Marine Ranching Engineering Collaborative Innovation from the Perspective of Ecological Environment

As a resource development model with both economic and ecological functions,the environmental friendliness of marine ranching products meets the environmental needs of consumers.However,the lack of technological innovation ability limits the development of marine ranching.Therefore,this research builds a marine ranching collaborative innovation system with multi-agent participation.Evolutionary game theory is used to analyze strategic choices of all parties and the conditions of system equilibrium,and numerical simulation is used to analyze the effect of relevant factors.This paper integrates the benefits from the improvement of environmental friendliness into the payoff matrix,and explains the significance of collaborative innovation to the development of marine ranching from the perspective of ecological environment.The results showed:the participation willingness of marine ranching enterprises is positively related to open innovation subject,while the participation willingness of the other two parties is negatively related to the government;The incentive effect of collaboration is negatively correlated with the government’s will,positively correlated with the other two parties;The incentive effect of government subsidies positively affects the willingness of the three parties to participate.Finally,suggestions are provided for each participant to maintain the strategic choice of marine ranching collaborative innovation system.

Optimal edge-cloud collaboration based strategies for minimizing valid latency of railway environment monitoring system

Response speed is vital for the railway environment monitoring system,especially for the sudden-onset disasters.The edge-cloud collaboration scheme is proved efficient to reduce the latency.However,the data characteristics and communication demand of the tasks in the railway environment monitoring system are all different and changeable,and the latency contribution of each task to the system is discrepant.Hence,two valid latency minimization strategies based on the edge-cloud collaboration scheme is developed in this paper.First,the processing resources are allocated to the tasks based on the priorities,and the tasks are processed parallly with the allocated resources to minimize the system valid latency.Furthermore,considering the differences in the data volume of the tasks,which will induce the waste of the resources for the tasks finished in advance.Thus,the tasks with similar priorities are graded into the same group,and the serial and parallel processing strategies are performed intra-group and inter-group simultaneously.Compared with the other four strategies in four railway monitoring scenarios,the proposed strategies proved latency efficiency to the high-priority tasks,and the system valid latency is reduced synchronously.The performance of the railway environment monitoring system in security and efficiency will be promoted greatly with the proposed scheme and strategies.

Study on the Collaborative Governance Mechanism of Ecological Environment in Changsha-Zhuzhou-Xiangtan Region under the Green Development Perspective

Natural resources and the environment,environmental capacity of China has been approaching the red alert,and long-term accumulation of ecological debt needs to be solved. The transformation of economic development mode and green economic development path are inevitable choices. The complexity and the pressureof the ecological environment governance force Changsha-Zhuzhou-Xiangtan region to change the ecological governance method. The " government-market-society" is taken as the overall framework,to build a diversified body of eco-environment collaborative governance platform. Through collaborative governance among governments,government-market collaborative governance and government-society collaborative governance,ecological capital stock is improvedin the quantity and quality,thus contributing to benigndevelopment of regional economy and society.

The ARQUIGRAFIA project: A Web Collaborative for Review Only Environment for Architecture and Urban Heritage Image

Purpose:This paper presents the ARQUIGRAFIA project,an open,public and nonprofit,continuous growth web collaborative environment dedicated to Brazilian architectural photographic images.Design/methodology/approach:The ARQUIGRAFIA project promotes the active and collaborative participation among its institutional users(GLAMs,NGOs,laboratories and research groups)and private users(students,professionals,professors,researchers),both can create an account and share their digitized iconographic collections in the same Web environment by uploading their files,indexing,georeferencing and assigning a Creative Commons license.Findings:The development of users interactions by means of semantic differentials impressions recording on visible plastic-spatial aspects of the architectures in synthetic infographics,as well as by the retrieval of images through an advanced system search based on those impressions parameters.By gamification means,the system often invites users to review images’in order to improve images’data accuracy.The pilot project named Open Air Museum that allows users to add audio descriptions to images in situ.An interface for users’digital curatorship will be soon available.Research limitations:The ARQUIGRAFIA’s multidisciplinary team gathering professorsresearchers,graduate and undergraduate students from the Architecture and Urbanism,Design,Information Science,Computer Science faculties of the University of S?o Paulo,demands continuous financial resources for grants,for contracting third party services,for the participation in scientific events in Brazil and abroad,and for equipment.Since 2016,significant budget cuts in the University of S?o Paulo own research funds and in Brazilian federal scientific agencies can compromise the continuity of this project.Practical implications:The open source template called+GRAFIA that can freely help other areas of knowledge to build their own visual Web collaborative environments.Originality/value:The collaborative nature of the ARQUIGRAFIA distinguishes it from institutional image databases on the internet,precisely because it involves a heterogeneous network of collaborators.

New Strategy of Collaborative Acquisition for Connected GNSS Receivers in Deep Urban Environments

Collaborative Positioning (CP) is a better localization technique used to locate a user in challenged environments, which is driven by the increasing presence of cellular phones and mobile devices in urban areas. The basic idea is that the mobile devices can cooperate with each other to improve their ability to determine their position. In this concept, a network of GNSS (Global Navigation Satellite System) receivers can collectively receive available satellite signals, and each receiver can receive signal measurements from other receivers via a communication link. This work shows how to use the Collective Detection (CD) approach to deal with the concept of collaborative or cooperative positioning. Specifically, this paper develops a new strategy allowing a receiver in deep urban environment to locate using the CD approach, while overcoming the implementation complexity problem. The idea consists in applying the CD approach in the case of multiple GNSS receivers to assist a receiver in a difficult situation. A typical case of two connected receivers assisting a receiver in difficulty in a deep urban area shows the effectiveness of this strategy. This strategy is tested with real GNSS signals to analyze its feasibility. The overall gain in complexity can reach up to 46% of what has been achieved in previous works.

CONSTRUCTION OF INTEGRATED CAD TOOLS ENVIRONMENT TO SUPPORT CONCURRENT COLLABORATIVE DESIGN

A CAD tools environment is described to support concurrent collaborative design. The environment has four components: shared design representation, design process control, CAD tools, designer interface. Some related issues for the construction, such as form feature handling, constraint satisfaction, design process control, STEP based information integration, are discussed in more detail.

A Device to Improve Collaborative Practices of Sanitation Department Agents of a Territory: The Case of the Lamkansa District in Casablanca

The aim of this article is to strengthen and improve the collaboration between professional agents of a service that manages one of the technical processes acting on a given territory by synchronizing the spatio-temporal dimensions including all agents assembled for the task. This proposal was tested in the Lamkansa neighborhood in Casablanca, Morocco. The employed approach is based GIS resources and on systemic analysis of communication present in a territory. We were inspired by several methodological developments that carried multi-actor processes in land use planning. We focused our work on strengthening the collaboration between professionals, field agents and office agents, in the process of design and monitoring the liquid sanitation system. The device is based on geolocation and synchronous feedback of topological, geographical, and multimedia data related to the liquid sanitation network. Thanks to a geo-collaborative, participative, and motivating logic, we reduced the management costs of the network and made it faster and more efficient by equally mobilizing another type of non-specialized actors (the inhabitants). This device uses spatial and temporal dimensions to consolidate collaborative work tools through ICT and GIS technologies that thematize and exchange information collected in the field. Furthermore, this device raises great interest as it entails the concept of integration of several actors in a geo-collaborative mode while combining geomatics with communication and information sciences.

Collaborative Clustering Parallel Reinforcement Learning for Edge-Cloud Digital Twins Manufacturing System

To realize high-accuracy physical-cyber digital twin(DT)mapping in a manufacturing system,a huge amount of data need to be collected and analyzed in real-time.Traditional DTs systems are deployed in cloud or edge servers independently,whilst it is hard to apply in real production systems due to the high interaction or execution delay.This results in a low consistency in the temporal dimension of the physical-cyber model.In this work,we propose a novel efficient edge-cloud DT manufacturing system,which is inspired by resource scheduling technology.Specifically,an edge-cloud collaborative DTs system deployment architecture is first constructed.Then,deterministic and uncertainty optimization adaptive strategies are presented to choose a more powerful server for running DT-based applications.We model the adaptive optimization problems as dynamic programming problems and propose a novel collaborative clustering parallel Q-learning(CCPQL)algorithm and prediction-based CCPQL to solve the problems.The proposed approach reduces the total delay with a higher convergence rate.Numerical simulation results are provided to validate the approach,which would have great potential in dynamic and complex industrial internet environments.

Edge-Cloud Collaborative Optimization Scheduling with Micro-Service Architecture

The architecture of edge-cloud cooperation is proposed as a compromising solution that combines the advantage of MEC and central cloud. In this paper we investigated the problem of how to reduce the average delay of MEC application by collaborative task scheduling. The collaborative task scheduling is modeled as a constrained shortest path problem over an acyclic graph. By characterizing the optimal solution, the constrained optimization problem is simplified according to one-climb theory and enumeration algorithm. Generally, the edge-cloud collaborative task scheduling scheme performance better than independent scheme in reducing average delay. In heavy workload scenario, high blocking probability and retransmission delay at MEC is the key factor for average delay. Hence, more task executed on central cloud with abundant resource is the optimal scheme. Otherwise, transmission delay is inevitable compared with execution delay. MEC configured with higher priority and deployed close to terminals obtain more performance gain.

MULTI-AGENT COLLABORATIVE DESIGN SYSTEM MODEL BASED ON THE INTERNET AND EXPERIMENTS

Development of complicated products is a project of system engineering It involves extensive and complicated knowledge,design methods and auxiliary technology Various factors affect each other So,modern product development is a typical group problem with distributed and dynamic features It is apparent superiority to solve this problem with a multi agent system representing various knowledge domains Distributed artificial intelligence knowledge being used,the multi agent collaborative design system concept and model based on Internet environment are put forward The realizing method of product developing agents,interactive process among multi agents,and organization and implementing of the design project of the multi agent collaborative design system are discussed in detail Application examples are also presented.

Multi-Actor Geo-Collaborative Device for Collecting Household Waste in Urban Areas: A Case Study of Lamkansa District, Casablanca, Morocco

The aim of this paper is to develop a Multi-Actor Geo-Collaborative Device to improve the processes of household waste collect (HWC) in urban areas. The proposed device will be tested in the Lamkansa district, in the southwestern part of Casablanca city, Morocco. The approach used is a systemic analysis of communication in order to act on a territory. We have been inspired by several methodological developments concerning multi-actor processes of land use planning. We focused our work on the involvement of the inhabitants in the process of household waste collect. The results show that the urban population can help and contribute to the development of complementary solutions to improve the urban environment and their living environment. Moreover, by integrating citizens in HWC processes, as well as decision communication, we can reduce household waste management costs and make it faster and more efficient, through a geo-collaborative, participatory and incentive logic. The approach described in this article is original, not only considering the technologies used to present and share the collected information, but also regarding the concept of integrating several actors in a collaborative/incentive mode. It arouses great interest by combining geomatics with communication and information sciences. It contributes to improve the participation of the inhabitants in the life of their urban environment in order to establish a reinforced dialogue on the future of their city and public health. Also, it involves the development and testing of new devices and tools for multi-actor collaboration.

Novel Architecture of Security Orchestration, Automation and Response in Internet of Blended Environment

New technologies that take advantage of the emergence of massive Internet of Things(IoT)and a hyper-connected network environment have rapidly increased in recent years.These technologies are used in diverse environments,such as smart factories,digital healthcare,and smart grids,with increased security concerns.We intend to operate Security Orchestration,Automation and Response(SOAR)in various environments through new concept definitions as the need to detect and respond automatically to rapidly increasing security incidents without the intervention of security personnel has emerged.To facilitate the understanding of the security concern involved in this newly emerging area,we offer the definition of Internet of Blended Environment(IoBE)where various convergence environments are interconnected and the data analyzed in automation.We define Blended Threat(BT)as a security threat that exploits security vulnerabilities through various attack surfaces in the IoBE.We propose a novel SOAR-CUBE architecture to respond to security incidents with minimal human intervention by automating the BT response process.The Security Orchestration,Automation,and Response(SOAR)part of our architecture is used to link heterogeneous security technologies and the threat intelligence function that collects threat data and performs a correlation analysis of the data.SOAR is operated under Collaborative Units of Blended Environment(CUBE)which facilitates dynamic exchanges of data according to the environment applied to the IoBE by distributing and deploying security technologies for each BT type and dynamically combining them according to the cyber kill chain stage to minimize the damage and respond efficiently to BT.

智慧学习环境中的人机协同设计

作为教育数字化转型的首要任务,智慧学习环境建设过分强调技术之于教育的能力,而忽略教育主体的价值与地位,涌现出场景割裂、数据孤岛等问题。人机协同旨在充分发挥人与机器的优势,弥补彼此的劣势,成为指导智慧学习环境创设与优化的最优解。研究将人机协同视为智慧学习环境设计的基线思维,构建了由数据模型层、技术支撑层和场景应用层三个层级,包含场景、数据、模型、资源、工具与服务等六个要素的智慧学习环境概念模型。基于普瑞斯的人机功能分配决策矩阵理论,提出了AI讲师、执行型AI+人类助手、伙伴型AI+人类同侪、助教型AI+人类教练、人类导师等五种人机协同模式。在此基础上,研究制定了智慧学习环境各层级的设计原则,分析了数据模型层的决策协同设计、技术支撑层的交互协同设计和场景应用层的流程协同设计,讨论了人机协同模式中人机互信和价值对齐的建构策略,以期指导智慧学习环境中的人机协同设计。

黄河流域水资源-生态-城市-产业协同演进研究

为考察黄河流域水资源-生态-城市-产业协同的动态演进及其地区差异和来源,基于2016—2020年黄河流域76个主要地级市数据,采用协同度模型、核密度估计和Dagum基尼系数及其分解方法进行实证测度。结果表明:处于初级、中级和良好协同的城市数量分别为30个、33个和13个。各城市协同度水平呈现上升趋势,但城市间绝对差异在扩大,相对差异在缩小;除呼包鄂榆城市群外,其他六大城市群协同度绝对差异均呈扩大趋势。黄河上游和下游内部差异呈下降趋势,中游内部差异呈上升趋势;上游和中游间差异最大,且呈现进一步扩大趋势,上游和下游间差异逐渐缩小。呼包鄂榆城市群群内差异最小,关中城市群群内差异最大;关中城市群与山东半岛城市群群间差异最小,晋中城市群与山东半岛城市群群间差异最大。未来应进一步加强要素协同、区域协同,发挥各地区动态比较优势,因地制宜推进黄河流域生态保护和高质量发展重大国家战略深入实施。

复杂人机共融场景中人体姿态识别及避碰策略综述

智能机器人与人类智慧的融合,即人机协作共融,已经实现了将机器人的机械优势和人类的高级认知能力集中于同一个工作架构之中,能够在复杂环境中协同作业,从而提高效率。针对复杂的人机共融场景,特别是机器人在诸如光线条件变化、背景干扰以及运动过程,对比总结了基于机器视觉的人体姿态识别方法和基于机器学习的避碰策略,详细比较各类方法的研究现状及应用,并探讨了基于深度学习的目标识别和避碰方法的发展及应用。

长江经济带水生态环境治理区域协同立法的检视及完善途径

为充分发挥法律对区域环境发展和利益协调的保障作用,基于长江经济带水生态环境治理现状对部分省市已出台的相关规范性文本进行了梳理。结果表明,各地采取的立法模式主要以松散型立法模式为主,尚存在松散型立法模式与水生态环境治理需求不匹配、区域间主体协调机制未建立、协同立法后评估和清理工作机制不完善等问题。因此提出了将现有的松散型立法模式转变为紧密型立法模式,构建区域协同立法利益协调机制和完备协同立法后评估和清理机制等长江经济带水生态环境治理区域协同立法的完善路径。

多中心协同治理:何以可能,何以可为?——基于江苏C县农村人居环境治理的经验诠释

从多中心协同治理的理论逻辑出发,构建“政府、企业、村民、社会组织”多中心主体下的协同治理机制,聚焦主体之间互动关系的生成机制和运行逻辑,并以江苏省C县农村人居环境的治理实践作为典型案例进行解析。研究表明,多中心协同治理是一种节本增效且具备操作性的治理方案,具备中国乡村场域的现实支撑,即主要通过沟通协作、资源整合、目标耦合以及利益联结,明确治理体系中各主体的功能定位,进而对行政规制、市场经济、村民自治、社会参与等进行界定分工,由此有效调动各方的积极性和能动性,实现激励相容与优势互补,最终形成治理合力。

流域生态环境协同治理法律机制研究

由“流域一体化管理”过渡到“流域协同治理”,克服流域碎片化管理遗留的症结,是流域生态环境保护的根本追求,也是实现流域可持续发展的迫切需要。生态环境协同治理与地方政府的治理能力和治理体系相关联。完善流域生态环境协同治理的法律机制,不仅需要考量流域生态环境协同治理的现实状况,根据流域生态环境协同治理面临的适法障碍、司法协作不够、执法机制受限等困境,分类施策,构建完备的立法规范、紧密的司法协作、严格的执法体系,以期推动流域生态环境协同共治,促进流域绿色发展。

产学研协同创新能力影响因素分析——基于创新环境及协同意愿的视角

产学研合作体制主导下的协同创新是面对当前复杂环境变化的一种深层创新模式,受到学界、政界及商界等多方关注。以产学研协同创新为研究对象,探讨技术环境、产业环境、政策环境、协同创新意愿及创新投入五个因子对协同创新绩效的影响,能够更好地促进以市场为导向的产学研深度融合创新体系建立。基于385份有效调查样本的实证分析发现:五个因子均对协同创新绩效产生正向显著影响。其中技术投入对创新产出影响最大,其次是技术环境,影响最小的是政策环境。因此应当通过加强政府的协调与支持、完善协同创新的技术环境、提高科技中介服务水平、完善利益分配机制,提升产学研协同创新水平。