Earticle

Smart city as a novel further urban development pattern paid more attention by governments, is no longer confined to the virtual concept frameworks, and is now realized and proved effectively in different domain, especially in emergency management. Based on current research of emergency management in smart city system, with considering the new features of emergency resources, such as real time, distributed, self-organization, etc., a emergency management system architecture is proposed firstly, which composes of resource layer, sense and network layer, smart service layer, application layer and social management layer. Then a clear collaborative emergency resource scheduling model is constructed to minimize the time, cost and maximize the quality of resource. Moreover, we present an improved HPSO to solve the multi-objective emergency resource scheduling problem. Finally, a simulation experiment is carried out to obtain the evaluation results which can indicate us that our scheduling model and algorithm are applicative and valuable in emergency management of smart city.

Kinetic Typography Rendering Engine contains Primitive Motion Library to convey the emotions. It wraps essential elements such as time, space and speed to express movement. Scrutinized primary movement is constituted as Primitive Motion Library and it is a way to kinetic typography properly. The main purpose of Primitive Motion Library substitutes the existing method to manufacture kinetic typography; such as using software and doing expert coding. To achieve this purpose, the thesis is separating the movement, classifying it systematically and developing Primitive Motion API which renders Kinetic typography.

Churn is a defection from a service provider. This study explores the role of social network in customers’ churn behavior .As the saying goes; customer is the god in service-based industries. Since the cost of customer acquisition is much greater than the cost of customer retention, customer churn prediction is more and more important. So far, research on churn prediction has involved user profile factors and social factors, but the analysis lacks interpretability and predictive horizon. In this paper, for a better understanding of churn behavior in MMORPG, we use longitudinal statistical models to examine whether the churn behavior in one person is associated with the churn of his friends on a complete data set of an entire society. Discernible clusters of active persons and inactive persons are visible in the network, and the relationship between people’s churn behavior extends up to three separations. Besides, we provide quantitative evidence for the strong ties hypothesis. The higher the number of common friends two persons have, the influence between them is more significant. At last, we use mixed effects cox models to predict churn in the future. Our study can provide a long forecast horizon, it is an obvious advantage to prevent the churn of a person.

Churn is a defection from a service provider. This study explores the role of social network in customers’ churn behavior .As the saying goes; customer is the god in service-based industries. Since the cost of customer acquisition is much greater than the cost of customer retention, customer churn prediction is more and more important. So far, research on churn prediction has involved user profile factors and social factors, but the analysis lacks interpretability and predictive horizon. In this paper, for a better understanding of churn behavior in MMORPG, we use longitudinal statistical models to examine whether the churn behavior in one person is associated with the churn of his friends on a complete data set of an entire society. Discernible clusters of active persons and inactive persons are visible in the network, and the relationship between people’s churn behavior extends up to three separations. Besides, we provide quantitative evidence for the strong ties hypothesis. The higher the number of common friends two persons have, the influence between them is more significant. At last, we use mixed effects cox models to predict churn in the future. Our study can provide a long forecast horizon, it is an obvious advantage to prevent the churn of a person.

In the paper, we proposed low-power sensor node that applied to perform events-based sampling algorithm and to harvest energy through irrigation equipment applicable in greenhouse environment. The system composition to achieve such a goal could be divided into three parts of sensors, data processing and control, and this paper suggests a solution to an unnecessary wasting energy problem by using the event-based sampling to effectively reduce data exchange between the control system composition. Sensor node based on energy harvesting are implemented through micro-hydro generators connected to the irrigation equipment and it is confirmed that transmitting or receiving stable data is possible, reducing energy consumption of sensor node by the algorithm.

This paper proposes a Group Buying model (paid in advance) of online-to-offline mode using Generalized Stochastic Petri Nets. As the time cost of consumers is getting higher and higher, time efficiency is getting much more important in all aspects of life, especially in catering industry, and one way that can lead to direct communication between store owners and consumers is Group Buying of online-to-offline mode, the center of which is the brand building and service efficiency. Although researches based on both users’ and sellers’ perspective about online buying are very rich, these findings are not entirely applicable for this new e-commerce model, and most of current research on online-to-offline mode use qualitative methods. More importantly, few researchers have concerned about the efficiency of Group Buying process and come up with related solutions to improve it. By constructing a business model of GB and conducting time efficiency and performance analysis on it, we find that the key transitions of the system only take up less than half of the time before the whole process has been completed. And when we shorten the feedback process, the percentage of finishing consumption in physical store in the whole Group Buying model can be improved by 14.5%. Thus, we suggest that suppliers and sellers should be more focused and efficient in encouraging customers review timely as well as giving consumers feedback as soon as possible, since consumer comments are proved to be significantly important for the retailers. Besides, site operators and store sellers can also use other ways like WeChat and microblogging to promote their site linkages and gain more market share.

With the improvement of people’s living standard, mass customization production model has been the trend of the furniture industry. A model of furniture product design and assembly for customization is proposed. It can decompose customers’ needs and transform them into homologous modules set in the structure tree. Then through the assembly relationship graph and matrix of these product parts, an assembly sequence which can guide the assembly of products will be built by a genetic algorithm. This process will not only save manpower and resources, but also improve enterprise efficiency. In this article, an instance was given in order to verify the correctness of product design and assembly processes based on product family of mass customization.

In view of the cow extensive farming, which lacks modern management tools, the cow estrus determine are often laid off. In this paper, a cow behavioral characteristic is designed. The system collects X, Y, Z axis acceleration data through triaxial accelerometer ADXL345, by ZigBee wireless network and RS485 sent to the information center, it’s based on the support vector of binary tree to classify their behavior. The result shows, the algorithm for cow’s stationary and moving classification accuracy was 93.26%, a slight and sharp motion accuracy was 84.81%, It provides an effective basis in judging cows in heat or in physical abnormalities. That system contributes to the refinement of cows feeding and health culture,and has great significance for the stable and healthy development of the dairy industry.

Now a days Jobs are Scheduled in a single processor or more than one processor, a real time job is scheduled or executed based on requirements, An Successful task in embedded system ought to have constrained asset necessities: Memory, execution time and power utilization, these necessity are not generally simple to fulfil in real-time embedded system with hard task deadlines. In this paper we explore the effective time utilization, without influencing the deadline requirements of typical hard real time task ,there are no limitation on the new results each task can be periodic or sporadic ,with relative deadline which can be less than ,equivalent to or greater than its period, it is too fast , best-effort ,effective real time scheduling algorithm for a wide variety of job parameters.

Now a days Jobs are Scheduled in a single processor or more than one processor, a real time job is scheduled or executed based on requirements, An Successful task in embedded system ought to have constrained asset necessities: Memory, execution time and power utilization, these necessity are not generally simple to fulfil in real-time embedded system with hard task deadlines. In this paper we explore the effective time utilization, without influencing the deadline requirements of typical hard real time task ,there are no limitation on the new results each task can be periodic or sporadic ,with relative deadline which can be less than ,equivalent to or greater than its period, it is too fast , best-effort ,effective real time scheduling algorithm for a wide variety of job parameters.

This paper first describes the dynamic multicast routing and routing optimization standard, then puts forward the RPL protocol based energy efficient DODAG multicast routing algorithm. Through simulation experiments, we can compare and analyze the advantages and disadvantages of several kinds of dynamic multicast routing algorithm. And according to the simulation results obtained conclusion, EE - DODAG multicast in the process of each packet sent after more a small amount of forwarding nodes, and consume less energy in survival time.

In this paper, we extend CSS specifications which are needed to reconstruct standard-based 2D web contents in 3D space using CSS stylesheet, and we implement an emulator to confirm the result of representing written sample contents 3D-stereoscopically on a stereo device. First, a new profile which is needed to set the view volume and layout web contents out in 3D space is proposed by extending CSS3 specifications. Then, the user freely reconstructs the web contents from the browser in 3D space using the nwly extended CSS3 specifications and writes sample contents of various kinds. In sequence, the sample contents which were written through preprocessing process using the extended specifications are converted to original CSS code, so that it is executable in webkit-based browsers. Lastly, in system rendering engine emulator, stereo view volume is automatically created, and the user can verify the result of 3D-stereoscopic representation by emulating the final stereo image files, which can be obtained from virtual left and right cameras, on stereo device.

Online to offline is a new business mode combining the online shopping and the front line transactions. No previous studies have simultaneously examined these variables as antecedents of e-loyalty intention or the possible relationships among them within O2O platform. Our paper has examined the effects of inertia; perceived ease of use, customization and quality of offering on the consumer’s switching costs. These findings provide a theoretical foundation for academics and also practical guidelines for service providers in dealing with the promotion of loyalty at O2O platforms.

Online to offline is a new business mode combining the online shopping and the front line transactions. No previous studies have simultaneously examined these variables as antecedents of e-loyalty intention or the possible relationships among them within O2O platform. Our paper has examined the effects of inertia; perceived ease of use, customization and quality of offering on the consumer’s switching costs. These findings provide a theoretical foundation for academics and also practical guidelines for service providers in dealing with the promotion of loyalty at O2O platforms.

The research aims to merge the sections of geographic information distribution of the large-scale farms information monitoring system and the farming enterprises filing system which are under the Animal Husbandry Bureau in Heilongjiang Province as a Geographic Information System (GIS) that based on the map conflation technology of topological relation. Applying a variety of algorithms of points, lines, surfaces to this study, and using optimized "Spider code" and matching algorithm based on area overlay rate to solve the map database conflation problem of two different sources but consistent geographic target. It not only improves the map accuracy and consistency, but also adds new space characteristics, and updates attribute information which associated with dataset spatial characteristics. It makes the personnel at all levels in the Animal Husbandry Bureau in Heilongjiang Province realize information sharing. It is conductive to promote the work of staff at all levels and provide decision support of data to the Animal Husbandry Bureau in Heilongjiang Province.

Modern buildings around the world have become complex and augmented. Given the structural characteristics of modern buildings, quick evacuation using emergency exits or evacuee guidance markers during blackouts due to fire, building collapse, earthquakes, or aging of buildings need to be possible. This paper suggests an Internet of Things(IoT)-based intelligent fire emergency response system that can control directional guidance intelligently according to the time and location of a disaster and the design of an integrated control system using wireless sensor networks to address the problems with existing fire emergency response systems in times of fire or building collapse.

Forest fires can be fatal threats. Motivated by the need to detect fire early and locate forest fires clearly, in this paper, we propose a paradigm called the forest fire monitoring paradigm (FFMP). The purpose of the FFMP is for forest fire early detection and locating based on mixed wireless sensor networks (WSNs). Different from pure static and mobile WSNs, mixed WSNs are composed of both mobile sensor nodes and static sensor nodes. Mixed WSNs are a tradeoff between cost and coverage. In the FFMP, the mobile sensor nodes perform as cluster heads and they will construct a backbone network in which the mobile sensor nodes can connect with their neighbors and be capable of transmitting data to the base station. Each static sensor node chooses one neighboring mobile sensor node as its cluster head and uploads the generated messages to the cluster head. The mobile sensor nodes then fuses the information and transfers the fusion results to the base station, where the data were further processed to obtain the temperature distribution graph and locate the fires. The simulation illustrates that our approach performs well in early forest fire detection and locating. In addition, our approach can significantly prolong the lifetime of WSNs.

In order to encourage customers to return, more and more retailers issue membership cards that offer certain exclusive benefits to the customers who own them. As it is not convenient for the customers to bring many plastic membership cards with them, electronic membership cards emerge. However, traditional electronic membership cards are stored in the mobile phone that usually lacks enough security protection. This paper presents a common data storage solution for SE-based membership card applications, which can enable retailers not only to deploy membership cards on secure area easily, but also to access membership cards in a fast and secure manner. Since the proposed solution provides common and simplified interfaces for managing membership card application information, the service providers will not have to know much about the complicated application management mechanism within a SE and thus the overhead of developing and deploying a SE-based membership card application is greatly reduced.

This study suggests a firewall management method using a virtual server in order to allow a manager equipped with a smart phone not only to detect and prevent security threats but also to control firewalls anytime, anywhere. Recently, hackers’ threatening over security is constantly increasing, but companies or institutions operating a small PC server are exposed to a serious threat on security as they cannot afford to maintain manpower that can control it for 24 hours. As a solution for it, this study suggests a way to provide stable services and also save time and money by detecting an illegal access or intrusion at an early stage and reporting it to the server manager in a remote place via a smart phone so as to cope with it properly. For the solution proposed here, this researcher has designed and realized a system which conducts a pattern matching inspection on the packet using the virtual server and Aho-Corasick algorithm to monitor and detect an intrusion and can realize prompt safety management in a remote place with the system control that is realized by an android app.

This paper built a optimization model and proposed an improved firefly optimization algorithm called CFA, which is based on firefly Cooperative. The main idea of CFA is to extend the single population FA to the interacting multi-swarms by cooperative Models. In this work, firstly, CFA algorithm is used for optimizing six widely-used benchmark functions and the comparative results produced by, firefly optimization algorithm(FA) are studied. Secondly, CFA algorithm used in data mining, clustering analysis on several typical data sets. The performance of typical data clustering results showed that the biological heuristic algorithm based on clustering analysis algorithm with the existing success of FA compared to faster convergence, and the clustering of higher quality.

Many of researches in controlling smart home system have been proposed. Most of previous approaches in controlling smart home system requires interventions and commands from user. This paper propose a system about smart home based on mobile sensing that does not requires interventions and commands from the user. Mobile Sensing is used to records daily routine activities of the user. Then the system automatically gives a response to user based on his/her daily routine activities. We have implemented our approach to demonstrate the feasibility and effectiveness of using mobile sensing for controlling smart home system. Furthermore, we evaluate our approach and present the details in this paper.

The high-efficiency modern agricultural demonstration park is a new development mode of Chinese agriculture, and plays a very important role in promoting agricultural development. This paper establishes the framework of the modern high-efficiency agricultural demonstration park from six aspects, namely, development orientation, function composition, comprehensive planning, smart construction, standardized construction and innovation construction. The results show that these aspects are influenced by several factors or set up by several modules, and form the symbiotic network of the park. Positioning realistic development targets, arranging function division, allocating infrastructure, and integrating smart, standardized & innovative technologies will ultimately enhance the ecological, economic and social benefits of the park.

In order to predict and analyze the LCC during rolling stocks’ maintenance phase, provide the important support for the decision during rolling stocks’ design, production, operation and disposal, mitigate the risks for high expenditure, the LCC prediction software is developed with VBA programming language in Microsoft Excel environment based on various rolling stocks’ maintenance scenarios. This software can collect the LCC input and predict the LCC during rolling stocks’ maintenance phase. The data input is based on the history data and RAMS information for each system and approved by the engineers. This software is validated by several systems and a specific metro project. It shows very wide applicability for LCC prediction for comparing and analyzing for customer and design and friendly interface to the users.

Urban lighting information plays an important role in digital urban management. In this paper, an IAMSULI (Intelligent Analysis and Mining System for Urban Lighting Information) is proposed. Using data analysis technology, case-based reasoning technology and data mining technology comprehensively, the system aims at providing better decision support for lighting management. IAMSULI is composed of system management, geographical information management, lighting information management, lighting data analysis, comprehensive classification statistics and event management. The system can help us quickly find lighting problems, provide early warning alarm of the problems, and also supply constructive information for the urban development.

Variations of acoustic emission signals of leakage of the heater versus inner pressure, leakage aperture, transmission distance and liquid state in the outer pipeline were studied through experiment and analysis. By changing one of the four factors each time, leakage failure reasons were concluded. Research results would be applied into leakage detection of heater.