{"title":"ICCCM 2021: 9th International Conference on Computer and Communications Management, Singapore, July 16 - 18, 2021","authors":"","doi":"10.1145/3479162","DOIUrl":"https://doi.org/10.1145/3479162","url":null,"abstract":"","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128510670","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":"Proceedings of the 2019 7th International Conference on Computer and Communications Management, ICCCM 2019, Bangkok, Thailand, July 27-29, 2019","authors":"","doi":"10.1145/3348445","DOIUrl":"https://doi.org/10.1145/3348445","url":null,"abstract":"","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126963288","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":"Experimental Analysis of Received Signals Strength in Bluetooth Low Energy in Crowd Environments","authors":"G. B. Humaid, Abdellatif I. Moustafa","doi":"10.1145/3479162.3479183","DOIUrl":"https://doi.org/10.1145/3479162.3479183","url":null,"abstract":"The Bluetooth Low Energy sensor detects smartphones by sending notifications to users when their smartphones enter the range. Indeed, the crowded environment influences detection because of the human body, which is 80% water. The main challenge here is the sensitivity of the Received Signal Strength Indicator (RSSI) values to environment changes, particularly in the crowded environment, which results in signal propagation or radio map changes. Therefore, distance estimation's accuracy and efficiency depend heavily on the accuracy of the measured RSSI values and radio propagation exponent. This paper aims to study the RSSI variations at different transmission distances and develop a radio waves propagation model to minimize the distance estimation error. Moreover, we analyzed the differences between measured values and estimated values of distance. The experimental result, acquired through practical experiments in a real-world environment, shows the relative error (RE) of estimation distance is 0.06 with the presence of 16.5 dBm RSSI maximum variation between crowded and uncrowded environment. Furthermore, we have also perceived that environmental specific radio waves propagation exponent significantly affects distance estimation accuracy in BLE modules. This indicates that the logarithmic distance propagation model is suitable for path-loss modeling in a crowded environment. The validity of the propagation model was further verified by comparisons between the measured and predicted distance. To explore the findings, experiments were conducted in Al-Madinah Mosque. This study's outcomes will further facilitate the development and design of several applications for the crowding environment.","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116591829","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}
I. V. R. Domingo, Marionne Nicole Gregorio Mamanta, James Thomas Solero Regpala
{"title":"FILENG: An Automatic English Subtitle Generator from Filipino Video Clips using Hidden Markov Model","authors":"I. V. R. Domingo, Marionne Nicole Gregorio Mamanta, James Thomas Solero Regpala","doi":"10.1145/3479162.3479172","DOIUrl":"https://doi.org/10.1145/3479162.3479172","url":null,"abstract":"The researchers thought of creating a system to promote the Filipino language, especially Tagalog, through a labeled text or subtitle. The researchers have developed a system, FILENG: An Automatic English Subtitle Generator from Tagalog Video Clips, that can automatically generate an English subtitle from Tagalog video clips. The researchers used sphinx4 as the tool for creating a speech to text extraction. The timeframe is also included in the output. Seventy nine percent accuracy of the system was recorded by the proponents. The study utilized results of Precision, Recall and the F-Measure from the tested gathered data. Enhancement of the system must be considered for further study.","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122277099","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}
Manuel Bautista Garcia, Teodoro Feria Revano, A. C. Yabut
{"title":"Hand Alphabet Recognition for Dactylology Conversion to English Print Using Streaming Video Segmentation","authors":"Manuel Bautista Garcia, Teodoro Feria Revano, A. C. Yabut","doi":"10.1145/3479162.3479169","DOIUrl":"https://doi.org/10.1145/3479162.3479169","url":null,"abstract":": Assistive technologies gained traction in the medical field over the last few decades. Novel approaches have been developed to support people with disability to communicate effectively. However, little research has been conducted on the other side of the coin, that is, assistive technologies to help people who do not have a disability to understand the language of the disabled. This study describes the early development of a hand alphabet recognition that intends to accomplish a functioning dactylology conversion from sign language to English print in a live streaming video. Through video analysis, each frame is processed using a segmentation technique to partition it into different segments (e.g., pixels of hand gestures). The dactylology conversion algorithm was implemented in a mobile application where users can watch videos containing an on-screen sign language interpreter and understand fingerspelling used as communication by hearing- and speech-impaired people. Through the sample dataset of 13 videos of American Sign Language manually collected ( n = 10) and recorded ( n = 3), the application was tested for its accuracy in detecting the alphabet in a video (94.16%), and the correctness of conversion of the detected alphabet into English print (89.65%). This study contributes to the list of existing novel approaches that aim to promote social positive effects as well as improve the quality of life for both disabled and all the people they socialize with.","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120962632","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":"A Data Cleansing System for Musical Expression Analysis","authors":"T. Mizutani, Keizou Hasegawa","doi":"10.1145/3411174.3411176","DOIUrl":"https://doi.org/10.1145/3411174.3411176","url":null,"abstract":"A new data cleansing system for musical expression analysis is introduced. In order to analyze musical expression and to create musical rendition models, it is necessary to develop this new system since the database used in this study is no longer available and it is impossible to collect any more data without the new system. Inputs of this system are actual musical performance data of classic piano music in WAV format, and additionally musical information, i.e. chords, musical symbols, etc., obtained from analysis of the corresponding music score. The harmonic tension values and melodic attraction values are also used as inputs, which are obtained from the prolongational reduction tree expressing the cognitional and hierarchical tension-relaxation structure obtained from the score. From the WAV data, the system extracts physical onset times and calculates local tempos as its musical expression. Using multiple regression analysis, music expression of each performance is analyzed and some interesting features are obtained, that are useful to create musical rendition models.","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115155540","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}
Kenneth A. J. G. Quilantang, James Andrei C. Rivera, Mark Vincent M. Pinili, Alphonsus Joseph Nicollo R. Magpantay, E. Blancaflor, J. R. M. Pastrana
{"title":"Exploiting Windows 7 Vulnerabilities using Penetration Testing Tools: A Case Study about Windows 7 Vulnerabilities","authors":"Kenneth A. J. G. Quilantang, James Andrei C. Rivera, Mark Vincent M. Pinili, Alphonsus Joseph Nicollo R. Magpantay, E. Blancaflor, J. R. M. Pastrana","doi":"10.1145/3479162.3479181","DOIUrl":"https://doi.org/10.1145/3479162.3479181","url":null,"abstract":"Many businesses ranging from small to large organizations use Windows 7 as their primary operating systems on their devices. A large portion of home desktops also use the operating system as well. This is a major risk due to the fact that Microsoft has discontinued support for Windows 7. With this vulnerability, hackers and cybercriminals utilize this to attack devices that use the outdated platform. The research focuses on the different attacks on Windows 7 ranging from listener exploits to system crash exploits. The penetration testing environment was done in a safe laboratory with the use of a virtual machine. The researchers then used different pen testing tools such as Metasploit, EternalBlue, NMAP, and other resources in order to penetrate the Windows 7 testing device. This study aims to provide recommendations to prevent such attacks from happening.","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122101948","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":"ICCCM 2020: 8th International Conference on Computer and Communications Management, Singapore, July, 2020","authors":"","doi":"10.1145/3411174","DOIUrl":"https://doi.org/10.1145/3411174","url":null,"abstract":"","PeriodicalId":132108,"journal":{"name":"International Conference on Computer and Communications Management","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115034509","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}