Vessel tracking的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

Vessel tracking的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦Kaiser, Mark J寫的 Offshore Service Industry and Logistics Modeling in the Gulf of Mexico 和Do, Khac Duc/ Pan, Jie的 Control of Ships and Underwater Vehicles: Design for Underactuated and Nonlinear Marine Systems都 可以從中找到所需的評價。

另外網站Check Vessel Schedule - PICT也說明:Vessel Name Voyage Agent VIR No. Phase Service INDEPENDENT SPIRIT 048W WHL KAPE‑0090‑01032023 DEPARTED Pakistan Saudi... WAN HAI 627 004E WHL KAPE‑0091‑01032023 DEPARTED Pakistan Mund... CLEMENS SCHULTE 020E ONE KAPE‑0093‑02032023 DEPARTED Thailand India...

這兩本書分別來自 和所出版 。

逢甲大學 智慧城市碩士學位學程 周天穎所指導 費司博的 Raspberry Pi和Ubuntu x86 PC系統之物件偵測 (2021),提出Vessel tracking關鍵因素是什麼,來自於OpenVINO、樹梅派、單板電腦、神經網絡、人工智慧。

而第二篇論文國立臺灣大學 生醫電子與資訊學研究所 莊曜宇所指導 曾昱衡的 基於人工智能的 ECG 演算法用於預測及定位經血管造影證實的冠狀動脈疾病 (2021),提出因為有 冠狀動脈疾病、人工智慧、深度學習、心電圖、圖形化使用者介面工具的重點而找出了 Vessel tracking的解答。

最後網站HMM - Hyundai Merchant Marine則補充:HMM and NYK Bulk & Projects Collaborates Serv... Schedules; BK/BL; VGM; My Shipment. Port-to-Port; Vessel Schedule; by Calling Port ...

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Vessel tracking,大家也想知道這些:

Offshore Service Industry and Logistics Modeling in the Gulf of Mexico

為了解決Vessel tracking的問題,作者Kaiser, Mark J 這樣論述:

The purpose of this book is to examine the geospatial and temporal linkage between offshore supply vessels and oil and gas activity in the Outer Continental Shelf Gulf of Mexico, and to model OSV activity expected to result from future lease sales. Oil and gas operations occur throughout the world w

herever commercial accumulations exist, but no quantitative assessment has ever been performed on the marine vessels that support offshore activity. The OCS Gulf of Mexico is the largest and most prolific offshore oil and gas basin in the world, and a large number of marine vessels are engaged in op

erations in the region, but tracking their activity is difficult and requires specialized data sources and the development of empirical models. The challenge of modeling arises from the complexity and size of the system, and the particular limitations governing stochastic difficult-to-observe networ

ks. This book bridges the gap with the latest technological perspective and provides insight and computational methods to inform and better understand the offshore sector.Offshore Service Industry and Logistics Modeling in the Gulf of Mexico is presented in three parts. In Part 1, background informa

tion on the life cycle stages of offshore development and activity is reviewed, along with a description of the service vessels and port infrastructure in the region. In Part 2, OSV activity in the Gulf of Mexico is baselined using PortVision data to establish spatial and temporal characteristics of

vessel activity. In Part 3, the analytic framework used to quantify the connection between OSVs, ports, and offshore activity is described, and activity expected to arise from the 2012-2017 OCS lease program is forecast.Providing an invaluable resource for academics and researchers, this book is al

so intended for government regulators, energy and environmental analysts, industry professionals, and others interested in this often-overlooked sector. Mark J. Kaiser is a professor and director of the Research & Development Division at the Center for Energy Studies, Louisiana State University. H

is primary research interest covers the oil, gas, and refining industry and is related to cost assessment, fiscal system analysis, economic and infrastructure modeling, and valuation studies. He is widely published with work appearing across a broad spectrum of energy, engineering, mathematics, scie

ntific and policy journals.Dr. Kaiser received his doctorate in Industrial Engineering and Operations Research from Purdue University and has consulted and served as technical advisor to corporations and government agencies.

Raspberry Pi和Ubuntu x86 PC系統之物件偵測

為了解決Vessel tracking的問題,作者費司博 這樣論述:

本研究目標為建立一個應用英特爾OpenVINO套件於物件偵測的基準環境,評估並比較樹莓派及桌面電腦的差別。第二個目標則為研究並實做目前較新且主流的影像分類、物件偵測演算法及其效能。人工智慧及神經網路已經廣泛的使用於物件偵測應用上。個人電腦擁有足夠效能進行分析,但電源消耗仍然較高且缺乏足夠的機動性。此外,目前(2022)面臨全球晶片短缺問題亦推升個人電腦的價格,使用邊緣裝置如Intel Neural Stick 2則可以較低的成本加速分析效率。本研究將針對ARM架構的單板電腦進行物件偵測的效能分析,並與x86的桌面個人電腦進行比較。

Control of Ships and Underwater Vehicles: Design for Underactuated and Nonlinear Marine Systems

為了解決Vessel tracking的問題,作者Do, Khac Duc/ Pan, Jie 這樣論述:

Most ocean vessels are underactuated but control of their motion in the real ocean environment is essential. Control of Ships and Underwater Vehicles concentrates on the control of underactuated ocean vessels both surface and submarine. Having more degrees of freedom to be controlled than the num

ber of independent control inputs these vessels give rise to numerous challenges within the area of applied nonlinear control which are of growing concern because of their prevalence.Starting with a review of the necessary background on ocean-vessel dynamics and nonlinear control theory, the authors

’ systematic approach is based on various nontrivial coordinate transformations coupled with advanced nonlinear control design methods building on Lyapunov’s direct method, backstepping, and parameter projection techniques. This strategy is then used for the development and analysis of a number of o

cean-vessel control systems with the aim of achieving advanced motion control tasks including stabilization, trajectory-tracking, path-tracking and path-following.Control of Ships and Underwater Vehicles offers the reader: - new results in the nonlinear control of underactuated ocean vessels that co

unter environmental disturbances induced by wind, waves and ocean currents;- efficient designs for the practical implementation of controllers on underactuated ocean vessels;- extensive numerical simulations and real-time implementations of the control systems designed on a scale-model ship for each

controller developed to illustrate their effectiveness and afford practical guidance; and- general methods and strategies for solving nonlinear control problems of other underactuated systems including underactuated land and aerial vehicles.Written for researchers in and practitioners of control en

gineering applied to marine technology this monograph provides a variety of solutions to advanced feedback control topics of practical significance in underactuated ocean vessels. Its self-contained, from-the-basics style also makes it a useful resource for graduate students in marine control and re

aders interested in learning through self-study.

基於人工智能的 ECG 演算法用於預測及定位經血管造影證實的冠狀動脈疾病

為了解決Vessel tracking的問題,作者曾昱衡 這樣論述:

冠狀動脈疾病(coronary artery disease, CAD)是由供應心臟肌肉血液的血管 阻塞引起的一種心血管疾病(cardiovascular disease, CVD)。據世界衛生組織 (World Health Organization, WHO)統計,心血管疾病是全球排名第一的死因, 心血管疾病的主要死因之一就是冠狀動脈阻塞引起的急性心肌梗塞(acute myocardial infarction, AMI)。標準 12 導聯心電圖 (electrocardiography, ECG) 是最廣泛使用的心血管疾病檢 測方法之一,因為其便宜、非侵入性且快速,使其成為心臟內科初始

檢查的標準。 此後,醫生會根據這些數據對患者進行適當的治療或更深入的檢查。以冠狀動脈 疾病診斷為例,要診斷和定位冠狀動脈疾病,必須先通過 12 導聯心電圖檢查,再 通過冠狀動脈造影進行確認。冠狀動脈造影又稱心導管手術,是一種侵入性且具 有風險的檢測方式。其他造影方式,如核醫心肌灌注掃描、單光子電腦斷層掃描、 心臟核磁振造影以及冠狀動脈電腦斷層造影,則是需要專門的醫療儀器才能進行, 成本相對高昂,且有輻射暴露的風險。根據相關研究指出,受過專業訓練的醫師以上述造影方式檢測冠狀動脈疾病 的敏感性以及特異性大約落在 70~95%之間。因此可得知有部分非冠狀動脈疾病 患者需要承擔額外的侵入性檢查風險。而

且,在冠狀動脈造影時,由於缺乏阻塞 位置的資訊醫生必須檢查所有冠狀動脈才能確定阻塞位置,此過程將不可避免地 提升風險。為了解決以上的問題,我們提出了一種基於深度學習模型的基於人工智慧的 心電圖算法,用於預測和定位經血管造影證實的冠狀動脈疾病。我們還構建了一 個用於數據預處理的圖形化使用者界面 (graphical user interface, GUI) 工具。此工 具可以將病人的 ECG 報告轉換為一維時間序列形式或二維圖像形式。藉此醫院的 ECG 報告就可以轉化為人工智能計算的數據,並為醫院發展人工智能技術提供一 個重要的利器。