Design of Quadrotor UAV and Internet-of-Things Based Air Pollution Monitoring Systems

Air pollution is one of problems causing global warming that is currently taking a place. Several air quality monitoring devices usually located at the city center are only limited to display data at one point. Therefore, a mobile device to monitor air quality is needed so as to enable the monitoring in several points. This paper aims to design an air quality monitoring system based on quadrotor Unmanned Aerial Vehicle (UAV) and Internet-of-Things (IoT) technology. The sensor system is designed to detect CO, CO2, air quality, and temperature variables. This sensor systems was then integrated with quadrotor in order to make the monitoring process can be carried out at various points. Quadrotor was designed using Ardupilot Mega (APM) 2.6 as the flight controler. Measurement data from system sensor was transmitted wirelessly using internet network via Wi-Fi module. Based on the test results, the sensor system was able to detect concentration of several test gas and was linear to the output voltage. Quadrotor orientation parameters at takeoff produced transient responses in less than 1 second. The air pollution sensor parameter data could also be displayed every 10 seconds on the ThingSpeak and ThingView interfaces, and could be mapped based on the data retrieval coordinates

Statistical Approach To Design For Fall Prevention In Construction

During the past decades, the construction industry has been considered as one of the most vulnerable field to work-related injuries and fatalities, and fall accidents are the leading causes accounting for about one-third of the total fatal injuries happened in construction. Furthermore, more than 30% of fall fatal cases occurred in the projects under $ 300K in Korea where construction workers\u27 safety and health are not usually considered as top priorities because the contractors, who are normally small sized construction firms or self-employed, do not have safety budget to deal with construction workers\u27 safety. In this respect, this study focused on designers\u27 role in terms of fall prevention in the construction industry because the previous researchers have discussed the effectiveness of the design for construction safety concept and publishes it as a major issue in famous journals. However, from designers\u27 perspective, the concept has been considered as an impractical approach mainly due to their shortage of required knowledge and ability to deal with. This study found that sufficient time and cost are required for designers to progress from the awareness of design\u27s role on construction safety to competent professionals from the history of the CDM regulations established in the United Kingdom. This study first identified the relationship between design and 1,587 fatal fall cases occurred in Korea partly adopting the methodology of previous research, and then analyzed the dependent variable (linkage to design)\u27s relationship with 7 independent variables using statistical tools, which include construction end use, project type, project cost, age, fall height, location of falls, and SIC code. The author assumed that these independent variables\u27 relationship with design would provide designers with significant indications in regard to hazard identification and design solution integration on which less-experienced designers have difficulties when applying the design for construction safety concept. The outcomes of the statistical analysis show 6 independent variables except age have significant linkage to design, and especially design\u27s relationships with location of falls and SIC code are strong. Designers can obtain great benefits from these results because some variables, such as construction end use, project type, and location of falls, can provide designers with practical approach to hazard identification and design solution integration.

Generative Design of A 6-Axis Quadcopter Drone for Weight Optimization

A drone is an Unmanned Aerial Vehicle (UAV) that can be remotely controlled through software-controlled flight plans using embedded systems. The major challenge in UAV is to obtain the unique structure design of the 6-Axis quadcopter drone through different applied parameters. Hence, this research aims to design the best structure of a UAV drone, which optimizes the shape of materials and manufacturing methods while saving the cost of materials, parts, and design time during the manufacturing and assembly process. In this research, a mechanical structure of a UAV drone is sketched in Autodesk Inventor and Autodesk Fusion 360. Generative design is a process of defining the constraints and forces of the imaginary design; then, the software will calculate all the shape possibilities that satisfy the initial design parameters. Exploration tools such as detailed thumbnails, filters, and customizable scatter plots will assist in achieving the best match UAV drone design and its manufacturing requirements. The UAV using the generative design was set to a total weight less than 1kg, whereby the optimized maximum stress analysis is achieved at 5.028MPa with 83.00%, maximum displacement analysis at 0.666mm with 45.44%, and production time is at 15.5hours with 61.25% which improve the UAV weight optimization

Generative Design of A 6-Axis Quadcopter Drone for Weight Optimization

A drone is an Unmanned Aerial Vehicle (UAV) that can be remotely controlled through software-controlled flight plans using embedded systems. The major challenge in UAV is to obtain the unique structure design of the 6-Axis quadcopter drone through different applied parameters. Hence, this research aims to design the best structure of a UAV drone, which optimizes the shape of materials and manufacturing methods while saving the cost of materials, parts, and design time during the manufacturing and assembly process. In this research, a mechanical structure of a UAV drone is sketched in Autodesk Inventor and Autodesk Fusion 360. Generative design is a process of defining the constraints and forces of the imaginary design; then, the software will calculate all the shape possibilities that satisfy the initial design parameters. Exploration tools such as detailed thumbnails, filters, and customizable scatter plots will assist in achieving the best match UAV drone design and its manufacturing requirements. The UAV using the generative design was set to a total weight less than 1kg, whereby the optimized maximum stress analysis is achieved at 5.028MPa with 83.00%, maximum displacement analysis at 0.666mm with 45.44%, and production time is at 15.5hours with 61.25% which improve the UAV weight optimization

Block designs for experiments with non-normal response

Many experiments measure a response that cannot be adequately described by a linear model withnormally distributed errors and are often run in blocks of homogeneous experimental units. Wedevelop the first methods of obtaining efficient block designs for experiments with an exponentialfamily response described by a marginal model fitted via Generalized Estimating Equations. Thismethodology is appropriate when the blocking factor is a nuisance variable as, for example, occursin industrial experiments. A D-optimality criterion is developed for finding designs robust to thevalues of the marginal model parameters and applied using three strategies: unrestricted algorithmicsearch, use of minimum-support designs, and blocking of an optimal design for the correspondingGeneralized Linear Model. Designs obtained from each strategy are critically compared and shownto be much more efficient than designs that ignore the blocking structure. The designs are comparedfor a range of values of the intra-block working correlation and for exchangeable, autoregressive andnearest neighbor structures. An analysis strategy is developed for a binomial response that allows es-timation from experiments with sparse data, and its efectiveness demonstrated. The design strategiesare motivated and demonstrated through the planning of an experiment from the aeronautics industr

Design: One, but in different forms

This overview paper defends an augmented cognitively oriented generic-design hypothesis: there are both significant similarities between the design activities implemented in different situations and crucial differences between these and other cognitive activities; yet, characteristics of a design situation (related to the design process, the designers, and the artefact) introduce specificities in the corresponding cognitive activities and structures that are used, and in the resulting designs. We thus augment the classical generic-design hypothesis with that of different forms of designing. We review the data available in the cognitive design research literature and propose a series of candidates underlying such forms of design, outlining a number of directions requiring further elaboration

Optimizing the clinker production by using an automation model in raw material feed

The clinker production process involves much equipment and material flow; thus, an operating system is needed to regulate and manage the production process. XYZ company uses an operating system for clinker production called Cement Management Quality (CMQ). The CMQ operation on clinker production is considered semi-automatic because it requires many interventions from the operator. Furthermore, the program is limited under specific condition. As a result, the quality of the clinker is decreased, and the energy consumption is increased. The failure of clinker production is related to the CMQ system, and it is vital to solving the problem appropriately. Since the CMQ system is connected with many aspects, it is essential to find the root cause. Root Cause Analysis (RCA) method is suitable to find the root of the problem for a complex system. After researching using RCA, the main problems on the CMQ system is the data not appropriately integrated, and the process algorithm is insufficient. The new integration of data transfer and new algorithms are developed as an attempt to solve the issues. The new data integration model and algorithm are applied through the simulation method as a test case before taking complete corrective action on the CMQ system. The new model's application shows the standard deviation of the process is decreased under the specified threshold. The method provides good results for improving the quality of the clinker production process. It can be used as an essential reference for applying the automation model in the clinker production process

Mascot: An alternate method to prevent the misuse of visual assets in Indonesia's Covid 19 prevention campaign

This article discusses the use of visual assets during the covid-19 pandemic in Indonesia. There are regulations related to restrictions on movement for everyone during the pandemic, and there is much confusion in information, resulting in information chaos, and one of the reasons is the inappropriate use of visual assets as a medium for the Covid-19 prevention campaign in Indonesia. This study aims to identify the misuse of these visual assets. This study uses visual data spread on social media and observation to examine billboards, banners, and the like scattered in the community. In addition to visual data, interviews were also conducted with graphic designers. The questions asked were about the reasons for determining the design and their motivation in utilizing visual assets. The analysis is carried out by building relationships between the designs created, the use of visual assets, and contextual relationships with other interests outside the substance of the Covid 19 prevention campaign program in Indonesia. The results of the study show that visual assets are not used proportionally in conveying the Covid-19 prevention campaign in Indonesia. The conclusion is that there is no policy that provides direction regarding the provisions for the use of visual assets in preventing the Covid-19 health disaster in Indonesia. This research contributes to the government because this research finds a rule model for the use of visual assets in Indonesi