International Journal of Mobile Computing and Multimedia Communications最新文献

{"title":"Computer Hardware and Communication Network Technology in Internet of Things","authors":"Ahthasha Khan","doi":"10.38007/ijmc.2022.030401","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030401","url":null,"abstract":": With the rapid development and improvement of optical fibres, mobile communications, sensors and other technologies, the \"Internet of Things\" has been proposed. With the rapid advances in communication technologies and integrated circuits, the \"Internet of Things\" has also evolved rapidly over the past decade. With the advancement of IoT devices and communication network technologies, the design of IoT gateway platforms and sensor networks is becoming increasingly important. Although much research on IoT technologies in computing and communication networks exists, detailed system induction is lacking. This paper addresses the current development of sensor networks and IoT, IoT architecture, the relationship between sensor networks and IoT, and the implementation of sensor networks in IoT. In line with the IoT architecture and the role of home gateways, a market study and demand analysis of home gateways has been conducted to establish the deployment environment for home gateways and the deployment environment for sensor network nodes. In this paper, we propose the addition of a gateway data aggregation module to perform real-time data aggregation processing for sensor network data packet data processing. Aggregation processing can increase the payload in information transmission, reduce the number of times the sensor nodes send data in the home gateway, and effectively improve the network transmission efficiency and network throughput. Based on the software and hardware platforms of the built-in IoT home gateway and the software and hardware platforms of the sensor network, this paper gives a demand analysis of the home gateway sensor network access module, and proposes that the serial network is used to access the sensor network convergence node to implement the home gateway Development plan of sensor network access module. According to the needs analysis, design the flow chart of the access module and determine the communication interface between the access module and other modules, and complete the outline design of the access module. By simulating the data aggregation module of the home gateway and simulating the aggregation queue length threshold in the aggregation algorithm, the optimal aggregation queue length is obtained. The results show that the aggregation module reduces the number of calls of the home gateway data sending module by 40% and improves the home gateway network transmission efficiency.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78409852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seismic Signal Adaptive Endpoint Detection Based on Human-Computer Interaction","authors":"Yue Wang","doi":"10.38007/ijmc.2022.030405","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030405","url":null,"abstract":": With the development of artificial intelligence technology, robot technology has become more mature, and human-computer interaction technology has become more widely used. China is a country with frequent earthquakes. The application of robot technology to seismic signal detection is of great significance to solve various problems in earthquake disasters. The research purpose of this paper is to study adaptive endpoint detection of seismic signals based on human-computer interaction technology. Based on the analysis of adaptive noise reduction of signal autocorrelation function, this paper references the concept of autocorrelation similarity distance, and proposes human-machine interaction technology Seismic signal adaptive endpoint detection, discusses the description of noise and noisy signals based on autocorrelation similarity distance, and summarizes the adaptive endpoint detection method of seismic signals based on human-computer interaction technology, and gives the specific implementation of the algorithm Compared with the experimental detection results obtained by this method and the time-domain waveform envelope and the method of manually detecting the time-table seismic signal endpoint detection, the research results in this paper show that the accuracy of this algorithm is as high as 96.11%, Under the condition of noise ratio, the end position of the seismic signal can still be detected more accurately by using this algorithm.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79708884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biosensors in Testing Children's Food Quality and Quality Safety","authors":"Mallik Alassery","doi":"10.38007/ijmc.2022.030303","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030303","url":null,"abstract":": In recent years, children's food safety has many problems, and it is particularly important to detect food quality and quality and safety in a timely and efficient manner. At present, the application of biosensors for food safety testing is becoming more and more extensive. Label-free, real-time, and highly sensitive bioassays are currently important technologies in the analysis of biology. In this paper, the optical waveguide lightmode spectroscopy (OWLS) biosensor is used to propose a biosensing detection method based on MEMS micromirror, and the concentration of glucose solution is directly detected by this method. Through the calculation and simulation, the relationship between the thickness of the waveguide film and the sensitivity is obtained. The refractive index sensitivity is proportional to the inverse ratio of the effective refractive index, and an extreme value appears during the period. The glucose solution was detected in TE mode and TM mode. The experimental results show that the solution concentration has a good linear relationship with the incident angle, and the sensitivity can reach 5 ng/m L, which is more sensitive than the traditional immunological detection method. The dynamic characteristics of the MEMS micromirrors were tested and analyzed. The method has the advantages of small volume, simple structure and no labeling, and can realize in-situ detection and avoid damage to protein activity. It is a protein-free optical detection method with great potential.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73258257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Image Processing Technology in Emission of Intelligent Traffic Diesel Vehicle","authors":"Fawan Almulihi","doi":"10.38007/ijmc.2022.030304","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030304","url":null,"abstract":": Traditional smoke measurement methods for diesel vehicles mainly include Lingman blackness telescope and smoke meter. The Lingman Blackness Telescope uses a binocular prism telescope system. On the telescope partition board, a gray scale step block with corresponding Lingman smoke concentration of 1-5 level is made, and the transparent part is O level. The observer compares the smoke target with the gray gradient block through the left eyepiece of the telescope to determine the standard grade of smoke blackness. Smoke is divided into sampling part and measuring part. In the sampling part, the sampling cylinder extracts a certain volume of smoke from the exhaust pipe so that it passes through a certain area of white filter paper, so the particulate matter in the exhaust gas adheres to the filter paper and makes the filter paper black. Then, the smoke traces on the filter paper are measured by photoelectric detection device to evaluate the exhaust smoke of diesel engine. The above method can measure the smoke level of diesel vehicle exhaust to a certain extent, but it has great application limitations in practice, or cannot be applied in practice. For example, (I) Although the level of diesel vehicle exhaust smoke can be measured with the Lingman blackness telescope, it cannot record the level of diesel vehicle exhaust smoke and the relevant information of the vehicle; (2) The Lingman blackness telescope must be measured manually. It is time-consuming and laborious, and it is impossible for traffic police to observe every vehicle 24 hours with Lingman blackness telescope; (3) Smokemeter can only measure static diesel vehicles, but cannot measure driving vehicles. In view of the above problems, this paper introduces digital image processing technology, through the analysis of digital image of diesel vehicle exhaust, realizes the dynamic detection of diesel vehicle exhaust.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81803269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent Agricultural Greenhouse Monitoring System Based on Cloud Computing","authors":"Asian Ullaha","doi":"10.38007/ijmc.2022.030305","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030305","url":null,"abstract":": In view of the increasing material needs of the people and the lack of resources, agricultural greenhouses can efficiently provide a variety of crop products to meet the needs of contemporary society. This research mainly discusses the research of intelligent agricultural greenhouse monitoring system based on cloud computing. This system adopts the B/S structure, combined with the multi-core technology of modern browsers, the universal browser can realize the various needs of customers for the system, which greatly saves the cost of the project. DTH11 temperature and humidity sensor detects data from the temperature and humidity sensor drive module, collects temperature and humidity data for it through the bus, and outputs the collected temperature and humidity data in parallel. The cloud platform database uses the lower computer temperature and humidity sensor module to automatically monitor the temperature and humidity dynamic values of the agricultural greenhouse, and display it on the 12864 LCD panel in the greenhouse in real time; the data information displayed on the data screen in the greenhouse is transmitted to the LABVIEW host computer display interface ; For the air and soil temperature and humidity in the greenhouse, the cloud platform database management program can record correspondingly according to the day; the management program can query the ambient temperature and humidity information according to the day or month; the management program can set the warning temperature and prompt the greenhouse in time differences in the external environment; the management program can generate reports, output the reports in accordance with the relevant requirements of greenhouse management, and print the temperature record curve and data. The error is analyzed based on the test results of the upper computer interface of the PC cloud platform. The difference between the tested soil temperature and the actual temperature is about 1 degree, and the error of the light intensity value is about 3%. This research provides a reliable solution for the artificial cultivation of crops with large environmental gaps.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85824605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wearable Robot Sensor Signal Prediction Algorithm Analysis and Study based on Particle Filtering","authors":"Yanli Zhang","doi":"10.38007/ijmc.2022.030302","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030302","url":null,"abstract":": In this paper, a simple platform for exoskeleton booster is designed and built. The sensing device uses static torque sensor for real-time signal acquisition and feedback. In order to remove signal impurities, this paper designs simple and effective impurity filtering circuits and algorithms. The filtered sensor signal was analyzed by unit root test to determine its stability, and the initial model was determined by ACF and PACF order method. According to the characteristics of the sensor signals of this system, the MWDAR model is verified by the model order and the short-term sliding window size. Using the existing MWDAR model, the prediction value is low. Because of the low prediction accuracy, this paper proposes to introduce particle filter algorithm to optimize, and design a new sensor signal time series prediction algorithm, and simulate it through MATLAB software. Verify the effectiveness of the designed algorithm. Due to the characteristics of the force sensor, the dynamic response frequency is significantly lower than the human neural response frequency. At the same time, after the particle optimization algorithm is used, the calculation amount is increased, which makes the prediction delay. In response to these problems, this paper uses frequency doubling technology, which can double the dynamic response frequency of the booster sensing system, thus providing a basis for accurate, real-time signal prediction.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77168647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Production Planning and Scheduling Assembly Simulation Based on VR Technology","authors":"Zhichang Liu, Chengbao Zhong","doi":"10.38007/ijmc.2022.030301","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030301","url":null,"abstract":": The operating mode of the traditional manufacturing industry is \"design-manufacture-test-operate\". With the development of virtual reality technology and 3D modeling technology, 3D modeling software can be used to build 1:1 models before traditional assembly operations. Combine VR technology to simulate the assembly process of physical objects. By applying collision detection technology to predict the feasibility of the assembly path in the virtual assembly process, experts can exchange professional knowledge more immersively and intuitively in the virtual environment, and predict design defects. This has become a hot spot for enterprises and research institutes. Based on this, this paper studies the ship block assembly simulation based on VR technology. This article uses modeling software to construct the 3D model required for assembly simulation, and imports the model into the virtual reality development software to build a virtual manufacturing scene; then the digital prototype ship model constructed by professional ship design software is delivered in segments The details are optimized in the 3D modeling software to turn it into a realistic simulation model and imported into the virtual reality development software. This paper establishes the model of work shift formation and assignment model of work shift group. Then, the genetic algorithm that is often used to solve the problem of shop scheduling is improved, and a solution method based on the adaptive simulated annealing genetic algorithm is proposed for the fixed object pipeline model. In this paper, the Petri net model is used to study the problem of the scheduling machine failure of the hybrid flow shop, and the Petri net-based simulation model is established by using the dynamic simulation characteristics of the Petri net. Experimental research shows that the maximum completion","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78468095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling Kansei Index for Images and Impression Estimation Using Fine Tuning","authors":"Yukiya Taki, K. Kato, Kazunori Terada, Kensuke Tobitani","doi":"10.1145/3512730.3533717","DOIUrl":"https://doi.org/10.1145/3512730.3533717","url":null,"abstract":"In this study, we propose an effective method for estimating image impressions that is based on a Kansei (affective) index and then show how a deep learning model can be used to evaluate the suitability of images based on that Kansei index. To accomplish this, we exhaustively collected words and phrases that express image impressions using the evaluation grid method and then conducted an evaluation experiment for those collected words using Yahoo! Cloud Sourcing. Next, factor analysis was performed on the collected evaluation data, and the obtained factor scores were used as the Kansei index. Finally, we used ResNet18 trained with ImageNet to fine-tune each image's factor scores for use as supervised data and confirmed that our deep learning model could infer an effective Kansei index that correlates strongly with the target images.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84001272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EMVGAN: Emotion-Aware Music-Video Common Representation Learning via Generative Adversarial Networks","authors":"Yu-Chih Tsai, Tse-Yu Pan, Ting-Yang Kao, Yi-Hsuan Yang, Min-Chun Hu","doi":"10.1145/3512730.3533718","DOIUrl":"https://doi.org/10.1145/3512730.3533718","url":null,"abstract":"Music can enhance our emotional reactions to videos and images, while videos and images can enrich our emotional response to music. Cross-modality retrieval technology can be used to recommend appropriate music for a given video and vice versa. However, the heterogeneity gap caused by the inconsistent distribution between different data modalities complicates learning the common representation space from different modalities. Accordingly, we propose an emotion-aware music-video cross-modal generative adversarial network (EMVGAN) model to build an affective common embedding space to bridge the heterogeneity gap among different data modalities. The evaluation results revealed that the proposed EMVGAN model can learn affective common representations with convincing performance while outperforming other existing models. Furthermore, the satisfactory performance of the proposed network encouraged us to undertake the music-video bidirectional retrieval task.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90804413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SiSP: Japanese Situation-dependent Sentiment Polarity Dictionary","authors":"A. Takada, Yoshinobu Kano, T. Yamasaki","doi":"10.1145/3512730.3533716","DOIUrl":"https://doi.org/10.1145/3512730.3533716","url":null,"abstract":"In order to deal with the variety of meanings and contexts of words, we created a Japanese Situation-dependent Sentiment Polarity Dictionary (SiSP) of sentiment values labeled for 20 different situations. This dictionary was annotated by crowdworkers with 25,520 Japanese words, and consists of 10 responses for each situation of each word. Using our SiSP, we predicted the polarity of each word in the dictionary and that of dictionary words in sentences considering the context. In both experiments, situation-dependent prediction showed superior results in determining emotional polarity.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85182998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}