Proceedings of the 2020 8th International Conference on Communications and Broadband Networking最新文献

Conflict-Free Vectorized In-order In-place Radix-r Belief Propagation Polar Code Decoder Algorithm 无冲突矢量有序就地基-r信念传播极化码译码算法

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390539

Arvid B. van den Brink, M. Bekooij

{"title":"Conflict-Free Vectorized In-order In-place Radix-r Belief Propagation Polar Code Decoder Algorithm","authors":"Arvid B. van den Brink, M. Bekooij","doi":"10.1145/3390525.3390539","DOIUrl":"https://doi.org/10.1145/3390525.3390539","url":null,"abstract":"A vectorized belief propagation polar code decoder is desirable because of the potentially high throughput and the ability of integration in processors that perform vectorized processing and access wide memory words. However, current state-of-the-art belief propagation polar code decoder algorithms do not perform vector processing and store intermediate results in non consecutive memory locations. Also the current state-of-the-art belief propagation polar code decoders require separate memories to store left and right bound intermediate results. In this paper we propose a vectorized in-order in-place belief propagation polar code decoder algorithm where all stages access vectorized data from memory. This results in a high throughput because vectors of elements can be fetched from and stored in memory in each clock cycle. Our algorithm also accommodates for per stage in-place computations which halves the required internal memory. Furthermore, the algorithm has a regular memory addresses access pattern. Conflict free vectorized memory access is achieved by making use of transpose operations on small groups of intermediate results. The use of the transpose operations also results in that both input and output results are placed on subsequent locations in memory.","PeriodicalId":201179,"journal":{"name":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126773549","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: 3

Fatigue Assessment of Bicep Brachii Muscle Using Surface EMG Signals Obtained from Isometric Contraction 利用等长收缩获得的表面肌电信号评估肱二头肌疲劳

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390533

Tripash Bansal, A. Khan

引用次数: 0

Effectiveness of Formative E-assessment Procedure: Learning Calculus In Blended Learning Environment 形成性电子评估程序的有效性:混合学习环境下的微积分学习

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390526

Shiau Foong Wong, M. Mahmud, Shiau San Wong

{"title":"Effectiveness of Formative E-assessment Procedure: Learning Calculus In Blended Learning Environment","authors":"Shiau Foong Wong, M. Mahmud, Shiau San Wong","doi":"10.1145/3390525.3390526","DOIUrl":"https://doi.org/10.1145/3390525.3390526","url":null,"abstract":"Emergence of new educational technologies is changing the way we learn. Online communication acts as one of the crucial internet applications and assets are widely used in higher education in this millennium era. Due to the pressure to adapt to the digital age, educators are striving to learn and equip themselves with the 21st century teaching strategies in order to augment students' experiences. Numerous literatures have established that teaching and learning in blended learning environment leads to the need for suitable and effective assessment practices to be designed to enhance the learning of the students in order to beget positive impacts. On the other hand, there are researches reveal that teacher-centered approach is more effective and better. Since none of the recent studies described the effectiveness of the formative e-assessment to learn calculus in blended learning environment in an American Degree Program, thus, this study is aimed at examining the effectiveness of the formative e-assessment procedure integrated in a blended learning setting by identifying the students' skills and knowledge acquisition for a Calculus course in American Degree Program in Malaysia. The findings indicate that the skills and knowledge acquired by the students are effectively enhanced and consolidated, with learning achievement of over 80% in e-assessment which reflects that the learning outcomes of the course were well achieved.","PeriodicalId":201179,"journal":{"name":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133341928","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

Study on A Navigation System for Visually Impaired Persons based on Egocentric Vision Using Deep Learning 基于自我中心视觉的深度学习视障人士导航系统研究

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390536

Sho Ooi, Takuya Okita, Mutsuo Sano

引用次数: 2

A Fusion Spectrum Sensing Algorithm Using Energy and Eigenvalues 一种基于能量和特征值的融合频谱感知算法

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390541

He Li, Wenjing Zhao, Minglu Jin, S. Yoo

引用次数: 0

Joint Power and Bandwidth Allocation Method Based on Immune Genetic Algorithm for Inter-satellite Links in Beidou Navigation Satellite System 基于免疫遗传算法的北斗卫星导航星间链路功率带宽联合分配方法

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390530

Rui Xue, Cheng Zhao, Huaiyu Tang

{"title":"Joint Power and Bandwidth Allocation Method Based on Immune Genetic Algorithm for Inter-satellite Links in Beidou Navigation Satellite System","authors":"Rui Xue, Cheng Zhao, Huaiyu Tang","doi":"10.1145/3390525.3390530","DOIUrl":"https://doi.org/10.1145/3390525.3390530","url":null,"abstract":"Constructing the navigation constellation with inter-satellite links has become one of the important development trends for the Beidou navigation satellite system. Power and bandwidth are limited, but precious resources are on-board. How to reasonably distribute the two resources among ISLs to attain high channel capacity while considering both energy and operation efficiencies frequently catches the scholars' attention. Considering the insufficient global optimization ability of the greedy algorithm, which leads to a limited energy efficiency performance improvement, an allocation method based on immune genetic algorithm is proposed. This method uses a selection, crossover, and mutation structure to achieve a global search. It also improves the algorithm's convergence speed through an immune structure and achieves the improvement of the system energy efficiency. Simulation results show that the proposed method has achieved a better energy efficiency than the greedy algorithm in MEO scenarios with large service requirements and in GEO scenarios with a large number of links. The total system power consumption has decreased.","PeriodicalId":201179,"journal":{"name":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130508958","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

The Survey of Software Display Technology for General Radar Terminal 通用雷达终端软件显示技术综述

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390532

Zhenkui Miao, Jialin Zhang, Xiangying Kong

引用次数: 0

Modified Roll-off Filter with Optimized Impulse Response for Reducing PAPR of Transmitted Signal 基于优化脉冲响应的改进滚降滤波器降低传输信号的PAPR

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390538

Yuki Fujiya, N. Izuka

引用次数: 1

MOOCs: An Enquiry of Variables and Effect Sizes mooc:对变量和效应大小的探讨

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390527

M. Mahmud, Shiau Foong Wong, M. S. A. Bakar

{"title":"MOOCs: An Enquiry of Variables and Effect Sizes","authors":"M. Mahmud, Shiau Foong Wong, M. S. A. Bakar","doi":"10.1145/3390525.3390527","DOIUrl":"https://doi.org/10.1145/3390525.3390527","url":null,"abstract":"The proliferation of Massive Open Online Courses (MOOCs) is widespread. Debates gyrating the issue have been rather polarizing, with one spectrum presaging it as the forefront of the 21st century education, and another one brushing it off as another hype of a contemporary marketing fad. Nonetheless, the extent of prospect exists in myriad of aspects and pathways, considering the large number of end users and institutions employing MOOCs as an alternative to the existing pedagogic modes. Scalability and open designs in MOOCs create tremendous potential for experimentation with online approach, enabling the expansion and access of higher education to all. Thus, this paper examines the most prevalent dependent variables measured in MOOCs, and the correlation of powerful combined effect sizes with the commissioning of the ascertained MOOCs. Eight samples were included based on their significance and established priori to probe on the in-depth of the treatment effect, in which the magnitude of effect size (ES) for the selected samples were tabulated according to the Cohen's d formula and benchmark (1988; 1992). Majority of the samples tested on the Performance variable (n = 27) as the highest frequency, followed by the Attitude (n = 11), Interaction (n=3) and lastly Satisfaction (n =1), predominantly measured with small effect size. By and large, the combined effect sizes for the eight samples suggest wide-ranging positive repercussions; however, limited to mediating and confounding variables. Thus, further inquiries are requisite to understand the overall functionality.","PeriodicalId":201179,"journal":{"name":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121397024","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

Lightweight Super-resolution Learning Model for Extremely Exposed Images 用于极度曝光图像的轻量级超分辨率学习模型

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390529

Tzu-Hsiu Chen, Chung-Hsun Huang, Y. Chu

{"title":"Lightweight Super-resolution Learning Model for Extremely Exposed Images","authors":"Tzu-Hsiu Chen, Chung-Hsun Huang, Y. Chu","doi":"10.1145/3390525.3390529","DOIUrl":"https://doi.org/10.1145/3390525.3390529","url":null,"abstract":"Video surveillance system adopting wireless sensor network (WSN) becomes more and more popular. To achieve energy efficiency and low transmitting bandwidth, low-cost and low-resolution video camera may be used. However, captured image/video with low resolution may cause information loss; for example, suspicious objects such as a bomb, and emergent events such as fire emergency. Moreover, it is getting deteriorated in case an extremely exposed scene is presented. In this paper, a lightweight learning-based super-resolution (LLBSR) image reconstruction algorithm is proposed for the control center of surveillance system to recover information details from low-resolution images with extremely exposed scenes. The captured video sequences were processed via a simplified difference residual network (DRN) to improve contrast first. Then the pre-processed video sequences were scaled up via a lightweight SR neural network (LSRNN). Experimental results show that the proposed algorithm can achieve a comparable PSNR performance using a simple neural network as compared with a famous prior work with very deep neural network","PeriodicalId":201179,"journal":{"name":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131462395","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