INNOVATIVE CITY IN WEST CHINA CHONGQING

This working paper offers insights on science and technology in China with supporting official and interview data. The paper, as evidenced from the title, is indicating the future role of Chongqing and its evolution primarily focusing on the period of rapid development of the Municipality after Chongqing became a political entity on the same level as provinces of China. This has coincided with the planning, construction and completion of the Three Gorges Dam Project involving the resettlement of 1,000,000 people – most them coming to the rural areas Chongqing Municipality. Three major sub-themes are highlighted. First, the city played important role during more than 2000 years of its history (in 1981, for example it became first inland port in China open for foreign commerce). In the XX century Chongqing was national capital during the Second World War and the Japanese invasion (Nationalists government). Since then it enjoyed higher political status and economic independence than any other city of the same size in whole western China. Second, the municipality’s geographical position and demographic condition makes it quite unique in West China. It has a population of 31 million, an area of 82 square km, a population density of 379 persons per km2 and a location at the upper reaches of Chang (Yangtze) River. This makes it the gate of Southwest China. Third, Chongqing has a strong basic multi-faced economy in the region. Central investment since the 1950s has assisted the development of a relatively strong modern industrial base in the city. Despite the post-Mao reform era’s impact on social and economic disparities as between the coastal areas and the west, Chongqing remains one of the China’s strongest city economies. Its industrial output value ranked 11th among the 35 biggest city economies in China in 2000, though it ranked behind the top ten most industrialized coastal cities, all of which had attracted much greater foreign investment during the reform era. The campaign to Open up the West provides Chongqing with the opportunity to act as the growth pole for a number of less industrialized provincial-level units in north-west and south-west China. Fourth, the initiatives by central authorities and the extraordinary task of Three Gorges Dam project required among other great tasks also relocation of over 1,2 million people, the rebuilding of two cities, eleven county towns and one hundred sixteen townships from the site of Three Gorges Dam water reservoir. Until 2005 there were already almost one million residents resettled. Less than 20 per cent moved outside Chongqing municipality and the majority was to be accommodated within the region of Chongqing Municipality.Regional development; clusters; Regional innovation System (RIS); Development block; competence block; technology system; High Technology Parks; Overview of Science and Technology; FDI

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

The Search for Extraterrestrial Intelligence (SETI)

A bibliography of reports concerning the Search for Extraterrestrial Intelligence is presented. Cosmic evolution, space communication, and technological advances are discussed along with search strategies and search systems

Business models for deployment and operation of femtocell networks; - Are new cooperation strategies needed for mobile operators?

In this paper we discuss different business models for deployment and operation of femtocell networks intended for provisioning of public mobile broad band access services. In these types of business cases the operators use femtocells in order to reduce investments in "more costly" macro networks since the traffic can be "offloaded" to "less costly" femtocell networks. This is in contrast to the many business cases presented in Femtoforum where femtocells mainly are discussed as a solution to improve indoor coverage for voice services in homes and small offices, usually for closed user groups The main question discussed in this paper is if "operators need to consider new forms of cooperation strategies in order to enable large scale deployment of femtocells for public access?" By looking into existing solutions for indoor wireless access services we claim that the answer is both "Yes" and "No". No, since many types of cooperation are already in place for indoor deployment. Yes, because mobile operators need to re-think the femtocell specific business models, from approaches based on singe operator networks to different forms of cooperation involving multi-operator solutions, e.g. roaming and network sharing. --

Wireless body sensor networks for health-monitoring applications

This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01

A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique was to maintain a balance between user comfort and energy requirements such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gap in the literature is due to the advancements in the technology and drawbacks of the optimization algorithms and the introduction of different new optimization algorithms. Further, many newly proposed optimization algorithms which have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. The detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes