Double-type player games and proportional cross-evaluation allocation method for collaborative logistics

2022 ◽  
Vol 135 ◽  
pp. 103517
Author(s):  
Qingxian An ◽  
Haoxun Chen
Keyword(s):  
Allocation Method ◽  
Collaborative Logistics

A Control Allocation Method to Reduce Roll-Yaw coupling on Tailless Aircraft

2021 ◽  
Author(s):  
Thomas R. Shearwood ◽  
Mostafa R. Nabawy ◽  
William Crowther ◽  
Clyde Warsop
Keyword(s):  
Control Allocation ◽  
Allocation Method ◽  
Tailless Aircraft

Research on Regulation Compensation Allocation Method of Virtual Power Plant

2019 ◽  
Author(s):  
Jianlin Yang ◽  
Jingbang Li ◽  
Mingxing Guo ◽  
Yichao Huang ◽  
Aili Pang ◽  
...  
Keyword(s):  
Power Plant ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Allocation Method

scholarly journals Optimality Properties of the Disc Modulo Allocation Method for k-ary Multiple Key Hashing Files

1992 ◽  
Vol 35 (4) ◽  
pp. 390-394 ◽  
Author(s):  
C. C. Chang ◽  
H. F. Lin ◽  
C. Y. Chen
Keyword(s):  
Allocation Method ◽  
Optimality Properties

M2FBalancer: A mist-assisted fog computing-based load balancing strategy for smart cities

2021 ◽  
pp. 1-15
Author(s):  
Subhranshu Sekhar Tripathy ◽  
Diptendu Sinha Roy ◽  
Rabindra K. Barik
Keyword(s):  
Load Balancing ◽  
Resource Utilization ◽  
Smart City ◽  
Load Transfer ◽  
Smart Cities ◽  
Fog Computing ◽  
Round Robin ◽  
Healthcare Management ◽  
Optimization Strategy ◽  
Allocation Method

Nowadays, cities are intended to change to a smart city. According to recent studies, the use of data from contributors and physical objects in many cities play a key element in the transformation towards a smart city. The ‘smart city’ standard is characterized by omnipresent computing resources for the observing and critical control of such city’s framework, healthcare management, environment, transportation, and utilities. Mist computing is considered a computing prototype that performs IoT applications at the edge of the network. To maintain the Quality of Service (QoS), it is impressive to employ context-aware computing as well as fog computing simultaneously. In this article, the author implements an optimization strategy applying a dynamic resource allocation method based upon genetic algorithm and reinforcement learning in combination with a load balancing procedure. The proposed model comprises four layers i.e. IoT layer, Mist layer, Fog layer, and Cloud layer. Authors have proposed a load balancing technique called M2F balancer which regulates the traffic in the network incessantly, accumulates the information about each server load, transfer the incoming query, and disseminate them among accessible servers equally using dynamic resources allocation method. To validate the efficacy of the proposed algorithm makespan, resource utilization, and the degree of imbalance (DOI) are considered as the scheduling parameter. The proposed method is being compared with the Least count, Round Robin, and Weighted Round Robin. In the end, the results demonstrate that the solutions enhance QoS in the mist assisted cloud environment concerning maximization resource utilization and minimizing the makespan. Therefore, M2FBalancer is an effective method to utilize the resources efficiently by ensuring uninterrupted service. Consequently, it improves performance even at peak times.

Collaborative logistics pickup and delivery problem with eco-packages based on time-space network

2021 ◽  
pp. 114561
Author(s):  
Yong Wang ◽  
Shouguo Peng ◽  
Xiangyang Guan ◽  
Jianxin Fan ◽  
Zheng Wang ◽  
...  
Keyword(s):  
Pickup And Delivery ◽  
Delivery Problem ◽  
Pickup And Delivery Problem ◽  
Space Network ◽  
Time Space ◽  
Collaborative Logistics

scholarly journals The Demonstration of S2P (Serial-to-Parallel) Converter with Address Allocation Method Using 28 nm CMOS Technology

2021 ◽  
Vol 11 (1) ◽  
pp. 429
Author(s):  
Min-Su Kim ◽  
Youngoo Yang ◽  
Hyungmo Koo ◽  
Hansik Oh
Keyword(s):  
Integrated Circuits ◽  
Embedded System ◽  
Low Power ◽  
High Speed ◽  
Cmos Technology ◽  
Clock Frequency ◽  
Clock Generation ◽  
Allocation Method ◽  
Evaluation Board ◽  
28 Nm

To improve the performance of analog, RF, and digital integrated circuits, the cutting-edge advanced CMOS technology has been widely utilized. We successfully designed and implemented a high-speed and low-power serial-to-parallel (S2P) converter for 5G applications based on the 28 nm CMOS technology. It can update data easily and quickly using the proposed address allocation method. To verify the performances, an embedded system (NI-FPGA) for fast clock generation on the evaluation board level was also used. The proposed S2P converter circuit shows extremely low power consumption of 28.1 uW at 0.91 V with a core die area of 60 × 60 μm2 and operates successfully over a wide clock frequency range from 5 M to 40 MHz.

Sign in / Sign up

Export Citation Format

Share Document