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In this project, we explored the usage of machine learning in classifying portable electronic devices. The primary objective was to identify devices such as laptops, smartphones, and tablets, based on their physical and technical specification. These specifications, sourced from the Pricerunner price comparison website, contain height, Wi-Fi standard, and screen resolution. We aggregated this information into a dataset and split it into a training set and a testing set. To achieve the classification of devices, we trained four popular machine learning models: Random Forest (RF), Logistic Regression (LR), k-Nearest Neighbor (kNN), and Fully Connected Network (FCN). We then compared the performance of these models. The evaluation metrics used to compare performance included precision, recall, F1-score, accuracy, and training time. The RF model achieved the highest overall accuracy of 95.4% on the original dataset. The FCN, applied to a dataset processed with standardization followed by Principal Component Analysis (PCA), reached an accuracy of 92.7%, the best within this specific subset. LR excelled in a few class-specific metrics, while kNN performed notably well relative to its training time. The RF model was the clear winner on the original dataset, while the kNN model was a strong contender on the PCA-processed dataset due to its significantly faster training time compared to the FCN. In conclusion, the RF was the best-performing model on the original dataset, the FCN showed impressive results on the standardized and PCA-processed dataset, and the kNN model, with its highest macro precision and rapid training time, also demonstrated competitive performance.

京都大学 / 新制・課程博士 / 博士(医学) / 甲第25192号 / 医博第5078号 / 新制||医||1072(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 村川 泰裕, 教授 斎藤 通紀, 教授 李 聖林 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM

Este trabalho apresenta a formulação de um sistema híbrido de apoio à decisão que, através de técnicas adaptativas, permite que múltiplos dispositivos sejam utilizados de forma colaborativa para encontrar uma solução para um problema de tomada de decisão. É proposta uma estratégia particular para o trabalho colaborativo que restringe o acesso aos dispositivos mais lentos com base na dificuldade encontrada pelos dispositivos mais rápidos para solucionar um problema específico. As soluções encontradas por cada dispositivo são propagadas aos demais, permitindo que cada um deles agregue estas novas soluções com o auxílio de técnicas adaptativas. É feito um estudo sobre aprendizagem de máquina mediante incertezas para verificar e minimizar os impactos negativos que uma nova solução, possivelmente errônea, possa ter. O sistema híbrido proposto é apresentado numa aplicação particular, utilizando testes padronizados para compará-lo com os dispositivos individuais que o compõem e com sistemas híbridos de mesma finalidade. Através destes testes, é mostrado que dispositivos consolidados, mesmo que de naturezas distintas, podem ser utilizados de maneira colaborativa, permitindo não só calibrar um compromisso entre o tempo de resposta e a taxa de acerto, mas também evoluir de acordo com o histórico de problemas processados. / This work presents a formulation of a hybrid decision-making system that employs adaptive techniques as a way to coordinate multiple devices in order to make a collaborative decision. The strategy proposed here is to restrict the use of slower devices, based on how difficult the specific problem is - easier problems may be solved on faster devices. Each device is able to learn through solutions given by the others, aggregating new knowledge with the aid of adaptive techniques. In order to evaluate and minimize the negative impact those new solutions may have, a study concerning machine learning under uncertainty is carried out. A particular application of this system has been tested and compared, not only to each individual device that is part of the system itself, but to similar hybrid systems as well. It is shown that even devices of distinct natures may be reused in a collaborative manner, making it possible to calibrate the trade-off between hit rate and response time, and to evolve according to the input stimuli received as well.

Este trabalho apresenta a formulação de um sistema híbrido de apoio à decisão que, através de técnicas adaptativas, permite que múltiplos dispositivos sejam utilizados de forma colaborativa para encontrar uma solução para um problema de tomada de decisão. É proposta uma estratégia particular para o trabalho colaborativo que restringe o acesso aos dispositivos mais lentos com base na dificuldade encontrada pelos dispositivos mais rápidos para solucionar um problema específico. As soluções encontradas por cada dispositivo são propagadas aos demais, permitindo que cada um deles agregue estas novas soluções com o auxílio de técnicas adaptativas. É feito um estudo sobre aprendizagem de máquina mediante incertezas para verificar e minimizar os impactos negativos que uma nova solução, possivelmente errônea, possa ter. O sistema híbrido proposto é apresentado numa aplicação particular, utilizando testes padronizados para compará-lo com os dispositivos individuais que o compõem e com sistemas híbridos de mesma finalidade. Através destes testes, é mostrado que dispositivos consolidados, mesmo que de naturezas distintas, podem ser utilizados de maneira colaborativa, permitindo não só calibrar um compromisso entre o tempo de resposta e a taxa de acerto, mas também evoluir de acordo com o histórico de problemas processados. / This work presents a formulation of a hybrid decision-making system that employs adaptive techniques as a way to coordinate multiple devices in order to make a collaborative decision. The strategy proposed here is to restrict the use of slower devices, based on how difficult the specific problem is - easier problems may be solved on faster devices. Each device is able to learn through solutions given by the others, aggregating new knowledge with the aid of adaptive techniques. In order to evaluate and minimize the negative impact those new solutions may have, a study concerning machine learning under uncertainty is carried out. A particular application of this system has been tested and compared, not only to each individual device that is part of the system itself, but to similar hybrid systems as well. It is shown that even devices of distinct natures may be reused in a collaborative manner, making it possible to calibrate the trade-off between hit rate and response time, and to evolve according to the input stimuli received as well.

This master thesis project is carried out by one student at the Royal Institute of Technology in collaboration with Cybercom Group. The aim was to evaluate and compare system design strategies for fruit recognition in harvesting robots and the performance of supervised machine learning classification methods when applied to this specific task. The thesis covers the basics of these systems; to which parameters, constraints, requirements, and design decisions have been investigated. The framework is used as a foundation for the implementation of both sensing system, and processing and classification algorithms. A plastic tomato plant with fruit of varying maturity was used as a basis for training and testing, and a Kinect v2 for Windows including sensors for high resolution color-, depth, and IR data was used for image acquisition. The obtained data were processed and features of objects of interest extracted using MATLAB and a SDK for Kinect provided by Microsoft. Multiple views of the plant were acquired by having the plant rotate on a platform controlled by a stepper motor and an Ardunio Uno. The algorithms tested were binary classifiers, including Support Vector Machine, Decision Tree, and k-Nearest Neighbor. The models were trained and validated using a five fold cross validation in MATLABs Classification Learner application. Peformance metrics such as precision, recall, and the F1-score, used for accuracy comparison, were calculated. The statistical models k-NN and SVM achieved the best scores. The method considered most promising for fruit recognition purposes was the SVM. / Det här masterexamensarbetet har utförts av en student från Kungliga Tekniska Högskolan i samarbete med Cybercom Group. Målet var att utvärdera och jämföra designstrategier för igenkänning av frukt i en skörderobot och prestandan av klassificerande maskininlärningsalgoritmer när de appliceras på det specifika problemet. Arbetet omfattar grunderna av dessa system; till vilket parametrar, begränsningar, krav och designbeslut har undersökts. Ramverket användes sedan som grund för implementationen av sensorsystemet, processerings- och klassifikationsalgoritmerna. En tomatplanta i pplast med frukter av varierande mognasgrad användes som bas för träning och validering av systemet, och en Kinect för Windows v2 utrustad med sensorer för högupplöst färg, djup, och infraröd data anvöndes för att erhålla bilder. Datan processerades i MATLAB med hjälp av mjukvaruutvecklingskit för Kinect tillhandahållandet av Windows, i syfte att extrahera egenskaper ifrån objekt på bilderna. Multipla vyer erhölls genom att låta tomatplantan rotera på en plattform, driven av en stegmotor Arduino Uno. De binära klassifikationsalgoritmer som testades var Support Vector MAchine, Decision Tree och k-Nearest Neighbor. Modellerna tränades och valideras med hjälp av en five fold cross validation i MATLABs Classification Learner applikation. Prestationsindikatorer som precision, återkallelse och F1- poäng beräknades för de olika modellerna. Resultatet visade bland annat att statiska modeller som k-NN och SVM presterade bättre för det givna problemet, och att den sistnömnda är mest lovande för framtida applikationer.

In the hope to increase the detection rate of faults in combined heat and power plant boilers thus lowering unplanned maintenance three machine learning models are constructed and evaluated. The algorithms; k-Nearest Neighbor, One-Class Support Vector Machine, and Auto-encoder have a proven track record in research for anomaly detection, but are relatively unexplored for industrial applications such as this one due to the difficulty in collecting non-artificial labeled data in the field.The baseline versions of the k-Nearest Neighbor and Auto-encoder performed very similarly. Nevertheless, the Auto-encoder was slightly better and reached an area under the precision-recall curve (AUPRC) of 0.966 and 0.615 on the trainingand test period, respectively. However, no sufficiently good results were reached with the One-Class Support Vector Machine. The Auto-encoder was made more sophisticated to see how much performance could be increased. It was found that the AUPRC could be increased to 0.987 and 0.801 on the trainingand test period, respectively. Additionally, the model was able to detect and generate one alarm for each incident period that occurred under the test period.The conclusion is that ML can successfully be utilized to detect faults at an earlier stage and potentially circumvent otherwise costly unplanned maintenance. Nevertheless, there is still a lot of room for improvements in the model and the collection of the data. / I hopp om att öka identifieringsgraden av störningar i kraftvärmepannor och därigenom minska oplanerat underhåll konstrueras och evalueras tre maskininlärningsmodeller.Algoritmerna; k-Nearest Neighbor, One-Class Support Vector Machine, och Autoencoder har bevisad framgång inom forskning av anomalidetektion, men är relativt outforskade för industriella applikationer som denna på grund av svårigheten att samla in icke-artificiell uppmärkt data inom området.Grundversionerna av k-Nearest Neighbor och Auto-encoder presterade nästan likvärdigt. Dock var Auto-encoder-modellen lite bättre och nådde ett AUPRC-värde av 0.966 respektive 0.615 på träningsoch testperioden. Inget tillräckligt bra resultat nåddes med One-Class Support Vector Machine. Auto-encoder-modellen gjordes mer sofistikerad för att se hur mycket prestandan kunde ökas. Det visade sig att AUPRC-värdet kunde ökas till 0.987 respektive 0.801 under träningsoch testperioden. Dessutom lyckades modellen identifiera och generera ett larm vardera för alla incidenter under testperioden. Slutsatsen är att ML framgångsrikt kan användas för att identifiera störningar iett tidigare skede och därigenom potentiellt kringgå i annat fall dyra oplanerade underhåll. Emellertid finns det fortfarande mycket utrymme för förbättringar av modellen samt inom insamlingen av data.

Text in German / This dissertation is a contribution in the field of Homiletics, a sub-discipline in the area of Practical Theology. It also touches the subjects of Counseling, Cy-bernetics and Religious Pedagogy. Furthermore, it also is concerned with the other theological disciplines: Theology of the OT and NT, Missiology and Sys-tematic Theology. This work also refers intra-disciplinarily to findings in Ethol-ogy, Management Theory, Neurobiology, Neuropsychotherapy and Socio-logy. The basic thesis is, "The goal of the biblical message is the mission oriented church to the glory of God, to the salvation and well-being of man." This will be demonstrated from the Holy Scriptures and made applicable to preaching and to church growth and development. The observation of the church's message results in a new thesis: "The aban-donment of the soteriological message of the church is the main reason for the dwindling of her spiritual power and therewith also of her eschatological and po-litical significance." The abandonment of the mission goes back to a christo-logical crisis. This is grounded on the preaching of less than Biblical messages with negative consequences for the church and for the people whose need for the Gospel remains unfulfilled. It will be shown that in the OT and NT various missions of the Trinity are ob-servable which are to be understood soteriologically, with the exception of the Creation. The Bible is the written expression of these missions that are evidenced within it. The distinct dynamic of the mission of Jesus is based on His obedience, His struggle against the powers of evil and the dedication of His life for the Salva-tion of the world. The ministry that preaches reconciliation (2 Cor. 5:18) represents the one who reconciled the world to Himself. The dynamic of His mission corresponds to the dynamic role of the ministry of preaching. It is incumbent on the ministry to evangelize and equip the church members for their service in the congregation. The purpose of equipping the church and calling together is to practice missions. The implementation of missions will bring about a basic positive change in the attitude of the church and her pastoral activities. Because of this, we see that our usual understanding of the sermon is based on the ecclesiological misunder-standing to adress the sermon to individuals (the listener) instead to a faithful body of Christ. The church must be obedient in a new way regard to the question of mission. This is a question of life or death. The message that is preached by the church will lead it either to destruction or to the goal-centered, missions-oriented interaction of her charisms - to the glory of God and the salvation of humankind. Deutsche Zusammenfassung Diese Arbeit liefert einen Beitrag zur Homiletik, einer Teildisziplin der Praktischen Theologie. Dabei berührt sie weitere ihrer Fachrichtungen wie Seelsorge, Kybernetik, Religionspädagogik. Zudem greift sie auf andere theologische Disziplinen zurück: Theologie des AT und NT, Missiologie, Systematische Theologie. Ebenso bezieht sich die Arbeit intradisziplinär auf Ergebnisse der Ethologie, Managementtheorie, Neurobiologie, Neuropsychotherapie, Soziologie. Die Grundthese lautet: ,,Das Ziel biblischer Verkündigung ist die sendungs-orientierte Gemeinde - Gott zum Lob, dem Menschen zur ewigen Rettung und zeitlichem Wohl." Das wird aus der Schrift nachgewiesen und für die Verkündigung und Gemeindeentwicklung fruchtbar gemacht. Aus Wahrnehmungen des hiesigen Predigtgeschehen ergibt sich eine Erkenntnis: ,,Die Preisgabe ihrer soteriologisch zu verstehenden Sendung ist die Hauptursache dafür, dass die spirituelle Kraft der Kirche schwindet und damit ihre eschatologische und politische Bedeutung." Die Preisgabe der Sendung geht auf eine Krise des Christusglaubens der Gemeinde zurück. Diese hat ihre Ursache in der an sie ergehenden Predigt mit schlimmen Folgen für die Gemeinde und die Menschen, denen sie das Evangelium schuldig bleibt. Es wird gezeigt, dass im AT und NT verschiedene Sendungen des Dreieinigen bezeugt sind, die sich, abgesehen von der Schöpfung, soteriologisch verstehen. Die Bibel ist der schriftliche Niederschlag, der in ihr bezeugten Sendungen. Die besondere Dynamik der Sendung Jesu ergibt sich aus seinem Gehorsam, seinem Kampf gegen die Mächte, seiner Lebenshingabe zum Heil der Welt. Der Dienst, der Versöhnung predigt (2. Kor 5,18), repräsentiert den, der die Welt mit sich versöhnte. Der Dynamik seiner Sendung entspricht das dynamische Predigtamt. Ihm obliegt die Zurüstung und Sammlung der Gemeinde mit dem Ziel ihrer Sendung. Die ,,Sammlung zur Sendung" führt zu grundlegenden, positiven Veränderungen der Gemeinden und ihrer pfarramtlichen Praxis. Es zeigt sich, dass unsere gewöhnliche Predigtauffassung auf einem ekklesiologischen Missverständnis beruht: Statt verbindliche, zielgerichtete Sendungsrede zu sein, ist Predigt individualisierende ,,Seelenbedienung". Adressat ist der einzelne Hörer, nicht die sendungsorientierte Gemeinde als Leib Christi. - Die Kirche steht im Blick auf ihre Sendung vor der Frage des Gehorsams als einer Frage von Leben oder Tod. Ihre Predigt führt die Gemeinden entweder ins Verderben oder zum sendungsorientierten Zusammenspiel ihrer Charismen und Dienste - zur Ehre Gottes und der Rettung und dem Wohl der Menschen. / Practical Theology / D.Th.

中共自文革後鄧小平掌權起，開始調整國內外作為與態度，不再盲從於意識形態爭鬥，漸納入國際體系規範中，注重國家實質利益追求。在銳意於自身改革同時，如何塑造一個安全環境，凝聚一個俾利於經濟與國家建設發展氛圍，即賴於制定一套符合前述對外關係政策，此一為中共近年來積極推動「睦鄰外交」濫觴。而一個國家外交政策與涉外制度往往受該國傳統政治思想觀念影響，中國是具有數千年傳承古國，曾長期在歷史上有輝煌、重要地位，如何在過去經驗中尋找未來出路，似成為可能選項。 中國過去2000多年所成就在東亞區域之長期優勢與霸權維繫，多賴於儒術「仁道」、「尊王」思維衍生之「朝貢體系」外交政策，藉由國際義務承擔、經濟利益供給、文明教化傳輸與自我實力信任、展現等措施所構建成熟；對應現今中共睦鄰外交中所強調「與鄰為善、與鄰為伴」、「做負責任大國」、落實「睦鄰、安鄰、富鄰」等政策作為，在精神與策略上似與過去推動「朝貢體系」相關聯，本文即從朝貢的體系架構與理論，就中國歷代施行「朝貢外交」在政治、經濟上的發展與難處，對應中共「睦鄰外交」之意涵與實踐過程，試圖觀察、探究這項涉外關係轉變對中共國家利益影響之可能性，並期預想睦鄰政策實踐中將面臨何種問題與困境。 / Chinese Communist Party after the Great Cultural Revolution Deng Xiaoping is in power,starts to adjust the domestic and foreign, achievement and the manner.The Chinese Communist Party which does not follow blindly in the ideology battle,gradually integrates in the international system standard, and pays great attention to the nationally essence benefit pursuit.While having firm will in their own reform, how to mold a security environment, and how to condense one to enable the economical and the national construction development atmosphere to be favorable, namely, in formulating a complete set for conforming to the fore-mentioned foreign relation policy. This is the positive impetus for the Chinese Communist Party in recent years to push “good-neighborly diplomacy” source.But a national foreign policy and the foreign system will often be influenced by this national traditionally political thinking. China is a country which has quite an inheritance of long history for several thousand years, and owns for a long time magnificent as well as the important position in the history. Then, how to seek an outlet in the future from the past experience seems to become the possible option. For more than past 2000 years, China has maintained quite an achievement in the East Asian region of long-term superiority and hegemony; which depends in the Confucianist method “ humanity” and “the kernel said that”, “reveres the king”, the thoughts which give rise to the system of paying tribute for the foreign policy. China constructs its maturity in diplomacy by means of undertaking international obligations,supplying the economic interests, transiting the civilized enlightenment and confidence in its own potentiality as well as development and so forth.The correspondence nowadays in the Chinese Communist Party good-neighborliness diplomacy stresses “friendly toward the neighbour countries”, “the partners to the neighbour countries”, and “being the responsible great nation”, to carry out “good-neighborliness, stabilized neighbour, and the rich neighbour” and so on. Such policy achievements resemble in the spirit and the strategy the past impels which are connected with their “tributary system”.In this article, we are attempting to observe and inquire into how the China’s foreign relation transform will probably influence its national interest in view of the construction of its tributary system and theory in previous dynasties and its economical development and difficulty in execution as well as the meaning and practice process in present Communist China’s good neighbourly diplomacy. Also,we are expecting to predict what kind of questions and difficult position which their policy execution of good-neighbourly diplomacy will face.

Ein zunehmend wichtiges Thema in der Informatik ist der Umgang mit Ähnlichkeit in einer großen Anzahl unterschiedlicher Domänen. Derzeit existiert keine universell verwendbare Infrastruktur für die Ähnlichkeitssuche in allgemeinen metrischen Räumen. Ziel der Arbeit ist es, die Grundlage für eine derartige Infrastruktur zu legen, die in klassische Datenbankmanagementsysteme integriert werden könnte. Im Rahmen einer Analyse des State of the Art wird der M-Baum als am besten geeignete Basisstruktur identifiziert. Dieser wird anschließend zum EM-Baum erweitert, wobei strukturelle Kompatibilität mit dem M-Baum erhalten wird. Die Abfragealgorithmen werden im Hinblick auf eine Minimierung notwendiger Distanzberechnungen optimiert. Aufbauend auf einer mathematischen Analyse der Beziehung zwischen Baumstruktur und Abfrageaufwand werden Freiheitsgrade in Baumänderungsalgorithmen genutzt, um Bäume so zu konstruieren, dass Ähnlichkeitsanfragen mit einer minimalen Anzahl an Anfrageoperationen beantwortet werden können. / A topic of growing importance in computer science is the handling of similarity in multiple heterogenous domains. Currently there is no common infrastructure to support this for the general metric space. The goal of this work is lay the foundation for such an infrastructure, which could be integrated into classical data base management systems. After some analysis of the state of the art the M-Tree is identified as most suitable base and enhanced in multiple ways to the EM-Tree retaining structural compatibility. The query algorithms are optimized to reduce the number of necessary distance calculations. On the basis of a mathematical analysis of the relation between the tree structure and the query performance degrees of freedom in the tree edit algorithms are used to build trees optimized for answering similarity queries using a minimal number of distance calculations.