2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)最新文献

{"title":"Segmenting the Subscribers of An Indonesian 4G Service Operator Using RFM Method","authors":"Joko Tri Wibowo, M. Suryanegara","doi":"10.1109/COMNETSAT53002.2021.9530772","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530772","url":null,"abstract":"This research aims to conduct subscribers’ segmentation of an Indonesian 4G mobile technology service operator by using RFM (Recency, Frequency, Monetary) method. It divides the subscribers into some market segments that reflects the same needs and capabilities. The primary data of 999,399 subscribers are processed following the steps of RFM method. The results show that about two-third of the subscribers is in the segments reflecting a lower Monetary value, while one-third is having higher Monetary value; in which the values correspondent to the subscribers’ ARPU. However the subscribers are also having various purchasing behavior, reflected by Recency and Frequency values. The results can be utilized to assist 4G operator companies on developing advanced strategies to retain customers and increase the ARPU.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"314 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127189796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Efficient Video Transformer for Violence Detection","authors":"Al.maamoon Rasool Abdali","doi":"10.1109/COMNETSAT53002.2021.9530829","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530829","url":null,"abstract":"In smart cities, violence event detection is critical to ensure city safety. Several studies have been done on this topic with a focus on 2d-Convolutional Neural Network (2d-CNN) to detect spatial features from each frame, followed by one of the Recurrent Neural Networks (RNN) variants as a temporal features learning method. On the other hand, the transformer network has achieved a great result in many areas. The bottleneck for transformers is the need for large data set to achieve good results. In this work, we propose a data-efficient video transformer (DeVTr) based on the transformer network as a Spatio-temporal learning method with a pre-trained 2d-Convolutional neural network (2d-CNN) as an embedding layer for the input data. The model has been trained and tested on the Real-life violence dataset (RLVS) and achieved an accuracy of 96.25%. A comparison of the result for the suggested method with previous techniques illustrated that the suggested method provides the best result among all the other studies for violence event detection.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116070681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Characterization of Narrowband BPF Made of Substrate Integrated Waveguide","authors":"H. Nusantara, Arief Budi Santiko, Zulfi, Kusmadi, Nina Lestari, A. Munir","doi":"10.1109/COMNETSAT53002.2021.9530786","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530786","url":null,"abstract":"The utilization of substrate integrated waveguide (SIW) structure has penetrated into numerous applications for radio frequency devices. This paper discusses the development of narrowband bandpass filter (BPF) made of SIW structure for 5 GHz band wireless communication application. The proposed filter is designed on a Duroid 5880 dielectric substrate with the thickness of 1.575 mm and the total dimension of 36.5 mm (length) by 19 mm (width). The characterization is conducted by simulation software to investigate and analyze the effect of different parameters of SIW BPF to the output response. Meanwhile, parametric studies as part of characterization process are applied upon the proposed filter to obtain the optimum design of filter architecture. The results of characterization show that the proposed narrowband SIW BPF with the input/output impedances of 50 Ω has the bandwidth characteristic of 84 MHz in the frequency range of 5.827 GHz to 5.911 GHz with a good frequency selectivity suitable for the desired application.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116133852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"5G D2D Transmission Mode Selection Performance & Cluster Limits Evaluation of Distributed AI and ML Techniques","authors":"I. Ioannou, C. Christophorou, V. Vassiliou, A. Pitsillides","doi":"10.1109/COMNETSAT53002.2021.9530792","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530792","url":null,"abstract":"5G D2D Communication promises improvements in energy and spectral efficiency, overall system capacity, and higher data rates. However, to achieve optimum results, it is essential to select wisely the Transmission mode of the D2D Device to form clusters in the most advantageous positions in terms of Sum Rate and Power Consumption. Towards this end, this paper investigates the use of Distributed Artificial Intelligence (DAI) and innovative D2D, Machine Learning (ML) approaches (i.e., DAIS, FuzzyART, DBSCAN and MEC) to achieve satisfactory results in terms of Spectral Efficiency (SE), Power Consumption (PC) and execution time, with the creation of clusters and back-hauling links in D2D network under existing Base Station. Additionally, this paper focuses on a small number of Devices (i.e., <=200), targeting the identification of the limits of each approach in terms of the low number of devices. More specifically, we investigate when an operator must consider implementing a D2D network (that requires extra complexity), therefore when the cluster members are sufficient enough to achieve better results than the classic mobile network. So, this research identifies where it is beneficial to form a cluster, investigate the critical point that gains increases rapidly and in the end, examine the applicability of 5G requirements. Additionally, prior work presented a Distributed Artificial Intelligence (DAI) Solution/Framework in D2D, and a DAIS Transmission Mode Selection (TMS) plan was proposed. In this paper, DAIS is further examined, improved in terms of thresholds evaluation (i.e., Weighted Data Rate (WDR), Battery Power Level (BPL)), evaluated, and compared with other approaches (AI/ML). The results obtained demonstrate the exceptional performance of DAIS and FuzzyART, compared to all other related approaches in terms of SE, PC, execution time and cluster formation. Also, results show that the investigated AI/ML approaches are also beneficial for Transmission Mode Selection (TMS) in 5G D2D communication, even with fewer devices (i.e., >=5 for clustering, >=50 for backhauling) as lower limits.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122306908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated Strategy Framework To Improve Quality Of Network on The BMKG Communication Network System","authors":"Budi Dwinanto, A. S. Arifin","doi":"10.1109/COMNETSAT53002.2021.9530814","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530814","url":null,"abstract":"BMKG (Meteorology, Climatology and Geophysics Agency) is an organization with a service function that provides information on Meteorology, Climatology, Air Quality, and Geophysics. Good data management is the main focus of BMKG’s business activities to produce fast, precise, accurate, wide-coverage, and understandable information. A reliable and speedy Local Area Network (LAN) and Wide Area Network (WAN) communication infrastructure can help analyze data and disseminate public information. To get the quality of the communication network system, the authors measure network parameters on the network infrastructure at BMKG, such as access speed and transmission capacity, from the sending point to the receiving point. The parameters used are jitter, delay (latency), packet loss and throughput. This measurement uses the Iperf/Jperf tools to measure throughput bandwidth and packet loss in a network system. This QoS parameter follows the standards set by the Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON). The results and analysis of QoS measurements show that, in general, some buildings during office hours and non-office hours show good results. To excellent results, ideally the TIPHON standard, the authors describe the proposed integrated framework, including the End-User layer, the application layer, the system layer, the investment layer and the hardware layer. The proposed integrated framework is a concept to improve the quality of a better network. So that, in general, it can produce the outcome of improving the performance of the network system, especially in the BMKG and can minimize economic losses to social impacts, in this case, a disaster","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131730984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fuzzy Logic Implementation on Motion of Tennis Ball Picker Robot","authors":"Faizah Faizah, A. Triwiyatno, R. Isnanto","doi":"10.1109/COMNETSAT53002.2021.9530815","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530815","url":null,"abstract":"The role of the tennis ball picker robot is to work to pick up tennis balls that are on the court after they are not used in a match. The tennis ball picker robot is an implementation of a vision-based robot designed to use object tracking techniques in tracking an object by utilizing digital image processing. This process gives the robot the ability to know the motion of the tennis ball. In this research, the robot will track the position of a tennis ball which has the characteristics of color, shape and size. Pixy2 CMUcam5 image sensor use to detect the tennis ball, while to control the position of the robot uses the fuzzy logic method. Input from fuzzy logic is the x and y coordinate points of the tennis ball's position towards the robot. The output of the fuzzy logic is the speed of the motor actuator on the robot wheel to move the robot to detected tennis ball position. Infrared sensor can detect tennis ball as far as 100 cm and tennis ball position point is detected by Pixy2 CMUcam5 camera sensor at coordinates (169, 170). By using the fuzzy logic method the robot can pick up a tennis ball at the 7th second.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133204202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utilizing 2100 MHz for 4G LTE-A Network Deployment to Addressing Spectrum Scarcity in Urban Area","authors":"Pinasthika Aulia Fadhila, Muhammad Imam Nashiruddin, M. Nugraha","doi":"10.1109/COMNETSAT53002.2021.9530821","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530821","url":null,"abstract":"The current rapid growth of technology causes a tremendous increase in users adopting the latest technology, particularly in a large population country such as Indonesia. This increase in users then led to far more enormous network traffic congestion. One plausible solution to this obstacle query in Indonesia is adding a supplementary 4G LTE-Advanced network frequency. This study aims to use 2100 MHz frequency to simulate both capacity and coverage analysis of a 4G LTE-Advanced network in North Jakarta, Indonesia. Afterward, this study provides the evaluations of Key Performance Indicators (KPI), Reference Signal Receive Power (RSRP), Signal to Interference Noise Ratio (SINR), radio bearer, and throughput analysis based on the obtained simulation results. This study obtained that the site number demanded in North Jakarta is 189 sites. Furthermore, the average RSRP, SINR, radio bearer, and throughput were - 68.73 dBm, 4.1 dB, CQI Index 6, and 16.72 Mbps, respectively. These values met the requirements for the 2100 MHz frequency implementation in North Jakarta.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124591732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Comparison of Swarm Intelligence Algorithms for Web Caching Strategy","authors":"Mulki Indana Zulfa, Rudy Hartanto, A. E. Permanasari","doi":"10.1109/COMNETSAT53002.2021.9530778","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530778","url":null,"abstract":"Web caching is one strategy that can be used to speed up response times by storing frequently accessed data in the cache server. Given the cache server limited capacity, it is necessary to determine the priority of cached data that can enter the cache server. This study simulated cached data prioritization based on an objective function as a characteristic of problem-solving using an optimization approach. The objective function of web caching is formulated based on the variable data size, count access, and frequency-time access. Then we use the knapsack problem method to find the optimal solution. The Simulations run three swarm intelligence algorithms Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Binary Particle Swarm Optimization (BPSO), divided into several scenarios. The simulation results show that the GA algorithm relatively stable and fast to convergence. The ACO algorithm has the advantage of a non-random initial solution but has followed the pheromone trail. The BPSO algorithm is the fastest, but the resulting solution quality is not as good as ACO and GA.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128333759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visual Editor for Streamlining P4-based Programmable Parser Development","authors":"M. Sidiq, Mega Pranata, A. Basuki","doi":"10.1109/COMNETSAT53002.2021.9530834","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530834","url":null,"abstract":"P4 language enables new protocol development for advanced networking tasks such as dynamic monitoring, custom tunneling & routing, in-switch attack detection, and soon. Nevertheless, developing a P4 program is challenging for those who either lacking programming skills or advanced networking. This paper proposed a visual editor to ease the development of P4-based programmable parser which is the first and fundamental step in P4 development. The editor offers two functionalities, the creation of custom protocols & protocols parser, and code generation for testing purposes. For evaluations, we run a compatibility test to ensure that P4-switch can parse any packet using bit-by-bit extraction defined by the programmable parser. We develop custom protocols having the same bit structure as the standard protocols, such as Ethernet, IP, TCP, UDP, and MPLS, but use different naming. The result showed that the receiver recognized the custom protocols as the standard ones since the P4-switch treat them based on their bit structure. At last, the proposed program can ease and speed up the development of P4-based parser by providing visual editor, and network tester generator.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130645317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification Hoax News of Covid-19 on Instagram Using K-Nearest Neighbor","authors":"I. F, Y. Yaddarabullah, S. Permana","doi":"10.1109/COMNETSAT53002.2021.9530828","DOIUrl":"https://doi.org/10.1109/COMNETSAT53002.2021.9530828","url":null,"abstract":"The world was shocked by the outbreak of a virus known as COVID-19 in Wuhan, China. The spread of the virus is increasingly spreading to all countries in the world, including Indonesia. In Indonesia, information about the COVID-19 virus can be found on various social media, one of which is Instagram. Starting from scratch are found positive cases of COVID-19 in Jakarta. Until now, many news provider's accounts found COVID-19 uploaded on Instagram allows the spread of false news. The spread of fake news has greatly affected the handling of this COVID-19 pandemic. The number of hoax news COVID-19 spread on Instagram makes this study using Instagram as a media data retrieval. Therefore research is needed on classifying hoax news about COVID-19 on news accounts on Instagram. This study uses the K-Nearest Neighbor method to classify COVID-19 news on news accounts on Instagram. This research will classify Instagram based on valid news posts on 30 news accounts on Instagram containing news about COVID-19. The news reference used for categorizing hoaxes is from the @turnbackhoaxid account. In using the K-Nearest Neighbor method, the TF-IDF modeling is applied in conducting assessments and weighting. The research results by using the K-Nearest Neighbor method have a presentation accuracy of success 90%, where the precision value is 83%, recall 100%, and f1-score 91% can solve the problem spread of fake news in Indonesian about COVID-19 on news accounts on Instagram.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124951289","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}