This study developed conductive inks composed of carbon black (CB) and silver nanowires (Ag NWs) for cost-effective screen-printing on fabrics. The Ag NW density within the CB matrix was precisely controlled, achieving tunable electrical conductivity with minimal Ag NW usage. The resulting inks were successfully patterned into shapes such as square grids and circles on textile surfaces, demonstrating excellent conductivity and fidelity. Adding 19.9 wt% Ag NWs reduced sheet resistance by ~92% compared to CB-only inks, highlighting the effectiveness and potential of this hybrid approach for cost-effective, high-performance textile-based electronics. The one-dimensional morphology of Ag NWs facilitated the formation of conductive percolation networks, creating efficient electron pathways within the CB matrix even at low loadings. This work advances the field of CB-based conductive inks and provides a scalable and practical method for producing functional, patterned electronic textiles.

Staphylococcus aureus와 Bacillus cereus는 식중독을 일으키는 주요한 원인균 중 하나로 각종 식품에서 검출되면서 많은 주의가 요구되고 있다. 식중독 발생의 원인균을 신속하고 정확하게 검출할 수 있는 여러 가지 방법 중 DNA 분석을 기반으로 하는 PCR 검출법이 보편적으로 사용되고 있다. 본 연구에서는 샌드위치와 같은 즉석 섭취 식품에서 식중독을 유발할 수 있는 S. aureus와 B. cereus 의 신속검출을 위해 conventional PCR과 real-time PCR의 특이도 및 민감도를 비교하였다. 그 결과, 검출한계 범위가 배양액에서는 cPCR의 경우 S. aureus (104-106 CFU/mL), B. cereus (103-105 CFU/mL) 이였고, real-time PCR의 경우 S. aureus (103-106 CFU/mL), B. cereus (102-105 CFU/mL) 이였다. 식품에서는 cPCR의 경우 S. aureus (104-106 CFU/mL), B. cereus (103-105 CFU/mL) 이고, real-time PCR의 경우 S. aureus (104-106 CFU/mL), B. cereus (103-105 CFU/mL) 으로 나타났다. Real-time PCR법이 cPCR법 보다 10배 이상 더 민감한 것으로 나타났다. 따라서 real-time PCR은 우수한 민감도를 지닌 검출기법으로 식중독 세균 검출에 있어 매우 효과적인 방법으로 사료된다.

Multi-view system is one of the auto-stereoscopic displays that allows users to watch 3D images without wearing special glasses. Generating contents for the multi-view display system is often accomplished using Depth-image-based rendering (DIBR) intermediate view generation. DIBR-based intermediate view generation method reconstructs a 3D scene with a color image and depth map information. Then, a virtual camera is put in various view positions to capture intermediate view images. In this research, we tried to improve the quality of the DIBR-based intermediate views by applying non-uniform quantization method for depth map information. This paper describes the intermediate view generation process using DIBR. Then, it discusses the evaluation of multi-view intermediate images generated using uniform and non-uniform depth quantization methods. Finally, the paper describes the future direction and how the muti-view systems can be utilized in computer games.