In this paper, we developed the inspection system of electric vehicle pouch battery using image processing. Line scan cameras are used for acquiring the all parts of the pouch battery, and several steps of image processing for extracting significant dimensions(User Required Position) of the battery. In image processing, edge lines, node points, dimension lines, etc. were extracted using Preprocessor, Square Edge Detection, and Size Detection algorithms. This is used to measure the dimensions of the location requested by the user on the pouch battery. For verification of the inspection system, the dimensions of three pouch batteries produced in the same process were measured, and the mean and standard deviation were obtained to confirm the precision.

Internet of Things(IoT) services have increased the demand for connectivity among electronics devices. As a result, various types of novel wireless communication technologies have been standardized and developed. In this paper, we evaluate the performance of low power wireless communication technologies such as Bluetooth, IEEE 802.15.4, DASH 7, IEEE 802.15.4g, LoRa, and SigFox in various environments. This is the first experiment evaluating various low power wireless communication technologies in real testbed. We expect that the evaluation results will be useful data to other researchers in applying the IoT technology in the future.

Recent development of deep learning techniques for image generation has led to straightforward generation of sophisticated deepfakes. However, as a result, privacy violations through deepfakes has also became increased. To solve this issue, a number of techniques for deepfake detection have been proposed, which are mainly focused on RGB channel-based analysis. Although existing studies have suggested the effectiveness of other color model-based analysis (i.e., Grayscale), their effectiveness has not been quantitatively validated yet. Thus, in this paper, we compare the effectiveness of Grayscale channel-based analysis with RGB channel-based analysis in deepfake detection. Based on the selected CNN-based models and deepfake datasets, we measured the performance of each color model-based analysis in terms of accuracy and time. The evaluation results confirmed that Grayscale channel-based analysis performs better than RGB-channel analysis in several cases.

Detection of outliers deviating normal data distribution in high dimensional data is an important technique in many application areas. In this paper, a distance-based outlier detection method using landmarks in high dimensional data is proposed. Given normal training data, the k-means clustering method is applied for the training data in order to extract the centers of the clusters as landmarks which represent normal data distribution. For a test data sample, the distance to the nearest landmark gives the outlier score. In the experiments using high dimensional data such as images and documents, it was shown that the proposed method based on the landmarks of one-tenth of training data can give the comparable outlier detection performance while reducing the time complexity greatly in the testing stage.

This paper discusses missing data processing using simple moving average (SMA) and kalman filter. Also SMA and kalman predictive value are made a comparative study. Time series analysis is a generally method to deals with time series data in photovoltaic field. Photovoltaic system records data irregularly whenever the power value changes. Irregularly recorded data must be transferred into a consistent format to get accurate results. Missing data results from the process having same intervals. For the reason, it was imputed using SMA and kalman filter. The kalman filter has better performance to observed data than SMA. SMA graph is stepped line graph and kalman filter graph is a smoothing line graph. MAPE of SMA prediction is 0.00737%, MAPE of kalman prediction is 0.00078%. But time complexity of SMA is O(N) and time complexity of kalman filter is O(D²) about D-dimensional object. Accordingly we suggest that you pick the best way considering computational power.

Currently, the application of virtual reality technology is becoming more and more popular in all aspects of life. From virtual entertainment to industrial simulation, the new operation and working methods brought by virtual reality visualization technology have greater appeal and advantages. With the renewal and iteration of related equipment, more and more functions make its limitations continue to decrease, but its applicability continues to improve. Take the optically transparent head-mounted device as an example. It integrates more computer functions, presents and interacts in a virtual way, further integrates with daily behaviors, and shortens the distance between users and digital information.

Combined with expert interviews and questionnaire investigations, this paper aims at analyzing the different characteristics of the animated characters Spider-Man from Spider-Man: Into the Spider-Verse based on Hunlock Effect, in order to provide appropriate guidance for animation characters designers and limited inspiration for creative practices. First, Spider-Man: Into the Spider-Verse is chosen as the case to analyze 6 Spider-Man with different personalities, who appear at the same time. Then, Spider-Man's characteristics are analyzed through interviews with experts. At last, the key study focuses on the influence of environmental factors on the formation of Spider-Man's roles in the theory of Hunlock Effect, in light of the principle of personality formation in psychology. From the perspective of psychology, interdisciplinary study on animated characters provides scientific and effective support for animation character design, and increases the fascination of animation characters' personalities.

This paper addresses the task of transferring facial blendshape models to an arbitrary target face. Blendshape is a common method for the facial rig; however, production of blendshape rig is a time-consuming process in the current facial animation pipeline. We propose automatic blendshape facial rigging based on our blendshape transfer method. Our method computes the difference between source and target facial model and then transfers the source blendshape to the target face based on a deformation transfer algorithm. Our automatic method provides efficient production of a controllable digital human face; the results can be applied to various applications such as games, VR chating, and AI agent services.

Among the diverse apartment brand TV Ads, KCC Switzen uses a unique advertising strategy. Unlike their competitors, KCC Switzen uses a strategy without fancy rhetoric such as luxury, premium or high-tech to enhance the value of their housing. In order to define the value of contemporary housing this paper analyses the socio-cultural messaging of KCC Switzen's television advertisements using Qualitative content analysis and Floch's Semiotic Square of Consumption Values method. As a result of this analysis, KCC Switzen's advertisements are shown to contain both intrinsic values of housing and cultural humanism by asking ablout the daily lives of real families and their relationships with neighbors. This directly contrasts with the standard advertisements that focus on the investment value of residential housing. The unique KCC Switzen advertising strategies are expected to change the paradigm of residential housing.

Under the background of the rapid development of digital educational games, we have to evidently research the elements of the achievement system of children's DEG (Digital Educational Game), and analyze the relations between the elements and make a profound study on the achievement system and its components on the impact of player's attitude. Compared with the existing research, the research contents and methods are innovative and reliable. The results show that players have a positive attitude towards the DEG achievement system, DEG achievement system has important value and role for educational games. Which is made of five elements: symbol, reward, logic, social interaction, and knowledge. The five elements interact with each other and have a positive impact on players' attitudes. DEG achievement system with five elements will bring players a positive experience. These findings provide a detailed study of the components of the achievement system. With all of these, we can explain the role and relationship of the components, and provide new ideas and empirical evidence for the design and development of children's educational game achievement system. The above findings provide a detailed description of the components of the DEG achievement system, explain the role and value of each component, and the relationships and patterns among the components, it provides a new perspective and empirical evidence for the design and development of the children's system DEG results.