Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00198
Mengchun Song, Ting Chen, Zhaoxia Chen, Jiaye Chen, Yaosheng Lu
To study the radiation emission problem of the medical electrical equipment, this paper expounded the principle of radiation emission test and analyzed the common radiation disturbance sources of the medical equipment. Finally, some rectification countermeasures were summarized to switching power supply, crystal oscillator and motor these three common radiation disturbance sources, which provided references for related technical personnel.
{"title":"Rectification Countermeasures and Practices of Radiation Emission for Medical Electrical Equipment","authors":"Mengchun Song, Ting Chen, Zhaoxia Chen, Jiaye Chen, Yaosheng Lu","doi":"10.1109/ICNISC57059.2022.00198","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00198","url":null,"abstract":"To study the radiation emission problem of the medical electrical equipment, this paper expounded the principle of radiation emission test and analyzed the common radiation disturbance sources of the medical equipment. Finally, some rectification countermeasures were summarized to switching power supply, crystal oscillator and motor these three common radiation disturbance sources, which provided references for related technical personnel.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133170390","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00174
Ke Wang
This paper analyzes the problems existing in the teaching scene of modern logistics equipment, and focuses on the significance of constructing the sharing platform of modern logistics equipment course teaching system based on virtual reality technology by introducing VR technology. The advantages of virtual reality technology in modern logistics equipment teaching are summarized. Finally, it is concluded that the application of virtual reality technology in the teaching of modern logistics equipment can effectively improve students' interest in learning and improve the teaching effect of the course.
{"title":"Research on the Application of Virtual Reality Technology in the Teaching of Modern Logistics Equipment Course of modern Logistics Management major in Higher Vocational Colleges","authors":"Ke Wang","doi":"10.1109/ICNISC57059.2022.00174","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00174","url":null,"abstract":"This paper analyzes the problems existing in the teaching scene of modern logistics equipment, and focuses on the significance of constructing the sharing platform of modern logistics equipment course teaching system based on virtual reality technology by introducing VR technology. The advantages of virtual reality technology in modern logistics equipment teaching are summarized. Finally, it is concluded that the application of virtual reality technology in the teaching of modern logistics equipment can effectively improve students' interest in learning and improve the teaching effect of the course.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128907951","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00138
Jian Pan, Yujiang Li, Huandong Zhao
In order to improve the fault prediction accuracy of the water pump, a Hilbert-Huang Transform (HHT) is applied to the vibration signals on the horizontal, vertical directions and driving end of the pump, and the marginal spectral energy was taken as feature vectors. Then three BP neural networks are used to make local prediction according to feature vectors of three parts of the pump, and establish the fault type matrix. The output of BP neural network is normalized into the Basic Probability Assignment (BPA) of Dempster-Shafer (D-S) evidence theory propositions. Then the decision-level information fusion of D-S evidence theory is carried out for the three evidence bodies. Aiming at the limitation of D-S evidence theory in dealing with conflicting evidence, an improved fusion method based on Jousselme distance is proposed. This method takes into account the credibility of each evidence body to the recognition of proposition. The simulation test shows that the proposed method can improve the fault prediction accuracy of water pump and has the feasibility of its application in fault prediction of water pump equipment.
{"title":"A Fault Prediction Method for Water Pump Based on BP Neural Network and Improved Dempster-Shafer Theory of Evidence","authors":"Jian Pan, Yujiang Li, Huandong Zhao","doi":"10.1109/ICNISC57059.2022.00138","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00138","url":null,"abstract":"In order to improve the fault prediction accuracy of the water pump, a Hilbert-Huang Transform (HHT) is applied to the vibration signals on the horizontal, vertical directions and driving end of the pump, and the marginal spectral energy was taken as feature vectors. Then three BP neural networks are used to make local prediction according to feature vectors of three parts of the pump, and establish the fault type matrix. The output of BP neural network is normalized into the Basic Probability Assignment (BPA) of Dempster-Shafer (D-S) evidence theory propositions. Then the decision-level information fusion of D-S evidence theory is carried out for the three evidence bodies. Aiming at the limitation of D-S evidence theory in dealing with conflicting evidence, an improved fusion method based on Jousselme distance is proposed. This method takes into account the credibility of each evidence body to the recognition of proposition. The simulation test shows that the proposed method can improve the fault prediction accuracy of water pump and has the feasibility of its application in fault prediction of water pump equipment.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115905834","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00180
Qian Lin
Red memory, the cultural heritage and spiritual wealth generated in the process during which the Chinese Communist Party led the Chinese people to fight for national independence and the prosperity of China, is of great importance. Red tourism, regarded as the theme tourism activity of red culture, is an effective means to carry forward and highlight red culture. However, following the development of science and technology, as well as the accelerated pace of life, there appears the difficulty of decline and decomposition faced by red memory. In the Internet era, the red tourism mode needs to be innovated immediately in the critical period determining whether China Dream can be realized. Having acquired the red data of Shandong Province, this paper further strives to take advantage of the stimulation of red scenic spots to construct red memory by means of Web and GIS technology, strengthen the red memory with the help of information visualization, and adjust the ways to develop red tourism resources, in a bid to make a breakthrough in the traditional development mode.
{"title":"WebGIS-based Tourism Platform Design to Strengthen Red Memory","authors":"Qian Lin","doi":"10.1109/ICNISC57059.2022.00180","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00180","url":null,"abstract":"Red memory, the cultural heritage and spiritual wealth generated in the process during which the Chinese Communist Party led the Chinese people to fight for national independence and the prosperity of China, is of great importance. Red tourism, regarded as the theme tourism activity of red culture, is an effective means to carry forward and highlight red culture. However, following the development of science and technology, as well as the accelerated pace of life, there appears the difficulty of decline and decomposition faced by red memory. In the Internet era, the red tourism mode needs to be innovated immediately in the critical period determining whether China Dream can be realized. Having acquired the red data of Shandong Province, this paper further strives to take advantage of the stimulation of red scenic spots to construct red memory by means of Web and GIS technology, strengthen the red memory with the help of information visualization, and adjust the ways to develop red tourism resources, in a bid to make a breakthrough in the traditional development mode.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114401386","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00183
Xing-gan Zhang, Pengpeng Xia
In the implementation of near-field acoustic holography (NAH), the measured hologram data and reference signal are always contaminated by other noise sources, and NAH reconstruction accuracy is degraded. In the convention NAH, the complex holographic pressure is calculated by cross-spectrum based method, and uncorrelated noise can be suppressed. However, this method is not appropriate for the correlated noises. It's assumed that the measurement noise obeys Gaussian distribution, which can be eliminated effectively by high order statistics, a bispectrum based NAH method was presented in this paper to eliminate the correlated noises. The numerical simulation results show that the influence of Gaussian correlated noise can be suppressed effectively, and the reconstruction accuracy is improved.
{"title":"Elimination of Gaussian Correlated Measurement Noise with Bispectrum in Near-field Acoustic Holography","authors":"Xing-gan Zhang, Pengpeng Xia","doi":"10.1109/ICNISC57059.2022.00183","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00183","url":null,"abstract":"In the implementation of near-field acoustic holography (NAH), the measured hologram data and reference signal are always contaminated by other noise sources, and NAH reconstruction accuracy is degraded. In the convention NAH, the complex holographic pressure is calculated by cross-spectrum based method, and uncorrelated noise can be suppressed. However, this method is not appropriate for the correlated noises. It's assumed that the measurement noise obeys Gaussian distribution, which can be eliminated effectively by high order statistics, a bispectrum based NAH method was presented in this paper to eliminate the correlated noises. The numerical simulation results show that the influence of Gaussian correlated noise can be suppressed effectively, and the reconstruction accuracy is improved.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114430567","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}
Facing the problem of large amount of UAV image data, multiple redundancies and uneven quality, this paper proposes a GPU-based UAV real-time image mosaicing technology. First, the video stream data captured by the UAV is decoded to obtain frame images. Then, for these large number of frames images, pre-processing such as cache frame extraction and geometric correction is performed to obtain high quality and low redundancy UAV images. Extracting image feature points and matching them by SIFT, SURF, etc., and screening matching points by RANSAC algorithm. Finally, based on the screened matching points, image fusion is performed to obtain the UAV mosaicing image. The overall process is parallel accelerated by GPU, which is more efficient and real-time. The mosaiced images can be tile-cut and stored in chunks to achieve fast sharing and efficient application of image data.
{"title":"GPU-based Real-time Image Mosaicing for UAVs","authors":"Fengxia Tian, Yingbo Zhou, Jialin Cheng, Zhangwei Feng, Jiawei Yu, Guoxiang Ye, Shechuan Duan","doi":"10.1109/ICNISC57059.2022.00039","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00039","url":null,"abstract":"Facing the problem of large amount of UAV image data, multiple redundancies and uneven quality, this paper proposes a GPU-based UAV real-time image mosaicing technology. First, the video stream data captured by the UAV is decoded to obtain frame images. Then, for these large number of frames images, pre-processing such as cache frame extraction and geometric correction is performed to obtain high quality and low redundancy UAV images. Extracting image feature points and matching them by SIFT, SURF, etc., and screening matching points by RANSAC algorithm. Finally, based on the screened matching points, image fusion is performed to obtain the UAV mosaicing image. The overall process is parallel accelerated by GPU, which is more efficient and real-time. The mosaiced images can be tile-cut and stored in chunks to achieve fast sharing and efficient application of image data.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"80 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121921264","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00097
Su-An Yun
Due to the randomness of the initial phase of the vector network analyzer, there will be a large error when the polarization characteristic parameter $mathbf{H}/overline{alpha}$ measured by using it. In this paper, a method of measuring and calibrating the full polarization scattering matrix by using vector network analyzer is proposed to obtain the polarization characteristic parameter $mathbf{H}/overline{alpha}$. Firstly, the measurement system of the full polarization scattering matrix is constructed, and then the polarization scattering matrix is calibrated by the disk, 0°and 22.5°dihedrals. Finally, the error caused by the randomness of the initial phase of the vector network analyzer is eliminated, and the accurate measurement of the polarization characteristic parameter $mathbf{H}/overline{alpha}$ is realized. The results show that the error of the scattering angle $overline{alpha}$ obtained by polarization calibration is less than 3 degrees compared with the theoretical value, which indicates that the polarization characteristic parameter $mathbf{H}/overline{alpha}$ of the target can be accurately obtained by measuring and calibrating the amplitude and phase of the polarization scattering matrix.
{"title":"Research on Eigenvalue Decomposition Algorithm: —Based on Polarization Calibration","authors":"Su-An Yun","doi":"10.1109/ICNISC57059.2022.00097","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00097","url":null,"abstract":"Due to the randomness of the initial phase of the vector network analyzer, there will be a large error when the polarization characteristic parameter $mathbf{H}/overline{alpha}$ measured by using it. In this paper, a method of measuring and calibrating the full polarization scattering matrix by using vector network analyzer is proposed to obtain the polarization characteristic parameter $mathbf{H}/overline{alpha}$. Firstly, the measurement system of the full polarization scattering matrix is constructed, and then the polarization scattering matrix is calibrated by the disk, 0°and 22.5°dihedrals. Finally, the error caused by the randomness of the initial phase of the vector network analyzer is eliminated, and the accurate measurement of the polarization characteristic parameter $mathbf{H}/overline{alpha}$ is realized. The results show that the error of the scattering angle $overline{alpha}$ obtained by polarization calibration is less than 3 degrees compared with the theoretical value, which indicates that the polarization characteristic parameter $mathbf{H}/overline{alpha}$ of the target can be accurately obtained by measuring and calibrating the amplitude and phase of the polarization scattering matrix.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129381783","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 recommender system based on session sequence is mainly used for the recommendation task when the user information is scarce. Usually, the user session is expressed as an ordered sequence of items. However, learning user preferences from ordered sequences is a complex problem in deep learning based recommender system. This paper proposes a novel model, the Global Feature Extraction Graph Neural Network for Session Recommendation (GFE-GNN), which transforms the session sequence from sequential representation to graphical representation. While obtaining the sequence order, the global graph feature extraction is used to obtain the potential sequence of items, so as to learn the complex preferences of users. Finally, the problem of predicting the next item of the session is transformed into a graph classification problem through the aggregation layer. Experimental results on real datasets show that GFE-GNN is superior to the most advanced session recommendation methods.
{"title":"Global Feature Extraction Graph Neural Networks for Session Recommendation","authors":"Yungang Yang, Xing Xing, Shiqi Wang, Jiale Chen, Zhichun Jia","doi":"10.1109/ICNISC57059.2022.00137","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00137","url":null,"abstract":"The recommender system based on session sequence is mainly used for the recommendation task when the user information is scarce. Usually, the user session is expressed as an ordered sequence of items. However, learning user preferences from ordered sequences is a complex problem in deep learning based recommender system. This paper proposes a novel model, the Global Feature Extraction Graph Neural Network for Session Recommendation (GFE-GNN), which transforms the session sequence from sequential representation to graphical representation. While obtaining the sequence order, the global graph feature extraction is used to obtain the potential sequence of items, so as to learn the complex preferences of users. Finally, the problem of predicting the next item of the session is transformed into a graph classification problem through the aggregation layer. Experimental results on real datasets show that GFE-GNN is superior to the most advanced session recommendation methods.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128637589","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00147
Jun Du, Ling Yi, Chao Ma, Hongyu Zhao
With the rapid development of information technology, the number of Internet of things devices is growing rapidly, and the need to ensure its information security is becoming more and more urgent. In this application context, as a lightweight hardware encryption primitive, physical unclonable functions come onto the stage. This paper proposes a software PUF design, OCP-PUF, based on the internal timing difference of the processor. This PUF is based on the difference of the delay path in the processor pipeline, takes a specific instruction group input as a challenge, and response based on the instruction error that occurs after the clock overclocking. This design does not need to configure any additional hardware resources, nor does it need to make any changes to the hardware of the device. So it can be easily deployed on existing devices, which fits the current application background of low power consumption and low resource occupation. In the work of this paper, its principle and incentive response mechanism are described in detail, and its implementation based on RISC-V instruction set architecture on FPGA platform is verified and analyzed. The results verify that its uniqueness and stability are similar to that of traditional PUF, but it reduces resource occupation.
{"title":"Design and Implementation of OCP-PUF Based on FPGA","authors":"Jun Du, Ling Yi, Chao Ma, Hongyu Zhao","doi":"10.1109/ICNISC57059.2022.00147","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00147","url":null,"abstract":"With the rapid development of information technology, the number of Internet of things devices is growing rapidly, and the need to ensure its information security is becoming more and more urgent. In this application context, as a lightweight hardware encryption primitive, physical unclonable functions come onto the stage. This paper proposes a software PUF design, OCP-PUF, based on the internal timing difference of the processor. This PUF is based on the difference of the delay path in the processor pipeline, takes a specific instruction group input as a challenge, and response based on the instruction error that occurs after the clock overclocking. This design does not need to configure any additional hardware resources, nor does it need to make any changes to the hardware of the device. So it can be easily deployed on existing devices, which fits the current application background of low power consumption and low resource occupation. In the work of this paper, its principle and incentive response mechanism are described in detail, and its implementation based on RISC-V instruction set architecture on FPGA platform is verified and analyzed. The results verify that its uniqueness and stability are similar to that of traditional PUF, but it reduces resource occupation.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127133766","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00073
Hongtao Sun, Dongxue Liu, Luoying Huang, Huiyao Pan
Scientific and reasonable evaluation of the outcomes of discipline construction and promotion of the development of disciplines are essential in constructing “Double First-Class” plan universities in China. Evaluating the input-output efficiency of the established disciplines and rationally allocating human, financial, material, and other resources to improve the overall efficiency of discipline construction is urgent to be solved in universities. Based on the input and output data of disciplines in a university, this research uses the Data Envelopment Analysis (DEA) classic model and the super-efficiency model to evaluate the input-output efficiency of each discipline, analyzes the influencing factors for the disciplines in non-optimal state, and provides corresponding suggestions for scientific decision making to improve.
{"title":"Efficiency Evaluation of University Disciplines Based on Data Envelopment Analysis Method","authors":"Hongtao Sun, Dongxue Liu, Luoying Huang, Huiyao Pan","doi":"10.1109/ICNISC57059.2022.00073","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00073","url":null,"abstract":"Scientific and reasonable evaluation of the outcomes of discipline construction and promotion of the development of disciplines are essential in constructing “Double First-Class” plan universities in China. Evaluating the input-output efficiency of the established disciplines and rationally allocating human, financial, material, and other resources to improve the overall efficiency of discipline construction is urgent to be solved in universities. Based on the input and output data of disciplines in a university, this research uses the Data Envelopment Analysis (DEA) classic model and the super-efficiency model to evaluate the input-output efficiency of each discipline, analyzes the influencing factors for the disciplines in non-optimal state, and provides corresponding suggestions for scientific decision making to improve.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127295058","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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