Full-domain collaborative deployment method of multiple interference sources and evaluation of its deployment effect

This paper realizes the full-domain collaborative deployment of multiple interference sources of the global satellite navigation system(GNSS)and evaluates the deployment effect to enhance the ability to disturb the attacker and the capability to defend the GNSS during navigation countermeasures.Key evaluation indicators for the jamming effect of GNSS suppressive and deceptive jamming sources are first created,their evaluation models are built,and their detection procedures are sorted out,as the basis for determining the deployment principles.The principles for collaboratively deploying multi-jamming sources are developed to obtain the deployment structures(including the required number,structures in demand,and corresponding positions)of three single interference sources required by collaboratively deploying.Accordingly,simulation and hardware-in-loop testing results are presented to determine a rational configuration of the collaborative deployment of multi-jamming sources in the set situation and further realize the full-domain deployment of an interference network from ground,air to space.Varied evaluation indices for the deployment effect are finally developed to evaluate the deployment effect of the proposed configuration and further verify its reliability and rationality.

Selecting suitable key supplier for core components during smart complex equipment central-private enterprises collaborative development process:from two different forms of evaluation information and matching perspective

With the development of central-private enterprises integration,selecting suitable key suppliers are able to provide core components for smart complex equipment.We consider selecting suitable key suppliers from matching perspective,for it not only satisfies natural development of smart complex equipment,it is also a good implementation of equipment project in central-private enterprises integration context.In in this paper,we carry out two parts of research,one is evaluation attributes based on comprehensive analysis,and the other is matching process between key suppliers and core components based on the matching attribute.In practical analysis process,we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows.In the analysis process,we adopt entropy-maximum deviation method(MDM)-decision-making trial and evaluation laboratory(DEMATEL)-technique for order preference by similarity to an ideal solution(TOPSIS)to obtain a comprehensive analysis.The entropy-MDM is applied to get weight value,DEMATEL is utilized to obtain internal relations,and TOPSIS is adopted to get ideal evaluated solution.We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean.Moreover,based on the aforementioned attributes and generalized power Heronian mean operator,we aggregate preference information to acquire relevant satisfaction degree,then combine the constructed matching model to get suitable key supplier.Through comprehensive analysis of selecting suitable suppliers,we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment.Through analysis for relevant factors,we find that leading role and service level are also significant for the smart complex equipment development process.

Quantitative evaluation of multi-process collaborative operation in steelmaking–continuous casting sections

The quantitative evaluation of multi-process collaborative operation is of great significance for the improvement of production planning and scheduling in steelmaking–continuous casting sections(SCCSs). However, this evaluation is difficult since it relies on an in-depth understanding of the operating mechanism of SCCSs, and few existing methods can be used to conduct the evaluation, due to the lack of full-scale consideration of the multiple factors related to the production operation. In this study, three quantitative models were developed, and the multiprocess collaborative operation level was evaluated through the laminar-flow operation degree, the process matching degree, and the scheduling strategy availability degree. Based on the evaluation models for the laminar-flow operation and process matching levels, this study investigated the production status of two steelmaking plants, plants A and B, based on actual production data. The average laminar-flow operation(process matching) degrees of SCCSs were obtained as 0.638(0.610) and 1.000(0.759) for plants A and B, respectively, for the period of April to July 2019. Then, a scheduling strategy based on the optimization of the furnace-caster coordinating mode was suggested for plant A. Simulation experiments showed higher availability than the greedy-based and manual strategies. After the proposed scheduling strategy was applied,the average process matching degree of the SCCS of plant A increased by 4.6% for the period of September to November 2019. The multi-process collaborative operation level was improved with fewer adjustments and interruptions in casting.

A COLLABORATIVE SPECTRUM SENSING SCHEME USING FUZZY COMPREHENSIVE EVALUATION IN COGNITIVE RADIO

Cognitive Radio(CR) is a promising technology to solve the challenging spectrum scarcity problem.However, to implement CR, spectrum sensing is the groundwork and the precondition.In this paper, a collaborative spectrum sensing scheme using fuzzy comprehensive evaluation is proposed.The final sensing decision of the proposed scheme is based on the combination of distributed sensing results of different Secondary Users(SUs).To improve the reliability of the sensing decision, the combination procedure takes into account the credibility of each SU, which is evaluated using fuzzy comprehensive evaluation.The effect of the presence of malicious SUs and malfunctioning SUs on the performance of the proposed scheme is also investigated.The efficiency of the scheme is validated through analysis and simulation.

Evaluation and selection of the ship collaborative design resources based on AHP and genetic and simulated annealing algorithm

The characteristics of the design resources in the ship collaborative design is described and the hierarchical model for the evaluation of the design resources is established. The comprehensive evaluation of the co-designers for the collaborative design resources has been done from different aspects using Analytic Hierarchy Process （AHP） ,and according to the evaluation results,the candidates are determined. Meanwhile,based on the principle of minimum cost,and starting from the relations between the design tasks and the corresponding co-designers,the optimizing selection model of the collaborators is established and one novel genetic combined with simulated annealing algorithm is proposed to realize the optimization. It overcomes the defects of the genetic algorithm which may lead to the premature convergenee and local optimization if used individually. Through the application of this method in the ship collaborative design system,it proves the feasibility and provides a quantitative method for the optimizing selection of the design resources.

Blockchain Security Threats and Collaborative Defense:A Literature Review

As a distributed database,the system security of the blockchain is of great significance to prevent tampering,protect privacy,prevent double spending,and improve credibility.Due to the decentralized and trustless nature of blockchain,the security defense of the blockchain system has become one of the most important measures.This paper comprehensively reviews the research progress of blockchain security threats and collaborative defense,and we first introduce the overview,classification,and threat assessment process of blockchain security threats.Then,we investigate the research status of single-node defense technology and multi-node collaborative defense technology and summarize the blockchain security evaluation indicators and evaluation methods.Finally,we discuss the challenges of blockchain security and future research directions,such as parallel detection and federated learning.This paper aims to stimulate further research and discussion on blockchain security,providing more reliable security guarantees for the use and development of blockchain technology to face changing threats and challenges through continuous updating and improvement of defense technologies.

Maturity assessment model for aircraft collaborative design software solution

In order to assure quality and control process in the development of the aircraft collaborative design software, a maturity assessment model is proposed. The requirements designing—house of quality is designed to evaluate the maturity degree of the solution, and the evaluation results can help to manage and control the development process. Furthermore, a fuzzy evaluation method based on the minimum deviation is proposed to deal with the fuzzy information. The quantitative evaluation result of the maturity degree can be calculated by optimizing the semantic discount factor aim for the minimum deviation. Finally, this model is illustrated and analyzed by an example study of the aircraft collaborative design software.

Improved Collaborative Filtering Recommendation Based on Classification and User Trust

When dealing with the ratings from users,traditional collaborative filtering algorithms do not consider the credibility of rating data,which affects the accuracy of similarity.To address this issue,the paper proposes an improved algorithm based on classification and user trust.It firstly classifies all the ratings by the categories of items.And then,for each category,it evaluates the trustworthy degree of each user on the category and imposes the degree on the ratings of the user.Finally,the algorithm explores the similarities between users,finds the nearest neighbors,and makes recommendations within each category.Simulations show that the improved algorithm outperforms the traditional collaborative filtering algorithms and enhances the accuracy of recommendation.

Design Index and Empirical Analysis of the Evaluation Index System for the Transformation of Scientific and Technological Achievements of Universities in Beijing, Tianjin and Hebei

Promoting the transformation of scientific and technological achievements of universities and colleges in Beijing, Tianjin, and Hebei is an important measure to enhance the level of scientific and technological development in universities, enhance the scientific and technological synergy of Beijing-Tianjiii-Hebei urban agglomeration, practice the coordinated development strategy of Beijing, Tianjin and Hebei, and promote the construction of Xiong'an New District. Based on the scientific and technological input of colleges and universities, the development of science and technology and the output of science and technology, this paper uses Delphi and AHP to construct a Beijing, Tianjin, Hebei University Science and Technology Achievement Transformation Performance Evaluation System from the perspectives of transformation potentials, scientific research activities and achievements transformation of university scientific and technological achievements. An empirical analysis was carried out to provide reference for the government's efficient decision-making and improvement of strategies for transforming scientific and technological achievements in universities.

人机协同的大学生个性化教育评价方法研究

大学生个性化培养是实现因材施教人才培养目标的重要内容,而个性化教育的智能化评价是衡量培养质量的有效手段,更是智能技术与教育结合的必然要求。针对传统个性化教育评价中数据采集获取难、评价过程环节多、指标数据粒度粗、实时反馈效果差,难以应对规模化、过程性、全方位、个性化发展评价难题,提出人机协同的大学生个性化教育评价方法。首先明确了人工智能技术赋能个性化教育评价的内容,然后提出了人机共建个性化教育评价指标体系与人机协同实施过程,最后展示了人机协同个性化教育评价的典型案例。人机协同的智能化评价手段,具有全天候、超时长的服务能力,可大幅提升评价的效率与质量,是新时代教育评价改革成功的重要手段,是实现教育评价现代化的有效途径。

课程思政视域下晋剧文化在山西高校的传承探究

课程思政是新时期党和国家对于高校育人提出的新要求,也是落实立德树人的重要举措。晋剧作为中华优秀传统文化的一部分,蕴含中华传统美德,传承着民族精神,体现了中华文化的自信。晋剧文化融入山西高校课程思政,面临着教学模式单一和评价机制缺失的问题,应探索多元化教学形式,并科学完善新型评价机制,形成“戏曲+思政”协同育人的大格局。

AIGC辅助教师作文评价的效果研究——以九年级语文作文为例

当前,人工智能生成内容(Artificial Intelligence Generated Content,AIGC)凭借其卓越的自然语言处理和内容创新能力在教育领域引起了广泛关注,也为创新升级作文评价工具提供了新的技术路径,但AIGC辅助教师进行作文评价的效果仍有待进一步探究。为此,文章首先收集了104篇九年级学生的作文,并由AIGC工具和五位教师分别针对作文的内容、语言和结构维度进行评价。然后,文章采用内容分析法对两种评价来源信息的评价数量、类型、层次以及准确度进行差异对比,并使用主题分析法分析了针对教师的访谈内容。研究结果表明,AIGC可以在作文评价中与教师达成评价策略互补,有效提高评价效率,但仍需提高评价深度和精准度。最后,文章根据研究结果得出相关启示,揭示了AIGC辅助教师进行作文评价的效果,以期为推动AIGC与作文教学的深度融合提供参考。

基于TPC模式的温氏班奶牛生产实训课程改革

为了适应国家、行业和企业发展对人才的需求,本文针对奶牛生产实训课程存在的不足,构建了TPC(Teaching教学、Practice实践、Competition竞赛)一体化教学模式(简称TPC模式),旨在促进理论教学与生产实践相结合、技能培养与企业需求相结合、课程考核与竞赛比拼相结合,激发学生学习兴趣,夯实教学效果,促进学生成长成才。

Mini-CEX联合MDT在急诊科住院医师规范化培训中的应用效果

目的探讨迷你临床演练评估(mini-clinical evaluation exercise,Mini-CEX)联合多学科综合治疗协作组(multidisciplinary team,MDT)在急诊科住院医师规范化培训中的运用效果。方法选择于医院急诊科进行规范化培训的住院医师,2022年6—8月进行规范化培训者为传统培训组,2022年9—11月进行规范化培训者为Mini-CEX联合MDT组。传统培训组35名,给予常规教学方式教学,Mini-CEX联合MDT组35名,给予Mini-CEX联合MDT教学,教学完成后评估规范化培训住院医师的理论成绩及实际操作技能,教学前、后通过Mini-CEX考核规范化培训住院医师的问诊能力、临床诊断、操作能力、查体能力、治疗方案、沟通能力,给予评判性思维能力量表-中文版(critical thinking disposition inventory—Chinese version,CTDI-CV)、学生自主学习能力评价量表评价,比较2组教学满意度。结果Mini-CEX联合MDT组理论知识、实际操作技能评分较传统培训组高,差异有统计学意义(P<0.001);Mini-CEX联合MDT组问诊能力、临床诊断、操作能力、查体能力、治疗方案、沟通能力评分较传统培训组高,差异有统计学意义(P<0.001);Mini-CEX联合MDT组CTDI-CV评分较传统培训组低,自主学习能力评分、教学满意度较传统培训组高,差异有统计学意义(P<0.001)。Mini-CEX联合MDT组教学满意度(97.14%)较传统培训组高(85.71%),差异有统计学意义(P<0.05)。结论在急诊科住院医师规范化培训中运用Mini-CEX联合MDT教学,可提升规范化培训住院医师理论及实践操作成绩,提升其综合临床能力、评判性思维能力、自学能力及教学满意度。

校企协同阶段式新工科创新创业人才培养模式研究

目前校企协同创新创业人才培养主要存在体系机制尚未健全、师资力量较为缺乏、主体积极性未充分激发、培养体系与就业需求不对等、人才培养评价机制不够科学等问题。为解决这些问题,本文通过构建创新创业项目驱动的“三阶段”校企协同培养模式、校企协同“理论+实践教学→专题研究→创新创业项目实施”课程体系、建立动态可扩展的创新创业项目库与多层次校企协同管理平台以及建设创新创业教育的柔性评价与多元化质量监控体系四维相结合,形成系统的、实践导向的创新创业人才培养模式,培养适应新时代需求的多元化、创新型工程技术人才。

新一轮高校审核评估指标中的科教融合协同育人思想

2021年,我国开始新一轮高校审核评估。通过深入分析新一轮审核评估指标体系,发现其中蕴含着丰富的科教融合协同育人思想,在育人理念上强调科教融合的大育人观;在育人目标上注重培养学生的创新能力;在育人队伍上强调引导高水平教师投入本科教育教学;在育人资源上强调将学科资源、科研资源应用于本科教育教学中;在育人平台上强调学校与科研院所合作,另外,应更注重教育教学本身的学术研究。

大学生全过程合作学习的组织策略和量化评价——以沈阳化工大学中外教师联合授课的材料力学课程为例

“通过合作而非竞争实现卓越”是高等教育发展的基本原则。课程是培养学生合作意识和合作能力的重要载体,文章以中外教师联合授课的材料力学课程为例,提出基于课程积分制的大学生全过程合作学习组织策略,包括简化的异质分组和团队合作成绩计算两个部分。在教学过程中,教师以先修课成绩为基础完成异质分组;学生通过完成合作学习任务获得合作学习成绩。全过程的合作学习方式注重全过程和量化评价,有助于提高学生的学习积极性和学习效果。

基于中国式职业教育现代化的职业院校治理评价指标体系构建

立足全面深化中国式现代化的战略布局,职业院校应谋划提升教育治理现代化水平,全力打造职业教育现代化治理体系。基于中国式职业教育现代化背景下的教育治理现存困境,系统梳理职业院校共生的内涵逻辑,构建基于中国式职业教育现代化的职业院校治理评价指标体系。采用基于综合赋权法,最终构建包括4个一级指标、16个二级指标的评价指标体系,并进一步提出“差异化评价”与“信息化监管”并举、“三位一体服务”与“三网融合应用”互补、“加强育人管理建设”与“促进育人模式改革”同步、“沟通协商”与“共同决策”并推的对策建议,以期辅助职业院校提高现代化治理水平,实现职业教育高质量发展。

社会体育服务进学校的治理协同度评价指标体系构建研究

社会体育服务进学校是未来学校体育发展的重要方向,协同治理理念能够有效应对社会体育服务进学校过程中的治理难题。为科学评估社会体育服务进学校的协同治理,本文以SFIC模型为依据,采用文献资料法、问卷调查法、数理统计法等研究方法,构建了包含治理主体参与度、治理主体共识度、治理主体成就度、治理主体共享度、治理主体信任度与关系持续度等5个维度、14个二级指标、49个三级指标的社会体育服务进学校的治理协同度评价指标体系。

国家创新能力评价体系及其发展:基于企业与国家协同创新视角

企业在国家创新体系中的主体地位得到进一步提升,然而现有国家创新评价体系研究对企业如何发挥创新主体作用以及如何理解企业在国家创新中的贡献研究不足,制约了国家创新能力评价实践的开展。从国家创新能力的基础概念出发,构建国家与企业层面创新能力的整合框架,从理论上指出当前国家创新能力提升存在的问题,并借助既有国家创新评价体系对整合框架的效度进行检验,发现当前国家层面创新和企业层面创新能力存在相互分离的问题,基于此提出企业与国家协同创新的创新能力构念,并梳理相关测度指标,最后展望国家创新能力评价的方向和国家创新能力建设的可能路径。