<p> Significant portions of nitrogen (40–60%), phosphorus (80–90%) and potash (30–50%) applied in agricultural fields are not taken up by plants, causing serious issues for farmers and the environment. Fertilizer losses result in greater fertilizer input costs and the cost of fertilizer is projected to increase due to limited ore resources and increasing fossil fuel prices. Moreover, excess fertilizer application can contaminate water and air, resulting in human health problems. Leaching fertilizers also induce eutrophication, acid rain and global climate change. Therefore, developing crops with high nutrient uptake efficiency is important for economic and environmental sustainability of agriculture. Crop improvement depends on efficiency and accuracy of genotyping and phenotyping. Genotyping has improved in recent years and is generally efficient and accurate. In contrast, improvements in phenotyping lag far behind. Lack of high-throughput (efficient, accurate and inexpensive) phenotyping (HTP) methods limit the speed of genetic improvement. As a result, there is an increasing interest in development of HTP for predicting crop nutrient status. My research addresses whether hyperspectral data in the visible-near-infrared range (HS-VNIR) acquired by a handheld device or an unmanned aerial vehicle (UAV) can be used for predicting maize nutrient status. Proximal and remote sensing data coupled with ground reference measurements of hybrid maize nutrient status were collected in fertilizer strip trials conducted at Purdue Agricultural Centers located throughout Indiana. Statistical models were developed to predict nutrient status based on HS-VNIR with coefficients of determination of cross-validation [R² (CV)] used to evaluate the performance of the predictive models. Models with acceptable goodness-of-fit [R² (CV) > 0.30] were considered satisfactory. These studies demonstrated that models developed using handheld proximal sensing data performed adequately for predicting N, K, Mg, Ca, P, S, Mn, Zn and B. Similarly, models developed using UAV-based HS-VNIR could be used to predict N, K, Mg, Ca, P, S, Mn, Zn and B. Models that combine proximal and remote sensing data also performed well with predictions of N, K, Mg, Ca, P, S, Mn, Zn and B. In conclusion, handheld or UAV-based hyperspectral imaging can provide corn breeders with HTP data on the status of all macronutrients (N, K, Mg, Ca, P, S) and some micronutrients (Mn, Zn, B). Deployment of this technology may provide a valuable tool to support development of cultivars with improved nutrient uptake efficiencies.  </p>

Handheld devices have a limited amount of screen real estate. If a handheld device could take advantage of larger screens, it would create a more powerful user interface and environment. As time progresses, Moore's law predicts that the computational power of handheld devices will increase dramatically in the future, promoting the interaction with a larger screen. Users can then use their peripheral vision to recognize spatial relationships between objects and solve problems more easily with this integrated system. In the spillable environment, the handheld device uses a DiamondTouch Table, a large, touch-sensitive horizontal table, to enhance the viewing environment. When the user moves the handheld device on the DiamondTouch, the orientation of the application changes accordingly. A user can let another person see the application by rotating the handheld device in that person's direction. A user could conveniently use this system in a public area. In a business meeting, a user can easily show documents and presentations to other users around the DiamondTouch table. In an academic setting, a tutor could easily explain a concept to a student. A user could effortlessly do all of this while having all of his/her information on the handheld device. A wide range of applications could be used in these types of settings.

近年來因雲端運算(Cloud Computing)、智慧型行動載具(Smart handheld Device)等資訊與通訊技術的整合與匯流，再加上金融證券產業政策開放、國際化與自由化、證劵業在中國大陸發展的限制逐步鬆綁等諸多因素，原本各有自己領域的資訊服務廠商都開始磨拳擦掌，紛紛在手持式裝置上推出各種證券服務商品，這對過往在Ｂ２Ｃ領域獨佔鰲頭的E公司無異是最大的衝擊。 本研究將藉由探討E公司現行定位、分析因智慧型行動載具之演進，對金融資訊服務廠商所產生的市場改變、衝擊與競爭，進而找出新的市場商機、訂定新的市場定位與策略，期盼能為該公司發展再造藍海市場商機。 主要結論為：金融證券資訊服務產業已經是一紅海市場。為解決E公司面臨的產業困境，思考E公司未來發展走向，重新定位E公司的核心競爭力(Core Competence)，如何利用現有智慧型行動載具的特性化阻力為助力，在金融證券資訊服務產業這一片紅海中開闢新藍海。本研究將依據波特(Michael E. Porter)的五力分析及競爭論(On Competition)與洪順慶教授之新產品開發流程，提出新舊產品策略及商業模式(Business Model與Go-To-Market Model)的建議：  舊產品:運用該公司在證券資訊市場的領先地位，作業流程核心管理能力，通路優勢與客戶特性，為進入衰退期的既有產品(專業股票機)發展社群服務，增加老客戶黏著度，並搶食競爭對手市場，以延續該產品生命週期。  新產品:善用既有的雲端優勢及智慧型手持式裝置資通訊整合匯流與Web2.0的新技術，開發客製化(Tailor-Made)、主動揭露(Event Push、Calendar Push)，推出智慧的(Smart)、簡易的(Simple)、方便的(Convenience)的理財生活管家服務，開闢新藍海。 / During the past few years, the information service industry of the securities market has change hugely and the competition becomes more and more intensely, due to the opening and internationalization of the government industry policy and the rapid development of the ICT technology--includes cloud computing, evolution of mobile communication and smart handheld device, and ICT convergence…. Because of these changes, the information service vendors of the securities market have started penetrating their services into mobile device with low-price or price-free strategy. The impact to the E-Corp, the leading company with the B2C business model, is most fiercely. First, the study will analysize the change, impact and competition of the information service industry of the securities market, and will apply E-Corp as the case-study-company and probe the current positioning of E-Corp. Finally, the study will try to find out the new business opportunities for vendors, and will make suggestions on marketing repositioning and product development and business strategy to E-Corp. Exectuctive summary:The information service industry of securities market is a red ocean market. The study will utilzie the theories of Five-Force-Analysis (Michael E. Porter), Product Life Cycle (SC Horng, NCCU Taiwan), Core Competence (Gary Hamel & C.K. Parhalad), and will also think how to apply new technologies, such as cloud computing, smart handheld device, Web2.0,…to solve E-Corp dilemma and to help E-Corp to creat new blue ocean business and market. The suggestions are:  For current product: To extend the product life cycle. First, to apply the strength of the leading position in industry, channel strength and procedure management core competence to develop community network service to increase customers’ loyalty and to low down the rate of loss. Second, to seize the competitors’ customers.  For new product:Apply the strength of cloud computing the E-Corp has, and utilize ICT convergence and smart handheld devices, Web2.0 technologies to extend the service from securities to financial/wealth management service with the functional characters of event push/calendar driven, and smart/simple/convenience.