Embedded and Real-Time Java Systems

加入科學小冠軍的行列，開啟充滿樂趣的冒險之旅，一路學習科學知識！在這本書中，我們將探索人體系統的奇妙世界。你會看到什麼呢？錯亂的拼圖、牙刷和牙線對抗細菌、體育課上的一陣眩暈、對餅乾的熱愛導致腸胃不適、嘉年華力量測試中一位意想不到的獲勝者等等！「科學小冠軍」系列叢書運用生動有趣的漫畫故事，呈現新加坡小學最新科學課程大綱及相關內容。故事場景豐富多元，貼近現實生活。此外，書中也穿插了包含精彩事實和照片的專題文章，供讀者拓展學習。系列特色：科學概念與關鍵科學詞彙常見誤解拓展閱讀、貼近現實生活的專題文章主題心智圖趣味盎然的笑話Join the Science Champs on fun adventures, with lots of Science learning along the way!In this book, we will learn about the amazing world of human body systems. What awaits you? A messy jigsaw puzzle mix-up, a toothbrush and a roll of floss waging war on germs, a dizzy spell during PE lesson, a love for cookies that led to an upset tummy, an unusual winner at a carnival strength test and much more!The Science Champs series uses engaging comic stories to present concepts from the latest Singapore Primary Science syllabus, and beyond. The stories have been set in a variety of scenarios to showcase real-life relevance. As enrichment, feature articles containing amazing facts and photographs have been included.Series features:Scienc

「抵抗、解放的戰略化戰術就是：積極地發明影像！」―― 高重黎《物．像．書》是藝術家高重黎的首部書寫作品，以「可見性的政治經濟動力學」貫穿展開，探討攝影術自發明以來如何藉技術與殖民體系，擴大為全球的「可見性基建工程」與「影像原始積累」。書中集結高重黎近十餘年來的重要論述、訪談、創作筆記，並收錄代表作《幻燈簡報電影：秋刀魚的滋味》與《延遲的刺點：堤2》紙上版等系列與繪稿，全書逾兩百幀圖片，部分為首度公開，廣泛涵蓋影像與感知論題，以及對動畫、攝影、電影與生成式影圖等技術圖像歷史的關鍵分析。本書邀請讀者隨高重黎獨樹一幟的創作理路，對我們自身的視覺精神史進行一次基進考察，拆解影音階級與權力秩序的暴力構造，鑄造奪回感知主權的思想機具和實踐方法！Thing．Figure．Book is the debut written work by artist Kao Chung-Li. Centered on the "political-economic dynamics of visibility," the book interrogates how photography, since its inception, has expanded into a global "infrastructure of visibility" and "primitive accumulation of images" through technology and colonial systems. The book assembles Kao Chung-Li’s essential essays, an interview, and creative notes from the past decade. It also includes paper-based versions and sketches of his representative series, such as Slideshow Cinema: An Autumn Afternoon and Belated Punctum: La Jetée 2. Featuring over two hundred images―some published for the first time―the volume extensi

AI融合策略將成為新一波工業化浪潮，未來10 年產業重點！奇異首位首席創新顧問&全球研究影響力最強科學家四年來訪談全球工業巨擘，將AI 與機器學習等新技術與傳統經濟完美融合強鹿用36台攝影機與噴灑技術，以時速24公里精準除草，減少除草劑60%特斯拉採納用戶建議，1個月快速實現按喇叭自動儲存行車影像。勞斯萊斯透過70兆個數據點分析引擎運作，燃效提升1%節省300億美元燃油成本。我們正處於AI轉折點，未來你要向上提升價值，還是向下掉價？未來強者寶座，並非擁有高價值資產的公司，而是屬於懂得運用數據驅動洞察力的公司本書將告訴你，重資產的工業公司如何利用即時數據和人工智慧，創造新產品、新服務、新系統，以及──讓客戶永遠離不開你──的新解決方案？專文導讀‧政大科智所教授／商周CEO學院長 邱奕嘉什麼是「融合策略」？見第1章未來，企業將需要結合自身的優勢（製造實體產品）與數位企業的優勢（利用人工智慧解析龐大且彼此連結的產品使用數據），透過鋼鐵與晶片的融合，工業公司才能打造出過去難以想像的策略連結。什麼是「數據圖譜」？見第2章來自產品實際使用的即時數據。以系統性記錄，並運用人工智慧和機器學習驅動，進一步產生數據網路效應，一旦產品從使用者端收集越多資料時，產品就可以變得更加智慧。四大融合策略戰場融合產品（智慧機器之戰）：將工業產品數位化，並將效能提升至最高水準。見第5章融合服務（提供卓越成果之戰）： 透過提供服務提高客戶的生產力與業務績效，提供更多價值。見第6章融合系統（智慧系統之戰）：提升產品效能後，再改善多個相互關聯的產品組成的高階系統來提升整體效率。見第7章融合解決方案（客製化解決方案之案）：過去「我們製造」（Made by Us），轉變為我們解決」（Solved by Us）。見第8章融合未來已來，兩位全球重量級策略學大師維傑．高文達拉簡與文卡．文卡查曼要帶你看清當今商業世界正在如何迅速轉變，並最終引導你善用即時數據與人工智慧，打造專屬的「融合策略」，發掘全新價值，並創造新競爭優勢！本書特色1. 豐富企業實例：援引了許多知名企業的實務案例，像是強鹿、勞斯萊斯、特斯拉等，展現了不同產業如何依自身條件擬定融合策略。不只是傳統製造業，許多服務業、零售業甚至非數位原生企業，也都能以數據圖譜為基礎，重構價值鏈與商業模式。2.紮實理論研究：多年累積並大量採訪數位巨頭、新創公司和工

In 1992, while presenting at the World Futures Studies Federation course on International Development, I shifted my lecture from the typical rehearsed presentation on factors explaining maldevelopment to a real time unpacking/deconstruction of transportation futures. As I, we, worked through the analysis, alternatives organically emerged. The four levels were: first, the problem or the litany – congestion and pollution. Second the causes: too many cars and desire for more cars, rising incomes, traditional infrastructure that was not car flow friendly, among other factors. Third, the Big City outlook, westernization, and the "Los Angelization" of the planet. And fourth, West is best with cars as freedom, as individuality. We understood that the government would take a technical approach of creating flyovers and not the deeper required to rethink centre-periphery relations – to decentralize - to reimagine Bangkok as a walkable and green city. This led to a discussion on not just in

Embedded systems exposed!From operating our cars, to controlling the elevators we ride, to doing our laundry or cooking our dinner, the special computers we call embedded systems are quietly and unobt