The leafhopper family Cicadellidae (Hemiptera: Auchenorrhyncha) is plant feeders, with mouthparts adapted for sucking. Almost of the them cause injuries of destruction to plants, including fruit trees and grain crops, and can be vectors of plant diseases. Therefor, Cicadellidae is one of the most important pests in the world. However, their identifications are very difficult because of small size and morphological similarities, and their exact biological information such as host plants, life cycle and distribution are not clear for most species. So, we provide and integrated biological database that present accurate diagnostic methods and ecological infromation.

The leafhopper subfamily Deltocephalinae are the biggest group belonging to the Cicadellidae. Deltocephalinae consists of 38 tribes, 923 genera, and 6,683 valid species in worldwide. The genus Scaphoideus Uhler of the subfamily is the largest genus of the tribe Scaphoideini with two subgenera and comprised about 160 species found in the world. Some of Scaphoideus species are serious pests and vectors of phytoplasma such as Scaphoideus titanus, S. luteolus. In this talk, the leafhopper genus Scaphoideus from Korea peninsula is reviewed with one new species and one new recorded species. Additionally, morphological information and descriptions of genitalia, and a key to the species of Scaphoideus are provided.

Deltocephalinae (Hemiptera: Auchenorrhyncha: Cicadellidae) is the largest subfamily of Cicadellidae, and caused direct damage on their host plants by feeding and spawning, or as vectors of plant pathogens such as viruses, phytoplasmas, and bacteria. It contains majority of cicadellid vector species of economically important plant disease. Despite of economical pests, Deltocephalinae is difficult to identify due to morphological similarities and variations, yet, their biological information like host plants and taxonomical characters has not been constructed for accurate diagnosis of species. In this study, we build a database of integrated biological information such as host plants, distributional records and dorsal habitus of specimens, male genitalia, and DNA barcoding data with illustrations and photographs.

The family Cicadellidae (Hemiptera: Auchenorrhyncha) is one of the largest insect families, and contains approximately 22,000 described species. All members of this group are phytophagous, therefore, many of them are known as insect pests. Additionally, some species can transfer some pathogens such as viruses and phytoplasmas to plants as a vector. Macropsis (Cicadellidae: Macropsinae) is one of the largest groups in Cicadellidae, and has a world distribution. Among them, M. mendax and M. fuscula are famous for a vector associated with phytoplasma disease in Europe (Elm yellow, Rubus stunt disease). In Korea, three Macropsis species have been recorded to date. In this talk, genus Macropsis is reviewed from Korea. Morphological information such as diagnoses and descriptions of genitalia and the key to Macropsis are presented.

La1-xBaxMnO3 (x = 0.30, 0.35 and 0.40) samples have been prepared by solid-state reaction method. The X-ray diffraction (XRD) study showed that all the samples crystallized in a rhombohedral structure with an R-3c space group. Variation of the magnetization as a function of the temperature and applied magnetic field was carried out. All the samples revealed ferromagnetic to paramagnetic (FM-PM) phase transition at the Curie temperature TC ~ 342 K. The magnetic entropy change was also studied through examination of the measured magnetic isotherms M(H, T) near TC. The magnetocaloric effect was calculated in terms of the isothermal magnetic entropy change. The maximum entropy change reaches a value of 1.192 J/ kgK under a magnetic field change of 2.5T for the La0.6Ba0.4MnO3 composition. The relative cooling power (RCP) is 79.31 J/ kg for the same applied magnetic field.

This study presents a flexible and highly stretchable textile circuit line for the signal and power transmission of smart clothing systems that provide wearing comfort and high mobility to where’s. A textile based circuit network on smart clothing requires 30% stretch ability so as not to constrain body movement. The advantages of a textile band type transmission line is the easy configuring of several separate transmission lines on a single band to construct a sensor module network. Conductive transmission line yarns have to be protected from deformation when textile transmission lines are stretched according to body movement. To ensure the elastic property of the smart clothing, textile transmission lines need to stretch more than 30% using the additional spandex yarns in warp. Four strands of conductive yarns were inserted in a single transmission line and each transmission line indicated 0.03Ω/cm in resistance. The resistance change rate of the textile transmission line during elongation was measured using a universal testing machine (Instron 5543) and Milliohmeter (Agilent 4338). The resistance of the transmission lines unchanged until breakage occurred at the 140% strain level. Resistance started to change at the 180% strain level where conductive yarns start to deform and break. In conclusion, the proposed textile transmission provides a comfortable wearing sensation that maintains a stable electrical performance during any type of body movement and is suitable for the wearable circuit of a highly stretchable smart wear system.

Activated carbons (ACs) were prepared by activation of coal tar pitch (CTP) in the range of 700°C-1000°C for 1-4 h using potassium hydroxide (KOH) powder as the activation agent. The optimal activation conditions were determined to be a CTP/KOH ratio of 1:4, activation temperature of 900°C, and activation time of 3 h. The obtained ACs showed increased pore size distribution in the range of 1 to 2 nm and the highest specific capacitance of 122 F/g in a two-electrode system with an organic electrolyte, as measured by a charge-discharge method in the voltage range of 0-2.7 V. In order to improve the performance of the electric double-layer capacitor electrode, various mixtures of CTP and petroleum pitch (PP) were activated at the optimal activation conditions previously determined for CTP. Although the specific capacitance of AC electrodes prepared from CTP only and the mixtures of CTP and PP was not significantly different at a current density of 1 A/g, the AC electrodes from CTP and PP mixtures showed outstanding specific capacitance at higher current rates. In particular, CTP-PP61 (6:1 mixture) had the highest specific capacitance of 132 F/g, and the specific capacitance remained above 90% at a high current density of 3 A/g. It was found that the high specific capacitance could be attributed to the increased micro-pore volume of ACs with pore sizes from 1 to 2 nm, and the high power density could be attributed to the increased meso-pore volume.

Tropical cyclones (TCs) over the western North Pacific (WNP) mainly occur during June-October, and result in significant casualties and damages to property in East Asian countries (e.g., Korea, Japan, Taiwan, and China, etc.). Although the total number of TCs that occurred over WNP was similar to normal years, the numer of TCs that affected Korea in August and September 2019 was 3 times higher than with the same number of TCs in July. Therefore, this study examined why more TCs migrated into Korea in 2019 through analyzing four environmental conditions: steering flow, geopotential height at 500 hPa, vertical wind shear (VWS), and sea surface temperature (SST). Results showed that the tracks of TCs were significantly associated with steering flows from July to September. Furthermore, weaker VWS and warmer SST were distributed near the tracks of TCs during August and September, whereas strong VWS and lower SST were dominant in July. The environmental conditions in August and September were favorable for maintaining and developing TCs, explaining why more typhoons have affected Korea during August and September in 2019.

The main goal of e-learning systems is just-in-time knowledge acquisition. Rule-based elearning systems, however, suffer from the mesa effect and the cold start problem, which both result in low user acceptance. E-learning systems suffer a further drawback in rendering the implementation of a natural interface in humanoids difficult. To address these concerns, even exceptional questions of the learner must be answerable. This paper aims to propose a method that can understand the learner’s verbal cues and then intelligently explore additional domains of knowledge based on crowd data sources such as Wikipedia and social media, ultimately allowing for better answers in real-time. A prototype system was implemented using the NAO platform.