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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

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DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」 「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registrationdoi.airiti.com ) 。

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Times Cited : (2)

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What is "Preprint"?

In order to provide readers the forefront academic information, after articles are accepted to publish in the journal, we publish them in network before they're printed. Those "on-line first articles" are called the "preprint articles". The preprint articles do not have volume No., page No., publication date, but can be identified by the DOI number. 「 http://dx.doi.org/ 」 Link to the latest version of the article.

How to cite Preprint Articles?

Please use the online publication date and the DOI number of the preprint article to cite the literature.

Cited example (may vary with different formats you cited):

Author name. Article name. Journal name. YYYY/MM/DD online publish in advance.

doi:DOI Number

Publisher

National Taiwan University

Taiwan

國立臺灣大學 Publishing 』

台大_NTU
2022年
Total8Pages
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1

一個利用重複使用的延遲線達到省面積的基於倍數式延遲鎖定迴路的頻率合成器

張唯靖

頻率合成器延遲鎖定迴路環形電壓控制延遲線frequency synthesizerdelay-locked loopring-type voltage control delay line

10.6342/NTU202200610 DOI

Abstract | Reference(17) Search for full text in Holdings Search for full text in Holdings Unauthorized Unauthorized Track Track

2

以微米孔洞結構進行電化學生物分子感測元件之研發

林銘文

電化學生物感測器微米孔洞生物分子electrochemistrybiosensormicrocavitybiomolecule

10.6342/NTU202201944 DOI

Article delay authorization/print view service Full-Text will be available on 2024/08/01

Abstract | Reference(41) Search for full text in Holdings Search for full text in Holdings Track Track

3

56-Gb/s 不歸零碼接收器

蔡仲耘

可變增益放大器連續時間等化器決策反饋等化器波特率相位偵測器相位內插器全數位式時脈資料恢復器variable gain amplifierlow frequency equalizercontinuous time linear equalizerdecision feedback equalizerbaud rate phase detectorall digital clock and data recovery

10.6342/NTU202200611 DOI

Abstract | Reference(16) Search for full text in Holdings Search for full text in Holdings Unauthorized Unauthorized Track Track

4

一個應用於穿戴式裝置改善模式切換電壓漣波之三種模式非反向四開關升降壓直流轉換器

彭寶賢

電感式直流電壓轉換器升降壓直流電壓轉換器低輸出電壓連波模式轉換優化Inductive Switching DC-DC ConverterNon-Inverting Buck-Boost ConverterLow Output Voltage RipplesMode Transitions Optimization

10.6342/NTU202200613 DOI

Abstract | Reference(28) Search for full text in Holdings Search for full text in Holdings Unauthorized Unauthorized Track Track

5

使用電感電流感測技術漣波式固定導通時間控制直流對直流降壓轉換器

王聖尤

漣波式固定導通時間控制直流對直流轉換器電流感測電源管理積體電路ripple-based constant-on time controldc-dc buck convertercurrent sensingpower management integrated circuit (PMIC)

10.6342/NTU202200742 DOI

Abstract | Reference(14) Search for full text in Holdings Search for full text in Holdings Unauthorized Unauthorized Track Track

6

邊緣採樣次鮑率之16-Gb/s數位時脈資料還原電路

黃文祈

次鮑率時脈資料還原器相位偵測器抖動容忍度sub-baud-rateclock and data recoveryphase detectorjitter tolerance

10.6342/NTU202200744 DOI

Abstract | Reference(22) Search for full text in Holdings Search for full text in Holdings Unauthorized Unauthorized Track Track

7

用於多相機追蹤系統之高效與精確的行人重識別技術研究

劉致廷

多目標多相機追蹤系統行人重識別自注意力機制濾波器剪枝聯邦學習Multi-Target Multi-Camera TrackingPerson Re-identificationSelf-attention MechanismFilter PruningFederated Learning

10.6342/NTU202202005 DOI

Abstract | Reference(229) Download Download PDF Add to Cart Add to Cart Track Track

8

一個一百六十億位元每秒的線性等化器與具自適應時間0.3微秒的決策回授等化器

詹銘軒

連續時間線性等化器決策回授等化器符號-符號最小均方演算法Continuous-Time Linear EqualizerDecision-Feedback EqualizerSign-Sign Least-Mean-Square

10.6342/NTU202202058 DOI

Abstract | Reference(14) Search for full text in Holdings Search for full text in Holdings Unauthorized Unauthorized Track Track

9

應用於32-Gb/s不歸零碼接收器與112-Gb/s四階脈衝振幅調變接收器之電路設計

連浩天

基於反向器設計之連續時間等化器基於反向器設計之可編程增益放大器決斷反饋等化器前饋式等化器相位內插器數位時脈資料回復電路鎖相迴路Inverter-based continuous time linear equalizerInverter-based programmable gain amplifierDecision feedback equalizerFeedforward equalizerPhase interpolatorDigital CDRPhase locked loop

10.6342/NTU202203128 DOI

Abstract | Reference(19) Search for full text in Holdings Search for full text in Holdings Unauthorized Unauthorized Track Track

10

基於機器學習與深度學習之 FDG-PET 腦造影分類模型基於重度憂鬱症之診斷

陳民嶧

重度憂鬱症機器學習深度學習正子造影捲機神經網路Major Depressive disorderMachine LearningDeep LearningPETCNN

10.6342/NTU202201289 DOI

Abstract | Reference(57) Download Download PDF Add to Cart Add to Cart Track Track

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2022年
Total 8 Pages

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