2021年

延續2020年視錯覺研究，我們想要探討視覺神經細胞接受不同亮度對立顏色刺激後是否會有不同活化程度，影響視錯覺？另外也想探討不同對立配色的赫曼方格中線條寬度的閾值是否有差異？我們設計網頁版程式，改變赫曼方格線條顏色的亮度和寬度，以正常受試者為對照組，色盲受試者為實驗組，探討視錐細胞的變異是否影響視錯覺的產生。我們以顏色拮抗理論定義對立配色的赫曼方格，以標準化情境進行實驗。在線條亮度的結果中，黑白配色的赫曼方格圖案中線條與方格對比度越大，視錯覺產生的效果越明顯。兩群受試者在綠紅、紅綠、藍黃這三組配色，線條亮度範圍呈現兩極化的趨勢，可能原因為色盲因錐狀細胞變異，需要較高亮度的對比顏色刺激才容易讓神經細胞有活化程度上的差異，造成視錯覺出現。在改變線條寬度的結果中，發現藍黃的赫曼方格閾值與明顯值最大，黑白次之，綠紅最小，可能與細胞感受野大小有關，且線條寬度超過感受野的閾值，視錯覺就無法產生。兩群受試者的線條寬度閾值差異，可能與色錐細胞變異有關。綜合以上結果，顯示視網膜色錐細胞與神經節細胞的作用，對視錯覺形成扮演一定角色。在消費行為問卷結果中，我們發現格子衣服若是顏色對比度大、線條較細的圖案設計，消費者的滿意程度較低，這原因可能與視錯覺產生影響衣服視覺效果。

幹細胞會進行不對稱分裂以維持組織恆定，一個子細胞分化為有特定功能的細胞，而另一個則維持其細胞潛能。粒線體能進行分裂和融合並維持動平衡。現今的研究已經了解，誘導型多能幹細胞(iPSC)的粒線體動平衡變化會促使其直接分化 (Seo BJ, et al., 2018)。然而，果蠅卵巢生殖幹細胞(GSC)內粒線體動平衡與幹細胞分化的關聯仍不清楚。本研究利用容易辨認的果蠅卵巢生殖幹細胞來探討這個問題，並使用Gal4-UAS系統與RNAi操縱粒線體動平衡，並發現粒線體融合蛋白被抑制會導致油滴堆積及幹細胞損失。另外，使用左旋肉鹼(L-carnatine)增進脂肪酸代謝，發現增進代謝會導致油滴減少及幹細胞回復。本研究著重於探討粒線體動平衡對GSC維持與脂肪酸代謝的影響，並對粒線體脂肪酸代謝與幹細胞分化的潛在關係提出觀點與佐證，盼未來能有更進一步的研究與醫療方面的應用。

Markers have become essential in school and work life due to their great usefulness for teaching and homework. Despite the benefits they have brought, markers are the cause of great contamination from the ink manufacturing process to the excessive production of plastic. Ecological inks in markers and the innovative design of a refillable marker, allow to generate less pollution without having to stop using this product. From dyes created with coffee, fruits and vegetables that pass through different processes, natural inks arise that replace the use of polluting dyes. Likewise, implementing recycling plans in different institutions, markers that were no longer used were collected to be filled with ecological inks and used again. In addition, the excessive production of plastic is reduced by selling and refilling markers and ink kits.

本研究以AI虛擬試衣系統(Virtual Try-on)為主題，透過深度學習技術，並結合幾何匹配模型，開發出試衣系統，可將使用者上傳的照片，模擬成穿著新衣的模樣。 首先，以深度學習模型將人物原始圖片取出骨架節點，並生成人體遮罩以及保留人物頭部，再結合以上三種資訊合成為高維特徵圖。接著將目標替換衣物生成出依照人體姿態扭曲後的衣物圖片。最後於Virtual Try-on模型中將人體高維特徵圖與扭曲衣物作為輸入，並經過深度學習網路合成出穿著目標衣物之人體圖像。本研究結果發現，人物站姿單純，且雙手緊貼身側，以及拍攝角度為正面、衣服款式為短袖、背景色彩對比度較高與衣服圖案單純的原始圖片，可得到較好的合成結果。

全球貧血人口普遍，然許多人並不了解自身是否罹患貧血；長期患有貧血的病人，亦需定期抽血檢驗追蹤是否有貧血惡化達到需接受輸血的程度。研究顯示，結膜之顏色與貧血有絕對關係，結膜越白則貧血越嚴重，醫師也常使用結膜顏色推測是否有貧血情形。若能設計手機軟體自動分割結膜影像並分析其顏色，將有機會推測受試者是否罹患貧血。本研究收集22位無貧血者及8位貧血病人，並獲得其近期血紅素數值。以手機取得受試者之眼睛影像後，成功設計程式以深度學習完成結膜自動影像分割，對於分割影像以面積大小進行後期處理後，依其取得下眼瞼結膜之三原色平均，再利用kNN與SVM演算法判斷預測出該受試者是否具有貧血之症狀。本研究主要分為兩階段，其一為進行下眼瞼結膜分割模型訓練；其二為製作有無貧血之判斷模型。整合上述眼瞼分割模型(IoU=89.8%±0.02%)與貧血判斷模型(SVM以polynomial核函數測出 準確值93.3%±24.3%)後，可得貧血診斷準確率為80%。此結果代表AI技術有機會透過結膜影像，判斷被拍攝者是否有貧血情形，未來若能增加研究人數，將可設計網頁版或手機APP加以推測血紅素值，供大眾居家篩檢。

This is the self-driving and navigating vehicle which follows a track. This robot is made by our group. We made this robot together assembling the parts. This robot is commonly used in industries to shift goods and product. In this robot we have arranged all the things also metal detector which buzz when a metal is detected under it. This robot helps a lot in industrial life and is also easy to make if we learn the steps. This robot also needs programming to make it work. The programming software used for it is known as Arduino IDE. This is the figure of this robot in industries. Here the people are keeping goods in the pickup and shifting them. This robot can also run in white track, only if we do the programming right for the white track. Nowadays in cars too this type of system is used like example: Tesla model X. In the car this system is used and to avoid the obstacles something named Lidar is used. To make this vehicle follow its track and the motor to run different things are used like IR Sensor, and L298N motor driver module respectively.

921地震震波對高11-15層大樓產生重大危害。本研究以模型模擬11層大樓建築物，頂樓設置水塔配合陽台天花板設置水撲滿的雙阻尼消能系統設計，探討不同震度震波在雙阻尼系統減震成效。模擬之設備利用3D列印機自製水撲滿、不同形式網狀隔間液體阻尼零件，自製地震模擬器以電流調整器控制怠速馬達，進行模擬不同震度下高樓產生擺動與震盪之狀態與特性。 實驗發現單一阻尼消能元件的減震阻尼效能較差，雙阻尼消能系統可提升39％至58％減震阻尼效能。其中雙阻尼消能系統若有網狀隔間，水波擾動震盪越明顯，阻尼效能提升 6％至14％。11層大樓於頂樓設置平行器壁網狀隔間正方形水塔，並配合在第9至11層樓處，設置隔間距離較短網狀隔間水撲滿，二者水位設定六分滿，此液體雙阻尼減震消能系統，可抑制模擬震度5至7級震波對大樓產生的順向波動共振與大樓結構體的自主扭轉共振。

The Information Technology (IT) area has shown great growth in recent years, even with the economic recession that 巴西 has been through and the impact of the coronavirus pandemic. It is estimated that by 2024 the area will have a deficit of more than 290 thousand professionals. However, companies still face other difficulties in hiring, especially people who are looking for their first job in the Information Technology area. Most part of these difficulties are lack of qualified manpower and high prerequisites to fill internship or junior positions. As a result, the objective of this project is: to develop a platform that connects people who seek guidance, improvement or professional relocation in the Information Technology area with professionals that already have the experience they are seeking. The first step was a research and analysis of similar platforms in the market, whose proposal involves mentoring or professional connections, and it concluded that there are no services that fully meet the project’s proposal. In the second step, a research was done about mobile development, highlighting Flutter and Firebase platform. The third step defined the application’s features, such as suggestion of users and mentors, search for users, become a mentor, private chat, video calls, Portuguese and English languages, light and dark themes and profile customization. The suggestion of users and mentors is done by a match with the registered users, relating their areas of work (where the user has experience) and the areas of interest of each one. For the coding of the project, Flutter and Firebase technologies were used. To design the app, it followed Material Design specifications. For testing and distribution, the app was published on Play Store, Google’s Android application platform. The tests were performed by both the researcher and a selected group of users to verify if the functionalities were in accordance to what was defined in the beginning of the project. Perceiving the correct functioning of the application, the project achieved the proposed objective. In addition, it expanded its reach area, because it is possible to find users and mentors from any other area of the market.

矽元素因具有極高的理論電容和鋰攝取量(Li Uptake)而被認為是有潛力的鋰電池負極材料，然而該材料的特性使其在充放電時體積巨幅脹縮，造成結構碎裂，縮短了電池壽命。 本研究設計一套低耗能、低成本的製程，以現今台灣光伏產業大量難以回收之廢矽泥及鎂金屬為原料，將矽之粒徑縮小為奈米級以解決上述體積膨脹問題而成為極佳的鋰電池負極材料。 我們先將矽合成矽化鎂，再利用二氧化碳及氮氣的氧化還原反應製成多孔矽，隨後再利用創新的化學蝕刻法產出奈米矽。目前業界奈米矽的製備仍以高功率研磨為主，本研究首度使用銅離子、過氧化氫及氫氟酸作為蝕刻液，成功製造出平均粒徑100nm之負極材料。而過程中所使用的鎂粉可回收再使用，回收率高達94%，故幾乎無成本廢料排放，大幅降低當今鋰電池的生產成本，也落實防廢、再生、節能等綠色化學原則。

"When the Well is Dry, we will know the Worth of Water." Most of 埃及 and the world suffers from water and petrol shortage. With the current consumption rate, two-thirds of the world's population may face water shortages by 2025. These are water pollution, overpopulation, and agriculture, leading to wastewater from landfills and pipes that seep into the ground and may pollute the water, making it unfit for human consumption and waste more water. Besides, some accidents happen to water distribution and irrigation systems, causing a significant loss in water. According to the ministry of water resources, in 2016, the need for freshwater is 67 billion cubic meters. On the other hand, 埃及 receives only 55 billion cubic meters (2.6 billion cubic meters of them evaporate during runoff). Also, one of the wasting water methods in modern irrigation systems is water leakage from pipes as the water transmission and distribution lose about 31% of the produced water due to pipe leakage. Besides, every day more than 3.3 billion liters of treated water – 20 percent of the nation's supply and 234 million liters a day more than a decade ago – are lost through leaking pipes in England and Wales. Many reasons lead to leakage in pipes like water pressure, clogs, and corrosion. The leakage in pipes does not exist in the lines of water only. Also, the pipes in a petrol can cause dangerous accidents like the accident in the Bahira government that led to the death of 6 people and made 19 in a dangerous state. Our project designed a system that can detect fluid leakage and deal with it fast to prevent the wasting of fluid by using sensors and electronic circuits. Our system provides us with information about the fluid (like the amount of the flowing fluid and its speed). Therefore, if there is a difference in the reads, we understand that there is a leakage in this region, and the system will automatically stop the fluid flowing through the pipes. the system will locate all the leakage sites and send them to the mobile app with the amount wasted and the actions taken.