An Iterative Space Alternative Tiling Parallel Algorithm for 3D Finite Difference Stencil Computations

Jing Shen,Jilin Zhang,Jian Wan,Li Zhou,Ming Jiang 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.6

Stencils are finite-difference algorithms for solving large-scale and high-dimension partial differential equations. Due to the data dependences among the iterative statements in Stencils, traditional Stencil computations are be executed serially, rather than in parallel. It’s challenging to design an effective and scalable Stencil parallelized method. To address the issue of 3D data space computing, we present a serial execution model based on multi-layers symmetric Stencil method and time skewing techniques. Within this model, the iteration space is divided to multiple tiles based on time skewing, where the executive process is ordered by the sequence of tiles, and the nodes in each individual tile can be swept repeatedly to improve the data locality. In addition, we propose a novel 3D iterative space alternate tiling Stencil parallel method, which subdivides the iteration space along high dimension, and changes the execution sequence of tiles to reduce the data dependency and communication cost, where the partial order of tiles is still guaranteed. Experimental results demonstrate our proposed alternative tiling parallel method achieves better parallel efficiency and scalability compared with the domain-decomposition methods.

QTBiCGSTAB Algorithm for Large Linear Systemand Parallelized

Xiaomei Xu,Jilin Zhang,Jian Wan,Li Zhou,Ming Jiang 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.6

According to the traditional stabilized biconjugate gradient algorithm (BiCGSTAB) deficiency in data locality, this paper proposed a QTBiCGSTAB algorithm whose core idea is that recursively divides sparse matrix with quarter tree into sub-matrix and reorders them, to improve the hit ratio of cache and enhance the algorithm’s efficiency. And the idea is good for algorithm being parallized, that is proved by the numerical experiments later. It mainly shows, firstly, QTBiCGSTAB algorithm is more efficiency than BiCGSTAB, and the speedup would reach 1:330. The target division length would be influnced on the algorithm’s performance; Secondly, for large linear system, parallized QTBiCGSTAB is more efficiency than serial’s.

A Hydrogel-based First-Aid Tissue Adhesive with Effective Hemostasis and Anti-bacteria for Trauma Emergency Management

Dongjie Zhang,Li Mei,Yuanping Hao,Bingcheng Yi,Jilin Hu,Danyang Wang,Yaodong Zhao,Zhe Wang,Hailin Huang,Yongzhi Xu,Xuyang Deng,Cong Li,Xuewei Li,Qihui Zhou,Yun Lu 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Background Clinical tissue adhesives remain some critical drawbacks for managing emergency injuries, such as inadequate adhesive strength and insufficient anti-infection ability. Herein, a novel, self-healing, and antibacterial carboxymethyl chitosan/polyaldehyde dextran (CMCS/PD) hydrogel is designed as the first-aid tissue adhesive for effective trauma emergency management. Methods We examined the gel-forming time, porosity, self-healing, antibacterial properties, cytotoxicity, adhesive strength, and hemocompatibility. Liver hemorrhage, tail severance, and skin wound infection models of rats are constructed in vivo, respectively. Results Results demonstrate that the CMCS/PD hydrogel has the rapid gel-forming (~ 5 s), good self-healing, and effective antibacterial abilities, and could adhere to tissue firmly (adhesive strength of ~ 10 kPa and burst pressure of 327.5 mmHg) with excellent hemocompatibility and cytocompatibility. This suggests the great prospect of CMCS/ PD hydrogel in acting as a first-aid tissue adhesive for trauma emergency management. The CMCS/PD hydrogel is observed to not only achieve rapid hemostasis for curing liver hemorrhage and tail severance in comparison to commercial hemostatic gel (Surgiflo ®) but also exhibit superior anti-infection for treating acute skin trauma compared with clinical disinfectant gel (Prontosan ®). Conclusions Overall, the CMCS/PD hydrogel offers a promising candidate for first-aid tissue adhesives to manage the trauma emergency. Because of the rapid gel-forming time, it could also be applied as a liquid first-aid bandage for mini-invasive surgical treatment.

Paleostress reconstructions and stress regimes in the Nanchuan region of Sichuan Basin, South China: implications for hydrocarbon exploration

Wei Ju,Jilin Wang,Huihuang Fang,Yunpeng Gong,Shanjin Zhang 한국지질과학협의회 2017 Geosciences Journal Vol.21 No.4

The Longmaxi shales are the major hydrocarbon source rocks for Sichuan Basin and adjacent regions in China. Tectonic stress field is important in controling the migration and accumulation of shale gas. In the present study, natural fractures in the Nanchuan region of Sichuan Basin were extensively studied and analyzed with the Rotational Optimization Method (ROM) to reconstruct paleostress fields and their transformation processes. The dominant strikes of natural fractures were in the NW-SE, NESW, NWW-SEE and NEE-SWW directions with high-angle oblique or vertical (70~90°) dip angles. Paleostress reconstructions indicated that the Late Yanshanian and Late Himalayan stress fields controlled the tectonics in the Nanchuan region. The orientation of the maximum principal stress (σ1) during the Late Yanshanian and Late Himalayan period was ~NW-SE and ~NE-SW trending, respectively. In addition, the majority of stress regimes during the two tectonic stages were strike-slip regimes (SS). Remote effects of the westward subduction of the paleo-Pacific plate activated the Xuefengshan tectonic zone and generated the Late Yanshanian paleostress field. Later, the change in the stress field was due to the variation of tectonic activity intensity in the Xuefengshan and Dabashan tectonic zones. The paleotectonic stress fields and their transformation processes comprehensively influenced the migration and accumulation of hydrocarbons in the Nanchuan region.

Cross-domain Recommendation by Combining Feature Tags with Transfer Learning

Yuyu Yin,Xin Wang,Jilin zhang,Jian Wan 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.10

Most recommender systems based on collaborative filtering aim to provide recommendations for a user in one domain. But data sparsity is a major problem for collaborative filtering techniques. Recently, many scholars have proposed recommendation models to alleviate the sparsity problem by transferring rating matrix in other domains. But different domains have different rating scales (e.g., rating scale may be 1-5 or 1-10). Simple process for the rating scale does not reflect the real situation. The diversity of rating scales may cause the opposite effect, making the recommendation results more imprecise. In this paper, we propose a transfer model which learning the common feature tags from other domain. This model ignores the difference of rating scales between two domains, and focus on studying the feature tags. Using its own rating values to fill the missing value. We first get the different types of users (items) based on non-negative matrix tri-factorization from auxiliary domain. The process we call the user (item) clustering. Than we can get a BP neural network which can judge the type of user according to user's feature tags by studying the features of different types of users (items). And we classify the user (items) which from target domain by exploiting the trained neural network and the users’ feature tags of target domain. Use the average rating values of the same type of users (items) to fill the missing value of target domain. We perform extensive experiments to show that our proposed model outperforms the state-of-the-art CF methods for the cross-domain recommendation task.

Research and Implementation of Distributed Disaster Recovery System Based on PRS Algorithm

Jian Wan,Huijia Xuan,Jilin Zhang 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.3

Autonomous Migration of Virtual Machine Based on OpenStack

Li Zhou,Zhuoer Yu,Jilin Zhang,Jian Wan,Yusen Wu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8

For the problem of compute nodes load unbalance leads to the overload node impact VM performance and the underload node waste electrical energy. Dynamic VM consolidation is an efficient approach for improving the utilization of servers and reducing energy costs. In this paper, we introduce dynamic consolidation into OpenStack and implement AMVM based on OpenStack. AMVM collect and analyze all performance data of VM and compute node in OpenStack. Then AMVM automatically schedules VM live migrate to the most appropriate node according to the real-time load of all compute nodes. Then we use hybrid-copy instead of pre-copy in AMVM to improve the efficiency of VM live migration. Finally, we analyze the performance of hybrid-copy, hybrid-copy can reduce page faults compared with post-copy and reduce total data transferred compared with pre-copy.

基于新型冠状病毒疫情背景下的中国电子商务行业发展研究

张,昱昊(Yuhao Zhang),徐吉霖(Jilin Xu) 동아시아무역학회 2020 Journal of East Asian Trade(JEAT) Vol.2 No.2

本研究的目的是分析新冠状病毒肺炎疫情对中国电子商务行业的影响,并针对研究提出合理的经营策略,为中国电子商务的未来发展提出参考性建议。本研究的研究方法主要是以文献数据为主,对电子商务的相关文献和数据进行分析。根据本研究的研究结果得知依靠网络通信技术的电子商务已经逐渐发展成熟稳定,但随着新冠状病毒肺炎疫情的扩散,电子商务出现了供应链断裂和资金链短缺等问题。本研究的意义在于对新冠疫情下电商行业制定积极有效的措施促进电商行业的可持续发展。 但在本研究的研究过程中发现根据电商企业规模的不同,受新冠状病毒肺炎疫情的影响也不同,所以后续研究中以中国中小型电商企业为调查对象进行问卷调查,根据数据反馈找出疫情对电商企业的影响,作为本研究数据补充。 Purpose - The purpose of this study is to analyze the impact of the COVID-19 on China’s e-commerce industry, and to put forward reasonable management strategies for the future development of e-commerce in China. Design/Methodology/Approach -The research method of this study is mainly based on literature data, and analyzes the relevant literature and data of electronic commerce. Findings - According to the research results of this study, it is known that e-commerce relying on network communication technology has gradually developed mature and stable, but with the spread of COVID-19, e-commerce has problems such as supply chain breakage and shortage of capital chain. Research Implications - In the management of this paper, this study is of great significance to the development of e-commerce in China in the future.

Analyzing the Impact of the Internet on Higher Education

Renjie Zhou,Dongchen Xia,Yuyu Yin,Jilin Zhang,Wei Zhang,Jin Feng 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.6

The Internet has gone deeply into nowadays college students’ life, and has become an important platform for students to study, entertainment, and build social relationships. In this paper, we study the patterns of how college students use the Internet, and analyze the potential impacts of Internet on the living and education of college students. We find that 95% of college students spend more than two hours online per day. Academic and career development is the top motivation for college students to use the Internet. However, high percentage of the college students is not able to control their usage of the Internet well, which leading to recognition that the Internet is a negative factor that affects their course performance. The findings are helpful for educators to guide students to use Internet in a reasonable way and to find ways to make the Internet to be conducive to high quality of higher education.

The View Growth Pattern of User Generated Videos on YouTube

Renjie Zhou,Dongchen Xia,Yuyu Yin,Jilin Zhang,Wei Zhang 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.6

With the rapid development of social media, video sharing sites like YouTube are getting more and more attention. Discovering the view growth pattern have become interesting topics for researchers as well as advertisers, media companies. In this paper, we analyze two aspects about video view growth pattern of YouTube videos. Firstly, the pattern of aggregated view is studied. It is found that the aggregated view rate peaks in the first few days, and falls quickly in the following days, and then decrease slowly during the consecutive weeks. Finally, the view rate tends to be a constant on the long run. The aggregated view count after a period of two months can be fitted with a linear line. Secondly, the view growth pattern of individual video is explored. The results indicate that the majority of videos peak at the very beginning of videos’ lifetime, and the category of view sources causes the peak is different. The view count of individual video and the view count from each source item also stabilize after a period of two months, and we finally show the referring time and active period of each source item.