A New Model of China-US Big Power Relations： A Symbolic Sign in Foreign Affairs

To cope with the current crisis and tensions full-filled China-US relationship, Chinese President Xi Jinping put forward the concept of building a new model of China-US big power relations, which the US agrees. Yet the new model won a heated discussion. In China this new model was evaluated positively and optimistically, while in the US it was perceived as a strategic challenge or even a threat. In the present article, the author proposes that this new model of China-US big power relations is more like a symbolic sign in foreign affairs rather than a strategic challenge or a threat or an effective and workable mechanism at this moment, and meanwhile analyses this view from diachronic and semiotic perspectives. The analyses reveal that the new model functions as a symbolic sign, signifying to the world that conceptually the two big powers have a good and harmonious relationship.

Power Big Data Fusion Prediction

This paper is a research on the characteristics of power big data. According to the characteristics of ＂large volume＂, ＂species diversity＂, ＂sparse value density＂, ＂fast speed＂ of the power big data, a prediction model of multi-source information fusion for large data is established, the fusion prediction of various parameters of the same object is realized. A combined algorithm of Map Reduce and neural network is used in this paper. Using clustering and nonlinear mapping ability of neural network, it can effectively solve the problem of nonlinear objective function approximation, and neural network is applied to the prediction of fusion. In this paper, neural network model using multi layer feed forward network--BP neural network. Simultaneously, to achieve large-scale data sets in parallel computing, the parallelism and real-time property of the algorithm should be considered, further combined with Reduce Map model, to realize the parallel processing of the algorithm, making it more suitable for the study of the fusion of large data. And finally, through simulation, it verifies the feasibility of the proposed model and algorithm.

Characterizing big data analytics workloads on POWER8 SMT processors

Big data analytics is emerging as one kind of the most important workloads in modern data centers. Hence,it is of great interest to identify the method of achieving the best performance for big data analytics workloads running on state-of-the-art SMT( simultaneous multithreading) processors,which needs comprehensive understanding to workload characteristics. This paper chooses the Spark workloads as the representative big data analytics workloads and performs comprehensive measurements on the POWER8 platform,which supports a wide range of multithreading. The research finds that the thread assignment policy and cache contention have significant impacts on application performance. In order to identify the potential optimization method from the experiment results,this study performs micro-architecture level characterizations by means of hardware performance counters and gives implications accordingly.

Knowledge Model for Electric Power Big Data Based on Ontology and Semantic Web

It is very important for the development of electric power big data technology to use the electric power knowledge.A new electric power knowledge theory model is proposed here to solve the problem of normalized modeled electric power knowledge for the management and analysis of electric power big data.Current modeling techniques of electric power knowledge are viewed as inadequate because of the complexity and variety of the relationships among electric power system data.Ontology theory and semantic web technologies used in electric power systems and in many other industry domains provide a new kind of knowledge modeling method.Based on this,this paper proposes the structure,elements,basic calculations and multidimensional reasoning method of the new knowledge model.A modeling example of the regulations defined in electric power system operation standard is demonstrated.Different forms of the model and related technologies are also introduced,including electric power system standard modeling,multi-type data management,unstructured data searching,knowledge display and data analysis based on semantic expansion and reduction.Research shows that the new model developed here is powerful and can adapt to various knowledge expression requirements of electric power big data.With the development of electric power big data technology,it is expected that the knowledge model will be improved and will be used in more applications.

Does Being a Big Power Mean Paying a Big Bill? Japan's UN funding proposal appears to disguise political motives

Japan, which is increasingly frustrated that it has not been granted a permanent seat on the UN Security Council, has found a new outlet of displeasure against the world body. On March 10, Japan proposed to the UN General Assembly budget committee,

Responsibilities of a Big Power

To present itself to the international community as a responsible country will help China’s peaceful development and promote the construction of a harmonious world.However,overly high expectations and excessive responsibilities will undoubtedly add risks to China’s development efforts. Jiang Yong,Director of Economic Security Research Center of China Institutes of Contemporary International Relations,expounds on this issue in an article in Outlook Weekly.

The United States and Algeria: A New Strategic Partnership?

In contrast to the United States’relations with neighboring Morocco and Tunisia,those with Algeria are quite complex.Although US-Algerian relations have never reached the level of hostility that characterized US dealings with Libya until 2003,they have been antagonistic from Algerian independence in 1962 until the past decade.Some of the guarded differences in the views of the United States and Algeria are explained by the determinants of Algerian foreign policy,which is shaped by the regional geopolitical context;the country‘s historical experience,mainly the national liberation war(1954-1962);ideological imperatives;and the economic choices imposed by postcolonial conditions.There is also the fact that Algeria continues to oppose what it perceives as the United States’global hegemonic aims.

China's State Security in a Time of Peaceful Development: A New Issue on Research Agenda

This paper holds that China＇s national security during its peaceful rise is a new issue on the research agenda, which requires new counter-measures and collective wisdom. The paper discusses five of China＇s objectives in addressing national security; namely, from highest to lowest priority, friction among big powers, the Taiwan Question, disputes over sovereignty, protection of interests overseas, and undertaking international responsibilities. Systematically achieving these objectives is of major importance for building up national defence and China＇s international image. China ＇s state security in the current period of peaceful development is a new issue on the research agendum, for politicians, the military, scholars and researchers alike. Extensive and in-depth discussion is needed. Global security commitments made by a big power might conflict with its own security interests and objectives. Judging by any standard, China＇s tasks are heavy and the road ahead is long.