2020 2nd International Conference on Computer Communication and the Internet (ICCCI)最新文献_第2页

A Novel Node Design Based on Smart Antenna in Ad-hoc Network Ad-hoc网络中基于智能天线的节点设计

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145991

Li-min Peng, Zhenhua Liu

{"title":"A Novel Node Design Based on Smart Antenna in Ad-hoc Network","authors":"Li-min Peng, Zhenhua Liu","doi":"10.1109/ICCCI49374.2020.9145991","DOIUrl":"https://doi.org/10.1109/ICCCI49374.2020.9145991","url":null,"abstract":"In this paper, a novel node design based on smart antenna is investigated. Normally, the ad-hoc consists of many nodes, in which there are source nodes (SNs), destination nodes (DNs) and relay nodes (RNs). To improve the performance of ad-hoc network, smart antenna is introduced to increase the relay links in transmission. In traditional node design, the nodes would use analog beamforming (ABF)to form multi beams to transmit services. But there are three disadvantages in traditional node design, one is the high cost of beams, second is the limitation in beam number, and third is the high service loss probability. In our proposed novel node design, we use digital beamforming (DBF) method to reduce the beam costs. We combine DBF with overlay/underlay mode and introduce overlay/underlay beams to increase the beam number. Also, we take differentiated treatment to different services and transmit different services in proper overlay/underlay beams. Using this novel node design, the ad-hoc network could get more relay links and have low service loss probability, and that leads to more service capacity of ad-hoc network, while the network cost is low. Simulation results show that our proposed novel node design has a better performance than the traditional node design.","PeriodicalId":153290,"journal":{"name":"2020 2nd International Conference on Computer Communication and the Internet (ICCCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124258140","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

Blockchain and DHT Based Lookup System Aiming for Alternative DNS 基于区块链和DHT的查找系统，旨在替代DNS

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145989

Kazuma Matsuoka, Tsunehiko Suzuki

引用次数: 4

A Revolutionary Interactive Smart Classroom (RISC) with the Use of Emerging Technologies 使用新兴技术的革命性交互式智能教室(RISC)

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145987

Vasileios A. Memos, Georgios M. Minopoulos, C. Stergiou, Konstantinos E. Psannis, Y. Ishibashi

{"title":"A Revolutionary Interactive Smart Classroom (RISC) with the Use of Emerging Technologies","authors":"Vasileios A. Memos, Georgios M. Minopoulos, C. Stergiou, Konstantinos E. Psannis, Y. Ishibashi","doi":"10.1109/ICCCI49374.2020.9145987","DOIUrl":"https://doi.org/10.1109/ICCCI49374.2020.9145987","url":null,"abstract":"Nowadays, the traditional teacher-centered way of teaching seems to be anachronistic. Disabled people, and not only, face difficulties to follow the current educational methods. The evolution of technology can offer significant benefits in these problems. Cutting-edge technologies, such as as Internet of Things (IoT), Cloud Computing (CC), Wireless Sensor Networks (WSN), Big Data Analytics (BDA), Compressed Sensing (CS), Augmented Reality/Virtual Reality (AR/VR) and 5G Networking can contribute in the field of smart education. However, smart education is currently in an embryonic 2D data representational state. In this paper, we propose a new Revolutionary Interactive Smart Classroom (RISC) which will provide a virtual environment for enhanced learning experience, based on 5G Network. This classroom will also make use of 3D virtual services in combination with haptic equipment and sensors, in order to carry out augmented human sensing information and touch into the virtual class. The advantages of such a classroom will be the sustainability in many fields, such as Society, Education, Environment, Economics, Technology and Cultural Tourism.","PeriodicalId":153290,"journal":{"name":"2020 2nd International Conference on Computer Communication and the Internet (ICCCI)","volume":"421 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133191376","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: 14

New Field Server Addition Method for Low-Price Rice Cultivation Management System 低价水稻栽培管理系统新增田间服务器的方法

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145992

Shogo Ishii, Sota Tatsumi, M. Tanaka, Y. Okumura, Tatsuya Kochi

引用次数: 1

Implementation of Secure Web Conferencing 安全Web会议的实现

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145972

C. Lin, Huan Zhang, Jain-Shing Liu, Shih-Huang Chen

引用次数: 4

Data Labeling with Novel Decision Module of Tri-training 基于三训练决策模块的数据标注

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145968

Chuan-Mu Tseng, Tzu-Wei Huang, Tzong-Jye Liu

引用次数: 2

New Effective Differential Evolution Algorithm for the Project Scheduling Problem 项目调度问题的一种新的有效差分进化算法

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145982

Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan, Toan Phan Thanh

{"title":"New Effective Differential Evolution Algorithm for the Project Scheduling Problem","authors":"Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan, Toan Phan Thanh","doi":"10.1109/ICCCI49374.2020.9145982","DOIUrl":"https://doi.org/10.1109/ICCCI49374.2020.9145982","url":null,"abstract":"The Resource-Constrained Project Scheduling Problem (RCPSP) is a classical combinational optimization problem that has many practical applications. In this paper, we consider an extension of the RCPSP which called Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP). In the past few years, various approaches have been proposed to solve this problem such as Genetic Algorithm and Ant Colony Optimization. However, reducing the likelihood of premature convergence is the challenge facing researchers. In this paper, we present a novel algorithm called DEM in order to solve the MS-RCPSP problem. Besides using the differential evolution metaheuristic, we also develop the Reassignment function to improve the solution quality at the end of each iteration, so that proposed algorithm converges rapidly to global extremum. Moreover, proposed algorithm also avoids getting trapped in a local extremum. The experiments were conducted to evaluate the performance of the proposed algorithm, as well as to compare the DEM with previous algorithms such as GreedyDO, HAntCO, and GA. Experimental results show that the proposed algorithm can effectively enhance searching efficiently.","PeriodicalId":153290,"journal":{"name":"2020 2nd International Conference on Computer Communication and the Internet (ICCCI)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123291306","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: 6

A Packet Aggregation Scheme for Communication Networks Consisted of Mainly Low-Latency Required Packets 一种通信网络的分组聚合方案，主要由低时延所需的分组组成

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145967

Takaya Furuta, R. Takahashi, Y. Fukazawa

引用次数: 0

PeTIT: Perceiving the Technological Innovation Trends via the Heuristic Model of Community Detection 基于社区检测启发式模型的技术创新趋势感知

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145976

Hecan Zhang, Xin Guo, C. Yi, Yue Dou, Dong Chen, Nannan Tong, Jiandong Wang

{"title":"PeTIT: Perceiving the Technological Innovation Trends via the Heuristic Model of Community Detection","authors":"Hecan Zhang, Xin Guo, C. Yi, Yue Dou, Dong Chen, Nannan Tong, Jiandong Wang","doi":"10.1109/ICCCI49374.2020.9145976","DOIUrl":"https://doi.org/10.1109/ICCCI49374.2020.9145976","url":null,"abstract":"Patent analysis is widely used in many kinds of research, such as competitive intelligence analysis, technology trends perceiving, industrial distribution planning, macro-economy regulations, and so on. Based on the patent data, this paper proposed a novel algorithm, which named PeTIT, to perceive the technological innovation trends by applying the heuristic community detection model. The PeTIT algorithm included four steps: patent ontology extraction, technological innovation tree construction, technological innovation community detection, and technological innovation trends perceiving. We implemented the PeTIT algorithm on the real dataset of invention patents in the field of artificial intelligence in China, which ranged from Jun 1st, 2000 to May 1st, 2019. The results showed that the innovation situation of artificial intelligent was mainly concentrated in 10 fields. Moreover, the application field of intelligent driving has become one of the fastest-growing industries. Finally, the experimental results demonstrated that the cubic exponential smoothing model had a higher performance by perceiving the technological innovation trends.","PeriodicalId":153290,"journal":{"name":"2020 2nd International Conference on Computer Communication and the Internet (ICCCI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123723276","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

Intelligent SDN Traffic Classification Using Deep Learning: Deep-SDN 基于深度学习的智能SDN流量分类:Deep-SDN

2020 2nd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2020-06-01 DOI: 10.1109/ICCCI49374.2020.9145971

Ali Malik, Ruairí de Fréin, Mohammed Al-Zeyadi, Javier Andreu-Perez

{"title":"Intelligent SDN Traffic Classification Using Deep Learning: Deep-SDN","authors":"Ali Malik, Ruairí de Fréin, Mohammed Al-Zeyadi, Javier Andreu-Perez","doi":"10.1109/ICCCI49374.2020.9145971","DOIUrl":"https://doi.org/10.1109/ICCCI49374.2020.9145971","url":null,"abstract":"Accurate traffic classification is fundamentally important for various network activities such as fine-grained network management and resource utilisation. Port-based approaches, deep packet inspection and machine learning are widely used techniques to classify and analyze network traffic flows. However, over the past several years, the growth of Internet traffic has been explosive due to the greatly increased number of Internet users. Therefore, both port-based and deep packet inspection approaches have become inefficient due to the exponential growth of the Internet applications that incurs high computational cost. The emerging paradigm of software-defined networking has reshaped the network architecture by detaching the control plane from the data plane to result in a centralised network controller that maintains a global view over the whole network on its domain. In this paper, we propose a new deep learning model for software-defined networks that can accurately identify a wide range of traffic applications in a short time, called Deep-SDN. The performance of the proposed model was compared against the state-of-the-art and better results were reported in terms of accuracy, precision, recall, and f-measure. It has been found that 96% as an overall accuracy can be achieved with the proposed model. Based on the obtained results, some further directions are suggested towards achieving further advances in this research area.","PeriodicalId":153290,"journal":{"name":"2020 2nd International Conference on Computer Communication and the Internet (ICCCI)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127471649","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: 18