Dissertations / Theses on the topic 'Object Study'
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Mustamo, P. (Pirkko). "Object detection in sports:TensorFlow Object Detection API case study." Bachelor's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201802081173.
Full textKohteentunnistusta käytetään yleisesti urheilumaailmassa, mm. valmennuksessa, televisiolähetyksissä sekä fanikäytössä. Neuroverkkoihin perustuvia menetelmiä käytetään yhdessä muiden tekniikoiden kanssa. Tämän tutkimuksen päämäärä oli tarkastella moderneja avoimen lähdekoodin ratkaisuja kohteentunnistukseen urheilussa, tässä tapauksessa jalkapalloilijoiden tunnistuksessa. TensorFlow Object Detection API perustuu avoimeen lähdekoodiin ja tarjoaa työkaluja kohteentunnistukseen. Sen avulla opetettiin ja testattiin SSD (Single-Shot Multibox Detector) with Mobilenet- mallia sekä a) valmiiksi treenattuna että b) hienosäädettynä aineistolla, joka koostui kahdesta jalkapallo-otteluvideosta poimituista kuvista. Työssä tarkasteltiin seuraavia hypoteeseja: 1) Valmiiksi opettettu malli ei toimi ilman hienosäätöä omalle aineistolle. 2) Hienosäädetty malli toimii kohtuullisen hyvin omalle aineistolle. 3) Hienosäädetyllä mallilla on ongelmia toisensa peittävien tai takaseinää vasten kuvattujen pelaajien tunnistamisessa. 4) Mallin opettaminen vaihtelevammalla aineistolla parantaa tuloksia uudenlaisia esineitä tunnistettaessa. Tutkimuksen tulosten perusteella: 1) Valmiiksi opetettu malli oli hyödytön tämän datan käsittelyssä. 2) Hienosäädetty malli toimi kohtalaisen hyvin. 3) Hienosäädetyllä mallilla oli ongelmia toisensa peittävien tai takaseinää vasten kuvattujen pelaajien tunnistamisessa. 4) Yhdestä pelistä saadulla aineistolla opetettu malli tunnisti pelaajat toisesta pelistä kohtalaisen hyvin. Mallin toiminta ei juurikaan parantunut kun se opetettiin molemmista peleistä koostetulla aineistolla. Muita mallityyppejä (kuten Faster R-CNN model) pitäisi testata tällä datalla
Adekile, Olusegun. "Object-oriented software development effort prediction using design patterns from object interaction analysis." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2329.
Full textGathers, Ann D. "DEVELOPMENTAL FMRI STUDY: FACE AND OBJECT RECOGNITION." Lexington, Ky. : [University of Kentucky Libraries], 2005. http://lib.uky.edu/ETD/ukyanne2005d00276/etd.pdf.
Full textTitle from document title page (viewed on November 4, 2005). Document formatted into pages; contains xi, 152 p. : ill. Includes abstract and vita. Includes bibliographical references (p. 134-148).
Salgado-Arteaga, Francisco. "A study on object-oriented knowledge representation." Virtual Press, 1995. http://liblink.bsu.edu/uhtbin/catkey/935944.
Full textDepartment of Computer Science
Anderson, Randi Lynne. "Object-oriented programming an in-depth study /." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1990. http://www.kutztown.edu/library/services/remote_access.asp.
Full textKUROKI, Hiroaki, and Shuichiro YAMAMOTO. "Patterned Versus Conventional Object-Oriented Analysis Methods: A Group Project Experiment." Institute of Electronics, Information and Communication Engineers, 1998. http://hdl.handle.net/2237/15019.
Full textHanmer, Louise A. "Rats' interactions with enrichment objects are naturally rewarding : A study of object preference and reward processes." Thesis, University of Reading, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500539.
Full textMinkley, Emma Smith. "A study of the art object as performative." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/12042.
Full textHao, Haiyan. "Understanding Fixed Object Crashes with SHRP2 Naturalistic Driving Study Data." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/84942.
Full textMaster of Science
Osman, Erol. "Relational Strategies for the Study of Visual Object Recognition." Diss., lmu, 2008. http://nbn-resolving.de/urn:nbn:de:bvb:19-90393.
Full textDixon, Kurt. "Sharp object fatalities in East London: A descriptive study." Thesis, University of the Western Cape, 2009. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5398_1277417263.
Full textData from the National Injury Mortality Surveillance System (NIMSS) show that homicide is the major cause of death with firearms and sharp objects as the main external causes of death in South Africa. The current study is a descriptive study, describing the epidemiology of sharp object fatalities in the city of East London (also known as Buffalo City) in South Africa. It is a secondary data analysis of mortuary data collected by morticians trained in data collection methods according to World Health Organisation standards. This descriptive study aimed to develop the profile of sharp object fatalities in East London. Most of the findings were consistent with other literature on sharp object violence/homicide and on homicide in general using rates per population denominator data. It also combined variables to arrive at more complex descriptions. The following risk factors were identified: male, between the ages 30-34, being from a disadvantaged population group, alcohol consumption, weekend, between the times 20h00 and 23h59 and if we discount the place of death, &lsquo
unknown&rsquo
then the greatest percentage of deaths occurred in a private house. The results were interpreted within an ecological and contextual theoretical framework to hypothesize possible etiological factors. The conclusion was that there were multiple variables which all interact and influence one another across all ecological levels and as other studies have recommended, this study too also recommends that more work is needed in order to identify the multiple pathways leading to fatalities, perhaps by way of multivariate studies as well as qualitative studies with perpetrators of sharp object fatalities.
Adam, Mohamed. "Sharp object fatalities in East London : A descriptive study /." Bellville : University of the Western Cape, 2009. http://etd.uwc.ac.za/usrfiles/modules/etd/docs/etd_gen8Srv25Nme4_6999_1277417229.pdf.
Full textMorena, Luca. "Word or object? : a study of disagreement in ontology /." Milano : Albo versorio, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016234905&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textChaudhri, Akmal Bashir. "A systematic performance study of object database management systems." Thesis, City University London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243885.
Full textYelland, Phillip M. "Models of modularity : a study of object-oriented programming." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386205.
Full textTippets, Ian Robert. "Differential Object Marking in Spanish: A Quantitative Variationist Study." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1282049112.
Full textShimada, Masaki. "Study on social object play among young Japanese macaques." 京都大学 (Kyoto University), 2006. http://hdl.handle.net/2433/136725.
Full textDeLong, Caroline M. "Object-centered representations in echolocating dolphins evidence from acoustic analyses of object echoes and a human listening study /." Thesis, University of Hawaii at Manoa, 2003. http://proquest.umi.com/pqdweb?index=0&did=765084621&SrchMode=1&sid=7&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1233101570&clientId=23440.
Full textWhite, Garry L. "Cognitive characteristics for learning Java, an object oriented programming language." Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3036612.
Full textYalamanchili, Raghu Kiran. "A Study of Exploiting Objectness for Robust Online Object Tracking." Thesis, West Virginia University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1524653.
Full textTracking is a fundamental problem in many computer vision applications. Despite the progress over the last decade, there still exist many challenges especially when the problem is posed in real world scenarios (e.g., cluttered background, occluded objects). Among them drifting has been widely observed to be a problem common to the class of online tracking algorithms - i.e., when challenges such as occlusion or nonlinear deformation of the object occurs, the tracker might lose the target completely in subsequent frames in an image sequence. In this work, we propose to exploit the objectness to partially alleviate the drifting problem with the class of online object tracking and verify the effectiveness of this idea by extensive experimental results. More specifically, a recently developed objectness measure was incorporated into Incremental Learning for Visual Tracking (IVT) algorithm in a principled way. We have come up with a strategy of reinitializing the training samples in the proposed approach to improve the robustness of online tracking. Experimental results show that using objectness measure does help to alleviate its drift to background for certain challenging sequences.
Patrick, Katharine Anne. "Teaching and learning : the construction of an object of study /." Connect to thesis, 1998. http://eprints.unimelb.edu.au/archive/00000293.
Full textLabuschagne, Gerard Nicholas. "Foreign object insertion in sexual homicide cases an exploratory study /." Diss., Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-08222008-092736.
Full textTuresson, Eric. "Multi-camera Computer Vision for Object Tracking: A comparative study." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21810.
Full textIvey, Gavin William. "A case study of narcissistic pathology : an object relations perspective." Thesis, Rhodes University, 1989. http://hdl.handle.net/10962/d1008453.
Full textSemysiuk, A. M. "English professional language “infectology” as an object of linguistic study." Thesis, БДМУ, 2020. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/18279.
Full textBo-Han, Chen, and 陳柏翰. "Object-Oriented Networking Study Platform." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/22001771933290288371.
Full text國防大學中正理工學院
資訊科學研究所
94
The work is based on the idea, “Create all the things by learning from Nature”, this research accomplishes the Study Platform, “Gan-Shi Internet School”, through digesting all the theories in E-Learning, such as Constructivism Theory in Knowledge, Situated Learning and Mutual-Cooperative Learning, and last, materializing by theory in Object-Oriented. The first characteristic- Motivating the user’s learning will efficiently. This Study Platform provides the user with a view of 2-Dimention campus and individual situation by simulating the real world from the web, which makes the Study Platform interesting, vivid, well interact and full of life. The second characteristic- Improving the efficiency of management and the elasticity of system.This Study Platform is framed by the theory of Objective-Oriented, containing the qualities of sealing and reusing, witch makes the Study Platform easy to preserve, duplicate, modify and transplant.
LI, JUN-DAO, and 林俊道. "Interferometric study on phase object." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/71768042078523064037.
Full textShih-Da, Chou, and 周世大. "A Study Of Superquadric Object Representation." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/97478343028830503818.
Full text國立臺灣科技大學
電機工程技術研究所
85
The object reconstruction system applies widely on machine vision.The system can reconstruct geometric object shapes based on the shape model and then save in the database for automatic recognition on vision and deformable animations is the main reason.In early, the object reconstruction system was only appliedon some specific object shapes.Recently, the object reconstruction system has been improved very much,and the framework using the Lagrange dynamic equation is used usually,but they havethe disadvantage of complex calculation and running time is too long.So this paper presents an advanced method to solve the above questions.The choice of shape model plays an important role in object reconstruction system.Developing shape models for shape estimation that cover a wide variety of shapes only using a small number of intuitive parameters is a difficultand important problem.Even though there exist models which have flexible and intuitive representations such as those used in solid modeling,but they were not designed for shape estimation.The superquadric which has a simple mathematical formulation is one kind of solid modeling and can increase the scopeby adding somedeformation parameters, but the kind of objects are stillfiniteby superquadric models.In fact, no existing shape model with a compact representati on can describe objects of varying genus in a unified shape model.The object reconstruction system in this paper obtains the two dimension plane graphs of the object by using a camera firstly and converts them to three dimension data points by using a single striped lighting method of the active vision system.Secondly, the superquadric technique is used to form the shapemodel of the system, in order to perform the representation, recognition and reconstructionof 3D objects, and which were need to calculate the externally applied force between points.For the determinationof force correspondence, the spacescaling function is presented by which reference research is defined,reallocate the mesh elements of the model surface, and get global shape parameters using Lagrange dynamic equations. The concept of the space mask is proposed to deal with the local deformation. For the processed time, the running time which the experiments take is less than that the traditional method take.For the results, theshape between the shape model and object is very closely, and MSE and MAE areboth very small.Finally, the experimental results reveal the accuracy, reliability and feasibility of the object reconstruction system.
Liu, Ding-Chang, and 劉頂昌. "The Study on Real-Time Automatic Detection for Object-Missing and Object-Left." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/51633476274389170845.
Full text國立高雄應用科技大學
資訊工程系
97
In this paper, the proposed method can be when the items were stolen or when the remaining object are placed, immediately to record automatically the information of missing object or left object, as well as the preservation of staff timely notification, to avoid terrorist acts and crime in the first. In indoor and outdoor public places such as airports, subway stations, train stations, the crowds gathered by the square in a busy environment, etc., are in need a surveillance system that can detection missing object and left object on real-time. At present, the surveillance systems in several visual functions, such as missing object detection, left object detection... etc, most of them are based on the simple realization of the background and environment, and a face around the crowd, and someone stranded on the detection screen for a long time, or changes in light of the factors and so on, most of them would cause miscarriage of justice are not accurate to judge suspicious and criminal incidents, and this article will address the complex changes in the background, can instantly and accurately detect the missing and left objects in order to better determine a more accurate environment to monitor any suspicious and criminal incidents, and to avoid crime to maintenance public places safety. The principle of this technology is first to utilize background subtraction with the frame difference in order to capture the prospect of objects (move objects), and then count of each pixel for every frame in the prospect, if more than a threshold, then determine the object is a static prospect object, and then utilize connection-labeling to mark different labels for each prospect object, and then determine does the center of every label change? And we can determine the prospect objects is a missing object and left object or not, and to determine is the prospect objects needless? Determine issued alarm or not according to the user. Experimental results show that this method in indoor and outdoor plaza and a number of crowd scenes of the screen can effectively detect objects Lost and stranded, and in accordance with the needs of real-time video.
Ho, Yuen-Bor, and 何淵博. "A Study on the Application of Object-to-Object Communication in Logistics Management." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/35683619560184418262.
Full textCanelas, Pedro Filipe Guerreiro. "Simulation of biologically inspired object movement for the study of object tracking algorithms." Master's thesis, 2016. http://hdl.handle.net/10362/37236.
Full textYu-TingTing and 丁于庭. "Interaction Between Face- and Object-Selective Regions by Face-Like Objects – An fMRI study." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/55864983158131149435.
Full text國立成功大學
認知科學研究所
98
In daily lives, many objects with their “two-eyes-on-top, one-mouth-below" configurations, look like human faces. In one MEG study, Hadjikhani (2009) found that subjects' face-selective region-FFA, responded similarly to those “face-like objects" as to faces, providing the first neuroscientific support of those “face-likeness” impressions. However, face-like objects are by default objects, so they should active object-selective region-LOC as well. To investigate the interaction between FFA and LOC in viewing face-like objects, we use behavioral and fMRI methods to disentangle their relations. Subjects do speeded face/object and facelike/non-facelike judgments in fMRI experiments. First, the behavioral results show that the reaction time of face-like objects are significantly longer than that of faces or objects, suggesting the extra conflict reaction time of facelike-objects. Second, the fMRI experiment shows that when using different judgments, task demands would affect brain neuron responses in face- and object- selective regions.
Yang, Shyue-Wen, and 楊學雯. "A Study of Foreground Object Detection and Object Feature Extraction for Image Surveillance System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/28414153911894792444.
Full text國立雲林科技大學
工程科技研究所博士班
102
Image surveillance systems are used to perform direct visual monitoring. Moreover, multiple cameras are used to acquire complete visual coverage of locations such as banks and traffic intersections. Image surveillance systems can be divided into front-end processes for object detection and feature extraction, and back-end processes for object classification and tracking. This dissertation focuses on the front-end processes. The topics of this study are the development of a ghost-free video stitching method for multiple-camera environments, and the foreground object detection for image surveillance systems. An image labeling technique was applied to acquire feature data on foreground objects. By using an image stitching method, we identified a variable seam line based on minimal color differences in the overlapping region of images captured by two cameras. By stitching a static scene, we located a seam line to bypass the horizontal edge, thus removing alignment artifacts. Furthermore, in dynamic scenes, the variable seam line removes moving objects to obtain a ghost-free panoramic video image. To evaluate the quality of a seam, we present a seam similarity function for evaluating color difference of a neighboring seam. In the same test sequence, our seam similarity method achieved an improvement of 10%–23%. Regarding the foreground object detection, we used a block-based background subtraction technique. Initially, the input image is partitioned into non-overlapping image blocks. Subsequently, each image block is analyzed to obtain its textural information. According to the textural variation in each image block, we constructed a dynamic background model. First, we used discrete cosine transform (DCT) coefficients to construct the background model. Because human eyes are sensitive to low-frequency components, the low-order DCT coefficients of each block were used to construct a background model and execute foreground block detection. The block-based method can markedly reduce the required memory when constructing the background model in dynamic scenes. The experimental results showed that the proposed method uses at least 39.66% less memory than conventional method. However, calculating DCT coefficients increases the computational complexity. Therefore, we represent each block as a block texture. The block texture transform requires only addition and subtraction operations. The mean intensity and textural information (vertical, horizontal, and diagonal textures) can be obtained easily. When using block texture representation to construct the background model, the memory consumption can be reduced by 23.97%. The proposed approach was implemented using an embedded system platform. The proposed method can be applied to perform real-time operations at processing speeds of at least 20 fps, representing a 17.64% improvement. Regarding the object feature extraction, we used an image labeling technique to obtain the feature data for each object. A single-pass labeling method was employed and a label reuse approach is presented to minimize the number of labels. This approach can efficiently reduce the memory consumption and improve the processing speed. The experimental results showed that the memory consumption is decreased by 37% and the execution time improved by 41%.
吳志文. "A Study on Contour-Based Object Recognition." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/67769816296596870079.
Full text華梵大學
資訊管理學系碩士班
92
In the thesis, the research topic about contour-based object recognition is studied. Polygonal approximation algorithm was used to find out vertices of contour of an object. And then, the attributed string with polygon vertices as primitives were set up and used for dynamic programming. We slightly modified the dynamic programming algorithm proposed by Kaygin and Bulut [12] in order to match open shapes. On the other hand, the selection problem of starting points may occur for matching attributed strings. We overcome this problem by doubling the size of the attributed string. In the experimental results, three matching cases for shape matching, such as closed-to-closed, open-to-closed, open-to-open, were considered and discussed. Besides, some experiments were designed to test the retrieval performance due to rotation, scaling and translation. Experimental results show that our method performs well.
Kao, Chai-Shih, and 高采時. "Study of SCORM Compliance Learning Object Repository." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/8cxr6q.
Full text崑山科技大學
電機工程研究所
96
Due to the progress of the network and the information technology, learning anywhere and anytime becomes possible. E-learning becomes more and more important. The multimedia information technology used in teaching is become an essential issue. The focus of E-learning is moved from the learning management to the content management along with the production and promotion of numerous international E-learning standards and the ripe usage of learning management platform and learning content management platform. The key to success of E-learning is transferred to how to help teachers fast and easily developing high quality learning course. There are many approaches to develop high quality learning courses. One of these is the learning object approach proposed in 1994 by Wayne Hodgins. The idea of the learning object is from the object-oriented programming. This approach uses the reusability of learning objects along with construction standardization and free share. Teachers can develop high quality courses fast and easily by this approach. Without taking extra effort on course construction, teachers can take more attention to the interaction with students. The construction of learning object repository (LOR) becomes a new development trend in the international E-learning organizations. This thesis defines the learning object and then develops a guideline to construct learning objects. The fields of metadata are defined according to the China National Standards (CNS) learning objects metadata (LOM) standard. The Dspace system is modified as a LOR platform. The courses are then packaged by the reusable e-learning object authoring & delivery (RELOAD) Editor to meet the Sharable Content Object Reference Model (SCORM) and put into the LOR as a basic element for teachers to develop digital courses in the future.
Yan, Bi-quan, and 顏必全. "Study On Static Object Detection In Drawers." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/29359763618028903398.
Full text大同大學
通訊工程研究所
105
This paper proposes a device for detecting the forgotten objects in a desk drawer. The device consists of the pressure sensing system and the object detecting system. The pressure sensing system detects the appearance of a seated person. The object detection system detects the foreign objects with the following operations (1) Software on computer receives the information from the pressure sensing system; (2) when information indicates that user leaves the chair, CCD camera takes a picture from computer in the desk drawer; (3) the picture is named "current-image"; (4) converting "current-image" to grayscale image; (5) calculating the difference between the "current-image" and the image of empty desk based on background subtraction; (6) converting the background subtraction result to binary image; (7) get the number of white pixels in the binary image; (8) and if the white pixels in the binary image exceeds a certain threshold, computer flashes LEDs. Experiment results show: (a) When different pixels take up over 5.7% of the “current-image”, the object detection system determines that there is foreign objects in the desk drawer; (b) the pressure sensing system sends data to the object detection system in 0.013 seconds, and the object detection system presents calculation result in 5.329 seconds.
Chien, Jui-Cheng, and 簡睿成. "A Study on Object-Based Video Compression." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/80368889867706396980.
Full text國立交通大學
資訊科學系
90
Object-based video compression is a hot topic. This kind of techniques separates objects from the background and encodes objects individually. In this thesis, we will propose an object segmentation method and an object-based video compression method. Both methods are fully automatic. The object segmentation approach provides the ability to extract rigid objects from two consecutive frames with or without background motion. The main idea is to analyze the motion information between two frames. Then the result of object segmentation could be used in the object-based video compression method. The object in each frame could be considered the same as the first extracted one. So we only need to record the motions of background and the object in each frame. And the new appeared background area also needs to be recorded. Thus, only a little information is needed to reconstruct the original video.
Knoblich, Ulf, and Maximilan Riesenhuber. "Stimulus Simplification and Object Representation: A Modeling Study." 2002. http://hdl.handle.net/1721.1/7269.
Full textLin, Hsiau-Wen, and 林曉雯. "A Study on Reusability of Adaptive Learning Object." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/23917351650623746551.
Full text淡江大學
資訊工程學系博士班
95
One stumbling block to the establishment of E-Learning is on the time consuming tasks to create high quality digital contents that can be used in instruction. In the literature, reusability of learning objects is addressed as a potential solution toward the sharing of high quality contents. SCORM provides a generic and standard mechanism to enable learning objects changeable, reusable. SCORM defines metadata of learning objects, which is used as the elementary reusable components in E-Learning; SCORM defines sequence of learning objects, which is used for setting adaptive E-Learning; even provides a common architecture for the resolution, discovery, and sharing of learning objects in new proposed CORDRA. However, there is another big stumbling block for most course designers (e.g. teachers) who are not SCORM specialists to create a SCORM compliant learning objects. Thus, our investigation focuses on how to help course designers to create reusable learning objects facilely. First, we propose a mechanism called the MINE Metadata Wizard, by means of using user profiles, system extracted information, interactive questions, and influence rules to provide an automatic metadata generation mechanism to reduce the load of course designers. Second, the first technique for automatic sequencing testing is proposed to decrease the complexity of sequencing definition model in SCORM 2004. Petri Net is extended to make the course sequencing visible and avoid any irregular setting interrupting learning activity in advance. In addition, when course designers want to reuse exist learning objects, our extending CORDRA model provides systematic query results from huge repository. The evolution of reusing on a particular learning object in CORDRA can be tracked in a structure. We call the structure a Reusability Tree. As a consequence, reusable learning objects can be discovered and reused by many course designers.
林曉雯. "The Study of Object-Oriented Data Warehouse Design." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/78224372200247517584.
Full text佛光人文社會學院
資訊學研究所
91
With the variety of analysis tools and heterogeneous data sources, it is getting more important to apply object-oriented techniques to approach data warehouse designs. The data warehouse architecture consists of various data sources, view mechanisms and data storages. In order to construct a complete object-oriented data warehouse, it is essential to deal with the characteristics of object-oriented technology in the data warehouse architecture well. In this thesis, we propose a novel data model for constructing the object-oriented data warehouses from a global object-oriented data source. The model generates the classes of the objected-oriented data warehouse according to the views of users’ requirements and the original structures. Especially, it preserves the original inheritance relationships of classes and economizes the use of schema storage. In addition, the model deals with derived attributes to avoid the inconsistency between data source and data storage which has never been done well before.
Hwang, Jaw Pyng, and 黃肇萍. "A Study on The object of Condominoum Ownership." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/94770740826625421851.
Full textChin, Hsuan, and 晋萱. "A Study on Object Locating via Indoor Positioning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/89wc2w.
Full text國立臺灣科技大學
資訊管理系
107
In our daily life, we may have experience on try finding an object, especially at home. This paper proposes a mobile app that records the location of indoor objects, and identifies objects appearing in the camera through object recognition. At the same time, the geomagnetic indoor positioning is used to obtain the current indoor coordinates, and the object information is recorded in the database. When the object is to be searched later on, the geomagnetic information is used to navigate to the object location, so that it is easier to find it. In order to make the user more aware of the location, this paper also proposes a method on the route display, combined with the geomagnetic indoor positioning data and the flood filling algorithm, so that we can present the user's path while walking, and construct a simple indoor floor plan.
Chen, Kuan-Wha, and 陳冠樺. "Study on Application of Object Detection with WHT." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/44061595579006445562.
Full text大同大學
資訊工程學系(所)
103
Haar-like feature extraction and Adaboost algorithm were applied to the human face detection in the beginning. Then they were widely used in the detection to other objects. In previous study, the Walsh-Hadamard transform is applied to replace the integral image and Haar-like feqtures to obtain the features of images. Through the Adaboost learning the process is used to detect human face. In this these, the other object detection of Walsh-Hadamard transform and Adaboost algorithm is studied, including the windows of building, the license plate of cars and wheels of motorcycles. Furthermore, in addition to the original Haar-like features, the Sobel operator is used to find the gradient. The direction of the gradient is calculated to obtain the cumulative histogram. And the Haar-like features are extracted from the histogram. These three experiments are studied to evaluate the effects of the learning samples with detection results and the influence in the angle of the object. From the experiment can be found that: less learning samples are needed with application of the Walsh-Hadamard transformation to get a good detection results. The changes in the angle of the object is less than original Haar-like features methods. Therefore, the conclusion that the object detection with Walsh-Hadamard transformation can replace the Haar-like features in the applications of objects detection.
Te-Yi, Liu, and 劉德一. "Study on Colored Laminated Object Manufacturing Rapid Prototyping." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/65022030927941227798.
Full textLin, Hsiang-Chi, and 林翔祺. "The study on Video Object Coding over MPEG." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/02005098079260498881.
Full textCHIANG, CHUN-I., and 江俊逸. "A STUDY OF CHING DYNASTY OBJECT "PWU-SHYUE"." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/42329954029103454744.
Full textChiu, Chi Tai, and 邱啟泰. "A Study on Object-Oriented Courseware Analysis Method." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/74275646316263736248.
Full textYe, Yan-Ting, and 葉彥廷. "The Study on Video Object Segmentation Based on Object Structure and Color Analysis in Rainy Situations." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/01939034144937562967.
Full text國立高雄應用科技大學
電子與資訊工程研究所碩士班
95
Video segmentation is key role for developing technique (e.g. index-retrieval, compression or representation) of content-based video processing. In practically, it can be implemented in pre-processing for contend-based video system in order to separate the video into many video objects. Many proposed video segmentation algorithms which are aimed at specific sequence (e.g. indoor environment) or outdoor environment in clear day. However, there restrictions hardly make it to be invalid in bad situation. A novel video segmentation algorithm to be proposed in this dissertation, it can be applied to rainy situations. This algorithm is based on change detection and also combines with colors and structure of image. First of all, we separate the pixels of foreground and background from the video sequence by using change detection. Therefore, we can obtain the initial object mask which consist of shadow region and reflect region. The shadow region is caused by lighting change; the reflect region is caused by rainy weather. The above two regions can be reduced by image structure and image color analysis. In the end, to refine the boundary of moving object by using connect component labeling and morphological operation. Experimental result shows that the foreground objects can be extracted efficiently by the proposed algorithm, especially for rainy day.
Zaman, Naeem. "Strategies utilized in computer problem solving and object-oriented programming." Thesis, 2003. http://hdl.handle.net/1957/31604.
Full textGraduation date: 2003
Zhang, Byron He. "Object - oriented ecosystem modelling : a case study : SALMO - OO." 2006. http://hdl.handle.net/2440/37792.
Full textThesis (M.Sc.)--School of Earth and Environmental Sciences, 2006.