Rose is one of the most economically important ornamental crops worldwide. Although rose products are widely used, limited genetic and genomic data from this species is available. Fundamental genetic knowledge can accelerate the development of superior rose germplasms. In the present study, we explored the genetic data (e.g., chromosome numbers, total chromosome length, and ploidy level) of 39 rose cultivars using conventional cytogenetic methods. Of the 39 rose cultivars tested, 36 (92.3%) were tetraploid (2n = 4x = 28). ‘Rosada,’ ‘Rosemarin,’ and ‘Hanmaum’ were diploid (2n = 2x = 14), triploid (2n = 3x =21), and tetraploid-based aneuploid (2n = 4x = 28 + 2), respectively. The total chromosome length ranged from 46.03 ± 0.55 μm in ‘Rosada’ (2x) to 138.51 ± 0.92 μm in ‘Christoper’ (4x). The chromosome information obtained in this study will be useful for rose breeding and germplasm evaluation.

포인트 클라우드를 활용한 폴리곤 모델 활용에 대해서는 지속적으로 연구되고있다. 이러한 연구는 대부분 하이 폴리곤 모델을 대상으로 생성된 모델을 활용한 기술이다. 오늘날 비디오 게임 등에서 활용되는 하이 폴리곤 모델은 대부분 높은 퍼포먼스를 바탕으로 화려한 효과를 표현한다. 그러나 게임 등의 콘텐츠에 있어서 화려한 효과와 높은 품질의 리소스를 활용한 게임만이 만족도를 충족시켜주는 것이 아니다. 콘텐츠에 따라서 의도적으로 로우 폴리곤 모델을 활용하기도 한다. 인디 게임 등에서는 낮은 접근성을 장점으로 로우 폴리곤 형태의 모델을 제작하여 이를 활용한 게임들도 지속적으로 개발되어 왔다. 따라서 본 연구에서는 이러한 변화에 맞춰서 포인트 클라우드 데이터를 활용하여 로우 폴리곤 모델을 생성 및 음영 처리하는 방법을 제안한다. 여러 개의 모델을 생성하여, 각각의 모델이 하나의 텍스처를 공유하고, 음영을 처리한다. 마지막으로 라이트맵 기법의 결과물과 비교하는 실험을 진행한다.

This paper proposes a methodology for gantry route optimization in order to maximize the productivity of a odd-type surface mount device (SMD). A odd-type SMD is a machine that uses a gantry to mount electronic components on the placement point of a printed circuit board (PCB). The gantry needs a nozzle to move its electronic components. There is a suitability between the nozzle and the electronic component, and the mounting speed varies depending on the suitability. When it is difficult for the nozzle to adsorb electronic components, nozzle exchange is performed, and nozzle exchange takes a certain amount of time. The gantry route optimization problem is divided into the mounting order on PCB and the allocation of nozzles and electronic components to the gantry. Nozzle and electronic component allocation minimized the time incurred by nozzle exchange and nozzle-to-electronic component compatibility by using an mixed integer programming method. Sequence of mounting points on PCB minimizes travel time by using the branch-and-price method. Experimental data was made by randomly picking the location of the mounting point on a PCB of 800mm in width and 800mm in length. The number of mounting points is divided into 25, 50, 75, and 100, and experiments are conducted according to the number of types of electronic components, number of nozzle types, and suitability between nozzles and electronic components, respectively. Because the experimental data are random, the calculation time is not constant, but it is confirmed that the gantry route is found within a reasonable time.