A tale of two Victorian historic coastal towns : dilemmas of planning and conservation in Queenscliff and Sorrento

Change has engulfed the coastal fringe of Australia. In balancing the built and natural environment, community needs, cultural significance and economic sustainability, planners aim to improve quality of life and create vibrant communities. Yet managing place change, particularly in coastal areas, is fraught with tensions. Most planning discussions about the rapidity of change, the impact of the Sea Change process and increased development have focused upon the extensiveness of residential expansion and the housing styles that challenge the essence of the character of these coastal towns. Character and sense of place qualities are the very reasons that sea changers desire to engage with and reside within these communities. One aspect missing from this discussion and analysis is the impact that large-scale transformations of iconic buildings are having upon these places. This paper examines the consequences that major commercial development projects have upon the communities of Sorrento and Queenscliff. It considers changes (proposed or realised) to four landmark historic hotels: The Koonya and Continental in Sorrento; and the Ozone and Vue Grand in Queenscliff. This paper focuses on issues of planning, social engagement and community debate.

Modelling daylight for preserving identity : simulation of daylight levels for successful intervention in historic buildings

Historical listed buildings have their own unique cultural identity, which is one of the criteria used by decision mechanisms for their statutory protection. The identity of many of these buildings is often related to their tangible features/components, such as period characteristics (geometry, size, colour, form, and shape), materials and construction. Daylight is one of the in/tangible elements that have contributed to the distinctiveness of many historical buildings, yet when constructing preservation schemes of historical buildings, daylight is rarely introduced or considered as one of the components that shape the character of buildings. One of the reasons is the limited number of credible simulation studies that identify such interrelationships. As many of these buildings were originally designed to accommodate different activities to today's requirements, maintaining the quality of daylight that originally contributed to their visual identity can be a very challenging task, especially if the building is to be adapted to accommodate a different activity. In this paper we will discuss the conflict between maintaining the original visual identity of historical buildings and meeting the visual requirements of restored buildings. The paper discusses the visual performance of a traditional bathhouse (Hammam) in the city of Bursa in Turkey. The change in the visual performance of the selected case study will be discussed in terms of daylight conditions. The paper explores the possibility of maintaining the original daylight conditions of renovated historical buildings while meeting the visual requirements of the new use.

Type-aware task placement in geo-distributed data centers with low OPEX using data center resizing

With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers. The geographical heterogeneity of electricity prices motivates us to study the type-aware task placement problem over geo-distributed data centers. With the consideration of the diversity of user requests and server clusters in modern data centers, we formulate an optimization problem that minimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. Furthermore, an efficient solution is designed for this formulated problem. The experimental results show that our proposal achieves much higher cost-efficiency than the greedy algorithm and much approaches the optimal results. © 2014 IEEE.

It’s not all about language ability: motivational cultural intelligence matters in call center performance

his study focuses on the role of motivational cultural intelligence (CQ) in call center performance. Call centers mainly rely on verbal communication with language ability playing a significant role in delivery of tasks. This study argues that motivational CQ, or the interest and efficacy when interacting with individuals from culturally diverse backgrounds, plays a significant role in call center performance. This study was conducted in the Philippines, one of the top destinations for offshore services like call centers. Studies were conducted at two time points to determine the relationship between language ability, motivational CQ, and task performance. At Time 1, the language ability of 125 call center agent applicants was determined and assessed. At Time 2 which was conducted six months later, performance data were obtained and the level of the motivational CQ of the respondents measured. Results show that language ability is positively and significantly related to task performance. However, when motivational CQ was included, the relationship between language ability and task performance became non-significant, which conveys the full mediating role of motivational CQ in that relationship.

K-Center: an approach on the multi-source identification of information diffusion

The global diffusion of epidemics, computer viruses, and rumors causes great damage to our society. It is critical to identify the diffusion sources and timely quarantine them. However, most methods proposed so far are unsuitable for diffusion with multiple sources because of the high computational cost and the complex spatiotemporal diffusion processes. In this paper, based on the knowledge of infected nodes and their connections, we propose a novel method to identify multiple diffusion sources, which can address three main issues in this area: 1) how many sources are there? 2) where did the diffusion emerge? and 3) when did the diffusion break out? We first derive an optimization formulation for multi-source identification problem. This is based on altering the original network into a new network concerning two key elements: 1) propagation probability and 2) the number of hops between nodes. Experiments demonstrate that the altered network can accurately reflect the complex diffusion processes with multiple sources. Second, we derive a fast method to optimize the formulation. It has been proved that the proposed method is convergent and the computational complexity is O(mn log α) , where α = α (m,n) is the slowly growing inverse-Ackermann function, n is the number of infected nodes, and m is the number of edges connecting them. Finally, we introduce an efficient algorithm to estimate the spreading time and the number of diffusion sources. To evaluate the proposed method, we compare the proposed method with many competing methods in various real-world network topologies. Our method shows significant advantages in the estimation of multiple sources and the prediction of spreading time.