• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.1-23
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• 2014

Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.

• Journal of Environmental Health Sciences
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• v.45 no.1
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• pp.54-61
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• 2019

Objectives: In this study, we investigated an assessment for exposure levels of hazardous substances to kids cafes that unregulated by law. Methods: Heavy metals, volatile organic compounds, formaldehyde, pesticides and phthalate were measured at 20 kids cafes in Gyeonggi-do and Incheon. Samplings were conducted from April to July in 2018. Results: Heavy metals were detected over the standard mainly around the floor and walls in the 19 kids cafes. Pesticides were detected in 7 locations with chlorpyrifos, diazinon and cypermethrin, and showed the highest detection level of chlorpyrifos. The concentrations of DEHP in all kids cafes were exceeded with standard. The risk assessment results showed that HCHO as carcinogen had a safety level and DEHP as non-carcinogens had a safety level as assessed to be under than 0.1. Conclusions: Considering the exposure investigation results and the importance of child health protection, kids cafe should be included in the legal management list of children's activities zones.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.165-166
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• 2020

Internationally, manufacturers attempted respectable portion of in-house logistics to satisfy end users and decrease manpower to compete for manufacturing price and quality optimization. Mostly, manufacturers operate variety of facilities such as collaborative robots, conveyor, etc. based on PLC. To achieve it, manufactures shall operate the optimized number of manufacturing processes with logic controlled by computer to reduce human errors. In prior to it, manufacturing industry still own plenty of fields which have not yet been adjusted with automation. For example, we shall put in-house logistics on the issue. This study focuses on manufacturing industry, evaluate efficiency, costs, etc. in all aspects and suggest alternatives by analysis SWAT and OEE, let alone reason of weakness.

• The Journal of Bigdata
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• v.8 no.2
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• pp.27-36
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• 2023

The logistics industry is becoming increasingly important as it is closely linked to our daily lives, storing and transporting the goods and resources that businesses and consumers need. With its growing importance, the logistics industry strives to provide efficient and sustainable services through innovations and artificial intelligence are being used to optimize logistics networks, make transport more environmentally friendly, and more. Research and improvements are being undertaken in various domains, such as logistics network optimization and environmentally friendly transportation through technological innovation and artificial intelligence; however, there still needs to be more research in certain aspects of the logistics industry. In particular, devising an optimized stowage plan for vehicle carriers, considering various factors, involves a significant degree of complexity and remains an under-researched area. This paper studies the loading and unloading algorithms that enable to quickly and efficiently establish stowage plans for vehicle carriers, reflecting a variety of considerations and rules for stowage planning.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.205-216
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• 2016

Electronics industry provides more revenue and jobs, and plays an important role in a variety of fields. During recent changes to the industrial strategy by IT convergence technology development and global economic integration, Global Value Chain(GVC) of the ICT industry has been expanded. The global value chain is a structure consisting of the global dimension in all the processes of business activity for value-added production, R&D, manufacturing, sales, A/S etc. The purpose of this study is to analyze the GVC in the electronics industry and GVC promote practice of Samsung Electronics and LG Electronics. GVC of the electronics industry was developed from 1980, and established manufacturing plant in the United States and Canada. GVC has moved to low-cost countries such as China, Taiwan and India to cut costs, In recent years, because of the rising labor and production costs in China, manufacturing plants move to the Vietnam that has relatively cheap production base. To develop consistently, Korean electronics companies should carry out a new strategy such as item and brand marketing to exporting country.

• Journal of the Korean Society of Industry Convergence
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• v.20 no.4
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• pp.265-273
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• 2017

Major industries in Gyeongnam area include robot and automobile manufacturing, shipbuilding, and aviation. According to the research, the mechanical part of the products has been advanced, but awareness over the improvement of quality of the software still lacks. The quality performance test presently conducted by the companies in Gyeongnam is mostly the manual performance test performed by the program manager. In order to systematize this and extend the range of using software testing tools, the current study intends to suggest the necessity for conducting a survey on demand to improve performance and securing testing tools such as measured data analysis. Accordingly, this study is going to investigate 33 companies in Gyeongnam related with software in each of the major business areas centering around the actual field and examine activities related to software quality. And after figuring out the current status of retaining testing tools, the study will suggest the ways to enhance recognition over software quality and propose ultimate solutions to solve the problems on the current stage by finding out how to share information as much as possible in order to lay the foundation for extending the range of activity for the sake of software quality.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.499-507
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• 2016

The era of IoT, which figures exchanging data from the internet between things is coming. Recently, former electric power energy policy paradigm, namely Supply side paradigm, is changing, because electric power energy consumption is rapidly increasing. As new paradigm for this limit, convergence of existing electric power grid and ICT(Information and Communication Technology) will accelerate intellectualization of electric power device, its operation system. This change brought opened electric power grid. Consequently, attacks to the national electric power grid are increasing. On this paper, we will analyze security threats of existing IoT, discuss security weakness on electric power industry IoT and suggest needed security requirements, security technology.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.959-966
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• 2020

With the growing importance of the fishery industry and the rapid growth of the aquaculture industry, research on smart farms through ICT convergence in the aquaculture field is in progress. To enable monitoring of the growing environment at the farm site, an underwater drone drive unit, an image collection device, an integrated controller for posture stabilization, and a remote control device capable of controlling and controlling drones through real-time underwater images were proposed, and design, development, and tests were conducted. By utilizing underwater drones, it is possible to replace the supply and demand of manpower and high-cost work in the aquaculture industry, and to manage fish farms in a stable manner by reducing the probability of farming deaths.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.347-358
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• 2016

ICT sector has been made a great deal of achievements for past 20 or more years in the aspects of the industrial promotion and the efficiency improvement under the strong leadership by the government for the informatization and still leads the Korean industries. However, the previous studies are mostly on how the quantitative growth of patents impacts a company's management achievements while being insufficient on the qualitative level. In this study, an analysis is attempted on the impact from the qualitative level of patents held by a ICT company leading Korean industry to its management achievements. In other words, if the concentration of technological innovation activities, a scale to measure the qualitative level of possessed patents is influential to the growth and the profit of a company is analyzed. The analysis result shows that the current time technological superiority index, RTA and the concentration index, CRn of the technological innovation activities significantly impact to the growth and the profit of company. This study demonstrates the positive impact from a highly qualitative level of patents to the growth and the profit of a company in ICT sector in the current circumstance of insufficient researches on the qualitative level of patents. Therefore, this study is expected to present a new start point for the future studies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2677-2682
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• 2015

Smart factory has the function of integrated management of production process management, logistics management as a intelligent factory, it is also emerging as the core of new industry which converges ICT and manufacturing business. We suggested Smart factory logistics management system which embedded position tracking technology and the system converges ICT and IoT. This suggested system can manage all the processes from production to release by tracking route and position based on signal strength of bluetooth 4.0 beacon tag. For the more, we will expect to apply to the various type of factory environments like detachable installation, optimized management using sensor.