2018 20th International Conference on Advanced Communication Technology (ICACT)最新文献_第6页

Android based advanced attendance vigilance system using wireless network with fusion of bio-metric fingerprint authentication 基于Android的高级考勤系统采用无线网络融合生物识别指纹认证

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323701

H. Adal, Nawsheen Promy, Sanjana Srabanti, Mahbubur Rahman

引用次数: 8

Protocols and use cases for media independent management in SDN-based wireless access networks 基于sdn的无线接入网络中媒体独立管理的协议和用例

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323745

Hyeong-Ho Lee, Yun Chul Choi, B. Ahn, J. Choi

引用次数: 0

A low-complexity practical energy saving algorithm for real dense wireless scenario 面向真实密集无线场景的低复杂度实用节能算法

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323917

Fei Ding, Ye Wang, E. Tong, Zhiwen Pan, Xiao-hu You

{"title":"A low-complexity practical energy saving algorithm for real dense wireless scenario","authors":"Fei Ding, Ye Wang, E. Tong, Zhiwen Pan, Xiao-hu You","doi":"10.23919/ICACT.2018.8323917","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323917","url":null,"abstract":"In this paper, a low-complexity practical energy saving algorithm by switching off/on some eNBs in a real dense urban scenario considering historical and real-time eNB load is proposed. First, eNBs are ranked according to their loads in an ascending order and the first eNB in the list with load decreasing and smaller than a low threshold is pre-selected as target switching off cell. Then, the effect of the target switching off eNB on neighbour eNBs is evaluated. The target eNB switches-off while the load of neighbour eNBs after the eNB switches off is smaller than another threshold. Since estimation of the additional load on the neighbour eNBs due to the switch-off eNB is of high complexity, a fast estimation algorithm considering the whole eNB load by a traffic load conversion coefficient is proposed. The traffic load conversion coefficient declines slowly with the increasing of site traffic load. Third, the switching-off eNB can be switched on by the active eNBs in a distributed way. Based on the load changes in a week period of the eNB, the cumulative probability distribution of normalized load is analyzed, and then the threshold value of the eNB in different periods is evaluated. The energy saving ratio is obviously related with the interval between the switched on or off threshold values and the complexity of the algorithm is significantly reduced. Simulation results show that the proposed energy saving scheme can save up to 24% energy consumption and with low system complexity.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128114139","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}

引用次数: 1

Experimental assessment of battery lifetime for commercial off-the-shelf NB-IoT module 商用现成NB-IoT模块电池寿命实验评估

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323703

Chun Yeow Yeoh, A. Man, Q. Ashraf, A. Samingan

{"title":"Experimental assessment of battery lifetime for commercial off-the-shelf NB-IoT module","authors":"Chun Yeow Yeoh, A. Man, Q. Ashraf, A. Samingan","doi":"10.23919/ICACT.2018.8323703","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323703","url":null,"abstract":"Low Power Wide Area (LPWA) connectivity, a wireless wide area technology that is characterized for interconnecting devices with low bandwidth connectivity and focusing on range and power efficiency, is seen as one of the fastest-growing components of Internet-of-Things (IoT). The LPWA connectivity is used to serve a diverse range of vertical applications, including agriculture, consumer, industrial, logistic, smart building, smart city and utilities. 3GPP has defined the maiden Narrowband IoT (NB-IoT) specification in Release 13 (Rel-13) to accommodate the LPWA demand. Several major cellular operators, such as China Mobile, Deutsch Telekom and Vodafone, have announced their NB-IoT trials or commercial network in year 2017. In Telekom Malaysia, we have setup a NB-IoT trial network for End-to-End (E2E) integration study. Our experimental assessment showed that the battery lifetime target for NB-IoT devices as stated by 3GPP utilizing latest-to-date Commercial Off-The-Shelf (COTS) NB-IoT modules is yet to be realized. Finally, several recommendations on how to optimize the battery lifetime while designing firmware for NB-IoT device are also provided.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131276331","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}

引用次数: 25

Proposal of value-added service based on real-time automatic content recognition 基于实时自动内容识别的增值业务方案

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323839

Donghwan Shin, Jonguk Choi

{"title":"Proposal of value-added service based on real-time automatic content recognition","authors":"Donghwan Shin, Jonguk Choi","doi":"10.23919/ICACT.2018.8323839","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323839","url":null,"abstract":"ACR (Automatic Contents Recognition) technology is a technology for automatically recognizing contents, and mainly recognizes contents using audio signal processing technology. The reason why ACR technology is necessary is to recognize the content currently being broadcast and provide an additional service suitable for it. Because of this necessity, internationally, ACR technology is selected as a standard in ATSC 3.0. In Korea, IBB (Integrated Broadcast and Broadband) service is included as domestic UHD broadcasting technology standard. In this paper, we describe the standard progress of ACR technology as domestic IBB standard and discuss why ACR technology is needed in actual broadcasting environment and future development direction. In particular, there is a limitation that the standardized part can only be provided by UHD TV. UHD TV Terrestrial broadcasting started in May 2017 based on ATSC 3.0 for the first time in the world. However, considering the domestic situation that more than 90% of users watch using set-top boxes, the number of households receiving UHD broadcasting directly is expected to be less than 10%. In addition, UHD broadcasting can only use UHD TV purchased in 2017 to use additional information service using ACR technology. DTV broadcasting will continue until UHD 100% broadcasting will be available by 2027 because the average TV replacement cycle is about 10 years on average. Accordingly, the time to replace the TV with UHD TV is expected to take more than 10 years. In this paper, the technology and direction to solve these problems are proposed.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130428169","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}

引用次数: 0

Classification of Exploit-Kit behaviors via machine learning approach 基于机器学习方法的Exploit-Kit行为分类

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323797

Sukritta Harnmetta, S. Ngamsuriyaroj

{"title":"Classification of Exploit-Kit behaviors via machine learning approach","authors":"Sukritta Harnmetta, S. Ngamsuriyaroj","doi":"10.23919/ICACT.2018.8323797","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323797","url":null,"abstract":"An Exploit-Kit (EK) is the cyber attacking tool which targets in finding vulnerabilities appeared on a web browser instance such as web-plugins, add-on instances usually installed in a web browser. Such instances may send some suitable malware payload through the vulnerabilities they found. This kind of such cyber-attack is known as the drive-by-download attack where malware downloading do not require any interaction from users. In addition, EK can do self-protection by imitating a benign website or responding to end-users with HTTP 404 error code whenever it encountered an unsupported target web browser. As a result, detecting EK requires a lot of effort. However, when an EK launches an attack, there are some patterns of interactions between a host and a victim. In this work, we obtain a set of data from www.malware-traffic-analysis.net and analyze those interactions in order to identify a set of features. We use such features to build a model for classifying interaction patterns of each EK type. Our experiments show that, with 5,743 network flows and 45 features, our model using Decision tree approach can classify EK traffic and EK type with accuracy of 97.74% and 97.11% respectively. In conclusion, our proposed work can help detect the behavior of EK with high accuracy.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122254524","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}

引用次数: 5

A comparative study on preprocessing methods for object tracking in sports events 体育赛事目标跟踪预处理方法的比较研究

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323793

S. Moon, Ji Won Lee, Do-Won Nam, Wonyoung Yoo, Wonjun Kim

引用次数: 5

Achieving fair cell-edge performance: Low-complexity interference coordination in OFDMA networks 实现公平的蜂窝边缘性能:OFDMA网络中的低复杂度干扰协调

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323625

Sunghyun Kim, H. Jwa, J. Moon, J. Na

引用次数: 2

Shot category detection based on object detection using convolutional neural networks 基于卷积神经网络的镜头类别检测

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323637

Deokkyu Jung, Jeong-Woo Son, Sun-Joong Kim

引用次数: 8

Proposed solution for improving the reliability of HSS data by integrating a queue manager 提出了通过集成队列管理器来提高HSS数据可靠性的解决方案

2018 20th International Conference on Advanced Communication Technology (ICACT) Pub Date : 2018-02-01 DOI: 10.23919/ICACT.2018.8323883

Ngartabe Kag-Teube, Yvan Paillard Kalia-Sya Dodoagnen, S. Ouya, Kéba Gueye

引用次数: 2