IOT technology application model research of transportation industry in China

The paper studied the connection between internet of things （lOT） technology and transportation industry. Meanwhile, the definition of IOT in transportation was given. Concerning that many problems occurred during the process of traditional intelligent transportation system, the paper proposed a promising model of lOT in transportation. The advantage of the information utilization model from information to function was confirmed through comparative study. Finally, the model presented that a real interconnection of transportation would be achieved based on the unified information collection. It can greatly save cost on technology transfer, exploit potential value of information, and promote the emergence of a sustainable information service market and the industrial upgrade.

Standardization of CPUE for Chilean Jack Mackerel (Trachurus murphyi) from Chinese Trawl Fleets in the High Seas of the Southeast Pacific Ocean

The generalized linear model （GLM） and generalized additive model （GAM） were applied to the standardization of catch per unit effort （CPUE） for Chilean jack mackerel from Chinese factory trawl fishing fleets in the Southeast Pacific Ocean from 2001 to 2010 by removing the operational, environmental, spatial and temporal impacts. A total of 9 factors were selected to build the GLM and GAM, i.e., Year, Month, Vessel, La Nifia and E1 Nifio events （ELE）, Latitude, Longitude, Sea surface temperature （SST）, SST anomaly （SSTA）, Nino3.4 index and an interaction term between Longitude and Latitude. The first 5 factors were significant components in the GLM, which in combination explained 27.34% of the total variance in nominal CPUE. In the stepwise GAM, all factors explained 30.78% of the total variance, with Month, Year and Vessel as the main factors influencing CPUE. The higher CPUE occurred during the period April to July at a SST range of 12-15℃ and a SSTA range of 0.2-1.0℃. The CPUE was significantly higher in normal years compared with that in La Nifia and E1 Nifio years. The abundance of Chilean jack mackerel declined during 2001 and 2010, with an increase in 2007. This work provided the relative abundance index of Chilean jack mackerel for stock as- sessment by standardizing catch and effort data of Chinese trawl fisheries and examined the influence of temporal, spatial, environ- mental and fisheries operational factors on Chilean jack mackerel CPUE.

Exchanges

China,Chile to Boost Ties Chinese Premier Li Keqiang,together with President Michelle Bachelet of Chile,attended the opening ceremony of the Economic and Trade Seminar marking the 45th anniversary of the establishment of China-Chile diplomatic relations and the 7th Meeting of the China-Chile Business Council in Santiago on May 26,2015.

The City Intelligence Quotient （City IQ） Evaluation System＂ Conception and Evaluation

After a systematic review of 38 current intelligent city evaluation systems （ICESs） from around the world, this research analyzes the secondary and tertiary indicators of these 38 ICESs from the perspec- tives of scale structuring, approaches and indicator selection, and determines their common base. From this base, the fundamentals of the City Intelligence Quotient （City IOD Evaluation System are developed and five dimensions are selected after a clustering analysis. The basic version, City IQ Evaluation System 1.0, involves 275 experts from 14 high-end research institutions, which include the Chinese Academy of Engineering, the National Academy of Science and Engineering （Germany）, the Royal Swedish Academy of Engineering Sciences, the Planning Management Center of the Ministry of Housing and Urban-Rural Development of China, and the Development Research Center of the State Council of China. City IQ Evaluation System 2.0 is further developed, with improvements in its universality, openness, and dy- namic adjustment capability. After employing deviation evaluation methods in the IQ assessment, City IQ Evaluation System 3.0 was conceived. The research team has conducted a repeated assessment of 41 intelligent cities around the world using City IQ Evaluation System 3.0. The results have proved that the City IQ Evaluation System, developed on the basis of intelligent life, features more rational indicators selected from data sources that can offer better universality, openness, and dynamics, and is more sen- sitive and precise.

Intellectual Capital Disclosure in China:an Empirical Study

We develop a descriptive framework of the components of intellectual capital (IC) in annual reports and investigate the effects of disclosure of IC on market capitalization.We use content analysis to analyze the annual reports of a sample of Fortune 100 listed companies in 2006 announced by Chinese Academy of Social Sciences.We select the 49 listed companies for content analysis of their 226 annual reports over the five-year period of 2001-2005.There is a highly significant and positive correlation between IC disclosure and market capitalization.In china,some high quality listed companies have existed IC information and increased year after year.More and more listed companies disclose their IC information spontaneity in structure capital,customer capital,and human capital,although Ministry of Finance only give the criterion on structure.There exists significant difference between industries when using ICR to analyze the competitive power.

Smart Grid in CSG:Direction and Field

After describing the general situation of China Southern Power Grid (CSG), this article expounds the necessity for CSG to carry out the program of smart grid, and points out the favorable conditions and the key fields to develop smart grid. It also puts forward near-term emphases, and gives relevant suggestions.

Urban Big Data and the Development of City Intelligence

This study provides a definition for urban big data while exploring its features and applications of Chi- na＇s city intelligence. The differences between city intelligence in China and the ＂smart city＂ concept in other countries are compared to highlight and contrast the unique definition and model for China＇s city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intel- ligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China＇s urban big data. Considering the supporting and core role that urban big data plays in city intel- ligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China＇s urban de- velopment. In conclusion, it is imperative that China make full use of its unique advantages-including using the nation＇s current state of development and resources, geographical advantages, and good hu- man relations-in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data.

Pseudo-Location Updating System for Privacy-Preserving Location-Based Services

With the rapid development of location-aware devices such as smart phones,Location-Based Services(LBSs) are becoming increasingly popular. Users can enjoy convenience by sending queries to LBS servers and obtaining service information that is nearby.However, these queries may leak the users' locations and interests to the un-trusted LBS servers, leading to serious privacy concerns. In this paper, we propose a Privacy-Preserving Pseudo-Location Updating System(3PLUS) to achieve k-anonymity for mobile users using LBSs. In 3PLUS, without relying on a third party, each user keeps pseudo-locations obtained from both the history locations and the encountered users, and randomly exchanges one of them with others when encounters occur. As a result, each user's buffer is disordered. A user can obtain any k locations from the buffer to achieve k-anonymity locally. The security analysis shows the security properties and our evaluation results indicate that the user's privacy is significantly improved.

An Overview of Smart City in China

The year of 2013 is considered the first year of smart city in China. With the development of informationization and urbanization in China, city diseases(traffic jam, medical problem and unbalanced education) are more and more apparent. Smart city is the key to solving these diseases. This paper presents the overall smart city development in China in term of market scale and development stages, the technology standards, and industry layout. The paper claims that the issues and challenges facing smart city development in China and proposes to make polices to support smart city development.

Research on the Positioning of Government Functions in China under the Background of Smart City Construction

In the process of smart city construction, Beijing, Shanghai, Shenzhen and some other cities are facing many problems, among which the most essential one is the government＇ s leading role cannot give a better play due to the constraints of the traditional government functions. Therefore, it is necessary to carry out a reasonable position for the government functions in the construction of smart city. This paper issues that the government should reflect functions in the construction of smart city, such as the planning function of top-level design and unified planning; the organizational function of providing funds and talent protection; the coordinating function of promoting multiple-subject cooperation; the controlling function of establishing technical standards and legal norms.

Comprehensive Analysis and Artificial Intelligent Simulation of Land Subsidence of Beijing, China

Mechanism and modeling of the land subsidence are complex because of the complicate geological background in Beijing, China. This paper analyzed the spatial relationship between land subsidence and three factors, including the change of groundwater level, the thickness of compressible sediments and the building area by using remote sensing and GIS tools in the upper-middle part of alluvial-proluvial plain fan of the Chaobai River in Beijing. Based on the spatial analysis of the land subsidence and three factors, there exist significant non-linear relationship between the vertical displacement and three factors. The Back Propagation Neural Network (BPN) model combined with Genetic Algorithm (GA) was used to simulate regional distribution of the land subsidence. Results showed that at field scale, the groundwater level and land subsidence showed a significant linear relationship. However, at regional scale, the spatial distribution of groundwater depletion funnel did not overlap with the land subsidence funnel. As to the factor of compressible strata, the places with the biggest compressible strata thickness did not have the largest vertical displacement. The distributions of building area and land subsidence have no obvious spatial relationships. The BPN-GA model simulation results illustrated that the accuracy of the trained model during fifty years is acceptable with an error of 51% of verification data less than 20 mm and the average of the absolute error about 32 mm. The BPN model could be utilized to simulate the general distribution of land subsidence in the study area. Overall, this work contributes to better understand the complex relationship between the land subsidence and three influencing factors. And the distribution of the land subsidence can be simulated by the trained BPN-GA model with the limited available dada and acceptable accuracy.

Between Tradition and Modernity： Wuzhen and China＇s Soft Power in the 21 st Century

In recent years, Wuzhen, a Ming-Qing style water town located south of the Yangtze River, has quickly become one of the most popular tourist destinations in China. The success of Wuzhen was so influential that the term ＂Wuzhen Model＂ quickly became a buzzword in Chinese economic and cultural discourses. Promoters of Wuzhen have claimed that it embodies both tradition and modernity, therefore representing the best of China. While Wuzhen was first reconstructed as a ＂living museum＂ of Chinese cultural tradition to attract tourists, it increasingly started to claim itself as a leading ＂smart town＂ for China＇s future development. Moreover, the so-called Wuzhen Model fits seamlessly into China＇s overall strategy of projecting its soft power both domestically and abroad. The purpose of this paper is to examine how Wuzhen was culturally constructed and how it helped to project China＇s soft power. It also examines how Wuzhen was perceived abroad, focusing primarily on major English-speaking countries including the United States, the United Kingdom, and Australia, to understand its impact on China＇s soft power,

Smart Energy Resource Grid in China:What's the Path?

Initiated and approved in 2009,the project of Development Pattern and Implementation Design of Smart Energy Resource Grid in China is now accomplished with the research achievement released to the public and highly valued by authorized organizations such as the Global Smart Grid Federation.In this paper,based on the description of the research achievement,the advantages of the smart energy resource grid in China and the consequential changes are analyzed and discussed,involving the industries of electric power,oil and gas,energy storage,water supply,architecture and transportations etc.

Identifying the Factors for Ensuring Customers Actively Engaged in Smart Grids

Smart grids are expected to become an essential component of the future energy system. The technical potential of smart grids is far reaching and increasingly well understood, and smart grids are now in the early phases of market deployment in several regions, particularly, in Europe and the US. Less understood than the technical aspects is how and to what degree end users （i.e. the customers） are willing and able to embrace smart grid technologies and the changes in mindset associated with this transition. This article reports the main findings from an lEA （International Energy Agency）-DSM （demand side management） project addressing the role of customers in a smart grid deployment scheme, specifically how customer behavior may restrict the technical potential of smart grids from being realized. With a model of household energy behavior as the theoretical point of departure, the research builds on experiences from various smart grid pilot studies, together with consumer research within similar domains, to identify behavioral challenges that are likely to hamper adoption of＂smart grid behaviors＂. Based on this insight, a set of recommendations to minimize customer resistance to smart grid deployment is suggested.

Zhu Pinpin:Making Robots with “Brains”

IN July,more than 1,700 top AI experts gathered at the 25th International Joint Conference on Artificial Intelligence（IJACI-16）in New York.A grand meeting for both AI researchers and practitioners,IJCAI is also one of the major global academic conferences in this field.One Chinese scientist stood out among the speakers.

Evaluation Method for Coordinated Development of Renewable Energy and Smart Grids

Modern power systems are typically characterized with renewable energies and smart grids.Their developments should be kept at a compatible pace with each other.According to the different structures of the power industry,such as generation,transmission,distribution,consumption and dispatching,a comprehensive evaluation system for coordinated development of renewable energy and smart grid in"3 levels,4 sections,15 targets"is created.The index system of coordinated development is important to determine the priorities and key areas in smart grids and renewable energies.By the index system of coordinated development,this paper evaluates the status of renewable energy and grid development,and their degree of coordination in China.A quantitative evaluation method to determine the level of coordination between China's renewable energies and smart grids is developed.The total and component coordination levels in China are calculated by an analytic hierarchy process.In conclusion,the degree of coordination in transmission and dispatching is higher, but the extent of electricity consumption is lowest.Therefore,the consumption section should be the first to develop within China.

SGCC Smart Grid Standardization

This paper introduces the progress of State Grid Corporation of China （SGCC） in smart grid standardization, including the smart grid standards system, standards reversion and development, the role of standards system in smart grid demonstration projects, and the situation of SGCC participation in both domestic and international smart grid standardization work.

An Overview of the Smart Grid in Great Britain

This paper presents an overview of the current status of the development of the smart grid in Great Britain(GB).The definition,policy and technical drivers,incentive mechanisms,technological focus,and the industry's progress in developing the smart grid are described.In particular,the Low Carbon Networks Fund and Electricity Network Innovation Competition projects,together with the rollout of smart metering,are detailed.A more observable,controllable,automated,and integrated electricity network will be supported by these investments in conjunction with smart meter installation.It is found that the focus has mainly been on distribution networks as well as on real-time flows of information and interaction between suppliers and consumers facilitated by improved information and communications technology,active power flow management,demand management,and energy storage.The learning from the GB smart grid initiatives will provide valuable guidelines for future smart grid development in GB and other countries.

Converged Communication Technology and Application in Intelligent Dual-Interactive Power System

Acknowledgments Thanks for assistance and support, which is provided by State Grid Corporation of China and State Grid Communication Information ＆ Telecommunication Company, for the project in the process of research and development. Fibrlink Communications Co., Ltd will keep exerting itself to innovating, which aims for making more contribution of the smart grid on energy reduction and environment protection.

Optimizing GSHP Performance with ICT and RETScreen Plus

Under the RHO （renewable heat obligation）, public buildings in the Republic of Korea must achieve an 11% overall reduction to thermal energy consumption in buildings more than 10,0O0 m^2. RETScreen Plus is a freely available software tool developed by the Canadian Government which can be used to develop energy baselines of clean energy technologies. Using curve-fitting and statistical methods like CUSUM, the software can combine actual energy performance with near real time weather information from NASA. We developed a method to simulate the performance of a GSHP （ground source heat pump）. The three distinct energy zones involve heating, no-energy, and cooling. RETScreen Plus methodology is used to develop curve fits for each distinct zone as it builds a correlation with NASA satellite data. The model then factors the impact of ICT （information and control technologies） as a means to improve and lower the building＇s energy consumption. Two values of COP （coefficient of performance） are used--the first is a standard ICT COP, while the second is an improved ICT COP with a smart controller. This methodology can then be expanded to incorporate current and future smart meter technologies, time of use rates, energy price signals, demand response and electricity storage options. In summary, this methodology enables a building owner or energy conservation official to quickly and accurately determine the baseline energy for a building and the potential impacts of smart ICT technologies, especially for buildings equipped with GSHP technologies.