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RFID Reader Planning for the Surveillance of Predictable Mobile Objects

Procedia computer science 2018年 129卷 475-481页

作者： Weiping Zhu Mingzhe Li School of Computer Science Wuhan University P.R. China State Key Lab. for Novel Software Technology Nanjing University P.R. China

The surveillance of mobile objects is important for many applications in public security, logistics, traffic control, etc. Multiple RFID (Radio frequency identification) readers can be placed in the given region to fulfill this work. However, due to the mobility of objects and various kinds of RFID collisions, a proper planning of RFID readers is needed. Existing RFID reader planning approaches are designed for stationary scenarios and hence cannot have desirable performance when handling mobile objects. In this paper, we investigate the RFID reader planning problem for the surveillance of mobile objects whose motion can be predicted. We define the evaluation metric for the reader planning by dividing the surveillance time into multiple time slots and compute the successful identification of tags in individual time slot respectively. We further propose several reader planning strategies to handle RFID collisions in the surveillance. Genetic algorithm and particle swarm optimization are used to get the optimal result based on the evaluation metric and the reader planning strategies. We perform extensive simulations for validating the proposed approaches. The results show that our approach can achieve a good accuracy in the surveillance.

关键词： RFID Surveillance Reader Planning Mobile Objects Predictable

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MobiCrowd: Mobile Crowdsourcing on Location-based Social Networks

MobiCrowd: Mobile Crowdsourcing on Location-based Social Net...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Yulong Tian Wei Wei Qun Li Fengyuan Xu Sheng Zhong State Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science College of William and Mary USA

ISBN: (纸本)9781538641293

The great potential of mobile crowdsourcing has started to attract attention of both industries and the research community. However, current commercial mobile crowdsourcing marketplaces are unsatisfactory because of the limited worker base and functionality. In this paper, we first revisit the foundation of performing mobile crowdsourcing on location-based social networks (LBSNs) through specially designed survey studies and comparison experiments involving hundreds of users. Our results reveal that active check-ins are good indicators of picking a right user to perform tasks, and LBSN could be an ideal platform for mobile crowdsourcing given proper services provided. We then propose both the centralized and decentralized design of MobiCrowd, a mobile crowdsourcing service built on LBSNs. Our evaluation, through trace-driven simulation and real-world experiments, demonstrates that the proposed schemes can effectively find workers for mobile crowdsourcing tasks associated with different venues by analyzing their location check-in histories.

关键词： Task analysis Crowdsourcing Facebook Conferences Sensors History

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Design and Characterization of Hydroxyapatite Scaffolds Fabricated by Stereolithography for Bone Tissue Engineering Application

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Procedia CIRP 2020年 89卷 170-175页

作者： Zhen Wang Chuanzhen Huang Jun Wang Bin Zou Ch Asad Abbas Xiaodan Wang Centre for Advanced Jet Engineering Technology (CaJET) Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education) School of Mechanical Engineering Shandong University Jinan 250061 P.R. China National Demonstration Centre for Experimental Mechanical Engineering Education (Shandong University) School of Mechanical Engineering Shandong University Jinan 250061 P.R. China School of Mechanical and Manufacturing Engineering The University of New South Wales (UNSW) Sydney NSW 2052 Australia Department of Computer Science and Software Engineering Xi’an Jiaotong-Liverpool University Suzhou 215123 China

In this study, a novel method to design hydroxyapatite scaffold based on gradient porosity was proposed. Additionally, after a tailor-made ceramic suspension was cured by stereolithography (SLA), a minimal pore with a diameter size of 500μm can be fabricated, and it has a high dimension precision up to about 60μm. The compression test showed that the scaffolds had an effective elastic modulus ranging from 2.4GPa to 5.9GPa, which could match with the cancellous bone well. Moreover, in-vitro experiments demonstrated that this hydroxyapatite bioceramic scaffold was compatible with bone marrow mesenchymal stem cells (BMSCs) and showed good effect on cell proliferation.

关键词： Bone Scaffold Bioceramic Stereolithography Gradient Porosity

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Improving software Testing Education via Industry Sponsored Contests

Improving Software Testing Education via Industry Sponsored ...

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Frontiers in Education (FIE) Conference

作者： W. Eric Wong Linghuan Hu Haoliang Wang Zhenyu Chen Department of Computer Science University of Texas at Dallas USA State Key Laboratory for Novel Software Technology Nanjing University China

ISBN: (纸本)9781538611753;9781538611746

This Innovative Practice, Work in Progress Paper presents how we improve software testing education via industry sponsored contests. Over the past decades, we have built software to improve our efficiency, reliability, and safety in production, business, daily life, etc. These goals, however, cannot be accomplished if the software is not properly tested. Some universities provide classes to teach students the fundamental knowledge and techniques of software testing. However, these classes often ignore industry practices and can hardly offer real-world testing experiences to students. To address this, we partnered with industry sponsors to design and host several software testing contests along with software testing tutorials. Through the contests and tutorials, we brought real-world testing and tool experience to the students and provided excellent opportunities for them to practice their learned testing techniques to overcome industry testing challenges.

关键词： software software testing Industries Tools computer bugs Education

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RPC: Joint Online Reducer Placement and Coflow Bandwidth Scheduling for Clusters

RPC: Joint Online Reducer Placement and Coflow Bandwidth Sch...

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International Conference on Network Protocols

作者： Yangming Zhao Chen Tian Jingyuan Fan Tong Guan Chunming Qiao Department of Computer Science and Engineering The State University of New York State Key Laboratory for Novel Software Technology Nanjing University

Reducing Coflow Completion Time (CCT) has a significant impact on application performance in data-parallel frameworks. Most existing works assume that the endpoints of constituent flows in each coflow are predetermined. We argue that CCT can be further optimized by treating flows' destinations as an additional optimization dimension via reducer placement. In this paper, we propose and implement RPC, a joint online Reducer Placement and Coflow bandwidth scheduling framework, to minimize the average CCT in cloud clusters. We first develop a 2-approximation algorithm to minimize the CCT of a single coflow, then schedule all the coflows following the Shortest Remaining Time First (SRTF) principle. We use a real testbed implementation and extensive large-scale simulations to demonstrate that RPC can reduce the average CCT by 64.98% compared with state-of-the-art technologies.

关键词： Bandwidth Task analysis Schedules Optimal scheduling Data transfer Data centers

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CariGAN: Caricature generation through weakly paired adversarial learning

arXiv

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arXiv 2018年

作者： Li, Wenbin Xiong, Wei Liao, Haofu Huo, Jing Gao, Yang Luo, Jiebo State Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science University of Rochester United States

Caricature generation is an interesting yet challenging task. The primary goal is to generate a plausible caricature with reasonable exaggerations given a face image. Conventional caricature generation approaches mainly use low-level geometric transformations such as image warping to generate exaggerated images, which lack richness and diversity in terms of content and style. The recent progress in generative adversarial networks (GANs) makes it possible to learn an image-to-image transformation from data so as to generate diverse output images. However, directly applying GAN-based models to this task leads to unsatisfactory results due to the large variance in the caricature distribution. Moreover, some models require pixel-wisely paired training data which largely limits their usage scenarios. In this paper, we model caricature generation as a weakly paired image-to-image translation task, and propose Cari-GAN to address these issues. Specifically, to enforce reasonable exaggeration and facial deformation, facial landmarks are adopted as an additional condition to constrain the generated image. Furthermore, an image fusion mechanism is designed to encourage our model to focus on the key facial parts so that more vivid details in these regions can be generated. Finally, a diversity loss is proposed to encourage the model to produce diverse results to help alleviate the "mode collapse" problem of the conventional GAN-based models. Extensive experiments on a large-scale "WebCaricature" dataset show that the proposed CariGAN can generate more plausible caricatures with larger diversity compared with the state-of-the-art models. Copyright © 2018, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Corrigendum to “3D shape segmentation via shape fully convolutional networks” [computers & Graphics 70 (2018) 128–139]

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computers and Graphics (Pergamon) 2018年 76卷 181-181页

作者： Wang, Pengyu Gan, Yuan Shui, Panpan Yu, Fenggen Zhang, Yan Chen, Songle Sun, Zhengxing State Key Lab for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210023 China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education College of Internet of Things Nanjing University of Posts and Telecommunications Nanjing210003 China

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AIM 2020 challenge on efficient super-resolution: Methods and results

arXiv

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arXiv 2020年

作者： Zhang, Kai Danelljan, Martin Li, Yawei Timofte, Radu Liu, Jie Tang, Jie Wu, Gangshan Zhu, Yu He, Xiangyu Xu, Wenjie Li, Chenghua Leng, Cong Cheng, Jian Wu, Guangyang Wang, Wenyi Liu, Xiaohong Zhao, Hengyuan Kong, Xiangtao He, Jingwen Qiao, Yu Dong, Chao Luo, Xiaotong Chen, Liang Zhang, Jiangtao Suin, Maitreya Purohit, Kuldeep Rajagopalan, A.N. Li, Xiaochuan Lang, Zhiqiang Nie, Jiangtao Wei, Wei Zhang, Lei Muqeet, Abdul Hwang, Jiwon Yang, Subin Kang, JungHeum Bae, Sungho Kim, Yongwoo Chen, Liang Zhang, Jiangtao Luo, Xiaotong Qu, Yanyun Jeon, Geun-Woo Choi, Jun-Ho Kim, Jun-Hyuk Lee, Jong-Seok Marty, Steven Marty, Eric Xiong, Dongliang Chen, Siang Zha, Lin Jiang, Jiande Gao, Xinbo Lu, Wen Wang, Haicheng Bhaskara, Vineeth Levinshtein, Alex Tsogkas, Stavros Jepson, Allan Kong, Xiangzhen Zhao, Tongtong Zhao, Shanshan Hrishikesh, P.S. Puthussery, Densen Jiji, C.V. Nan, Nan Liu, Shuai Cai, Jie Meng, Zibo Ding, Jiaming Ho, Chiu Man Wang, Xuehui Yan, Qiong Zhao, Yuzhi Chen, Long Zhang, Jiangtao Luo, Xiaotong Chen, Liang Qu, Yanyun Sun, Long Wang, Wenhao Liu, Zhenbing Lan, Rushi Umer, Rao Muhammad Micheloni, Christian Computer Vision Lab ETH Zurich Switzerland State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China MAICRO China University of Electronic Science and Technology of China China McMaster University Canada Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Xiamen University China Indian Institute of Technology Madras India Nanjing University of Aeronautics and Astronautics Nanjing China School of Computer Science Northwestern Polytechnical University China Kyung Hee University Korea Republic of Sang Myung University Korea Republic of Xianmen University China Yonsei University Korea Republic of ETH Zurich Switzerland Zhejiang University China Qingdao Hi-image Technologies Co. Ltd [Hisense Visual Technology Co.Ltd. China Xidian University China Samsung AI Centre Toronto Canada Dalian Maritime University China China Everbright Bank Co. Ltd China College of Engineering Trivandrum India InnoPeak Technology Inc. United States SenseTime Research Hong Kong Sun Yat-sen University China City University of Hong Kong Hong Kong Guilin University of Electronic Technology Guilin541004 China University of Udine Italy

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor ×4 based on a set of prior examples of low and corresponding high resolution images. The goal is to devise a network that reduces one or several aspects such as runtime, parameter count, FLOPs, activations, and memory consumption while at least maintaining PSNR of MSRResNet. The track had 150 registered participants, and 25 teams submitted the final results. They gauge the state-of-the-art in efficient single image super-resolution. Copyright © 2020, The Authors. All rights reserved.

关键词： Optical resolving power

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Community-aware Photo Quality Evaluation by Deeply Encoding Human Perception

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IEEE Transactions on Multimedia 2019年

作者： Wang, Zepeng Li, Ping Zhang, Luming Shao, Ling Department of CSIE Hefei University of Technology Hefei China. School of Computer Science and Technology Hangzhou Dianzi University Hangzhou 310018 China and also with the State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210023 China. College of Computer Sciences Zhejiang University Hangzhou China. Abu Dhabi United Arab Emirates. He is also with the School of Computing Sciences University of East Anglia Norwich UK.

Computational photo quality evaluation is a useful technique in many tasks of computer vision and graphics, $e.g.$, photo retaregeting, 3D rendering, and fashion recommendation. Conventional photo quality models are designed by characterizing pictures from all communities ($e.g.$, “architecture” and “colorful”) indiscriminately, wherein community-specific features are not encoded explicitly. In this work, we develop a new community-aware photo quality evaluation framework. It uncovers the latent community-specific topics by a regularized latent topic model (LTM), and captures human visual quality perception by exploring multiple attributes. More specifically, given massive-scale online photos from multiple communities, a novel ranking algorithm is proposed to measure the visual/semantic attractiveness of regions inside each photo. Meanwhile, three attributes: photo quality scores, weak semantic tags, and inter-region correlations, are seamlessly and collaboratively incorporated during ranking. Subsequently, we construct gaze shifting path (GSP) for each photo by sequentially linking the top-ranking regions from each photo, and an aggregation-based deep CNN calculates the deep representation for each GSP. Based on this, an LTM is proposed to model the GSP distribution from multiple communities in the latent space. To mitigate the overfitting problem caused by communities with very few photos, a regularizer is added into our LTM. Finally, given a test photo, we obtain its deep GSP representation and its quality score is determined by the posterior probability of the regularized LTM. Comprehensive comparative studies on four image sets have shown the competitiveness of our method. Besides, eye tracking experiments demonstrated that our ranking-based GSPs are highly consistent with real human gaze movements. IEEE

关键词： Eye tracking

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Web Services: Problems and Future Directions

SSRN

引用

SSRN 2018年

作者： Wang, Hongbing Huang, Joshua Zhexue Qu, Yuzhong Xie, Junyuan Department of Computer Science and Technology Nanjing University Nanjing210093 China National Key Laboratory for Novel Software Technology E-Business Technology Institute The University of Hong Kong Hong Kong Hong Kong

Recently, Web services have generated great interests in both vendors and researchers. Web services, based on existing Internet protocols and open standards, can provide a flexible solution to the problem of application integration. With the help of WSDL, SOAP, and UDDI, Web services are becoming popular in Web applications. However, the current Web services architectures are confronted with a few stubborn problems, for instance, security. In this paper, we shall give an overview of these problems. We believe that solving these problems will become crucial to success of Web services. In the end, we predict distinct advances in semantic Grid services. © 2018, The Authors. All rights reserved.

关键词： Semantics

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