NeuralSens: A neural network based framework to allow dynamic adaptation in wireless sensor and actor networks

Wireless Sensor and Actor Networks (WSANs) constitute a new way of distributed computing and are steadily gaining importance due to the wide variety of applications that can be implemented with them. As a result they are increasingly present everywhere (industry, farm use, buildings, etc.). However, there are still many important areas in which the WSANs can be improved. One of the most important aspects is to give the sensor networks the capability of being wirelessly reprogrammed so that developers do not have to physically interact with the sensor nodes. Many proposals that deal with this issue have been proposed, but most of them are hardly dependent on the operating system and demand a high energy consumption, even if only a small change has been made in the code. In this work, we propose a new way of wirelessly reprogramming based on the concept of neural networks. Unlike most of the existing approaches, our proposal is independent of the operating system and allows small pieces of code to be reprogrammed with a low energy consumption. The architecture developed to achieve that is described and case studies are presented that show the use of our proposal by means of practical examples.     

Current challenges of Germany’s energy transition project and competing strategies of challengers and incumbents: The case of direct marketing of electricity from renewable energy sources

Electricity generated by renewable energies (RES-E) already accounts for 25% of Germany’s electricity supply. This has led to recent discussions for a better market integration of RES-E. The paper examines how competing actors and their ideas on market integration developed new services for direct marketing according to their respective origins and tried to shape the regulatory framework. The paper analyses this process and explains the current shape of the field of direct marketing. Medium-sized structured actors, who favoured RES-E integration via the conventional wholesale power markets, and who formed early close coalitions with RES-E power producers at the same time, have been most successful in terms of market shares. Moreover, they have been very successful for different reasons in building-up coalitions with governance units and influencing the field rules and routines. Based on those findings, the paper will conclude with some policy advices for the future adjustment of the current regulative frameworks. As long as there is no evidence of how RES-E can be integrated most effectively and efficiently, policies should maintain a competition between different direct marketing strategies to find out which strategies serve the best in terms of achieving a successful energy transition.     

Big Five predictors of behavior and perceptions in initial dyadic interactions: Personality similarity helps extraverts and introverts, but hurts “disagreeables”.

The authors used the unstructured dyadic interaction paradigm to examine the effects of gender and the Big Five personality traits on dyad members’ behaviors and perceptions in 87 initial, unstructured interactions. Most of the significant Big Five effects (84%) were associated with the traits of Extraversion and Agreeableness. There were several significant actor and partner effects for both of these traits. However, the most interesting and novel effects took the form of significant Actor × Partner interactions. Personality similarity resulted in relatively good initial interactions for dyads composed of 2 extraverts or 2 introverts, when compared with dissimilar (extravert–introvert) pairs. However, personality similarity resulted in uniquely poor initial interactions for dyads composed of 2 “disagreeables.” In summary, the Big Five traits predict behavior and perceptions in initial dyadic interactions, not just in the form of actor and partner “main effects” but also in the form of Actor × Partner interactions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Sex doesn't sell—nor impress! Content, box office, critics, and awards in mainstream cinema.

Although it is commonly assumed that “sex sells” in mainstream cinema, recent research indicates a far more ambiguous relation between strong sexual content and financial performance. Moreover, such content may not be justified by either critical evaluations or movie awards. The literature even suggests that cinematic sex may reflect long-term gender biases in the film industry. The current study investigates these issues by addressing two questions. First, what is the impact of sex and other graphic content on the central criteria of cinematic success? Second, to what extent is such content contingent on the proportion of women engaged in filmmaking, whether as producers, directors, writers, or actors? Analyses of 914 films released between 2001 and 2005 indicated that sex and nudity do not, on the average, boost box office performance, earn critical acclaim, or win major awards. Although female involvement does influence a film’s content, the only impact on the presence of sex and nudity is the proportion of women who make up the cast. Notwithstanding statistical complications, the best conclusion is that graphic sex neither sells nor impresses. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Doraemon as an artistic image processor

Doraemon is the name of a computer system thinking like a human which can behave phantasmagorically to create artistic expressions like metaphor. The conception of Doraemon's system is realized by Peirce's semiotic pragmatics, that is, the self-reflexive mechanism with meta-procedures which criticize and control its object-data-processing. Here we introduce (1) the pragmatically revised Frame and Actor and (2) the generative pragmatics derived from the pragmatically extended generative semantics and the CD theory to represent our creative Doraemon. The ideas and methods of Doraemon are expected to be effectively applied to creative education through art and to a new computer art.     

基于基本并行进程的异步通信程序的验证方法

异步通讯程序是进程间通过异步消息通讯实现非阻塞并发的程序. 当前异步通讯程序的程序验证问题通常将其归约至向量加法系统及其扩展模型,因而复杂度很高,并缺乏高效工具. 基本并行进程作为向量加法系统的一个子类,其可达性的验证问题为NP完备.首先,本文改进了Osualdo等提出的为异步通讯程序建模的Actor通讯系统, 将其归约至基本并行进程. 然后,实现了基本并行进程的模型检测工具RABLE,实验结果表明,验证方法在异步通讯程序的一系列程序验证问题上具有比已有工具更高效的结果.     

Information technology as a change actant in sustainability innovation: Insights from Uppsala

This study investigates the effects of a sustainability initiative in a Swedish municipality viewed through the lens of actor network theory. The focus is on the consequences of committing to the implementation of a reporting and analysis system for IT-supported sustainability. This commitment involves several actor networks, both internal and external to the municipality. The study shows that, to implement successfully a sustainability initiative, a thorough understanding of organizational routines and standards is required to enrol the affected stakeholders. Information systems can play a central role as tools for improving sustainability indicators and routines, thereby constituting important change actants.     

WSAN多反应节点多传感节点模型的数据传输算法

无线传感反应网络由传感节点和反应节点组成,传感节点将监测到的数据发送到反应节点时,通常采用单反应节点传输模型或多反应节点传输模型.针对最近为提高系统容错能力而提出的一种新的多反应节点多传感节点模型,提出了传感节点发送数据到反应节点的基于组播的新算法.实验证明这种算法可以有效地降低数据传输能耗,从而在提高网络容错能力的同时,改善系统的能量有效性.     

Film music: Are award-winning scores and songs heard in successful motion pictures?

Using a sample of 401 feature-length narrative films released between 1998 and 2003, the current study examines whether award-winning film music is more likely to appear in successful films. Film success was measured using two measures of critical evaluations, a composite measure of best picture awards and nominations, and box office gross, whereas the success of the film music was gauged by the number of awards and award nominations received. In addition, control variables were defined for production costs, release date, release season, runtime, MPAA rating, and genre (drama, comedy, romance, musical, animation, and foreign-language). Although music awards and nominations were positively correlated with film success, the score rather than song was primarily responsible for the relationship. Moreover, after introducing the control variables, song awards had no relation whatsoever, whereas score awards were still positively associated with the film success as measured by best-picture nominations and awards. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于自适应多目标强化学习的服务集成方法

当前服务互联网（IoS）中的服务资源呈现精细化、专业化的趋势,功能单一的服务无法满足用户复杂多变的需求,服务集成调度方法已经成为服务计算领域的热点。现有的服务集成调度方法大都只考虑用户需求的满足,未考虑IoS生态系统的可持续性。针对上述问题,提出一种基于自适应多目标强化学习的服务集成方法,该方法在异步优势演员评论家（A3C）算法的框架下引入多目标优化策略,从而在满足用户需求的同时保证IoS生态系统的健康发展。所提方法可以根据遗憾值对多目标值集成权重进行动态调整,改善多目标强化学习中子目标值不平衡的现象。在真实大规模服务环境下进行了服务集成验证,实验结果表明所提方法相对于传统机器学习方法在大规模服务环境下求解速度更快;相较于权重固定的强化学习（RL）,各目标的求解质量更均衡。