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This paper examines the cross-Strait relationship from the theoretical perspective of Joseph S. Nye Jr.’s soft power. It begins with a discussion of China’s grand soft power strategy throughout the global community highlighting the use of three resources of soft power: culture, political values and foreign policies. This paper then transitions into a more specific study of the cross-Strait relationship examining the evolution of Jiang Zemin’s hard power approach to Hu Jintao’s soft power approach. This paper argues, as reflected in opinion polls, Hu Jintao’s new soft power strategy has already had an impact on the Taiwanese public’s perception of China. Taiwanese today, have a significantly more positive perception of China than they did during Jiang Zemin’s era. Furthermore, Hu Jintao’s pragmatic strategy seems to be effective in deterring Taiwanese independence.

Embedded systems based on FPGAs frequently incorporate soft processors. The prevalence of soft processors in embedded systems is due to their flexibility and adaptability to the application. However, soft processors provide moderate performance compared to hard cores and custom logic, hence faster performing soft processors are desirable. Many soft processor architectures have been studied in the past including Vector processors and VLIWs. These architectures focus on regular applications in which it is possible to extract data and/or instruction level parallelism offline. However, applications with irregular parallelism only benefit marginally from such architectures. Targeting such applications, we investigate superscalar, out-of-order, and Runahead execution on FPGAs. Although these architectures have been investigated in the ASIC world, they have not been studied thoroughly for FPGA implementations. We start by investigating the challenges of implementing a typical inorder pipeline on FPGAs and propose effective solutions to shorten the processor critical path. We then show that superscalar processing is undesirable on FPGAs as it leads to low clock frequency and high area cost due to wide datapaths. Accordingly, we focus on investigating and proposing FPGA-friendly OoO and Runahead soft processors. We propose FPGA-friendly alternatives for various mechanisms and components used in OoO execution. We introduce CFC, a novel copy-free checkpointing which exploits FPGA block RAMs for fast and dense storage. Using CFC, we propose an FPGA-friendly register renamer and investigate the design and implementation of instruction schedulers on FPGAs. We then investigate Runahead execution and introduce NCOR, an FPGA-friendly non-blocking cache tailored for FPGAs. NCOR removes CAM-based structures used in conventional designs and achieves the high clock frequency of 278 MHz. Finally, we introduce SPREX, a complete Runahead soft core incorporating CFC and NCOR. Compared to Nios~II, SPREX provides as much as 38% higher performance for applications with irregular data-level parallelism with minimal area overhead.

When people interact with each other, they not only listen to what the other says, they react to facial expressions, gaze direction, and head movement. Human-computer interaction would be enhanced in a friendly and non-intrusive way if computers could understand and respond to users’ body language in the same way. This thesis aims to investigate new methods for human computer interaction by combining information from the body language of the head to recognize the emotional and cognitive states. We concentrated on the integration of facial expression, eye gaze and head movement using soft computing techniques. The whole procedure is done in two-stage. The first stage focuses on the extraction of explicit information from the modalities of facial expression, head movement, and eye gaze. In the second stage, all these information are fused by soft computing techniques to infer the implicit emotional states. In this thesis, the frequency of head movement (high frequency movement or low frequency movement) is taken into consideration as well as head nods and head shakes. A very high frequency head movement may show much more arousal and active property than the low frequency head movement which differs on the emotion dimensional space. The head movement frequency is acquired by analyzing the tracking results of the coordinates from the detected nostril points. Eye gaze also plays an important role in emotion detection. An eye gaze detector was proposed to analyze whether the subject's gaze direction was direct or averted. We proposed a geometrical relationship of human organs between nostrils and two pupils to achieve this task. Four parameters are defined according to the changes in angles and the changes in the proportion of length of the four feature points to distinguish avert gaze from direct gaze. The sum of these parameters is considered as an evaluation parameter that can be analyzed to quantify gaze level. The multimodal fusion is done by hybridizing the decision level fusion and the soft computing techniques for classification. This could avoid the disadvantages of the decision level fusion technique, while retaining its advantages of adaptation and flexibility. We introduced fuzzification strategies which can successfully quantify the extracted parameters of each modality into a fuzzified value between 0 and 1. These fuzzified values are the inputs for the fuzzy inference systems which map the fuzzy values into emotional states.

No description available.

The term “soft matter” applies to a variety of physical systems, such as liquids, colloids, polymers, foams, gels, and granular materials. The most fascinating aspect of soft matter lies in the fact that they are not atomic or molecular in nature. They are instead macromolecular aggregates, whose spatial extent lies in the domain 1 nm to 1 ¹m. Some of the most important examples of soft matter are polymers, which exhibit intriguing and useful physical properties. In this work, the adsorption and self assembly of linear and star polymers on smooth surfaces are studied using coarse-grained, bead-springmolecular models and Langevin dynamics computer simulations. The aim is to gain insight on atomic-forcemicroscopy images of polymer films on mica surfaces, adsorbed from dilute solution following a good solvent-to-bad solvent quenching procedure. In the case of linear polymers, under certain experimental conditions, a bimodal cluster distribution is observed. It is demonstrated that this type of distribution can be reproduced in the simulations, and rationalized on the basis of the polymer structures prior to the quench. In addition to providing insight on experimental observations, the simulation results support a number of predicted scaling laws such as the decay of the monomer density as a function of distance from the surface, and the scaling of the filmheight with the strength of the polymer-surface interactions. Star polymers represent a special class of polymers, in which one end of each linear chain is tethered to a small central core to forma single particle. The discovery of these molecules led to the synthesis of a wide range of new materials. Their structures are effectively considered as intermediate between those of colloids and linear polymers. We explore the behaviour of the star polymers (which are like “soft colloids”) in the proximity of a surface, using Langevin dynamics simulations. A number of different measurements such as the height, radius of gyration, and asphericity of adsorbed stars with different number of arms, are shown to provide valuable insights on experimental findings. The simplest soft matter systems consist of spherical, rigid colloidal particles. Examples of such particles are chemically synthesized polystyrene or silica particles. We investigated the neighbour distribution in a two-dimensional polydisperse harddisk fluid, corresponding physically to a colloidal monolayer. The disk diameter distribution was defined by a power-law with the aim of realizing a scale-free nearneighbour network. Scale-free (power-law) behaviour is found in many important networks, for example, in transportation systems, biochemical reactions, scientific and movie-actor collaborations, and sexual contacts. We have provided the first example of a scale-free network in amodel condensed-matter system. Finally, we use genetic algorithms, a method for efficiently searching for minima on energy landscapes, to investigate the ordered equilibrium structures formed by binary mixtures of anisotropic dipolar particles confined on a plane, under the presence of an external magnetic field. The anisotropy of the interparticle forces is controlled by tilting the external magnetic field with respect to the plane. Initially, as the field is tilted the structures are only slightly perturbed, but once the anisotropy exceeds a critical value, completely new structures emerge.

Diese Arbeit behandelt die Beschreibung des Fließens und des Blockierens von granularer Materie. Granulare Materie kann einen Verfestigungsübergang durchlaufen. Dieser wird Jamming genannt und ist maßgeblich durch vorliegende Spannungen sowie die Packungsdichte der Körner, welche das Granulat bilden, bestimmt. Die Rheologie dichter granularer Medien ist zusätzlich zu Spannung und Packungsdichte stark durch Reibung zwischen den Körnern beeinflusst. Wir zeigen mittels numerischer Simulationen und analytischer Betrachtungen, wie Reibung Jamming qualitativ verändert. Reibungsfreies Jamming ist ein kontinuierlicher Phasenübergang mit einem kritischen Punkt bei verschwindender Spannung. Reibungsbehaftetes Jamming ist ein diskontinuierlicher Phasenübergang mit einem kritischen Punkt bei endlicher Spannung. Der kritische Punkt bei endlicher Spannung führt zu bemerkenswertem Verhalten: Oberhalb der kri- tischen Packungsdichte gibt es ein Intervall an Packungsdichten, innerhalb dessen große oder kleine Spannungen zum Fließen führen, mittlere Spannungen hingegen führen zum Blockieren des Mediums. Das Fließverhalten nahe Jamming ist stark durch die Systemgröße beeinflusst: Es gibt eine kritische Systemgröße, oberhalb derer zeitabhängiger Fluss entsteht. Dieser zeitabhängige Fluss wird durch die Ausbildung von großskaligen Strukturen im Spannungsfeld erklärt. Sowohl die großskaligen Strukuren als auch der damit einhergehende zeitabhängige Fluss sind neuartige Phänomene im Fluss von trockenen Granulaten und durch Rei- bung hervorgerufen.

Existing actuators in robotics are noisy, rigid and not very lifelike in their movements. There is a need for actuators in especially limb prosthetics and exoskeletons that are silent, softly moving and preferably operating on low currents. One such solution is the conducting polymers. Textiles are well researched and there is a wide variety of patterning. Even more important is their reproducibility and how easily they are mass-produced. This thesis work combines conducting polymers with textiles to achieve linear textile actuators. The textiles are coated with the conducting polymer Polypyrrole which has the property of volume change, when a voltage is applied and there is a reservoir of ions accessible. The volume change, expansion and contraction, results in a linear actuation. The force and strain are measured while changing different parameters and the results are evaluated in this thesis.

No description available.

Master of Agribusiness / Department of Agricultural Economics / Keith Harris / Iowa State University’s Agricultural Entrepreneurship Initiative (AgEI) was founded in 2005 from a generous gift given by Roger and Connie Underwood of Ames, IA. The original mission for the initiative was to provide undergraduate students at Iowa State University, specifically in the College of Agriculture and Life Sciences (CALS), with practical business development and entrepreneurial experiences essential for their success in future careers and endeavors. A non-conventional case study structure will walk readers through the history of how the AgEI program came to be and introduce them to the present day, while acknowledging tribulations the program has faced along the way. The purpose of this study is to determine wether the addition of soft skills programming will strengthen the value of the program to Iowa State University CALS students and generate actionable ideas on how to do so. Further analysis will ascertain whether enticing additional participation in the program, while maintaining its original entrepreneurial goals, will allow the AgEI program to grow in value and size. Quantitative, as well as qualitative, means of analysis are utilized to understand the students’ needs for soft skills development and identify skills deemed necessary by entrepreneurs to find success in the marketplace. Results indicate that it is advantageous to add a focus in soft skills development for undergraduate students who have an interest in entrepreneurship and small business development. These skills compliment their technical skills nicely when considering all aspects of creating a successful startup business. By implementing soft skills development programming, the AgEI program will be able to produce more well-rounded individuals and enhance their likelihood to successfully start their own businesses.