Emerging technology trends can seem both elusive and ephemeral but some become integral to business and IT strategies and form the backbone of tomorrow’s business model and technology innovation. Companies (and Administrations) must examine the business impact of these trends and adjust business models and operations appropriately or risk losing competitive advantage to those who do. Rather the technology being difficult it is the implementation of it that could be a challenge. We’re working in an environment where volumes and complexity are increasing, but budgets are decreasing. How to sense and act upon a future that remains unclear? It is required to think very differently about the way to conceive and deliver technology services. The technology is the last step of the foresight process. The author aims to provide an answer to the above enquire starting from the identification of technologies and future technological concepts having potentially a significant impact on maritime traffic management and border control systems and the community in the medium to long term, i.e. 5 to 20 years. It is aimed at the idea of capacity building, not simply forecasting. A brief history of Vessel Traffic Services (VTS) followed by some systems engineering considerations are presented in paragraph 1 with connections to technology trends such as intelligent, digital and mesh in the next paragraph. On maritime domain these means, for instance, moving from traditional VTS to Maritime Service Portfolios (MSP) for e-Navigation. Bioinspired technologies forecasts are presented in paragraph 3 with examples of concrete practical use and possible further applications: drones, camera tracking and classification systems and passive as well as cognitive radars. Conclusions and a brief outlook will close the text.

Epidemiological research to investigate the spatial characteristics of poultry farms confirmed with avian influenza (AI) infection can help increase the efficacy of AI surveillance as well as AI control strategies. The spatial characteristics of poultry farms confirmed with AI infection can provide insights on effective AI-surveillance and AI-control strategies to policymakers by providing a visualization of the geographical pattern of AI distribution. The goal of the current study was to investigate the spatial characteristics of the risk of a farm being AI-positive by using data from routine AI-surveillance performed during the period 2014–2015. To achieve this goal, we applied a spatial model because it improves the estimation of the relative risk by taking into account spatial dependence between epidemiological units. The results revealed there was a lack of dependency between districts in the risk of a farm being AI-positive. The estimates for the spatial autocorrelation coefficient in the spatial model for chicken farms were 0.006 in 2014 (p = 0.9496) and -0.064 in 2015 (p = 0.6052) and for duck farms were -0.066 in 2014 (p = 0.4380) and 0.047 in 2015. Likewise, Moran’s I statistic estimates for chicken farms were 0.0243 in 2014 (p = 0.3183) and -0.0174 in 2015 (p = 0.5657) and for duck farms were -0.0342 in 2014 (p = 0.6678) and -0.0230 in 2015.

A tick survey was conducted to monitor ticks using tick traps attached dry ice and a flagging method at each four sites in Busan, Ulju, and Geoje areas of Gyeongnam Province from April to November, 2018. Haemaphysalis longicornis was the most frequently collected, representing 99.8% in Ulju. A total of 27,247 ticks were collected as H. longicornis (Trap Index; TI 283.2), H. flava (TI 0.3), and Ix. nipponensis (TI 0.3). In the collection environment, a total number of 15,672, 5,798, 4,876, and 901 ticks were collected from glassland, tump, tomb, and mountain path, respectively. On the other hand, H. longicornis and Ix. nipponensis were collected with flaggings at the four sites in Ulju, Busan, and Geoje in May and June, 2018. A total of 1,517 ticks collected H. longicornis (Flagging Index; FI 9.3) and Ix. nipponensis (FI 0.1) in Ulju. Haemaphysalis longicornis were collected 2,183 (FI 13.6) and 1,596 (FI 10.0) in Geoje and Busan, respectively. In the results of the isolation of Severe Fever with Thrombocytopenia Syndrome (SFTS) from the ticks, no pathogens detected from RNA of 557 pools of the ticks using a Polymerase Chain Reaction method in 2018.

Malaria is notorious disease to transmitted by Anopheline mosquitoes. In Korea, Plasmodium vivax malaria was re-introduce in 1993 and exceed to more than 4,000 cases in early 2000s. Based upon our control efforts, it was sharply decreased and diagnosis 576 cases in last year. We made Action Plan in this year for certification of malaria elimination by WHO until year 2024. In this plan, we need to strengthen our capacity of vector surveillance and control. For vector surveillance, we will introduce daily mosquito population monitoring system. In 2020, every malaria high risk area install two mosquito counters and send information to main server. For vector control, we will try building capacity of malaria mosquito control people in the Public Health center and military section. To decrease no. of mosquitoes, we will concentrate our resource to cattle shed, which is main blood source of Anopheline mosquitoes. Based on the ecological characteristic of Anopheline, we will adopt Integrate Vector management (IVM) including physical, chemical and biological method. Based on the reconciliation with North Korea, we will support technical and material support for malaria elimination.

In 2017, a total of 82 non-target species representing six orders of insects were captured in four types of tephritid fruit fly (Diptera: Tephritidae) surveillance traps located in Korea; the species included 6 families of Coleoptera, 1 of Dictyoptera, 17 of Diptera, 2 of Hemiptera, 3 of Hymenoptera, 1 of Neuroptera, 4 of Lepidoptera, and 1 of Raphidioptera. Of these, Diptera were the most abundant; the main families included Muscidae, Tephritidae, and Anthomyiidae. Herein, based on a survey, we present a list of the species of non-target insects captured in the tephritid fruit fly surveillance traps.

A total of 53 nontarget species representing six orders of insects were captured in the codling moth surveillance traps placed in Korea over the last eight years. These included 20 species (37.7%) of moths (Lepidoptera) belonging to 9 families of which 9 species were tortricids, 12 species (22.6%) of beetles (Coleoptera) belonging to 10 families, 11 species (20.8%) of flies (Diptera) belonging to 7 families; 4 families of true bugs (Hemiptera) including one species of Anthocoridae (9.4%); 1 family of Hymenoptera including 2 species of Formicidae (3.8%) and 1 family of Neuroptera including 3 species of Chrysopidae (5.7%). A list of the species of nontarget insects captured in the codling moth surveillance traps is provided. A brief diagnosis and photographs of Aterpia issikii Kawabe, the tortricid moth newly documented in Korea are provided.

돌발해충인 갈색날개매미충, 미국선녀벌레, 꽃매미, 갈색여치, 먹노린재, 목화진딧물과 남방계해충인 애멸구, 배추좀나방, 볼록총채벌레, 담배거세미나방, 풀색노린재를 대상으로 충청과 제주지역에서 발생실태를 조사한 결과, 농경지내 갈색여치, 목화진딧물은 화학약제의 사용으로 관찰이 쉽지 않았고 풀색노린재는 생태습성성상 관찰이 쉽지않아 이들 해충을 제외하고 발생실태를 조사하였다. 갈색날 개매미충은 충청지역의 경우 2017년까지는 집중분포 양상을 보이다 2018년 알조사에서부터는 임의분포를 보이기 시작하였고, 미국선녀벌레는 경기와 충북 지역과 인접한 곳에서 집중분포를 보였다. 제주지역의 경우 2017년 제주시 한림읍 협재리 인근에서 최초 발생하였다. 먹노린재는 2018년 최대발생양상을 보였고, 충남 서천, 청양, 홍성, 태안을 중심으로 대발생 양상을 보였다. 애멸구는 충남 공주와 서천에서 밀도가 높았다. 갈색날개매미충과 미국선녀벌레의 발생밀도는 낮게 조사되었으나 발생면적은 증가하였다. 볼록총채벌레는 충청지역 감나무에서 발견되었고 제주지역 감귤에서는 발견되지 않았으나 녹차밭에서는 발생량이 높았다. 추후 돌발 및 남방계 해충에 대한 위해성 평가를 통하여 발생가능성 정보를 제공할 계획이다.

2018년 강원도 춘천의 경우 동계최저기온(12월 상순~2월 중순)은 전년대비 약 0.2~9℃낮은 것으로 나타났다. 이에따라 돌발해충의 월동난 부화율이 감소하는 추세를 보였으며 실제로 갈색날개매미충은 전년대비 약52%, 꽃매미는 약67% 부화율이 낮아졌다. 또한 최근 강원도에서 발생면적이 증가하고 있는 미국선녀벌레는 5월 하순에 부화하여 7월 상순에 인삼포장에서 주당 최대 12마리(중산간지)의 약충발생밀도를 보였고, 약제방제가 이루어지지않은 아까시나무에서는 7월상순 가지당 312마리(산간지)의 최고발생밀도를 보였다. 갈색날개매미충의 경우 복숭아과원에서의 발생은 많지 않았지만 과원주변 수목에서는 7월상순 가지당 최고 73마리(산간지)의 약충이 발생하였다. 꽃매미는 5월 하순 부화가 시작된 후 포도과원에서 주당 최고 12마리(산간지)의 약충이 발생하였지만 약제방제를 통해 시간이 지남에 따라 밀도가 점차 줄어드는 것을 확인하였고, 볼록총채벌레는 8월 상순부터 발생이 시작되어 9월 상순 트랩당 4.8마리(평야지)의 발생밀도를 보였다.

경기지역에 발생하는 돌발 및 남방계 해충의 발생실태 조사결과, 겨울철 경기지역 평균기온이 전년보다 3.7℃, 평년보다는 1.2℃ 낮게 경과함에 따라 포도 재배지 꽃매미 평균 월동난 부화율은 35.6%로 전년 대비 60% 감소하였음. 블루베리 재배지 갈색날개매미충의 평균 월동난 부화율은 26.9%로 전년 대비 50% 감소하였으며, 겨울철 피해가지 제거로 부화약충의 밀도는 매우 낮았음. 저온 적응성이 강한 미국선녀벌레의 경우 6월 중순 안성지역 평야 블루베리에서 약충이 가지당 최대 6.64마리 발견되었으나, 하절기 고온 등으로 성충의 밀도는 크게 감소되었음. 남방계 해충인 볼록총채벌레는 포도 재배지에서 5월 하순부터 발견되기 시작하여 7월 상순부터 급격히 증가하는 양상을 보인 가운데 지역별로는 남부지역(안성), 지대별로는 중산간지 > 산간지 > 평야지 순으로 높은 경향을 보였음.