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Journal articles on the topic 'Visual Computing (VIC)'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Koch, C., H. T. Wang, and B. Mathur. "Computing motion in the primate's visual system." Journal of Experimental Biology 146, no. 1 (1989): 115–39. http://dx.doi.org/10.1242/jeb.146.1.115.

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Computing motion on the basis of the time-varying image intensity is a difficult problem for both artificial and biological vision systems. We will show how one well-known gradient-based computer algorithm for estimating visual motion can be implemented within the primate's visual system. This relaxation algorithm computes the optical flow field by minimizing a variational functional of a form commonly encountered in early vision, and is performed in two steps. In the first stage, local motion is computed, while in the second stage spatial integration occurs. Neurons in the second stage repres

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Xue-Ming, Li, Li Fang-Hua, and Fan Hai-Fu. "A revised version of the program VEC (visual computing in electron crystallography)." Chinese Physics B 18, no. 6 (2009): 2459–63. http://dx.doi.org/10.1088/1674-1056/18/6/056.

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Mahamad Amin, Nurrul Akma, Nilam Nur Amir Sjarif, and Siti Sophiayati Yuhaniz. "A Review of Convolutional Neural Network Model for Audio-Visual Features Extraction in Personality Traits Recognition." International Journal of Innovative Computing 15, no. 1 (2025): 45–52. https://doi.org/10.11113/ijic.v15n1.498.

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In the field of personality computing research, the analysis on audio-visual input is predominantly used to detect human personality behaviors. With the advancement of computer vision technology, there has been significant enhancement in personality computing. Personality trait recognition is one of the applications under personality computing where the machine can analyze human behaviors and recognize personality traits via video analysis. In video input, there are different audio-visual features characteristics, consisting of visual (images) and audio (sounds) elements. Therefore, it is crit

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Wu, Wei, Shicheng Luo, and Hongying Wang. "Design of an automatic landscape design system in smart cities based on vision computing." Mathematical Biosciences and Engineering 20, no. 9 (2023): 16383–400. http://dx.doi.org/10.3934/mbe.2023731.

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<abstract><p>In future smart cities, automatic landscape design can be viewed as a promising intelligent application to reduce the reliance on expert labors. As it is a kind of visual sensing activity, it is expected to develop a robust interaction platform with strong ability of visual information fusion. To deal with this issue, this paper integrates vision computing, and designs an automatic landscape design system in smart cities. The whole design framework can be attributed as three aspects of works: function analysis, structure design and implementation. Among, the visual inf

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Nagasubramaniam, Piyush, Chen Wu, Yuanyi Sun, Neeraj Karamchandani, Sencun Zhu, and Yongzhong He. "Privacy-Preserving Live Video Analytics for Drones via Edge Computing." Applied Sciences 14, no. 22 (2024): 10254. http://dx.doi.org/10.3390/app142210254.

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The use of lightweight drones has surged in recent years across both personal and commercial applications, necessitating the ability to conduct live video analytics on drones with limited computational resources. While edge computing offers a solution to the throughput bottleneck, it also opens the door to potential privacy invasions by exposing sensitive visual data to risks. In this work, we present a lightweight, privacy-preserving framework designed for real-time video analytics. By integrating a novel split-model architecture tailored for distributed deep learning through edge computing,

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Wang, Jinyong, Yangming Leng, Tiancheng Zhao, Chunmei Li, Deen Gu, and Wei Li. "SnO₂-Based Optoelectronic Synapses for Artificial Visual Applications." Journal of Physics: Conference Series 2524, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1742-6596/2524/1/012011.

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Abstract Optoelectronic synapse units have been drawing a strong interest lately due to their obvious crucial role in the evolution of optoelectronic integration-based neuromorphic computing. Here, optoelectronic synaptic devices are fabricated based on stannic oxide (SnO2) film and with the structure of ITO/SnO2/P++-Si. Using optical stimulation, we found that the synaptic sandwich devices are highly responsive and exhibit fast switching behavior. These optically stimulated synaptic devices accurately could imitate synaptic functions, including paired-pulse facilitation (PPF), excitatory post

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Li, XiaoYong, QinYang Yu, Yong Zhang, JinWei Dai, and BaoCai Yin. "Visual Analytic Method for Students’ Association via Modularity Optimization." Applied Sciences 10, no. 8 (2020): 2813. http://dx.doi.org/10.3390/app10082813.

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Students spend most of their time living and studying on campus, especially in Asia, and they form various types of associations in addition to those with classmates and roommates. It is necessary for university authorities to master these types of associations, so as to provide appropriate services, such as psychological guidance and academic advice. With the rapid development of the “smart campus,” many kinds of student behavior data are recorded, which provides an unprecedented opportunity to deeply analyze students’ associations. In this paper, we propose a visual analytic method to constr

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Hokkanen, J. E. "Visual simulations, artificial animals and virtual ecosystems." Journal of Experimental Biology 202, no. 23 (1999): 3477–84. http://dx.doi.org/10.1242/jeb.202.23.3477.

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This review is about a field that does not traditionally belong to biological sciences. A branch of computer animation has its mission to create active self-powered objects living artificial lives in the theoretical biology zone. Selected work, of particular interest to biologists, is presented here. These works include animated simulations of legged locomotion, flexible-bodied animals swimming and crawling, artificial fish in virtual ecosystems, automated learning of swimming and the evolution of virtual creatures with respect to morphology, locomotion and behaviour. The corresponding animati

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Mamta, Abdullah Fatima, Mayank Deep Khare Mr., and Chandra Shekhar Yadav Dr. "Secure Data Transmission in Cloud Environment Using Criticality with Visual Cryptography and Genetic Algorithm." European Journal of Advances in Engineering and Technology 5, no. 11 (2018): 858–66. https://doi.org/10.5281/zenodo.10727250.

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<strong>ABSTRACT</strong> Now a day’s Cloud Computing is the great concept in the development of an on-demand network which provides access to a common pool of configurable resources. Unique feature of cloud computing is its security. Sharing of data is an imperative functionality in cloud storage. In Cloud computing environment the sharing of data and transfer has increased exponentially. There are the various factors in data security like integrity, confidentiality, and authentication services. Maintaining secrecy and protection for critical data are highly challenging, particularly wh

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Naranjo, Diana M., José R. Prieto, Germán Moltó, and Amanda Calatrava. "A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing." Sensors 19, no. 13 (2019): 2952. http://dx.doi.org/10.3390/s19132952.

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Cloud providers such as Amazon Web Services (AWS) stand out as useful platforms to teach distributed computing concepts as well as the development of Cloud-native scalable application architectures on real-world infrastructures. Instructors can benefit from high-level tools to track the progress of students during their learning paths on the Cloud, and this information can be disclosed via educational dashboards for students to understand their progress through the practical activities. To this aim, this paper introduces CloudTrail-Tracker, an open-source platform to obtain enhanced usage anal

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Chekka, Ratna Babu, and B. Ravindra Babu. "Secure Digital Data Visual Sharing Schemes in Multi-Owner Public Cloud Environment Applications." Scalable Computing: Practice and Experience 26, no. 1 (2025): 84–95. https://doi.org/10.12694/scpe.v26i1.3574.

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The use of cloud computing for storing and processing cyber data via the internet has grown widespread in the field of cyber security. Ensuring the secure sharing of cyber data, including texts, images, audio, and video, over the cloud is paramount. However, cloud computing encounters significant challenges concerning cyber data security, authentication, and privacy. The prevailing approaches to data security encounter challenges such as the generation of intricate keys, intensive computation for large keys, and susceptibility to attacks by intruders. Scalability presents its own set of obstac

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KENDER, JOHN R. "VISUAL INTERFACES TO COMPUTERS: A SYSTEMS-ORIENTED FIRST COURSE IN RELIABLE CONTROL VIA IMAGERY ("VISUAL INTERFACES")." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 05 (2001): 869–84. http://dx.doi.org/10.1142/s0218001401001209.

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We present the rationale, description, and critique of a first course in image computing that is not a traditional computer vision principles-and-tools course. "Visual Interfaces to Computers" is instead complementary to standard Computer Vision, User Interface, and Graphics courses; in fact, VI:CV::UI:G. It is organized by case studies of working visual systems that use camera input for data or control information in service of higher user goals, such as GUI control, user identification, or automobile steering. Many CV scientific principles and engineering tools are therefore taught, as well

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Ma, Ming-You, Shang-En Shen, and Yi-Cheng Huang. "Enhancing UAV Visual Landing Recognition with YOLO’s Object Detection by Onboard Edge Computing." Sensors 23, no. 21 (2023): 8999. http://dx.doi.org/10.3390/s23218999.

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A visual camera system combined with the unmanned aerial vehicle (UAV) onboard edge computer should deploy an efficient object detection ability, increase the frame per second rate of the object of interest, and the wide searching ability of the gimbal camera for finding the emergent landing platform and for future reconnaissance area missions. This paper proposes an approach to enhance the visual capabilities of this system by using the You Only Look Once (YOLO)-based object detection (OD) with Tensor RTTM acceleration technique, an automated visual tracking gimbal camera control system, and

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Jiang, Ming-xin, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, and Ahmed N. Abdalla. "Visual Object Tracking in RGB-D Data via Genetic Feature Learning." Complexity 2019 (May 2, 2019): 1–8. http://dx.doi.org/10.1155/2019/4539410.

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Visual object tracking is a fundamental component in many computer vision applications. Extracting robust features of object is one of the most important steps in tracking. As trackers, only formulated on RGB data, are usually affected by occlusions, appearance, or illumination variations, we propose a novel RGB-D tracking method based on genetic feature learning in this paper. Our approach addresses feature learning as an optimization problem. As owning the advantage of parallel computing, genetic algorithm (GA) has fast speed of convergence and excellent global optimization performance. At t

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Sun, Linfeng, Zhongrui Wang, Jinbao Jiang, et al. "In-sensor reservoir computing for language learning via two-dimensional memristors." Science Advances 7, no. 20 (2021): eabg1455. http://dx.doi.org/10.1126/sciadv.abg1455.

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The dynamic processing of optoelectronic signals carrying temporal and sequential information is critical to various machine learning applications including language processing and computer vision. Despite extensive efforts to emulate the visual cortex of human brain, large energy/time overhead and extra hardware costs are incurred by the physically separated sensing, memory, and processing units. The challenge is further intensified by the tedious training of conventional recurrent neural networks for edge deployment. Here, we report in-sensor reservoir computing for language learning. High d

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Udahemuka, Gustave, Karim Djouani, and Anish M. Kurien. "Multimodal Emotion Recognition Using Visual, Vocal and Physiological Signals: A Review." Applied Sciences 14, no. 17 (2024): 8071. http://dx.doi.org/10.3390/app14178071.

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The dynamic expressions of emotion convey both the emotional and functional states of an individual’s interactions. Recognizing the emotional states helps us understand human feelings and thoughts. Systems and frameworks designed to recognize human emotional states automatically can use various affective signals as inputs, such as visual, vocal and physiological signals. However, emotion recognition via a single modality can be affected by various sources of noise that are specific to that modality and the fact that different emotion states may be indistinguishable. This review examines the cu

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C, Vaishali, and Sudha A. "Load Adjusting Employing Stochastic Slope Climbing in Distributed Computing." Journal of Security in Computer Networks and Distributed Systems 1, no. 1 (2024): 32–36. http://dx.doi.org/10.46610/joscnds.2024.v01i01.004.

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A virtualized PC asset pool is another concept in distributed computing. A very problematic Web-based enhancement is one in which highly adaptable and often virtualized resources are provided as assistance via the Web. Distributed computing describes a type of use as well as a stage. Depending on the circumstances, a distributed computing stage gradually configures, designs, reconfigures, and supplies servers. Cloud servers can be either physical or virtual equipment distributed throughout the company. As a result, it employs the organization's registered assets (administration hubs) to execut

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Stokes, John F., and Marlene A. Devine. "Mirp: A Wearable Tool for Evaluating Effectiveness of Information Display." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 6 (2005): 728–31. http://dx.doi.org/10.1177/154193120504900602.

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Traditional approaches to HMI design focus on the use of visual displays and manual inputs, but these do not take advantage of the full range of means by which humans can perceive and interact with their environment. For wearable computing systems, the selection of modalities depends greatly on the proper consideration of human cognitive capabilities. The Multimodal Interface Research Platform (MIRP) is a wearable platform for evaluating task-relevant human performance by presenting information using three modalities: Visual (via head mounted display), Auditory (via earphones), and Haptic (via

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Jin, Er, Qihui Feng, Yongli Mou, et al. "LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 4129–37. https://doi.org/10.1609/aaai.v39i4.32433.

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Logical image understanding involves interpreting and reasoning about the relationships and consistency within an image's visual content. This capability is essential in applications such as industrial inspection, where logical anomaly detection is critical for maintaining high-quality standards and minimizing costly recalls. Previous research in anomaly detection (AD) has relied on prior knowledge for designing algorithms, which often requires extensive manual annotations, significant computing power, and large amounts of data for training. Autoregressive, multimodal Vision Language Models (A

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Li, Xinxin, Gaoming Jiang, Aijun Zhang, and Jonathan Y. Chen. "A photograph-based approach for visual simulation of wrapped Jacquardtronic lace." Textile Research Journal 88, no. 23 (2017): 2654–64. http://dx.doi.org/10.1177/0040517517729386.

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A computing approach is proposed in this paper to simulate wrapped Jacquardtronic® lace appearance based on wrapped yarn photographs. The approach focuses on the determination of yarn color distribution functions using yarn photographs and extracted hue, saturation and value meshes in HSV color mode. Section curves of these meshes are fitted with a piecewise linear fitting algorithm and least-squares method to respectively describe the distribution functions of dull, semi-dull and shinning wrapped yarns. A modified depth-buffer method is also selected for visible lapping detection when dealing

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Gong, Dawei, Zhiheng He, Xiaolong Ye, and Ziyun Fang. "Visual Saliency Detection for Over-Temperature Regions in 3D Space via Dual-Source Images." Sensors 20, no. 12 (2020): 3414. http://dx.doi.org/10.3390/s20123414.

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To allow mobile robots to visually observe the temperature of equipment in complex industrial environments and work on temperature anomalies in time, it is necessary to accurately find the coordinates of temperature anomalies and obtain information on the surrounding obstacles. This paper proposes a visual saliency detection method for hypertemperature in three-dimensional space through dual-source images. The key novelty of this method is that it can achieve accurate salient object detection without relying on high-performance hardware equipment. First, the redundant point clouds are removed

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Shkedova, Olga, and Monika Sester. "Visualization of Space Occupancy Uncertainty in a 3D Voxel-based Urban Model." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4-2024 (October 18, 2024): 311–17. http://dx.doi.org/10.5194/isprs-annals-x-4-2024-311-2024.

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Abstract. In a 3D voxel-based digital urban model - or digital urban twin, the semantics of each cell is typically visualized using RGB values to give a realistic impression. However, due to measurement uncertainties or incompleteness, some voxel occupancy might be less likely than others. This paper suggests computing an occupancy grid map using an inverse sensor model and embodying the obtained occupancy probabilities into the urban digital twin.This article then presents visualization of additional information, in this case the uncertainty in space occupancy, in a 3D voxel-based urban model

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Franz, Marcel, Barbara Schmidt, Holger Hecht, Ewald Naumann, and Wolfgang H. R. Miltner. "Suggested visual blockade during hypnosis: Top-down modulation of stimulus processing in a visual oddball task." PLOS ONE 16, no. 9 (2021): e0257380. http://dx.doi.org/10.1371/journal.pone.0257380.

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Several theories of hypnosis assume that responses to hypnotic suggestions are implemented through top-down modulations via a frontoparietal network that is involved in monitoring and cognitive control. The current study addressed this issue re-analyzing previously published event-related-potentials (ERP) (N1, P2, and P3b amplitudes) and combined it with source reconstruction and connectivity analysis methods. ERP data were obtained from participants engaged in a visual oddball paradigm composed of target, standard, and distractor stimuli during a hypnosis (HYP) and a control (CON) condition.

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Wu, Fuxiang, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, and Jun Cheng. "Reject Decoding via Language-Vision Models for Text-to-Image Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (2023): 2785–94. http://dx.doi.org/10.1609/aaai.v37i3.25379.

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Transformer-based text-to-image synthesis generates images from abstractive textual conditions and achieves prompt results. Since transformer-based models predict visual tokens step by step in testing, where the early error is hard to be corrected and would be propagated. To alleviate this issue, the common practice is drawing multi-paths from the transformer-based models and re-ranking the multi-images decoded from multi-paths to find the best one and filter out others. Therefore, the computing procedure of excluding images may be inefficient. To improve the effectiveness and efficiency of de

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An, Xiaoyu, Zijie Meng, Yanfeng Wang, and Junwei Sun. "Proportional-Integral-Derivative Control of Four-Variable Chaotic Oscillatory Circuit Based on DNA Strand Displacement." Journal of Nanoelectronics and Optoelectronics 16, no. 4 (2021): 612–23. http://dx.doi.org/10.1166/jno.2021.2994.

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DNA molecular computing based on DNA strand displacement (DSD) technology is a potential computing model. Different functions can be realized by constructing DNA strand displacement analog circuit and analyzing its dynamic characteristics. In this paper, exploiting chemical reaction networks (CRNs) as the middle layer, a new chaotic oscillation circuit is constructed via DNA strand displacement and controlled by PID controller. The design of four-variable chaotic oscillatory circuit requires the combination and cascade by five DNA reaction modules. Based on the theory of stability and design p

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Wang, Honglv, Dingke Shi, Chengting Zhang, Nanzhe Ding, and Chao Cheng. "Digital transformation and visual knowledge map analysis of intelligent factory for sensor information of Internet of Things." Intelligent Decision Technologies 18, no. 4 (2024): 3437–51. https://doi.org/10.3233/idt-240251.

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Industry 4.0 is reshaping conventional factories into “smart factories” via the widespread use of IoT-enabled networks of linked devices, sensors, and software for process optimization and monitoring. Intelligent manufacturing facilities may employ IoT-based predictive maintenance to reduce downtime, increase equipment longevity, and avoid machine problems. Manufacturers may get real-time insights into energy consumption patterns, which is a major concern in the business. The primary objective is to optimize energy use during part manufacturing. Hence, this paper proposes the Internet of Thing

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Yin, Tao, Jingzheng Yao, Yan Lu, and Chunrui Na. "Solid-State-LiDAR-Inertial-Visual Odometry and Mapping via Quadratic Motion Model and Reflectivity Information." Electronics 12, no. 17 (2023): 3633. http://dx.doi.org/10.3390/electronics12173633.

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This paper proposes a solid-state-LiDAR-inertial-visual fusion framework containing two subsystems: the solid-state-LiDAR-inertial odometry (SSLIO) subsystem and the visual-inertial odometry (VIO) subsystem. Our SSLIO subsystem has two novelties that enable it to handle drastic acceleration and angular velocity changes: (1) the quadratic motion model is adopted in the in-frame motion compensation step of the LiDAR feature points, and (2) the system has a weight function for each residual term to ensure consistency in geometry and reflectivity. The VIO subsystem renders the global map in additi

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Burghardt, Dirk, Wolfgang Nejdl, Jochen Schiewe, and Monika Sester. "Volunteered Geographic Information: Interpretation, Visualisation and Social Computing (VGIscience)." Proceedings of the ICA 1 (May 16, 2018): 1–5. http://dx.doi.org/10.5194/ica-proc-1-15-2018.

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In the past years Volunteered Geographic Information (VGI) has emerged as a novel form of user-generated content, which involves active generation of geo-data for example in citizen science projects or during crisis mapping as well as the passive collection of data via the user’s location-enabled mobile devices. In addition there are more and more sensors available that detect our environment with ever greater detail and dynamics. These data can be used for a variety of applications, not only for the solution of societal tasks such as in environment, health or transport fields, but also for th

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Chen, Jing, Lyuzhou Gao, Hongquan Sun, et al. "Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing." Sensors 25, no. 13 (2025): 4187. https://doi.org/10.3390/s25134187.

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Computing power network (CPN) is designed to utilize multi-dimensional resources to complete computing tasks. However, in practical applications, the CPN architecture has difficulty in coordinating cross-domain heterogeneous resources, making it impossible to achieve the real-time and high scalability requirements of computationally intensive and time-sensitive tasks such as levee piping hazard inspection via remote sensing in emergency scenarios. Based on this, we propose a communication and computation integrated network architecture, referred to as (Com)2INet, that integrates “sensing”, “tr

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Mann, Steve. "Existential Technology: Wearable Computing Is Not the Real Issue!" Leonardo 36, no. 1 (2003): 19–25. http://dx.doi.org/10.1162/002409403321152239.

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The author presents “Existential Technology” as a new category of in(ter)ventions and as a new theoretical framework for understanding privacy and identity. His thesis is twofold: (1) The unprotected individual has lost ground to invasive surveillance technologies and complex global organizations that undermine the humanistic property of the individual; (2) A way for the individual to be free and collegially assertive in such a world is to be “bound to freedom” by an articulably external force. To that end, the author explores empowerment via self-demotion. He has founded a federally incorpora

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Padmanaban, Nitish, Robert Konrad, Tal Stramer, Emily A. Cooper, and Gordon Wetzstein. "Optimizing virtual reality for all users through gaze-contingent and adaptive focus displays." Proceedings of the National Academy of Sciences 114, no. 9 (2017): 2183–88. http://dx.doi.org/10.1073/pnas.1617251114.

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From the desktop to the laptop to the mobile device, personal computing platforms evolve over time. Moving forward, wearable computing is widely expected to be integral to consumer electronics and beyond. The primary interface between a wearable computer and a user is often a near-eye display. However, current generation near-eye displays suffer from multiple limitations: they are unable to provide fully natural visual cues and comfortable viewing experiences for all users. At their core, many of the issues with near-eye displays are caused by limitations in conventional optics. Current displa

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Wang, Chao-Ming, and Yu-Chen Chen. "Design of an Interactive Mind Calligraphy System by Affective Computing and Visualization Techniques for Real-Time Reflections of the Writer’s Emotions." Sensors 20, no. 20 (2020): 5741. http://dx.doi.org/10.3390/s20205741.

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A novel interactive system for calligraphy called mind calligraphy that reflects the writer’s emotions in real time by affective computing and visualization techniques is proposed. Differently from traditional calligraphy, which emphasizes artistic expression, the system is designed to visualize the writer’s mental-state changes during writing using audio-visual tools. The writer’s mental state is measured with a brain wave machine to yield attention and meditation signals, which are classified next into the four types of emotion, namely, focusing, relaxation, calmness, and anxiety. These emot

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Yar, Hikmat, Ali Shariq Imran, Zulfiqar Ahmad Khan, Muhammad Sajjad, and Zenun Kastrati. "Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm." Sensors 21, no. 14 (2021): 4932. http://dx.doi.org/10.3390/s21144932.

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Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even more secure. The need for advancement in smart home technology is necessary due to the scarcity of intelligent home applications that cater to several aspects of the home simultaneously, i.e., automation, security, safety, and reducing energy consumption using less bandwidth, computation, and cost. Our research work provides a solution to these problems by deploying a smart

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Wu, Sihan, and Xue Zhang. "Visualization of Railway Transportation Engineering Management Using BIM Technology under the Application of Internet of Things Edge Computing." Wireless Communications and Mobile Computing 2022 (February 28, 2022): 1–15. http://dx.doi.org/10.1155/2022/4326437.

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In the past, railway line planning usually required engineers to design based on their own experience after a series of field visits, leading to heavy workload and low efficiency. Moreover, operation and maintenance management is more complicated due to an abundance of railway station equipment. Based on the above problems, this paper first puts forward the railway transportation line planning and design method based on Building Information Modeling (BIM) technology. Besides, LocaSpace Viewer realizes the three-dimensional (3D) visual scene modeling of the railway environment to improve the ef

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Saptaputra, Emmanuel Himawan, Arsa Widitiarsa Utoyo, and Nia Karlna. "Gamification Analysis in Ui And Ux for Parking Spot Apps." Journal of Games, Game Art, and Gamification 5, no. 1 (2021): 9–14. http://dx.doi.org/10.21512/jggag.v5i1.7470.

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Advances in personal computing and information technology have been updated and published online or via mobile devices. Consequently, we must consider interaction as a fundamental complement of representation in cartography and visualization. The user interface (UI) / UX (user experience) describes a series of concepts, guidelines and workflows to critically reflect on the design and use of an interactive, map- based or other product. This entry presents the basic concepts of UI / UX design that is important for cartography and visualization, focusing on issues related to visual design. First,

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Angrayni, Cindy, and Erwin Setiawan Panjaitan. "Evaluating User Interfaces in E-Learning Satisfaction Using EUCS Method." Brilliance: Research of Artificial Intelligence 5, no. 1 (2025): 343–54. https://doi.org/10.47709/brilliance.v5i1.6302.

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This study investigates how User Interface elements affect student satisfaction with E?Learning platforms among junior high school, senior high school, and vocational high school students in Medan by adopting the End User Computing Satisfaction model augmented with a dedicated User Interface quality construct. It examines Content, Accuracy, Format, Ease of Use, Timeliness, and overall Interface Perception as predictors of End User Computing Satisfaction. Data were gathered via questionnaires administered to students actively using E?Learning applications across these three school levels in Med

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Ji, Xiao Gang, Zhong Bin Wang, and Ke Niu. "Application of LOD Technology in the 3DVR Remote Control Platform for Shearer." Applied Mechanics and Materials 79 (July 2011): 87–92. http://dx.doi.org/10.4028/www.scientific.net/amm.79.87.

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The scene model is extremely complex in the 3DVR remote control platform for shearer. In order to speed up the 3D scene rendering of 3DVR remote control platform for shearer and reduce computational load of the system, we simplified the scene model based on LOD technology. The LOD algorithm was designed, in which the computing method of simplification rate, the algorithm of Triangle mesh simplification based on contraction and data structure of original mesh was described. Two shearer drums were simulated in the XNA platform via the above method. The simulation experiment results show that LOD

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Utterson, Andrew. "Early Visions of Interactivity: The In(put)s and Out(put)s of Real-Time Computing." Leonardo 46, no. 1 (2013): 67–72. http://dx.doi.org/10.1162/leon_a_00487.

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Analyzing technical and other texts of the late 1960s and early 1970s, this paper explores the early discourses of interactivity—including writings by Charles Csuri, J.C.R. Licklider, Michael Noll, Ivan Sutherland and other notable figures—via the intersecting fields of computing and the arts, with a particular emphasis on the dynamic (in this instance, a disjuncture) between visionary ideas and the technical preconditions necessary for their realization.

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Ali, Zulfiqar, Aiman M. Ayyal Awwad, and Wolfgang Slany. "Using Executable Specification and Regression Testing for Broadcast Mechanism of Visual Programming Language on Smartphones." International Journal of Interactive Mobile Technologies (iJIM) 13, no. 02 (2019): 50. http://dx.doi.org/10.3991/ijim.v13i02.9851.

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<p class="0abstract">The rapid advancement of mobile computing technology and the rising usage of mobile apps made our daily life more productive. The mobile app should operate all the time bug-free in order to improve user satisfaction and offers great business value to the end user. At the same time, smartphones are full of special features that make testing of apps more challenging. Actually, the quality is a must for successful applications and it cannot be achieved without testing and verification. In this paper, we present the Behavior Driven Development (BDD) methodology and Cucum

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He, Yuanyuan. "Virtual Production Software Framework Comparison: A Performance Study of Unreal Engine, Unity, and Proprietary Tools." Journal of Computer Science and Artificial Intelligence 3, no. 1 (2025): 68–70. https://doi.org/10.54097/s34sst90.

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This comparative study evaluates real-time production platforms across three core metrics: visual quality, team collaboration efficiency, and hardware compatibility. Tested through nine professional implementations—including major film productions using LED wall technology—the research highlights distinct strengths among solutions. Epic's Unreal Engine 5.2 delivers superior 4K output (43 fps) when handling intricate 3D models via its Nanite architecture, surpassing Unity's 28 fps in comparable scenarios. Conversely, Unity accelerates mixed reality development cycles, enabling 70% faster cross-

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Pan, Zhibin, Jin Tang, Tardi Tjahjadi, and Fan Guo. "Fast Geo-Location Method Based on Panoramic Skyline in Hilly Area." ISPRS International Journal of Geo-Information 10, no. 8 (2021): 537. http://dx.doi.org/10.3390/ijgi10080537.

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Localization method based on skyline for visual geo-location is an important auxiliary localization method that does not use a satellite positioning system. Due to the computational complexity, existing panoramic skyline localization methods determine a small area using prior knowledge or auxiliary sensors. After correcting the camera orientation using inertial navigation sensors, a fine position is achieved via the skyline. In this paper, a new panoramic skyline localization method is proposed that involves the following. By clustering the sampling points in the location area and improving th

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Zhang, Kunlin, Wei Huang, Xiaoyu Hou, Jihui Xu, Ruidan Su, and Huaiyu Xu. "A Fault Diagnosis and Visualization Method for High-Speed Train Based on Edge and Cloud Collaboration." Applied Sciences 11, no. 3 (2021): 1251. http://dx.doi.org/10.3390/app11031251.

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Safety is the most important aspect of railway transportation. To ensure the safety of high-speed trains, various train components are equipped with sensor devices for real-time monitoring. Sensor monitoring data can be used for fast intelligent diagnosis and accurate positioning of train faults. However, existing train fault diagnosis technology based on cloud computing has disadvantages of long processing times and high consumption of computing resources, which conflict with the real-time response requirements of fault diagnosis. Aiming at the problems of train fault diagnosis in the cloud e

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Hu, Jianming, Xiyang Zhi, Wei Zhang, Longfei Ren, and Lorenzo Bruzzone. "Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images." Remote Sensing 12, no. 20 (2020): 3370. http://dx.doi.org/10.3390/rs12203370.

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Automatic ship detection in complicated maritime background is a challenging task in the field of optical remote sensing image interpretation and analysis. In this paper, we propose a novel and reliable ship detection framework based on a visual saliency model, which can efficiently detect multiple targets of different scales in complex scenes with sea clutter, clouds, wake and islands interferences. Firstly, we present a reliable background prior extraction method adaptive for the random locations of targets by computing boundary probability and then generate a saliency map based on the backg

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Pyasetsky, V. B. "Estimating Perceived Brightness in Low Luminance Conditions." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 1 (130) (February 2020): 33–49. http://dx.doi.org/10.18698/0236-3933-2020-1-33-49.

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Mesopic photometry, which studies visual perception of low-level optical radiation, is of great interest today in lighting engineering. It involves investigating human responses to visual observations in low light conditions in the object space, determining the optimum artificial illumination levels in industrial areas, and solving clinical perimetry problems. The estimation procedure for mesopic photometry recommended by the International Commission on Illumination (CIE) is based on computing a combination of photopic (daylight) and scotopic (nighttime) visual perception levels. This procedur

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Rehman, Amjad, Tanzila Saba, Khalid Haseeb, Teg Alam, and Jaime Lloret. "Sustainability Model for the Internet of Health Things (IoHT) Using Reinforcement Learning with Mobile Edge Secured Services." Sustainability 14, no. 19 (2022): 12185. http://dx.doi.org/10.3390/su141912185.

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In wireless multimedia networks, the Internet of Things (IoT) and visual sensors are used to interpret and exchange vast data in the form of images. The digital images are subsequently delivered to cloud systems via a sink node, where they are interacted with by smart communication systems using physical devices. Visual sensors are becoming a more significant part of digital systems and can help us live in a more intelligent world. However, for IoT-based data analytics, optimizing communications overhead by balancing the usage of energy and bandwidth resources is a new research challenge. Furt

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Yang, Jing, Yang Xiu, Yan Ting Shi, Long Tao Zhao, and Xiao Yan Tan. "Substation Equipment Temperature Monitoring System Based on Heterogeneous Wireless Sensor Network." Applied Mechanics and Materials 511-512 (February 2014): 165–68. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.165.

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According to the records that the too-high temperature rise of equipment leaded to accidents easily, the temperature monitoring system based on ZigBee and GPRS, RS232 technology is designed. The perception layer uses the heterogeneous network topology by adding appropriate heterogeneous nodes to ordinary ones, which are much better than the ordinary in computing power, storage capacity, etc, and this topology structure extends transmission distance. Both of them use CC2530 chips, and the heterogeneous nodes are not only responsible for collecting temperature data, but also responsible for forw

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AKASH, G. "Cloud Resource Optimization System." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03429.

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ABSTRACT - Cloud computing environments encounter considerable challenges in effectively allocating resources due to varying demands from users and applications. As businesses progressively transition workloads to cloud infrastructure, achieving optimal resource utilization becomes essential for maintaining service quality and cost-effectiveness. This paper introduces a Cloud Resource Optimization System, an interactive web application designed to aid users in enhancing cloud resource utilization based on real-time input parameters such as CPU usage, memory usage, disk storage, and task priori

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Wei, Hui, Luping Wang, Shanshan Wang, Yuxiang Jiang, and Jingmeng Li. "A Signal-Processing Neural Model Based on Biological Retina." Electronics 9, no. 1 (2019): 35. http://dx.doi.org/10.3390/electronics9010035.

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Image signal processing has considerable value in artificial intelligence. However, due to the diverse disturbance (e.g., color, noise), the image signal processing, especially the representation of the signal, remains a big challenge. In the human visual system, it has been justified that simple cells in the primary visual cortex are obviously sensitive to vision signals with partial orientation features. In other words, the image signals are extracted and described along the pathway of visual processing. Inspired by this neural mechanism of the primary visual cortex, it is possible to build

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Rodríguez, J. Apolinar Muñoz. "Microsurface Defect Recognition via Microlaser Line Projection and Affine Moment Invariants." Coatings 15, no. 4 (2025): 385. https://doi.org/10.3390/coatings15040385.

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Advanced non-destructive techniques play an important role in detecting surface defects in the context of additive manufacturing, with non-destructive technologies providing surface data for the recognition of surface defects. In this line, it is necessary to implement microscope vision technology for the inspection of surface defects. This study proposes an approach for microsurface defect recognition using affine moment invariants based on microlaser line contouring, allowing for the detection of microscopic holes and scratches. For this purpose, the surface is represented by a Bezier surfac

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Wei, Hui, Qingsong Zuo, and XuDong Guan. "Main Retina Information Processing Pathways Modeling." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 3 (2011): 30–46. http://dx.doi.org/10.4018/ijcini.2011070102.

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In many fields including digital image processing and artificial retina design, they always confront a balance issue among real-time, accuracy, computing load, power consumption, and other factors. It is difficult to achieve an optimal balance among these conflicting requirements. However, human retina can balance these conflicting requirements very well. It can efficiently and economically accomplish almost all the visual tasks. This paper presents a bio-inspired model of the retina, not only to simulate various types of retina cells but also to simulate complex structure of retina. The model

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