Fortifying the Digital Bastion: Pioneering Cybersecurity with Dynamic Secrets Management and CMDB Fusion in the Enterprise

In the relentless quest for digital sovereignty, organizations face an unprecedented challenge in safeguarding sensitive information, protecting against cyber threats, and maintaining regulatory compliance. This manuscript unveils a revolutionary blueprint for cyber resilience, empowering organizations to transcend the limitations of traditional cybersecurity paradigms and forge ahead into uncharted territories of data security excellence and frictionless secrets management experience. Enter a new era of cybersecurity innovation and continued excellence. By seamlessly integrating secrets based on logical environments and applications (assets), dynamic secrets management orchestrates and automates the secrets lifecycle management with other platform cohesive integrations. Enterprises can enhance security, streamline operations, fasten development practices, avoid secrets sprawl, and improve overall compliance and DevSecOps practice. This enables the enterprises to enhance security, streamline operations, fasten development & deployment practices, avoid secrets spawls, and improve overall volume in shipping software with paved-road DevSecOps Practices, and improve developers’ productivity. By seamlessly integrating secrets based on logical environments and applications (assets), dynamic secrets management orchestrates and automates the application secrets lifecycle with other platform cohesive integrations. Organizations can enhance security, streamline operations, fasten development & deployment practices, avoid secrets sprawl, and improve overall volume in shipping software with paved-road DevSecOps practices. Most importantly, increases developer productivity.

A FUZZY-LOGIC CONTROL ALGORITHM FOR ACTIVE QUEUE MANAGEMENT IN IP NETWORKS

Active Queue Management (AQM) is an active research area in the Internet community. Random Early Detection (RED) is a typical AQM algorithm, but it is known that it is difficult to configure its parameters and its average queue length is closely related to the load level. This paper proposes an effective fuzzy congestion control algorithm based on fuzzy logic which uses the pre- dominance of fuzzy logic to deal with uncertain events. The main advantage of this new congestion control algorithm is that it discards the packet dropping mechanism of RED, and calculates packet loss according to a preconfigured fuzzy logic by using the queue length and the buffer usage ratio. Theo- retical analysis and Network Simulator (NS) simulation results show that the proposed algorithm achieves more throughput and more stable queue length than traditional schemes. It really improves a router's ability in network congestion control in IP network.

Fuzzy Logic Inference System for Managing Intensive Care Unit Resources Based on Knowledge Graph

With the rapid growth in the availability of digital health-related data,there is a great demand for the utilization of intelligent information systems within the healthcare sector.These systems can manage and manipulate this massive amount of health-related data and encourage different decision-making tasks.They can also provide various sustainable health services such as medical error reduction,diagnosis acceleration,and clinical services quality improvement.The intensive care unit(ICU)is one of the most important hospital units.However,there are limited rooms and resources in most hospitals.During times of seasonal diseases and pandemics,ICUs face high admission demand.In line with this increasing number of admissions,determining health risk levels has become an essential and imperative task.It creates a heightened demand for the implementation of an expert decision support system,enabling doctors to accurately and swiftly determine the risk level of patients.Therefore,this study proposes a fuzzy logic inference system built on domain-specific knowledge graphs,as a proof-of-concept,for tackling this healthcare-related issue.The system employs a combination of two sets of fuzzy input parameters to classify health risk levels of new admissions to hospitals.The proposed system implemented utilizes MATLAB Fuzzy Logic Toolbox via several experiments showing the validity of the proposed system.

Logical Volume Manager在Linux中的应用

LogicalVolumeManager（LVM）原先运用于IBMAIXUnix系统，是一种分配硬盘空间到逻辑卷的方法，这种方式比传统分区分配容易做容量的调整，它让众多硬盘结合，彷徘融为一体，是一种可动态调整文件系统容量的机制。

Tuo Shan Yan Dam and City Ningbo： Exploring the Historical Logic of Urban Water Management through a Big City of China

Tuo Shan Yan Dam is a small darn which was built above Yinjiang River at the Yinjiang Town, Ningbo City, Zhejiang Province of China in 833 AD, but it is greatly contributed to Ningbo City, a current big port city of China. The dam and the matched system had become a key hydro-infrastructure to the city＇s existence and development, and irrigation of the countryside nearby the city from ninth century up to 1987, a big dam was built at upper reach to control water of the river. Tuo Shan Yan Dam functioned an important role in the local water management and met a series of purposes perfectly, mainly as： （a） regulation of the river water; （b） save the flood; （c） stop the salinization; （d） urban water supply; （e） storage of flesh water; （f） irrigation; （g） ship transportation. And it is a miracle that it has been functioned for more than one thousand years. This dam also influenced the local social life and people＇s spiritual world simultaneously. The construction of the dam and its matched hydro-system is in line with the Chinese ancient logic of urban water management to manage river to meet a multi-proposes of urban development by a key project and a systemic engineering design. It is an important case for better understanding of ancient Chinese urban water management and to learn from the history for current water sustainability. Accordingly, the dam＇s design, construction and its influence on the local societies are studied in this article.

An Investment Portfolio Management Using Software Agents that Rely on Fuzzy Logic and with Different Decision Arguments Combinations

During the development of the intellectual multi-agent investment management information system （designed for the formation of investor＇s investment decisions）, it was established that there is a lack of both necessary comprehensive researches and analysis to invoke more than one decision-making aspect （argument） for the making of investment decision, and recommendations to combine these diverse parameters. It is possible to find a lot of articles and researches in which investment decisions or investment tactics are decided on the ground of either technical or fundamental analysis, or modeling and on the ground of intellectual calculating technique （for example, fuzzy logic, neural net, genetic programming）, whereas the issues of the coordination of different techniques are not decided at all. To fill this niche, the article offers the decision applied in multi-agent investment management information system which allows to provide rationale for investment decision taking into account four aspects （arguments）, i.e., to form the recommendation to purchase/hold/sell a security paper having evaluated the following four aspects （arguments）： （a） fundamental analysis, （b） technical analysis, （c） experts and analysts＇ recommendations and （d） risk assessment. These aspects （arguments） are chosen taking into account the real most commonly occurring process of investor＇s investment decision-making. The article gives the implementation of aspects （arguments） assessment by four corresponding software agents whose decisions are implemented with a help of fuzzy logic. Besides, the article offers the technique of the unification of these aspects （arguments）. The offered intellectual multi-agent investment management information system can be tested on the internet： www.sprendimutechnologijos.lt/webapp （MADSYS project）.

Institutional Change Logic of the Reform of the Emergency Management of the Super - ministry System

As the typical institutional change,the reform of the emergency management of the super-ministry system embodies itself not only in the integration of emergency function and the combination of organizations,but also in the mechanism reform of the emergency management.As a result,it cannot avoid the accumulation logic,the intentional logic and the isomorphic logic of institutional change.It manifests as follows:from the perspective of the accumulation logic,the reform of the emergency management of the super-ministry system is influenced by the historical context and the original institution;from the perspective of intentional logic,it is influenced by the thinking set and the benefit game;from the perspective of isomorphic logic,it is constrained by the political and social structure and the institutional supply shortage.

Fuzzy-Neuro Model for Intelligent Credit Risk Management

This paper presents hybrid fuzzy logic and neural network algorithm to solve credit risk management problem. Credit risk is the risk of loss due to a debtor’s non-payment of a loan or other line of credit. A method of evaluating the credit worthiness of a customer is complex and non-linear due to the diverse combinations of risk involve. To address this problem a credit scoring method is proposed in this paper using hybrid fuzzy logic-neural network (HFNN) model. The model will be implemented, tested, and validated for individual auto loans using real life bank data. The neural network is used as the learner and the fuzzy logic is used as the implementer. The neural network will fine tune the fuzzy sets, remove redundant input variables, and extract fuzzy rules. The extracted fuzzy rules are evaluated to retain the best k number of rules that will give final and intelligent decisions. The experiment results show that the perform-ance of the proposed HFNN model is very accurate, robust, and reliable. Comparison of these results to other previous published works is also presented in this paper.

Management and Control of a DC Bus Powered by Renewable Energies

This article proposes a method of management and control of a continuous bus powered by renewable energies for autonomous applications. The DC bus is obtained from two systems of renewable sources (the solar system and the wind system) and storage battery (Lithium Ion). The continuous bus control and management procedure require efficiency in the control of the charge and discharge of the battery according to the load energy demand (DC Motor). The battery charging process is non-linear, varying over time with considerable delay, so it is difficult to achieve the best performance on control with energy management using traditional control approaches. A fuzzy control strategy is used in this article for battery control. To improve battery life, fuzzy control manages the desired state of charge (SOC). The entire system designed is modeled and simulated on MATLAB/Simulink Environment.

Fuzzy Logic Based Handover Authentication in 5g Telecommunication Heterogeneous Networks

Under various deployment circumstances,fifth-generation(5G)telecommunications delivers improved network compound management with fast communication channels.Due to the introduction of the Internet of Things(IoT)in data management,the majority of the ultra-dense network models in 5G networks frequently have decreased spectral efficiency,weak handover management,and vulnerabilities.The majority of traditional handover authentication models are seriously threatened,making them vulnerable to a variety of security attacks.The authentication of networked devices is the most important issue.Therefore,a model that incorporates the handover mechanism and authentication model must be created.This article uses a fuzzy logic model to create a handover and key management system that focuses on cloud handover management and authentication performance.In order to decrease delays in 5G networks,the fuzzy logic is built with multiple criteria that aim to reduce the number of executed handovers and target cell selection.The simulation is run to evaluate the model’s performance in terms of latency,spatial complexity,and other metrics related to authentication attack validation.

新时代“枫桥经验”的实践逻辑

新时代“枫桥经验”作为中国特色基层社会治理的原创性经验,不仅充分彰显了中国人民独立自主探索解决基层矛盾冲突、化解基层矛盾纠纷的实践智慧,而且为推进基层社会治理现代化,构建基层社会治理新格局贡献了诸多有益启示,具有独特的价值意蕴和鲜明的实践特色。坚持人民至上,尊重人民主体地位,注重发挥人民群众参与基层社会治理的首创精神,坚定不移地走群众路线是新时代“枫桥经验”的价值前提;坚持“多元共治”,汇聚多方力量,注重激发多元主体协同参与基层社会治理的内在功能,以此打造“党建引领、政府负责、社会协同、群众参与”的社会治理新模式是新时代“枫桥经验”的时代特点;坚持“三治融合”,遵循治理规律,注重协调自治、德治、法治有序参与基层社会治理的重点内容是新时代“枫桥经验”的内在意蕴;坚持与时俱进,紧随时代潮流与社会变革,勇于识变,敢于求变,善于应变,注重基层社会治理的方法创新是新时代“枫桥经验”的实践诉求。

信息资源管理跨学科人才培养的实践逻辑与影响因素

作为回应复合型人才需求的教育模式变革,跨学科人才培养是信息资源管理学科保持活力的重要源泉。首先,在梳理跨学科人才培养的契机和实践模式的基础上,解析信息资源管理跨学科人才培养的实践逻辑。其次,从知识生产框架和潜在空间领域的角度分析信息资源管理跨学科人才培养的发展方向。再次,分析信息资源管理跨学科人才培养的影响因素。最后,提出构建跨学科人才培养体系的实践路径:优化培养方案,推进课程体系改革;关注学生发展,加强师资队伍建设;完善保障机制,创新质量评价体系。

思政课教学与管理育人协同的逻辑依据与实践进路

从理论上看,实践与认识的辩证关系原理、系统组分协同理论、内化与外化的统一规律、显性教育与隐性教育的互补性是思政课教学与管理育人协同的内在依据。从现实上看,思政课教学与管理育人协同是消解知行分离、育人冲突现象与解决由实际问题引发的学生思想问题的必然选择。实践中,推动思政课教学与管理育人协同,应促进思政课教师与管理者的角色交叉,搭建思政课教学与管理育人的协同平台,构建思政课教学与管理育人的联动机制。

情境优化、结构重塑与行为纠偏:农村生态河道长效管护的路径突破

加强农村河湖管理是实施乡村振兴战略的重要任务。在自上而下的政策引导下,各级政府全面推进农村生态河道建设工作。然而,农村生态河道管护是一项长期任务和系统工程。反思既有研究从单一维度分析农村生态河道管护的局限性,在对P镇生态河道管护的运行逻辑及长效机制分析基础上发现农村生态河道要实现真正意义上的长效管护,必须构建集保障、组织、运行于一体的管护体系,并从情境优化、结构重塑、行动纠偏等三个层面提出相应的治理思路。

发展新质生产力的本质逻辑:技术进步与管理创新

新质生产力是由高素质、懂技术、会创新的新型劳动者所驱动,以数字化、信息化、智慧化的新型劳动资料作为介质,劳动对象符合高质量发展需要、维度空间更为广阔的新型生产力。发展新质生产力将有效助推我国从社会主义初级阶段向更高阶段迈进,为人类社会由信息时代迈向智慧时代提供重要支撑。技术进步是新质生产力发展的动力,管理创新是新质生产力发展的保障,二者共同构建起新质生产力的本质逻辑,组成新质生产力发展的核心引擎。推进人才培养模式转型、激发创新驱动发展活力、构筑“产学研用”发展链条、筑牢绿色科技创新底色、构建相应新质生产关系是培育和发展新质生产力的重要途径。

新时代公立医院科研管理的制度逻辑:内涵、原则与路径

本文探讨了新时代公立医院科研管理制度的逻辑内涵、变革原则及路径选择。从价值角度,强调效率与公平的整合;治理逻辑上,倡导从单一政府逻辑向政府与市场逻辑合作的转变。变革原则导向包括伦理化与市场化结合、权利与责任并重以及个体自我效能感与组织支持感相融合。路径选择上,提出塑造共同科研愿景、构建教导型组织促进持续学习,并基于核心价值观实施绩效考核,以推动公立医院科研管理制度的现代化与高效发展。

组织化下沉:危机治理中干部下沉的多重形态与行动逻辑

危机治理往往面临组织外部环境突变、组织内部功能失灵等诸多极端状况,常态化的科层管理体系不得不进行调整和再优化,以适应高度变化的外部环境。干部下沉是应急状态下实现管理重心下移、强化属地管理的重要方式。从组织化程度和目标指向性来看,S市在危机治理中形成了就地就近式下沉、突击队式下沉、定向式下沉、包干式下沉等多重组织形态,借助身份嵌入、组织嵌入、激励嵌入和技术嵌入等多种方式,实现对下沉干部的嵌入式治理。这种非常规的科层管理流程再造可以迅速转化为引导资源定向下沉、组织高效动员、推动条块关系协同、构建危机治理共同体等积极的现实推动力。危机治理中的干部下沉本质上是一种党政统合式的科层组织动员,集中统一、重心下移、赋能基层、灵活高效是其组织运作的基本逻辑,依托党政双科层化的组织结构,政治机制的权威性与行政机制的灵活性实现了有效整合。

英国市场模式职业教育管理制度:特征、局限与改进

英国市场模式职业教育管理制度具有四个本质特征:政府主要依靠经济手段干预职业教育的发展,非政府或半官方机构对职业教育的结果实施考核与认证,成本收益原则控制着职业教育培训的供给,个人必须对自己的教育和培训行为负责。该制度的狭隘性、逐利性、放任性和有限性是导致英国职业教育概念范围狭窄、企业低参与和低投入、运行混乱与成效不佳的主要原因。明确人才培养目标、开展外部质量监控,运用多种手段解决投入与参与问题,借助政府主导的培训项目推动各类劳动力的教育与培训,借助国家职业资格拓展职业教育概念、规范资格授予市场是英国政府改进市场模式局限性的主要举措。

我国高校分类发展的历史探索与实践逻辑

实现高校分类发展,既是高等教育普及化的必然要求,更是建设高等教育强国的必由之路。依托历史制度主义理论,基于对中央政府及其职能部门相关政策文件的文本分析,发现中华人民共和国成立70多年来我国高校分类发展,经历了探索建设、恢复调整、规范制度化、创新深化四个阶段,并隐含着底线思维、非均衡发展、知识社会建制、以评促建等实践逻辑,它们主导着高校分类发展的方向。未来,应借鉴历史经验,并根据新时代社会矛盾发生转化的新趋势,构建高校分类发展的包容性政策框架,发展多样、公平且有质量的高等教育。

基于PLC的仓库灯光指引系统

基于可编程逻辑控制器(Programmable Logic Controller,PLC)的仓库灯光指引系统,即利用灯光指引位置进行定位。该系统适用性广泛,不仅在仓储行业内使用,还可以应用在其他行业,为提高效率发挥重要作用。设计灯光指引系统可以实现客户端数据采集,客户端和下位机间的数据传输,以及下位机对LED灯进行驱动等功能。最后,系统利用不同灯号的不同颜色,表示不同功能的状态。