A5017947988- Urban Green Space and Health
- Recreation, Leisure, Wilderness Management
- Diverse Topics in Contemporary Research
- Ecology and Conservation Studies
- Iterative Learning Control Systems
- Food Safety and Hygiene
- Listeria monocytogenes in Food Safety
- Advanced Surface Polishing Techniques
- Control Systems in Engineering
- Advanced machining processes and optimization
- Food Supply Chain Traceability
- Diverse Approaches in Healthcare and Education Studies
- Advanced Machining and Optimization Techniques
- Microbial Inactivation Methods
- Diverse Aspects of Tourism Research
- Animal and Plant Science Education
- Hydraulic and Pneumatic Systems
- Identification and Quantification in Food
- Smart Agriculture and AI
- Advanced DC-DC Converters
- Technology and Data Analysis
- Surface Roughness and Optical Measurements
- Salmonella and Campylobacter epidemiology
- Adaptive Control of Nonlinear Systems
- Essential Oils and Antimicrobial Activity
Dankook University
2024
Sangmyung University
2020-2024
Hanyang University
2018
Semyung University
2018
Soongsil University
2018
Chonnam National University
2005-2015
Seoul National University
2012-2014
Pukyong National University
2005
Jeonbuk National University
2003
Oregon State University
1998
The Food Process Robot Intelligent System (FPRIS) integrates a 3D-printed six-axis robotic arm with Artificial Intelligence (AI) and Computer Vision (CV) to optimize automate the coffee roasting process. As an application of FPRIS roasting, this system uses Convolutional Neural Network (CNN) classify beans inside roaster control in real time, avoiding obstacles empty spaces. This study demonstrates FPRIS’s capability precisely Degree Roasting (DoR) by combining gas image sensor data assess...
Freezing extends the shelf-life of food by slowing down physical and biochemical reactions; however, ice crystal formation can result in irreversible damage to cell's structure texture. Supercooling technology has potential preserve original freshness without freezing damage. In this study, fresh asparagus was preserved a supercooled state its quality changes such as color, weight loss, texture, chlorophyll anthocyanin content, enzymatic activities (superoxide dismutase catalase) were...
This study discusses methods for the sustainability of freezers used in frozen storage known as long-term food methods. Freezing preserves quality a long time. However, it is inevitable to use freezer that uses large amount electricity store with this method. To maintain food, lower temperatures are required, and therefore more electrical energy must be used. In study, machine learning was performed using data obtained through test, an optimal inference model data. If applied selection...
Bread is one of the most consumed foods in world, and modern food processing technologies using artificial intelligence are crucial providing quality control optimization products. An integrated solution sensor data machine learning technology was determined to be appropriate for identifying real-time changing environmental variables various influences baking process. In this study, Baking Process Prediction Model (BPPM) created by data-based showed excellent performance monitoring analyzing...
Abstract This study compares normative standards for trail impacts measured using three alternatives suggested by the literature. During September and October 2002, data were collected from a survey of 281 day hikers at locations in Mudeung-Mountain Provincial Park, Korea. For overall photo evaluation method (OPEM), respondents asked to rate acceptability bare soil area each series photographs. specific method-1 (SPEM-1), select photograph that illustrated largest acceptable proportion 10...
A discrete-time sliding mode control (DSMC) with a decoupled disturbance compensator (DDC) is nonlinear and robust method, which suitable for slowly-varying disturbances. To effectively compensate the disturbances, gain of DDC should be designed in systematic way. This paper presents frequency-domain design method DSMC presence time delay. In addition, new generalized (GDDC) frequency domain, improves phase response as compared to conventional DDC. Experimental results on an industrial servo...
This paper presents an application of a discrete derivative method with new frequency mapping technique for adaptive-notch-filter (ANF) based resonance suppression in actual industrial servo system. An ANF includes estimator which estimates the input signal real time. A method, utilizes modified bilinear transform, was recently developed to improve estimation performance and applied computer simulation cases. The steady state is improved, especially high ranges by using this method. However...