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Although today’s users of mobile phones are afforded increasing control as the popularity and richness of information provided by smartphones increases, how these users make choices and evaluations cannot be explicitly expressed. This study uses an acute observation of designers of technology and aesthetics to conduct a mental-model analysis of smartphones with the purpose of explicitly identifying the differences in the schemas of users. This study also modifies the mental model to evaluate the practicability of the mental model. Hence, this study investigates groups of subjects, comparing freshmen and graduating students froma college of design, and adopts a schematized data collection and analysis approach, Interactive Qualitative Analysis (IQA), to ascertain the relationships between factors and establish a complete user mental model. The study results present 11 primary affinity factors: “Pricing,” “Advertisement,” “User Interface,” “Innovation Functions,” “System Maintenance,” “Privacy,” “Utility Functions,” “Personalization,” “Network Performance,” “Customer Service,” and “Multimedia Contents.” The primary driver in evaluating smartphones is found to be “Pricing” for graduating students and “Privacy” for freshmen. The two groups share the same final effect factor, “Multimedia Contents.” This study has successfully identified differences between the different mental models of the two groups, supporting the method that using IQA to perform a quality evaluation of social networking for smartphones is effective. Consequently, platform developers can understand user demand through a mental model and can design good platform functions to effectively improve users’ experience of smartphones.

Mobile augmented reality (MAR) is an increasingly popular technology for enhancing how students interact with and learn about the cultural environment and cultural objects in the physical world. Sometime the learning effect is influenced by the delighted value, which is always subjective and learning—driven. In order to ensure successful launch the mobile augment reality of cultural interactive learning tool, it is extremely important to predict the delighted value of design alternatives systematically based on the common language understood by both students and designers. However, the framework for communicating and evaluating such value from interested perspective is not available in the literature. Therefore, the objective of this research is to extract key frameworks of delighted value from interested perspective and develop an effective algorithm to evaluate MAR cultural learning system. First, through literature review and the interview of participants, many scenarios of learning influence were collected. A focus group was invited to identify the essential elements that influence the delighted value of MAR cultural learning system. Followed by a large scale questionnaire survey and factor analysis, four frameworks were extracted. These frameworks, name as CARE framework in brief, included communication, association, reflection, and engagement. Second, the perception differences of MAR cultural learning paper prototypes were conducted to verify the validity of CARE framework for comparative studied. The findings of this study demonstrated that CARE framework was effective for solution designing in MAR cultural interactive learning tool.

In recent years, the 2.5D IC (Integrated Circuit) package with TSV (Through Silicon Vias) has become important for high-bandwidth and high-performance applications. It is well known that 2.5D technology requires significant innovation in the areas of process technology, packaging, design, thermals, and test solutions leading to several hundred new technologies in a single product. With these complex material sets and process steps combined with new design requirements, methods, and components, a significant amount of research and engineering development is required to bring a successful product to market. After an 8 year development, in July of 2015 AMD reported it began shipment of a new generation of AMD Radeon Fury graphics cards, based on the development of the "Fiji" GPU and the first generation of High Bandwidth Memory (HBM1). This announcement is the next major step in an era for 2.5D IC package technology which will be used in a wide variety of applications. Given the scope of this undertaking many collaborations were required. This paper provides an overview of the collaboration between AMD and ASE. It chronicles the work from initial proof of concept to technology feasibility to product development to production ramp and ultimately high volume production. Details of several functional prototypes are outlined including warpage characterization, stress reduction, materials selection methodologies, and the use of finite element analysis (FEA) and advanced Warpage Metrology Analyzer (WMA) for optimization. The result is a reliable 2.5D process flow with >99% assembly yield for a 1011mm2 interposer with 5 dies attached in a 300+W 55x55mm2 package.

Simulation is a widely used approach for assisting design and improvement of manufacturing systems. It is a complex activity and needs a great deal of human expertise. Since the knowledge of analyzing simulation output for decision making is not inherently captured in the simulation modeling methodology, a framework that integrates simulation and knowledge-based decision analysis is needed. In this paper, we develop a knowledge-based system that cooperates with simulation for improving the performance of manufacturing cells. Using Axiomatic Design as a guideline, a hierarchical knowledge base structure that corresponds to the decision process is built. Our proposed knowledge-based system consists of a set of facts and three levels of rules in a hierarchy that is consistent with the manufacturing cell system configuration. The system demonstrates the effectiveness of utilizing Axiomatic Design concept when developing a knowledge-based system. The results of an industrial study show that our method contributes to improving the performance of manufacturing cells.

We present new temperature sensing devices based on side-polished Fiber Bragg Gratings (FBGs) coated with TiO 2 , Fe and Pd thin films. The temperature sensing mechanism was based on the wavelength shift of the returned Bragg signal, as measured by an optical spectrum analyzer (OSA). The Bragg grating wavelength shift of the reflected optical signal is a function of the environmental temperature, which is related to the difference in the coefficient of thermal expansion (CTE) between thin films and SMF-28 fiber. The D-shaped FBG temperature sensors are measured in the range of 27–118.5°C. The experimental results show that the temperature sensitivity of the D-shaped FBG can be improved when it is coated with a material that has a high CTE. For the proposed temperature sensors using thin films coated on the D-shaped FBG fiber, the sensitivity of 12.2 pm/oC for the D-shaped FBG sensor with Pd coating is higher than that without coating.

Increasing capacity of connected wind power generation to utilities brings new opportunities and also problems to the utilities and customers. Evolution and analyzing of the connection conditions and effects of wind farms especially on remote areas are the main aspects of developing wind power on the utilities, because the impact will be more serious. The problem is that these wind turbine that mostly uses induction generators, tend to drain large amounts of VArs from the grid, potentially causing low voltage and maybe voltage stability problems for the utility owner, especially in the case of large load variation on distribution feeder. Focus on researching and discussing the impact ahead of time, and find the way out to supply higher power quality, this paper chooses Matlab/Simulink as analyzing tool, and uses SCIG model of asynchronous generator and a 33-bus distribution system of Tai-Power Company for simulation. Case study includes choosing different connected location and installed capacity of wind generators (WGs) and adopting fixed capacitors, SVC and STATCOM, respectively, for compensation to observe the influence on the moment of the wind generator connected and the period of the wind speed variation. Finally, from the simulation results, some discussions and suggestions are proposed for utilities in this paper.

Ecology education is an important issue nowadays. But not everyone has equal opportunities to learn relevant topics through direct access to the great nature. In such a case, the platform of Web becomes the potential channel for people to learn ecological topics. Therefore, the key to success is to enhance the platform so that the performance is close to that of experiencing the great nature in person. In this study, expert interview was first conducted. The participants pointed out the differences in information architectures, atmosphere styles, the differences in learners' backgrounds were important factors needed to be considered while designing such a system. Therefore, several experiment websites were constructed based on different atmosphere styles. The results revealed that there were significant differences in browsing behaviors and the usability of websites between people from rural and urban. Websites with breadth architecture and natural atmosphere could reduce user's pressure and perceived workload.