Consumer-citizens of China : the role of foreign brands in the imagined future China

This book presents a comprehensive examination of Chinese consumer behaviour and challenges the previously dichotomous interpretation of the consumption of Western and non-Western brands in China.

Real-time detection of parked vehicles from multiple image streams

We present a system to detect parked vehicles in a typical commercial parking complex using multiple streams of images captured through IP connected devices. Compared to traditional object detection techniques and machine learning methods, our approach is significantly faster in detection speed in the presence of multiple image streams. It is also capable of comparable accuracy when put to test against existing methods. And this is achieved without the need to train the system that machine learning methods require. Our approach uses a combination of psychological insights obtained from human detection and an algorithm replicating the outcomes of a SVM learner but without the noise that compromises accuracy in the normal learning process. The result is faster detection with comparable accuracy. Our experiments on images captured from a local test site shows very promising results for an implementation that is not only effective and low cost but also opens doors to new parking applications when combined with other technologies.

Adaptive cruise control look-ahead system for energy management of vehicles

Cruise control in motor vehicles enhances safe and efficient driving by maintaining a constant speed at a preset level. Adaptive Cruise Control (ACC) is the latest development in cruise control. It controls engine throttle position and braking to maintain a safe distance behind a vehicle in front by responding to the speed of this vehicle, thus providing a safer and more relaxing driving environment. ACC can be further developed by including the look-ahead method of predicting environmental factors such as wind speed and road slope. The conventional analytical control methods for adaptive cruise control can generate good results; however they are difficult to design and computationally expensive. In order to achieve a robust, less computationally expensive, and at the same time more natural human-like speed control, intelligent control techniques can be used. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) based on ACC systems that reduces the energy consumption of the vehicle and improves its efficiency. The Adaptive Cruise Control Look-Ahead (ACC-LA) system works as follows: It calculates the energy consumption of the vehicle under combined dynamic loads like wind drag, slope, kinetic energy and rolling friction using road data, and it includes a look-ahead strategy to predict the future road slope. The cruise control system adaptively controls the vehicle speed based on the preset speed and the predicted future slope information. By using the ANFIS method, the ACC-LA is made adaptive under different road conditions (slope angle and wind direction and speed). The vehicle was tested using the adaptive cruise control look-ahead energy management system, the results compared with the vehicle running the same test but without the adaptive cruise control look-ahead energy management system. The evaluation outcome indicates that the vehicle speed was efficiently controlled through the look-ahead methodology based upon the driving cycle, and that the average fuel consumption was reduced by 3%.

Direct method for optimal power management in hybrid electric vehicles

Hybrid electric vehicles are powered by an electric system and an internal combustion engine. The components of a hybrid electric vehicle need to be coordinated in an optimal manner to deliver the desired performance. This paper presents an approach based on direct method for optimal power management in hybrid electric vehicles with inequality constraints. The approach consists of reducing the optimal control problem to a set of algebraic equations by approximating the state variable which is the energy of electric storage, and the control variable which is the power of fuel consumption. This approximation uses orthogonal functions with unknown coefficients. In addition, the inequality constraints are converted to equal constraints. The advantage of the developed method is that its computational complexity is less than that of dynamic and non-linear programming approaches. Also, to use dynamic or non-linear programming, the problem should be discretized resulting in the loss of optimization accuracy. The propsed method, on the other hand, does not require the discretization of the problem producing more accurate results. An example is solved to demonstrate the accuracy of the proposed approach. The results of Haar wavelets, and Chebyshev and Legendre polynomials are presented and discussed. © 2011 The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.

Effect of noise factors in energy management of series plug-in hybrid electric vehicles

It has been demonstrated that charge depletion (CD) energy management strategies are more efficient choices for energy management of plug-in hybrid electric vehicles (PHEVs). The knowledge of drive cycle as a priori can improve the performance of CD energy management in PHEVs. However, there are many noise factors which affect both drivetrain power demand and vehicle performance even in identical drive cycles. In this research, the effect of each noise factor is investigated by introducing the concept of power cycle instead of drive cycle for a journey. Based on the nature of the noise factors, a practical solution for developing a power-cycle library is introduced. Investigating the predicted power cycle, an energy management strategy is developed which considers the influence of temperature noise factor on engine performance. The effect of different environmental and geographic conditions, driver behavior, aging of battery and other components are considered. Simulation results for a modelled series PHEV similar to GM Volt show that the suggested energy management strategy based on the driver power cycle library improves both vehicle fuel economy and battery health by reducing battery load and temperature.

Foreign correspondence and fixers : the missing link

Colleen Murrell gives a talk for the Reuters Institute seminar series.

Dismantling Baathist Iraq : foreign occupation and cultural destruction

This paper examines the systematic efforts to dismantle or destroy the symbolic dimension of the Baathist regime in Iraq since 2003. It argues that while the Baath were undeniably cruel and oppressive, they did undertake one of the twentieth century’s most robust attempts to utilise the political power of historical memory to create a unified Iraqi national identity. However, while many have examined the militaristic or bureaucratic dimensions of de-Baathification, no such attempts have been made to examine the destruction of the symbols and monuments of the Baathist state and the consequences it has had for Iraqi national identity. This paper addresses this paucity and concludes that with the symbolic destruction of the Baathist state has come a near complete erosion of the Iraqi brand of nationalism that the Baath had managed to promulgate to varying degrees of success since the late 1960s.

Intelligent energy management for plug-in hybrid electric vehicles : the role of ITS infrastructure in vehicle electrification

The desire to reduce carbon emissions due to transportation sources has led over the past decade to the development of new propulsion technologies, focused on vehicle electrification (including hybrid, plug-in hybrid and battery electric vehicles). These propulsion technologies, along with advances in telecommunication and computing power, have the potential of making passenger and commercial vehicles more energy efficient and environment friendly. In particular, energy management algorithms are an integral part of plug-in vehicles and are very important for achieving the performance benefits. The optimal performance of energy management algorithms depends strongly on the ability to forecast energy demand from the vehicle. Information available about environment (temperature, humidity, wind, road grade, etc.) and traffic (traffic density, traffic lights, etc.), is very important in operating a vehicle at optimal efficiency. This article outlines some current technologies that can help achieving this optimum efficiency goal. In addition to information available from telematic and geographical information systems, knowledge of projected vehicle charging demand on the power grid is necessary to build an intelligent energy management controller for future plug-in hybrid and electric vehicles. The impact of charging millions of vehicles from the power grid could be significant, in the form of increased loading of power plants, transmission and distribution lines, emissions and economics (information are given and discussed for the US case). Therefore, this effect should be considered in an intelligent way by controlling/scheduling the charging through a communication based distributed control.

Foreign direct investment in the Asia-Pacific region : overview of recent trends and patterns

APEC represents the world's most powerful economies. Although much trade related research has been undertaken on APEC countries, investment in the region is still not well understood. This paper provides an overview of FDI of selected APEC economies. Three main themes emerge from this review. First, APEC economies have experienced phenomenal growth in FDI over the last twenty years although such growth is uneven among countries. Second, FDI appears to shift from the primary sector into the manufacturing and tertiary sectors of the economy as economies grow further. Thus, future FDI in APEC economies will likely be relatively higher in the tertiary sector as the poorer members of APEC continue to grow. Third, FDI is found to contribute positively to economic growth in all economies considered although results show that FDI in the tertiary sector generally leads to higher economic growth.

Impacts of currency fluctuations on Japanese foreign direct investment

The Japanese currency has appreciated substantially against most other currencies over the last two decades. During the same time Japan has become one of the world's largest providers of FDI. Japan's share of total FDI outflows increased from about 6 percent during the late 70's to 21 percent in 1990 while its share of the total stock of FDI in the world increased from less than 1 percent in 1960 to more than 13 percent in 1993. Not surprisingly, Japan's role in international business in general and its FDI activities, in particular, have attracted considerable attention from researchers world wide. However, much of this attention has been directed towards the patterns and determinants of Japanese foreign direct investment, in particular to the United States. The impact of changes in the value of the Yen on Japanese FDI has been largely overlooked. Thus, this paper fills an important gap in the literature by focusing on the influence of changes of the exchange rate on Japanese foreign direct investment. A comprehensive simultaneous equa-tion model of Japanese FDI is developed on a regional level to gauge the extent to which currency fluctuations affect Japanese FDI activities. The results suggest that the exchange rate is an effective mechanism through which to influence FDI. Thus, the exchange rate should not be overlooked by the World Trade Organisation in its efforts to further liberalise investment through the Multilateral Agreement on Investment.