The interlacing technique has a long history of use as a means of creative expression and persists in modern society to satisfy the individual pursuit of pastimes. This method has the developmental potential to create new trends in the future. Interlacing techniques (e.g., basketry, plaiting, braiding, and knotting) are closely related to plastic arts fields, architecture, art, and industrial design where the various interlacing practices are applied. This research uses case analysis to study the types of expression found in the formative art field wherein the interlacing technique is applied. Results reveal several expressions, including optical illusion visual type, relief surface type, porous perspective type, and object borrowing type, all of which appeared in fashion bags. The aesthetic formativeness, which appeared in the fashion bags that applied interlacing techniques, was then classified according to geometric formative beauty in a process based on rules and order. Nature-friendly formative beauty reflecting handicraft locality and omnidirectional formative beauty by disordered deconstruction and heterogeneous combination were determined. The use of interlacing techniques that show creative, unique combinations and variations is expected to inspire the development and application of bag design that suits individual and original modern fashion trends. One limitation of this thesis is that it only studied cases appearing in modern fashion bags.
This study evaluated a potential sterilization process that uses calcium hypochlorite (Ca(ClO)2) as a disinfectant and hydrogen peroxide (H2O2) as a neutralizing agent for monoculture processes of microalgae (Nannochloropsis oculata). The results showed that no contaminants (prokaryote) were present when the Ca(ClO)2 concentration was greater than 0.010%. The use of an equivalent amount of H2O2 completely neutralized Ca(ClO)2 and had an additional bactericidal effect because of the formation of singlet oxygen. No substantial difference was observed in the biomass accumulation and chlorophyll contents compared to those in cultures sterilized using conventional physical methods such as autoclaving. Therefore, chemical sterilization using Ca(ClO)2 and H2O2 has an excellent economic advantage, and we expect the proposed ecofriendly chemical sterilization method to become a critical culture technology for microalgae-related industrialization.
Global climate change and increased international travel have affected the transmission of mosquito-borne diseases. In South Korea, uncommon diseases such as Dengue, chikungunya and Zika virus could be transmitted by potent mediator like Aedes albopictus. In order to cope with the risk of mosquito-borne diseases, rapid mosquito monitoring system is needed. Current mosquito monitoring procedures include installation of outdoor traps-mosquito collection-species classification-analysis of disease detection – upload of information to government research institutes – disease alert. In this process, species classification takes a lot of time, and if we reduce the time, we can cope with the disease outbreak more quickly. In this study, we developed automate species classification system target for 5 mosquito species (Culex pipiens, Cx. tritaeniorhynchus, Ae. albpictus, Ae. vexans, Anopheles spp.) disease vector live in South Korea. After modeling the morphology of each mosquito species, machine learning was carried out using DenseNet (Densely Connected Networks), one of the models of Artificial Neural Network. Using the learned model, we tested the classification of 5 species of mosquitoes and showed the accuracy from 97.35% to 99.48% at the maximum. Future research will focus on increasing the number of identifiable mosquito species and reducing the time spent on species classification. The autonomous classification of mosquito species using Deep Learning technology will contribute to the development of mosquito monitoring system and public health.