未得獎作品

我們得知從高雄糖廠及堆肥中篩出的嗜高溫好氧菌Geobacillus thermoleovorans T4，是本種細菌首先被報導具有纖維素分解能力的菌株，但目前僅止於學術研究階段，尚未實際應用於廢棄纖維素的分解上。本研究以廢棄農作物纖維素取代學術研究所用的羧甲基纖維素(Carboxymethyl Cellulose，CMC) ，將T4菌株置於稻稈與米糠培養基內，進行分解效能比較，再利用酵母菌的發酵作用進一步將葡萄糖轉化為酒精。本研究發現，在60℃的環境中，活化的T4 菌株可在CMC、稻稈及米糠培養基中生長繁殖且發揮其分解纖維素為葡萄糖的能力，尤其在米糠培養基中的分解效果最快也最好。此外，將生產的葡萄糖加入酵母菌之後，初步發現也能成功地進行發酵作用產生酒精，生質酒精的產出指日可待！;The Research on Using Geobacillus thermoleovorans T4 to Turn the Deserted Cellulose in Agriculture into glucose in Order to Produce Bio-Renewable Energy It has been found that Geobacillus thermoleovorans T4, a thermophilic aerobic bacterial strain isolated from a sugar refinery wastewater （55-60℃）in Kaohsing, Taiwan, can secrete thermostable endocellulase and hydrolyze carboxymethylcellulose （CMC）in some academic research, but it is stillunknown whether T4 hydrolyzes deserted cellulose in Agriculture. The aim of this study is to investigate the best conditions of T4 cellulase activity after mixing with deserted cellulose (such as rice bran and rice straw) by measuring the glucose concentration and bacteria number, and to produce the ethanol by activated yeast. T4 was added rice bran and rice straw medium, and cultured in 60℃ for 10 hours. The number of T4 and the concentration of glucose were measured every two hours. The best conditions were examined by comparing the hydrolyzation efficiency of T4 in different cellulose medium. We observed that T4 grew efficiently in different cellulose medium and hydrolyzed cellulose into glucose, especially in rice bran medium. The yeast also converted glucose into ethanol. Our research may shed light to the development of bio-renewable energy!

六種自行合成出來的聯吡啶釕錯合物Ru(bpy)₃、Ru(bpy)₂(phen) 、 Ru(bpy)₂dcbpy、Ru(phen)₃、Ru(phen)₂(bpy)、Ru(phen)₂dcbpy 及商用染料N3-dye，被成功的做成光敏性太陽能電池。光電流的產生率可由IPCE (incident photon-to-current conversion efficiency) 的測量可知。此類釕錯合物可以物理吸附或化學鍵結於TiO₂奈米粒子上。IPCE 的大小可以用來探討不同吸附方式的釕錯合物轉換光電流的效率。在物理吸附上Ru(phen)₂(bpy)的效率最好。化學鍵結的以N3 Dye 最好，我們合成的錯合物以Ru(bpy)₂dcbpy 較佳。此種以TiO₂奈米結構為承載基材的太陽能光電池(Dye-Sensitized Solar Cell)，染料仍以商用染料 N3-dye 最佳。本研究發現物理吸附的Ru complexes 也可產生光電流，若能最佳化，將可簡化染料錯合物之合成。 Six ruthenium complexes, Ru(bpy)₃, Ru(bpy)₂(phen), Ru(bpy)₂dcbpy, Ru(phen)₃, Ru(phen)₂(bpy), and Ru(phen)₂dcbpy were synthesized. These Ru complexes and N3 dye have been incorporated into the dye-sensitized solar cell system. The solar energy conversion of the ruthenium complexes were measured and converted to IPCE (incident photon-to-current conversion efficiency). There complexes were either chemically bonded or physically absorbed onto the nano-sized TiO₂ particles. The IPCE were utilized to compare the photon-to-current efficiency of these Ru complexes. Among the physical-absorbed dyes, Ru(phen)₂(bpy) has the highest IPCE. For chemical-absorbed dyes, the commercial N3 dye is still the best. Among the complexes synthesized in this research that are chemical-absorbed, Ru(phen)₂dcbpy has the highest IPCE The commercial N3 dye has the highest IPCE in the dye-sensitized TiO₂nanoparticle solar cell. We found that physically absorbed dye can convert photon to current. With better solar cell assembly, physically absorbed dye can have the same conversion efficiency as N3 dye.

為了瞭解黃斑黑蟋蟀叫聲和溫度之間的關係，我應用物理熱平衡原理，自製水浴槽控制環境溫度，以電腦錄音程式分別錄製15℃、20℃、25℃、30℃、35℃時的蟋蟀叫聲，利用Sound Forge軟體分析並比較不同溫度下的各種特性。結果發現所分析的chirp、chirp period、syllable period、pause均和溫度呈負相關，而單位時間內的叫聲次數則與溫度成正相關，並推導出15~35℃範圍內蟋蟀叫聲次數與溫度成正相關的公式。最佳直線為：﹙15秒內叫聲次數＋19.385﹚÷2.483=當時溫度﹙℃﹚，呈高度正相關﹙相關係數：0.9398﹚。本實驗也比較母蟋蟀對不同溫度下雄蟋蟀叫聲的偏好程度，發現母蟋蟀較偏愛25℃時的雄蟋蟀叫聲，此結果可能與雄蟋蟀在25℃時叫聲的波形最為穩定有關。為探測蟋蟀觸角上的溫度感受器位置，我們曾將不同部位的觸角加以剪除，結果顯示觸角剪除面積越大的雄蟋蟀越不傾向鳴叫，但無法證實是否為溫度偵測異常所導致。本實驗除供學術研究外，因黃斑黑蟋蟀在世界各地均有分布，所以希望能藉由分析溫度與蟋蟀叫聲的相關性實驗，未來嘗試能探討其在不同環境的適應行為亦或種化的可能性。另外，全球暖化問題日益嚴重，也希望能藉由相關實驗探討暖化對蟋蟀生態上的影響。最後，我們的實驗證明了蟋蟀叫聲和環境溫度確實有極大的關聯性，未來或許能參考蟋蟀感覺溫度的機制，製作出一個天然零污染的溫度計。 To find out the relationship of cricket’s calling and temperature, we use a hand-made water-bath tank to control the temperature and record the callings with microphone and software, Sound Forge. After analyzing the collected data, we’ve found that cricket’s chirp, chirp period, syllable period, and pause are indeed affected by temperature (15 degrees - 35 degrees C). Moreover, we also compare female cricket’s preference to the callings, and the result indicates that female cricket’s preference is changing with temperature. In the last, we tried to find out where the thermoreceptors are by cutting out the antennae. After cutting, crickets tend to not to make any calls at all, so we conclude the antennae might play an important role in sensing and calling. The experiment proves that this communication system is temperature coupled. Because the cricket, Gryllus bimaculatus, is a worldwide species, we may learn the accommodation or the possibility of performing a new species by researching the relationship of temperature and cricket’s callings. By the way, the Green House Effect is getting more and more serious, so we want to search for the influences on crickets that are caused by Green House Effect. The last but not the least, according to the report, maybe we can investigate the mechanism of sensing temperature and then make a natural thermometer that is no pollution in the future.

打開水龍頭，水鉛直落到正下方的水平板時形成圓形水躍。我們實驗研究20＜Nr＜150 的低雷諾數圓形水躍的變因，探討圓形水躍半徑和流量、出水口高度、以及液體黏滯係數間的關係。改用高黏滯係數的液體（4：1 的乙二醇水溶液），鉛直落入板上方深h 的相同液體時，先形成圓形，h 漸大時形成環形圓紋曲面，再加大h，形成多邊形水躍，內外圍同方向旋轉，轉速ω；液中加水，黏滯係數高於及低於某定值，多邊形都消失，側面觀察，外圍液體作鉛直面旋轉。將水平板改置於旋轉盤上方，使高黏滯係數（4：1）的乙二醇水溶液鉛直落入板上方形成多邊水躍，逐漸加快旋轉盤的轉速至 ω 時，多邊形都消失；逐漸減少乙二醇的濃度，至完全用水實驗，亦有多邊形出現，我們認為；平板上方的液體的轉動是非圓形水躍的成因。When a jet of water falls vertically on to a horizontal plate, it spreads out rapidly in a thin layer until it reaches a critical radius at which the layer depth increases abruptly. This phenomenon commonly called the circular hydraulic jump. We study the variations of the circular hydraulic jump radius, as a function of volume flow rate of the jet, the drop height, and the viscosity of the fluid at low Reynold numbers (20＜Nr＜150). When a jet of ethylene-glycol mixed with water (the kinetic viscosity is 10 times of water) falls on to a horizontal plate which is immersed in the same liquid with height h. We find the circular state frequently undergoes spontaneous breaking at its axial symmetry into a stationary polygonal shape. Rather than displaying the weak angular deformation generally seen in fluids, the jump forms clear corners and edges that are often straight. Several of these polygon formations show consistency in height h. And we find the polygon structure rotates in a horizontal motion. When a jet of water falls on to a horizontal plate, and the plate is rotated by a motor ,we find the axial symmetry of the free surface of circular hydraulic jump is spontaneously broken a various number of cornered polygonal shapes. We study the number of corners as a result of the volume flow rate of the jet, the drop height and the viscosity of the fluid in the experiment. And the frequency of rotation of the plate is taking into consideration.

This research analyzes goldfish’ (Carassius auratus) environmental preference behavior by setting up different environmental color-models to spur goldfish’reactions. It is investigated that pre-conditioned preference of goldfish was stressed by electric shock or high osmotic pressure. We’re interested in how stress experience modulate goldfish’ exploring behavior and its environmental preference. Goldfish that prefers brown-colored environment (compared with white) is suitable for being an model animal to investigate fish’s environmental preference. Both electric shocks and high osmotic pressure, two different kinds of stress, can affect goldfish’ behavior. It shows that fish have the ability to learn and memorize the stress experience. Besides, different stress has different effects on fish’ environmental preference behavior. It proves that there are complicated interactions among environmental stimulus, memories of stress and behavior caused by different kinds of stress.本研究利用環境色彩特徵的差異，建立朱文錦(Carassius auratus)環境偏好行為之動物模式，探討不同逆境刺激經驗(施予電擊或高滲透壓環境)，與魚類環境偏好行為的交互作用，以研究魚類的逆境經驗，是否可形成記憶，並影響其行為。我們發現朱文錦偏好土色環境(相對於白色環境)，適合作為探討魚類對環境偏好的實驗動物。電擊與高滲透壓兩種不同性質的逆境經驗，皆可影響朱文錦的環境偏好，顯示魚類具有記憶逆境環境的學習能力。此外，不同性質的逆境經驗，對魚類的環境偏好行為具有不同的影響。證明「環境刺激—經驗(記憶)—行為表現」三者之間具複雜的交互作用。

本研究的目的在於探討螺旋狀剝皮對植物生存以及芭樂果實的影響。實驗的設計是將選擇的植株或其枝幹分成四組，分別施予環狀剝皮、螺旋狀剝皮一圈、螺旋狀剝皮三圈及不剝皮等處理。 研究結果顯示，螺旋狀剝皮不會導致植株死亡，且於處理部位下方會長出新的枝葉。芭樂果實經100 天的生長之後，不剝皮處理之枝幹長出的芭樂重量都在 300g 以下，而螺旋狀剝皮一圈之枝幹長出的芭樂有重達300-400g(5%)及 400-500g(5%)，最重的達 490g；螺旋狀剝皮三圈之枝幹長出的芭樂也有重達 300-400g(占 7.7%)。此外，與不剝皮處理者比較之，螺旋狀剝皮也有助於高甜度芭樂比例的提升。 本研究成果若能成功應用在其他果樹上，有助於提高果農產收的經濟價值。 The purpose of our study is to examine spiral bark-stripping’s effects on trees, and observe what will happen with this treatment, especially in the survival of trees and fruit of Guava. The experimental design is as below. First, we divided tree samples or branches into 4 groups randomly, and then treated each group differently with girdling, spiral bark-stripping a circle, spiral bark-stripping 3 circles, or non-stripping on the trunks or branches. As a result, spiral bark-stripping did not cause death of trees. Instead, new green leaves grew below treated area. After 100 days of growth, the fruit of Guava treated with non-stripping weighed below 300 grams, while some fruit weighing above 300-400 grams(5%) and 400-500 grams(5%) grew on those trees treated with spiral bark-stripping a circle, with the heaviest of 490 grams. Besides, there are some fruit weighing 300-400 grams(7.7%) growing on those trees treated with piral bark-stripping 3 circles. The result shows that spiral bark-stripping, compared to non-stripping, promoted the proportion of high-sugar fruit. This study provides a possible way to increase the economic value of fruit harvest if applied to other kinds of fruit trees.

車輛遭竊以及酒醉駕車對社會安全造成的危害普遍存在於世界各先進國家。以目前看來，此問題並非嚴刑峻罰就能解決的。若本研究計畫將來普及應用於大眾，必定可以同時減少車輛遭竊之機會和預先防範酒醉者開車駕駛。 生物特徵泛指指紋、虹膜、臉型、聲紋甚至DNA 等等，它的特性即每個人均具有此獨一無二的性徵，加以應用就如同無法被仿造或偷竊的身分證明。若車主能利用自己的生物特徵為車輛上鎖，即可防止車輛遭竊。 視覺密碼學是屬於資訊隱藏技術的一種，藉由兩張以上的影像疊合後呈現其中隱藏之機密資料。雖然視覺密碼學原先純粹是為了加密資料，但我們將之加以修改，設計出複雜且無意義的偽裝影像，使其不易被酒醉後神智不清的人疊合成功而讀出其中的加密資料。 結合生物特徵及視覺密碼學，即可設計出一套可安裝於車上的系統，不僅防止車輛失竊又能防止酒醉駕車事故的發生。 ;The damage which is caused to social security by car stealing and drunk driving universally exist in others developed countries. As things are, these problems can not be solved by severe law. If our project can be applied in the masses extensively, it must be able to prevent both car stealing and drunk driving. Roughly speaking, biological characteristics mean fingerprint, iris, face, pronunciation and DNA. Their uniqueness is a special feature that everyone has. If we can apply it more, the characteristics are identification that can not be imitated or stolen. If the car owner can use his or her biological characteristics to lock the car, the car stealing could be prevented. Visual cryptography belongs to a kind of information hiding. By stacking two or more images, user can recognize the secret information hiding in the stacking. Although visual cryptography is merely created for encryption at first, we modify it and design a complex as well as meaningless stego-image. That makes the unconscious driver who is drunk fail to both stack the images and recognize the secret information hiding inside. We combine biological characteristics with visual cryptography and design a suit of system that is able to install in the car. This system can prevent not only car stealing but also drunk driving.

利用范式起電器將靜電導入蒸餾水、甘油、苯、環己烷、乙醇、正丙醇、正戊醇，以及HCl(aq)、NaCl(aq)、CuSO4(aq)……等不同溶液中，我們發現：非電解質溶液可以藉由極性分子的媒合作用"貯存”電子，而其中H2O效果最好，即水合電子是可以穩定存在的！但在水中若添加HCl、NaCl等電解質會提高容易導電性，以致於無貯存電子的效果。我們也發現苯雖不是極性分子，但因具有π共振系統，也能有效貯存電子。另外，從引入密度泛函數理論結合類導體可極化連續模型加以計算的結果，也能發現極性分子容易的溶劑電子親核能比非極性分子容易來的大，與實驗結果吻合。By using a Van de Graff Generator to put electrons into various solutions or solvents (such as water, alcohol, benzene, propyl alcohol, solutions of sodium chloride, etc.), we find out that nonelectrolytes can "store" electrons through hydration of polar molecules. And water has the best ability of keeping electrons among others. In other words, hydrated electrons can exist stably. However, if we add electrolyte into solvent, the solution won't store electrons because of its increasing electric conductivity. The experiment also shows that benzene can keep electrons though it is a nonpolar molecules. We infer that it is the " π resonance system " which contributes to its high ability of electron storage. In addition, by introducing the calculations of CPCM (Conductor-Like Polarizable Continuum Model), we find out that the electron affinity of polar solutions are stronger than those of nonpolar solutions. The computed results are in agreement with our experiment.

資訊時代的來臨，促使我們的社會型態大幅改變，無一不朝數位化的方向邁進。網際網路與資訊科技的快速發展，近年來影像資料庫和數位圖書館大量的成立，關於影像資料檢索的研究已漸漸成為一門極為重要的研究議題。在本研究報告中，我們提出一種植基於向量量化編碼法的灰階影像檢索技術。向量量化編碼法是一種極為簡單的影像壓縮技術。我們應用這個編碼法，來萃取出灰階影像內容的特徵值。同時我們也計算出整張影像與影像中間位置的像素平均值，作為日後檢索影像時過濾掉影像資料庫中不需要比對特徵值的依據。\r 我們所提出的方法能有效地萃取影像內容的特徵值並且讓使用者可以快速且正確地查詢到所需要的影像。當影像資料庫中存在與查詢影像完全相同的影像時，我們的檢索技術都能在第一時間第一順位檢索出這張影像。即便影像資料庫中不存在與查詢影像完全相同的影像時，我們的檢索技術平均74.3%也能在第一時間前五個順位檢索出最相似的影像。\r \r With the coming of the information age, our sociological system change extensively, and everything has moves toward digitization. Due to the rapid development of Internet, information technology, the rapid growth of image databases and digital libraries recently, the related researches of image retrieval have become a very important issue. In this memoir, we propose an image retrieval scheme based on the vector quantization to retrieve similar images from the image database according to the pre-collected image features. Vector quantization is a very simple image compression scheme. We have applied vector quantization to extract features from grayscale image. In order to speed up the retrieval process, we also calculated the mean pixel values of whole images and the central part of the image to filter the images, which are significantly dissimilar to the query image.\r The experimental results show that our proposed approaches can effectively extract features from the image and enable users to retrieve images from image database quickly and accurately. When images stored in image database match query image, the proposed scheme can instantly retrieve the stored image at the first rank. Even though images stored in image database query image exactly, the proposed scheme can instantly retrieve the stored image over 74.3% at the first five ranks.

Now Artificial Neural Networks using on the basic math is fewer. This paper is to suggest the Linear equation of the basic math using the BP Artificial Neural Networks. The BP Neural Networks have power ability for learning and can approximate any function, and regularity can be found to solve the linear equation. A good sample is one of the important elements for learning of Artificial Neural Networks. Generally, the samples are a lot of amount for the resolution of Linear equation. This paper is to use the principle of two points decide one line for the samples. The experiment shows that this method curtails many samples. Furthermore we also use Artificial Neural Networks to solve the problem of point-slope form. The experiment result is very satisfactory, and it offers some idea for the basic math using Artificial Neural Networks.目前人工神經網路較少用於基礎數學方面的求解，本文針對基礎數學直線方程式提出BP 人工神經網路應用於求解直線方程式，運用其很強的學習能力、(輸入向量和其對應的目標向量來訓練網路、逼近函數)，尋求規律來求解直線方程式；而良好的樣本是人工神經網路學習的重要條件之一，一般解決直線方程式需要大量樣本，本文利用二點決定一直線的原理來解決樣本問題，實驗結果顯示，這一方法成功的縮短了可觀的學習樣本，此外我們也運用BP 人工神經網路來求解點斜式的直線方程式問題，實驗結果是可行的，並且為人工神經網路用於基礎數學提供了一些思考方向。