MONEY AND EDUCATION: HOW ECONOMIC DISTRIBUTION CORRESPONDS TO ACADEMIC SUCCESS

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A Catalyst for Culture: Early Child Development and Education in Japan

A popular Western perception of Japan is that it is an eminently homogeneous and conformist society. However, both conformity and homogeneity, recognized even by the Japanese themselves, coexist with the concept of individuality, which is valued in a manner unique to its culture. In order to come to a deeper understanding of that dynamic, it is important to comprehend the specifics of child rearing and education within Japanese society. Based in part on the author's observational fieldwork conducted while in Japan in 1994, the thesis explicates the manner in which various core relationships exhibit the socialization of an individual that occurs within the home during a child's first few years. Furthermore, the text incorporates research in both primary and secondary historical materials. The author displays the manner in which educational issues such as the development of the Japanese education system and the dynamics of the elementary years serve to demonstrate the importance of functioning within a group. This is further clarified through an examination of elementary school texts, which also reveal underlying moral messages of profound importance in Japanese society. The seemingly contradictory issues of becoming an individual yet performing as a member of a group are pulled together by the idea that culture provides the guidance by which an individual becomes an active member of society. In Japan, individuality and group conformity are not mutually exclusive. Within the context of Japanese society, individuality is inextricably linked to group orientation.

Machine learning and small robot navigation

Developing successful navigation and mapping strategies is an essential part of autonomous robot research. However, hardware limitations often make for inaccurate systems. This project serves to investigate efficient alternatives to mapping an environment, by first creating a mobile robot, and then applying machine learning to the robot and controlling systems to increase the robustness of the robot system. My mapping system consists of a semi-autonomous robot drone in communication with a stationary Linux computer system. There are learning systems running on both the robot and the more powerful Linux system. The first stage of this project was devoted to designing and building an inexpensive robot. Utilizing my prior experience from independent studies in robotics, I designed a small mobile robot that was well suited for simple navigation and mapping research. When the major components of the robot base were designed, I began to implement my design. This involved physically constructing the base of the robot, as well as researching and acquiring components such as sensors. Implementing the more complex sensors became a time-consuming task, involving much research and assistance from a variety of sources. A concurrent stage of the project involved researching and experimenting with different types of machine learning systems. I finally settled on using neural networks as the machine learning system to incorporate into my project. Neural nets can be thought of as a structure of interconnected nodes, through which information filters. The type of neural net that I chose to use is a type that requires a known set of data that serves to train the net to produce the desired output. Neural nets are particularly well suited for use with robotic systems as they can handle cases that lie at the extreme edges of the training set, such as may be produced by "noisy" sensor data. Through experimenting with available neural net code, I became familiar with the code and its function, and modified it to be more generic and reusable for multiple applications of neural nets.

Money and Education: How Economic Distribution Corresponds to Academic Success

Urban sprawl is a significant issue in the United States, one effect of which is the departure of the wealth from cities. This study examined the distribution of wealth in Erie County, New York, focused around Buffalo. The question is then raised, why do those with the money leave the city, and to where do they go? While this study does not attempt to explain all of the reasons, it does examine two significant issues: quality of public school education, and proximity to main highways with easy access to the city. Using ArcGIS, I was able to place the public high schools and their relative ranking over a distribution of per capita income. The results of this analysis show that the wealthiest areas are located within the best school districts. Moreover, the areas where the wealth accumulates are directly connected by major highways.