Pub Date : 2022-09-25DOI: 10.38007/ijmc.2022.030305
Asian Ullaha
: 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.
{"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":"40 1","pages":""},"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}
Pub Date : 2022-09-25DOI: 10.38007/ijmc.2022.030302
Yanli Zhang
: 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.
{"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":"24 1","pages":""},"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}
Pub Date : 2022-09-25DOI: 10.38007/ijmc.2022.030301
Zhichang Liu, Chengbao Zhong
: 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
{"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":"21 1","pages":""},"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}
Yukiya Taki, K. Kato, Kazunori Terada, Kensuke Tobitani
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.
{"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":"94 1","pages":""},"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}
Yu-Chih Tsai, Tse-Yu Pan, Ting-Yang Kao, Yi-Hsuan Yang, Min-Chun Hu
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.
{"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":"18 1","pages":""},"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}
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.
{"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":"60 1","pages":""},"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}
The ability to imagine what a visual scenery looks like from other viewer's perspective is termed "second order visual perspective taking" and is considered to be linked with such functions as empathy and mentalizing. A few recent studies indicated the possibility that empathic response towards others is modulated by their physical attractiveness. On the basis of this, it was conjectured that visual perspective taking is also under the influences of viewer's attractiveness. The present study investigated this hypothesis by examining the effects of viewer's facial attractiveness on neural activation during visual perspective taking. The main focus of interest was the effect of facial attractiveness on late frontal slow wave (LFSW), an event-related potential component that has hitherto been shown to reflect the process of other's mental state representation. The results revealed larger LFSW when taking visual perspective of unattractive than attractive viewers. Together with some of the existing literature, the present finding indicates that people have stronger motivation to see things from unattractive other's perspective than attractive one.
{"title":"Unattractive Face Amplifies Late Frontal Slow Wave during Visual Perspective Taking","authors":"H. Doi","doi":"10.1145/3512730.3533719","DOIUrl":"https://doi.org/10.1145/3512730.3533719","url":null,"abstract":"The ability to imagine what a visual scenery looks like from other viewer's perspective is termed \"second order visual perspective taking\" and is considered to be linked with such functions as empathy and mentalizing. A few recent studies indicated the possibility that empathic response towards others is modulated by their physical attractiveness. On the basis of this, it was conjectured that visual perspective taking is also under the influences of viewer's attractiveness. The present study investigated this hypothesis by examining the effects of viewer's facial attractiveness on neural activation during visual perspective taking. The main focus of interest was the effect of facial attractiveness on late frontal slow wave (LFSW), an event-related potential component that has hitherto been shown to reflect the process of other's mental state representation. The results revealed larger LFSW when taking visual perspective of unattractive than attractive viewers. Together with some of the existing literature, the present finding indicates that people have stronger motivation to see things from unattractive other's perspective than attractive one.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":"29 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88949706","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}
Pub Date : 2022-05-31DOI: 10.38007/ijmc.2022.030203
D. Bui
With the continuous development of computer navigation aided technology, this technology has been successfully applied in the medical field in recent years. Computer navigation has experienced the development from low-level to high-level from the initial use of personal computer architecture to the computer platform specially designed for it. Therefore, there are more and more discussions about it at home and abroad. This paper briefly introduces the practical needs of computer-aided navigation, systematically summarizes and summarizes the effective ingredients of Astragalus membranaceus and its mechanism of action, so as to provide a more detailed theoretical basis for the treatment of tumors by Astragalus membranaceus, and further expand the clinical application of Astragalus membranaceus in the treatment of tumors. And the realization of computer-aided animation generation technology for anti-cancer of active ingredients of Astragalus membranaceus.
{"title":"Animation Generation of Anti-Tumor Action Mechanism of Active Components of Astragalus Membranaceus with Computer Navigation","authors":"D. Bui","doi":"10.38007/ijmc.2022.030203","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030203","url":null,"abstract":"With the continuous development of computer navigation aided technology, this technology has been successfully applied in the medical field in recent years. Computer navigation has experienced the development from low-level to high-level from the initial use of personal computer architecture to the computer platform specially designed for it. Therefore, there are more and more discussions about it at home and abroad. This paper briefly introduces the practical needs of computer-aided navigation, systematically summarizes and summarizes the effective ingredients of Astragalus membranaceus and its mechanism of action, so as to provide a more detailed theoretical basis for the treatment of tumors by Astragalus membranaceus, and further expand the clinical application of Astragalus membranaceus in the treatment of tumors. And the realization of computer-aided animation generation technology for anti-cancer of active ingredients of Astragalus membranaceus.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":"11 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85987332","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}
Pub Date : 2022-05-31DOI: 10.38007/ijmc.2022.030202
{"title":"Big Data in the Translation of Terminology for Foreign-Related Public Crisis Events","authors":"","doi":"10.38007/ijmc.2022.030202","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030202","url":null,"abstract":"","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":"25 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74108815","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}
Pub Date : 2022-05-31DOI: 10.38007/ijmc.2022.030201
Dan Li
Brand communication is the core strategy of an enterprise and an important means beyond marketing, it informs consumers of brand information through various effective channels. With the continuous development and innovation of Internet technology, the way of news communication and brand communication is constantly changing, and the main change is its communication mode. Nowadays, with the development of big data technology, news communication and brand communication have gradually changed from newspapers and TV to Internet communication. The purpose of this paper is to study the innovation of news communication and brand communication under big data technology, analyze the current situation of news communication and brand communication, and analyze the reasons for this result. In this paper, literature analysis is used to investigate the influence of news communication and brand communication under big data technology, and innovative methods of news communication and brand communication under big data technology are put forward, finally, the present situation and prospect of innovation of news communication and brand communication under big data technology are analyzed. From the experimental results, it is concluded that the proportion of Internet technology in news communication and brand communication will reach more than 90%.
{"title":"Innovation of News Communication and Brand Communication under Big Data","authors":"Dan Li","doi":"10.38007/ijmc.2022.030201","DOIUrl":"https://doi.org/10.38007/ijmc.2022.030201","url":null,"abstract":"Brand communication is the core strategy of an enterprise and an important means beyond marketing, it informs consumers of brand information through various effective channels. With the continuous development and innovation of Internet technology, the way of news communication and brand communication is constantly changing, and the main change is its communication mode. Nowadays, with the development of big data technology, news communication and brand communication have gradually changed from newspapers and TV to Internet communication. The purpose of this paper is to study the innovation of news communication and brand communication under big data technology, analyze the current situation of news communication and brand communication, and analyze the reasons for this result. In this paper, literature analysis is used to investigate the influence of news communication and brand communication under big data technology, and innovative methods of news communication and brand communication under big data technology are put forward, finally, the present situation and prospect of innovation of news communication and brand communication under big data technology are analyzed. From the experimental results, it is concluded that the proportion of Internet technology in news communication and brand communication will reach more than 90%.","PeriodicalId":43265,"journal":{"name":"International Journal of Mobile Computing and Multimedia Communications","volume":"56 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83906094","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}
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