scholarly journals Designing Incentive Mechanisms for Mobile Crowdsensing with Intermediaries

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yatong Chen ◽  
Huangxun Chen ◽  
Shuo Yang ◽  
Xiaofeng Gao ◽  
Yunhe Guo ◽  
...  
Keyword(s):  
Network Model ◽  
Large Scale ◽  
Incentive Compatibility ◽  
Rapid Development ◽  
Sensor Technology ◽  
Incentive Mechanisms ◽  
Mobile Crowdsensing ◽  
Network Applications ◽  
Sensing Platform

In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities. Thus, mobile crowdsensing has received extensive attentions from both industry and academia. Recently, plenty of mobile crowdsensing applications come forth, such as indoor positioning, environment monitoring, and transportation. However, most existing mobile crowdsensing systems lack vast user bases and thus urgently need appropriate incentive mechanisms to attract mobile users to guarantee the service quality. In this paper, we propose to incorporate sensing platform and social network applications, which already have large user bases to build a three-layer network model. Thus, we can publicize the sensing platform promptly in large scale and provide long-term guarantee of data sources. Based on a three-layer network model, we design incentive mechanisms for both intermediaries and the crowdsensing platform and provide a solution to cope with the problem of user overlapping among intermediaries. We theoretically prove the properties of our proposed incentive mechanisms, including incentive compatibility, individual rationality, and efficiency. Furthermore, we evaluate our incentive mechanisms by extensive simulations. Evaluation results validate the effectiveness and efficiency of our proposed mechanisms.

An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China

2019 ◽  
Vol 39 (1) ◽  
pp. 86-100 ◽  
Author(s):  
Hao Liu ◽  
Zhong Yao ◽  
Li Zeng ◽  
Jing Luan
Keyword(s):  
Radio Frequency Identification ◽  
Operations Management ◽  
Large Scale ◽  
Rapid Development ◽  
Management Mode ◽  
Sensor Technology ◽  
Warehouse Management ◽  
Content Type ◽  
Management Level ◽  
Existing Problems

Purpose Large supermarkets, chain stores and enterprises with large-scale warehousing put forward higher standards and requirements for the automation and informatization of warehouses. As one of the fast-growing commercial supermarkets in China, the traditional warehouse management mode has restricted the rapid development of Yonghui Superstores to a certain extent. The purpose of this paper is to find out how the existing warehouse mode can be changed and to solve the existing problems of warehouse management of Yonghui Superstores. Design/methodology/approach This research puts forward construction of warehouse center, which is based on radio frequency identification (RFID) and sensor technology, then designs the model for receiving, storage, operations management, distribution and outbound to solve the existing problems of warehouse management of Yonghui Superstores. Findings What technologies should be adopted to meet storage requirements? How to monitor the storage environment in real time and improve the operation and management level of the warehouse? This study found that building a warehouse center based on RFID and sensor technology was a good solution. Research limitations/implications The Yonghui Superstores warehouse center model lacks corresponding simulation experiments, and the investment and income are difficult to estimate quantitatively. Practical implications This paper has designed and discussed the warehouse center model based on RFID and sensor technology, which provides a few references for the actual investment and construction of a warehouse center. In addition, the warehouse center model has strong generalized applicability and could be widely used in various enterprises. Social implications The warehouse center could improve the warehouse management level of Yonghui Superstores and change the traditional warehouse management mode. To some extent, it improves the enterprise flexibility of the market, which will be of great significance to improve business efficiency and enhance brand image and competitiveness. Originality/value This study takes Yonghui Superstores as a case to analyze the problems of warehousing management in detail and then designs a warehouse center based on RFID and sensor technology. The study discusses the location and distribution, software and hardware selection, benefits evaluation, significances and return on investment, which makes the warehouse center model versatile, technically feasible and economically applicable.

A Study on the Problems with Long-Term Bridge Monitoring Systems, and Suggested Solutions

2008 ◽  
Vol 47-50 ◽  
pp. 53-56
Author(s):  
Ki Tae Park
Keyword(s):  
Monitoring System ◽  
Large Scale ◽  
Fiber Optic Sensor ◽  
Sensor Technology ◽  
Monitoring Systems ◽  
Bridge Monitoring ◽  
Problems And Solutions ◽  
Bridge Structures ◽  
Bridge Monitoring System

The first long-term bridge monitoring system in Korea was installed in 1995, and many bridges have been maintained by long-term monitoring systems. Recently, reliability of data and cost effectiveness have been increased by advanced sensor technology (fiber optic sensor, RFID, USN etc) and measuring equipment. In Korea, the large-scale project for the safety network integration for long-term smart monitoring systems for bridge structures started in 2007, and this is the second year of the project. In this system, various innovative sensor types are considered. To increase the effectiveness of this network system, an analysis of the problems with the conventional long-term bridge monitoring system and solution investigations are needed. The biggest problems are low durability and data reliability because of noise, and the lack of data applications techniques. Therefore, in this paper, a brief summary of the projects is presented and the state of bridge monitoring systems in Korea is investigated, and various problems and solutions for these problems are briefly suggested.

Data Mining and its Application in Animal Husbandry Management System

2014 ◽  
Vol 926-930 ◽  
pp. 2525-2528
Author(s):  
Hui Wang ◽  
Xiao Ge Li ◽  
Tai Yu Liu ◽  
Qian Wu
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Large Scale ◽  
New Technologies ◽  
Rapid Development ◽  
Animal Husbandry ◽  
Management Tools ◽  
Management Level ◽  
The Government

Data will be an important resource, including Animal Husbandry, including many of the industry, and even determine the success or failure of an industry. Animal Husbandry management is the behavior of large amount of data, improve the management level of all walks of life requires a lot of long-term data analysis and preparation. The rapid development of China's Animal Husbandry ,but the level of information to stay in the primary stage, the further development of Animal Husbandry, the information necessary to overcome this problem. In this paper, data mining, data warehouse and other new technologies in Animal Husbandry management, large-scale farming, and the government has brought the latest regional regulatory and other management tools and data analysis for the industry to promote mining.

scholarly journals Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd

2019 ◽  
Vol 33 ◽  
pp. 1996-2003 ◽  
Author(s):  
Naman Goel ◽  
Boi Faltings
Keyword(s):  
Gold Standard ◽  
Large Scale ◽  
Incentive Mechanism ◽  
Incentive Compatibility ◽  
The Other ◽  
Important Class ◽  
Incentive Mechanisms ◽  
Game Theoretic

An important class of game-theoretic incentive mechanisms for eliciting effort from a crowd are the peer based mechanisms, in which workers are paid by matching their answers with one another. The other classic mechanism is to have the workers solve some gold standard tasks and pay them according to their accuracy on gold tasks. This mechanism ensures stronger incentive compatibility than the peer based mechanisms but assigning gold tasks to all workers becomes inefficient at large scale. We propose a novel mechanism that assigns gold tasks to only a few workers and exploits transitivity to derive accuracy of the rest of the workers from their peers’ accuracy. We show that the resulting mechanism ensures a dominant notion of incentive compatibility and fairness.

scholarly journals A FPGA-based parallel method of bridge data compression

2021 ◽  
Vol 2108 (1) ◽  
pp. 012068
Author(s):  
Jianlong Zhang
Keyword(s):  
Monitoring System ◽  
Rapid Development ◽  
Transmission Efficiency ◽  
Sensor Technology ◽  
Inspection System ◽  
Negative Effects ◽  
Term Operation ◽  
Transmission Cost ◽  
Bridge Monitoring System

Abstract With the rapid development of computer technology, sensor technology, and communication technology, people have gradually designed and continuously improved the health monitoring system of bridge structure. Due to the uninterrupted long-term work of the bridge monitoring system, the long-term operation of a large number of sensors will generate massive amounts of data, and a lot of data to be transmitted from the data collector at the bridge site to the data monitoring center requires the use of a wireless network with limited speed, which will consume a lot of time, thereby bring such negative effects as reducing transmission efficiency, reducing throughput, increasing transmission costs, and affecting the entire bridge inspection system. This paper proposes a parallel compression method of LZSS data based on FPGA, which can compress the incoming data from the sensor system in parallel in the data acquisition system to improve the transmission efficiency, increase the throughput, and reduce the transmission cost.

Simulation of Mathematical Model to Estimate the Cost of Large-Scale Hydraulic Engineering

2014 ◽  
Vol 602-605 ◽  
pp. 3239-3242
Author(s):  
Mao Liu
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Cost Estimation ◽  
Large Scale ◽  
Rapid Development ◽  
Estimation Method ◽  
Estimation Model ◽  
Project Cost ◽  
Water Project

With the rapid development of engineering construction and gradual introduction of the bidding system, project cost estimation model continues to deepen. How to estimate engineering cost fast and accurately become one of the hot topics currently. In this paper, the characteristics of large-scale water project investment risk is combined to establish a neural network model suited for large-scale water project cost, through quantitating the main features of each category of water conservancy and combining neural network model established to quickly estimate water project cost with the toolbox. After engineering examples show that it is a fast and reliable water project cost estimation method.

Evolution of Large-Scale Coronal Structures

1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož
Keyword(s):  
Magnetic Field ◽  
Field Line ◽  
Large Scale ◽  
Coronal Magnetic Field ◽  
Source Surface ◽  
Solar Cycles ◽  
Characteristic Relationship ◽  
The Magnetic Field ◽  
Coronal Structures

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.

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