historical fault database as a foundation for the fault diagnosis. The database provides the basis of trend judgments for a future fault. To verify this approach, an example of diagnosing faults of entertainment ECU is showed. The test result testifies the reliability and validity of this diagnostic method and reduces the cost of ECU diagnosis.

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