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Application of appropriate shading device strategies in buildings can reduce direct solar heat gain through windows as well as optimize cooling and artificial lighting load. This study investigates the impact of common shading devices such as overhangs, fins, horizontal blinds, vertical blinds and drapes on energy consumption of an office building and suggests energy efficient shading device strategies in the contexts of unique Bangladeshi subtropical monsoon climate.

This research was performed through the energy simulation perspective of a prototype office building using a validated building energy simulation tool eQUEST. Around 100 simulation patterns were created considering various types of shading devices and building orientations. The simulation results were analysed comprehensively to find out energy-efficient shading device strategies.

Optimum overhang and fin height is equal to half of the window height in the context of the subtropical climate of Bangladesh. South and West are the most vulnerable orientations, and application of shading devices on these two orientations shows the highest reduction of cooling load and the lowest increment of lighting load. An existing building was able to save approximately 7.05% annual energy consumption by applying the shading device strategies that were suggested by this study.

The shading device strategies of this study can be incorporated into the Bangladesh National Building Code (BNBC) as new energy-efficient building design strategies because the BNBC does not have any codes or regulations regarding energy-efficient shading device. It can also be used as energy-efficient shading device strategies to other Southeast Asian countries with similar climatic contexts of Bangladesh.

The author develops and extends the asymptotic F- and t-test theory in linear regression models where the regressors could be deterministic trends, unit-root processes, near-unit-root processes, among others. The author considers both the exogenous case where the regressors and the regression error are independent and the endogenous case where they are correlated. In the former case, the author designs a new set of basis functions that are invariant to the parameter estimation uncertainty and uses them to construct a new series long-run variance estimator. The author shows that the F-test version of the Wald statistic and the t-statistic are asymptotically F and t distributed, respectively. In the latter case, the author shows that the asymptotic F and t theory is still possible, but one has to develop it in a pseudo-frequency domain. The F and t approximations are more accurate than the more commonly used chi-squared and normal approximations. The resulting F and t tests are also easy to implement – they can be implemented in exactly the same way as the F and t tests in a classical normal linear regression.

The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

I examine how four distinct episodes of environmental policy debate have been depicted in the Vancouver Sun, British Columbia's largest daily newspaper. Discourse analysis is applied to the Protected Areas Strategy, the Forest Practices Code, the Working Forest and the Results-based Forest Practices Code. The network of power/knowledge constructed through these texts limits debate to the hegemonic alternatives of “ecomanagerialism” and “eco-capitalism.” This textual reality is constructed from three major organizational standpoints: government, industry and environmentalists. The voices of First Nations and forestry labour are marginalized, as are discourses that challenge the hegemony of the “treadmill of production.”

The purpose of the paper is to give a brief description of the new topic introduced for the first time at the EASN Conferences.

The topic concerns the heliosphere, the nearest surrounding of the Sun and thus the nearest vicinity of the Earth. The heliosphere is created due to the interaction between the solar wind and the local interstellar medium.

This paper does not include any new information about the heliosphere and only introduces a new topic to this journal. It is briefly shown how heliospheric structures are formed, what factors affect a shape of the heliosphere, what measurements are made by Ulysses, Voyager and IBEX space missions (important for the heliosphere modeling) and how obtained data are used to validate theoretical results.

To categorize the paper under one of these classifications, research paper, viewpoint, technical paper, conceptual paper, case study, literature review or general review, the authors chose a paper type, general review, as the closest category to this paper. However, it is not a purpose of this paper to provide an extensive review of the community efforts to investigate the physical processes in the vicinity of the heliosphere interface. This is mostly a status report.

As the new topic in this journal, the article introduces in detail only a small number of aspects connected with heliosphere models. Interplanetary and interstellar magnetic field structures are primarily described. Other factors are only mentioned.

Career development involves how employees manage their career advancement. This study aims to investigate the relevance of Sun Tzu's Art of War to career development of construction professionals with the aim of suggesting strategies that may be adopted for career development.

The data collection technique was in‐depth interviews with 32 subjects who are Singapore‐based construction professionals. The subjects were asked 13 open‐ended questions which were developed based on the Art of War.

The main findings on the effective career development strategies are: outperforming peers by developing deep job experience and delivering excellent performance; adopting a team member posture before moving on to a team leader stance; handling office politics and conflicts effectively; maintaining flexibility and manoeuvrability in one's career; networking; and acquiring foreknowledge.

The study is qualitative in nature, thus, the actual effectiveness of the recommendations for career development is not known. There may also be some more strategies undisclosed by interviewees as sharing them may cause them to lose their competitive advantage.

The effective strategies for career development are found. Construction professionals may adopt some military strategies that may help them in their career development.

The relevance of military strategies to career development in construction firms suggests that career progression is akin to war, where winning is important and strategizing to win is necessary.

In this paper military strategies are mapped onto career development, and relevant career advancement strategies are identified.

Over 3,000 scientists, technologists and industrialists attended the 1955 World Petroleum Congress, held in Rome, Italy, from June 6 to 17. Delegates representing 45 countries read papers covering all aspects of the petroleum industry, including geology and geophysics, drilling and production, oil processing, the production of chemicals from petroleum, the composition of petroleum, utilisation of petroleum products, and other more general subjects. Abstracts of papers included in the corrosion section are given below, and these discuss problems of graphite formation, the occlusion of hydrogen, static electricity, and corrosion inhibition in refinery equipment.

Science is a form of narrative that is regarded as the prime generator of knowledge. What about other forms of narratives such as novels and dramatic films? Claims this question is particularly important in organizational science because its narrative nature is easier to detect than is the case with the physical sciences. Using the metaphor of organizations as texts, contends that narrative fictions, especially films, are valuable sources in the study of organizations. What organizational researchers and film writers do are strikingly similar. For example, they enact rather than discover, test ideas against evidence, generalize, raise testable questions about the social world, and stay focused on the complexity of experience. An analysis of the film Rising Sun illustrates the use of narrative fiction as texts for organizational analysis. Discusses the implications of this approach.

The purpose of this paper is to present a new methodology, used for dynamic reliability analysis of a gear transmission system (GTS) of wind turbine (WT), which could be used for assembly decision-making of the parts with errors to improve the GTS’s performance.

This paper involves the dynamic and dynamic reliability analysis of a GTS. The history curves of dynamic responses of the parts are obtained with the developed gear-bearing coupling dynamic model considering the random errors, failure dependency and random load. Then, the surrogate models of the mean and standard deviation of responses are presented by statistics, rain flow counting method and corrected-partial least squares regression response surface method. Further, a novel dynamic reliability model based on the maximum extreme theory, a theory of sequential statistics, equivalent principles and the inverse transform theory of random variable sampling, is developed to overcome the limitations of traditional methods.

The dynamic reliability of GTS considering the different impact factors are evaluated. The proposed reliability methodology not only overcomes the limitations associated with traditional approaches but also provides good guidance to assembly the parts in a GTS to its best performance.

Instead of constant errors, this paper considers the randomness of the impact factors to develop the dynamic reliability model. Further, instead of the limitation of the normal distribution of the random parameters in the traditional method, the proposed methodology can deal with the problems with non-normal distribution parameters, which is more suitable for the real engineering problems.