A variation of fish assemblage in the coastal waters of Sagye-ri, southern Jeju Island was determined using samples collected by trammel net from 2012 to 2022. The total fish species caught by trammel net were identified 88 species, 46 families, 12 orders, and the number of appearance and biomass were 3,479 individuals and 883.6 kg. The annual variation of species was the highest in 2013 at 46 species and the lowest in 2021 at 30 species. The seasonal variation of species was higher in summer at 67 species and lower in winter, autumn at 47 species. The annual diversity index, evenness index, and richness index were appeared 2.42-3.00, 0.69-0.78 and 5.18-7.24 at each years. The dominance index appeared highest in 2013 and the lowest in 2018. Cluster analysis based on the number of individuals of fish was classified into two groups at the dissimilarity level of 57%, and results of SIMPROF analysis revealed significant differences in community structure among the two groups. The subtropical fishes were identified a total of 42 species (47.7%) and the number of species was higher in 2013 at 25 (54.3%) species and lower in 2018 and 2021 at each 17 (54.8~56.7%) species. The dominant species of subtropical fishes were appeared rabbit fish (Siganus fuscescens), scarbreast tuskfish (Choerodon azurio), bluestriped angelfish (Chaetodontoplus septentrionalis), balloon fish (Diodon holocanthus), and flag fish (Goniistius zonatus) at study sites.

Long term variations of fish assemblage in the coastal waters of Bukchon-ri were determined using samples collected by trammel net from 2012 to 2022. Water temperature increased by 0.4℃ in 2022 that was less then 2012. During the survey period, a total of 95 species (53 families and 15 orders) of fishes were identified, Scorpaeniformes (five families and 22 species) and Perciformes (25 families and 39 species) accounted for 73% of the total number. The number of species was higher in summer than winter, showing a peak in summer at 66 species and lower in winter and autumn at 45 species. The number of individuals and the biomass peaked in summer at 1,238 individuals and 280.1 kg, and were the lowest in autumn at 597 individuals and 155.4 kg. The annual diversity index, evenness index and richness index were appeared 2.11-2.80, 0.64-0.80 and 4.70-7.34 at each years. The dominance index were appeared highest in 2014 while 2021 were appeared the lowest in 2017. The subtropical fishes were identified total of 38 species (40.0%) and the number of species was higher in 2022 at 22 (52.4%) species and lower in 2015-2017 at each 10 (31.3-37.0%) species. The dominant species of subtropical fishes were appeared rabbit fish (Siganus fuscescens), boxfish (Ostracion immaculatus), smallscale blackfish (Girella melanichthys), flag fish (Goniistius zonatus), stripey (Microcanthus strigatus), rock porgy (Oplegnathus punctatus), and bluestriped angelfish (Chaetodontoplus septentrionalis) in study sites.

The purpose of this study is to provide information about annual variations in catch size and changes in reproductive biology in the common octopus, Octopus vulgaris, a commercially important species in Jeju Island. Samples were collected from coastal waters of Jeju Island, Korea by coastal trap fishery from January to November 2021. Octopus vulgaris have been decreasing in this region since 1984. The mantle length (ML) ranged from 4.5 to 17.8 cm and body weight (BW) ranged form 88.5 to 2,657.5 g. A χ 2 -test revealed that the number of males was significantly greater than females (χ 2 = 32.712, df = 10, P<0.05). Mature females were found from January to July and male occurred January to August. The gonadosomatic index value was higher from July to August than other months. The relationship between mantle length and body weight was BW = 2.4527ML 2.3139 (female) and BW = 2.6785ML 2.3159 (male). At 50% group maturity, female and male average weight was estimated to be 554.7 g and 330.6 g, respectively.

A seasonal characteristic of fish assemblages in the coastal waters of Gapa-do was determined using samples collected by a trammel net from 2015 to 2019. Annual mean temperature and salinity were 18.9℃, 33.6 psu (2015), 19.5℃, 33.6 psu (2016), 18.9℃, 33.8 psu (2017), 18.8℃, 34.5 psu (2018) and 19.5℃, 33.7 psu (2019), which show a stable water mass. During the survey period, a total of 50 species (30 families and 8 orders) of fishes were identified, including Scorpaeniformes (3 families and 9 species) and Perciformes (18 families and 29 species) that accounted for 68% of the total number. The number of species was higher in summer than in winter, showing the peak in the summer by 35 species and the low in the winter by 20 species. The number of individuals and the biomass peaked in the summer by 690 individuals and 151.4 kg, and were the lowest in the autumn by 336 individuals and 76.6 kg. The annual diversity index, evenness index and richness index were appeared to be 2.54-2.75, 0.68-0.76 and 5.32-6.65 at each stations. The dominance index was appeared to be the highest in 2018 and the lowest in 2015. Marbled rockfish (Sebastiscus marmoratus), rock fish (Sebastes inermis), filefish (Stephanolepis cirrhifer), rabbit fish (Siganus fuscescens), porcupine fish (Diodon holocanthus) and smallscale blackfish (Girella melanichthys) were dominant species, which occurred abundantly during the entire survey period. Subtropical fishes were identified as a total of 24 species (48.0%) and the number of species was higher in 2019 by 20 (60.6%) species and lower in 2015 by 13 (44.8%) species. The dominant species of the subtropical fishes were appeared to be rabbit fish, porcupine fish, smallscale blackfish, flag fish (Goniistius zonatus), stripey (Microcanthus strigatus), grunter (Parapristipoma trilineatum), and bluestriped angelfish (Chaetodontoplus septentrionalis) at the study sites.

제주 연안 저서생물(해조류, 무척추동물)의 군집구조가 저서 기질 형태에 따른 차이를 파악하기 위해 신흥해역에서 2015년 2월부터 11월까지 매월 조사되었다. 암반정점에서는 해조류 57종과 무척추동물 102종이 출현하였고, 몽돌정점 에서는 해조류 42종과 무척추동물 67종이 관찰되어 암반기질에서 저서생물의 출현종수가 높은 것으로 나타났다. 해조 류의 연평균 생물량은 암반정점에서 1,601.13 g wet wt./㎡으로 몽돌정점의 448.85 g wet wt./㎡보다 약 4배 높았다. 감태는 암반정점에서 전체 생물량의 62.64% (1,002.93 g/㎡)를 차지하는 우점종이었고, 몽돌정점에서는 넓은게발, 감태, 붉은뼈까막살, 자루바다표고, 갈래곰보가 우점하였다. 저서무척추동물의 개체수 및 생물량은 암반정점에서 각각 106.9 indivi./㎡, 871.93 g/㎡이며, 몽돌정점에서는 64.6 indivi./㎡, 984.28 g/㎡로 나타났다. 무척추동물의 생물량 우점종을 파악한 결과, 암반정점에서는 소라(36.40%), 바퀴고둥(19.18%), 보라성게(13.61%)였고, 몽돌정점에서는 거 품돌산호(54.13%)와 그물코돌산호(24.28%)로 기질에 따른 우점종의 차이를 확인하였다.

Marine macroalgal community structure of subtidal zones were examined at eight study sites, Jeju, Korea, from March to June 2010. A total of 182 species were identified, including 22 green, 37 brown and 123 red algae. Of them, 15 species were observed at all the study sites. Species richness of seaweeds was maximal at Seongsan with 112 species and minimal at Sinheung with 44 species. Average seaweed biomass was 735.24 g wet wt. m-2 and ranged from 165.82 g wet wt. m-2 at Sinheung to 1,160.43 g wet wt. m-2 at Bomok. Articulated coralline algae were dominant occupying 27.05% (198.92 g wet wt. m-2) of total biomass for the eight study sites in Jeju Island. Subdominant species were Ecklonia cava and Codium coactum, comprising 26.62% (195.72 g wet wt. m-2) and 8.42% (61.91 g wet wt. m-2), respectively. Vertical distribution of subtidal seaweeds in terms of biomass showed from E. cava Colpomenia sinuosa - Codium coactum Ecklonia kurome Undaria pinnatifida - Cladophora wrightiana - Peyssonnelia capensis in the subtital zone between 5~15 m depth level.

Internet of Thing(IoT), which is recently talked about with the development of information and communication technology, provides big data to all nodes such as companies and homes, means of transportation etc. by connecting all things with all people through the integrated global network and connecting all actual aspects of economic and social life with Internet of Thing through sensor and software. Defining Internet of Thing, it plays the role of a connector of providing various information required for the decision-making of companies in the cloud computing environment for the Insight usage by collecting and storing Raw Data of the production site through the sensor network and extracting big data in which data is accumulated and Insight through this. In addition, as the industry showing the largest linkage with other root industries among root industries, the mold industry is the core technology for controlling the quality and performance of the final product and realizing the commercialization of new industry such as new growth power industry etc. Recently, awareness on the mold industry is changing from the structure of being labor-intensive, relying on the experience of production workers and repeating modification without the concept of cost to technology-intensive, digitization, high intellectualization due to technology combination according to IT convergence. This study, therefore, is to provide a golden opportunity to increase the direct and indirect expected effects in poor management activities of small businesses by actually implementing and managing the entire process of mold life cycle to information system from mold planning to mass production and preservation by building SME(small and medium-sized enterprises)-type mold life cycle management information system in the cloud computing environment and applying it to the production site.

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

The purpose of this study is, by recognizing that recently, as crimes using information and various adverse-effect phenomena such as hacking and virus occur frequently with rapid development of information network such as Internet in every field of industry, the range of security is widening to the field of industrial areas for preventing the leaking of industrial technology and protecting that technology as well as information security only limited to IT area, and by establishing common concept about industrial security through education on the industrial security at the point of increasing importance of industrial security, to prepare the base of comprehensive risk management system for protecting company's assets (physical factor, technical factor and managerial factor) safely from the random threats or attacks inside and outside the company through assessment of important assets of the company, evaluation of threats and weak points, and risk assessment by building industrial security management system in order to protect company's information assets and resources which are connected to the existence of the company safely from the threats or attacks from inside or outside the company and to spread stable business activities.

Characteristics of age and growth of the black rockfish, Sebastes inermis sampled in the Jeonnam Marine Ranching Area (JMRA) around Geumo Islands south of Yeosu were investigated using 642 otoliths from March 2009 to February 2010. The opaque zone was formed in September once a year and hence it was used as an annulus. The parturient period was December to January, and therefore the duration from fertilization to the complete formation of the opaque zone was nineteen months. From the parameters calculated using the average length when the year ring was formed, growth of S. inermis were expressed by von Bertalanffy growth equation as Lt=23.267 (1-e-0.4406(t+1.1971)) for females and Lt=22.030 (1-e-0.5312(t+0.6834)) for males when is total length in age t. Through the growth equations, the maximum length was determined as 23.27cm for females and 22.03cm for males and the growth factor as 0.4406/yr and 0.5312/yr, respectively. Finally, the growth of female S. inermis is larger than the one of male S. inermis.

방어의 자원동태를 규명하기 위하여 한국 연근해에서 어획되는 방어 어획량의 31년간(1970∼2000년)의 통계청 년별어업생산량자료와 최근 10년간(1991∼2000년)의 지역별, 수협별, 어획량 자료 등을 이용하여 장기 어획량변동 경향, 어업에 따른 지방별, 어업별, 연도별, 월별 어획량과 그 변화 경향을 비교 분석한 결과를 요약하면 다음과 같다. 1. 한국의 31년간(1970∼2000년) 방어의 자원량 변동은 19/70∼1985년까지는 31년간의 평균어획량보다 낮은 저조한 어획량이 유지되었으며, 그 후 연간어획량의 증감은 있지만 전체적으로 증가경향을 나타내고 있으면서 평균 어획량 보다 높은 어획량이 유지되었다. 이 기간중 방어 자원량은 5∼6년 주기로 변동하는 경향을 나타냈고, 특히, 1995년부터 1998년까지 어획량이 크게 증가했다. 2. 어업별로는 대형선망의 경우 한국 전역에서 조업이 이루어져 어획량도 가장 높았고, 다음으로 정치망, 채낚기 등의 순이며, 대형선망을 제외한 지역별 조업특성을 보면 동해안에서는 정치망, 남해안에서는 저인망, 정치망, 채낚기, 서해안에서는 안강망, 제주도에서는 채낚기에 의해 주로 어획되었다. 3. 정치망에 의해 지방별로 어획되는 경향을 보면, 강원도와 경상북도는 6∼6월과 10월의 어획량이 많고, 그중 10월에 최고 어획이 나타나며, 경상남도는 5월과 12월에 어획량이 많고, 그중 5월에 최고어획량, 전라남도는 4∼5월과 8월에 어획량이 많고, 그중 8월에 최고어획량이 나타났다. 4. 한국 주변해역의 방어회유양상은 제주도 남쪽 및 대마난류역의 월동장내지는 산란장으로부터 3∼4월부터 황해 및 한국남 ·동해쪽으로 북상하기 시작하여 9∼10월까지 이 회유가 지속되다가 10월 이후 남하하기 시작하여 11∼12월에 양해역으로부터 제주도 주변해역까지 이동해와 2∼3월까지 월동장 및 산란장에서 체류하고 있다. 그러므로, 마라도 주변해역의 추·동계 방어채낚기 어장은 월동장내지는 산란장으로 이동하는 남하기의 방어군을 대상으로 하는 어장이다.