The classification of nonstationary signals in a noisy environment is a difficult task. In this paper a modified version of S-Transform technique has been proposed for classification of power signal disturbances. The S-Transform is a signal processing technique which is used for visual localization, detection, pattern classification. S-Transform has good ability in gathering high frequency signals and suppressing the lower frequency signal. The S-Transform has been used to extract features from the nonstationary power disturbance signals. The extracted features are fed as the input support vector machine classifier for power signal disturbance pattern classification. To enhance the pattern classification accuracy the extreme learning

Abstract: With the development of technology, especially information and communication systems, new ways of providing services emerged, based on the model of "collective consumption" or "sharing economy". This represents a trending economic phenomenon when it comes to consumption. Within sharing economy, consumers are organized by using specific technological platforms that enable them to innovatively consume or produce a particular product/service. These models provide maximum use of scarce resources on the basis of technological support and social capital of the community. Consequently, efficiency and confidence are essential for the functioning of sharing economy, whose size is estimated at 225 billion dollars by 2025. However, these trends are not evenly distributed and the development of the sharing economy depends on a series of conditions, which will be discussed in the paper. Thus, sharing economy makes tremendous challenges for all relevant stakeholders, especially the governments, in the context of adjusting the regulatory framework to meet its demands. Compared to developed countries, Western Balkan countries are significantly lagging when it comes to sharing economy. This is reflected in the lack of foreign and domestic investment in this area. The aim of this paper is to present the conceptual framework for this new economic trend, with the emphasis on the current state of sharing economy in Western Balkans. Paper will focus on the discussion of development potentials of sharing economy in the function of rural business development. Based on this, a set of recommendations will be made for improving the state of sharing economy in the Western Balkans. Keywords: sharing economy, Internet, rural development, Western Balkans JEL Classification: O18, O33, M13

The concept of corporate social responsibility implies that the company has far more responsibilities that overcome its basic economic responsibility. Corporate social responsibility is the imperative of modern business and one of the prerequisites for achieving competitive advantage. Thus, in order to be socially responsible, it is important for a company to demonstrate a certain level of responsibility towards its stakeholders. Historically, the concept of social responsibility has been the subject of numerous discussions, but also different theoretical models. Some of these will be presented in the paper. The aim of the paper is to explore the notion of corporate social responsibility, with the presentation of social responsibility in Bosnia and Herzegovina, and the analysis of the perception of social responsibility of representatives in local companies. Paper shows results of the research of 100 companies in Bosnia and Herzegovina, about their most important stakeholders and various types of social responsibility. The paper will also examine the impact of sociodemographic factors and job characteristics on the attitudes about corporate social responsibility. The paper, in addition to the conclusion, offers concrete recommendations for improving the state of corporate social responsibility in Bosnia and Herzegovina.

This study attempts to advance knowledge in the area of controversial advertising by examining the antecedents and consequences of controversial advert perceptions in the context of social media, and particularly social networking sites (SNS). Specifically, we explore how ethical judgement and religious commitment shape controversial advert perceptions leading to attitudes towards the advert, brand attitudes and purchase intentions. Our results indicate that when a SNS advert is judged to be ethically acceptable, the level of perceived advert controversy is lower. However, the impact of ethical judgement on controversial advert perceptions becomes significant and positive when intrapersonal commitment and interpersonal religious commitment are introduced as moderators. This result implies that the level of religious commitment changes the ethical judgement–controversial advert perceptions relationship. The results also highlight that controversial advert perceptions negatively influence attitude towards the advert. The study contributes to the limited knowledge on controversial advertising on SNS, yielding significant and relevant implications for academics and advertisers alike, in their effort to improve advertising effectiveness without offending or alienating target audiences.

This chapter studies energy efficient driving of (semi)autonomous electric vehicles operating in a dynamic environment with other traffic participants on a unidirectional, multi-lane road. This scenario is considered to be a so called hard problem, as constraints imposed are varying in time and space. Neglecting the constraints imposed from the surrounding traffic, the generation of an energy optimal speed trajectory may lead to bad results, with the risk of low driver acceptance when applied in a real driving environment. An existing approach satisfies constraints from surrounding traffic by modifying an existing unconstrained trajectory. In contrast to this, the proposed approach incorporates a leading vehicle’s motion as constraint in order to generate a new optimal speed trajectory in a global optimal sense. First simulation results show that energy optimal driving considering other vehicle participants is important. Even in simple setups significantly (8%) less energy is consumed at only 1.3% travelling time prolongation compared to the best constant speed driving strategy. Additionally, the proposed driving strategy is using 4.5% less energy and leads to 1.6% shorter travelling time compared to the existing overtaking approach. Using simulation studies, the proposed energy optimal driving strategy is analyzed in different scenarios.