Efficiency and effectiveness of systems for the treatment of domestic wastewater based on subsurface flow constructed wetlands in Jarabacoa, Dominican Republic

Constructed wetlands(CwW)are well known nature-based systems for water treatment.This study evaluated the efficiency and effectiveness of seven domestic wastewater treatment systems based on horizontal flow CWs in Jarabacoa,the Dominican Republic.The results showed that the CWs were efficient in reducing the degree of contamination of wastewater to levels below the Dominican wastewater discharge standards for parameters such as the 5-day biochemical oxygen demand(BOD5)and chemical oxygen demand,but not for the removal of phosphorus and fecal coliforms.In addition,a horizontal flow subsurface wetland in the peri-urban area El Dorado was evaluated in terms of the performance of wastewater treatment in tropical climatic conditions.The concentrations of heavy metals,such as zinc,copper,chromium,and iron,were found to decrease in the effluent of the wetland,and the concentrations for nickel and manganese tended to increase.The levels of heavy metals in the effluent were lower than the limit values of the Dominican wastewater discharge standards.The construction cost of these facilities was around 200 USD per population equivalent,similar to the cost in other countries in the same region.This study suggested some solutions to the improved performance of CWs:selection of a microbial flora that guarantees the reduction of nitrates and nitrites to molecular nitrogen,use of endemic plants that bioaccumulate heavy metals,combination of constructed wetlands with filtration on activated carbon,and inclusion of water purification processes that allow to evaluate the reuse of treated water.

An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

With the rapid development of electric power systems,load estimation plays an important role in system operation and planning.Usually,load estimation techniques contain traditional,time series,regression analysis-based,and machine learning-based estimation.Since the machine learning-based method can lead to better performance,in this paper,a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is proposed.First,an image fingerprint construction is proposed for training data.After the data preprocessing,the training data matrix is constructed by the cyclic shift and cubic spline interpolation.Then,the linear mapping and the gray-color transformation method are proposed to form the color image fingerprint.Second,a convolutional neural network(CNN)combined with an attentionmechanism is proposed for training performance improvement.At last,an experiment is carried out to evaluate the estimation performance.Compared with the support vector machine method,CNN method and long short-term memory method,the proposed algorithm has the best load estimation performance.

Subsurface multi-physical characterization of mountain excavation and city construction in loess plateau with a fiber-optic sensing system

Mountain excavation and city construction(MECC)projects being launched in the Loess Plateau in China involve the creation of large-scale artificial land.Understanding the subsurface evolution characteristics of the artificial land is essential,yet challenging.Here,we use an improved fiber-optic monitoring system for its subsurface multi-physical characterization.The system enables us to gather spatiotemporal distribution of various parameters,including strata deformation,temperature,and moisture.Yan’an New District was selected as a case study to conduct refined in-situ monitoring through a 77 m-deep borehole and a 30 m-long trench.Findings reveal that the ground settlement involves both the deformation of the filling loess and the underlying intact loess.Notably,the filling loess exhibits a stronger creep capability compared to underlying intact loess.The deformation along the profile is unevenly distributed,with a positive correlation with soil moisture.Water accumulation has been observed at the interface between the filling loess and the underlying intact loess,leading to a significant deformation.Moreover,the temperature and moisture in the filling loess have reached a new equilibrium state,with their depths influenced by atmospheric conditions measuring at 31 m and 26 m,respectively.The refined investigation allows us to identify critical layers that matter the sustainable development of newly created urban areas,and provide improved insights into the evolution mechanisms of land creation.

Analysis of the Design and Implementation of a GIS System Incorporating Intelligent Recognition Models

The rapid economic growth,urbanization,and industrialization have led to a scarcity of land resources in coastal areas,exacerbating the conflict between humans and the environment.In order to promote economic development,attention has turned to the sea,and various coastal engineering projects have been undertaken,sparking a wave of land reclamation.However,while these efforts bring economic and social benefits,they also have implications for ecological relationships.To respond to and plan for changes in the coastline and land cover in a timely manner,this paper proposes and constructs a GIS system that integrates remote sensing image recognition models.The system combines geographic information system development technology with image recognition technology,streamlining the processing and identification of image data.This approach is particularly advantageous for marine management departments in their long-term monitoring and dynamic management of coastal lines,ensuring a more effective and efficient response.

Optimal Formation Control for Second-Order Multi-Agent Systems With Obstacle Avoidance

Dear Editor,The optimal formation control design problem is studied for a class of second-order multi-agent systems(MASs) with obstacle avoidance.Based on the actor-critic framework, an optimized formation controller is proposed by constructing a novel performance index function. Furthermore, the stability of MAS is proved by constructing the Lyapunov function. The simulation results are provided to depict the effectiveness of the proposed strategies.

An Investigation of Exoskeleton Robotic Systems in Assisting Construction Tasks*

Whilst industrial robots have been widely used in many industrial sectors, they are predominantly used in a structured factory environment. In recent years, off-site robotics have been investigated extensively and there are some promising candidates emerging. One such category of robots is exoskeleton robots and this paper provides an in-depth assessment of their suitability in assisting human operators in undertaking manual operations typically found in the construction industry. This work aims to objectively assess the advantages and disadvantages of these two suits and provide recommendations for further improvements of similar system designs. The paper focuses on the passive exoskeleton robotic suits which are commercially available. Three types of activities are designed and a mechatronic methodology has been designed and implemented to capture visual data in order to assess these systems in comparison with normal human operations. The study suggests that these passive suits do reduce the effort required by human operators to undertake the same construction tasks as evidenced by the results from one focused study, though a number of improvements could be made to improve their performance for wider adoption.

Research and Application of Meteorological Response Measures for Civil Engineering and Data Acquisition System

Meteorological conditions have a very important impact on the development of construction projects.In order to assist project site managers to quickly and accurately deal with the engineering risks brought by meteorological conditions,meteorological risk assessment indicators for civil construction are established based on the actual impact of different meteorological conditions on each sub-project of civil engineering.A meteorological intelligent management system is created,and it will select reasonable countermeasures from the integrated existing database and push them to on-site construction managers based on meteorological risk assessment indicators.Through the pre-set construction log module,the managers can give feedback on the application effect of the pushed measures,and achieve the effect of construction data collection,correction and expansion of the existing database.

Marketing Model Analysis of Fashion Communication Based on the Visual Analysis of Neutrosophic Systems

In order to Improvement the Neutrosophic sets as effective tools to deal with uncertain and inconsistent information.The research takes method-ology of combined single-valued neutrosophic rough set and multi-scale deci-sion systems.This paper proposes the optimal scale selection and reduction algorithms based on multi-scale single-valued neutrosophic dominance rough set model.User requirements were analyzed using KJ method to construct a hierarchical model.According to the statistics of representative studies from China and the West,we found that,on the one hand,classical theory has been expanded and supplemented in fashion culture communication and market-ing.The topics are more micro-diverse,and the research methods are inspired by other disciplines;on the other hand,Chinese practice and Chinese cultural perspective need to fill the gap.The fashion content in the new fashion,however,needs to broaden its boundaries,and in addition to integrating with cultural theory and sociology,it needs to be integrated with fashion products,including product design,visual communication,image design and so on.Aesthetic communication needs to be taken into account as an important connotation,with visual communication and the communication of images as important research elements.On the whole,this research abroad inspires the development of domestic fashion culture communication and marketing research.

Study on the Construction of Circular Economy Development System of Agriculture and Animal Husbandry in Tibet

As a basic industry in Tibet Autonomous Region,the development of agriculture and animal husbandry circular economy is of great practical significance,which is actively reflected in national high-quality development and new agriculture and animal husbandry circular model.The development direction and future trend directly determine the promotion and enhancement of regional agriculture and animal husbandry economy,which is highly valued and welcomed by academic circles.This paper mainly expounds the development connotation of agriculture and animal husbandry circular economy system from the perspective of Tibet's agriculture and animal husbandry economic development.It focuses on sorting out the construction and future direction of circular economy development system,effectively puts forward ideas and comprehensive understanding of the circular economy development system of agriculture and animal husbandry in Tibet,effectively promotes the promotion and basic change of circular economy of agriculture and animal husbandry,and effectively changes the traditional development model and new innovation model of agriculture and animal husbandry.

Multi-Zone-Wise Blockchain Based Intrusion Detection and Prevention System for IoT Environment

Blockchain merges technology with the Internet of Things(IoT)for addressing security and privacy-related issues.However,conventional blockchain suffers from scalability issues due to its linear structure,which increases the storage overhead,and Intrusion detection performed was limited with attack severity,leading to performance degradation.To overcome these issues,we proposed MZWB(Multi-Zone-Wise Blockchain)model.Initially,all the authenticated IoT nodes in the network ensure their legitimacy by using the Enhanced Blowfish Algorithm(EBA),considering several metrics.Then,the legitimately considered nodes for network construction for managing the network using Bayesian-Direct Acyclic Graph(B-DAG),which considers several metrics.The intrusion detection is performed based on two tiers.In the first tier,a Deep Convolution Neural Network(DCNN)analyzes the data packets by extracting packet flow features to classify the packets as normal,malicious,and suspicious.In the second tier,the suspicious packets are classified as normal or malicious using the Generative Adversarial Network(GAN).Finally,intrusion scenario performed reconstruction to reduce the severity of attacks in which Improved Monkey Optimization(IMO)is used for attack path discovery by considering several metrics,and the Graph cut utilized algorithm for attack scenario reconstruction(ASR).UNSW-NB15 and BoT-IoT utilized datasets for the MZWB method simulated using a Network simulator(NS-3.26).Compared with previous performance metrics such as energy consumption,storage overhead accuracy,response time,attack detection rate,precision,recall,and F-measure.The simulation result shows that the proposed MZWB method achieves high performance than existing works.

Construction of Legal System of China's Farmland Protection under the Coexistence of Multiple Objectives:Historical Logic,Practical Problems and Optimization Paths

[Objectives]To explore the evolution of the legal system of farmland protection and explore the rules and characteristics of policy development based on the theory and logic of institutional change since China's reform and opening up,reveal the problems and deep-seated reasons of its legislation,clarify the direction of farmland protection in the new period,and solve the"non-agricultural""non-grain"and ecological problems of farmland.[Methods]Literature analysis and inductive deduction methods were used.[Results]The evolution of the farmland protection legal system has gone through the process of"national consciousness-policy guidelines-institutional system",the change from"single subject to multiple subjects";change from the use of"one-way administrative means to coordinated use of administrative,economic and technical means".The practical problems of the farmland protection legal system are mainly due to the insufficient systematization of the farmland protection legal system itself,the generalization of quantity protection,the transformation of quality protection,and the absence of ecological protection.[Conclusions]It is recommended to improve the existing farmland protection legal system from the establishment of the Farmland Protection Law,the improvement of the farmland protection public participation mechanism and supervision mechanism,the establishment of the farmland quality construction and improvement system,the differentiated farmland occupation and supplementation balance system,and the ecological restoration system.

Multiple Collaborative Service Model and System Construction Based on Industrial Competitive Intelligence

This paper constructs a multiple collaborative service model of industrial competition intelligence with the main purpose of promoting the development of regional industries. The multiple service subjects include enterprises, governments, colleges and universities, scientific research institutes, industry associations and for-profit institutions. This article starts from the overall development of regional industrial economy, weighs the mutual relationship between the elements of the service model, and promotes multiple service subjects such as enterprises, governments, universities, research institutes, industry associations, and profit-making organizations to realize the collaborative service of resource intelligence, demand intelligence and data intelligence provides linkage intelligence service for the development and innovation of regional industries. This service model can improve the efficiency of industrial competitive intelligence services and the overall competitiveness of regional industries.

Unenumerated Rights Clauses and the System of Restriction on Fundamental Rights——Another Construction Plan for Article 51 of the Constitution of PRC

According to constitutional jurisprudence in China,Article 51 of the Constitution is an unenumerated restrictive clause.Such theoretical construction fails to justify the differentiated restrictions established in the Constitution and makes it difficult to explain the constitutional status of human dignity. Article 51 implies the possibility of other theoretical constructions. It is not an unenumerated restriction clause but an unenumerated rights clause. It aims to provide guarantees for general freedom of action not enumerated in the Constitution rather than restricting fundamental rights. The actual benefit of this kind of theoretical construction lies in that it can establish the basis of the constitutional text for general freedom of action and promote the people’s correct understanding of the model of restriction on fundamental rights established by the Constitution of PRC.

装配式建筑结构顶升逆作法原理与技术发展

顶升逆作法综合了顶升和逆作法两种技术的不同特性,是一种在邻近地面对建筑逐层建造并逐层顶升的新型建造工艺。通过对顶升各阶段的原理分析,结合强时变结构特点,对顶升点选择等关键技术进行研究,分析了竖向顶升位移不同步工况下的结构受力机理,厘清了装配式建筑结构顶升逆作法的受力特点,梳理了现有的相关配套技术,指出了目前装配式建筑结构顶升逆作法待解决的技术难题。针对新型建造工艺的强时变特征,提出了结合数字孪生和人工智能两种技术进行智能调控的发展趋势,构建了面向减碳优化的综合目标函数,并通过算例证明合理的顶升方案对减少建造阶段构件内力的作用。结果表明:依托装配式建筑结构顶升逆作法原理,采用机械化施工取代人工作业、大重量顶升替换高空吊运,减少设备的层间转运和材料的竖向运输,能够在提高施工建造效率的同时,将工艺流程控制在临近地面的有效高度范围内,有望降低环境影响、减少碳排放、提高建筑结构在未来服役末期的资源化可行性,助力建筑业绿色低碳发展。

装配式配筋砌块砌体结构技术与应用

当前在国家大力倡导建筑业采用装配化建造方式的背景下,装配式混凝土结构、装配式钢结构等建筑新技术不断涌现并在工程建设中大量应用,而砌体建筑在这次装配化建造大潮中比较沉寂。砌体结构领域的工作者一直也在积极探索,介绍了砌体结构中一种配筋砌块砌体结构实现装配化建造的技术,该技术先以标准化生产的砌块产品组装成个性化需求的墙构件,再将墙构件经绑扎后在施工现场吊装并在安装中穿入竖向钢筋,最后用混凝土灌孔连接形成整体结构。该技术是基于理论试验研究及工程实践验证后得出的新成果,已有近20万m^(2)规模的工程实践应用,具有成本低、工艺简、安全性好、效率高等特点,为采用装配化方法建造房屋提供了新的选择。

机器学习方法在盾构隧道工程中的应用研究现状与展望

随着盾构隧道工程信息化水平的提升,隧道掘进设备作业过程监测技术日益完善,记录的工程数据蕴含了掘进设备内部信息及其与外部地层的相互作用关系。机器学习因其数据分析能力强,无需先验的理论公式和专家知识,相较于传统的建模统计分析方法具有更大的应用空间。通过机器学习方法对收集的信息与数据进行深度挖掘并分析其内在联系,有助于提升盾构隧道工程建设的效率和安全保障水平。简述机器学习方法的基本原理,总结和分析机器学习方法在盾构工程中的应用研究状况,综述基于机器学习的盾构设备状态分析、盾构设备性能预测、围岩参数反演、地表变形预测和隧道病害诊断等5个方面的进展,并分析当前研究的不足。最后,分析盾构隧道工程向智能化方向发展需重点攻克的难题。

人工智能在土木工程领域的应用研究现状及展望

作为新一代产业变革的核心驱动力,人工智能是全面提高土木工程领域数字化、自动化、信息化和智能化的重要方法。为全面了解人工智能在土木工程中的发展及应用,定性分析了人工智能的基本研究领域,定量分析了人工智能在土木工程设计、制造、养维护阶段的研究现状,利用CiteSpace可视化工具深入挖掘人工智能在土木工程中存在的问题、发展瓶颈和研究趋势,并给出相应的解决办法及研究思路。通过文献综述发现,土木工程领域已展开了大量人工智能研究,但各阶段智能化发展不均衡,实际应用也存在一定局限性,需深入探索神经网络、大数据、深度学习等智能技术在土木工程全生命周期的交叉融合,促进土木工程领域人工智能研究的协同发展。

元宇宙技术发展综述及其在建筑领域的应用展望

新冠疫情的暴发使得人们的活动越来越多地向线上转移,元宇宙概念热潮的出现使得基于虚拟数字世界的生产生活模式越来越多地受到人们关注。目前,元宇宙概念已经在教育、商业、工业等领域有所应用。随着建筑信息化、数字化技术的广泛应用,建筑行业智能化水平不断提高,虚拟数字技术在建筑行业发展中扮演着越来越重要的角色。对元宇宙概念的最新发展和应用进行介绍,重点阐述元宇宙与建筑信息化技术的关系以及元宇宙在建筑领域的潜在应用。分析结果表明,元宇宙的发展依赖于拓展现实、数字孪生、区块链等既有数字化技术的集成,作为一种新技术,元宇宙将为建筑领域的生产方式带来新的改变,也可能催生新的产业模式。

陆地LNG工厂模块化建造涂装设计应用

液化天然气(LNG)作为绿色能源,其市场需求巨大。陆地LNG工厂建设具有大型化、规模化及集成化的特点,模块化建造能够达到缩短工期、降低成本、减少污染等要求。文中从防护涂层系统设计、涂装施工、涂层缺陷修补3个方面,对大型陆地LNG工厂模块化建造过程中的涂层材料及涂层体系设计,有机涂层、金属涂层、防火涂料等设计标准及相关要求,以及涂装结构设计要求等进行针对性解读。结合实际涂装过程中施工人员认证考核、表面处理要求、涂装施工、热喷铝施工要求,及建造过程中涂层保护进行阐述;同时,对建造过程中有机涂层和金属涂层缺陷及修补方法等进行总结,提出了相应工程经验推荐做法,为从事相关工作人员提供参考。

国家级创新创业教育实践基地建设特征探索——基于首批国家级双创基地建设内容的文本分析

国家级创新创业教育实践基地作为高校实施创新创业教育的实践载体,在创新创业教育体系中发挥着重要作用。该文以100所国家级创新创业教育实践基地资料为研究对象,使用内容分析法探究不同类别高校基地的建设内容特点。结果显示综合类、理工类、职业类、特色类高校基地在建设内容特点上存在差异,并结合具体案例总结出依托优势平台、校企合作、结合特色产业三种基地建设模式,以期为高校创新创业教育提供新思路。