Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048666
Yongliang Jia, Peng Tao, Chao Zhang, Bingyu Zhang, Xinghan Pan
Aiming at the pilot pollution problem in large-scale MIMO system, a grouped pilot multiplexing strategy is proposed, which redistributes the pilot sequence. Users are divided into central user group and edge user group according to the severity of user interference in the cell, and the edge user is assigned a completely orthogonal pilot sequence; To solve the security problem of signal transmission in Massive MIMO systems, an iterative encryption algorithm based on pilot is presented. An iterative encryption module is added to the modulation part before the pilot signal is sent. The simulation results show that the proposed method can effectively suppress pilot pollution, suppress attacker stealing information, and improve system performance and security.
{"title":"Research on Packet Pilot Multiplexing and Encryption Strategy in 5G Mimo System","authors":"Yongliang Jia, Peng Tao, Chao Zhang, Bingyu Zhang, Xinghan Pan","doi":"10.1109/ICECE56287.2022.10048666","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048666","url":null,"abstract":"Aiming at the pilot pollution problem in large-scale MIMO system, a grouped pilot multiplexing strategy is proposed, which redistributes the pilot sequence. Users are divided into central user group and edge user group according to the severity of user interference in the cell, and the edge user is assigned a completely orthogonal pilot sequence; To solve the security problem of signal transmission in Massive MIMO systems, an iterative encryption algorithm based on pilot is presented. An iterative encryption module is added to the modulation part before the pilot signal is sent. The simulation results show that the proposed method can effectively suppress pilot pollution, suppress attacker stealing information, and improve system performance and security.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114953233","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}
A low total harmonic distortion (THD) programmable gain amplifier (PGA) with dual operational amplifiers (op-amps) for electrocardiogram (ECG) signal acquisition applications is presented. The proposed op-amp comprises the rail-to-rail input stage and class-AB output stage. To solve the transcon-ductance (gm) variation caused by the supply voltage changes in rail-to-rail amplifiers with the traditional DC level-shifting technique, a common-mode-detection-based transconductance linearization scheme is proposed in this paper, associated with a 7-steps resistor-feedback digital gain control from 1 V/V to 12 V/V, which can realize less than 2.7% transconductance variations. The proposed rail-to-rail class-AB PGA is implemented in 0.18-µm CMOS technology with 2.7-V∼5-V power supply voltage. Spice simulation results show that the THD is -110 dB with an input signal of 5 mVpp and the input-referred noise spectrum density is $mu {mathbf{V}}/sqrt {Hz}$ at a 10-Hz frequency point, after adopting an 8-kHz chopping. The total DC current including the bias circuit is 30µA at 5 V.
提出了一种低总谐波失真(THD)可编程增益放大器(PGA)，具有双运算放大器(运放)，用于心电图(ECG)信号采集。所提出的运放包括轨对轨输入级和ab类输出级。为了解决传统直流移电平技术中轨对轨放大器电源电压变化引起的跨导(gm)变化，本文提出了一种基于共模检测的跨导线性化方案，并结合1 V/V ～ 12 V/V的7步电阻反馈数字增益控制，可实现小于2.7% transconductance variations. The proposed rail-to-rail class-AB PGA is implemented in 0.18-µm CMOS technology with 2.7-V∼5-V power supply voltage. Spice simulation results show that the THD is -110 dB with an input signal of 5 mVpp and the input-referred noise spectrum density is $mu {mathbf{V}}/sqrt {Hz}$ at a 10-Hz frequency point, after adopting an 8-kHz chopping. The total DC current including the bias circuit is 30µA at 5 V.
{"title":"A High-Linear Rail-to-Rail Class-AB PGA with Transconductance Compensation Based on Common-Mode Detection","authors":"Wenbo Yao, Xiaotian Li, Nai-Qi Wu, Tongbei Yang, Hao Wang, Fang Tang","doi":"10.1109/ICECE56287.2022.10048657","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048657","url":null,"abstract":"A low total harmonic distortion (THD) programmable gain amplifier (PGA) with dual operational amplifiers (op-amps) for electrocardiogram (ECG) signal acquisition applications is presented. The proposed op-amp comprises the rail-to-rail input stage and class-AB output stage. To solve the transcon-ductance (gm) variation caused by the supply voltage changes in rail-to-rail amplifiers with the traditional DC level-shifting technique, a common-mode-detection-based transconductance linearization scheme is proposed in this paper, associated with a 7-steps resistor-feedback digital gain control from 1 V/V to 12 V/V, which can realize less than 2.7% transconductance variations. The proposed rail-to-rail class-AB PGA is implemented in 0.18-µm CMOS technology with 2.7-V∼5-V power supply voltage. Spice simulation results show that the THD is -110 dB with an input signal of 5 mVpp and the input-referred noise spectrum density is $mu {mathbf{V}}/sqrt {Hz}$ at a 10-Hz frequency point, after adopting an 8-kHz chopping. The total DC current including the bias circuit is 30µA at 5 V.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116557512","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 : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048646
Youqing Lu, Jinbing Jia, W. He
With the continuous increase of people’s demand for communication, modern wireless communication systems have higher and higher requirements for antennas. The goal of antenna design is broadband, low profile, and miniaturized antennas. Such antennas are used in personal communication systems, small satellite communication terminals, drones, etc. In this paper, a tree-shaped fractal millimeter wave UWB antenna is designed. The antenna is composed of a microstrip feeder, a tree-shaped fractal, a dielectric substrate and a limited ground. The finite ground is a rectangular structure. The antenna is optimized by electromagnetic simulation software, so that the antenna can obtain good impedance matching. The operating frequency band of the antenna is 28.25-39.90GHz (relative bandwidth is 37.6%), and the antenna gain is 5.09dBi. It can be applied to Ka-band and is suitable for future 5G communication. (Abstract)
{"title":"Design of Ka-Band Tree-Shaped Fractal Millimeter Wave Antenna","authors":"Youqing Lu, Jinbing Jia, W. He","doi":"10.1109/ICECE56287.2022.10048646","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048646","url":null,"abstract":"With the continuous increase of people’s demand for communication, modern wireless communication systems have higher and higher requirements for antennas. The goal of antenna design is broadband, low profile, and miniaturized antennas. Such antennas are used in personal communication systems, small satellite communication terminals, drones, etc. In this paper, a tree-shaped fractal millimeter wave UWB antenna is designed. The antenna is composed of a microstrip feeder, a tree-shaped fractal, a dielectric substrate and a limited ground. The finite ground is a rectangular structure. The antenna is optimized by electromagnetic simulation software, so that the antenna can obtain good impedance matching. The operating frequency band of the antenna is 28.25-39.90GHz (relative bandwidth is 37.6%), and the antenna gain is 5.09dBi. It can be applied to Ka-band and is suitable for future 5G communication. (Abstract)","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114264573","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 : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048624
D. Din
In this paper, the virtual network embedding reconfiguration (VNER) problem on elastic optical networks (EONs) with time-varying traffic was studied. Two reconfiguration methods: Most extra Resource First (MRF) and Less Extra Resource First (LERF) and three link expansion methods Same Path (SP), Different Path (DP) and Redeploy method (Rm) were proposed to solve the VNE reconfiguration. We show the effectiveness of the proposed methods through extensive simulations. The results show that the blocking rate of the MRF_Rm method is 2% to 7% lower than the other reconfiguration algorithms. The LRF scheme is better than the MRF scheme.
研究了时变流量弹性光网络中的虚拟网络嵌入重构问题。提出了两种重构方法:Most extra Resource First (MRF)和Less extra Resource First (LERF)，以及三种链路扩展方法Same Path (SP)、Different Path (DP)和redeployment method (Rm)来解决VNE重构问题。我们通过大量的仿真证明了所提出方法的有效性。结果表明，MRF_Rm方法的阻塞率比其他重构算法低2% ~ 7%。LRF方案优于MRF方案。
{"title":"Virtual Network Embedding Reconfiguration Problem of Time-Varying Traffic Problem in EONs","authors":"D. Din","doi":"10.1109/ICECE56287.2022.10048624","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048624","url":null,"abstract":"In this paper, the virtual network embedding reconfiguration (VNER) problem on elastic optical networks (EONs) with time-varying traffic was studied. Two reconfiguration methods: Most extra Resource First (MRF) and Less Extra Resource First (LERF) and three link expansion methods Same Path (SP), Different Path (DP) and Redeploy method (Rm) were proposed to solve the VNE reconfiguration. We show the effectiveness of the proposed methods through extensive simulations. The results show that the blocking rate of the MRF_Rm method is 2% to 7% lower than the other reconfiguration algorithms. The LRF scheme is better than the MRF scheme.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124637053","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, social networks worldwide play an important role in the life of every individual, so it is common to see people interacting and creating content with the tools provided by digital platforms. Therefore, in the following article, the studies that document the influence of the social network Instagram are addressed. This study aimed to carry out a systematic review using the PRISMA methodology. To this end, the Science Direct, Scielo, and Scopus databases were reviewed, and the papers were selected using inclusion and exclusion criteria. In this way, more information based on the analyzed articles was obtained, and it was verified which audiovisual tools help to generate influence in the social network Instagram.
{"title":"Studies Documenting the Components Associated with Instagram Influence: A Review of the Scientific Literature","authors":"Katherine Valeria Salazar-Vegas, Adriana Margarita Turriate-Guzmán","doi":"10.1109/ICECE56287.2022.10048648","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048648","url":null,"abstract":"Currently, social networks worldwide play an important role in the life of every individual, so it is common to see people interacting and creating content with the tools provided by digital platforms. Therefore, in the following article, the studies that document the influence of the social network Instagram are addressed. This study aimed to carry out a systematic review using the PRISMA methodology. To this end, the Science Direct, Scielo, and Scopus databases were reviewed, and the papers were selected using inclusion and exclusion criteria. In this way, more information based on the analyzed articles was obtained, and it was verified which audiovisual tools help to generate influence in the social network Instagram.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123657357","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 : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048627
Chen Liu, Wensheng Zhang, Yongwei Wang
Reconfigurable intelligent surface (RIS) is an emerging technology that enables intelligent control of wireless communication environment. In this paper, an RIS-assisted multi-server mobile edge computing (MEC) system is studied. By jointly optimizing the offloading power, offloading time, central processing unit (CPU) frequency, RIS phase shift, and MEC server allocation of each device, the maximum sum computation rate of the system is achieved. A greedy-based algorithm is used to tackle the server allocation problem. The simulation results demonstrate that the computation rate is improved by applying RIS into the MEC system, and it can be further improved by deploying more MEC servers with proper server allocation strategy.
{"title":"Computation Rate Optimization for RIS-Assisted Multi-server MEC System","authors":"Chen Liu, Wensheng Zhang, Yongwei Wang","doi":"10.1109/ICECE56287.2022.10048627","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048627","url":null,"abstract":"Reconfigurable intelligent surface (RIS) is an emerging technology that enables intelligent control of wireless communication environment. In this paper, an RIS-assisted multi-server mobile edge computing (MEC) system is studied. By jointly optimizing the offloading power, offloading time, central processing unit (CPU) frequency, RIS phase shift, and MEC server allocation of each device, the maximum sum computation rate of the system is achieved. A greedy-based algorithm is used to tackle the server allocation problem. The simulation results demonstrate that the computation rate is improved by applying RIS into the MEC system, and it can be further improved by deploying more MEC servers with proper server allocation strategy.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094641","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 : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048658
Rirong Su, Qinghua Tian, Xiangjun Xin, Xiaoli Yin, Fu Wang, Zhipei Li, Yongjun Wang
In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.
{"title":"A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System","authors":"Rirong Su, Qinghua Tian, Xiangjun Xin, Xiaoli Yin, Fu Wang, Zhipei Li, Yongjun Wang","doi":"10.1109/ICECE56287.2022.10048658","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048658","url":null,"abstract":"In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134508311","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 : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048594
Lilei Wu, Jie Liu
Maximum likelihood estimation has been widely adopted along with the encoder-decoder framework for video captioning. However, it ignores the structure of sentences and restrains the diversity and distinction of generated captions. To address this issue, we propose a hard contrastive learning (HCL) method for video captioning. Specifically, built on the encoder-decoder framework, we introduce mismatched pairs to learn a reference distribution of video descriptions. The target model on the matched pairs is learned on top the reference model, which improves the distinctiveness of generated captions. In addition, we further boost the distinctiveness of the captions by developing a hard mining technique to select the hardest mismatched pairs within the contrastive learning framework. Finally, the relationships among multiple relevant captions for each video is consider to encourage the diversity of generated captions. The proposed method generates high quality captions which effectively capture the specialties in individual videos. Extensive experiments on two benchmark datasets, i.e., MSVD and MSR-VTT, show that our approach outperforms state-of-the-art methods.
{"title":"Hard Contrastive Learning for Video Captioning","authors":"Lilei Wu, Jie Liu","doi":"10.1109/ICECE56287.2022.10048594","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048594","url":null,"abstract":"Maximum likelihood estimation has been widely adopted along with the encoder-decoder framework for video captioning. However, it ignores the structure of sentences and restrains the diversity and distinction of generated captions. To address this issue, we propose a hard contrastive learning (HCL) method for video captioning. Specifically, built on the encoder-decoder framework, we introduce mismatched pairs to learn a reference distribution of video descriptions. The target model on the matched pairs is learned on top the reference model, which improves the distinctiveness of generated captions. In addition, we further boost the distinctiveness of the captions by developing a hard mining technique to select the hardest mismatched pairs within the contrastive learning framework. Finally, the relationships among multiple relevant captions for each video is consider to encourage the diversity of generated captions. The proposed method generates high quality captions which effectively capture the specialties in individual videos. Extensive experiments on two benchmark datasets, i.e., MSVD and MSR-VTT, show that our approach outperforms state-of-the-art methods.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127415543","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 : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048650
S. Lu, Bing-yi Qian, Long Zhao, Qiong Sun
With the increasing complexity of network architecture, the classification of mobile network cells become more important in network operation and maintenance. However, the previous classification method based on manual annotation of scene labeling is inefficient and biased. In this paper, we focus on proposing a data-driven classification method to eliminate the drawbacks of manual annotation. The proposed method extracts the patterns of mobile network on temporal shape and statistical features, and then calculates the fused distance matrix from these two feature sets, K-medoids is leveraged to get the classification labels. We design a series of experiments and analyses to demonstrate the validity of the proposed method, which is based on hourly real data sampled from 9454 mobile cells. The experiments demonstrate that the proposed method achieves good performance on the cell classification of two O&M (Operations and Maintenance) scenarios, and significantly improves the work efficiency.
{"title":"Mobile Networks Classification Based on Time-Series Clustering","authors":"S. Lu, Bing-yi Qian, Long Zhao, Qiong Sun","doi":"10.1109/ICECE56287.2022.10048650","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048650","url":null,"abstract":"With the increasing complexity of network architecture, the classification of mobile network cells become more important in network operation and maintenance. However, the previous classification method based on manual annotation of scene labeling is inefficient and biased. In this paper, we focus on proposing a data-driven classification method to eliminate the drawbacks of manual annotation. The proposed method extracts the patterns of mobile network on temporal shape and statistical features, and then calculates the fused distance matrix from these two feature sets, K-medoids is leveraged to get the classification labels. We design a series of experiments and analyses to demonstrate the validity of the proposed method, which is based on hourly real data sampled from 9454 mobile cells. The experiments demonstrate that the proposed method achieves good performance on the cell classification of two O&M (Operations and Maintenance) scenarios, and significantly improves the work efficiency.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666499","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 : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048638
Nguyen Ngoc Phien, T. T. Duong
Gia Lai is the second largest province in Vietnam. It is a mountainous province in the north of the Central Highlands in central Vietnam. Gia Lai province is also the largest in the Central Highlands, and it has the second most people. This paper shows how to build a web-based GIS to store, manage, analyze, and display data for effective investment promotion for investors. The new thing is mostly about automating the server-side workflow for making and publishing time series maps. On the web browser interface, users can see the results of the analysis. This lets people get to useful information without having to install GIS software.
{"title":"A WebGIS Solution for Effective Investment Promotion for Investors: A Case Study in Gia Lai Province, Vietnam","authors":"Nguyen Ngoc Phien, T. T. Duong","doi":"10.1109/ICECE56287.2022.10048638","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048638","url":null,"abstract":"Gia Lai is the second largest province in Vietnam. It is a mountainous province in the north of the Central Highlands in central Vietnam. Gia Lai province is also the largest in the Central Highlands, and it has the second most people. This paper shows how to build a web-based GIS to store, manage, analyze, and display data for effective investment promotion for investors. The new thing is mostly about automating the server-side workflow for making and publishing time series maps. On the web browser interface, users can see the results of the analysis. This lets people get to useful information without having to install GIS software.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129319178","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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