This paper proposed implementing a water and air monitoring system using sensor development and a LoRa Network. To transmit data, a self-made PCB board integrates the terminal sensors with Renesas RX64M MCU and LoRa. There are 16 monitoring point stations for the media experiment. The sensors were used to measure the water and air parameters such as PM2.5, CO2, DO concentration, pH level, temperature, and humidity. In addition, the Grafana system was implemented to present the status and variation in the monitoring parameters in the environmental area. To evaluate the monitoring system, we also collected public information provided by the environmental protection department of the Taiwan government at the same monitoring point for comparison.

In order to protect the safety and health of laborers and to achieve the goal of zero occupational accidents at work, the study takes the top three industries with the highest number of laborers inspections from 2010 to 2019, namely, construction, manufacturing, wholesale, and retail as the research object. Using three major indicators of disability injury including Disabling Frequency Rate, Disabling Severity Rate, and Frequency Severity Indicator as parameters, it applies grey theory to establish a GM (1,1) rolling forecast model. It further predicts the trend of disability injuries from 2020 to 2025. Based on the optimized GM (1,1) rolling model, the results show that there has the highest accuracy rate in the prediction of Disabling Frequency Rate (accuracy is 95.235% in K7) in construction. Disabling Severity Rate and Frequency Severity Indicator are both in wholesale and retail industries (accuracy is 97.044% in K6 and accuracy is 99.906% in K5). Therefore, Disabling Severity Rate has an upward trend, which is due to the common type of traffic accidents in the wholesale and retail industry. The study further proposes that relevant actual disaster cases could be the training materials and strengthen the communication in education to improve workers’ safety awareness for occupational disaster prevention.

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Network processors are emerging as a programmable alternative to the traditional ASICbased solutions in scaling up the data plane processing of network services. This work, rather than proposing new algorithms, illustrates the process of, and examines the performance issues in, prototyping a DiffServ edge router with IXP1200. The external benchmarks reveal that although the system can scale to wire speed of 1.8 Gb/s in simple IP forwarding, the throughput declines to 180-290 Mb/s when Diff-Serv is performed due to the double bottlenecks of SRAM and microengines. Through internal benchmarks, the performance bottleneck was found to be able to shift from one place to another given different network services and algorithms. Most of the results reported here should be applicable to other NPs since they have similar architectures and components.

Network processors are emerging as a programmable alternative to the traditional ASIC-based solutions in scaling up the data-plane processing of network services. This work. rather than proposing new algorithms, illustrates the process of, and examines the performance issues in, prototyping a DifjServ edge router with IXP 1200. The external benchmarks reveal that though the system can scale to wire-speed of I.8Gbps in simple IP forwarding, the throughput declines to 180Mbps-290Mbps when DifjServ is performed due to the double bottlenecks of SRAM and microengines. Through internal benchmarks, the performance bottleneck was found to be able to shift from one place to another given different network services and algorithms. Most of the result reported here shall remain the same for other NPs since they have similar architectures and components.