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以下规定的是某些物质业务，运营风险和不确定性。These material risks and uncertainties are not the only ones faced by the Group, and we may face additional risks, including those in relation to competition in our business, cost savings measures implemented by us, development of new services and products and rapid changes in the technology services, delay or failure in payment for our services by customers, risks associated with operating in several different jurisdictions, risks related to the services we provide to government and other public entities and risks relating to litigation, tax,监管制度和法规调查，我们的客户的质量审核以及其他索赔。以下风险或其他风险的发生可能会对集团的业务，财务状况和经营业绩产生重大不利影响。
COVID-19对发展中国家的影响以及RECO非常政策，气候变化和国际碳市场之间的联系
International carbon markets, especially baseline and credit systems, are an important component of international climate policy, and enshrined in Article 6 of the Paris Agreement.We analyse the effects of the COVID-19 pandemic and its corresponding containment, emergency response and recovery policies on key economic sectors in developing countries.Building on these insights, we assess the impacts of COVID-19 and corresponding policies on crediting policies, considering baseline setting and stringency of nationally determined contributions (NDCs) of developing countries.Developing countries are of special interest for this research because, on the one side, the Paris Agreement architecture stresses the strengthened role of developing countries, which have to submit and achieve NDCs.On the other side, they are faced with sustainable development concerns and hence, might prioritise certain sustainable development goals (SDGs) (e.g.没有贫困，零饥饿），以在19009年大流行的影响背景下进行气候作用。Depending on the recovery policies undertaken, sectoral priorities for sale of credits through Article 6 are likely to shift, and credit buyers, such as the Swiss KLiK Foundation, need to adjust their approaches accordingly.
贡献报告-Indico Global
This paper presents a comprehensive performance evaluation of various AI architectures for a classification of holes drilled in melamine faced chipboard, including custom Convolutional Neu- ral Network (CNN-designed), five-fold CNN-designed, VGG19, single and five-fold VGG16, an en- semble of CNN-designed, VGG19, and 5xVGG16, and Vision Transformers （VIT）。每个模型的性能都根据其分类精度进行了测量和比较，视觉变压器模型，尤其是对8000个时期训练的B_32模型，以71.14％的精度证明了出色的性能。尽管取得了成就，但该研究强调了平衡模型性能与其他考虑因素（例如计算资源，模型复杂性和培训时间）的必要性。结果强调了仔细的模型选择和微调的重要性，不仅是由性能指标引导的，而且还取决于任务和上下文的特定要求和约束。这项研究为进一步探索其他基于变压器的模型提供了坚实的基础，并鼓励对模型进行微调的更深入研究，以利用这些AI体系结构对图像分类任务的全部潜力。
ECE Senior Design
Abstract The need for accessible, cost-effective, and immediate communication tools for the deaf and hard-of-hearing community is a critical issue. Current available technologies are costly, complex, and unable to be seamlessly integrated into daily life. Our solution is to introduce a revolutionary wearable device: glasses that provide real-time speech-to-text transcription. By integrating advanced technology into a discrete, everyday accessory, we will be reducing communication barriers faced by individuals who are deaf or hard of hearing. The final deliverable is a proof of concept equipped with an OLED display that will display transcribed text into the user's field of vision, an ESP32-C3 for wireless communication, and two microphones for audio capture. Additionally, we will develop an iOS-compatible mobile application that enables the user to reference past conversations and customize the displayed text based on their preferences. Our technical approach leverages continuously improvable open-source speech recognition software, a practical optical design, and an efficient microcontroller. Our end product delivers a new way for deaf and hard-of-hearing individuals to communicate, cultivating a more inclusive world where every voice and word can be heard and understood.
COVID-19期间能量转化的挑战和机遇
摘要：由于建筑物的高能源需求，该建筑物在2020年占全球份额的36％，因此它们是能源耐能力研究和法规的核心目标之一。因此，再加上分散电网的复杂性日益复杂和可再生能源渗透，智能建筑物的创建变得越来越紧迫。Data-driven building energy management systems (BEMS) based on deep reinforcement learning (DRL) have attracted significant research interest, particularly in recent years, primarily owing to their ability to overcome many of the challenges faced by conventional control methods related to real-time building modelling, multi-objective optimization, and the generalization of BEMS for efficient wide deployment.进行了基于PRISMA的470篇大型数据库的系统评估，以回顾基于DRL的BEM的最新进展，用于不同的建筑类型，其研究方向和知识差距。确定了五种建筑物类型：住宅，教育，数据中心和其他商业建筑。他们的比较分析是根据由BEM，可再生能源整合，DR和独特的系统目标控制的设备和系统的类型进行的，例如成本和舒适性。此外，值得考虑的是，最近大约只有11％的研究考虑了实际系统实施。
iiw-bek-programme-brief revised-2023.pdf
社区领导人 - 蓝色经济部门中性别平等的比赛要求社区利益相关者了解妇女和年轻妇女面临的性别障碍的知识，并在家庭和社区层面发起纠正措施。该计划针对从海滩管理部门（BMU），宗教和文化领袖和性别冠军吸引的社区利益相关者，以推动对话和培训该行业中妇女和年轻妇女所面临的歧视性文化偏见和社会规范。
使用COOT优化和MANET的混合LSTM-KNN分类器设计入侵检测和预防模型
INTRODUCTION: MANET is an emerging technology that has gained traction in a variety of applications due to its ability to analyze large amounts of data in a short period of time.因此，这些系统正面临各种安全漏洞和恶意软件攻击。Therefore, it is essential to design an effective, proactive and accurate Intrusion Detection System (IDS) to mitigate these attacks present in the network.Most previous IDS faced challenges such as low detection accuracy, decreased efficiency in sensing novel forms of attacks, and a high false alarm rate.OBJECTIVES: To mitigate these concerns, the proposed model designed an efficient intrusion detection and prevention model using COOT optimization and a hybrid LSTM-KNN classifier for MANET to improve network security.METHODS: The proposed intrusion detection and prevention approach consist of four phases such as classifying normal node from attack node, predicting different types of attacks, finding the frequency of attack, and intrusion prevention mechanism.初始阶段是通过COOT优化完成的，以找到从正常节点识别攻击节点的最佳信任值。在第二阶段，引入了混合LSTM-KNN模型，以检测网络中各种攻击。第三阶段执行以对攻击的发生进行分类。结果：最后阶段旨在限制系统中存在的攻击节点的数量。The proposed method's effectiveness is validated by some metrics, which achieved 96 per cent accuracy, 98 per cent specificity, and 35 seconds of execution time.结论：该实验分析表明，提出的安全方法有效地减轻了MANET的恶意攻击。
