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Dissertations / Theses on the topic 'Detector logic network'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Ahmed, Abdulbasit. "Online network intrusion detection system using temporal logic and stream data processing." Thesis, University of Liverpool, 2013. http://livrepository.liverpool.ac.uk/12153/.

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These days, the world is becoming more interconnected, and the Internet has dominated the ways to communicate or to do business. Network security measures must be taken to protect the organization environment. Among these security measures are the intrusion detection systems. These systems aim to detect the actions that attempt to compromise the confidentiality, availability, and integrity of a resource by monitoring the events occurring in computer systems and/or networks. The increasing amounts of data that are transmitted at higher and higher speed networks created a challenging problem for

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2

Wong, Alfred Ka Yiu Computer Science &amp Engineering Faculty of Engineering UNSW. "Ontology mapping: a logic-based approach with applications in selected domains." Publisher:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41103.

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In advent of the Semantic Web and recent standardization efforts, Ontology has quickly become a popular and core semantic technology. Ontology is seen as a solution provider to knowledge based systems. It facilitates tasks such as knowledge sharing, reuse and intelligent processing by computer agents. A key problem addressed by Ontology is the semantic interoperability problem. Interoperability in general is a common problem in different domain applications and semantic interoperability is the hardest and an ongoing research problem. It is required for systems to exchange knowledge and having

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3

Hessel, Günther, Frank-Peter Weiß, and Wilfried Schmitt. "Acoustic Leak Detection at Complicated Geometrical Structures Using Fuzzy Logic and Neural Networks." Forschungszentrum Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:d120-qucosa-32699.

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Methods of acoustic leak monitoring are of great practical interest for the safety of pressure vessels and pipe lines not only at the primary circuit of nuclear power plants. In this report some aspects of acoustic leak localization at complicated three-dimensional topologies for the case of leakage monitoring at the reactor vessel head of a VVER-440 are discussed. An acoustic method based on pattern recognition is being developed. During the learning phase, the localization classifier is trained with sound patterns that are generated with simulated leaks at all locations endangered by leak.

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4

Hessel, Günther, Frank-Peter Weiß, and Wilfried Schmitt. "Acoustic Leak Detection at Complicated Geometrical Structures Using Fuzzy Logic and Neural Networks." Forschungszentrum Rossendorf, 1993. https://hzdr.qucosa.de/id/qucosa%3A22096.

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Methods of acoustic leak monitoring are of great practical interest for the safety of pressure vessels and pipe lines not only at the primary circuit of nuclear power plants. In this report some aspects of acoustic leak localization at complicated three-dimensional topologies for the case of leakage monitoring at the reactor vessel head of a VVER-440 are discussed. An acoustic method based on pattern recognition is being developed. During the learning phase, the localization classifier is trained with sound patterns that are generated with simulated leaks at all locations endangered by leak.

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5

Hassanzadeh, Reza. "Anomaly detection in online social networks : using data-mining techniques and fuzzy logic." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/78679/1/Reza_Hassanzadeh_Thesis.pdf.

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This research is a step forward in improving the accuracy of detecting anomaly in a data graph representing connectivity between people in an online social network. The proposed hybrid methods are based on fuzzy machine learning techniques utilising different types of structural input features. The methods are presented within a multi-layered framework which provides the full requirements needed for finding anomalies in data graphs generated from online social networks, including data modelling and analysis, labelling, and evaluation.

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6

Neville, Stephen William. "Approaches for early fault detection in large-scale engineering plants." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0003/NQ34278.pdf.

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7

Lam, Chi-kan. "Detection of air leaks using pattern recognition techniques and neurofuzzy networks /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21981826.

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8

林智勤 and Chi-kan Lam. "Detection of air leaks using pattern recognition techniques and neurofuzzy networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222833.

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9

Silva, Henrique Ventura da. "Utilização de logica nebulosa na detecção de vazamentos em dutos." [s.n.], 2003. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263644.

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Orientadores: Celso Kazuyuki Morooka, Ivan Rizzo Guilherme<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica, Instituto de Geociencias<br>Made available in DSpace on 2018-08-03T22:11:53Z (GMT). No. of bitstreams: 1 Silva_HenriqueVenturada_M.pdf: 6776642 bytes, checksum: 0f63d0ee9cc11e83387d78ccd3d5500c (MD5) Previous issue date: 2003<br>Resumo: O meio mais eficiente e econômico para transportar derivados de petróleo são os dutos. Porém, o controle dos riscos associados a um vazamento acidental é fundamental. Esta questão tem motivado o desenvolvi

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10

Liu, Bin. "Channel aware distributed detection in wireless sensor networks." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2006. http://proquest.umi.com/login?COPT=REJTPTU0NWQmSU5UPTAmVkVSPTI=&clientId=3739.

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11

Darabi, Akbar. "Detection and estimation of defect depth in infrared thermography using artificial neural networks and fuzzy logic." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/NQ55806.pdf.

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12

Rehman, Atti Ur, and Muhammad Asif. "Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks : Comparative Analysis." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3365.

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Spectrum sensing is an important aspect of cognitive radio systems. In order to efficiently utilize the spectrum, the role of spectrum sensing is essential in cognitive radio networks. The transmitter detection based techniques: energy detection, cyclostationary feature detection, and matched filter detection, is most commonly used for the spectrum sensing. The Energy detection technique is implemented in the 2-hop cooperative cognitive radio network in which Orthogonal Space Time Block Coding (OSTBC) is applied with the Decode and Forward (DF) protocol at the cognitive relays. The Energy dete

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13

Botha, Martin. "NeGPAIM : a model for the proactive detection of information security intrusions, utilizing fuzzy logic and neural network techniques." Thesis, Port Elizabeth Technikon, 2003. http://hdl.handle.net/10948/142.

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“Information is the lifeblood of any organisation and everything an organisation does involves using information in some way” (Peppard, 1993, p.5). Therefore, it can be argued that information is an organisation’s most precious asset and as with all other assets, like equipment, money, personnel, and so on, this asset needs to be protected properly at all times (Whitman & Mattord, 2003, pp.1-14). The introduction of modern technologies, such as e-commerce, will not only increase the value of information, but will also increase security requirements of those organizations that are intending to

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14

Weerasinghe, Manori. "Fault detection and diagnosis for complex multivariable processes using neural networks." Thesis, Liverpool John Moores University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298141.

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15

Aull, Mark J. "Comparison of Fault Detection Strategies on a Low Bypass Turbofan Engine Model." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321368833.

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16

Li, Zhi. "Fuzzy logic based robust control of queue management and optimal treatment of traffic over TCP/IP networks." University of Southern Queensland, Faculty of Sciences, 2005. http://eprints.usq.edu.au/archive/00001461/.

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Improving network performance in terms of efficiency, fairness in the bandwidth, and system stability has been a research issue for decades. Current Internet traffic control maintains sophistication in end TCPs but simplicity in routers. In each router, incoming packets queue up in a buffer for transmission until the buffer is full, and then the packets are dropped. This router queue management strategy is referred to as Drop Tail. End TCPs eventually detect packet losses and slow down their sending rates to ease congestion in the network. This way, the aggregate sending rate converges to the

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17

Judd, John David. "Stream splitting in support of intrusion detection." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FJudd.pdf.

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18

Jiang, Xiaomo. "Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1110266591.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 221 p.; also includes graphics (some col.). Includes bibliographical references (p. 210-221). Available online via OhioLINK's ETD Center

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19

Tailhardat, Lionel. "Anomaly detection using knowledge graphs and synergistic reasoning : application to network management and cyber security." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS293.

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La gestion des incidents sur les réseaux informatiques et télécoms, qu'il s'agisse de problèmes d'infrastructure ou de cybersécurité, nécessite la capacité de traiter et d'interpréter simultanément et rapidement un grand nombre de sources d'information techniques hétérogènes en matière de format et de sémantique. Dans cette thèse, nous étudions l'intérêt de structurer ces données dans un graphe de connaissances, et étudions en quoi cette structure permet de maîtriser la complexité des réseaux, notamment pour des applications en détection d'anomalies sur des réseaux dynamiques et de grande tail

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20

Raju, Madhanmohan. "Group based fault-tolerant physical intrusion detection system using fuzzy based distributed RSSI processing." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1393237072.

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21

Tan, Arie Hadipriono. "The Integration of Fuzzy Fault Trees and Artificial Neural Networks to Enhance Satellite Imagery for Detection and Assessment of Harmful Algal Blooms." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574773012023708.

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22

Julien, Laureline. "Microvascular network of the retina : 1D model, microfluidic device and high resolutional data for the detection of vascular anomalies." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS719.pdf.

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Cette thèse porte sur la modélisation du réseau microvasculaire de la rétine dans le but d’étudier les processus circulatoire en jeu dans la rétine saine et en présence de rétinopathies, en faisant le pont entre modélisation numérique, expérimentales, et données cliniques. Le réseau rétinien présente l'avantage unique d'être le seul réseau microvasculaire accessible de manière non invasive pour l'étude in-vivo du corps humain. Nous vivons de grandes avancées techniques dans le domaine de l'imagerie rétinienne avec un accroissement de la précision des images de la morphométrie et du flux sangui

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23

Arunachalam, Sivakumar. "A new approach to arc fault detection for AC and DC systems." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2005. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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24

Tackx, Raphaël. "Analyse de la structure communautaire des réseaux bipartis." Electronic Thesis or Diss., Sorbonne université, 2018. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2018SORUS550.pdf.

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Il existe dans le monde réel un nombre important de réseaux qui apparaissent naturellement, on les retrouve un peu partout, dans de nombreuses disciplines, par exemple en informatique avec les réseaux de routeurs, les réseaux de satellites, les réseaux de pages Web, en biologie avec les réseaux des neurones, en écologie avec les réseaux d’interactions biologiques, en linguistiques avec les réseaux de synonymes, en droit avec les réseaux de décisions juridiques, en économie avec les réseaux interbancaires, en sciences humaines avec les réseaux sociaux. De manière générale, un réseau reflète les

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25

Sathyan, Anoop. "Intelligent Machine Learning Approaches for Aerospace Applications." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1491558309625214.

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26

Abdel-Jaber, Hussein F. "Performance Modelling and Evaluation of Active Queue Management Techniques in Communication Networks. The development and performance evaluation of some new active queue management methods for internet congestion control based on fuzzy logic and random early detection using discrete-time queueing analysis and simulation." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4261.

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Since the field of computer networks has rapidly grown in the last two decades, congestion control of traffic loads within networks has become a high priority. Congestion occurs in network routers when the number of incoming packets exceeds the available network resources, such as buffer space and bandwidth allocation. This may result in a poor network performance with reference to average packet queueing delay, packet loss rate and throughput. To enhance the performance when the network becomes congested, several different active queue management (AQM) methods have been proposed and some of t

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27

Sun, Zhibin. "Application of artificial neural networks in early detection of Mastitis from improved data collected on-line by robotic milking stations." Lincoln University, 2008. http://hdl.handle.net/10182/665.

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Two types of artificial neural networks, Multilayer Perceptron (MLP) and Self-organizing Feature Map (SOM), were employed to detect mastitis for robotic milking stations using the preprocessed data relating to the electrical conductivity and milk yield. The SOM was developed to classify the health status into three categories: healthy, moderately ill and severely ill. The clustering results were successfully evaluated and validated by using statistical techniques such as K-means clustering, ANOVA and Least Significant Difference. The result shows that the SOM could be used in the robotic milki

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28

Di, Tullio Ian. "Improving the direct marketing practices of FMCG retailers through better customer selection : an empirical study comparing the effectiveness of RFM (Recency, Freuency and Monetary) CHAID (Chi-squared Automatic Interaction Detection), stepwise logit (logistic regression) and ANN (Artificial Neural Networks) techniques using different data variable depths." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/8837.

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The intent of this thesis is to understand Data Mining technique effectiveness in both shallow (RFM variable only) and expanded data environments. The thesis addresses two specific gaps in research: (1) the relationship between customer selection techniques and performance and (2) the effects of using different depths of data on performance. In shallow-data contexts stepwise logit and neural networks provided the greatest cumulative lift and outperformed both RFM and CHAID across all top deciles. However, RFM shows the second highest fit measure, illustrating its relative stability in predicti

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29

SHARMA, AKSHAY. "ANFIS AND FUZZY BASED FAULTY NODE DETECTION FOR WIRELESS SENSOR NETWORK." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20398.

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One of the main challenges in WSN is detection and management of faulty nodes. Currently, the great majority of fault detection approaches rely on surrounding nodes' views of data, which ignores the happenings of the event or issues coverage. In this paper, we describe a novel distributed fuzzy logic-based defective node identification approach for heterogeneous WSNs. The algorithm, it is hypothesized, weights the observed data depending on criteria such as distance, coverage, and the difference between them. When the proposed distributed technique is employed, each sensor node can

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Naqvi, Ali. "Utilising fuzzy logic to detect false access points in Wi-Fi networks." Thesis, 2015. http://handle.uws.edu.au:8081/1959.7/uws:31833.

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IEEE 802.11 (Wi-Fi) is the widely-accepted standard for implementing a Wireless Local Area Network today. Its security mechanism is defined in the IEEE 802.11i standard, which describes a Four-Way Handshake protocol for a wireless Access Point to associate to an Access Point (AP). Many researchers have proposed new protocols by modifying the use of some state variables in IEEE 802.11i. However, these new protocols cannot effectively prevent Access Points from associating to False APs when the False APs perform the Denial of Service (DoS) attack or the Man-in-the-Middle (MiM) attack to disguise

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Sheu, Jia-Shing, and 許佳興. "Fault Detection and Isolation System Design Using Neural Networks and Fuzzy Logic Techniques." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/80037727086461525323.

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碩士<br>國立成功大學<br>電機工程研究所<br>83<br>The thesis investigates the application of intelligent neural networks for the design of fault detection and isolation systems. The fault detection, isolation and estimation against sensor, actuator and system other failures are important features in ensuring performance robustness and avoiding catastrophes in autonomous system. Because of the uncertainty, nonlinearity and complexity of monitored system, it is difficult to adjust

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32

Mohamed, Abduljalil. "Fault Detection and Identification in Computer Networks: A soft Computing Approach." Thesis, 2009. http://hdl.handle.net/10012/4905.

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Governmental and private institutions rely heavily on reliable computer networks for their everyday business transactions. The downtime of their infrastructure networks may result in millions of dollars in cost. Fault management systems are used to keep today’s complex networks running without significant downtime cost, either by using active techniques or passive techniques. Active techniques impose excessive management traffic, whereas passive techniques often ignore uncertainty inherent in network alarms,leading to unreliable fault identification performance. In this research work, new algo

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Quiroga, Jabid Eduardo Mendez. "Stator winding fault detection for a PMSM using fuzzy logic classifier and neural network model identification." 2008. http://etd.lib.fsu.edu/theses/available/etd-04282008-100002.

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Thesis (M.S.)--Florida State University, 2008<br>Advisor: Dave A. Cartes, Florida State University, College of Engineering, Dept. of Mechanical Engineering. Title and description from dissertation home page (viewed June 11, 2008). Document formatted into pages; contains xii, 82 pages. Includes bibliographical references.

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"A multi-objective particle swarm optimized fuzzy logic congestion detection and dual explicit notification mechanism for IP networks." Thesis, 2006. http://hdl.handle.net/10413/2237.

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The Internet has experienced a tremendous growth over the past two decades and with that growth have come severe congestion problems. Research efforts to alleviate the congestion problem can broadly be classified into three groups: Cl) Router based congestion detection; (2) Generation and transmission of congestion notification signal to the traffic sources; (3) End-to-end algorithms which control the flow of traffic between the end hosts. This dissertation has largely addressed the first two groups which are basically router initiated. Router based congestion detection mechanisms, commonly kn

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Li, Hsin-Han, and 李欣翰. "Drunk Driving Detection Using Two-Stage Deep Neural Network." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5441036%22.&searchmode=basic.

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碩士<br>國立中興大學<br>電機工程學系所<br>107<br>There have been many incidents of drunk driving. Although in recent years, statistics show that there is a trend of decreasing year by year, the news of drunk driving is still often seen from TV news. At present, for the drunk driving test, the police still use the breathalyzer as the main source to confirm. Certified breathalyzer is expensive and the mouthpieces are also consumables. In addition, because the expiratory detection method is contact measurement, there may be hygiene concerns. In recent years, in order to achieve more convenient and accurate dete

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Chou, Pin-Chen, and 周品甄. "Dog Nose Detection and Retrieval Based on Convolutional Neural Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5396011%22.&searchmode=basic.

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碩士<br>國立中興大學<br>資訊管理學系所<br>107<br>In todays’ society, having pets is becoming a norm. Dogs accournt for a great proportion in pets. According to statistics of Council of Agriculture, Executive Yuan, Taiwan has about 1.7 million dogs in 2017. With the trend of having pets, problems derived from stray dogs are becoming a serious issue. If we observe the dog''s nose carefully, you will notice there are various patterns, these patterns are similar to human’s fingerprints, which means each of them is unique. Thus we can manage these dogs by recognizing their nose prints using dog nose prints recogn

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Lin, Min-Chi, and 林民麒. "Design and Implementation of YOLO Deep Learning Network Based Crowd Facial Direction Detection Technology for Intelligent Self-propelled Vehicles." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5441101%22.&searchmode=basic.

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碩士<br>國立中興大學<br>電機工程學系所<br>107<br>The rise of Artificial Intelligence makes it more and more common to use the deep learning training model to identify and classify objects, and the improvement of hardware also makes the combination of AI and embedded platforms more and more. Intelligent self-propelled vehicles are one of the popular applications. Our system can be applied to intelligent self-propelled vehicles to instantly analyze the images captured by the camera to identify the pedestrians in front and their facial directions. In order to realize the deep learning model of face direction id

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Lin, Chih-Chieh, and 林仕杰. "Design and Implementation of YOLO Deep Learning Network Based Pedestrian Collision Avoidance and Direction Detection Technology for Intelligent Self-propelled Vehicles." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5441090%22.&searchmode=basic.

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碩士<br>國立中興大學<br>電機工程學系所<br>107<br>In the past ten years, with the rapid development of the Internet and the maturity of hardware technology, artificial intelligence and big data analysis have become the key targets of high-tech in the future. The deep learning network can continuously learn and fix the weight of the data, and it allows the robot to perform high-complexity tasks, which are the goal of current research efforts. For intelligent self-propelled vehicles, the development of pedestrian direction detection technology is an important issue. Pedestrian direction information can avoid co

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Vallamsundar, Suriyapriya. "Numerical Evaluation of Classification Techniques for Flaw Detection." Thesis, 2007. http://hdl.handle.net/10012/3289.

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Nondestructive testing is used extensively throughout the industry for quality assessment and detection of defects in engineering materials. The range and variety of anomalies is enormous and critical assessment of their location and size is often complicated. Depending upon final operational considerations, some of these anomalies may be critical and their detection and classification is therefore of importance. Despite the several advantages of using Nondestructive testing for flaw detection, the conventional NDT techniques based on the heuristic experience-based pattern identification metho

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