A morphological analysis of urban structure.

Thesis. 1979. M.Arch.A.S.--Massachusetts Institute of Technology. Dept. of Architecture.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH.Bibliography: leaves 122-124.M.Arch.A.S

Research Into Media Exposure Behaviors of Left-Behind Children in Rural Areas From the Perspective of Media as Substitutes

With the accelerated transition of Chinese society, left-behind children have been an ignored vulnerable group. The media exposure and use behaviors, the media growing environment, and the cultivation of the media literature of the vulnerable group have become an issue of great concern. Based on theoretic knowledge of Communication and Sociology, and combining the research method of questionnaire survey and interview, this paper conducts a field survey of Kaixian County and Yunyang County in Chongqing Municipality. The research focus is on the analysis of the influence of media represented by TV and mobile phone on left-behind children in China’s rural areas, and the exploration of feasible plans to improve children’s media literary.

Basic operations of form-making.

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Architecture, February 1987.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH.Includes bibliographies.Making forms is essentially a matter of arranging things, and arranging things is essentially to establish spatial relations among selected elements. The thesis provides a minimal set of basic operations believed to be sufficient for constructing any given configuration. These basic operations can aggregate to make compound operations handy to designers. Both the basic and the compound operations are called 'arrangement moves'. Two kinds of basic moves are distinguished: the generic moves, which construct only generic relations such as 'connection', 'separation', etc.; and the ordering moves, which are characterized by using virtual 'lines' as references in establishing spatial relations. A physical design is viewed as finding a correct arrangement that satisfies given constraints. Ordering moves are viewed as an operational foundation that makes such exploration of formal arrangement possible. The thesis demonstrates that arrangement moves can describe any individual form by reconstructing it; arrangement moves can also describe any family of forms by formulating rules governing the form family. It is further demonstrated that the basic arrangement moves have inherent properties capable of constructing inference rules for perceiving spatial relations. Based on the fact that arrangement moves can sufficiently construct forms, representing rules of forms, and perceiving spatial relations, it is of particular interest to the development of a computational design system that can do arrangements, know form rules, and can check arrangements against rules.by Ming-Hung Wang.Ph.D

Characterizing the impact of the workload on the value of dynamic resizing in data centers

Energy consumption imposes a significant cost for data centers; yet much of that energy is used to maintain excess service capacity during periods of predictably low load. Resultantly, there has recently been interest in developing designs that allow the service capacity to be dynamically resized to match the current workload. However, there is still much debate about the value of such approaches in real settings. In this paper, we show that the value of dynamic resizing is highly dependent on statistics of the workload process. In particular, both slow time-scale non-stationarities of the workload (e.g., the peak-to-mean ratio) and the fast time-scale stochasticity (e.g., the burstiness of arrivals) play key roles. To illustrate the impact of these factors, we combine optimization-based modeling of the slow time-scale with stochastic modeling of the fast time-scale. Within this framework, we provide both analytic and numerical results characterizing when dynamic resizing does (and does not) provide benefits

Design of Self-Balancing Tracing Bicycle for Smart Car Competition Case Under Engineering Education

Smart car is an academic competition held for cultivating college students\u27 engineering ability in China for 16 years. To improve the performance of smart cars, this study integrates engineering education topics by introducing a smart car system with regard to the selection of key components, design of hardware and circuit boards, processing of sensor signals, as well as assembly, algorithms, and control. After completing this engineering education, students could achieve better results in the academic competition. According to the K model rules of the 16th smart car competition, a self-balancing autonomous tracking bicycle based on steering gear control is designed and developed. A gyroscope is used to detect the posture of the bicycle. It inductively receives the centerline of the track and then combined with the PID control algorithm realizes the autonomous tracking. The whole process from mechanical structure optimization and electronic circuit design to algorithm design, debugging, and competition runs through the CDIO of engineering education, realizing the cultivation of compound engineering innovative abilities

Oxidation-induced Cu coating on steel surface

Abstract. Copper is accumulated in recycled steels and is difficult to be removed during steelmaking processes when steel scrap is used as steel sources. Meanwhile, copper characteristics are of importance both to human beings and to animals and plants. In this paper, integrated copper coating was observed on the surface of copper-containing steels when the steels were heated at around 1150℃. However, the copper was separately scattered in and under the surface rust after heating at 1000℃. The forming mechanisms of copper coating are discussed in detail. By choosing a proper descaling reagent, self-generated oxidation-induced copper coating appeared on the steel surface. The method proposed in this work is environmentally friendly for nontoxic chemicals being used. In addition, this provides a new concept for producing protective composite by oxidizing from the substrate directly and there is no bonding problem

Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement

Existing super-resolution models for pathology images can only work in fixed integer magnifications and have limited performance. Though implicit neural network-based methods have shown promising results in arbitrary-scale super-resolution of natural images, it is not effective to directly apply them in pathology images, because pathology images have special fine-grained image textures different from natural images. To address this challenge, we propose a dual-branch framework with an efficient self-texture enhancement mechanism for arbitrary-scale super-resolution of pathology images. Extensive experiments on two public datasets show that our method outperforms both existing fixed-scale and arbitrary-scale algorithms. To the best of our knowledge, this is the first work to achieve arbitrary-scale super-resolution in the field of pathology images. Codes will be available