A Building Information Modeling-Life Cycle Cost Analysis Integrated Model to Enhance Decisions Related to the Selection of Construction Methods at the Conceptual Design Stage of Buildings

Life Cycle Cost Analysis (LCCA) provides a systematic approach to assess the total cost associated with owning, operating, and maintaining assets throughout their entire life. BIM empowers architects and designers to perform real-time evaluations to explore various design options. However, when integrated with LCCA, BIM provides a comprehensive economic perspective that helps stakeholders understand the long-term financial implications of design decisions. This study presents a methodology for developing a model that seamlessly integrates BIM and LCCA during the conceptual design stage of buildings. This integration allows for a comprehensive evaluation and analysis of the design process, ensuring that the development aligns with the principles of low carbon emissions by employing modular construction, 3D concrete printing methods, and different building design alternatives. The model considers the initial construction costs in addition to all the long-term operational, maintenance, and salvage values. It combines various tools and data through different modules, including energy analysis, Life Cycle Assessment (LCA), and Life Cycle Cost Analysis (LCCA) to execute a comprehensive assessment of the financial implications of a specific design option throughout the lifecycle of building projects. The development of the said model and its implementation involves the creation of a new plug-in for the BIM tool (i.e., Autodesk Revit) to enhance its functionalities and capabilities in forecasting the life-cycle costs of buildings in addition to generating associated cash flows, creating scenarios, and sensitivity analyses in an automatic manner. This model empowers designers to evaluate and justify their initial investments while designing and selecting potential construction methods for buildings, and enabling stakeholders to make informed decisions by assessing different design alternatives based on long-term financial considerations during the early stages of design.

An Information Analysis Decision System

In recent years, we are increasingly coping with macro, complex and large-scale system in whichinformations twist together. It is a worthwhile research to develop general computer-aided meth-od for decision-making on the basis of processing, analysing and deducing from the informationobtained.

Group decision-making method based on entropy and experts cluster analysis

According to the aggregation method of experts＇ evaluation information in group decision-making,the existing methods of determining experts＇ weights based on cluster analysis take into account the expert＇s preferences and the consistency of expert＇s collating vectors,but they lack of the measure of information similarity.So it may occur that although the collating vector is similar to the group consensus,information uncertainty is great of a certain expert.However,it is clustered to a larger group and given a high weight.For this,a new aggregation method based on entropy and cluster analysis in group decision-making process is provided,in which the collating vectors are classified with information similarity coefficient,and the experts＇ weights are determined according to the result of classification,the entropy of collating vectors and the judgment matrix consistency.Finally,a numerical example shows that the method is feasible and effective.

Modeling Landfill Suitability Based on GIS and Multicriteria Decision Analysis: Case Study in Al-Mahaweelqadaa

Waste management system is not regulated in Iraq. At present, there are various techniques used for solid waste management such as landfill, thermal treatment, biological treatment, recycling etc. Landfill is the most common mode for the disposal of solid waste. However, landfill site selection is a quite complex process and it depends on several criteria and regulations. In this study landfill site selection is performed for Al-Mahaweelqadaa using Multicriteria Decision Analysis (MCDA) and Geographic Information System (GIS). It should be mentioned however, that the existing landfill in this area, is temporary and does not fulfill the environmental conditions. To select suitable landfill site, several criteria were considered such as Urban centers, Land use, Airports, Pipes, Power lines, Railways, Roads, slope, streams, Surface water, Industrial areas, Oil pipes, Liquid gas pipes, Soil types which are prepared. (MCDA) was used to evaluate the relative importance of each criterion. Each map layers were formed with the aid of GIS and final suitability map was created by overlay analyses of each criterion map. According to obtained results, high and low suitable areas were determined in the study area. Field and office checks were performed out to determine the accuracy and suitability of the candidate sites.

Al-Mseiab Qadaa Landfill Site Selection Using GIS and Multicriteria Decision Analysis

Solid waste management is becoming a more serious problem with time especially in developing countries like Iraq. It is not regulated sufficiently in Iraq. At present, there are various techniques used for solid waste management such as landfill, thermal treatment, biological treatment, recycling etc. The landfill is the most common mode for the disposal of solid waste. There are no regulations for landfill site selection which is quite complex process. In this study, landfill site selection was performed by using Multicriteria Decision Analysis (MCDA) and Geographic Information System (GIS) for the Al-Mseiabqadaa. Even in the case of existing landfills in this qadaa, it’s temporary or non-conforming to the environmental condition. In order to determine landfill site that is good for the inhabitants and the environment several criteria (e.g. as Urban centers, Land use, Airports, Pipes, Power lines, Railways, Roads, Slope, Streams, Surface water, Industrial areas, Oil pipes, Liquid gas pipes, Soil types) were used to select the proper site. The MCDA was used to measure the relative importance weighting for each criterion used. Each map layer was formed with the aid of GIS and final suitability map was created by overlay analyses of each criterion map. According to obtained results, high and low suitable areas were determined in the study area. Field checks were also performed to determine the accuracy and suitability of candidate site.

Groundwater Exploration Using Multi Criteria Decision Analysis and Analytic Hierarchy Process in Federal Capital Territory, Abuja, Central Nigeria

There exists a growing demand for potable water resources to fill the abysmally insufficient water needs for domestic and industrial especially in the Basement Complex terrains of Nigeria. This situation is attributable to its complex hydrogeologic character. The present challenge has worsened due to the non-incorporation of integrated methods in groundwater exploration campaigns. To effectively combat the challenge of unacceptable failure rates in drilled water well development, there is a need for innovative scientific principles and quantitative assessment of groundwater resources to enhance sustainable and proper utilisation of these resources. Hence, it is the objective of this research to exploit the potential application of remote sensing, Geographic Information System (GIS), and Multi-Criteria Decision Analysis (MCDA) techniques and freely open datasets in mapping groundwater potential zones. Seven thematic maps have been produced based on factors that are deemed to influence and deemed to have significant control on the occurrence and movement of groundwater. These factors are geology, lineament density, slope, drainage density, rainfall, land-use/land cover, and soil class. Analytic Hierarchy Process (AHP) was used to assign normalised weights to the thematic maps based on the various relative contributions to groundwater occurrence and movement. These thematic maps were then processed in a GIS environment using the Weighted Overlay tool which implements the MCDA. The resulting Groundwater Potential Zones (GPZ) of the area gave rise to Five classes viz: Very good, Good, Moderate, Poor and Very Poor representing 19%, 8%, 14%, 47% and 13% respectively. It is recommended that the GPZ map should be used as a reconnaissance tool for selecting prospective sites for detailed groundwater resource exploitation.

Survey of Data Value Evaluation Methods Based on Open Source Scientific and Technological Information

It is important to effectively identify the data value of open source scientific and technological information and to help intelligence analysts select high-value data from a large number of open-source scientific and technological information. The data value evaluation methods of scientific and technological information is proposed in the open source environment. According to the characteristics of the methods, the data value evaluation methods were divided into the following three aspects: research on data value evaluation methods based on information metrology, research on data value evaluation methods based on economic perspective and research on data value assessment methods based on text analysis. For each method, it indicated the main ideas, application scenarios, advantages and disadvantages.

Study and Analysis of Chennai Flood 2015 Using GIS and Multicriteria Technique

Terrain characteristics of the land and meteorological properties of the region are the main natural factors for flood. The recent flood in Chennai was unexpected and not triggered by the above factors. Sometimes floods occur when the watershed size is considerably small which leads to the over flow of water inland may due to the encroachment and the urban development of the city. Temporarily used backwater effects in sewers and local drainage channels and creation of unsanitary conditions may cause flooding. Chennai flood was basically claimed to occur due to improper drainage system and underlying strata which was found to be landfill over the ponds and lakes. The Coouam River which flows through the centre of main city was found silting due to the improper drainage facilities and encroachment by the local peoples who causes flood. For the analysis of potentially affected areas Geographical Information System (GIS) integrated with Multicriteria Decision Analysis (MCDA) were employed. Ranking and displaying the potentially risky areas, the spatial Multicriteria analysis was used. It has been revealed that all most all the area’s having populations are likely to be exposed to flood hazard. At the end of study, a map of flood risk areas was generated and studied with a view to assisting decision makers on the consequences posed by the disaster.

Fuzzy VIKOR Approach to Evaluate the Information Security Policies and Analyze the Content of Press Agencies in Gulf Countries

A news agency is an organization that gathers news reports and sells them to subscribing news organization, such as newspapers, magazines, radio and television broadcasters. A news agency may also be referred to as a wire service, newswire, or news service. The main purpose of this paper is to evaluate the security policies and analyze the content of five press agencies in gulf countries which are (Kuwait News Agency (KUNA), Emirates News Agency (WAM), Saudi Press Agency (SPA), Bahrain News Agency (BNA), and Oman News Agency (OMA)) by using a fuzzy VIKOR approach where linguistic variables are applied to solve the uncertainties and subjectivities in expert decision making. Fuzzy VIKOR approach is one of the best Multi-Criteria Decision Making (MCDM) techniques working in fuzzy environment. This study benefits security and content analysis experts know which press agency has the mandate and the competence to educate the public on news agencies. Besides, this paper contributes to Gulf agencies in helping them in their resolve to ensure the quality of content information and information security policies over the internet.

深地工程多维信息感知与智能建造的发展与展望

随着大数据、云计算、人工智能等数字技术的加速演进,各领域智能化、信息化、数字化已成为未来的大势所趋。深地工程作为国家重大战略科技问题,必然面临智能化升级。然而,深部岩体“三高一扰动”的复杂特征给深地工程智能化转型带来严峻的挑战。为实现深地工程与数字技术的高效融合,研究基于“感知-传送-解译-分析-决策”的智能化实践路径,系统回顾了地下工程中智能感知、实时传输、信息解译、数据分析、智能决策等领域的代表性研究进展,并针对性提出了“多感知、快响应、大数据、优方法、精模型、强平台、易推广”的深地工程智能建造发展方向。研究表明:①前沿的深地工程感知技术包括:光纤传感器、MEMS传感器、计算机视觉、自动化机器人等,待数据采集完毕后,通过兼具配置简单、容错能力强、可移动性好等优点的无线通信协议完成数据的实时响应,以实现深地工程监测数据的精准感知与实时传输;②深地工程原位监测技术获取的数据类型主要包括图像、波、点云等,对原始数据解译及分析的模型众多,采用新一代的人工智能技术,如:人工神经网络和深度学习技术,可显著提高解译与分析的效率;③智能决策系统具备高效的学习能力,能够适应复杂环境下的不确定性,通过循环自主学习,以进行决策问题的智能解答。当前,我国深地工程智能建造的政策与产业体系已基本建立,大量智能建造系统已应用于实践。基于此,从智能感知与信息解译、围岩评价及安全评估、围岩控制与动态修复、平台开发及应用推广等4个方面展望了数智化深地工程的发展方向,进而构建了基于多源信息的深地工程围岩稳定性综合评价与分析系统构想。

中国农业生态学与生态农业研究早期阶段的“燎原星火”——以1975年至2000年公开的部分资料为依据

20世纪的最后25年是中国内地的农业生态与生态农业理念推广、科研探索及人才队伍成长的早期阶段。本文基于中国知网系统、国家自然科学基金委员会大数据知识管理服务门户、中国生态学学会官网、中国科学院野外台站网,《中国生态农业学报》《农业环境科学学报》《农业资源与环境学报》《生态与农村环境学报》《农业现代化研究》《生态学杂志》等多种农业生态学与生态农业有关学术期刊网站及孔夫子旧书网,对1975—2000年期间,中国内地从事农业生态学与生态农业研究比较有影响力的学术平台(单位)和学者、公开出版的部分著作名录、国家自然科学基金生态学领域(C03)与农业生态相关的立项项目、中国知网系统内中文学术期刊发表的相关论文要素分析(发表年份、作者、所在单位、刊载期刊等)、被引次数及相关期刊创刊号特邀专论为依据的重要学术论文和学术论著题录进行了粗略的统计和分析,分析描述了早期阶段农业生态学及生态农业研究的热点及其变化过程。此外,本文还陈列和介绍了中国生态学学会农业生态专业委员会自成立至2000年期间组织和主办的十届全国农业生态学学术研讨会情况以及专业委员会的工作发展。本文为关心和支持中国农业生态学与生态农业建设的各界人士了解20世纪最后25年里中国农业生态学领域的大致概貌提供了一个粗略小结,也是对既往时代的认同、肯定和对现世同人的鼓励鞭策。

科技领域的中国合规管理推动者研究——基于2018—2023年公开会议报告人分析

设定会议内容包含科技内容的就是科技领域合规管理会议,会议报告人即为合规管理推动者。根据此设定,收集确认2018—2023年55个中国本土举行的属于科技领域合规管理会议,并对确认的55个会议的高频次报告人、高频次报告人所在单位及属性、高频次报告人所在企业与行业、会议报告人报告内容主题等进行计量分析。研究聚焦科技领域,求解合规管理领域的领军人物、主要机构、主要研究成果与工作内容等问题,较为全面地展示目前中国国内聚焦科技领域的合规管理推动者、研究与服务工作现状和重点,为合规管理领域情报研究与服务提供参考。

更名事件扩散视角下的信息资源管理学科认同演化探究

名称是表征事物本质特点的重要外在标识,学科内部的更名事件往往能够体现共同体认同的演化特征与趋势。文章基于学科专业目录与机构发展历史文本信息,综合运用内容分析、计量分析与演化分析方法,对信息资源管理学科共同体内部的学科隶属与名称变动信息进行梳理,实现学科发展历程的定量跟踪与全景呈现。发现信息资源管理学科认同的塑造过程分为不同阶段,并且这一具有间断均衡特征的演化模式不仅有利于推动学科内涵式发展,也为实现整体学科认同与局部逻辑思维的整合创造了条件。

管理层讨论与分析能预示企业违约吗?——基于中国股市的实证分析

采用文本挖掘技术,对上市公司年报中的管理层讨论与分析(MD&A)内容进行文本分析,从文本相似度、文本可读性、文本语调以及管理层预期的角度构建了MD&A评价体系。通过构建代价敏感GBDT(csGBDT)模型,考察多维管理层讨论与分析指标对企业违约预测的影响,并进一步分析了对企业违约状态有重要影响的MD&A指标及其对违约状态作用的边际效应。研究表明:MD&A指标可以作为替代性数据源准确预测上市公司违约状态;MD&A指标相比传统违约预测变量的预测效果较差;MD&A指标在传统违约判别指标基础上提供了额外的信息含量;csGBDT模型显著提高了对企业(尤其是对违约企业)的判别能力,在违约预测的大数据方法中具有明显优势。在众多管理层讨论与分析指标中,对企业违约有重要影响的MD&A指标依次为:与前一年相比文本相似度、词汇总量、情感语调2、词汇总量/句子数量、情感语调1和管理层是否发出业绩预测。本文将企业违约预测的研究边界从结构化数据拓展到非结构化文本数据,有助于抑制信息不对称导致的企业违约风险。

信息链视域下电子病历数据驱动临床决策的需求模型构建

[目的/意义]在信息链视域下,提炼电子病历数据驱动临床决策的用户需求,构建需求模型,帮助弥合临床决策支持服务与现实临床工作需要的差距,为电子病历数据提供价值释放靶点,拓展信息链的应用域,助益临床决策支持系统和平台建设,进而为面向临床的情报服务提供指导。[方法/过程]以信息链为理论基础,利用模板分析的方法,通过对访谈资料的分析,提炼了7个一级需求主题、24个二级主题、54个三级主题、43个四级主题以及2个五级主题,构建了电子病历数据驱动临床决策的需求层级模型。[结果/结论]沿着信息链,可以将电子病历数据驱动临床决策的用户需求归纳为病历的智能化记录、临床关键信息的组织与提取识别、电子病历数据驱动的疾病风险预测、疾病诊疗经验与知识的提炼补充、疾病诊断辅助、病情异常原因分析、治疗方案的辅助制定与推荐。医生对电子病历数据驱动临床决策的应用采纳呈现出不同程度的积极性,表现出了对数据确权不清、信息技术成熟度不高等风险的担忧。

复杂信息环境下科技情报技术基础的体系建设研究

当前信息环境中的数据规模不断膨胀,用户需求趋于多元化、个性化。因此,大数据、人工智能、大模型等新技术陆续介入科技情报工作中,为科技情报事业发展注入新活力,同时,新的科技情报技术基础的体系也亟待建设。本文从科技情报的四类工作任务视角,阐述科技情报工作的关键技术成分,分析复杂信息环境下新技术运用于科技情报分析工作中的难点和障碍。本文运用SWOT分析法,全面研究了新技术在科技情报分析工作中运用的优势、劣势、机会、威胁四个因素及相应的四个策略维度,并综合局部分析结果提出当前科技情报技术基础的体系建设新内容,以期促进科技情报技术全域生态的良好发展。

基于属性值变化的动态三支冲突分析

冲突分析有利于信息系统的问题处理。为了促进相关动态学习,将冲突分析模型推广到动态形式信息系统中,并结合三支决策思想研究基于属性值变化的动态三支冲突分析。首先,考虑单行属性值变化,研究距离矩阵的变化,得到关于冲突集、中立集、联合集的三支分析模型的变化结果。其次,类似考虑多行属性值变化,得到对应的三支分析模型的变化规律,并由此设计相关的动态更新算法。进而,针对列属性值变化,基于形式信息系统来转换成行属性值变化,从而调用行值动态更新方法。最后,实例分析说明了所得动态三支冲突分析的性质与算法的有效性。

国际“高端交流平台”成功路径分析

[目的/意义]鉴于我国科技信息交流平台相比国际主流平台起步较晚,且对美西方国家的科技资源依赖性强,分析国际“高端交流平台”的成功经验,探索其对于构建我国“高端交流平台”的参考价值和借鉴意义,有利于促进我国在科技信息交流和学术交流方面的现代化,增强在全球科技创新领域的影响力。[研究设计/方法]采用案例分析法,深入探讨国际上具有代表性的科研信息交流平台在技术创新、数据管理、用户服务及市场运作等方面的特点和优势,以及如何将这些因素融入我国的科技信息交流平台建设中。[结论/发现]国际“高端交流平台”专注于特定领域的深度集成、先进的技术应用、高效的数据管理和灵活的市场化运作,基于此提出适合我国国情的高端交流平台构建策略,包括强化科技信息交流平台的顶层设计、制定开放科学的中国方案、明晰不同主体平台的定位与分工、构建数据要素基础制度以及推进产业数据的深度加工。[创新/价值]将国际“高端交流平台”成功案例与我国实际相结合,提出我国特色化的高端交流平台构建策略,为我国科技信息保障的自主化提供切实可行的路径。