Penerapan Teknologi Smart Building Pada Perancangan Smart Masjid

Indonesia has the largest Muslim population in the world, followed by a large number of mosques scattered invarious places and these mosques sometimes have a problem regarding the efficiency in managing theresources of a mosque. This paper is designed to introduce the concept of mosque design based on theprinciples of smart building with the literature study methods and analysis, and comparison to the values in thephilosophy of the Qur'an to determine the suitability of the application of smart building technology in thedesign of a mosque. With the support of some religious activities program, the expected result is "smartmosque", that would also suit with the site and user

Investigation on The Factors Affecting Lifestyle of Professionals in The Construction Industries (Kerala and Tamil Nadu)

One of the vital assets of any industry is human resources. In general, the majority of works are carried out by humans in the construction industries. Study on the assessment of quality of civil engineering construction professionals’ lifestyle is very limited and hence the motto of this study is to understand the lifestyle of construction professionals and to assess the various factors affecting the lifestyle of them. To analyze the effects of societal behavior and to develop a model to study the impact of various factors in a construction professional’s lifestyle; a mixed approach had been adopted in this study. The instrument used in the study was a questionnaire survey conducted from 180 construction professionals working in different firms in Kerala and Tamil Nadu states of India and these were analyzed using structural equation modeling techniques. Factors affecting the construction professional’s lifestyle are: financial factors, organizational factors, quality, health and environmental factors, work-related factors, and social factors. Hence by foreseeing the factors and adopting favorable changes in a construction professional’s life, they may attain a better lifestyle. This study recommends the strategy to be considered for the improvements of lifestyle of the construction professional especially for “Civil Engineersâ€

Dust-acoustic rogue waves in an electron depleted plasma

A rigorous theoretical investigation is made to study the characteristics of dust-acoustic (DA) waves (DAWs) in an electron depleted unmagnetized opposite polarity dusty plasma system that contains super-thermal ($\kappa$-distributed) ions, mobile positively and negatively charged dust grains for the first time. The reductive perturbation method is employed to obtain the NLSE to explore the modulational instability (MI) conditions for DAWs as well as the formation and characteristics of gigantic rogue waves. The nonlinear and dispersion properties of the dusty plasma medium are the prime reasons behind the formation of rogue waves. The height and thickness of the DARWs associated with DAWs as well as the MI conditions of DAWs are numerically analyzed by changing different dusty plasma parameters, such as dust charges, dust and ion number densities, and ion-temperature, etc. The implications of the results for various space dusty plasma systems (viz., mesosphere, F-rings of Saturn, and cometary atmosphere, etc.) as well as laboratory dusty plasma produced by laser-matter interaction are briefly mentioned.Comment: 6 figures; 6 page

Integrating Kinetic Model of E. coli with Genome Scale Metabolic Fluxes Overcomes Its Open System Problem and Reveals Bistability in Central Metabolism

An understanding of the dynamics of the metabolic profile of a bacterial cell is sought from a dynamical systems analysis of kinetic models. This modelling formalism relies on a deterministic mathematical description of enzyme kinetics and their metabolite regulation. However, it is severely impeded by the lack of available kinetic information, limiting the size of the system that can be modelled. Furthermore, the subsystem of the metabolic network whose dynamics can be modelled is faced with three problems: how to parameterize the model with mostly incomplete steady state data, how to close what is now an inherently open system, and how to account for the impact on growth. In this study we address these challenges of kinetic modelling by capitalizing on multi-omics steady state data and a genome-scale metabolic network model. We use these to generate parameters that integrate knowledge embedded in the genome-scale metabolic network model, into the most comprehensive kinetic model of the central carbon metabolism of E. coli realized to date. As an application, we performed a dynamical systems analysis of the resulting enriched model. This revealed bistability of the central carbon metabolism and thus its potential to express two distinct metabolic states. Furthermore, since our model-informing technique ensures both stable states are constrained by the same thermodynamically feasible steady state growth rate, the ensuing bistability represents a temporal coexistence of the two states, and by extension, reveals the emergence of a phenotypically heterogeneous population