IntroductionThe increasing development of information and communication technologies (ICT) has brought many achievements for human society and greatly influenced people's lives [1], and it has been adding significant benefits to various aspects of it [2]. Captured and stored huge quantities of information about people, their daily interactions and even their biotic signs via a variety of digital devices, potentially processed and analyzed by academic researchers, corporations, and governments [3]. Fortunately, the cost of information processing is cheap today [4], while organizations are using information systems for optimizing processes in order to increase coordination and interoperability across the organizations [5], and helps them to increase the integration and standardization of processes [6].In the same vein, cutting-edge technologies such as Big Data have the potential to leverage the adoption of circular economy concepts by organizations and society, becoming Abstract Annually, lots of research papers are published in scientific journals around the world. The knowledge of the status of research is a prerequisite for research planning and policy making. This type of knowledge could be gained through a scientometrics study on the published literature that analyzes research products in a scientific field. Always healthcare was a permanent concern of researchers and also rapidly expanding field of Big Data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It leads attracting attention from academia, industry and even governments around the world to "Big data in Healthcare". Therefore, this paper has done a meta-analysis on published researches methodology in this field in the period of 2008-2018. Statistical finding shows the "Meta-analysis and evidence" is the most used methodology in published papers. We applied data mining techniques for predicting using methodologies in the various databases to achieving knowledge discovery in the field. Naïve Bayes classifier in RapidMiner has been applied and results show eight main categories for words used in papers while "Developing methods to evaluate of care" averagely is the most intended using methodology for publishing papers and "Agentbased modeling" in nature is most using methodology and could be better predicted. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Over the past few years, protocols, implementations, and optimal uses and the use of internet of things have grown dramatically. Among the communication protocols, the COAP is the most distinctive one. The protocol, has the ability of better and lighter performance in restricted resource networks and devices. There are a lot of implementations about COAP each has its own features and supplies. So, selecting the factors having effects on improvement of COAP protocol and also the implementation method suitable for the features of each of these supplies is important. So, optimal communication protocol which reduces traffic load is highly important and is now, of the main challenges in the IOT industry and smart houses which, in recent years, has attracted many researchers' attention. This study provides some features and an analytical comparison of many variables influencing the optimal performance of COAP. The present study has been conducted to answer the main question of the study: does the use of COAP have any effects on reducing energy consumption in the smart houses? The study has been conducted in the Uromieh Culture House and while studying the effective factors or important variables in improving the COAP performance, has tested the accuracy or inaccuracy of the hypotheses such as the main hypothesis of the study that there is a meaningful and positive relationship between using the COAP protocol and reducing energy consumption in organizations. Finally, a new approach will be introduced in this research causing improvement in the COAP efficiency. Then, its performance will be analyzed regarding reducing in energy consumption, delay in sending data, reducing memory and CPU consumption, the amount of information transmitted in each communication, firmness in failure and technological innovation. The present study aims at identifying the effect of using the COAP protocol on reducing energy consumption in the smart houses, Uromieh Culture House and ranking the factors influencing the implementation of performance improvement based on the smart houses. The paradigm of the present study is interpretive. In terms of purpose, the present study is of applied kind, in terms of data collection is of pluralistic one, in terms of procedure is of field and library one, in terms of data analysis method is a descriptive study and finally, in terms of time is a crosssectional one. The statistical sample of the present study's statistical society includes 49 people of the staff of the Uromieh Culture House who participate in the study as experts and professionals in IOT and new and emerging technologies of the smart houses fields. The results of data analysis show that the most effective factor in implementing the COAP protocol successfully on reducing energy consumption in the smart houses is to reduce energy consumption and the innovative technology factor has the least effect on successful implementation of the protocol.
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