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.

Wibrazz is a wearable communication tool that allows the teacher, the therapist, the parent to communicate information to the child remotely using the device. Haptic (vibrationbased) feedback is becoming increasingly important in everyday life. A vibrating device that transmits information through clothing can help people with disabilities who have no or limited sensory use to live an integrated life in society without barriers.

色彩偏好影響生活的許多決策，對於背景對色彩偏好的影響，現行兩個色覺理論(對比理論與生態價理論)有不同的解釋，本研究以高中生為對象，旨在探討背景對色彩偏好影響與支持理論，並提出運用方向。 之前色彩定量方式缺乏對敏感度與視錐細胞的考量，本研究發展以中性灰為基礎對不同色彩的定量方法，並以此進行色彩偏好測試。實驗結果發現：顏色偏好會受到背景影響(支持對比理論)，背景對各色彩具不同影響力，偏黃偏綠顏色受背景影響較大；綠色與藍色背景提升偏黃與偏綠之顏色偏好而紅色背景則會下降(支持生態價理論)，背景亮度不影響顏色偏好。期望研究結果有助於青少年環境與產品設計配色參考，並對未來背景影響顏色的神經機制研究提供基礎。

醫療級水凝膠在注入人體後容易因運動行為而產生位移，因此需要體外測試方法來評估水凝膠的附著性，以製備適合不同部位使用的水凝膠。本研究設計兩種測試方法來模擬水凝膠在人體的斜角流動狀態和旋轉流動狀態的位移，藉此推斷水凝膠施打入體內後的變化。本研究採用兩種不同黏性的水凝膠和不同粗糙度表面如人工皮、陶瓷和金屬來模擬人體部位的接觸面，探討水凝膠的附著性質。斜角流動測試下，黏性高的水凝膠在陶瓷和金屬 30°、45°及90°的斜角下幾乎不會流動，黏性低的水凝膠則會隨著角度的增加而流速加快。陶瓷粗糙度最高，水凝膠在其表面上附著性質較強。旋轉流動測試下，高黏性的水凝膠在模擬跑步時都具穩定性，而低黏性則只適用於較穩定的步行狀況。體外測試方法能區分不同黏性水凝膠的附著性質，說明此方法可作為篩選適用的水凝膠的依據。

醫療級水凝膠在注入人體後容易因運動行為而產生位移，因此需要體外測試方法來評估水凝膠的附著性，以製備適合不同部位使用的水凝膠。本研究設計兩種測試方法來模擬水凝膠在人體的斜角流動狀態和旋轉流動狀態的位移，藉此推斷水凝膠施打入體內後的變化。本研究採用兩種不同黏性的水凝膠和不同粗糙度表面如人工皮、陶瓷和金屬來模擬人體部位的接觸面，探討水凝膠的附著性質。斜角流動測試下，黏性高的水凝膠在陶瓷和金屬 30°、45°及90°的斜角下幾乎不會流動，黏性低的水凝膠則會隨著角度的增加而流速加快。陶瓷粗糙度最高，水凝膠在其表面上附著性質較強。旋轉流動測試下，高黏性的水凝膠在模擬跑步時都具穩定性，而低黏性則只適用於較穩定的步行狀況。體外測試方法能區分不同黏性水凝膠的附著性質，說明此方法可作為篩選適用的水凝膠的依據。

Upcycling abandoned beehives to make new products can reuse the useful materials in old beehives and produce less trash. As known that bees leave their beehive in these following situations like insufficient replenishment, frequent unboxing and environmental issues. Then the beehive will be abandoned and will have no use left. In this project, a piece of honeycomb was collected from abandoned beehive and melted in order to extract beeswax. The potential of the extracted beeswax for replacing plastic to produce fillers of 3D pens was studied. Natural materials like seashell, rosin, soy bean and coffee ground were tested as ingredients of 3D printing materials. Finally, the potential of using extracted beeswax in 3D printing was confirmed. Beeswax has a low melting point at around 64°C and solidify quickly at room temperature. The high plasticity of this natural wax fulfills the criteria of 3D printing materials. Biodegradable wastes, like coffee grounds and soy bean grounds were tested as additives for reducing the beeswax content. Sea shell grounds were eliminated from the tested list as its filaments broke into small pieces of brittle fragments during the production process. 5% and 10% of these additives were the optimal formula for making long filaments. Yet, the thin filaments made by pure beeswax were not strong enough, filaments of selected beeswax-soy bean grounds were further strengthened by mixing with 5% or 10% rosin. Among the four different ratios of Beeswax: Soy bean grounds: Rosin (9:1:0.5 / 9:1:1 / 9.5:0.5:0.5 / 9.5:0.5:1), filaments in the ratio 9.5:0.5:0.5 demonstrated better flexibility, higher tensile strength and compressive strength, thus B9.5:S0.5:R0.5 was the final formula of biodegradable beeswax 3D filament.

Agro-guard aims to revolutionize disease identification and community-based projects in the field of agriculture. Integrating Machine learning, Computer vision, clustering, and community-based technology, this project helped farmers to detect their plant disease with their solution and for early warning of plant disease which was spreading in their community which helped in crop management. The research project is divided into three parts.First,Integrating Machine learning to detect and classify plant disease with their solutions.Second,Integrating Density-Based Spatial Clustering of Applications with Noise (DBSCAN),to identify disease and analyze the pattern within agricultural regions.Third,Establishing notification system to notify real-time alerts to farmers about disease spreading in particular region.The research is crucial because it solve one of the crucial problem of our community which is untimely detection of disease.The finding of the research highlight the effectiveness of Agro-Guard framework in early disease detection and community detection.The machine learning models achieved high accuracy in identifying common plant disease and clustering results the pattern in diseases that were very important for notifying the community.The significance of these findings is that it can build powerful system which will overall grow the production of crops and plants due to timely update of the disease prevailing in the community.It contributes in sustainability production of crops and plants which ultimately ensure the good livelihood of farmer.

本研究使用柔性PET基板，並將Al2O3沉積於明膠上作為介電層，製作電阻式記憶體-Al/gelatin/ITO-PET元件（AGI柔性元件)，期望提升基板的可撓性，同時維持元件的基本運作模式。為檢測元件性能，本研究分別在平面及彎曲狀態下測量其電性。透過施加循環電壓於AGI元件，測繪其電流變化圖，並分析元件不同操作狀態下（平面、固定彎曲、動態彎曲）的電性穩定度。研究結果顯示，AGI柔性元件在每次循環間電流變化小，且在不同半徑的 動態彎曲測試中，電流－電壓（I－V）疊合圖的開關比均呈現穩定。綜上所述，AGI柔性元件在兩種彎曲狀態下能夠展現低切換電壓與穩定的開關性能，加上明膠的生物相容性和優異性能，表現出其在穿戴式記憶裝置的發展潛力。

This paper describes a power-profile-based approach to CanSat picosatellite energy usage estimation. We measured the power profile of individual CanSat components on a test bench. The collected data was used to create a power consumption model for a simple flight control algorithm. The power consumption model was implemented in Python programming language and was used to simulate the CanSat flight. The simulation results were compared with the measured power profile of a fully integrated CanSat running the same flight control algorithm. The model showed an error of 2.2% and proved to be suitable for use in battery capacity optimization.

Titanium dioxide TiO2 is a semiconductor, that has great chemical and physical properties, such as remarkable resistance against corrosion, chemical stability, and it’s a non-toxic material. Due to these properties, it rises as an excellent candidate for a wide range of different applications, such as being a popular material for solar cells, paints, cosmetics, energy storge devices, and water splitting. For photoelectrochemical water splitting to generate Hydrogen, a large surface area is essential, to be maximized to enhance photocatalytic redox processes and hence improve overall efficiency. Therefore, different methods have been utilized to fabricate TiO2 nanotubular structure. However, they either encounter a difficult process because of a long synthesis time or the need of expensive precursors. In our work, we demonstrated a study of enhancing 1 D TiO2 film to perform as a bifunctional catalyst (works as cathode and anode). As it is known that TiO2 is kinetically hampered as cathode for producing hydrogen from water, this is due to sluggish electron transfer at the interface between TiO2 and water and the conduction band of the TiO2, which is more negative than H+/H2. To tackle this problem, TiO2 film should be modified. In this work, we modified the TiO2 as bifunctional by investigating different parameters in detail, like the anodic oxidation solution content, anodic oxidation time, and the role of the polyethylene glycol chain. Electrochemical characterization and SEM, and XPS were utilized to prevent the nanotubes structure and to confirm the chemical bonding as well as investigating the physical properties such as resistance and electron kinetic mobility.

Identifyingthespeciesorsexofabirdbasedonafeatherfoundinnatureisoftenchallenging,evenwith the help of reference books. However, determining the presence of a rare species in a habitat using an indirectpresenceindicator,suchasafeather,canhelpinimplementingspecificmeasuresforpreserving the species. The aim of this study is to investigate whether DNAgenotyping is better than specialized books when identifying bird feathers. Toanswerthisquestion,Icollectedfeathersinthewildand,withthehelpoftwobooks,triedtoidentify theirspeciesandsex.Then,assistedbyDrGwenaëlJacob(UNIFR),Iisolatedtwogenesinnineselected feathers. The investigated genes were the CHD gene for sexing and the COI gene for species identification.Todothis,theDNAwasfirstextractedfromthefeathers,purified,andamplifiedbyPCR. Subsequently,anelectrophoresis wasperformedtosexthe samples andcheckthatthe PCRamplification hadworkedproperly.Finally,thesamplesweresequencedbytheMicrosynthlaboratory(St-Gall),and the obtained sequences were entered into the NCBI database. Acomparisonoftheresultsobtainedwitheachofthetwodifferentmethodsshowsthattheidentification with specialized books was fairly successful. 56% of the species identification made with the books were indeed confirmed by genotyping. DNAanalysis provided a different result only for feather #16. However,33%ofgeneticidentificationfailed,eitherduetogeneticmaterialqualityorlaboratoryerrors. Asitwaspossibletoidentifythesexofonlyonesample(feather#14)withthebooks,itwasnotpossible tomakeatruecomparisonofthetwoapproaches.However,asgeneticsexingworkedwell(onefailure, feather #28), it can be inferred that genetic sexing is more effective than using books. This work demonstrated that DNAis not infallible and that sometimes books are equally effective in identifyingbirdspeciesfromafeather.However,insexingbird,DNAremainsmoreefficient.Thus,one can conclude that DNAgenotyping is not superior but rather complementary to specialized books for identifying bird feathers.

此研究針對磁力耦合振盪器進行理論建構與實驗設計，在理論建構中，我們先以彈力作為外力並推導公式，與實驗數據擬合後發現擬合參數極具參考價值。將磁力引入系統並推導公式，發現其與實驗數值擬合效果也極好。融合上述公式與參數後推廣出能描述振盪器運動模式之運動方程式，以Python數值模擬發現，此方程式與數據十分吻合且能產生波包與頻率下降等真實情況，故推論該運動方程式是有一定價值的。在傅立葉分析中發現了簡正模之應用，且當磁鐵初始距離越短或磁力強度越大時，振盪頻率都會有所提升，而初始位移不會造成影響。而本研究的成果將可透過一已知磁性量值之磁鐵求出另一板簧上物質之磁性量值，進而應用到新型機械式磁性雙板簧的懸臂磁力計設計。