# Current Research in Future Information and Communication Engineering 2022
## 2 Future Information and Communication Engineering 2022  
There are two review papers included in this Special Issue. One of the reviews was written by [PERSON] et al. [2] who highlighted that the integration of AI, blockchain (BC), and IOT technologies can enable more personalized, efficient, and secure care delivery, reduce costs, and increase patient life expectancy. Methods on how to improve healthcare quality using the metaverse environment and increase patient life expectancy through more confident processes such as chronic disease management, fitness, and mental health care in the metaverse were investigated. The other of the reviews was constructed by [PERSON] et al. [3] who provided comprehensive insights related to state-of-the-art structural similarity (SSIM) approaches which were underlined for medical imaging, as well as the medical image examination research methods that could potentially be improved through the use of SSIM. Potential research directions in applying such similarities related to medical image analyses are also described. Two papers focused on biomedical image classification using fuzzy-based learning approaches. The first one, by [PERSON] et al. [4], proposed and evaluated a robust automatic segmentation method using double-layered outlier rejection fuzzy c-means (DORFCM) to identify an inflamed appendix from abdominal ultrasound images. The second one, by [PERSON] et al. et al. [5], also proposed and evaluated a hierarchical combination of the fuzzy unsupervised learning component (FCM) and supervised learning component (FMM: fuzzy max-min neural network) in diabetes diagnosis, a highly noisy domain with not much labelled data and many missing values in the dataset. Four papers focused on multimedia and digital convergence. The first one, authored by [PERSON] et al. [6], proposed a self-adaptive approximated-gradient-simulation method for black-box adversarial attacks (SAGM) to generate efficient perturbation samples. Knowledge-based differential evolution was used to simulate gradients and the self-adaptive momentum gradient to generate adversarial samples. The proposed method can quickly and efficiently search for perturbation samples to misclassify the original samples. The second paper, authored by [PERSON] et al. [7], developed a training service for non-native speakers of Korean to increase their ability to speak the language. The service can generate a score automatically based on how similar the recorded voice is to the actual sentence using speech-to-text (STT) engines and sentence transformers. The third paper, authored by [PERSON] et al. [8], introduced the automatic generation of movie tags to improve the movie recommendation system. Background sounds from movie trailer videos were extracted, and the sounds using short-time Fourier transform (STFT) and major audio attribute features were analyzed, and a genre prediction model was created. The other paper, authored by [PERSON] et al. [9], proposed a multi-population differential evolution (MUDE) algorithm with a uniform local search to balance exploitation and exploration for the compensation of population diversity and local search ability for gradual deterioration. Two papers focused on virtual and augmented reality. The first one, authored by [PERSON] et al. [10], compared and explored the effect of passive haptic parameters on the user's perception by using different transformation conditions in immersive virtual environments. From the experiments, it was shown that the participants felt the same within a certain range, which seems to support the \"minimum cue\" theory in providing sufficient sensory stimulation. The second paper, authored by [PERSON] et al. [11], presented a novel method to adjust the automatic gaze alignment of the teleported avatar to match the local site for mixed reality (MR) collaborative environments. Comparative validation experiments to measure the spatial accuracy of the gaze and evaluate the user's communication efficiency using the method were performed.