One of the main factors that contribute to fire incidents and the excessive heat people feel during a heat wave is the building materials used, and one such material that possesses durable and heat-resistant properties is sandwich panels. A possible structure that can be used to model sandwich panels is honeycomb structures; however, further research has yet to be conducted on its applications as a heat-resistant urban construction material. This study aims to design a three-dimensional model of a honeycomb sandwich panel and simulate its performance under different thermal and structural stressors. A 3D model of the honeycomb sandwich panel was generated using Autodesk Fusion 360. Then, multiple versions of the panel were generated with varying heat-resistant core materials—namely, aluminum, nickel, nickel-copper alloy 400, and copper—along with polystyrene as the core material for the control model. The following properties of every panel were assessed using finite element analysis (FEA): static deformation, stress distribution, strain distribution, total heat flux, and thermal gradient. Results showed that when subjected to varying structural loads (2 kN, 5 kN, 7 kN), the nickel-core panel demonstrated the best results in terms of static deformation and strain distribution due to its relatively lower deformation and elongation values, respectively. Meanwhile, under the same structural loads, the aluminum-core panel performed better than other core materials in terms of stress distribution due to it having the relatively highest difference between its simulated von Mises stress and its yield strength. The honeycomb sandwich panels have also shown to possess heat-resistivity when subjected to a thermal load of 90°C, with polystyrene being the most promising material overall in terms of heat-resistance due to its relatively lower heat flux and thermal gradient. The results from this study would contribute to future research on honeycomb sandwich panels and may be used in real-life applications.

自駕車的相關研發日益受到重視，尤其在複雜的交通運輸中提供更安全、更有效的防護是自駕車的發展重點之一。本次研究主要探究不同距離感測器與不同PID自動控制組合，針對靜物與移動障礙物進行煞車成效分析。研究結果顯示不同的距離感測器的精準度與穩定性不同，在固定障礙物狀態下雷射距離感測器因為精準度和穩定度較高，而超音波較容易受到外界干擾，所以比較不精準。由於超音波距離感測器的偵測範圍廣，所以可以事先偵測到移動障礙物，反而提供自動控制較多的反應時間，在加速度的表現上較為穩定．自動控制表現上P控制的情況下機器人常常卡在最後一點點的距離，不過超音波感測器因為會有點誤差，所以反而會比雷射感測器快停下來；PI控制因為可以消除穩態誤差，所以時間消耗都是最短的；PD控制原本的功用應該是快速修正，由於D控制的增益常數（gain）過大，影響D控制作用，因此PD控制的效果沒有特別突出的部分。

Our project, the Autonomous Ecosystem Surveillance Robot, aims at closing the aquatic gap in biosecurity measures by including several functions, such as water quality monitoring, aquatic species monitoring, and seabed topology surveillance. Several instances have shown the need for such a system, as demonstrated below. The United States Corps of Engineers completed an electrich fish barrier in the Chicago Sanitary and Ship Canal in 2002, in order to prevent the invasive Asian carp from moving into the Great Lakes. The introduction of the Asian carp into the Great Lakes would be an ecological disaster, as the Great Lakes provide an ideal habitat for the carp to proliferate, choking out native fish species that exist there. This would result in a major loss for the fishing industry in the area. One of the Great Lakes, Lake Erie, suffers annual algae blooms threats, which affect up to 12 million people in the Great Lakes region of the United States and Canada. These algae blooms are caused by runoff pollution, which occurs when rainfall washes fertilizer and manure from farmland into Lake Erie, fueling algae that can make water toxic to humans and animals alike. In addition, there are many existing customs regulations around the world that are set in place to ensure biosecurity of national ecosystems, such as in Taiwan, where it is illegal to bring pork from abroad. Despite this, there still exists a very large gap in biosecurity measures; that of the aquatic nature. Through these three functions, we have the ability to protect local aquatic biodiversity via the ability to detect invasive species, therefore allowing authorities to properly deal with them. This allows less harmful measures to be taken against them, thereby limiting collateral damage to endangered native species. Coupled with the ability to map bodies of water, the Autonomous Ecosystem Surveillance Robot is an extremely potent tool to preserve aquatic biodiversity and to ensure biosecurity of local waters.

In this paper, I investigated the motion of a nonlinear coupled oscillator system consisting of two leaf springs secured to a non-magnetic base with magnets attached to the upper ends such they repel and are free to move. My results showed that the system exhibits the beats phenomenon, and interestingly that the frequencies show a dependence on initial conditions. I hence hypothesized this sensitivity is due to two sources of nonlinearities: geometric nonlinearity during large deflections of the leaf springs and the nonlinearity in the magnetic force. To test this hypothesis, a nonlinear mathematical model was developed, accounting for nonlinear beam effects up to third order and fully solving the nonlinear magnetic force using a current cylinder model, accounting for the tilting of the magnets. An approximate linear model was also developed for comparison. The theoretical models were validated experimentally by investigating the dynamic motion of the springs through time, as well as how the modal frequencies in the system depend on the initial displacement, the length of the spring, and the distance between the springs. The more accurate nonlinear model I derived shows good agreement with experimental results while the linear theory does not, highlighting the importance of nonlinearities in this system. An improved understanding of these nonlinear systems could lead to advancements in design and efficiency, and safety in various applications such as energy harvesting.

Energy has had an enormous impact on the development of technology and is a main factor in humans’ advancement towards an evolved society. Nevertheless, nonrenewable energy resources – which are the most effective in everyday application - have led to changes in the climate, environment, human health, and the world in general [1], which has encouraged researchers to switch to the use of renewable energy sources. Solar Cells are one of the most effective resources that rely on renewable energy. They come in a variety of types, operation methods, and efficiency as shown in Figure 1, including Dye-Sensitized Solar Cells (DSSC), which, inspired by photosynthesis in plants, uses photo-sensitive dye to capture sunlight and generate electricity. DSSCs were proved to have generated a great deal of interest and are one of the most promising solar cells among third-generation PV technologies, due to their low cost, simple preparation, good performance, and environmental friendliness compared to conventional photovoltaic devices [3]. However, their efficiency is quite insufficient for everyday use. Previous studies proved that Tandem DSSCs – which are two dye-sensitized cells stacked on top of each other – are able to enhance cell performance. The light absorption range of a tandem cell is increased because the bottom cell behind the top one absorbs and uses the incident light that was not absorbed by it [4]. It operates as shown in Figure 2, where the light photons excite the electrons of the dye molecules. The electrons are then transported to the FTO (conductive glass) by the semiconductor, which is used in the figure as TiO2 nanoparticles. The electrons pass through the circuit to perform the work, then move to the counter electrode (shown as Platinum). They are then transported by the electrolyte (I-/I3-) back to the dye molecules, and the process is repeated.

In this fast-paced digital economy, customers' judgment is based on their experience with a company’s products and services. Customer reviews become a vital source of information for companies because this information can be used to enhance their products, understand customer wants and needs, improve brand reputation, and provide a competitor’s advantage. A company can understand customer needs and wants by going through reviews. Customers are encouraged to leave not only their opinion but also their ideas for the development of the product or service. By understanding these reviews, a company can actively respond and engage with a reviewer or problem. Failure of companies who don't answer customer queries may negatively impact customer loyalty. Customers will feel neglected by these companies and will choose competing companies to handle their needs. Additionally, customers may speak negatively about a company that does not respond to reviews. The AI-based customer sentiment dashboard can help gain a company's competitive advantage by identifying weaknesses in themselves and others. Companies will be enabled to understand where they succeed and where improvement is needed compared to their competitors, leveraging businesses to address strengths and weaknesses before competitors do. Through AI-based customer sentiment dashboards, a company can analyze its competitor’s reviews and use that information as leverage to make improvements to its products and services. Customers are increasingly leaving reviews on popular apps like Google Play, Stamped.io, Yapto, and Judge.me, Loox, Qualaroo, and Yelp. The reviews are rich in customer sentiments offering valuable insights into user satisfaction and pointing out the areas for improvement that are crucial to every company no matter how big or small. Despite their value, manually processing these reviews is a challenging task due to the large volume of unstructured data. Manual processing is also vulnerable to bias and human error, leading to inaccurate information. Traditional methods such as surveys have been proven to be ineffective if the main focus is targeted feedback and have low responses compared to reviews. The advances in artificial intelligence like Natural Language Processing (NLP) help us interpret and analyze human language and generate outputs like predicting what type of sentiments are in reviews. This project proposes developing an AI-based sentiment analysis model to evaluate customer feedback on two widely used taxi applications. Natural Language Processing libraries, such as the Valence Aware Dictionary and Sentiment Reasoner (. The model aims to categorize customer reviews into positive, negative, and neutral sentiments.

This thesis presents the design and construction of a small-scale humanoid robot, covering all aspects from 3D modeling to electronics design and programming. The robot is built entirely from custom 3D-printed components, with a new servomotor developed specifically to meet the project’s requirements. During the robot’s development, custom electronics were also designed, leading to a modular platform that enables easy interaction with diverse modules like servomotors and inertial measurement unit (IMU) modules. This modular approach allows these components to be programmed and controlled with minimal adjustments, as well as making development of potential future modules straightforward. The robot is operated via a computer application that includes a graphical user interface for displaying real-time data from the robot.

As the global demand for sustainable agriculture practices and renewable energy sources continues to rise, the integration of solar power technology with irrigation systems has gained significant attention. This abstract presents an overview of an innovative solution known as the "Automatic Solar Panel Sprinkler Irrigation System," which combines solar panels and smart irrigation technology to efficiently manage water resources in agricultural settings. The proposed system leverages solar panels to generate electricity and simultaneously operate an automated sprinkler irrigation system. Solar panels are strategically positioned in proximity to crop fields, utilizing photovoltaic cells to convert solar energy into electrical power. This energy is then harnessed to power the irrigation system, providing a sustainable and eco-friendly method for crop hydration. In Solar Power Generation the system consists of photovoltaic panels designed to capture solar energy during daylight. This renewable energy source is converted into electrical power, which is stored in batteries for subsequent use. Automated Sprinkler Irrigation is an advanced control system manages the irrigation process, ensuring efficient water distribution based on crop requirements. Soil moisture sensors and weather data are integrated to optimize irrigation scheduling. In Remote Monitoring and Control, farmers can remotely monitor and control the irrigation system through a user friendly interface, accessible via smartphones or computers. This feature enables real-time adjustments and ensures that water resources are utilized optimally. In Water Conservation the system is designed to minimize water wastage by delivering precise and targeted irrigation, reducing over-watering and the associated environmental impact. In Cost Savings the harnessing solar power, this system reduces electricity expenses, making it an economically viable solution for farmers, particularly in regions with ample sunlight. Using a tracker with an automatic solar panel sprinkler irrigation system can be a smart and efficient way to optimize the system's performance. And the most important thing is that in my prototype it is under the panel and will track the location of the Sun and with that it will lead to the Automatic movement of the panel from east to west and when the evening starts it will go back to its position.

The aim of this project is to enhance the mobility of individuals with disabilities, particularly aiding them in navigating stairs and challenging terrains. Across the world, powered wheelchair employ various methods, primarily categorized into two: 1) tracked mechanisms and 2) robotic wheelchair utilizing intricate robotic systems. The design presented by our team belongs to the latter category, which is recognized for its lighter build when contrasted with the former. However, despite its lightweight structure, this wheelchair design incorporates equipment that renders it more cost-effective and practical than conventional designs within the same category. Our design integrates three distinct mechanisms to adjust the height and center of mass of the passenger during stair climbing and maintain balance and surface contact. Utilizing an array of sensors, it continuously monitors the position of the person on the wheelchair and the wheelchair on the surface. This data guides adjustments in the mechanisms, ensuring stability. This innovation harbors the potential for enhancing various functionalities, including: GPS integration for user navigation. Real-time monitoring of vital signs (e.g., heart rate, blood pressure, body temperature). In an emergency, this data can be transmitted to ambulance centers to pinpoint the individual's location and immediate assistance. A simplified ambulance request system, accessible via a single button press. Overall, this innovative wheelchair prototypes aims to revolutionize accessibility, granting enhanced mobility and independence to individuals with disabilities.

本研究先觀察著名的密克定理（Miquel theorem）與密克點（Miquel point），我們創新給出了新的研究項目，關注密克點𝑃與密克三角形的頂點所構成直線和原三角形𝐴𝐵𝐶三邊直線的其餘六個交點，這是前人沒有觸及的研究項目，從而定義旁接三角形與衍伸三角形。 我們先針對特殊型（直角）的構圖，發現滿足兩個衍伸三角形的有向面積 [𝐴1𝐵1𝐶1]=±[𝐴2𝐵2𝐶2] 時，𝑃 點形成的軌跡為原三角形的 Kiepert hyperbola 與外接圓，這個是有趣且重要發現，我們也進一步給出其幾何必然性。進一步考慮 [𝐴1𝐵1𝐶1]=𝑟[𝐴2𝐵2𝐶2] 時，則刻劃出 𝑃 點軌跡為圓錐曲線系。在前面的基礎下，再針對一般型（任意角）的構圖，若 𝑃 點位於原三角形外接圓及Kiepert hyperbola 與 Steiner circumellipse 的線性組合曲線上，此時兩個衍伸三角形 𝐴1𝐵1𝐶1 與 𝐴2𝐵2𝐶2 的有向面積比值為定值，且兩者恆為相反數。