隨著智慧家庭技術及物聯網的裝置大幅度地成長，智慧家庭的網路流量亦隨之升高。當大量成長的智慧家庭流量造成網路壅塞時，可能使緊急服務的警告機制失效，或是造成某些應用服務品質低劣而不堪使用。這些問題恐阻礙智慧家庭未來的發展性。 為改善上述問題，本文提出創新的物聯網智慧家庭頻寬配置管理架構。以ISP業者管理數以千計的物聯網智慧家庭為情境，針對智慧家庭多樣化的應用服務，利用具前瞻性的軟體定義網路，提供ISP業者對智慧家庭外部網路頻寬做最佳化的配置。 本研究依改良後的3GPP LTE QoS Class Identifier (QCI)，分類智慧家庭的服務，並考量服務的優先權及延遲程度，提出BASH演算法。透過本研究，ISP業者能依定義好的服務類別，將匯集後的智慧家庭服務流量藉由配置訊務流(traffic flow)的權重，計算出不同服務的最佳頻寬分配量，達到提升QoS及使用者QoE的目的。 為確認本論文所提出之方法的有效性，實驗設計是利用Linux伺服器架設OpenvSwitch、Ryu控制器及Mininet模擬器，建構SDN網路環境。實驗結果顯示，本研究所提出的BASH與ISP所用的傳統頻寬分配方法相比，能有效提高30%的throughput，降低159%的delay time及967%的 jitter time。 / With the increasing number of IoT (Internet of Things) devices and advance of smart home technology, the network traffic of smart home is also raising rapidly. When network congestion occurs due to massive traffic, some emergent alert mechanisms might become invalid or cause some application services performance degraded. All kinds of these will dramatically hamper the future development of smart homes. In order to resolve these problems, we propose an innovative bandwidth allocation smart home management framework for IoT enabled smart homes. The application scope of this research assumes a scenario that an ISP (Internet Service Provider) should support thousands of IoT enabled smart homes for a variety of services. The proposed bandwidth allocation framework is based on the promising software defined networking (SDN) architecture and is responsible for optimizing bandwidth allocation on external Internet traffic. We modify the 3GPP LTE QoS Class Identifier (QCI) to adaptive to the services suitable for smart homes. The proposed bandwidth allocation smart home (BASH) algorithm considers service priority and delay at the same time. With this framework, ISP is able to optimize bandwidth allocation by aggregating thousands of classified services of smart homes and thus effectively enhance Quality of Service (QoS) and user experience (QoE). In order to verify the proposed methods, we implement a SDN environment by using Linux Ubuntu servers with Mininet, Open vSwitch and Ryu controller. The experiment results show that BASH outperforms ISP traditional method in increasing the throughput by 30%, reducing delay and jitter by 159% and 967%, respectively.

「台灣的代工製造產業應該如何發展」的問題，是困擾PC產業的管理難題，特別是在公司面臨產品成熟、訂單驟減、毛利下滑的時刻。所有台灣的代工製造產業亟思轉型的方法和方向，但是轉型到的新的產品市場或產品也是非常複雜、動態、多重因素多相互依存及影響。屬於複雜難解的問題(Wicked Problem)、問題本身都還需要定義及釐清。本論文將列出想解決的議題並定義為服務設計的議題。 因此本研究的服務設計議題(Service Design Challenge)可定義如下:「以服務設計思維建構專業代工緯創的未來」。本論文經由訪談傳統PC產業的品牌公司、IC供應商、作業系統公司和工業PC的公司，研究過程藉由運用服務設計(Service Design)手法並發掘洞見(Insights)與價值，據此將真正符合客戶需求，在找出表面及深層需求後、設計新的服務模式，得到其反饋之後再修正設計；接著結合最新科技趨勢，例如：物聯網、工業4.0、感測器和機器手臂，以提供客戶安心的代工服務；最後希望藉由改變運營模式，達到緯創成功轉型的目標。 雖然新的科技尚未成熟，只要方向正確，這些模式或能力成熟後，可以快速讓公司保持彈性，能充分利用的資源，進行個別化差異設計。 / “How to develop the ODM (Original Design Manufacturer) industry in Taiwan” is plagued by PC industry management problems, especially for those companies facing product maturity, orders plummeted and the decline in gross margin. The ODM in Taiwan is trying to change the way and direction, but the transition to the new product market or product is very complex, dynamic and involves multiple inter-dependent factors. It is a complex problem (Wicked Problem), and the problem itself also needs to be defined and clarified. The aim of this thesis is to address and define the issues through the lens of service design. Therefore, our Service Design Challenge Problems can be defined as: “The Future of Wistron through the Service Design Lens". This thesis, through interviews with traditional PC industry brand companies, IC suppliers, operating systems companies and industrial PC companies, adopts the research process of the service design approach and explores the insights and value, which will truly meet Customer needs, identify the surface and deep demand, attain the design of new service model, and integrate the latest technology trends, such as Internet of things, industry 4.0, the sensor and the robot arm, in order to provide customers with reliable and assured ODM services. Our final hope is to change the operating mode and achieve a successful Enterprise Transformation of Wistron. Although the new technology is not yet mature, as long as the direction is correct in light of these models or abilities to mature, the company can remain flexible, make full use of resources, and create individualized design differences.

隨著物聯網這個萬物連網的概念順勢推動智慧家庭在市場裡蓬勃發展，可預期未來ISP(Internet Service Provider)業者勢必面臨大量智慧家庭中各種不同應用服務互相競爭頻寬資源的情況，甚至遇到網路滿載壅塞時造成應用服務不堪使用的情形。 為改善上述問題，本文以ISP業者管理智慧家庭中眾多的物聯網設備為情境，透過軟體定義網路 (Software Defined Network，SDN)進行頻寬排程配置，排程演算法以可兼顧公平性(fairness)、時間延遲(delay)及應用服務優先權(service priority)的A-MLWDF (Adaptive Modified Largest Weighted Delay First) [7]演算法，確保優先配置頻寬給智慧家庭中優先權較高、時效較為急迫的流量，以降低應用服務的延遲來提升智慧家庭網路之服務品質(Quality of Service，QoS)。 本研究透過OMNet++模擬器建構SDN環境與傳統環境中有眾多物聯網設備之智慧家庭。家中物聯網設備包含M2M (Machine to Machine)和非M2M(non Machine to Machine)裝置，以提供各種智慧家庭應用服務。我們透過SDN架構進行頻寬配置，達到集中式管控家中的頻寬資源，其中排程演算法包括PF、MLWDF、A-MLWDF。實驗結果顯示，以上排程演算法雖然於SDN環境下在公平性與抖動率表現並不顯著，公平性約改善1.6%及抖動率約降低1%左右，但在產能與延遲方面表現較為顯著，能有效提高產能約52%，及降低延遲約 52%。 / With the concept of IoT (Internet of Things) spread rapidly, it is the opportunity to promote smart homes in the expanding market. We can see that the future ISP (Internet Service Provider) has to face a large number of smart homes having bandwidth competition in a variety of different applications and causing application services unavailable due to network congestion.     In order to resolve the above problems, we propose that each ISP (Internet Service Provider) has to manage a large number of IoT devices in a smart home to performs bandwidth scheduling through Software Defined Network (SDN). We choose to use A-MLWDF scheduling algorithm (Adaptive Modified Largest Weighted Delay First) [7] which considers fairness, delay and service priority. A-MLWDF is able to ensure services of higher priority and emergent traffic be allocated bandwidth earlier and greatly reduce delay and thus effectively enhance Quality of Service (QoS) of smart homes.     In this research, we implement a SDN environment by using OMNet++ to simulate the bandwidth competition among smart homes with IoT devices. The IoT devices consists of M2M (Machine to Machine) and non-M2M (non Machine to Machine) devices which offer a variety of intelligent home application services. We configure the bandwidth allocation under SDN control. The scheduling algorithms include PF, MLWDF and A-MLWDF. When the network traffic is congested, SDN can significantly increase throughput and reduce latency compared to traditional network management. The experimental results show that above scheduling algorithms using SDN environment having no significant performance improvements in fairness and jitter. The fairness increases around 1.6% and the jitter reduces around 1%. However, it shows significant improvement on throughout and delay. The throughput increases around 52% and the delay reduces around 52%.

近年來以物聯網為概念的相關應用已經成為最熱門的議題之一，各國家與企業皆致力於發展其技術以及相關應用。而物聯網的應用範圍十分廣泛，舉凡交通、醫療、電力、物流、家居等都是其應用的範圍。亞洲國家於近十年來也紛紛提出相關發展計畫，由此可看出各國對發展物聯網產品之野心與競爭。而台灣政府於2008年開始積極推展智慧家庭政策，端看目前成果，以技術層面而言並非無法達成，但在實際應用與推廣上明顯仍有許多不足之處。因此本研究欲探討使用者對於物聯網相關應用產品的使用動機為何，以智慧家庭為例，先進行相關文獻探討，並以修正式德菲法做為發展ANP專家問卷的基礎，再利用ANP法施行專家問卷，排序出影響消費者使用動機的各項權重，選擇出最符合消費者需求的產品組合，讓開發者能了解在開發與推展智慧家庭相關應用時，應滿足消費者哪些心理層面之動機因素，提升未來發展相關產品時的成功機率。 / In recent years, applications related to the concept of IoT become one of the most popular issues all over the world. Countries and enterprises devote themselves to developing the technique and application related to IoT. The range of its applications is very wide, including transportation, medical treatment, electricity, logistics, and home, etc. Asian countries set forth some development projects in the past decade, demonstrating the ambition and competition between countries in developing IoT products. Taiwan has started to push the development of smart home related applications since 2008. After development for some years, insufficiency in actual implementation and diffusion remains given our technological advantage. Therefore, this research intends to study the motivation for users to use IoT products taking smart home as an example. First, we study the related literature review and use modified Delphi method to develop the ANP expert questionnaires. Then, we prioritize the weights of consumer’s motives. The result can enable developers of smart home products to understand what kind of consumer motives they should satisfy when developing and promoting smart home applications. This enhances the probability of success for developing related products in the future.

我國於2015年底通過新修正之個人資料保護法（以下簡稱「個資法」），將病歷納入特種個人資料中保護。目前個資法第六條特種個人資料列舉包含病歷、醫療、基因、性生活、健康檢查及犯罪前科之個人資料。雖然該條文係取法自國際賦予敏感性個人資料特別保護的模式，惟在個人相關健康資料保護部分，我國個資法不若歐盟一般資料保護規則（EU General Data Protection Regulation, GDPR）保護寬廣，納入資料之類型仍較國際立法例狹窄。尤其此次GDPR修法擴大特種個人資料空間，增列基因資料、生物性資料和性傾向，檢視我國特種個人資料列舉類型是否符合現今科技社會需求有其必要性。 過去研究針對健康資料個資法適用問題較少。大數據資料來源來自各處，以一般健康保健物聯網模式為例，自行操作之檢查數據或穿戴式裝置所蒐集之資料，若非須由醫師或其他之醫事人員施以檢查，而可由一般民眾自行測量之行為，該民眾自行測量之結果應不屬於個資法所謂之病歷、醫療或健康檢查個人資料，即非為特種個人資料。 惟大數據分析技術進步之環境下，健康資料亦攸關資料主體生理健康之敏感性，且容易連結並識別個人，考量健康資料敏感性提升，蒐集、處理、利用健康資料易侵犯到個人隱私，因此有加強保護之需求。將來可刪除個資法第六條第一項各種個人資料例示之「醫療」、「病歷」與「健康」資料，並新增「健康」或「與健康相關」之列舉項目。 但解釋「與健康相關」資料之內涵時不能無限上綱，在適用時應考量情境說，依據不同使用情境判斷是否為係作為特種個人資料利用，以排除一般性描述健康的使用情境。 / The change to the regulation of special categories of data (sensitive data) in the Taiwan Personal Information Protection Act (PIPA) in 2015 comes with the inclusion of medical records. The definition of sensitive data in the PIPA Article 6(1) refers to personal information of medical records, medical treatment, genetic information, sexual life, health examination and criminal records. However, the list of sensitive data in PIPA do not contain categories as broad as foreign legislation such as EU General Data Protection Regulation (GDPR). It is important to review the continuing relevance of existing categories of sensitive data in the light of change in social structures and advances in technology. Differ from “medical data” such as medical records, medical treatment and health examination, the collection, process and use of “health data” which is measured from wearable device, is not included in the sensitive data. Concerning the development of big data analysis, the “health data” which sensitivity enhanced is easy to identify an individual. It needs to give a higher level of protection to “health data” under PIPA. Therefore, this thesis suggests that medical records, medical treatment and health examination in PIPA Article 6(1) should be consolidated and amended to health records or data concerning health. However, this is not to say that the processing of all kinds of medical and health data should be regarded as the processing of sensitive data. But data, under certain contexts/circumstances may be treated as the processing of sensitive data.