• International Journal of Internet, Broadcasting and Communication
• /
• 제16권3호
• /
• pp.388-393
• /
• 2024

The convergence of machine learning and smart farm is becoming more and more important. The purpose of this research is to quantitatively analyze machine learning and smart farm with bibliographic data from 2013 to 2023. This study analyzed the 251 articles, filtered from the Web of Science, with regard to the article publication trend, the article citation trend, the top 10 research area, and the top 10 keywords representing the articles. The quantitative analysis results reveal the four points: First, the number of article publications in machine learning and smart farm continued growing from 2016. Second, the article citations in machine learning and smart farm drastically increased since 2018. Third, Computer Science, Engineering, Agriculture, Telecommunications, Chemistry, Environmental Sciences Ecology, Material Science, Instruments Instrumentation, Science Technology Other Topics, and Physics are top 10 research areas. Fourth, it is 'machine learning', 'smart farming', 'internet of things', 'precision agriculture', 'deep learning', 'agriculture', 'big data', 'machine', 'smart' and 'smart agriculture' that are the top 10 keywords composing authors' keywords in the articles in machine learning and smart farm from 2013 to 2023.

• 한국기계가공학회지
• /
• 제21권9호
• /
• pp.21-27
• /
• 2022

The rotorcraft engine gearbox transmits the power generated by the turboshaft engine to the rotor by reducing the rotational speed and increasing the torque. The core of the rotorcraft engine gearbox is lightweight performance, which requires maximum weight reduction within the range that meets various requirements and constraints. Therefore, lightweight design through gear macro geometry optimization is necessary. In this study, gear macro geometry optimization was performed to reduce the weight of a rotorcraft engine gearbox. NSGA-III was used for the optimization, resulting in a combination of the gear ratio and macro geometry that minimizes the weight of the total gear. In addition, the safety factor of the gears satisfied the given conditions.

• 한국경영과학회지
• /
• 제17권2호
• /
• pp.145-162
• /
• 1992

This paper proposes two design principles for expert systems to solve a stock market timing (SMART) problems : machine knowledge and fuzzy post-adjustment, Machine knowledge is derived from past SMART instances by using an inductive learning algorithm. A knowledge-based solution, which can be regarded as a prior SMART strategy, is then obtained on the basis of the machine knowledge. Fuzzy post-adjustment (FPA) refers to a Bayesian-like reasoning, allowing the prior SMART strategy to be revised by the fuzzy evaluation of environmental factors that might effect the SMART strategy. A prototype system, named K-SISS2 (Knowledge-based Stock Investment Support System 2), was implemented using the two design principles and tested for solving the SMART problem that is aimed at choosing the best time to buy or sell stocks. The prototype system worked very well in an actual stock investment situation, illustrating basic ideas and techniques underlying the suggested design principles.

• 한국인터넷방송통신학회논문지
• /
• 제19권3호
• /
• pp.121-126
• /
• 2019

최근에 사물인터넷이라고 불리는 IoT 기술은 산업전반에 걸쳐 널리 활용되고 있다. 본 논문에서는 주변에서 흔히 볼 수 있는 자판기의 불편함을 해소한 새로운 IoT 기반 스마트 자판기 시스템을 제안한다. 이는 사용자에게는 현금이 없이도 물건 구매가 가능하게 하고 자판기 관리자에게는 재고 및 판매가 편리하게 할 수 있어 관리비용을 절약시켜 준다. 본 스마트 자판기의 제작을 위해 객체지향 분석 방법인 UML을 이용한 분석 예시 및 그것을 활용한 플로우차트 및 화면 설계 예시를 제시한다. 또한 이는 본 제안방법이 IoT 기반 스마트 자판기 상용화 시스템 제작의 가이드라인으로 유용하게 활용될 수 있음을 보여준다.

• Smart Structures and Systems
• /
• 제14권4호
• /
• pp.517-539
• /
• 2014

The combined use of smart materials, complementing each others' characteristics and resulting in devices with optimised features, is providing new solutions in many industries. The use of ingenious combinations of smart materials has led to improvements in actuation speed and force, signal-to-noise ratio, sensor precision and unique capabilities such as self-sensing self-healing systems and energy autonomy. This may all give rise to a revival for numerous families of smart materials, for which application proposals had already reached a stationary situation. It may also provide the boost needed for the definitive industrial success of many others. This study focuses on reviewing the proposals, preliminary studies and success cases related to combining smart materials to obtain multifunctional, improved systems. It also examines the most outstanding applications and fields for the combined use of these smart materials. We will also discuss related study areas which warrant further research for the development of novel approaches for demanding applications.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권5호
• /
• pp.1516-1539
• /
• 2022

This article shows a set of physical information fusion IoT systems that we designed for smart buildings. Its essence is a computer system that combines physical quantities in buildings with quantitative analysis and control. In the part of the Internet of Things, its mechanism is controlled by a monitoring system based on sensor networks and computer-based algorithms. Based on the design idea of the agent, we have realized human-machine interaction (HMI) and machine-machine interaction (MMI). Among them, HMI is realized through human-machine interaction, while MMI is realized through embedded computing, sensors, controllers, and execution. Device and wireless communication network. This article mainly focuses on the function of wireless sensor networks and MMI in environmental monitoring. This function plays a fundamental role in building security, environmental control, HVAC, and other smart building control systems. The article not only discusses various network applications and their implementation based on agent design but also demonstrates our collaborative information fusion strategy. This strategy can provide a stable incentive method for the system through collaborative information fusion when the sensor system is unstable in the physical measurements, thereby preventing system jitter and unstable response caused by uncertain disturbances and environmental factors. This article also gives the results of the system test. The results show that through the CPS interaction of HMI and MMI, the intelligent building IoT system can achieve comprehensive monitoring, thereby providing support and expansion for advanced automation management.

• 한국멀티미디어학회논문지
• /
• 제16권2호
• /
• pp.190-197
• /
• 2013

최근 국내외 플랫폼 업체와 이동통신사들이 서로 다른 스마트 플랫폼을 채택하여 사용함으로 인해 개발자는 하나의 스마트 콘텐츠를 서비스하기 위하여 각각의 스마트 플랫폼 특성에 맞추어 콘텐츠를 개발하거나 변환 작업을 해야 한다. 하지만, 기존의 스마트 콘텐츠를 다른 스마트 플랫폼으로 이식하기 위한 변환 작업에 많은 시간과 비용이 소모되고 있다. 이런 이유로 최근에 개발 언어의 제약 없이 한번 프로그램을 작성하면 어떤 플랫폼에서도 실행할 수 있는 OSMU(One Source Multi Use)의 핵심기술인 스마트 크로스 플랫폼(Smart Cross Platform) 또는 하이브리드 플랫폼(Hybrid Platform)에 관한 관심이 높아져 폰갭(PhoneGap), HTML5를 기반으로 한 센차터치(Sencha Touch)와 같은 시스템이 소개되고 있다. 본 논문에서는 플랫폼에 의존적인 기존의 Android나 iOS, Windows Phone과 달리 스마트 기기에 탑재되어 플랫폼에 독립적으로 응용 프로그램을 다운로드하여 실행할 수 있는 스마트 크로스 플랫폼 기반의 스마트 가상기계(Smart Virtual Machine)를 개발하였다. 스마트 가상기계는 Java 언어를 사용하는 썬 마이크로시스템스사의 JVM이나 C/C++/C# 언어를 사용하는 마이크로소프트사의 .NET 프레임워크와 같은 기존 기술들과 차별적으로 C/C++와 Java 언어를 모두 지원하여 콘텐츠 개발자들로 하여금 개발 언어 선택의 제한 없이 스마트 콘텐츠를 개발 할 수 있는 환경을 제공하여 준다.

• 스마트미디어저널
• /
• 제12권1호
• /
• pp.47-53
• /
• 2023

최근 정보통신기술을 농업과 접목해 새로운 가치를 창출하는 스마트팜 연구가 활발하게 진행되고 있다. 국내 스마트팜 기술이 농업 선진국 수준의 생산성을 가지기 위해서는 기계 학습을 활용한 자동화된 의사결정이 필요하다. 그러나 현재의 스마트 온실 데이터 수집 기술은 빅데이터 분석이나 기계 학습을 수행하기에 충분하지 않다. 본 논문에서는 자율 기계 학습을 위한 스마트 온실 데이터 전처리 시스템을 설계하고 구현한다. 제안하는 시스템은 대상 데이터를 다양한 전처리 기법에 적용하고 평가를 수행하여 최적 전처리 기법을 탐색하고 저장한다. 이렇게 탐색 된 최적 전처리 기법은 새롭게 수집된 데이터에 대하여 전처리를 수행하는데 활용된다.

• 한국산업융합학회 논문집
• /
• 제23권3호
• /
• pp.507-513
• /
• 2020

Liquid filling machines are frequently used in packaging fields; however, there exists a problem in precisely measuring the quantity of the liquid. In the case where the liquid filling machine is not properly metered, there may be issues, such as the fluid exceeding the capacity or chemicals being exposed outside. In this paper, we propose a smart injection nozzle device that can solve the issues stated above. The proposed smart injection nozzle can raise the nozzle according to the water level to remove bubbles and inject the accurate amount of fluid. In addition, the efficiency of the logistics process is enhanced by the smart QR code. Through experiments using the developed smart injection nozzle device, we have noticed that the accuracy of injection capacity, nozzle position, reaction time and building data exceeded the target value. Therefore, it expected that this machine will give more production and save a lot of manpower for packaging industry.

• International Journal of Advanced Culture Technology
• /
• 제7권1호
• /
• pp.209-215
• /
• 2019

In order to provide a safe free-weight-training environment to people without workout trainers, we suggest a smart bench press machine with an automatic weight control system sensitive to user tiredness. Physical weight plates on the machine are replaced with a hydraulic cylinder as a press load and the cylinder knob is coupled with a step motor to change its tensile force automatically in-between lifting exercises. Three subjects participated to verify the usability of the smart bench press machine. They were asked to lift a 6-RM press load 10 times with 3 different lifting conditions: 1) no assistance, 2) a human assistance, and 3) the automatic weight control. All subjects were not able to complete the 10 sets without assistance due to tiredness, but they finished the full sets under the two assistive conditions. Average lifting speeds under the automatic weight control condition showed the most consistent level. Normalized quasi-tension data based on surface electromyogram signals of both Pectoralis Majors revealed that the subjects maintained the target muscle activation level above 50% but not more than 80% throughout the 10 sets. Therefore, the smart bench press machine is expected to both keep pace with the lifting exercise and reduce risk of injuries due to excessive muscle tensions.