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Increase of Cardiometabolic Biomarkers Among Vehicle Inspectors Exposed to PM0.25 and Compositions
Ramdhan, Doni Hikmat,Kurniasari, Fitri,Tejamaya, Mila,Fitri, Aidila,Indriani, Aisyah,Kusumawardhani, Adinda,Santoso, Muhayatun Occupational Safety and Health Research Institute 2021 Safety and health at work Vol.12 No.1
Background: Exposure to particulate matter (PM) emitted from vehicle exhaust might disrupt systemic function and elevate the risk of cardiovascular disease. In this study, we examined the changes of cardiometabolic biomarkers among vehicle inspectors exposed daily to PM0.25 and components. Methods: This cross-sectional study was conducted at two vehicle inspection centers, Pulogadung and Ujung Menteng, located in East Jakarta, Indonesia. The exposed respondents were 43 workers from vehicle inspection centers, and the unexposed group consisted of 22 staff officers working in the same locations. Vehicle exhaust particulate matter was measured for eight hours using a Leland Legacy personal pump attached to a Sioutas Cascade Impactor. The used filters were 25 and 37-mm quartz filters. The particulate matter concentration was analyzed using a gravimetric method, whereas trace elements were analyzed using energy dispersive X-ray fluorescence. An EEL Smoke Stain Reflectometer analyzed black carbon. Results: The personal exposure concentrations of PM0.25 were 10.4-fold higher than those in unexposed groups. Calcium and sulfur were the major components in the obtained dust, and their levels were 3.3- and 7.2-fold higher, respectively, in the exposed group. Based on an independent-samples t-test, high-density lipoprotein, triglyceride, HbA1c, total immunoglobulin E, high-sensitivity C-reactive protein, tumor necrosis factor-alpha, and nitric oxide levels were significantly different between the groups. Conclusions: In summary, it was suggested that PM0.25 exposure from vehicle exhaust might affect cardiometabolic biomarkers change.
Smart Lighting based Fuzzy Logic Controller to Reduce Energy Consumption
Ramdhan Nugraha,Daniar Estu Widiyanti,Muhammad Wicaksono,Soo Young Shin 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
The use of electrical energy for offices is quite burdening the company's cash flow. In addition, inadequate lighting levels will reduce the quality of our eye vision. In this work, the fuzzy logic controller is used to reduce energy consumption. The work system is used to detect human movement and light intensity. If movement is detected in a location, the surrounding lights will light up according to the desired light intensity. In the same room, not all lights are on, only in areas that detect human movement. This system is integrated with the Internet of Things so that electric power can be monitored and predicted in the future. The tests that have been carried out resulted in savings in electrical energy of 50.7 % from the previous month.
Path Planning Method with Angle Calculation for Optimum Flight Time
Ramdhan Nugraha,Soo Young Shin 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Using an Unmanned Aerial Vehicle (UAV) for regional monitoring, data retrieval from sensors, and even as a support system for base stations has grown rapidly. In this paper, we present an optimization approach for reducing the amount of energy consumed during a flying vehicle trip. In this study, an energy consumption estimation model was made based on the distance between the starting point and each target node and changes in the direction angle. Using this model, we can estimate or predict the energy consumption of a UAV to fly from one point (node) to others (including the starting point). The results of this study are the larger of turning angle, than more significant the energy required. With the result that UAV flight time will be longer.
Multi-node Wireless Sensor Networking System on LED Lamp Fitting Application
Muhammad Wicaksono,Ramdhan Nugraha,Daniar Estu Widiyanti,Soo Young Shin 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
In this paper, simple moving average (SMA) algorithm is applied on smart light emitting diode (LED) for power lighting consumption monitoring of a building. Simple moving average algorithm is used for smoothing current sensor data fluctuations. Combine with fuzzy logic controller (FLC) method with smart LED to reduce the power consumption, FLC is used to assist controlling the intensity of light inside the building. Input for FLC are light intensity and human movement inside the building. In this condition the power consumption is controlled and monitored. Real experiment has been performed under proposed algorithm. The experimental result shows that the power consumption of smart LED can be saved up to 55.95% with the error rate 5%.
Multi-node Wireless Sensor Networking System on LED Lamp Fitting Application
Daniar Estu Widiyanti,Ramdhan Nugraha,Muhammad Wicaksono,Soo Young Shin 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
Electricity is the most essential energy in the world. In general, all devices and tools that are used for productive purposes require electricity as a power source. Lighting is one of the factors contributing to the increased demand for electricity; thus, this research proposed a technology that can save electricity while remaining efficient and can be monitored from anywhere. Using Internet of Things (IoT) concept, monitoring can be done easily from an application. Latency, jitter and throughput are used for testing each node as testing parameters. Result shown that the smallest latency value is 28,2312ms, smallest jitter testing is 4,7952ms and the smallest throughput is 9,781ms.