• Journal of Digital Policy
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• v.2 no.4
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• pp.17-23
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• 2023

In this paper, in order to improve production processing for small and medium-sized precision processing companies, we apply a manufacturing execution system to existing process methods and integrate precision processing data to strengthen process management within the company, increase facility operation efficiency, and realize a reduction in defect rates. The differences in productivity improvement and cost reduction rates were compared and analyzed. As a result, production productivity improved by 7.0% and product defect rate improved by 0.1% point due to the introduction of the manufacturing execution system. It was confirmed that manufacturing cost reduction improved by 10.0% and delivery compliance rate improved by 1.1%. If additional smart factory technology is applied based on the manufacturing execution system proposed in this study in the future, sales and profits in the processing industry are expected to increase due to an increase in the PQCD index.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.349-356
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• 2024

By 2025, South Korea is expected to enter an ultra-aged society with the elderly comprising 20.6% of the population. We measured changes in health status before and after by the use of a "Cognition-Emotion Enhancement Chatbot Integrated Product" among Baby Boomer generation women. Fifty participants, proficient in smart device usage and willing to provide data, were selected from health communities in Seoul. After excluding some applicants, 43 Baby Boomer women were analyzed. Results revealed significant differences in post-chatbot use physical activity (43.5.21 ± 1310.39 MET) and depression levels (6.84 ± 3.53). Correlation between the two variables was not statistically significant. The findings suggest specific effects of the chatbot on physical activity and depression, emphasizing the need for future research with diverse health indicators.

• Korean Chemical Engineering Research
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• v.58 no.3
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• pp.346-355
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• 2020

This study proposed a new optimization-based decision model for an enterprise resource planning and production scheduling of a pharmaceutical intermediates manufacturing plant. To do this work, we first define the inflow and outflow information as well as the model structure, and develop an optimization model to minimize the production time (i.e., makespan) using a mixed integer linear programing (MILP). The unique feature of the proposed model is that the optimal process scheduling is established based on real-time resource logistics information using a radio frequency identification (RFID) technology, thereby theoretically requiring no material inventories. essential information for process operation, such as the required amount of raw materials and estimated arrival timing to manufacturing plant, is used as logistics constraints in the optimization model to yield the optimal manufacturing scheduling to satisfy final production demands. We illustrated the capability of the proposed decision model by applying the optimization model to two scheduling problems in a real pharmaceutical intermediates manufacturing process. As a result, the optimal production schedule and raw materials order timing were identified to minimize the makespan while satisfying all the product demands.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.161-170
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• 2019

Multi-product mass production small and medium enterprise factories have a wide variety of products and a large number of products, wasting manpower and expenses for inventory management. In addition, there is no way to check the status of inventory in real time, and it is suffering economic damage due to excess inventory and shortage of stock. There are many ways to build a real-time data collection environment, but most of them are difficult to afford for small and medium-sized companies. Therefore, smart factories of small and medium enterprises are faced with difficult reality and it is hard to find appropriate countermeasures. In this paper, we implemented the contents of extension of existing inventory management method through character extraction on label with barcode and QR code, which are widely adopted as current product management technology, and evaluated the effect. Technically, through preprocessing using OpenCV for automatic recognition and classification of stock labels and barcodes, which is a method for managing input and output of existing products through computer image processing, and OCR (Optical Character Recognition) function of Google vision API. And it is designed to recognize the barcode through Zbar. We propose a method to manage inventory by real-time image recognition through Raspberry Pi without using expensive equipment.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.6
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• pp.221-228
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• 2018

With an increase in demand for the high added value of shipbuilding and marine industry based on the information and communications technology (ICT), software technology has become more important than ever in the industry. In this paper, we present the result of our preliminary investigation on the current software development environment in the shipbuilding and marine industry in order to develop reusable software component, which can enhance the competitiveness of software development. The investigation is performed based on the survey answers from 34 developers who are working in different shipbuilding and marine companies. The questionnaire is composed of items to gather the information of each company such as the number of employees and product domain, and actual software development environment such as operating system, programming languages, deployment format, obstacles for developing components, and the adoption of software development methods and tools. According to the results of the survey, the most important consideration to select their development platform was the number of available utilities and the technical supports, followed by performance, price and security problems. In addition, the requirements of various platforms supporting and the higher reliability, and the limitations of low development cost and manpower made it difficult for them to develop reusable software components. Finally, throughout the survey, we find out that only 15% of developers used software development processes and managed the quality to systematically develop their software products, therefore, shipbuilding and marine companies need more technical and institutional support to improve their ability to develop high qualified software.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.125-131
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• 2022

Recently, the prevalence of remotely managed patient care systems in medical institutions is increasing due to COVID-19. In particular, in the case of fluid monitoring, hospitals are considering introducing it as a system that can reduce patient safety and nurses' work. There are two products under development: a load cell method that measures weight and a method that detects drops of sap by infrared sensing. Although each product has differences in operation principle, sensor type, size, usage, and price, medical institutions are highly interested in the accuracy of the data obtained.In this study, two prototypes with different sensor methods were manufactured and the total amount of infusion per hour was measured to test the accuracy, which is the core of the infusion monitoring device. In addition, when there was an external movement, the change in the measured value of the sap was tested to evaluate the accuracy according to the measurement method. As a result of the experiment, there was a difference of less than 5% in the measurement value error of the two devices, and the load cell method showed a difference in the low-capacity measurement value and the infrared method in the high-capacity measurement value. As a result of this experiment, there was little difference in accuracy according to the sensor method of the infusion monitoring device, and it is considered that there is no problem in accuracy when used in a medical institution.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.3
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• pp.46-58
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• 2024

The purpose of this study is to understand the current status of the pet plant kit industry and determine the priorities for support policies to revitalize the industry. SWOT analysis assessed the industry's current state, and the Analytic Hierarchy Process (AHP) was used with industry professionals to prioritize support policies. The SWOT analysis results indicated that SO strategies involve leveraging government support policies to enhance marketing and developing eco-friendly DIY products. WO strategies include launching advertising campaigns to increase market recognition and establishing strategic partnerships to expand distribution. ST strategies focus on strengthening price competitiveness and proposing unique values, while WT strategies involve improving production processes and enhancing product quality based on consumer feedback. The AHP analysis identified 3 top-level and 12 sub-level evaluation items, with data collected from 17 expert surveys. The results showed the 'entry phase' (0.482), 'activation phase' (0.397), and 'advanced phase' (0.121) were prioritized, with 'organizing seminars' (0.181) as the most crucial subcategory and 'support for kit development' (0.020) as the least. The pet plant kit industry is in its early stages, and appropriate policy incubation can help activate the garden industry. This study provides foundational information on the industry's needs for activation.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.9
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• pp.359-366
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• 2021

A number of construction companies in Korea invest considerable human and financial resources to construct a system for managing apartment defect data and for categorizing repair tasks. Thus, this study proposes machine learning models to automatically classify defect complaint text-data into one of the sub categories of 'finishing work' (i.e., one of the defect repair tasks). In the proposed models, we employed two word representation methods (Bag-of-words, Term Frequency-Inverse Document Frequency (TF-IDF)) and two machine learning classifiers (Support Vector Machine, Random Forest). In particular, we conducted both binary- and multi- classification tasks to classify 9 sub categories of finishing work: home appliance installation work, paperwork, painting work, plastering work, interior masonry work, plaster finishing work, indoor furniture installation work, kitchen facility installation work, and tiling work. The machine learning classifiers using the TF-IDF representation method and Random Forest classification achieved more than 90% accuracy, precision, recall, and F1 score. We shed light on the possibility of constructing automated defect classification systems based on the proposed machine learning models.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.5
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• pp.133-138
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• 2022

Recently, as GPU performance has improved in HPC and artificial intelligence, its use is becoming more common, but GPU programming is still a big obstacle in terms of productivity. In particular, due to the difficulty of managing host memory and GPU memory separately, research is being actively conducted in terms of convenience and performance, and various CPU-GPU memory transfer programming methods are suggested. Meanwhile, recently many SoC (System on a Chip) products such as Apple M1 and NVIDIA Tegra that bundle CPU, GPU, and integrated memory into one large silicon package are emerging. In this study, data between CPU and GPU devices are used in such an integrated memory device and performance-related research is conducted during transmission. It shows different characteristics from the existing environment in which the host memory and GPU memory in the CPU are separated. Here, we want to compare performance by CPU-GPU data transmission method in NVIDIA SoC chips, which are integrated memory devices, and NVIDIA SMX-based V100 GPU devices. For the experimental workload for performance comparison, a two-dimensional matrix transposition example frequently used in HPC applications was used. We analyzed the following performance factors: the difference in GPU kernel performance according to the CPU-GPU memory transfer method for each GPU device, the transfer performance difference between page-locked memory and pageable memory, overall performance comparison, and performance comparison by workload size. Through this experiment, it was confirmed that the NVIDIA Xavier can maximize the benefits of integrated memory in the SoC chip by supporting I/O cache consistency.

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.63-71
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• 2000

대량생산체제를 위주로 했던 산업혁명 초기에는 원가계산방식이 비교적 수월하였다. 생산에 투입된 비용을 그대로 생산량으로 나누기만 하면 되었고 이 수치를 그대로 원가라고 간주하여도 기업이 존속하는데는 아무 영향이 없었다. 물론 이 때에도 간접비라는 것은 존재하였으나 그 비중이 미미했기에 이를 무시하여도 되었던 것이다. 그러나 그 때와 달리 지금은 기업환경은 다품종 소량생산, 고객 주문 생산 등의 다양한 형태로 변화되어 왔으며 유연생산시스템, 적시생산시스템 등과 같은 새로운 경영기법 및 생산관리 기법이 발달함에 따라 그간 무시되어 왔던 간접비가 오히려 직접비보다도 많아지는 현상이 생기게 되었다. 그래서 증가하는 간접비를 효과적으로 제품이나 서비스에 배부하여야 하는 필요성에서 연구가 시작되었고 그 결과로서 나온 원가계산방법이 활동기준원가계산시스템이다. 우리 나라에는 90년대 초반에 도입되어 여러기업이 시스템을 구축한 상태이며 이에 대한 사례를 연구한 논문도 발표되었다. 활동기준원가 계산시스템이 기존의 원가계산시스템보다 더 정교하다는 것은 많은 이미 많은 연구들에서 입증이 되었지만 그래도 실제 시스템의 구축에 있어서는 아직도 많은 연구과제가 남아있다. 본 연구는 시스템의 구축과정에서 핵심과정으로써 반드시 거쳐야 하는 활동분석단계에 관심을 두고 활동분석과정을 가능한 적은 비용으로 빠르게 수행하기 위한 방법을 모색하였다. 그 방법으로 선택한 것이 기존의 기업보유자료를 이용하여 활동분석을 수행하는 것으로 비록 활동분석데이터의 신뢰성에는 조금 부족한 면이 있을 수 있으나 기업보유자료가 활동분석과 개연성이 있음을 제시하고자 하였다. 한다.드가 전송한 패킷은 이전 셀 지역에 있는 에이전트가 새로운 셀 지역에 있는 이동 노드로 패킷을 재전송하여 전달하는 smooth 핸드오프 기능을 제공한다. 이전 셀 지역에 속한 외부 에이전트가 바인딩을 갱신하기 전에 송신 노드로부터 이동노드로 전달된 패킷이 있을 경우는 패킷을 저장하여 이후에 이동 노드의 위치 정보에 관한 바인딩 정보가 갱신되면 이러한 바인딩 정보에 따라 패킷을 재전송하는 버퍼기능도 제공한다. route optimization mobile IP는 기본적인 mobile IP에서의 복잡한 라우팅 문제를 해결하고, 핸드오프에서의 패킷 손실률을 최소화 한다.본 논문에서는 컴퓨터 시뮬레이션을 통해 smooth 핸드오프를 이용한 mobile IP의 성능을 분석한다. 일반적으로 데이터 트래픽 특성, 노드의 이동성, 바인딩 갱신시간, 버퍼관리 방법 등은 핸드오프 동안 mobile IP의 성능에 많은 영향을 미친다. 따라서 시뮬레이션 모델을 이용하여 다양한 트래픽 환경에서 위에 언급된 성능 파라미터들의 영향을 분석한다. 마지막으로 시뮬레이션 결과를 이용하여 mobile IP의 성능을 개선시키기 위한 방법을 제시한다. 제시하고자 한다.과로 여겨지며, 또한 혈청중의 ALT, ALP 및 LDH활성을 유의성있게 감소시키므로서 감잎 phenolic compounds가 에탄올에 의한 간세포 손상에 대한 해독 및 보호작용이 있는 것으로 사료된다.반적으로 홍삼 제조시 내공의 발생은 제조공정에서 나타나는 경우가 많으며, 내백의 경우는 홍삼으로 가공되면서 발생하는 경우가 있고, 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른