The purpose of this paper is to review the existing literature to draw an understanding of the relationship between indoor environmental quality and occupant productivity in an office environment. The study reviews over 300 papers from 67 journals, conference articles and books focusing on indoor environment, occupant comfort, productivity and green buildings. It limits its focus to the physical aspects of an office environment. The literature outlines eight Indoor Environmental Quality (IEQ) factors that influence occupant productivity in an office environment. It also discusses different physical parameters under each of the IEQ factors. It proposes a conceptual model of different factors affecting occupant productivity. The study also presents a review of the data collection methods utilised by the research studies that aim to investigate the relationship between IEQ and occupant productivity. The study presents a comprehensive discussion and analysis of different IEQ factors that affect occupant productivity. The paper provides a concise starting point for future researchers interested in the area of indoor environmental quality. Keywords: occupant productivity, workplace satisfaction, indoor environment quality, occupant comfortPaper type: Literature review IntroductionHumans spend most of their time indoors, and the majority of the world's population lives in urban areas and work in an office environment (ASHRAE, 1993). There has been a significant global shift in the economy from the manufacturing sector towards the service and knowledge-based sectors which operate in indoor office environments (Haynes, 2008b, World Green Building Council, 2014. Hence, it is becoming important to understand the indoor office environment and the effect it has on occupant productivity. An office environment has a high level of influence on its occupants' productivity (Leaman and Bordass, 1999, Frontczak et al., 2012, Roelofsen, 2002, Mawson, 2002, Van der Voordt, 2004. Past studies on sustainable buildings postulate that green design strategies and technologies enhance the indoor workplace environment. Such strategies/technologies enable the creation of an environment which favours occupants' comfort and performance in both newly built and retrofitted buildings (Romm and Browning, 1994). The majority of the building stock that will exist in 2050 has already been built (2009). Thus, there is a need to investigate the quality of the indoor workplace environment and its relationship to occupant productivity. This paper establishes the state-of-the-art on environmental factors that influence occupant productivity in the office environment. It also highlights and discusses various occupant productivity measurement methods used in indoor environment research studies. This research will help construction industry professionals improve the designs that allow better operation of office buildings along with improving the productivity of the occupants. BackgroundThe research on the direct and indirect effects of indoor environ...

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Wireless sensor networks have become incredibly popular due to the Internet of Things' (IoT) rapid development. IoT routing is the basis for the efficient operation of the perception-layer network. As a popular type of machine learning, reinforcement learning techniques have gained significant attention due to their successful application in the field of network communication. In the traditional Routing Protocol for lowpower and Lossy Networks (RPL) protocol, to solve the fairness of control message transmission between IoT terminals, a fair broadcast suppression mechanism, or Drizzle algorithm, is usually used, but the Drizzle algorithm cannot allocate priority. Moreover, the Drizzle algorithm keeps changing its redundant constant k value but never converges to the optimal value of k. To address this problem, this paper uses a combination based on reinforcement learning (RL) and trickle timer. This paper proposes an RL Intelligent Adaptive Trickle-Timer Algorithm (RLATT) for routing optimization of the IoT awareness layer. RLATT has triple-optimized the trickle timer algorithm. To verify the algorithm's effectiveness, the simulation is carried out on Contiki operating system and compared with the standard trickling timer and Drizzle algorithm. Experiments show that the proposed algorithm performs better in terms of packet delivery ratio (PDR), power consumption, network convergence time, and total control cost ratio.

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PurposeThe purpose of this paper is to establish manufactured construction as a good potential alternative to meet the growing housing needs of China.Design/methodology/approachThe paper uses literature review and case study as research methodologies. Literature review is used to identify the need for housing and establish the manufacturing prowess of China. The case study is used to look at how a similar problem has been tackled in the UK and then the case study findings are used to identify future direction for China.FindingsFindings suggest that there is an acute shortage of housing in China, and at the same time the manufacturing sector in China is very strong. Therefore, in order to meet the housing demand for the population, manufactured construction offers a very attractive and cost‐efficient alternative.Practical implicationsManufactured construction is an attractive alternative for China and therefore the government needs to encourage this sector through subsidies and tax benefits. Given that currently China is regarded as a manufacturing powerhouse, it will be relatively easy to establish manufactured construction as an organised and supported sector by the government.Originality/valueThe paper presents manufactured construction as an attractive alternative and strategic direction that China should adopt to meet the growing housing needs of the citizens. This also would appear to be an obvious alternative, given the manufacturing capabilities of China.

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We fabricated solution processed organic phototransistors (OPT) by drop casting regioregular poly 3-hexylthiophene (P3HT) from three different solvents: p-xylene, dichlorobenzene and chloroform. The best performance was obtained for films drop-casted from p-xylene with a maximum photosensitivity (P) of 3.8 x 10(3) and responsivity (R) of 250 A W(-1) under white light illumination. For films deposited from dichlorobenzene and chloroform the values of P were 1.1 x 10(3) and 30, respectively, while the values of R were 150 and 35, respectively. The maximum responsivity value reported here is at least one order of magnitude higher than that of previously reported solution processed OPT devices. By analyzing the absorption spectra of different films, we conclude that the better device performance of OPT from p-xylene is due to better crystallinity of P3HT. Demonstration of high performance OPTs is a significant step forward in integrating these devices in various optoelectronic circuits.