Earticle

본 논문은 국내에서 주로 재배되는 신선 꽃송이버섯 (Sparassis latifolia)의 저장 및 유통 과정에서 품질 저하를 최소화하고, 이를 가공에 효율적으로 활용하기 위한 기술들 을 종합적으로 고찰하였다. 꽃송이버섯은 고함량의 β -글루 칸과 다양한 기능성분을 함유한 고부가가치 식자재로, 조직 이 연약하고 수분 함량이 높아 저장 및 유통 중 품질 열화 가 빠르게 진행된다. 이에 따라 본 연구에서는 저장 중 주 요 품질 변화 양상과 이를 지연시키기 위한 미세천공 필름, 기능성 및 지능형 포장, MA 및 CA 포장 기술 등 기존 보고된 신선도 유지 기술을 정리하고, 적용 가능성이 높은 비열 살균, 광역동 처리, 나노복합필름 등의 신기술도 함께 논의하였다. 아울러, 꽃송이버섯의 일반 성분, 표준규격, 국 내 품질기준을 요약하고, 열수 추출 및 에탄올 추출, 열풍· 동결 건조 등의 가공 기술별 활용성 및 추출 효율에 대해 서도 비교·정리하였다. 본 고찰은 향후 신선 꽃송이버섯의 저장성 개선과 고부가가치 식품 소재화 연구에 실용적인 기 초자료를 제공할 수 있을 것으로 기대된다.

This review comprehensively examines current and emerging technologies for maintaining quality and enhancing the processing utilization of Sparassis latifolia, a high-value edible mushroom primarily cultivated in Korea. S. latifolia is rich in β-glucan and various functional compounds, but its high moisture content and delicate texture make it highly susceptible to rapid quality deterioration during storage and distribution. This paper summarizes established freshness preservation techniques, including micro-perforated films, functional and intelligent packaging, and modified or controlled atmosphere (MA/CA) packaging. In addition, emerging technologies for non-thermal sterilization, photodynamic inactivation (PDI), and nanocomposite packaging are discussed. The review also outlines the general composition, standard specifications, and domestic quality standards for S. latifolia. Furthermore, various processing methods including hot water and ethanol extraction, hot-air drying, and freeze-drying are compared in terms of their applicability and extraction efficiency. These findings are expected to provide a practical foundation for future research aimed at improving the storability and value-added utilization of fresh S. latifolia.

Morama bean [Tylosema escululetum (Burch.)] is a nutrient-dense underutilized legume that can address proteinenergy and micronutrient malnutrition in developing countries. An ethnographic study using a snowball sampling method was conducted in Kweneng, Ghanzi, Southern, and Central districts of Botswana. The survey sought to gather and document information about demographic characteristics, traditional use, cultural norms, harvesting, processing, preservation, and health benefits of morama beans. A 5-point Likert-type scale was used to assess and rate the respondent(s) perceptions on traditional utilization and potential of the bean. The data was analyzed using Statistical Package for the Social Sciences (SPSS) and thematic grouping. It was found that morama bean is distributed in Botswana’s sandy desert regions and is consumed by people who are native or migrated into these areas. Roasting in heated sand (mean = 4.93) and boiling fresh beans with water or milk (mean = 4.49) were the most popular methods of cooking morama beans. Across the four districts, morama bean was found to be an important component in traditional food and medicinal mixtures for undernourished infants, and expectant and lactating mothers, mostly prepared with soft porridge. Respondents cited a significant lack of scientific knowledge about the bean’s medicinal properties (mean = 1.27?1.38), indicating the need for additional research. The nutritious density of morama beans (mean = 4.87) and their potential for processing into value-added products (mean = 4.10) were known to the respondents. As a result, the bean has a high potential to improve food and nutrition security in these communities.

우리사회는 점점 더 융/복합 현상이 가속화되고, 광범위한 영역으로 확대되고 있다. 이러한 중심축에는 정보통신 기술이 자리잡고 있음은 당연한 일이다. 일례로 정보통신기술과 의료산업의 융합의 결과로 스마트 헬스케어 산업이 등장하였으며, 모든 분야에 정보통신 기술을 접목하고자 하는 노력들이 계속되고 있다. 이로 인해 우리주변에는 수많은 디지털 데이터들이 만들어지고 있다. 또 다른 한편으로는 대중화 되고 있는 스마트폰, 태블릿PC와 카메라, 게임기기등을 통하여 다양한 데이터들이 생성되고 있다. 본 연구에서는 광범위하게 발생하고 있는 빅데이터에 대한 활용 상태를 알아보고 빅데이터 플랫폼의 한 축인 처리 프로세스들에 대해 비교, 분석하였다.

Our society has two prospective properties because of IT technology. Firstly, it is accelerated a degree of convergence. And convergence regions are expanded. For example, smart healthcare region was created by IT technology and medical industry. The efforts to convergence will be continued. Because of these properties, A number of data are made in our life. Through many devices such as smart phone, camera, game machine, tablet pc, various data types are produced. In this paper, we described utilization of Big Data. And we analysed Big Data processing process.

데이터 3법과 데이터 산업법에 따라 가명정보 결합전문기관 및 데이터안심구역 시스템이 물리적으로 분리되어 운영 중이므로, 가명정보의 처리 및 활용을 원하는 중소기업 또는 스타 트업 등의 사용자에게 복잡한 절차와 병목으로 인한 부담으로 작용한다. 또한, 개인정보의 유 출 등을 우려한, 지나치게 엄격한 가명 처리 과정은 오히려 데이터의 품질을 훼손하는 역효과 가 발생한다. 가명정보의 안전한 처리 및 활용을 위한 일련의 조치는 사용자의 편의와 데이터 의 품질을 동시에 보장할 수 있도록 구성되어야 한다. 따라서 본 연구는 기존 가명정보 처리 및 활용의 문제점을 개선한 통합데이터안심구역의 프로토타입 시스템을 제시한다. 이를 위해 기존 BPR 가이드라인을 선택적으로 수정하여 새로운 워크플로우 재설계 가이드라인을 개발 및 적용하며, 핵심성능지표를 도출하여 개발된 프로토타입의 성능을 판단한다. 성능평가 결과 제시된 프로토타입은 기존의 시스템에 비해 시간적 측면에서는 약 6배, 비용적 측면에서는 1.28배, 품질적 측면에서는 1.3배의 향상된 성능을 보임을 확인하였다.

According to the three amended Laws of the Data Economy and the Data Industry Act of Korea, systems for pseudonymous data integration and Data Safe Zones have been operated separately by selected agencies, eventually causing a burden of use in SMEs, startups, and general users because of complicated and ineffective procedures. An over-stringent pseudonymization policy to prevent data breaches has also compromised data quality. Such trials should be improved to ensure the convenience of use and data quality. This paper proposes a prototype system of the Integrated Data Safe Zone based on redesigned and optimized pseudonymization workflows. Conventional workflows of pseudonymization were redesigned by applying the amended guidelines and selectively revising existing guidelines for business process redesign. The proposed prototype has been shown quantitatively to outperform the conventional one: 6-fold increase in time efficiency, 1.28-fold in cost reduction, and 1.3-fold improvement in data quality.

빅 데이터 시대에서 데이터를 획득하고 저장하며 실시간으로 유입되거나 저장 된 데이터를 분석 하는 처리 시스템은 다양한 부분을 고려해야 한다. 기존의 데이터 처리 시스템들과는 상이하게 빅 데이 터 처리 시스템들에서는 시스템 내에서 처리될 데이터들의 포맷, 유입 속도, 크기 등의 특성을 고려해 야한다. 이러한 상황에서, 가상화된 컴퓨팅 플랫폼은 가상화 기술로써 컴퓨팅 자원들을 동적이고 신축 적으로 관리할 수 있음에 따라, 빅 데이터를 효율적으로 처리하기 위해 급부상하고 있는 플랫폼 중 하 나이다. 본 논문에서는 가상화 된 컴퓨팅 플랫폼 상에서 Apache Hadoop과 HBase 기반의 빅 데이터 처리 미들웨어를 구동하기 위하여 적합한 배포 모델을 위한 가상 컴퓨팅 자원 이용률을 분석하였다. 본 연구 결과, Task Tracker 서비스는 처리 중 높은 CPU 자원 활용율과 중간 결과물 저장 시점에서는 비교적 높은 디스크 I/O 사용을 보였다. 또한 HRegion 서비스의 경우, DataNode와의 데이터 교환을 위한 네트워크 자원 활용 비율이 높았으며, DataNode 서비스는 I/O 집약적인 처리 패턴을 보였다.

In big data era, there are a number of considerable parts in processing systems for capturing, storing, and analyzing stored or streaming data. Unlike traditional data handling systems, a big data processing system needs to concern the characteristics (format, velocity, and volume) of being handled data in the system. In this situation, virtualized computing platform is an emerging platform for handling big data effectively, since virtualization technology enables to manage computing resources dynamically and elastically with minimum efforts. In this paper, we analyze resource utilization of virtualized computing resources to discover suitable deployment models in Apache Hadoop and HBase-based big data processing environment. Consequently, Task Tracker service shows high CPU utilization and high Disk I/O overhead during MapReduce phases. Moreover, HRegion service indicates high network resource consumption for transfer the traffic data from DataNode to Task Tracker. DataNode shows high memory resource utilization and Disk I/O overhead for reading stored data.

산업전반에 있어 각 기업들이 열심히 쌓아온 핵심기술들이 빈번히 유출되고 있다. 하지만 대부분의 기업에서는 핵심기술 유출에 대해 별 다른 대책 없이 핵 심기술이 유출당한 사실을 모른 채 유출에 활용된 컴퓨터를 계속 사용하기도 한 다. 이때, 유출에 사용된 저장매체에 대해 유출 의심자 혹은 대상자의 유출여부 를 확인하기 위해서는 유출에 사용된 하드디스크의 무결성이 가장 중요한 사항 이다. 대부분의 기업에서는 하드디스크에 대한 관리를 별도로 하지 않고 후임 사용자가 해당 컴퓨터를 사용하기 때문에 컴퓨터의 접근시간, 실행 날짜 등이 최근시간으로 변경된다. 이후 하드디스크는 무결성이 사라져 핵심기술 유출에 대한 유출 의심자 혹은 대상자 조사는 매우 어려워지게 된다. 따라서 본 연구에 서는 무결성 확보를 위해 디지털포렌식 이미징 프로그램을 이용한 초기 대응 방 법을 연구하고 어떤 이미징 프로그램이 실질적으로 잘 활용될 수 있는지 실험을 통해 분석하고자 한다. 정보보호 담당/겸임 인력이 없는 대부분의 중소기업에서 는 디지털포렌식 이미징 시간이 길어지면 담당 업무를 진행하기가 어렵고 외부 업체를 통해 진행하는 비용도 많이 들기 때문에 최대한 짧은 시간에 디지털포렌 식 이미징 처리를 하여 자체적인 Hash 값 획득을 통해 검증하는 것은 하나의 시간 및 비용절감의 방안이 될 수 있을 것으로 판단된다.

When it comes to general industry, the core techniques accumulated by each company are being leaked. But, most companies are not aware of the leakage and continuously use the infected computers without any particular measures. At this time, the integrity of used hard disk or the suspected person is the most important. In many companies, there are no extra management for hard disk so that the next user continuously uses the computer, which changes the excess, execution date changed to the recent time. After, the integrity of hard disk is removed, thereby making it more difficult to investigate the suspect for the leakage. Accordingly, the research takes care of initial measures utilizing digital forensic imaging program for procuring integrity, and finds out which imaging program can be utilized effectively through an experiment.

A feeding trial was conducted for 60 days to study the utilization of fruits processing wastes as feed ingredient in the diet of Labeo rohita fingerlings. One hundred and sixty fingerlings (av. body weight, $1.65g{\pm}0.03$) were equally distributed in four experimental groups having 4 replicates each. Four different experimental diets were prepared by replacing wheat flour and rice bran with either orange (T2) (Cirtus qurantium), pineapple (T3) (Ananas spp. and Pseudananas spp.) or sweet lime (T4) (Citrus sinensis) wastes to the basal diet along with the control (T1, without any fruit wastes) keeping the CP level at around 40%. The water quality parameters like DO, $CO_2$, pH, total alkalinity, total hardness, ammonia and water temperature were recorded within the optimum range. The diet containing 25% pineapple wastes (T3) showed significantly higher growth in terms of SGR (1.50), FCR (2.09) and PER (1.19) than the other groups. However, growth of T4 and T2 groups were not significantly different than the control group (T1). Protease activity (17.17 unit/mg protein), protein digestibility (91.57%) and carbohydrate digestibility (41.62%) were not significantly different among the different groups. Survival of the fingerlings were not significantly different among the experimental groups. It concludes that waste of orange, pineapple and sweet lime can be used at 25% level as a substitute of wheat flour and rice bran in the diet of Labeo rohita.

In recent years, the reuse of industrially generated residues in ceramic bodies has been an important issue. Reuse of industrialwaste products is not only environmental responsibility, but also cost reduction and efficient use of raw materials. The aim ofthe study was to investigate the possibility of using press filter cake (PFC) instead of calcite in the production of anorthitebasedceramics. The PFC is an industrial solid waste, which is a by-product in the production of sugar from sugar beet. Thissolid waste quantity is about one million ton per year in Turkey. PFC was evaluated as alternative raw material in thepreparation of anorthite based ceramic bodies. In this study, anorthite based ceramics were produced by using two differenttypes of calcium oxide source. While PFC and calcite were used as CaO source, clay was used as the source of aluminumsilicate. Compositions were prepared from 30% calcium oxide sources and 70% clay by weight. The ceramic bodies weresintered at different temperatures from 1000 oC to 1200 oC. The micro-porous structure of ceramics were obtained by burningof organic substances and by decomposing of carbonate compounds of the PFC wastes during firing process. The differencesbetween the physical, mechanical and microstructural properties of anorthite based ceramics produced from two differentCaO sources were investigated. Also, their phase analysis results were compared. While the specimens with 30 wt% PFCaddition fired at 1200 oC contained anorthite (CaO·Al2O3·2SiO2) and cristobalite (SiO2) as major phase, the specimens with30wt% calcite addition fired at same temperature included anorthite as major phase and minor secondary phases such ascristobalite and quartz.

This work aims to utilize wastes from the potato starch industry to produce single-cell protein (SCP) with high lysine content as animal feed. In this work, S-(2-aminoethyl)-_L-cysteine hydrochloride-resistant Bacillus pumilus E1 was used to produce SCP with high lysine content, whereas Aspergillus niger was used to degrade cellulose biomass and Candida utilis was used to improve the smell and palatability of the feed. An orthogonal design was used to optimize the process of fermentation for maximal lysine content. The optimum fermentation conditions were as follows: temperature of 40℃, substrate concentration of 3%, and natural pH of about 7.0. For unsterilized potato starch wastes, the microbial communities in the fermentation process were determined by terminal restriction fragment length polymorphism analysis of bacterial 16S rRNA genes. Results showed that the dominant population was Bacillus sp. The protein quality as well as the amino acid profile of the final product was found to be significantly higher compared with the untreated waste product at day 0. Additionally, acute toxicity test showed that the SCP product was non-toxic, indicating that it can be used for commercial processing.

Changing concepts in fishery science increasingly are recognizing depletion of traditional stocks, utilization of alternate(non-traditional) species, demand for high quality products, and a total resource utilization approach. Innovative practices are occurring in fisheries processing wherein solid and liquid discharges are no longer treated as 'waste,' but rather as valuable feedstocks for recovery of a variety of value-added ('value enhanced') by-products. Among these are protein hydrolysates, soluble proteins and amino acids, proteolytic enzymes, flavor and flavor extracts, pigments, and biopolymers such as chitosan. Properties and applications of this deacetylated derivative of chitin are noted. Crustacean processing by-products are discussed in terms of their serving as materials for generation of natural flavors and flavor extracts, and products such as fish sauces using contemporary enzymatic techniques. Various food and feed applications of fisheries processing by-products are illustrated with increased usage seen in formulated diets for an expanding aquaculture market. Examples are given of aquaculture becoming increasingly significant in global fisheries resource projections. Critical issues in the international seafood industry Include those of seafood quality, processing quality assurance (HACCP), and recognition of the nutritional and health-related properties of fisheries products. A variety of current seafood processing research is discussed, including that of alternate fish species for surimi manufacture and formulation of value-added seafood products from crawfish and blue crab processing operations. Increasing emphasis is being placed on international aspects of global fisheries and the role of aquaculture in such considerations. Coupled with the need for the aquatic food industry to develop innovative seafood products for the 21st century is that of total resource utilization. Contemporary approaches in seafood processing recognize the need to discard the traditional concept of processing 'waste' and adapt a more realistic, and economically sound, approach of usable by-products for food and feed application. For example, in a period of declining natural fishery resources it is no longer feasible to discard fish frames following fillet removal when a significant amount of residual valuable flesh is present that can be readily recovered and properly utilized in a variety of mince-based formulated seafood products.

영양적(營養的) 또는 약리적(藥理的)으로 우수(優秀)한 미역의 효율적인 이용방안(利用方案)의 하나로서 미역분말쥬우스를 가공(加工)하여 화학적조성(化學的組成) 및 색소안정성(色素安定性)에 관해 실험한 결과를 요약(要約)하면 다음과 같다. 1. 가공방법(加工方法)은 생미역을 물로 씻어 이물질(異物質) 및 토사(土砂)를 제거하고 난 후 3%식염 및 1%탄산마그네슘 혼합용액(원료(原料)의 10배량)에서 $85^{\circ}C$, 20초간 데친 다음 물기를 빼고 열풍건조기(熱風乾燥機)($50{\sim}53^{\circ}C$, 풍속 3m/sec, 습도 21.4%)에서 3시간동안 건조(乾燥)시켰다. 그리고 난 후 200mesh까지 분쇄(粉碎)하여 중량비(重量比)로서 분말미역 0.8%, 식염 9.75%, 설탕 1.25%, 아스코르브산 0.2% 그리고 미싯가루 0.25% 첨가하여 미역분말제품으로 하였다. 2. 가공중 제품의 화학적(化學的) 성분변화(成分變化)는 아미노질소가 증가하였고, 회분함량(灰分含量)은 19%, 알긴산은 5.5%정도 감소한 것 이외에는 큰 변화(變化)가 없었고, 생미역에 대한 제품의 색소잔존율(色素殘存率)은 chlorophyll은 91.6%, total carotenoid는 89.5%로서 상당히 양호(良好)하였다. 3. 관능검사결과(官能檢査結果) 색깔, 냄새, 맛 및 분산성(分散性)은 양호(良好)하였으며, 특히 미싯가루 첨가에 의한 미역의 강한 이취(異臭)를 차폐(遮蔽)시킬 수 있었다.

In order to utilize effectively sea mustard(Undaria pinnatifida) which is excellent in nutrition and medical action, powdered sea mustard juice was prepared and then its chemical composition and the stability of pigments were examined. Powdered sea mustard was made by washing fresh sea mustard with tap water to remove clay and sand, blanching at $85^{\circ}C$ for 20 sec in mixing solution(3% salt+1% $MgCO_3$), hot air drying($50-55^{\circ}C$, 3 hrs) after draining and pulverizing dried sea mustard to 200mesh. And then powdered sea mustard mixtures for juice type beverage was made by adding 0.75% of salt, 1.25% of sugar, 0.2% of ascorbic acid, 0.25% of flour of roasted barley and 0.8% of pulverized sea mustard to 100ml of water. Chemical composition of product was not scarcely changed during processing while amino-nitrogen content was increased and alginic acid and ash contents were decreased. The retention of chlorophyll and total carotenoid pigments of product against fresh sea mustard were 91.6% and 89.5% respectively. Judging from sensory evaluation, color, flavor, taste and dispersibility of powdered sea mustard juice were excellent and undesirable flavor of product was masked by addition of flour of roasted barley.

최근 빅데이터 분석은 기업과 전문가뿐만 아니라 개인이나 비전문가들도 큰 관심을 갖는 분야로 발전하였다. 그에 따라 현재 공개된 데이터 또는 직접 수집한 이터를 분석하여 마케팅, 사회적 문제 해결 등에 활용되고 있다. 국내에서도 다양한 기업들과 개인이 빅데이터 분석에 도전하고 있지만 빅데이터 공개의 제한과 수집의 어려움으로 분석 초기 단계에서부터 어려움을 겪고 있다. 본 논문에서는 빅데이터 공유를 방해하는 개인정보, 빅트래픽 등의 요소들에 대한 기존 연구와 사례들을 살펴보고 정책기반의 해결책이 아닌 시스템을 통해서 빅데이터 공유 제한 문제를 해결 할 수 있는 클라이언트-서버 모델을 이용해 빅데이터를 공개 및 사용 할 때 발생하는 문제점들을 해소하고 공유와 분석 활성화를 도울 수 있는 방안에 대해 기술한다. 클라이언트-서버 모델은 SPARK를 활용해 빠른 분석과 사용자 요청을 처리하며 Server Agent와 Client Agent로 구분해 데이터 제공자가 데이터를 공개할 때 서버 측의 프로세스와 데이터 사용자가 데이터를 사용하기 위한 클라이언트 측의 프로세스로 구분하여 설명한다. 특히, 빅데이터 공유, 분산 빅데이터 처리, 빅트래픽 문제에 초점을 맞추어 클라이언트-서버 모델의 세부 모듈을 구성하고 각 모듈의 설계 방법에 대해 제시하고자 한다. 클라이언트-서버 모델을 통해서 빅데이터 공유문제를 해결하고 자유로운 공유 환경을 구성하여 안전하게 빅데이터를 공개하고 쉽게 빅데이터를 찾는 이상적인 공유 서비스를 제공할 수 있다.

Recently, big data analysis has developed into a field of interest to individuals and non-experts as well as companies and professionals. Accordingly, it is utilized for marketing and social problem solving by analyzing the data currently opened or collected directly. In Korea, various companies and individuals are challenging big data analysis, but it is difficult from the initial stage of analysis due to limitation of big data disclosure and collection difficulties. Nowadays, the system improvement for big data activation and big data disclosure services are variously carried out in Korea and abroad, and services for opening public data such as domestic government 3.0 (data.go.kr) are mainly implemented. In addition to the efforts made by the government, services that share data held by corporations or individuals are running, but it is difficult to find useful data because of the lack of shared data. In addition, big data traffic problems can occur because it is necessary to download and examine the entire data in order to grasp the attributes and simple information about the shared data. Therefore, We need for a new system for big data processing and utilization. First, big data pre-analysis technology is needed as a way to solve big data sharing problem. Pre-analysis is a concept proposed in this paper in order to solve the problem of sharing big data, and it means to provide users with the results generated by pre-analyzing the data in advance. Through preliminary analysis, it is possible to improve the usability of big data by providing information that can grasp the properties and characteristics of big data when the data user searches for big data. In addition, by sharing the summary data or sample data generated through the pre-analysis, it is possible to solve the security problem that may occur when the original data is disclosed, thereby enabling the big data sharing between the data provider and the data user. Second, it is necessary to quickly generate appropriate preprocessing results according to the level of disclosure or network status of raw data and to provide the results to users through big data distribution processing using spark. Third, in order to solve the problem of big traffic, the system monitors the traffic of the network in real time. When preprocessing the data requested by the user, preprocessing to a size available in the current network and transmitting it to the user is required so that no big traffic occurs. In this paper, we present various data sizes according to the level of disclosure through pre - analysis. This method is expected to show a low traffic volume when compared with the conventional method of sharing only raw data in a large number of systems. In this paper, we describe how to solve problems that occur when big data is released and used, and to help facilitate sharing and analysis. The client-server model uses SPARK for fast analysis and processing of user requests. Server Agent and a Client Agent, each of which is deployed on the Server and Client side. The Server Agent is a necessary agent for the data provider and performs preliminary analysis of big data to generate Data Descriptor with information of Sample Data, Summary Data, and Raw Data. In addition, it performs fast and efficient big data preprocessing through big data distribution processing and continuously monitors network traffic. The Client Agent is an agent placed on the data user side. It can search the big data through the Data Descriptor which is the result of the pre-analysis and can quickly search the data. The desired data can be requested from the server to download the big data according to the level of disclosure. It separates the Server Agent and the client agent when the data provider publishes the data for data to be used by the user. In particular, we focus on the Big Data Sharing, Distributed Big Data Processing, Big Traffic problem, and construct the detailed module of the client - server mode

본 연구는 교원능력개발평가 결과 처리 및 활용에 대한 초등교사의 인식을 단위 학교 영역과 교사 개인 영역으로 구분하여 분석하였다. 그 결과 교원능력개발평가 결과 처리에 대한 인식은 대체로 긍정적이었다. 특히 단위학교 차원에서 평가 결과 처리에 대한 안내 및 연수계획수립, 평가결과보고서 작성은 잘 이루어지고 있었다. 교사 개인도 평가결과를 바탕으로 능력개발계획서를 충실하게 작성하고 있었다. 배경변인별로는 여교사, 21년 이상의 고경력 교사, 부장교사의 인식이 가장 긍정적이었다. 다음으로 교원능력개발평가 결과 활용에 대한 인식을 살펴보면 다양한 연수 안내 및 단위학교 자체 연수계획이 충실히 운영되고 있었으나 교사 개인 영역의 자기계발과 의사소통에서의 교사 인식은 대체로 부정적이었다. 또한 학생, 학부모, 동료교사와의 의사소통 증진에 대한 인식도 낮았다. 학습지도 및 생활지도에서 평가 활용 정도는 보통정도로 인식하였다. 배경변인별로 알아보면 여교사, 21년 이상의 고경력 교사, 부장교사의 인식정도가 높았다. 교원능력개발평가의 본래 목적인 교사 전문성 신장 취지를 살리기 위해서는 현장에서 교사들의 요구를 적극적으로 수용한 연수가 많이 제공되고, 교사가 실제로 평가 결과를 참고하여 자신의 전문성을 신장시킬 수 있는 시간적 여유가 확보될 필요가 있다.

This study analyzed elementary school teacher perceptions on the processing and utilization of the results of teacher evaluations. The survey results showed mostly positive perceptions on the processing of teacher evaluations. In particular, individual schools performed well on their tasks including the guide to the processing of the evaluation results, making in-service training plans, and writing a report on the evaluation results. Individual teachers improved their teaching competence with development plans based on the evaluation results. In particular, female teachers, teachers with over 21 years of experience and head teachers had the most positive perceptions. In terms of the perceptions on the utilization of the teacher evaluations, various training guides and individual school self-training plans were high. However, the teachers showed a negative perception on self-development and communication in the field of individual teachers. Moreover, the perception on communication development with students, parents and co-teachers was low. In the fields of study guidance and student guidance, teachers showed an average perception on the utilization of evaluation results. In particular, female teachers, teachers with over 21 years of experience and head teachers showed a higher degree of perception. In order to achieve the original purpose of the teacher’s evaluation, which is competence development, a lot of training that meets teachers' needs on site needs to be developed. In addition, teachers should have time to actually develop their competence with the help of the evaluation results.

The needs to develop high value-added foods are expanding due to the trends of food market, such as importance of food security by enlarged international free trades and expanded market size for processed foods. However, our home country exhibits limit transport to development of new products and high-value added area compared to other advanced countries. For this reason Ministry of Agriculture, Food and Rural Affairs and Institute of Planning and Evaluation for Technology have launched "High Value-Added Food Technology Development Program" for improvement of value of food resources for practical use since 2013. The program contains research to increase the values of agricultural and animal resources and the construction of database. Main research topics are studies in pretreatment techniques to improve the values of agricultural and animal resources, improvement of acceptability, and processing qualities that would be engrafted on materializaton and commercialization technologies. In addition the construction of a consolidated database regarding the research achievements is included in the program. Currently, studies in processing qualities for about 30 food materials re under progress, being suitable for materialization, for examples drying, fermentation, grinding, heat-treatment, and so on. The research results are provided in public through the consolidated database website after reconstruction in the form of united database format. To date the database containing the about 300 of research contents for process qualities has been constructed.

토양수분 및 황사발생 연구에 있어 효율적인 광역 분석을 위하여 위성자료가 활용되고 있다. 활용 시나리오에 따라서는 준실시간 자료 수신, 처리가 필요하며 본 연구에서는 이에 대한 방안을 연구하기 위하여 유럽 EUMETSAT(European Organisation for the Exploitation of Meteorological Satellites)의 ASCAT(Advanced Scatterometer) Metop-A 자료에 대하여 파악하였다. 자료 수신 프로토콜에 있어서 FTP, HTTP 등 전통적 방법에 대한 현황과 함께 비교적 최근 기법인 OGC(Open Geospatial Consortium)　 WMS(Web Map Service), WCS(Web Coverage Service) 방식의 지원 현황에 대하여 확인하였다. 제공되는 자료 Format부분은 EPS Native와 BUFR(Binary Universal Form for the Representation of meteorological data)을 살펴보되 데이터 프로바이더 측에서 대부분 채택되고 있는 NetCDF(network Common Data Form)를 중심으로 파악하였다. 수신된 자료의 처리 자동화를 위한 소프트웨어는 OSGeo(The Open Source Geospatial Foundation)의 GDAL(Geospatial Data Abstraction Library), 미국 NCAR(National Center for Atmospheric Research)의 NCL(NCAR Command Language)을 중심으로 확인하였다. 자료 가공기법은 격자(Raster) 자료에 대한 기본 메타정보 확인, 좌표참조체계 변환, 해상도 및 Format 변환을 중심으로 확인하였다. 한편 OGC WMS, WCS는 자료의 전송 프로토콜 기법이면서 동시에 서버 사이드에서의 자료 변환 기능을 구비하고 있다. 예를 들어 Http Request에서 영역(Extent), Format 형식, 좌표참조체계를 지정할 수 있다. OGC WMS에 대한 EUMETSAT 파일럿 서비스에서 반환 자료의 공간적 영역, 복수 시점 제공 현황, 반환 포맷 지원 상황은 실제 메서드를 사용하여 파악하였고, 향후 발전 방향을 전망하였다.