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Listing 31 manuscripts matching the search of "Cooperative"


The Construction and Path Analysis of the School-Enterprise Cooperative Innovation Model under the Background of the Open Independent Innovation

by Xiaoyan Wang, Shui Jing
Abstract

The organic combination of the independent innovation and open innovation opens a new pattern of innovation. Under the background of the open independent innovation, the cooperative innovation model of the school and enterprise is established, and an optimal development path model of the cooperative innovation of the school and enterprise based on the fuzzy decision control algorithm is proposed. Based on the rough set theory, a path search model of the cooperative innovation between a school and enterprise is established under the background of the open independent innovation. Under the background of the open independent innovation, the fuzzy decision-making method is used to design the fuzzy decision control algorithm for optimizing the development path of the cooperative innovation between a school and enterprise. The information feature extraction and adaptive scheduling of the cooperative innovation development path between a school and enterprise are carried out by using the adaptive weighting method. The optimal path optimization method is used to optimize the development path of the cooperative innovation in the context of the open independent innovation, so to reduce the cost of the cooperative innovation development under the background of the open independent innovation. The development efficiency of the cooperative innovation in the background of the open independent innovation is improved. The simulation results show that this method improves the development efficiency of the cooperative innovation and reduces the cost of time and economic benefits by constructing the development path model of the cooperative innovation of the school and enterprise under the background of the open independent innovation, so as to promote the development of open independent innovation and cooperation between a school and enterprise innovation development.

Online Article

An Efficient Optimized Handover in Cognitive Radio Networks using Cooperative Spectrum Sensing

by H. Anandakumar, K. Umamaheswari
Abstract

Cognitive radio systems necessitate the incorporation of cooperative spectrum sensing among cognitive users to increase the reliability of detection. We have found that cooperative spectrum sensing is not only advantageous, but is also essential to avoid interference with any primary users. Interference by licensed users becomes a chief concern and issue, which affects primary as well as secondary users leading to restrictions in spectrum sensing in cognitive radios. When the number of cognitive users increases, the overheads of the systems, which are meant to report the sensing results to the common receiver, which becomes massive. When the spectrum, which is in use becomes unavailable or when the licensed user takes the allocated band, these networks have the capability of changing their operating frequencies. In addition, cognitive radio networks are seen to have the unique capability of sensing the spectrum range and detecting any spectrum, which has been left underutilized. Further this capability of recognizing the spectrum range based on the dimensions detected, allows for determination of the band, which may be utilized. The main objective of this paper is to analyze the cognitive radio's spectrum sensing ability and evolving a self-configured system with dynamic intelligence networks without causing any interference to the primary user. The paper also brings focus to the quantitative analysis of the two spectrum sensing techniques namely; Energy Detection and Band Limited White Noise Detection. The estimation technique for detecting spectrum noise is based on the detection of probability and probability of false alarms at different Signal-to-Noise Ratio (SNR) levels using Additive White Gaussian Noise signal (AWGN). The efficiency of the proposed Cooperative CUSUM spectrum sensing algorithm performs better than existing optimal rules based on a single observation spectrum sensing techniques under cooperative networks.

Volume: 24, Issue: 4

Research On Application Of Location Technology In 3d Virtual Environment Modelling System For Substation Switch Indicator

by Lijuan Qin, Ting Wang, Chen Yao
Abstract

Substation inspection work plays a very important role in ensuring the normal production and the safe operation of a transformer substation. Use of a substation inspection robot can effectively solve the omission problems of a manual inspection. It can further improve the unmanned and automation of substation and improve security of station. A substation inspection system requires the establishment of a spatial position relation between the robot and the inspection object in the monitoring station. Key technology is the spatial location of the object being detected in the substation. The position of inspection object is unknown. This paper gives technical route of monocular vision positioning system based on switch indicator sign cooperative target. The knife switch indicator is one of the most important objects in the substation inspection. Usually the switch indicator lies in the middle or top of the substation equipment and conventional method can’t measure. This paper presents a substation label measurement method based on monocular vision. In this method, the label frame of knife switch indicator is as a cooperative target. The 3D coordinates and attitude of the label frame can be calculated in a camera coordinates system. At the same time, this paper introduces an extraction process of knife brake indicator label with multi-features under complex background. At last, we do simulation experiment for positioning technology of 3D virtual environment modeling system for substation switch indicator. Simulation results show that the method introduced in this paper can realize positioning of substation switch indicator label.

Volume: 24, Issue: 1

A Cooperative Dynamic Cluster in Multitasking Mobile Networks

by SHUFANG XU, Dazhuan Xu, Yingchi Mao, Huibin Wang
Abstract

Cluster as a classical paradigm has been often used in a multitasking mobile network and evolved into a dynamic cluster, which is motivated by the tasks with dynamic scale and nodal locations. An important question is how to synthesize the power of multiply members in a dynamic cluster and enhance the overall performance of the network. The almost universal setting is that most clusters are based on the fully connected network and the same level of tasks. To solve these questions, it should evaluate and develop the cooperation between nodes in a dynamic cluster and further propose a corresponding cooperation model. In this paper, the theoretical analysis and the basic models of cluster and dynamic cluster are introduced at first. Then an improved cooperation model of a dynamic cluster is proposed in multitasking mobile networks, which is named, cooperative dynamic cluster. As the main elements of the proposed model, the network connectivity and task priorities are also considered and discussed. Finally, a cooperative message forwarding mechanism is established to settle the cluster, the scales of which should be bounded at a reasonable level in view of a time cost. Simulation results demonstrate the efficiency of our proposed cooperative model was higher than the general dynamic cluster and normal method without cluster, respectively about 14% and 66% higher.

Volume: 23, Issue: 4

Multi agent system-based dynamic trust calculation model and credit management mechanism of online trading

by W. J. Jiang, Y. S. Xu, H. Guo, C. C. Wang, L. M. Zhang
Abstract

Now all kinds of malicious acts appear in C2C online auctions, particularly the phenomenon of trust lack and credit fraud is very outstanding. Therefore, how to build an effective trust model has become a burning problem. Based on analyzing limitations of the existing online trust transaction mechanism, and according to characteristics (such as dynamic, innominate and suppositional) of online transaction trust problem, the article proposes a dynamic trust calculation model and reputation management mechanism of online trading based on multi-Agent system. The model consists of three parts. The first part is the trust of user domain, to put importance on the influence on current trust by recent credibility status, to motivate users to adopt an agreed cooperative strategy. The second part is the weighted average of reputation feedback score. The weighted part mainly considers the trust from the reputation feedback score person (the credibility of the feedback score), the value of the transaction (to prevent the 201Ccredit squeeze201D), temporal discounted (201Cguard against the fluctuations of the credibility201D ) and other factors. The third part is to give a weighting on the community contribution, according to the action taken by a user to the other members of the community in a time domain, to increase or decrease the user2019s trust to isolate the feedback submission of the credibility and punish the fraud. The paper builds the fraud limitation mechanism, which combines the prevention beforehand, coordination in the event and punishment afterwards. The mechanism makes the online transaction safe. Theoretic proof and experimental verification indicate the following three problems can be solved effectively: 1) solving the problem, which is difficult to prevent and is that speculative user accumulates the little trusts and squeeze on the large trading; 2) preventing members from cheating by false trading or personation; 3) reducing the arbitration workload of the online business platform.

Volume: 22, Issue: 4

Task Allocation Algorithm Based On Immune System For Autonomously Cooperative Multi-Robot System

by Yunyuan Gao
Abstract

In many cases, tasks are unknown for the multi-robot system in advance. Therefore, robots are required to work cooperatively during the proceeding of tasks. Such cooperation is called autonomous cooperation. To realize autonomous cooperation in the multi-robot system, an appropriate task allocation algorithm is quite important for the efficiency of the system. Taking advantage of the interactions of antibodies and antigen stimulus of the artificial immune system, this paper proposes an immune based task allocation algorithm for the autonomously cooperative robots. Simulating the mechanism of the immune system, the immune-based task allocation algorithm is designed utilizing the interactions among the antibodies from robots. By considering the antibodies from inter- and infra-robot simultaneously, the algorithm is different from other allocation algorithms which are greedy in task allocation. Besides the interactions among the antibodies, the task allocation algorithm is developed by self-reinforcement learning of the antigen stimulus. The autonomous cooperation among robots is realized by adjusting the antigen stimulus. The allocation algorithm for the autonomously cooperative robots is demonstrated and analyzed in the simulation of box fixing, in which a group of robots must work cooperatively to fix boxes with unknown difficulty in advance.

Volume: 15, Issue: 2

Emergent Cooperative Strategies for Robot Team Sports

by Arvin Agah, Brian Doyle, Kelphen Kuok, Kazuo Tanie
Abstract

Automatic development of cooperative strategies for teams of distributed autonomous robots, or software agents, is presented in this paper. It is shown that a team of robotic agents that initially plays a random game of simulated soccer, can acquire winning strategies through successive generations, utilizing techniques of evolutionary computation. The concept of Tropism-based Control Architecture is introduced that not only allows for the evolution of cooperative strategies, but also obtains the acquired knowledge in a format that is easily comprehensible by humans. The advantage of this approach is that the cooperative strategies can then be transported onto a variety of platforms for testing and deployment. It is discussed as to why the game of robot soccer provides a good environment for this type of investigation, and how the presented concepts can have applications in multi-robot system design. The proposed cognitive architecture has been inspired by biological systems, and the paper includes a review of the related literature in the field of evolution, both in the framework of animal societies, and multi-robot teams. The results of many generations of simulated evolution are presented, accompanied by the game results and fitness characteristics. A number of soccer game strategies which are developed through the experiments are also described, where the obtained techniques for playing better team sports emerged as the result of evolutionary computation.

Volume: 6, Issue: 1

Cooperative Robotics for Multi-Target Observation

by Lynne E. Parker
Abstract

An important issue that arises in the automation of many security, surveillance, and reconnaissance tasks is that of observing (or monitoring) the movements of targets navigating in a bounded area of interest. A key research issue in these problems is that of sensor placementmdashdetermining where sensors should be located to maintain the targets in view. In complex applications involving limited-range sensors, the use of multiple sensors dynamically moving over time is required. In this article, we investigate the use of a cooperative team of autonomous sensor-based robots for the observation of multiple moving targets (a problem that we term CMOMMT). We focus primarily on developing the distributed control strategies that allow the robot team to attempt to maximize the collective time during which each target is being observed by at least one robot team member in the area of interest. Our initial efforts on this problem address the aspects of distributed control in robot teams with equivalent movement capabilities working in an uncluttered, bounded area. This article first formalizes the problem and discusses related work. We then present a distributed approximate approach to solving this problem (called A-CMOMMT) that combines low-level multi-robot control with higher-level control. The low-level control is described in terms of force fields emanating from the targets and the robots. The higher level control is presented in our ALLIANCE formalism[16,17], which provides mechanisms for fault tolerant cooperative control, and allows robot team members to adjust their low-level actions based upon the actions of their teammates. We then present the results of the ongoing implementation of our approach, both in simulation and on physical robots. To our knowledge, this is the first article addressing this research problem that has been implemented on physical robot teams.

Volume: 5, Issue: 1

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
PREVIOUS DOI PREFIX (with T&F): 10.1080/10798587
InCites Journal IMPACT FACTOR (JIF) Data

2018  0.790
2017  0.652
2016  0.644

Scimago Journal and Country Rank (SJR) Data

TWO YEAR CITATIONS PER DOCUMENT:
2018  0.993
2017  0.655
2016  0.660
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."





Journal: 1995-Present


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