The Research on Open Sharing of Higher Education Park Based on Intelligent Security System

The intelligent security system is a series of systems that use modern information technology means such as artificial intelligence, cloud computing, big data, face recognition to carry out comprehensive monitoring, early warning, prevention and control, disposal, etc, for security protection. It is the development trend of security system in the future, and it is also the basis for open sharing between higher education parks and universities. By using content analysis, unstructured interviews and other research methods, this paper deeply studies the feasibility and basic ideas of the construction of intelligent security system in Shahe Higher Education Park, and forms basic experience and typical practices through the project construction, which further promotes the more intelligent, standardized and scientific safety management in colleges and universities. It really provides an important theoretical basis and practical guidance for the opening and sharing between higher education parks and universities.

Intelligent Parking Management System by Multi-Agent Approach:The Case of Urban Area of Tunis

By coordination and cooperation between multi-agents, this paper proposes the network of intelligent agents which can reduce the search time needed to finding a parking place. Based on multi-agent model, the fined solution is designed to help drivers in finding a parking space at anytime and anywhere. Three services are offered: the search for a vacant place, directions to a parking space and booking a place for parking. The results of this study generated by the platform MATSim transport simulation, show that our approach optimizes the operation of vehicles in a parking need with the aim of reducing congestion, and improve traffic flow in urban area. A comparison between the first method where the vehicles are random and the second method where vehicles are steered to vacant parking spaces shows that the minimization of time looking for a parking space could improve circulation by reducing the number of cars in the morning of 2% and 0.7% of the evening. In addition, the traffic per hour per day was reduced by approximately 4.17%.

Smart Parking Management System “MOTAH”

With a surge in the university’s student and staff population, parking problems and congestion have rapidly intensified. The recent inclusion of women drivers, particularly during official working hours, has exacerbated these challenges. This pressing issue underscores the critical necessity for a structured approach to managing university entries and overseeing parking at the gates. The proposed smart parking management system aims to address these concerns by introducing a design concept that restricts unauthorized access and provides exclusive parking privileges to authorized users. Through image processing, the system identifies available parking spaces, relaying real-time information to users via a mobile application. This comprehensive solution also generates detailed reports (daily, weekly, and monthly), aiding university safety authorities in future gate management decisions.

Intelligent Parking Management System Based on Image Processing

This paper aims to present an intelligent system for parking space detection based on image processing technique. The proposed system captures and processes the rounded image drawn at parking lot and produces the information of the empty car parking spaces. In this work, a camera is used as a sensor to take photos to show the occupancy of car parks. The reason why a camera is used is because with an image it can detect the presence of many cars at once. Also, the camera can be easily moved to detect different car parking lots. By having this image, the particular car parks vacant can be known and then the processed information was used to guide a driver to an available car park rather than wasting time to find one. The proposed system has been developed in both software and hardware platform. An automatic parking system is used to make the whole process of parking cars more efficient and less complex for both drivers and administrators.

Endogenous Security-Aware Resource Management for Digital Twin and 6G Edge Intelligence Integrated Smart Park

The integration of digital twin(DT)and 6G edge intelligence provides accurate forecasting for distributed resources control in smart park.However,the adverse impact of model poisoning attacks on DT model training cannot be ignored.To address this issue,we firstly construct the models of DT model training and model poisoning attacks.An optimization problem is formulated to minimize the weighted sum of the DT loss function and DT model training delay.Then,the problem is transformed and solved by the proposed Multi-timescAle endogenouS securiTy-aware DQN-based rEsouRce management algorithm(MASTER)based on DT-assisted state information evaluation and attack detection.MASTER adopts multi-timescale deep Q-learning(DQN)networks to jointly schedule local training epochs and devices.It actively adjusts resource management strategies based on estimated attack probability to achieve endogenous security awareness.Simulation results demonstrate that MASTER has excellent performances in DT model training accuracy and delay.

Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma:Challenges and opportunities

Hepatocellular carcinoma(HCC)constitutes the fifth most frequent malignancy worldwide and the third most frequent cause of cancer-related deaths.Currently,treatment selection is based on the stage of the disease.Emerging fields such as three-dimensional(3D)printing,3D bioprinting,artificial intelligence(AI),and machine learning(ML)could lead to evidence-based,individualized management of HCC.In this review,we comprehensively report the current applications of 3D printing,3D bioprinting,and AI/ML-based models in HCC management;we outline the significant challenges to the broad use of these novel technologies in the clinical setting with the goal of identifying means to overcome them,and finally,we discuss the opportunities that arise from these applications.Notably,regarding 3D printing and bioprinting-related challenges,we elaborate on cost and cost-effectiveness,cell sourcing,cell viability,safety,accessibility,regulation,and legal and ethical concerns.Similarly,regarding AI/ML-related challenges,we elaborate on intellectual property,liability,intrinsic biases,data protection,cybersecurity,ethical challenges,and transparency.Our findings show that AI and 3D printing applications in HCC management and healthcare,in general,are steadily expanding;thus,these technologies will be integrated into the clinical setting sooner or later.Therefore,we believe that physicians need to become familiar with these technologies and prepare to engage with them constructively.

Research on Key Points of Design of Standard Plants in Modern Industrial Parks Under the Background of Promoting the Development of New Quality Productive Forces

With the progress of science and technology and the acceleration of industrialization,the modern industrial park is an important carrier of industrial development.The importance of its standard plant design has become increasingly prominent.With the development of new quality productive forces as the background,this research deeply discusses the key points of standard plant design in modern industrial parks.This paper uses literature review and case analysis to systematically analyze the important role of standard plant design in developing new quality productive forces in modern industrial parks and puts forward suggestions for optimizing design.It is found that the rationality,intelligence,and environmental protection of plant design are the key factors affecting the development of new quality productive forces.The paper summarizes the core points of modern industrial park standard plant design to provide a reference for the future development of related industries.

U-PARK智慧停车创新理念研究及实践探索

停车难、行车难是城市化进程发展到一定阶段不可避免的产物,针对国家提出的“新基建”、“绿色转型”等政策,城市向地下空间延伸已是不可逆转的趋势。该文提出U-PARK智慧停车创新理念,依托南京示范工程,阐述了建筑、结构、高密度立体停车架构、智慧管理系统设计,引入了适合于密集建筑区超深地下空间开发的机械掘进悬吊拼装竖井施工工艺,并对投融资模式、经济效益及运营模式进行简要分析,对衍生技术的未来应用场景进行展望。

Three-dimensional visualization and virtual reality simulation role in hepatic surgery:Further research warranted

Artificial intelligence(AI)is the study of algorithms that enable machines to analyze and execute cognitive activities including problem solving,object and word recognition,reduce the inevitable errors to improve the diagnostic accuracy,and decision-making.Hepatobiliary procedures are technically complex and the use of AI in perioperative management can improve patient outcomes as discussed below.Three-dimensional(3D)reconstruction of images obtained via ultrasound,computed tomography scan or magnetic resonance imaging,can help surgeons better visualize the surgical sites with added depth perception.Preoperative 3D planning is associated with lesser operative time and intraoperative complications.Also,a more accurate assessment is noted,which leads to fewer operative complications.Images can be converted into physical models with 3D printing technology,which can be of educational value to students and trainees.3D images can be combined to provide 3D visualization,which is used for preoperative navigation,allowing for more precise localization of tumors and vessels.Nevertheless,AI enables surgeons to provide better,personalized care for each patient.

Reservation Based Optimal Parking Lot Recommendation Model in Internet of Vehicle Environment

In order to solve the problem that the drivers can't find the optimal parking lot timely,a reservation based optimal parking lot recommendation model in Internet of Vehicle(IoV) environment is designed.Based on the users oriented parking information recommendation system,the model considers subjective demands of drivers comprehensively,makes a deeply analysis of the evaluation indicators.This recommendation model uses a phased selection method to calculate the optimal objective parking lot.The first stage is screening which based on the users' subjective parking demands;the second stage is processing the candidate parking lots through multiple attribute decision making.Simulation experiments show that this model can effectively solve the problems encountered in the process of finding optimal parking lot,save the driver's parking time and parking costs and also improve the overall utilization of parking facilities to ease the traffic congestion caused by vehicles parked patrol.

Developing of the EV charging and parking shed of BIPV

Building-integrated photovoltaic(BIPV) is an important application way of solar photovoltaic power. The electric vehicle(EV) charging and parking shed of BIPV is the regeneration energy intellectual integration demonstration application system collection of photovoltaic(PV) grid power,PV off- grid power,EV charging and parking shed,and any part of the functions and their combination will be engaged in practical application on demand. The paper describes the PV shed system structure and design in detail with the present of its actual photos. The shed is 50 m long and 5.5 m wide and capable of parking 18 cars. Under the control of system intellectual controller,the power produced by PV from sunlight will charge the parking EV car prior to charging the storage battery,charging the storage battery prior to grid power,grid power at last,and charge the EV by utility grid when it is a cloudy or rainy day.

Glimpse into the future of prosthodontics:The synergy of artificial intelligence

Prosthodontics,deals in the restoration and replacement of missing and structurally compromised teeth,this field has been remarkably transformed in the last two decades.Through the integration of digital imaging and threedimensional printing,prosthodontics has evolved to provide more durable,precise,and patient-centric outcome.However,as we stand at the convergence of technology and healthcare,a new era is emerging,one that holds immense promise for the field and that is artificial intelligence(AI).In this paper,we explored the fascinating challenges and prospects associated with the future of prosthodontics in the era of AI.

考虑CAV自主停车行为的混合交通均衡配流模型

为了评估网联自动驾驶汽车(CAV)的自主停车行为对交通系统效率的影响,建立了CAV通勤流、人工驾驶汽车(HDV)通勤流、CAV自主停车流3类交通流混行下的交通均衡配流模型.通过引入CAV停车需求内生变量,考虑CAV对路段通行能力的提升效应,从而定量描述CAV停车需求分布以及3类交通流在路段上混行的拥挤效应.分别采用用户均衡、随机用户均衡原则描述CAV、HDV出行者的路径选择行为,采用Logit离散选择模型描述自主停车CAV的停车场选择行为,由此建立多用户混合交通均衡条件以及等价的变分不等式(VI)模型.由于模型中CAV自主停车需求为未知的内生变量,提出一种改进的相继加权平均法求解该模型.最后,通过算例验证了混合交通均衡配流模型及求解算法的有效性.

智慧化工园区建设现状及未来发展趋势研究

总结了我国智慧化工园区发展现状,剖析了智慧化工园区建设运行存在的问题,提供了智慧化工园区建设与管理提升建议,展望了智慧化工园区未来发展趋势。

泛在可信物联网技术在智慧社区中的应用

针对当前国内社区智慧化系统建设中物联网泛在可信方面的发展现状和存在的问题,介绍了思普瑞泛在可信物联智能系统的可信技术策略,并通过智慧门禁、智慧建筑、智慧园区等三个不同层面的应用场景项目建设案例,列举了可信物联网技术在智慧社区层面的示范应用实践。

智能化视角下城市公园无障碍设计研究——以武汉市中山公园为例

为改善老年人的无障碍环境建设、分析其无障碍设计需求,从智能化的角度出发,研究新时期城市公园无障碍设计的发展需求与智能化融合实践应用,提出改善城市公园无障碍设计的智能化措施,进而构建城市公园无障碍设计智能化体系。文章以武汉市中山公园为例,结合行为注记法、实地调查和问卷调研法,发现其存在诸多无障碍环境建设问题,从智能化角度出发,为其提供改善无障碍环境的思路与策略。

智慧药园公共设施设计研究

通过对广西药用植物园现状调研分析,发现广西药园缺乏以医药文化为背景的整体性、交互式、信息化的环境设施。研究以壮瑶药文化为主要元素,设计包括公园园路、地图、路标路牌、路灯、垃圾桶、卫生间、休息座椅等公共设施的整体化交互式信息化的解决方案。

我国农业科技园区数智化转型发展问题及对策

农业科技园区数智化转型发展是加速实现农业现代化的重要途径,我国农业科技园区建设还处于发展的初级阶段,随着数字化技术和农业技术的不断突破和融合,农业科技园区从传统型单一农业科技示范向集成创新的数智化方向转型发展。当前我国农业科技园区面临着农业信息化基础薄弱、数智化农业装备落后、高素质农业生产管理人才缺乏、数智化服务管理机制不完善等突出问题。因此,有必要优化数字化要素配置,改良智慧设施装备、创新数智服务方式。界定了我国农业科技园区数智化转型发展的内涵,分析了其发展现状及发展过程中存在的主要问题,并探讨了转型发展的对策建议,旨在为我国农业科技园区的转型发展提供理论指导,为破解农业转型升级与产业融合提供建议对策。

智能室内停车场定位导航系统设计

如今,各大商场的地下停车场日趋普遍化和复杂化。随着汽车持有量的急剧增长,车主在庞大的地下停车场中泊车寻车成为了难题。为此,提出了一种实现智能导航和停车管理的解决方案。依据室内定位及导航技术的应用需求,利用光敏模块、环形线圈检测及红外循迹技术,对停车场地形进行红外扫描,通过STM32单片机将数据传输到接收端。用户只需按照主控制器返回给终端的信息,即可快速实现点对点的定位服务。这一方案旨在提高人们出行的便捷性,并为加强城市停车规范管理提供可行性方案。

环境复杂度量化评价下的车位选择方法

为提高自动泊车成功率,建立车位环境复杂度量化评价模型.以车位类型、车位线属性等7个指标建立车位环境复杂度评价指标体系,并提出相应的量化表征方法.针对主客观组合赋权法无法正确计算单个样本临界指标权重的问题,在层次分析法基础上,提出基于平方和归一化的权重二次分配方法.运用模糊综合评价求解车位环境复杂度,通过设计仿真测试来验证所提模型.结果表明:与层次分析法、熵权法相比,所提赋权方法能够正确对临界决定性指标赋予较大权重,避免无效权重赋予;所提模型能够正确反映车位环境复杂度变化,对泊车成功率有较大提升,为泊车位的自动选择提供一种可行的新路径.