Building an Operational Solution Assistant System for Foreign SMEs in ROK

Foreign Direct Investment (FDI) is an important resource that helps accelerate the development of the country’s economy, add substantial funding to growth and facilitate technology transfer. Republic of Korea (ROK) is one of the world’s developed countries with dynamic economy, advanced science and technology. In recent years, the Korean government has continuously formulated tax policies, policies to support the business economy and import policies to support foreign businesses in Korea. The Pangyo Valley Creative Economy Valley is being groomed as a global startup hub in Asia. Small and medium enterprises (SMEs) in foreign countries are increasingly interested and eager to seek investment opportunities in the Korean market. Nonetheless, for these companies, language barriers and cultural and institutional differences make it more difficult and time-consuming to learn about the Korean market (such as investment trends, laws, visa policies, taxes and business establishment issues in Korea, etc.). In this study, we explored the process of searching information and seeking investment opportunities and built a business consulting and support application in the first stages of starting a business in ROK to increase effectiveness and save time, which is also an innovative business practice in Use-case ROK. We designed our Virtual Assistant system that can crawl and analyze data on foreign investments in ROK from open data resource websites (data.co.kr) and used analytic and aggregation techniques to explore trends in investments of foreign enterprises. We also researched the process of searching information and seeking investment opportunities for SMEs when investing in ROK, government support policies, laws and taxes as well as a number of other related issues. We built datasets and used Natural Language Processing (NLP) together with Natural Language Understanding (NLU) algorithms to build chatbot applications. Friendly framework for new developers to add and build up the dataset of AI Assistant is built by providing input intent data function, input Entity data function, input utterance data function as well as training and test function. In addition, we built a web-app connected to the server to visualize all the results of research so that SMEs owners can easily use and look for information on investments. Based on the research results, we can make recommendations to SMEs in keeping with the changing investment trends in ROK.

Existence and uniqueness of mild solutions for a fractional differential equation under Sturm-Liouville boundary conditions when the data function is of Lipschitzian type

In this article, we present a sufficient condition about the length of the interval for the existence and uniqueness of mild solutions to a fractional boundary value problem with Sturm-Liouville boundary conditions when the data function is of Lipschitzian type. Moreover, we present an application of our result to the eigenvalues problem and its connection with a Lyapunov-type inequality.

Preserving textile objects in Romanian wooden churches. Case study of the heritage wooden church form Oradea, Romania

It is important to investigate the indoor air quality, the microbial concentration of indoor air and surfaces for preserving the cultural heritage. In what regards the microclimate inside the historic monument, the wooden church, the temperature and relative humidity were monitored using the thermo-hygrometer with data function logger “Klimalogg Pro” (eight sensors), October-December 2018, the thermos-camera “Thermal Imaging Camera FLIR I7” and “Digi-Sense Data Logging Luxmeter”. Image analysis were also performed using digital image processing techniques (ARCGIS), mapping the areas damaged by temperature, humidity and also by rainwater infiltrated on canvas paintings, biodegradation, anthropically degraded areas etc. Isolation of microorganisms from the two canvas paintings and indoor air were taken though specific method, analyses showing the presence of microorganisms on the paintings, possible human pathogens especially for people with low immunity. A high fidelity database with the state of patrimony objects preserved in the Romanian wooden church and perspectives for their proper conservation could be created at a certain moment.

Indoor air quality of museums and conservation of textiles art works. Case study: Salacea Museum House, Romania

The present paper is analyzing the quality of the air (temperature, humidity, light, contamination with fungi) inside the Museum House from Salacea, Bihor county, and the influence of such factors on textile materials that are exposed inside it in the context of the need to protect the heritage elements and in order to diminish the risks related to human health: the inhabitants, the tourists, museographers and all those who have access to the interior. Monitoring of the temperature and humidity was carried out between 03.06.2018 and 02.07.2018 and we used the thermo-hygrometer with data function logger KlimaLogg Pro (seven sensors), and for other analyzed parameters: Luxmeter data logger Extech SDL400 Oxygen meter Extech SDL150. The fungal contamination was determined using Koch sedimentation method. Due to the fact that the low temperature together with the high air humidity of the ambient environment stimulates the formation of microorganisms and mold and high temperatures can dehydrate the fibers by diminishing their strength and decreasing their elasticity, therefore it is necessary to maintain the standard micro climate of temperature and humidity inside the museum house.

PEMODELAN PENGELUARAN PER KAPITA DAN PERSENTASE PENDUDUK MISKIN DI JAWA TENGAH MENGGUNAKAN REGRESI BIRESPON SPLINE TRUNCATED

The Central Bureau of Statistics states that the average per capita spending (Y1) of Central Java Community in 2016 is around 27.808 rupiah per day. This value is still considered low, because it covers all the needs of an individual's life. The low expenditure per capita indicates the low level of welfare. Another indicator that can be used to measure community welfare is the percentage of poverty (Y2). Through this variable can be known how proportion of people who still difficult to meet their needs. Many factors are suspected to affect welfare, one of which is the average variable of school length (X). This study aims to get the best model and know the goodness of the model. Approach is done by nonparametric regression that is regres biresponse spline truncated. Nonparametric approach is done when data function does not show certain pattern. The best spline truncated biresponse model is highly dependent on determining the order and location of the optimal knot point that has a minimum Mean Square Error (MSE) value. In this study, the best model is obtained when order of Y1 is 2 and order of Y2 is 2 with five knots. The location of the knot point obtained is 7,05; 7,17; 7,32; 9,82 and 10,29 with MSE value of 662634,2. The goodness of the model is measured based on R-Square and MAPE, R-Square=43,21%, means the variance of response variables that can be explained by the predictor variable are 43,21% while the rest is influenced by other variables and MAPE=14,25%. Based on the value of MAPE can be said that the model had a good performance. Keywords: Welfare, Expenditure, Percentage of Povery, Birespon Spline, Truncated, MSE

Filling Simple Holes of Triangular Mesh by using Enhanced Advancing Front Mesh (EAFM) method

Triangular meshes are extensively used to represent 3D models. Some surfaces cannot be digitised due to various reasons such as inadequacy of the scanner, and this generally occurs for glossy, hollow surfaces and dark-coloured surfaces. This cause triangular meshes to contain holes and it becomes difficult for numerous successive operations such as model prototyping, model rebuilding, and finite element analysis. Hence, it is necessary to fill these holes in a practical manner. In this paper, the Enhanced Advancing Front Mesh (EAFM) method was introduced for recovering missing simple holes in an object. The first step in this research was to extract the feature vertices around a hole on a 3D test data function. Then the Advancing Front Mesh (AFM) method was used to fill the holes. When conflicts occurred during construction of the triangle, the EAFM method was introduced to enhance the method. The results of the study show that the enhanced method is simple, efficient and suitable for dealing with simple hole problems.