626 research outputs found
On Factors Affecting Industrial Development Growth RatesâA Discussion with Comrade Zhu Jiaming
No full textIn the past few months, the unabating high rate of industrial development has, in an acute fashion, presented to theoretical circles the question of how to view the current high growth rate. In his article published in the second issue of the >i>Forum of Young Economists>/i>, Comrade Zhu Jiaming declares that China "already has the preliminary material preconditions for high-speed growth," and that "since 1978, some indexes of economic growth have shown that the period of high-speed growth has already come." This author, however, holds that the problem cannot be explained by looking only at indexes of a few years, and that in order to determine whether or not China has entered a period of high-speed growth, it is necessary to analyze the factors that affect the rate of industrial development and the trend of their changes. The present article is written to invite comments and corrections by Comrade Zhu Jiaming and others.
Jiaming Liang, piano
No full textProgram for recital offered in partial fulfillment of the requirements for the degree of Master of Music
Ruha Sunghyun Lee, soprano
No full textProgram for recital offered in partial fulfillment of the requirements for the degree of Master of Music. With Yang Gao, piano; Dimitri Wang, horn; Jiaming Liang, piano
Dimitri Wang, horn
No full textProgram for recital offered in partial fulfillment of the requirements for the degree of Master of Music. With Jiaming Liang, piano; Tzu-Yu Chen, piano; Ruha Sunghyun Lee, soprano; Bryan Bennett, horn; Joey Li, horn; Michael Rising, horn; Simon Yang, horn
AdaptFormer: An Adaptive Hierarchical Semantic Approach for Change Detection on Remote Sensing Images
No full textChange detection (CD) in remote sensing (RS) aims
to consistently track alterations in specific regions over time.
While current methods employ hierarchical architectures to
analyze semantic details, they often miss crucial changes across
different semantic levels, resulting in partial representations of
environmental shifts. Addressing this, we propose AdaptFormer,
uniquely designed to adaptively interpret hierarchical semantics.
Instead of a one-size-fits-all approach, it strategizes differently
across three semantic depths: employing straightforward
operations for shallow semantics, assimilating spatial data for
medium semantics to emphasize detailed interregional changes,
and integrating cascaded depthwise attention for in-depth semantics,
focusing on high-level representations. The experimental
evaluations reveal that AdaptFormer surpasses many leading
benchmarks, showcasing exceptional accuracy on LEVIR-CD
and DSIFN-CD datasets. AdaptFormer showcases impressive
performance with F1 and intersection over union (IoU) scores
of 92.65% and 86.31% on the LEVIR-CD dataset, and 97.59%
and 95.29% on the DSIFN-CD dataset, respectively. The datasets
are available at https://github.com/aigzhusmart/AdaptFormer
Illi Racecar: A small-scale platform for autonomous driving
No full textThis thesis proposes a safety-critical 1/10 scale autonomous driving platform called Illi Racecar. Sensors, including three cameras, A laser scanner, an inertial measurement unit (IMU), two encoders, and an E-stop button, were installed on the platform for environmental perception. Three levels of computer module were equipped for data processing and control. A servo motor and a DC motor with the Ackermann steering chassis were utilized for motion control. A self-designed PCB board was placed on the vehicle supporting the electronic system. The Illi Racecar was built based on a Real-Time Operating System (RTOS) with a high-low level controller framework. The new generation of Robot Operating System, ROS2, was installed on the main computer station with its real-time features to ensure the platform's reliability. A real-time Drive-by-Wire (DBW) control module with an industry-standard Controller Area Network (CAN) bus was implemented to replace the less reliable ROS serial communication interface. Based on the parameter of the Illi Racecar, two geometric path trackers, namely the Pure pursuit controller and the Stanley controller were simulated using Simulink. After the low-level control programming and sensing system calibration of the platform, real car tests were conducted based on the parameters tuned by the simulation. The program for the real car test was also built in Simulink and generated into C for faster development. After comparing the simulation results and the real car evaluation of different controllers, several factors that influenced the results were determined. The Illi Racecar was the first application of ROS2 on a 1/10 scale Ackermann steering platform and in using Simulink modeling for rapid control system prototyping.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-08-01The student, Jiaming Zhang, accepted the attached license on 2021-07-21 at 14:19.The student, Jiaming Zhang, submitted this Thesis for approval on 2021-07-21 at 14:25.This Thesis was approved for publication on 2021-07-22 at 14:45.DSpace SAF Submission Ingestion Package generated from Vireo submission #17038 on 2022-01-12 at 12:55:33Made available in DSpace on 2022-01-12T22:35:20Z (GMT). No. of bitstreams: 2
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Previous issue date: 2021-07-22Embargo set by: Seth Robbins for item 121147
Lift date: 2024-01-12T22:35:30Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Integrated optimization method for plastic injection molding
No full textThis thesis presents a integrated optimization method to find the optimized operational parameters in Plastic Injection Molding (PIM), such as flow rate, melt temperature, mold temperature, pressure holding time and packing pressure that will minimize the shrinkage under the constraints of injection pressure and cooling time. Design of Experiments (DOE) is used to reduce the computational cost for simulations. Furthermore, the possibility value (P-value) is adopted to identify the significant factors among all design variables with respect to each functions. Monotonicity Analysis is then employed to detect the active constraints and to reduce the complexity of the original optimization problem so that the problem can be easily solved by a simple regression. Finally, the responses obtained by the simulation with the optimized operational parameters are used to validate our solutions. Two design examples are presented in this paper. For both examples, twenty-five initial samples are evaluated using Solidworks Plastic based on the orthogonal array from the DOE with five variables. There are two constraints on injection pressure and cooling time. P-value shows that packing pressure is not a significant factor for shrinkage and two constraints in both examples, then it can be moved out in later optimization. The exact value of flow rate and pressure holding time can be found out by Monotonicity Analysis. Finally, by solving the regression equations with melt temperature and mold temperature, the optimal parameters combination will be solved. Using the optimized parameters in simulation, the shrinkage for first example and second example are 0.3988mm and 0.0768mm, both of the shrinkage results are smaller than that in initial samples which can satisfy the constraints.M.S.Includes bibliographical referencesby Jiaming L
Design and construction of the ReciPlyDome, a lightweight modular reciprocal dome
No full textIn the event sector, where there is a search for architectural constructions with an innovative morphology, reuse is key to strive towards more sustainable events. Designing modular structures and detailing them for easy disassembly and re-assembly is an ideal way to encourage and facilitate reuse. This way a longer lifespan is assured for the used components. However, temporary (event) structures are often hard to assemble, which can compromise their reusability. The difficulties of assembly are usually induced by the morphology of the modules or by using certain types of connections. Therefore these structures require optimization in terms of assembly while remaining resource efficient. The main objective of this research is to reimagine a developed structure, the ReciPlyDome, and optimize it in terms of assembly. The ReciPlyDome is a reciprocal dome structure based on a rhombic triacontahedron, whereby all elements are identical (except for the five elements that touch the ground). During the assembly phase of the first version of the ReciPlyDome, torsion in the components appeared to hinder efficient construction. To eliminate this, the dome was reviewed, which led to the development of a new connection system and an improved shape for the beams. A new full-scale version of the dome has been built, showing the positive effect of the improved connection system and the optimised beam position. In-situ measurements were made after construction, illustrating good correspondence between the digital and built model. Further research will focus on the covering of this modular reciprocal dome for outdoor use.Architectural Technolog
Neon-valojen tuolla puolen: Night Cityn kaupunkitutkimus (videopelistä Cyberpunk 2077)
No full textCyberpunk 2077 is one of the most noteworthy video games produced in the 21st century, particularly in its creation of the metropolis-like urban landscape, Night City. This digital realm serves as a cautionary tale of unchecked corporate power and technological overreach, where the urban environment mirrors a dystopian future. The goal of this thesis is to investigate the facets of the city’s architectural and spatial organizations, at how different spaces reinforce and subvert the oppressive conditions; to analyze how the built environment can both exasperate and relieve the mental toll of living in a cyberpunk dystopia.
This thesis explores the complex relationships between architecture, space, power and resistance within Night City. By adopting the perspective of a street-level observer, the thesis examines how the city’s urban design portrays oppressive spaces as well as non-oppressive spaces. Through a critical analysis of oppressive spaces, as exemplified by the city's imposing architecture, overwhelming scale, and limited public realm, the thesis illuminates how these elements contribute to a sense of alienation and control.
In contrast, the research also focuses on identifying and analyzing the linkage between potential counter-spaces to this oppression, and heterotopias. Drawing on the work of Michel Foucault, the study investigates how these alternative spaces challenge dominant power structures and offer opportunities for agency and community formation. By examining the physical characteristics, social dynamics, and cultural significance of heterotopias, the thesis argues that at least in the world of Night City, heterotopic sites do not properly function as counter-spaces, but they nevertheless are essential in providing Night City with spaces that alleviate from the atmosphere of oppression.
The thesis concludes that while heterotopias may not function as counter-spaces in Night City, this is attributed to the power dynamics of the city itself which by the point of the author playing the game, has hyper-escalated to an insurmountable point. Heterotopias in the Night City setting are shown to correlate with a positive production of space that centers around a human element as opposed to the dominant urbanity that is designed around a corporate element. Heterotopias are shown to be romanticized places, and passive escapes. Ultimately, Night City is an environment that has already been devoured by oppressive architecture. To an urban designer, this case study outlines what to avoid and the potentials of enabling heterotopias to occur.Cyberpunk 2077, on, ilman epäilyksiä, yksi varteenotettavimmista videopeleistä joita on tuotettu viime vuosina, varsinkin ottaen huomioon sen jättimäisen kaupunkiympäristön, Night Cityn. Tämä virtuaaliympäristö on luotu muistuttamaan pelaajia ei-hallitun kaupallistumisen ja siihen liittyvän vallan keskittymisen ankarista seurauksista kaupunkikuvaan sekä tilakokemuksiin. Tämän diplomityön päämäärä on tutkia tätä dystooppista ympäristöä, ja miten eri kaupunkisuunnitteelliset ratkaisut saattavat joko pahentaa tai lieventää urbaanissa dystopiassa elämisen henkisiä taakkoja.
Tämä maisterityö kuvaa monimutkaista asetelmaa ja suhdetta, joka vallitsee arkkitehtuurin, tilan, vallan ja vastaäänien välillä. Tutkimalla kaupunkia jalankulkijan näkökulmasta saavutetaan yhtaikaa näkemyksiä oppressivisiin sorron tiloihin, sekä harvinaisesti ei-sortaviin tiloihin. Kriittisen silmän kautta, joka puhkaisee Night Cityn liian korkeat kerrosalat, ahtaat ja sekavat kadut, ja hyvien julkisten tilojen puuteen, saavutetaan kokonaisvaltainen kuva kaupungista, joka pyrkii eristämään asukkinsa ja kaikin tavoin kiristämään otettaan sen sosiaalisesta miljööstä.
Toisessa mielessä, teesi myös käsittelee mahdollisten vastatilojen yhdistämistä heterotopian käsitteeseen. Hyödyntäen Michel Foucaultia keskeisenä lähteenä, työni pohtii miten nämä erikoiset paikat voivat haastaa vallitsevia valtarakenteita, ja voimaannuttaa kaupunkilaisia ja tarjota heille mahdollisuuksia yhteisön luomiseen. Tukimalla niiden fyysisiä ominaisuuksia, sosiaalista rakennetta sekä kulttuurillista vaikutusta fiktiomaailman sisällä, havahdumme siihen että heterotopiat eivät ole kovin efektiivisiä suorien vastatilojen tuojina. Ne siitä huolimatta toimivat paikkoina jotka hellittävät sortovallan otteesta, vaikkakin asettumatta suoraan oppressiota vastaan.
Johtopäätöksissä todetaan, että vaikka heterotopiat eivät luo oikeita vastatiloja, se kohtuu peräti kaupungin hyperkiihdyttyneestä dystopiakontekstista. Siinä vaiheessa, kun Night Cityn oireet ovat jo tässä pisteessä, ovat sorron tunne-elämykset jo päihittämättömiä. Verrattuna vallitsevaan arkkitehtuuriin, joka on kauppa-ja jättiyrityspainotteista, heterotooppiset paikat keskittyvät pienempään ihmiselementtiin, joka mahdollistaa ainakin joidenkin positiivisten paikkojen luonnin liki toivottomassa ympäristössä. Vaikkakin Night City on loppujen lopuksi jo hukkunut oman sortonsa alle, heterotopioissa todistetaan arvoa urbaanina konseptina niiden potentiaaleissa aikaansaada haikeita ja eskapistisiä tiloja. Tämän työn arvo kaupunkisuunnittelijalle piilee sorron suunnitteluilmiöiden alleviivaamisessa, sekä heterotooppisten paikkojen kehitysmahdollistamisen korostamisessa
Automated taxonomy discovery and exploration
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Previous issue date: 2021-12-02Embargo set by: Seth Robbins for item 123360
Lift date: 2024-04-29T21:46:25Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 123360
Lift date: 2024-04-29T21:47:53Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I OnlySubmission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01The student, Jiaming Shen, accepted the attached license on 2021-12-02 at 09:21.The student, Jiaming Shen, submitted this Dissertation for approval on 2021-12-02 at 09:23.This Dissertation was approved for publication on 2021-12-02 at 11:28.DSpace SAF Submission Ingestion Package generated from Vireo submission #17342 on 2022-04-06 at 17:17:40In an era of information explosion, people are inundated with vast amounts of text data. Every day, there are thousands of scientific papers, tens of thousands of news articles, corporate reports, and millions of social media posts produced and shared worldwide. Turning those massive text data into actionable knowledge is an essential research issue in data science and lays the foundation for realizing machine intelligence.
The goal of my research is to unleash hidden knowledge buried in unstructured text. To bring this vision to reality, I propose to first structure raw text using taxonomies and then analyze structured text in a more fine-grained and semantic way. Due to the diversity of application scenarios, different corpora or different use cases may call for different taxonomies. For example, one analyst aiming to find experts in different scientific areas may want a field-of-study taxonomy, while another analyst who studies the technology readiness may call for a taxonomy capturing technology dependencies. Moreover, even within one taxonomy, we also enable users to organize concepts at their will, such as with different levels containing concepts of different categories. For instance, in a computer science taxonomy, top levels could be about the field of studies, intermediate levels may discuss research tasks, and the bottom levels can cover evaluation metrics. Asking human experts to manually curate those taxonomies, one for every possible application, is time-consuming, costly, and unscalable. Therefore, we propose to automatically discover and explore taxonomies based on the datasets and applications, with critical but minimal human guidance.
This thesis outlines a data-driven approach that automatically constructs, enriches, and applies taxonomies for unleashing knowledge from massive unstructured text. Particularly, we investigate four areas of research, including:
(1) Identifying Concept Sets. To obtain concept nodes in the taxonomy, we first develop a collection of concept set expansion methods [1, 2] to extract concepts from text corpora by expanding a small set of seed concepts into a complete list of concepts that belong to the same semantic class.
(2) Recognizing Taxonomic Relations. To organize the above-identified concepts into a hierarchical structure, we propose a set of taxonomy construction methods [3, 4] to discover taxonomic relations among concepts by analyzing example relation instances (i.e., concept pairs indicating the target relation semantics) and utilizing distant supervision from existing, open-domain knowledge bases.
(3) Enriching Existing Taxonomies. As human knowledge is constantly growing, a static taxonomy may fail to capture emerging user needs. Thus, a taxonomy enrichment step would be essential to keep our taxonomies up-to-date in real-world applications. We facilitate this process by expanding the taxonomy to incorporate new concepts [5, 6, 7].
(4) Empowering Knowledge-centric Applications. After an up-to-date taxonomy is obtained, we develop principled methods to distill knowledge from taxonomies for downstream applications such as text categorization [8, 9] and intelligent literature search [10, 11].
Finally, we explore how to incorporate event knowledge into the taxonomy by automatically detecting event types from a given corpus. Together, these pieces constitute an integrated framework for leveraging taxonomies to convert massive text data into actionable knowledge
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