• 농업과학연구
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• 제42권1호
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• pp.53-61
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• 2015

Development of highly efficient and energy-saving tractors has been one of the issues in agricultural machinery. For design of such tractors, measurement and analysis of load on major power transmission parts of the tractors are the most important pre-requisite tasks. Objective of this study was to perform pre-processing procedures before effective analysis of load data of agricultural tractors (30, 75, and 82 kW) during major field operations such as plow tillage, rotary tillage, baling, bale wrapping, and to select the suitable pre-processing method for the analysis. A load measurement systems, equipped in the tractors, were consisted of strain-gauge, encoder, hydraulic pressure, and radar speed sensors to measure torque and rotational speed levels of transmission input shaft, PTO shaft, and driving axle shafts, pressure of the hydraulic inlet line, and travel speed, respectively. The entire sensor data were collected at a 200-Hz rate. Plow tillage, rotary tillage, baling, wrapping, and loader operations were selected as major field operations of agricultural tractors. Same or different farm works and driving levels were set differently for each of the load measuring experiment. Before load data analysis, pre-processing procedures such as outlier removal, low-pass filtering, and data division were performed. Data beyond the scope of the measuring range of the sensors and the operating range of the power transmission parts were removed. Considering engine and PTO rotational speeds, frequency components greater than 90, 60, and 60 Hz cut off frequencies were low-pass filtered for plow tillage, rotary tillage, and baler operations, respectively. Measured load data were divided into five parts: driving, working, implement up, implement down, and turning. Results of the study would provide useful information for load characteristics of tractors on major field operations.

• Asian-Australasian Journal of Animal Sciences
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• 제31권8호
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• pp.1358-1365
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• 2018

Objective: The effect of pre-converted nitrites from natural sources (spinach, lettuce, celery, and red beet) on color development in raw and cooked pork sausage was investigated in this study. Methods: The pork sausage was manufactured with six treatments: NC (negative control, nitrite free), PC (positive control, 150 ppm sodium nitrite), FS (3.0% fermented spinach extracts), FL (3.0% fermented lettuce extracts), FC (3.0% fermented celery extracts), and FR (3.0% fermented red beet extracts). Results: The pH value of the pre-converted nitrites groups was lower than those treated with 150 ppm sodium nitrite (p<0.05). The color values of raw and cooked pork sausage added with pre-converted nitrite showed slightly lower and/or similar lightness, lower redness, and higher yellowness values than PC. Color development (redness values) of cooked samples added with FS was higher than those of the NC and other treatments (FL, FC, and FR). Additionally, treatments with FS and FL were most effective for reducing thiobarbituric acid reactive substances and volatile basic nitrogen than the NC. Conclusion: Effects of natural nitrites from fermented vegetables on shelf stability of raw and cooked pork sausages were investigated. Fermented spinach extract was much more useful for maintaining the color development, but also inhibiting lipid and protein oxidation of cooked pork sausage. Therefore, pre-converted nitrite from spinach as a natural nitrite could be used as another natural nitrite source for making processed meat products.

• Industrial Engineering and Management Systems
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• 제11권1호
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• pp.82-86
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• 2012

In For the past few years, query log data has been collected to find user's behavior in using the site. Many researches have studied on the usage of query logs to extract user's preference, recommend personalization, improve caching and pre-fetching of Web objects, build better adaptive user interfaces, and also to improve Web search for a search engine application. A query log contain data such as the client's IP address, time and date of request, the resources or page requested, status of request HTTP method used and the type of browser and operating system. A query log can offer valuable insight into web site usage. A proper compilation and interpretation of query log can provide a baseline of statistics that indicate the usage levels of website and can be used as tool to assist decision making in management activities. In this paper we want to discuss on the tasks performed of query logs in pre-processing of web usage mining. We will use query logs from an online newspaper company. The query logs will undergo pre-processing stage, in which the clickstream data is cleaned and partitioned into a set of user interactions which will represent the activities of each user during their visits to the site. The query logs will undergo essential task in pre-processing which are data cleaning and user identification.

• 한국분말재료학회지
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• 제21권2호
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• pp.142-146
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• 2014

Fundamental experiences have been studied for development of pre-treatment process of Sn by-products such as solders. Dry and wet separation/recovery processes were considered by the differences of physical properties. The by-products, which are analyzed by solder metal and oxides. The metal and oxide were simply separated by dry ball-milling process for 12 hours, after that recovery metal powder might be reusable as lead or lead-free solders. In terms of wet separation process, samples were dissolved in $HNO_3+H_2O_2$ and the precipitation were analyzed by $SnO_2$. Overall efficiency of recovery might be increasing via developing simple pre-treatment process.

• 실천공학교육논문지
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• 제9권2호
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• pp.125-132
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• 2017

본 논문은 효과적인 학습을 제공해주는 교수법으로 알려진 플립러닝을 신호처리 교과목에 적용한 사례에 대한 연구이다. 수업을 위해 사용된 교수학습 모형과 3개년간 시행 사례를 기술하였다. In-class는 비교적 성공적인 수업이라 판단할 수 있으나, Pre-class에서 제공된 동영상 자료의 편성과 학습 여부에 대한 평가는 개선이 필요하였다. 또한, Pre-class와 In-class를 효과적으로 연계하는 방법에 대한 연구가 필요하다고 판단된다.

• 한국축산식품학회지
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• 제43권3호
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• pp.428-440
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• 2023

Global meat consumption is increasing worldwide, however, supply remains lacking. Several alternative protein sources, such as cultured meat, plant-based protein production, and edible insects, have been proposed to overcome this shortage. Interestingly, edible insects are characterized by superior digestive and absorptive qualities that make them the ideal replacement for traditional protein production. This study aims to further the processing ability of insect protein by investigating the effects of various pre-treatment methods, such as blanching (HB), roasting (HR), and superheated steam (HS), on the nutritional properties and physicochemical characteristics of proteins extracted from Hermetia illucens larvae. The drying rate, pH value, color analysis, amino and fatty acid profile, as well as bulk density, shear force, and rehydration ratios of the above pre-treatment methods, were explored. HS was found to have the highest drying rate and pH value analysis showed that HB and HS samples have significantly higher values compared to the other modalities. Raw edible insects had the highest value in the sum of essential amino acid (EAA) and EAA index when compared to EAAs. HB and HS showed significantly lower bulk density results, and HS showed the highest shear force and the highest value in rehydration ratio, regardless of immersion time. Therefore, taking the above results together, it was found that blanching and superheated steam blanching pre-treatment were the most effective methods to improve the processing properties of H. illucens after hot-air drying.

• 한국식품조리과학회지
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• 제4권1호
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• pp.65-73
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• 1988

Food procurement practices were assessed in 31 general hospital's dietetics in terms of the level of processing for purchased food. The level of processing before purchase by the institution was noted by a numerical value. a Food Processing Index (FPI). Labor productivity measured in terms of labor minutes per meal served averaged 12.59 minutes. Responsible persons for procurement practices were mostly dietitians, but effective purchasing methods as well as inventory control techniques were not fully systematized. Dietetic directors anticipate the large increase in the use of convenience foods in the future mainly due to the improved labor productivity, and also a highly increasing demand for completely pre-prepared food items (FPI 3). The grand mean of FPI scores for purchased foods in surveyed hospitals was 3.34, which indicates partially pre-prepared to completely pre-prepared food items. Significant negative correlation was found between the grand mean of FPI scores and the number of beds in a hospital.

• IEIE Transactions on Smart Processing and Computing
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• 제5권5호
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• pp.366-373
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• 2016

This paper proposes a pre-processing algorithm to improve the coding efficiency of perceptual video coding. First, an input image is decomposed into multiple sub-bands through linear sub-band decomposition. Then, the sub-bands that have low visual sensitivity are suppressed by assigning small gains to them. Experimental results show that if the proposed algorithm is adopted for pre-processing in a High Efficiency Video Coding (HEVC) encoder, it can provide significant bit-saving effects of approximately 12% in low delay mode and 9.4% in random access mode.

• 한국정보처리학회논문지
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• 제7권3호
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• pp.1025-1031
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• 2000

Pre-existing pattern recognition techniques, in the case of character recognition, have limited on the application field. But CAI character learning system and writer's recognition system are very important parts. The application field of pre-existing system can be expanded in the content that the learning of characters and the recognition of writers in the proposed paper. In order to achieve these goals, the development contents are the following: Firstly, pre-processing method by understanding the image structure is proposed, secondly, recognition of characters are accomplished b the histogram distribution characteristics. Finally, similarity measure functions are defined from standard character pattern for matching of the input character pattern. Also the effectiveness of this system is demonstrated by experimenting the standard primitive image.

• 한국빅데이터학회지
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• 제7권2호
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• pp.11-29
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• 2022

사전학습 언어모델은 자연어 처리 작업에서 가장 중요하고 많이 활용되는 도구로, 대량의 말뭉치를 대상으로 사전학습이 되어있어 적은 수의 데이터를 이용한 미세조정학습으로도 높은 성능을 기대할 수 있으며, 사전학습된 토크나이저과 딥러닝 모형 등 구현에 필요한 요소들이 함께 배포되기 때문에 자연어 처리 작업에 소요되는 비용과 기간을 크게 단축시켰다. 트랜스포머 변형 모형은 이와 같은 장점을 제공하는 사전학습 언어모델 중에서 최근 가장 많이 사용되고 있는 모형으로, 번역을 비롯하여 문서 요약, 챗봇과 같은 질의 응답, 자연스러운 문장의 생성 및 문서의 분류 등 다양한 자연어 처리 작업에 활용되고 있으며 컴퓨터 비전 분야와 오디오 관련 분야 등 다른 분야에서도 활발하게 활용되고 있다. 본 논문은 연구자들이 보다 쉽게 사전학습 언어모델에 대해 이해하고 자연어 처리 작업에 활용할 수 있도록 하기 위해, 언어모델과 사전학습 언어모델의 정의로부터 시작하여 사전학습 언어모델의 발전과정과 다양한 트랜스포머 변형 모형에 대해 조사하고 정리하였다.