In this paper, a scheme of laser-driven white light illumination based on diffuse reflection is proposed, which can effectively avoid the blue spot phenomenon. The white light with color temperature of 4717 K, lumen of 9.705 lm and color rendering index of 62 can be obtained by using the illumination module with 0.05 W blue laser excitation, which is consistent with the theoretical calculation results. We propose two methods to improve the white light uniformity, namely hook face and concentration gradient.
{"title":"Laser-driven white illumination system based on diffuse reflection","authors":"Q. Luo, Baolin Liu, Xiaoyan Zhang","doi":"10.1117/12.2653476","DOIUrl":"https://doi.org/10.1117/12.2653476","url":null,"abstract":"In this paper, a scheme of laser-driven white light illumination based on diffuse reflection is proposed, which can effectively avoid the blue spot phenomenon. The white light with color temperature of 4717 K, lumen of 9.705 lm and color rendering index of 62 can be obtained by using the illumination module with 0.05 W blue laser excitation, which is consistent with the theoretical calculation results. We propose two methods to improve the white light uniformity, namely hook face and concentration gradient.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85717748","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 the field of digital signal analysis and processing, discrete spectrum analysis is always an inevitable research topic. Signal period estimation plays an important role in improving the accuracy of spectrum analysis. When we perform truncation analysis on the signal, it is inevitable that the signal will be truncated by non-integral period, resulting in spectrum leakage. In this paper, we study the spectrum leakage law, obtain the leakage law of spectrum leakage attenuating by Gaussian function approximately along the frequency direction, and propose the minimum energy leakage period estimation method based on autocorrelation. The experimental results show that the algorithm is simple and can estimate the period of the signal when the signal-to-noise ratio is -10dB, which has strong anti-noise characteristics.
{"title":"Period estimation of noise-laden signals under non-integer period truncation","authors":"Chunyan Liu, Liangyu Chen, Xin Li, Pinjia Zeng, Jiaojiao Bai, shen Fan","doi":"10.1117/12.2653457","DOIUrl":"https://doi.org/10.1117/12.2653457","url":null,"abstract":"In the field of digital signal analysis and processing, discrete spectrum analysis is always an inevitable research topic. Signal period estimation plays an important role in improving the accuracy of spectrum analysis. When we perform truncation analysis on the signal, it is inevitable that the signal will be truncated by non-integral period, resulting in spectrum leakage. In this paper, we study the spectrum leakage law, obtain the leakage law of spectrum leakage attenuating by Gaussian function approximately along the frequency direction, and propose the minimum energy leakage period estimation method based on autocorrelation. The experimental results show that the algorithm is simple and can estimate the period of the signal when the signal-to-noise ratio is -10dB, which has strong anti-noise characteristics.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86405582","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}
Huamin Wang, Huawei Wang, Yuan-hsin Chen, Zeyin Su
Under the influence of the epidemic, the offline cooperation between college laboratories has decreased, more and more cooperation is going online. Therefore, the research on the integration and sharing of heterogeneously described university resources has become a hot topic. Based on some scientific metadata standard research, this paper proposes metadata standards including university talents, instruments, laboratories by analyzing the metadata standards of existing scientific data. Then, a heterogeneous scientific data integration mapping algorithm is designed.
{"title":"Metadata design and integration algorithm of science and technology resources among colleges","authors":"Huamin Wang, Huawei Wang, Yuan-hsin Chen, Zeyin Su","doi":"10.1117/12.2653475","DOIUrl":"https://doi.org/10.1117/12.2653475","url":null,"abstract":"Under the influence of the epidemic, the offline cooperation between college laboratories has decreased, more and more cooperation is going online. Therefore, the research on the integration and sharing of heterogeneously described university resources has become a hot topic. Based on some scientific metadata standard research, this paper proposes metadata standards including university talents, instruments, laboratories by analyzing the metadata standards of existing scientific data. Then, a heterogeneous scientific data integration mapping algorithm is designed.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86881809","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 effectively solve the problems of insufficient storage capacity, too late to shoot wonderful moments, and limited range of shooting space, a target video intelligent processing system based on Raspberry Pi is proposed. The system runs on the Raspberry Pi, and drives the camera to shoot a wider range of indoor environment video streams through the servo gimbal. For each frame of image in the video stream, image grayscale, filter denoising and histogram, equalization techniques are used for preprocessing. In the target detection and tracking stage, first use the OpenCV machine vision library to call the MobileNet lightweight convolutional neural network and SSD algorithm combined model (MobileNetSSD) for target detection, then it can alculate the relative position of the camera center focus and the target center, and finally drive the camera to track the target object. In terms of video processing, with the help of the results obtained during target detection, the automatic video editing process is completed by discarding the image frame without target object. Experiments show that the system can quickly and accurately track the target object to shoot, and effectively reduce the storage capacity of the video.
{"title":"Target video intelligent processing system based on Raspberry Pi","authors":"Junren Chen, Weiqin Huang, Yijing Guo, Yi Qiu","doi":"10.1117/12.2653678","DOIUrl":"https://doi.org/10.1117/12.2653678","url":null,"abstract":"In order to effectively solve the problems of insufficient storage capacity, too late to shoot wonderful moments, and limited range of shooting space, a target video intelligent processing system based on Raspberry Pi is proposed. The system runs on the Raspberry Pi, and drives the camera to shoot a wider range of indoor environment video streams through the servo gimbal. For each frame of image in the video stream, image grayscale, filter denoising and histogram, equalization techniques are used for preprocessing. In the target detection and tracking stage, first use the OpenCV machine vision library to call the MobileNet lightweight convolutional neural network and SSD algorithm combined model (MobileNetSSD) for target detection, then it can alculate the relative position of the camera center focus and the target center, and finally drive the camera to track the target object. In terms of video processing, with the help of the results obtained during target detection, the automatic video editing process is completed by discarding the image frame without target object. Experiments show that the system can quickly and accurately track the target object to shoot, and effectively reduce the storage capacity of the video.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82662272","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}
Yuqi Li, Xin Pu, Bo Song, Xu Zhang, Yanchao Li, Lili Wang
The virtual reality technology is used to design the virtual reality system about ice and snow tourism to effectively present the viewing content in a sensory way, so that users can experience the snow atmosphere personally. It is the existence of virtual reality technology, multi - perception, interaction and other characteristics that make it popular with many people. In the future, virtual reality technology will be applied to all aspects of life and bring convenience to people's lives. This paper focuses on the research and construction at home and abroad, in order to understand the actual situation of VR, discusses the common problems in China, and proposes the strategy and application prospect of VR and its application in international development.
{"title":"Design of ice snow tourism VR system","authors":"Yuqi Li, Xin Pu, Bo Song, Xu Zhang, Yanchao Li, Lili Wang","doi":"10.1117/12.2653770","DOIUrl":"https://doi.org/10.1117/12.2653770","url":null,"abstract":"The virtual reality technology is used to design the virtual reality system about ice and snow tourism to effectively present the viewing content in a sensory way, so that users can experience the snow atmosphere personally. It is the existence of virtual reality technology, multi - perception, interaction and other characteristics that make it popular with many people. In the future, virtual reality technology will be applied to all aspects of life and bring convenience to people's lives. This paper focuses on the research and construction at home and abroad, in order to understand the actual situation of VR, discusses the common problems in China, and proposes the strategy and application prospect of VR and its application in international development.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82785367","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}
Currently, 3D deep learning based on point cloud data has become a research hotspot in the field of computer vision. However, the high cost of acquiring point cloud data, the tedious process of processing and labeling, and the scarcity of high-quality and suitable datasets have been the prominent problems faced by researchers. In this paper, we propose a method to quickly produce point cloud dataset based on BIM 3D model and computer simulation technology, including the steps of classifying and labeling BIM models, converting 3D object data formats, extracting point clouds using Pytorch3d and Open3d libraries, and improving efficiency through Revit secondary development and Dos batch processing. Finally, we demonstrate the effectiveness of the method by performing semantic segmentation experiments using Pointnet++ network and analyzed the impact of point cloud sampling density, sampling method and 3D model accuracy on the performance of virtual point cloud. As a digital twin of the real world, BIM models are a natural database with rich scenes and all kinds of elements. It is hoped that the method studied in this paper can help researchers to produce datasets applicable to their own research and provide help for the application of 3D deep learning techniques in engineering and other fields.
{"title":"An efficient method for producing deep learning point cloud datasets based on BIM 3D model and computer simulation","authors":"Heng Zhang, Tianyu Wang","doi":"10.1117/12.2653608","DOIUrl":"https://doi.org/10.1117/12.2653608","url":null,"abstract":"Currently, 3D deep learning based on point cloud data has become a research hotspot in the field of computer vision. However, the high cost of acquiring point cloud data, the tedious process of processing and labeling, and the scarcity of high-quality and suitable datasets have been the prominent problems faced by researchers. In this paper, we propose a method to quickly produce point cloud dataset based on BIM 3D model and computer simulation technology, including the steps of classifying and labeling BIM models, converting 3D object data formats, extracting point clouds using Pytorch3d and Open3d libraries, and improving efficiency through Revit secondary development and Dos batch processing. Finally, we demonstrate the effectiveness of the method by performing semantic segmentation experiments using Pointnet++ network and analyzed the impact of point cloud sampling density, sampling method and 3D model accuracy on the performance of virtual point cloud. As a digital twin of the real world, BIM models are a natural database with rich scenes and all kinds of elements. It is hoped that the method studied in this paper can help researchers to produce datasets applicable to their own research and provide help for the application of 3D deep learning techniques in engineering and other fields.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83625373","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}
ZigBee network communication in the LAN is susceptible to interference from WiFi, Bluetooth, adjacent network obstacles, and other factors. ZigBee network itself cannot identify the type of interference, resulting in network reliability decline, and in severe cases, it will cause network paralysis. In response to this problem, this paper proposes a ZigBee network channel interference type identification method based on BP neural network, which accurately identifies the interference type by constructing neural networks in the ZigBee chip. If the decision output is WIFI or adjacent network interference on the same frequency, the ZigBee network communication channel is configured through the MAC layer of the ZigBee protocol stack to avoid interference. If the decision output is obstacle interference, the physical network can be reconstructed to avoid obstacles. Through simulation verification, the ZigBee network channel interference type identification method can significantly improve ZigBee network communication quality and anti-interference performance, which has application value.
{"title":"A ZigBee network channel interference type identification method based on BP neural network","authors":"Li Zhu, Minghu Zha, Yunyun Zhu, Jianjun Tan","doi":"10.1117/12.2653614","DOIUrl":"https://doi.org/10.1117/12.2653614","url":null,"abstract":"ZigBee network communication in the LAN is susceptible to interference from WiFi, Bluetooth, adjacent network obstacles, and other factors. ZigBee network itself cannot identify the type of interference, resulting in network reliability decline, and in severe cases, it will cause network paralysis. In response to this problem, this paper proposes a ZigBee network channel interference type identification method based on BP neural network, which accurately identifies the interference type by constructing neural networks in the ZigBee chip. If the decision output is WIFI or adjacent network interference on the same frequency, the ZigBee network communication channel is configured through the MAC layer of the ZigBee protocol stack to avoid interference. If the decision output is obstacle interference, the physical network can be reconstructed to avoid obstacles. Through simulation verification, the ZigBee network channel interference type identification method can significantly improve ZigBee network communication quality and anti-interference performance, which has application value.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76946887","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}
Traditional 3D printing usually uses professional software such as SolidWorks and Maya for modeling. However, applying the software mentioned above to customize 3D food printing patterns has the problems of a solid professional operation and high skill requirements. In response to this problem, a pattern drawing software applied to 3D food printing equipment was designed. The software uses image processing technology and C# programming language, based on Windows operating system and. NET Framework, combined with SQLite database technology to achieve product pattern drawing and model export functions. Among them, the automatic extraction of the enclosed area realized by the flood filling algorithm is the core function of product pattern drawing; the automatic acquisition of the contour of the connected graph recognized by the canny edge detection algorithm is the crucial step of the model derivation. The test results show that the software can quickly implement template import, pattern drawing, model export, and other operations, which improves the efficiency and ease of operation of pattern drawing in 3D food printing; The model file exported by the software can be directly used in the layered printing process of a 3D printer, which provides a direction for promoting the application of 3D printing technology in the food industry.
{"title":"Design of pattern drawing software for 3D food printing equipment","authors":"Yi-Juan Ji, Yi-Jing Guo, Fengqiang Guo, Xiaoping You, Zhe-Hao Liu, Qimiao Zheng","doi":"10.1117/12.2654061","DOIUrl":"https://doi.org/10.1117/12.2654061","url":null,"abstract":"Traditional 3D printing usually uses professional software such as SolidWorks and Maya for modeling. However, applying the software mentioned above to customize 3D food printing patterns has the problems of a solid professional operation and high skill requirements. In response to this problem, a pattern drawing software applied to 3D food printing equipment was designed. The software uses image processing technology and C# programming language, based on Windows operating system and. NET Framework, combined with SQLite database technology to achieve product pattern drawing and model export functions. Among them, the automatic extraction of the enclosed area realized by the flood filling algorithm is the core function of product pattern drawing; the automatic acquisition of the contour of the connected graph recognized by the canny edge detection algorithm is the crucial step of the model derivation. The test results show that the software can quickly implement template import, pattern drawing, model export, and other operations, which improves the efficiency and ease of operation of pattern drawing in 3D food printing; The model file exported by the software can be directly used in the layered printing process of a 3D printer, which provides a direction for promoting the application of 3D printing technology in the food industry.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74495197","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 the era of big data, it is of great practical significance to improve the service quality of primary and secondary school libraries through digitization. On the basis of sufficient survey, an analytic hierarchy process (AHP) model is proposed to evaluate the service quality of primary and secondary school libraries. According to the proposed model, a library service evaluation index system for primary and secondary school libraries is constructed, including 6 first-level indicators, 16 second-level indicators and 28 third-level indicators. The proposed index system can comprehensively and objectively evaluate the service and management of primary and secondary school libraries, and has good application value.
{"title":"An analytic hierarchy process model for primary and secondary school libraries","authors":"W. Yang, Changyan Tang","doi":"10.1117/12.2653556","DOIUrl":"https://doi.org/10.1117/12.2653556","url":null,"abstract":"In the era of big data, it is of great practical significance to improve the service quality of primary and secondary school libraries through digitization. On the basis of sufficient survey, an analytic hierarchy process (AHP) model is proposed to evaluate the service quality of primary and secondary school libraries. According to the proposed model, a library service evaluation index system for primary and secondary school libraries is constructed, including 6 first-level indicators, 16 second-level indicators and 28 third-level indicators. The proposed index system can comprehensively and objectively evaluate the service and management of primary and secondary school libraries, and has good application value.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75181423","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 view of the single control mode of traditional household appliances, which can't meet people's diversified needs of household appliances control, this paper designs a set of household appliances control system based on multiple modes. The system consists of three parts, including mobile app, host and slave. The master-slave control mode is designed with single-chip microcomputer as the control chip. The host receives the control command from the mobile app and sends it to the slave through the wireless module. After receiving the control command, the slave controls the household appliances through the relay module. Users can control household appliances in a variety of ways, such as button control, voice control and mobile phone control. After testing, the system is stable and reliable. It can meet people's demand for intelligent control of household appliances.
{"title":"Various controls of household appliances system","authors":"B. Chen","doi":"10.1117/12.2653805","DOIUrl":"https://doi.org/10.1117/12.2653805","url":null,"abstract":"In view of the single control mode of traditional household appliances, which can't meet people's diversified needs of household appliances control, this paper designs a set of household appliances control system based on multiple modes. The system consists of three parts, including mobile app, host and slave. The master-slave control mode is designed with single-chip microcomputer as the control chip. The host receives the control command from the mobile app and sends it to the slave through the wireless module. After receiving the control command, the slave controls the household appliances through the relay module. Users can control household appliances in a variety of ways, such as button control, voice control and mobile phone control. After testing, the system is stable and reliable. It can meet people's demand for intelligent control of household appliances.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81621356","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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