This study developed an energy management system (EMS) via internet-of-things (IOT) for lighting control on a university campus in Taiwan. The system structure of EMS was composed of five layers: a network layer using WebAccess, an application layer using software and controllers, a control layer using remote I/O, an equipment layer using the lighting equipment, and a perception layer using light sensors. The proposed system for lighting control on a university campus was completed successfully and running smoothly online. This study provides valuable reference in engineering and technology education employed in training and development programs.

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The physical and mental health of an aging society has become a major issue, and stress reduction and the improvement of physical and mental health are important physical and mental health issues for middle-aged and elderly people. This research sought to explore the application of aromatherapy for the improvement of physical and mental health and stress levels, as well as other issues, that concern the elderly in the community. The research was based on intentional sampling. A pre- and post-test design with unequal groups was employed. The experimental treatments were divided into five groups: Group A (compound essential oil massage plus sniffing), Group B (compound essential oil massage), Group C (pure base oil massage), Group D (compound essential oil sniffing), and control Group E (without any aromatherapy intervention). To explore the effects of aromatherapy on physical and mental health and stress relief among the elderly in the community, the self-completed Mental and Physical Health Scale for the Elderly and the Stress Index Measurement Scale were used to collect data. The obtained data were analyzed using descriptive statistics and by paired sample t-test. It was concluded that aromatherapy can improve the physical and mental health of the elderly in the community and can significantly reduce stress. The experimental results on aromatherapy in this study can provide a basis for home application to help the elderly in the community. They also provide a foundation for the organization of health promotion courses for the elderly and other practical applications in social welfare group planning.

Construction productivity entails a wide range of work combinations. When human resources are scarce, it is critical to replace manpower with machinery, and calculating machinery productivity is crucial. Traditional labor productivity methods, however, cannot address dredging complex multi-attribute decision-making (MADM) problems. Aiming to address the limitations of the traditional labor productivity method, this paper extends the data envelopment analysis (DEA) and proposes a new dredging productivity evaluation method. The proposed method can solve the problem of evaluating various combinations of factors (single-input, multiple-input, sin-gle-output, and multiple-output) and the problem suggesting that the efficiency of the DEA method'scalculation results is equal to 1. The effectiveness of the proposed method was verified using reservoir dredging examples. The simulation results show that the proposed method has broad applicability, can accurately evaluate the related dredging performance issues, and provide directions for construction managers to improve labor productivity.

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