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Development of Multilayer Perceptron Model for the Prediction of Alcohol Concentration of Makgeolli
( Joonyong Kim ),( Shin-joung Rho ),( Yun Sung Cho ),( Eunsun Cho ) 한국농업기계학회 2018 바이오시스템공학 Vol.43 No.3
Purpose: Makgeolli is a traditional alcoholic beverage made from rice with a fermentation starter called “nuruk.” The concentration of alcohol in makgeolli depends on the temperature of the fermentation tank. It is important to monitor the alcohol concentration to manage the makgeolli production process. Methods: Data were collected from 84 makgeolli fermentation tanks over a year period. Independent variables included the temperatures of the tanks and the room where the tanks were located, as well as the quantity, acidity, and water concentration of the source. Software for the multilayer perceptron model (MLP) was written in Python using the Scikit-learn library. Results: Many models were created for which the optimization converged within 100 iterations, and their coefficients of determination R<sup>2</sup> were considerably high. The coefficient of determination R<sup>2</sup> of the best model with the training set and the test set were 0.94 and 0.93, respectively. The fact that the difference between them was very small indicated that the model was not overfitted. The maximum and minimum error was approximately 2% and the total MSE was 0.078%. Conclusions: The MLP model could help predict the alcohol concentration and to control the production process of makgeolli. In future research, the optimization of the production process will be studied based on the model.
Prediction of Alcohol Concentraion of Makgeolli with Multilayer Perceptron Model
( Joonyong Kim ),( Shin-joung Rho ),( Yun Sung Cho ),( Seokkyu Kim ),( Eunsun Cho ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Makgeolli is a traditional alcoholic beverage made from rice with a fermentation starter called ‘Nuruk’. The concentration of alcohol of Makgeolli depends on temperature of a fermentation tank. It is important to monitor the concentration in order to manage the Makgeolli production process. Data for learning were collected from 40 fermentation tanks during a month. Independent variables were temperatures of tanks and room, quantity, acid and water concentration of source. Software for multilayer perceptron model was written in Python with scikit-learn library. The coefficient of determination R<sup>2</sup> of training and test were 0.89, and 0.80 respectively. This model could help to predict alcohol concentration and to control production process of Makgeolli.
Joonyong SHIM,Jae-Min JUNG,Dae-hyeon Byeon,Sunghoon JUNG,Wang-Hee Lee 한국응용곤충학회 2020 Journal of Asia-Pacific Entomology Vol.23 No.3
Anoplophora glabripennis (Motschulsky) (Coleoptera: Cerambycidae), a global forest pest, has a potential to damage forests in South Korea, requiring an effective tool for evaluating its potential distribution. This study aimed to evaluate the spatial distribution of A. glabripennis in South Korea by simultaneously considering climate and host plants. Climatic suitability was firstly evaluated using a CLIMEX model; then, it was combined with the areal distribution of host plants using a simple mathematical formulation. We finally projected the spatial distribution of A. glabripennis onto the map of administrative districts to identify hazardous areas to watch. As a result, the developed model predicted that over 40% of areas in South Korea could be exposed to A. glabripennis damage, and most of them were located in mountainous areas with abundant host plants. In addition, climatic suitability was higher in coastal areas, which was different than a previous record of A. glabripennis occurrence, while the prediction by a comprehensive model was consistent with the record. In conclusion, the model including both climate and host plant occurrence was more reliable than the model which only included climate, and could provide useful data for determining areas for monitoring and control.
Development of Sensor Node Complying with Communication Interface Standard for Smart Farm
( Joonyong Kim ),( Tusan Park ),( Se-yong Yi ),( Dae-hyun Jung ),( Soo-hyun Park ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
A sensor node is a basic unit of a greenhouse control system. It collects environment data and sends them to a controller. In order to communicate with a controller, it is important to share a communication protocol between a sensor node and a controller. The objectives of this research were to implement a sensor node complying with a communication interface standard between a sensor node and a controller and to evaluate it. The TTAK.KO-06.0288-Part1/R1 was selected as a communication interface standard and it was analyzed and implemented a c++ library, libgnode. A sensor node was designed as two types - wired and wireless connection type. Both sensor nodes can communicate with controllers using the libgnode library. The two sensor nodes and two controllers were installed in a test greenhouse located in Gangleung, Korea. The libgnode can be utilized to improve the interoperability between components of a greenhouse control system.
Development of Sensor Node Prototype using Solar Module with Dual Purpose
( Joonyong Kim ),( Young-moo Jung ),( Ji-soo Kim ),( Joong-yong Rhee ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
A pyranometer, which measures solar radiation, is expansive for a farmer to use. The solar module used as a power source could be used to measure solar radiation. This research was to develop a sensor node with a solar module. Three research parts have been set up to effectively develop the node. The first part is to tune an artificial intelligence model that can calculate solar radiation using short circuit current of solar module and weather information. The second part is to design a sensor node considering the power consumption and capacity of power. The third part is to develop a gateway that can be used to receive and process the transmitted data wirelessly. The prototype had worked for a month with 98% transmission rate. Since the voltage of battery changed within 5.6~6.4V, it would be enough to operate continuously. It is possible to supply a cheaper sensor node for measuring solar radiation rather than a pyranometer.
A CROSS-CULTURAL STUDY ON THE EFFECT OF CAUSES OF NEED IN CHARITY ADVERTISING
Joonyong Seo,Younghwa Lee,Sukki Yoon 글로벌지식마케팅경영학회 2020 Global Marketing Conference Vol.2020 No.11
When considering donation, donors may evaluate causes of need and deservedness of recipients (Bekers & Wiepking, 2011). The plight of recipients may be attributed to their misbehaviors (e.g., laziness) or social problems (e.g., poor welfare), which in turn influences donation decisions. To maximize persuasiveness of donation appeals, therefore, marketers of charity events should decide how to describe donation recipients. How potential donors perceive recipient responsibility also interacts with donor characteristics (Lee, Winterich, & Ross, 2014). We investigate how causes of need interact with donors’ cultural background to determine reactions to donation appeals. Drawing upon research on the cultural differences in thinking styles and causal attributions (Fiske, Kitayama, Markus, & Nisbett, 1998), we propose that donation appeals are better accepted when there is a correspondence between donors’ cultural background and causes of need than when such correspondence lacks. We find that Westerners and Easterners show distinctive reactions to charity appeals that present different causes of need. Specifically, we demonstrate that Westerners are more attracted to appeals with external causes, whereas Easterners are relatively unconcerned about causes of need. We also offer insight into the process via empathy and outcome efficacy through which cause of need and culture collaboratively affect persuasiveness of charity appeals. Empathy drives the effect for both Westerners and Easters; outcome efficacy drives the effect for Westerners only.
Building a Private Cloud-Computing System for Greenhouse Control
( Joonyong Kim ),( Chun Gu Lee ),( Dong-hyeok Park ),( Heun Dong Park ),( Joong-yong Rhee ) 한국농업기계학회 2018 바이오시스템공학 Vol.43 No.4
Purpose: Cloud-computing technology has several advantages, including maintenance, management, accessibility, and computing power. A greenhouse-control system utilizing these advantages was developed using a private cloud-computing system. Methods: A private cloud needs a collection of servers and a suite of software tools to monitor and control cloud-computing resources. In this study, a server farm, operated by OpenStack as a cloud platform, was constructed using servers, and other network devices. Results: The greenhouse-control system was developed according to the fundamental cloud service models: infrastructure as a service, platform as a service, and software as a service. This system has four additional advantages - security, control function, public data use, and data exchange. There are several considerations that must be addressed, such as service level agreement, data ownership, security, and the differences between users. Conclusions: When the advantages are utilized and the considerations are addressed, cloud-computing technology will be beneficial for agricultural use.
Multilayer Perceptron Model to Estimate Solar Radiation with a Solar Module
( Joonyong Kim ),( Joongyong Rhee ),( Seunghwan Yang ),( Chungu Lee ),( Seongin Cho ),( Youngjoo Kim ) 한국농업기계학회 2018 바이오시스템공학 Vol.43 No.4
Purpose: The objective of this study was to develop a multilayer perceptron (MLP) model to estimate solar radiation using a solar module. Methods: Data for the short-circuit current of a solar module and other environmental parameters were collected for a year. For MLP learning, 14,400 combinations of input variables, learning rates, activation functions, numbers of layers, and numbers of neurons were trained. The best MLP model employed the batch backpropagation algorithm with all input variables and two hidden layers. Results: The root-mean-squared error (RMSE) of each learning cycle and its average over three repetitions were calculated. The average RMSE of the best artificial neural network model was 48.13 W·m-2. This result was better than that obtained for the regression model, for which the RMSE was 66.67 W·m-2. Conclusions: It is possible to utilize a solar module as a power source and a sensor to measure solar radiation for an agricultural sensor node.