85 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.
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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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
Automated taxonomy discovery and exploration
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Previous issue date: 2021-12-02Embargo set by: Seth Robbins for item 123360
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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
Ji ben li zi wu li xue de yan jiu
No full textTsui, Ka Ming = 基本粒子物理學的研究 / 徐嘉明.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 150-157).Abstracts also in Chinese.Title from PDF title page (viewed on 03, January, 2017).Tsui, Ka Ming = Ji ben li zi wu li xue de yan jiu / Xu Jiaming
Qi Jiguang jun shi ge ming zhi kao cha
No full text本文擬以西方「軍事革命」理論的角度，探討萬曆朝鮮戰爭時期，明軍薊鎮部隊的作戰表現。戚繼光「軍事革命」獨特之處在於，除訓練單兵作戰技巧外，亦重視部隊戰術隊型、協同作戰及指揮系統。從對抗倭寇時的步兵鴛鴦陣開始，至薊鎮抗虜時發展出步兵、騎兵、車兵、炮兵的協同作戰，是戚繼光「軍事革命」的主要元素。「戚家軍」戰鬥力之強勁，即根源於此。得益於戚繼光「軍事革命」的薊鎮部隊，是當時被成為「南兵」的主要部隊之一，在朝鮮戰場上更大放異彩，作戰表現遠勝明軍中的北兵。This thesis studies the performance of the Jizhen(薊鎮) Army during the Korean War (1592-1598) from the perspective of the "Military Revolution" theory. It argues that the Qi Jigunag revolutionized the training of the Ming army by focusing more on tactical formation, on coordination among different forces, on improving the commanding system, and also on more practical and united training of soldiers. As a result, the Ming army from Jizhen, also known as "the Southern Army", trained by the Qi Jiguang model, excelled in the Korean theatre by their military prowess and their good discipline and distinguished themselves from the more unruly and less competent Ming forces from the Northeast.Detailed summary in vernacular field only.葉家銘.Parallel title from English abstract.Thesis (M.Phil.) Chinese University of Hong Kong, 2015.Includes bibliographical references (leaves 95-99).Abstracts also in English.Ye Jiaming
End-to-End Federated Diffusion Generative Models for Tabular Data
No full textTabular data is widely used in various fields and applications, making the synthesis of such data an active area of research. One important aspect of this research is the development of methods for privacy-preserving data synthesis, which aims to generate synthetic data that retains statistical properties while protecting the privacy of individuals in the dataset. Recently, Diffusion Generative Models, such as Gaussian Diffusion Model, have significantly improved image synthesis, but their effectiveness in synthesizing tables is limited, because of using One-Hot encoding for representing categorical attributes with many categories. Furthermore, it needs the private data to be centrally collected for training, thus violating the privacy-preserving criteria. In this paper, we propose a new decentralized tabular synthesizing framework, which has three key features: (i) a decentralized Autoencoder comprised of an encoder and a decoder to map discrete features into the continuous space and back, (ii) a tabular diffusion model trained in a decentralized manner and (iii) incorporating differential privacy on central stochastic gradient training. We conduct extensive experimental studies that focus on sampling quality and diversity, using 9 tabular datasets and 4 state-of-the-art synthesizers. The results show that our method outperforms existing central methods by 10.7% and 31.4% in data quality and diversity on average, and 6.8% and 21.1% in data quality and diversity in scenarios facing non-IID data.Computer Scienc
The feasibility study based on e-commerce instructions–focuses on detection and deletion of illegal content
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