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| 1 | A Hybrid Forecasting Framework Based on Support Vector Regression with a Modified Genetic Algorithm and a Random Forest for Traffic Flow Prediction显示文摘The ability to perform short-term traffic flow forecasting is a crucial component of intelligent transportation systems. However, accurate and reliable traffic flow forecasting is still a significant issue due to the complexity and variability of real traffic systems. To improve the accuracy of short-term traffic flow forecasting, this paper presents a novel hybrid prediction framework based on Support Vector Regression(SVR) that uses a Random Forest(RF) to select the most informative feature subset and an enhanced Genetic Algorithm(GA) with chaotic characteristics to identify the optimal forecasting model parameters. The framework is evaluated with real-world traffic data collected from eight sensors located near the I-605 interstate highway in California. Results show that the proposed RFCGASVR model achieves better performance than other methods. | Lizong Zhang Nawaf R Alharbe Guangchun Luo Zhiyuan Yao Ying Li | 2018 | Tsinghua Science and Technology2018，23，4： | 19 |
| 2 | Location Prediction on Trajectory Data: A Review显示文摘Location prediction is the key technique in many location based services including route navigation, dining location recommendations, and traffic planning and control, to mention a few. This survey provides a comprehensive overview of location prediction, including basic definitions and concepts, algorithms, and applications. First, we introduce the types of trajectory data and related basic concepts. Then, we review existing location-prediction methods, ranging from temporal-pattern-based prediction to spatiotemporal-pattern-based prediction. We also discuss and analyze the advantages and disadvantages of these algorithms and briefly summarize current applications of location prediction in diverse fields. Finally, we identify the potential challenges and future research directions in location prediction. | Ruizhi Wu Guangchun Luo Junming Shao Ling Tian Chengzong Peng | 2018 | Big Data Mining and Analytics2018，1，2： | 5 |
| 3 | Noise Reduction for Images with Non-uniform Noise Using Adaptive Block Matching 3D Filtering显示文摘Noise reduction is a very important topic in image processing. We propose a new method to deal with the case where the noisy image has different noise levels in different regions. The main idea is to segment automatically the noisy image into several sub-images so that each sub-image has approximately the same noise level. We perform Block matching 3D filtering(BM3D) to these subimages in order to obtain denoised sub-images. We then merge sub-images together and enhance the discontinuous regions between the sub-images by performing BM3D again on small image patches. Our experimental results show the effectiveness of this proposed method in terms of Peak signal to noise ratio(PSNR) when compared with the bivariate wavelet shrinkage and the standard BM3D method. In addition to Gaussian white noise, our method performs better than the bivariate wavelet shrinkage and the standard BM3D method even for signal dependent noise. | CHEN Guangyi LUO Guangchun TIAN Ling CHEN Aiguo | 2017 | Chinese Journal of Electronics2017，26，6： | 4 |
| 4 | Compressive and energy absorption properties of closed-cell magnesium foams显示文摘The quasi-static compressive mechanical behavior and deformation mechanism of closed-cell magnesium foams were studied,and the effects of the density of magnesium foams on the compressive and energy absorption properties were also discussed.The results show that the compressive process of closed-cell magnesium foams is characterized by three deformation stages:linear elastic stage,collapsing stage and densification stage.At the linear elastic stage,the peak compressive strength(σ0) and Young's modulus(E0) increase as the density increases.Magnesium foams can absorb energy at the collapsing stage.In a certain strain range,the energy absorption capacity also increases as the density of magnesium foams increases. | JI Haibin,YAO Guangchun,LUO Hongjie,ZU Guoyin,and LIU Letian School of Material and Metallurgy,Northeastern University,Shenyang 110004,China | 2010 | Rare Metals2010，29，4： | 3 |
| 5 | Cloud Computing,Fog Computing, and Dew Computing显示文摘SOctober 2017 Vol.15 No. 4 ZTE COMMUNICATIONS 01ince the first computer was invented in 1946, a few major mile?stones have stood along the way of Information Technology’s development. Among them, most notable ones are personal computers (PC), the Internet, World Wide Web (WWW), and cloud computing. Cloud computing has drastically changed the landscape of IT industry by providing some major benefits to IT customers: eliminating upfront IT investment, scalability, proportional costs, and so on. In addition, cloud computing also prompts new challenges and brings in new progress. However, the delaysensitive applications face the problem of large latency, especially when several smart devices are getting involved. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. | PAN Yi LUO Guangchun | 2017 | ZTE Communications2017，15，4： | 1 |
| 6 | A chrome-free conversion coating for magnesium-lithi-um alloy by a phosphate-permanganate solution 显示文摘 | Zhang Hua Yao Guangchun Wang Shulan Liu Yihan Luo Hongjie | 2008 | Surface & Coatings Technology2008，202，9： | 1 |
| 7 | The identification, typing, and antimicrobial susceptibility of Pseudomonas aeruginosa isolated from mink with hemorrhagic pneumonia显示文摘 | Jing Qi Lulu Li Yijun Du Shourong Wang Jinwen Wang Yanbo Luo Jie Che Jinxing Lu Hui Liu Guangchun Hu Jixia Li Yanwen Gong Guisheng Wang Ming Hu ShiganYan Yuqing Liu | 2014 | Veterinary Microbiology2014，，： | 1 |
| 8 | Transfer lear- ning for cross-company software defect prediction 显示文摘 | Ma Ying Luo Guangchun Zeng Xue | 2012 | Infor- mation and Software Technology2012，54，3： | 1 |
| 9 | Influence of Mg Addition on Graphite Particle Distribution in the Al Alloy Matrix Composites显示文摘Al alloy matrix composites reinforced with copper-coated graphite particle have been prepared by melt stirring process in this work.The effect of the addition of Mg on distribution of the graphite particles has been investigated.Scanning electron microscopy (SEM) was used to observe the micro-morphology of Al alloy matrix composites reinforced with graphite particles.Meanwhile,the content of graphite was analyzed in the different position of casting by dissolution method and the mechanical properties of the composites were detected.The results show that the content of graphite increase with increasing Mg content;the graphite particles distribute uniformly in the particle reinforced metal matrix composites (PMMC) with 0.6 wt pct Mg;however,the agglomeration of the graphite particles is observed obviously in the matrix when Mg content is more than 1.0 wt pct.In addition,the proper Mg addition amount is beneficial to enhance the mechanical properties of the graphite particles reinforced Al alloy matrix composites and the abrasion resistance of the materials due to a reduce friction coefficient. | Zhengang Liu,Guoyin Zu,Hongjie Luo,Yihan Liu and Guangchun Yao School of Materials & Metallurgy,Northeastern University,Shenyang 110004,China | 2010 | Journal of Materials Science & Technology2010，26，3： | 1 |
| 10 | Active block layout: a high performance disk layout mechanism显示文摘 | LUO Guangchun ZHANG Jun LU Xiangliang | 2003 | Operating Systems Review2003，12，4： | 1 |
| 11 | Locationaware social routing in delay tolerant networks显示文摘 | Luo Guangchun Zhang Junbao Qin Ke | 2012 | IEICE Transactions on Communications2012，95，5： | 1 |
| 12 | Disseminating Authorized Content via Data Analysis in Opportunistic Social Networks显示文摘Authorized content is a type of content that can be generated only by a certain Content Provider(CP).The content copies delivered to a user may bring rewards to the CP if the content is adopted by the user. The overall reward obtained by the CP depends on the user's degree of interest in the content and the user's role in disseminating the content copies. Thus, to maximize the reward, the content provider is motivated to disseminate the authorized content to the most interested users. In this paper, we study how to effectively disseminate the authorized content in Interest-centric Opportunistic Social Networks(IOSNs) such that the reward is maximized.We first derive Social Connection Pattern(SCP) data to handle the challenging opportunistic connections in IOSNs and statistically analyze the interest distribution of the users contacted or connected. The SCP is used to predict the interests of possible contactors and connectors. Then, we propose our SCP-based Dissemination(SCPD)algorithm to calculate the optimum number of content copies to disseminate when two users meet. Our dataset based simulation shows that our SCPD algorithm is effective and efficient to disseminate the authorized content in IOSNs. | Chenguang Kong Guangchun Luo Ling Tian Xiaojun Cao | 2019 | Big Data Mining and Analytics2019，2，1： | 1 |
| 13 | A chrome-free conversion coating for magnesium–lithium alloy by a phosphate–permanganate solution显示文摘 | Hua Zhang Guangchun Yao Shulan Wang Yihan Liu Hongjie Luo | 2007 | Surface & Coatings Technology2007，，9： | 1 |
| 14 | HCOS:A Unified Model and Architecture for Cloud Operating System显示文摘Currently, Infrastructure as a Service(IaaS) and Platform as a Service(PaaS) platforms play a role as a cloud operating system(COS).They are separated from each other in resource management,which may cause inconsistent resource status and result in the decrease of performance. Moreover, heterogeneous resources are not managed well in existing cloud computing platforms. Referring to the theory of operating system, we propose a unified architecture model of cloud operating system, which has six layers corresponding to the layered architecture of legacy operating system. Based on this architecture, a new cloud operating system called Hua-Cloud Computing System(HCOS) is realized. In HCOS, the hybrid resources are managed in a unified way. This method improves the unified scheduling capability of heterogeneous resources and eliminates the problem of resource status inconsistency.The main characteristics of HCOS are introduced and two typical applications are illustrated in this paper. | CHEN Aiguo WU Huaigu TIAN Ling LUO Guangchun | 2017 | ZTE Communications2017，15，4： | 0 |
| 15 | Cross-Dimension Attentive Feature Fusion Network for Unsupervised Time-Series Anomaly Detection显示文摘Time series anomaly detection is crucial in various industrial applications to identify unusual behaviors within the time series data.Due to the challenges associated with annotating anomaly events,time series reconstruction has become a prevalent approach for unsupervised anomaly detection.However,effectively learning representations and achieving accurate detection results remain challenging due to the intricate temporal patterns and dependencies in real-world time series.In this paper,we propose a cross-dimension attentive feature fusion network for time series anomaly detection,referred to as CAFFN.Specifically,a series and feature mixing block is introduced to learn representations in 1D space.Additionally,a fast Fourier transform is employed to convert the time series into 2D space,providing the capability for 2D feature extraction.Finally,a cross-dimension attentive feature fusion mechanism is designed that adaptively integrates features across different dimensions for anomaly detection.Experimental results on real-world time series datasets demonstrate that CAFFN performs better than other competing methods in time series anomaly detection. | Rui Wang Yao Zhou Guangchun Luo Peng Chen Dezhong Peng | 2024 | Computer Modeling in Engineering & Sciences2024，139，6： | 0 |
| 16 | Denoising Graph Inference Network for Document-Level Relation Extraction显示文摘Relation Extraction(RE)is to obtain a predefined relation type of two entities mentioned in a piece of text,e.g.,a sentence-level or a document-level text.Most existing studies suffer from the noise in the text,and necessary pruning is of great importance.The conventional sentence-level RE task addresses this issue by a denoising method using the shortest dependency path to build a long-range semantic dependency between entity pairs.However,this kind of denoising method is scarce in document-level RE.In this work,we explicitly model a denoised document-level graph based on linguistic knowledge to capture various long-range semantic dependencies among entities.We first formalize a Syntactic Dependency Tree forest(SDT-forest)by introducing the syntax and discourse dependency relation.Then,the Steiner tree algorithm extracts a mention-level denoised graph,Steiner Graph(SG),removing linguistically irrelevant words from the SDT-forest.We then devise a slide residual attention to highlight word-level evidence on text and SG.Finally,the classification is established on the SG to infer the relations of entity pairs.We conduct extensive experiments on three public datasets.The results evidence that our method is beneficial to establish long-range semantic dependency and can improve the classification performance with longer texts. | Hailin Wang Ke Qin Guiduo Duan Guangchun Luo | 2023 | Big Data Mining and Analytics2023，6，2： | 0 |
| 17 | Single-Atom Ce-N_(4)-C-(OH)_(2)Nanozyme-Catalyzed Cascade Reaction to Alleviate Hyperglycemia显示文摘The enzyme-mimicking catalytic activity of single-atom nanozymes has been widely used in tumor treatment.However,research on alleviating metabolic diseases,such as hyperglycemia,has not been reported.Herein,we found that the single-atom Ce-N_(4)-C-(OH)_(2)(SACe-N_(4)-C-(OH)_(2))nanozyme promoted glucose absorption in lysosomes,resulting in increased reactive oxygen species production in HepG2 cells.Furthermore,the SACe-N_(4)-C-(OH)_(2)nanozyme initiated a cascade reaction involving superoxide dismutase-,oxidase-,catalase-,and peroxidase-like activity to overcome the limitations associated with the substrate and produce•OH,thus improving glucose intolerance and insulin resistance by increasing the phosphorylation of protein kinase B and glycogen synthase kinase 3β,and the expression of glycogen synthase,promoting glycogen synthesis to improve glucose intolerance and insulin resistance in high-fat diet-induced hyperglycemic mice.Altogether,these results demonstrated that the novel nanozyme SACeN_(4)-C-(OH)_(2)alleviated the effects of hyperglycemia without evident toxicity,demonstrating its excellent clinical application potential. | Guangchun Song Jia Xu Hong Zhong Qi Zhang Xin Wang Yitong Lin Scott PBeckman Yunbo Luo Xiaoyun He Jin-Cheng Li Kunlun Huang Nan Cheng | 2023 | Research2023，，4： | 0 |
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