• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.109-114
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• 2017

In this study, we have developed the active leakage current detection module based on a MSP430 processor, 16bit signal processor. This module can be operated in a desired trip threshold within 0.03 seconds as specified in KS C 4613. This developed module is expected to be applicable as a module for prevention of electric shock in smart distribution panel of smart grid.

• Smart Structures and Systems
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• v.1 no.2
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• pp.217-233
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• 2005

Elastic and electromagnetic waves can be used to gather important information about particulate materials. To facilitate smart geophysical characterization of particulate materials, their fundamental properties are discussed and experimental procedures are presented for both elastic and electromagnetic waves. The first application is related to the characterization of particulate materials using shear waves, concentrating on changes in effective stress during consolidation, multi-phase phenomena with relation to capillarity, and microscale characteristics of particles. The second application involves electromagnetic waves, focusing on stratigraphy detection in layered soils, estimation of void ratio and its spatial distribution, and conduction in unsaturated soils. Experimental results suggest that shear waves allow studying particle contact phenomena and the evolution of interparticle forces, while electromagnetic waves give insight into the characteristics of the fluid phase and its spatial distribution.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.331-334
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• 2012

최근 모바일 임베디드 단말기에서는 iOS나 안드로이드와 같이 다양한 S/W 플랫폼들이 경쟁을 하고 있다. 이에 반해 전통적인 리눅스 기반 임베디드 단말기의 경우 busybox에서 제공하는 기본 명령어 외에는 필요한 Application 및 라이브러리를 모두 빌드하여 사용하였다. 하지만 PC에서는 범용적인 리눅스 배포판을 사용하여 필요한 Application이나 라이브러리를 패키지 메니져를 통해 쉽게 설치가 가능하다. 이에 따라 임베디드 단말기에서도 범용 리눅스 배포판을 설치하여 PC 에서와 같은 장점을 취하려는 방법들이 개발되는 추세이다. 본 논문에서는 현재 개발된 방법들을 비교 분석 해보고, 앞으로 개선해야 할 사항들을 도출하고자 한다.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.196-203
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• 2019

We have reviewed the potential impact of blockchain technology on the music industry by analyzing the views of academia and the industry experts. The music industry had rapid changes from the physical market to the digital market in the past decades. The consumers download and stream music online and mobile during the digital dominant market. While streaming music has been recently growing at a fast rate, fair distribution of revenue to the artists continues to be an issue. Some industry experts believe that the issue of fair distribution of revenue to the artist may be resolved using blockchain technology, while some are skeptical about the application or the duration of impact. The blockchain may enhance speedier payment using smart contracts, provide additional revenue and promote the music if excellent fan support is achieved. The positive impact on the music industry may only be possible if there are detailed consideration of the industry and careful understanding of the customers.

• Journal of the Semiconductor & Display Technology
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• v.20 no.1
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• pp.42-47
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• 2021

In this study, we developed an application that can efficiently store and manage food ingredients in refrigerators. Rather than purchasing a new smart refrigerator, a small 'pocket scanner' is inserted inside the refrigerator using an existing refrigerator to track the location of food entering and leaving the refrigerator to efficiently organize the refrigerator and save time searching for ingredients. In addition, since it can automatically record the distribution period and purchase date, it notifies users through an alarm when the distribution period expires or is shortly left. As for the research method, after discovering the needs of users through in-depth interviews, the reactions of users were investigated by adding functions that fit those needs. Users felt satisfied with managing food efficiently through the 'pocket scanner' attached to the refrigerator and answered that it was very economical because various smart functions could be used without changing to a smart refrigerator. In the next study, we will also examine the usability of the application through usability evaluation.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.83-91
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• 2018

Purpose - The purpose of this study is to explore the introduction and activation of smart training for the effective training of vocational ability development of companies in the 4th industrial revolution era, we analyze the present status of smart training introduction and related difficulties and propose concrete activation plan. Research design, data, and methodology - Through the online survey, we tried to confirm the recognition of corporate about smart training. Questionnaires include what are the benefits, expectations, and difficulties of smart training, etc. The survey was conducted from August 21, 2017 to September 4, 2017. A total of 69 companies participated in the questionnaire. The questionnaire results were analyzed through frequency analysis and contents analysis. Based on the results of the questionnaire, we found out the cause of inhibition of smart training activation and suggested activation strategies. Results - The main reason for the provision of smart training is the expectation of the training performance and the recognition that it is possible to provide training in a flexible manner. The effectiveness of smart training operation was evaluated as a high level of contribution to the development of creative training course and the capacity of training institute. As a result of checking factors that hinders the activation of smart training, the most important reason is that the time and cost burden of the training institutes is excessive. The lack of expertise in the design of smart training courses and the burden of employers and trainees. Conclusions - In order to activate smart training, it is necessary to find solutions to the obstacles at the internal or external level of training institutions. The internal barriers to the training organization are lack of internal competence for preparation and course management. In this regard, we need to consider providing consulting, best practices or guidance in the process of designing and operating smart training. On the other hand, as an external obstacle factor, it is necessary to provide incentives to participate in smart training. In addition, further research is needed on strategies that can lead to participation in smart training from the viewpoint of employers and learners.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.4
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• pp.547-554
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• 2016

Analyze the customer daily load patterns, be used to determine the optimal charging and discharging schedule which can minimize the electrical charges through the battery energy storage system(BESS) installed in consumers is an object of this paper. BESS, which analyzes the load characteristics of customer and reduce the peak load, is essential for optimal charging and discharging scheduling to save electricity charges. This thesis proposes optimal charging and discharging scheduling method, using particle swarm optimization (PSO) and penalty function method, of BESS for reducing energy charge. Since PSO is a global optimization algorithm, best charging and discharging scheduling can be found effectively. In addition, penalty function method was combined with PSO in order to handle many constraint conditions. After analysing the load patterns of target BESS, PSO based on penalty function method was applied to get optimal charging and discharging schedule.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.1
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• pp.21-28
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• 2013

The paper proposes an optimal sizing method of a customer's battery energy storage system (BESS) which aims at managing the electricity demand of the customer to minimize electricity cost under the time of use(TOU) pricing. Peak load limit of the customer and charging and discharging schedules of the BESS are optimized on annual basis to minimize annual electricity cost, which consists of peak load related basic cost and actual usage cost. The optimal scheduling is used to assess the maximum cost savings for all sets of candidate capacities of BESS. An optimal size of BESS is determined from the cost saving curves via capacity of BESS. Case study uses real data from an apartment-type factory customer and shows how the proposed method can be employed to optimally design the size of BESS for customer demand management.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.509-523
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• 2015

With the introduction of smart devices as a new channel of information distribution, the mass tourism that has been dominating the travel scene is being transformed into individual tourism. Therefore, it is more than important to establish an advanced smart tourism environment using cutting-edge ICT technologies in order to go into one of tourism developed countries. In line with that, this study draws both local and international cases to show where smart tourism stands now by mapping out problems and solutions by category. Firstly, in terms of infrastructure, establishing distribution platform and big data analyzing systems were suggested. Secondly, to fit the needs of consumers, converged tourism content and user experience based content development are in need. Lastly, in terms of governance forming public-private consultative body and incubating creative tourism companies are suggested. The study results will serve as a fruitful reference to those who want to establish business strategy related to smart tourism.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.61-68
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• 2020

In the era of the fourth industrial revolution, many production plants are gradually evolving into smart factories that apply information and communication technology to manufacturing, distribution, production, and quality management. The conversion from conventional factories to smart factories has resulted in the automation of production sites using the internet and the internet of things (IoT) technology. Thus, labor-intensive production can easily collect necessary information. However, implementing a smart factory required a significant amount of time, effort, and money. In particular, labor-intensive production industries are not automated, and productivity is determined by human skill. A representative industry of such industries is sewing the industry. In the sewing industry, wherein productivity is determined by the operator's skills. This study suggests that production performance, inventory management and product delivery of the sewing industries can be managed efficiently with existing production method by using smart buttons incorporating IoT functions, without using automated machinery.