About the Journal
Journal of New Media (JNM) aims to provide a high quality and timely forum for researchers, engineers whose research interests focus on digital multimedia processing to share their state-of-the-art achievements, to learn the multimedia processing developments.
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Open Access
ARTICLE
Design of Artificial Intelligence Companion Chatbot
Journal of New Media, Vol.6, pp. 1-16, 2024, DOI:10.32604/jnm.2024.045833 - 28 March 2024
Abstract With the development of cities and the prevalence of networks, interpersonal relationships have become increasingly distant. When people crave communication, they hope to find someone to confide in. With the rapid advancement of deep learning and big data technologies, an enabling environment has been established for the development of intelligent chatbot systems. By effectively combining cutting-edge technologies with human-centered design principles, chatbots hold the potential to revolutionize our lives and alleviate feelings of loneliness. A multi-topic chat companion robot based on a state machine has been proposed, which can engage in fluent dialogue with humans… More >
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Open Access
ARTICLE
Research on Parking Path Planing Based on A-Star Algorithm
Journal of New Media, Vol.5, No.1, pp. 55-64, 2023, DOI:10.32604/jnm.2023.040252
Abstract The issue of finding available parking spaces and mitigating congestion during parking is a persistent challenge for numerous car owners in urban areas. In this paper, we propose a novel method based on the A-star algorithm to calculate the optimal parking path to address this issue. We integrate a road impedance function into the conventional A-star algorithm to compute path duration and adopt a fusion function composed of path length and duration as the weight matrix for the A-star algorithm to achieve optimal path planning. Furthermore, we conduct simulations using parking lot modeling to validate More >
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Open Access
ARTICLE
Accurate Machine Learning Predictions of Sci-Fi Film Performance
Journal of New Media, Vol.5, No.1, pp. 1-22, 2023, DOI:10.32604/jnm.2023.037583
Abstract A groundbreaking method is introduced to leverage machine learning algorithms to revolutionize the prediction of success rates for science fiction films. In the captivating world of the film industry, extensive research and accurate forecasting are vital to anticipating a movie’s triumph prior to its debut. Our study aims to harness the power of available data to estimate a film’s early success rate. With the vast resources offered by the internet, we can access a plethora of movie-related information, including actors, directors, critic reviews, user reviews, ratings, writers, budgets, genres, Facebook likes, YouTube views for movie… More >
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Open Access
ARTICLE
Cost Efficient Automated Fog Spraying Machine: A Covid-19 Hand Sanitization Solution
Journal of New Media, Vol.5, No.1, pp. 33-43, 2023, DOI:10.32604/jnm.2023.038676
Abstract As a result of the introduction of new infectious illnesses, key infection prevention measures were implemented. Now, a new coronavirus (SARS-CoV-2) epidemic has expanded swiftly, causing the coronavirus illness 2019 (COVID-19). Many microorganisms spread illness via hospital surfaces due to environmental pollution. This virus has been associated to close contact between persons in tight situations such as houses, hospitals, assisted living, and residential institutions. Aside from health care settings, public buildings, faith-based community centers, marketplaces, transportation, and corporate environments are prone to COVID-19 transmission. Physical contact to the sanitizer device may cause for spread Covid More >
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Open Access
REVIEW
The Review of Secret Image Sharing
Journal of New Media, Vol.5, No.1, pp. 45-53, 2023, DOI:10.32604/jnm.2023.039962
Abstract Secret image sharing (SIS) is a significant research topic of image information hiding, which divides the image into multiple shares and distributes them to multiple parties for management and preservation. In order to reconstruct the original image, a subset with predetermined number of shares is needed. And just because it is not necessary to use all of the shares to make a reconstruction, SIS creates a high which breaks the limitations of traditional image protection methods, but at the same time, it causes a reduce of safety. Recently, new technologies, such as deep learning and More >
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Open Access
REVIEW
Review of Visible-Infrared Cross-Modality Person Re-Identification
Journal of New Media, Vol.5, No.1, pp. 23-31, 2023, DOI:10.32604/jnm.2023.038580
Abstract Person re-identification (ReID) is a sub-problem under image retrieval. It is a technology that uses computer vision to identify a specific pedestrian in a collection of pictures or videos. The pedestrian image under cross-device is taken from a monitored pedestrian image. At present, most ReID methods deal with the matching between visible and visible images, but with the continuous improvement of security monitoring system, more and more infrared cameras are used to monitor at night or in dim light. Due to the image differences between infrared camera and RGB camera, there is a huge visual More >
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Open Access
ARTICLE
Topic Modelling and Sentiment Analysis on YouTube Sustainable Fashion Comments
Journal of New Media, Vol.5, No.1, pp. 65-80, 2023, DOI:10.32604/jnm.2023.045792
Abstract YouTube videos on sustainable fashion enable the public to gain basic knowledge about this concept. In this paper, we analyse user comments on YouTube videos that contain sustainable fashion content. The paper’s main objective is to help content creators and business managers effectively understand the perspectives of viewers, thus improving video quality and developing business. We analysed a dataset of 17,357 comments collected from 15 sustainable fashion YouTube videos. First, we use Latent Dirichlet Allocation (LDA), a topic modelling technique, to discover the abstract topics. In addition, we use two approaches to rank these topics: More >
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Open Access
ARTICLE
Design of Artificial Intelligence Companion Chatbot
Journal of New Media, Vol.6, pp. 1-16, 2024, DOI:10.32604/jnm.2024.045833
Abstract With the development of cities and the prevalence of networks, interpersonal relationships have become increasingly distant. When people crave communication, they hope to find someone to confide in. With the rapid advancement of deep learning and big data technologies, an enabling environment has been established for the development of intelligent chatbot systems. By effectively combining cutting-edge technologies with human-centered design principles, chatbots hold the potential to revolutionize our lives and alleviate feelings of loneliness. A multi-topic chat companion robot based on a state machine has been proposed, which can engage in fluent dialogue with humans… More >
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