Mapping QTLs controlling grain weight using the advanced backcross populations derived from the cross of Oryza sativa and O. rufipogon in rice

Xiao Bo Xie,M. H. Song,J. P. Suh,S. N Ahn 한국육종학회 2004 한국육종학회 학술발표회 발표요지 Vol.36 No.1

Research on Data Mining Model of Intelligent Transportation Based on Granular Computing

Xiao-Lan Xie,Xiao-Feng Gu 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.7

Through the analysis of the relationship between current intelligence transportation and large data, after the theory of granular computing concepts involved in preliminary studies, For the current data mining of intelligent transportation ,we presents a Data Mining Model Of Intelligent Transportation Based on Granular Computing. Utilizing granular computing in data mining theory advantages, through constructing a new data mining model to solve the tlarge-scale, complexity, uncertainty and ambiguity problems of massive data from intelligent transportation.

Collaborative Plotting System Based on Web and Multi-Agent

Xiao-Lan Xie,Shun-Bai Huang,Xiu-juan Guo 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.7

The traditional collaborative plotting system is a single user plot in which users are independent of each other, and the data can’t be shared among them. It can’t meet the requirements of multi-users to collaborative plot in the modern society. In this paper, we proposed multi-agent technology applying into the collaborative plotting system, and designed a collaborative plotting system based on web and multi-agent, which can solve the problem of real-time collaborative plotting for multi-users. At the same time, it provides the map editing interactive interface and realizes the dynamic exchange of the plotting information. Also, it supports a wide range of collecting effective plotting data, and realizes a new way of information acquisition. Experiments show that the system based on multi-agent can achieve fast and real-time cooperation under the Web environment, and its response time is short and the system performance is stable.

Research on Scheduling Strategy based on Trust in Hybrid Cloud

Xiao-Lan Xie,Shun-Bai Huang,Xiu-juan Guo 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.8

Hybrid cloud can help companies to maximize the potentiality of IT infrastructure, so the hybrid cloud is increasingly popular in the market. Hybrid cloud scheduling has become one of the important issues which cloud providers face in the current. How to effectively and safely make hybrid cloud scheduling is one of the main research topics in the field of hybrid cloud. This paper introduces an effective hybrid cloud resource management model, and proposes a hybrid cloud resource scheduling strategy based on the particle swarm leapfrog algorithm and trust mechanism in order to solve the problems. The experimental results show that the hybrid cloud scheduling strategy is effective in terms of security and throughput.

Research on Task Scheduling Algorithm Based on Trust in Cloud Computing

Xiao-Lan Xie,Xiu-Juan Guo 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8

Cloud computing is regarded as a new computing mode in recent years, and has been widely applied. Its task scheduling affects the performance of the cloud computing system directly, and people pay more and more attention to the security problems of cloud computing. The paper introduces the trust in scheduling algorithm, improves and fuses the PSO and SA in order to make them complementary. By applying that to the task scheduling strategy of cloud computing, we can get a higher scheduling efficiency. We implement the proposed algorithm and verify its high efficiency through the simulation platform (CloudSim).

Predictive Value of Xrcc1 Gene Polymorphisms for Side Effects in Patients undergoing Whole Breast Radiotherapy: a Meta-analysis

Xie, Xiao-Xue,Ouyang, Shu-Yu,Jin, He-Kun,Wang, Hui,Zhou, Ju-Mei,Hu, Bing-Qiang Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12

Radiation-induced side effects on normal tissue are determined largely by the capacity of cells to repair radiation-induced DNA damage. X-ray repair cross-complementing group 1 (XRCC1) plays an important role in the repair of DNA single-strand breaks. Studies have shown conflicting results regarding the association between XRCC1 gene polymorphisms (Arg399Gln, Arg194Trp, -77T>C and Arg280His) and radiation-induced side effects in patients undergoing whole breast radiotherapy. Therefore, we conducted a meta-analysis to determine the predictive value of XRCC1 gene polymorphisms in this regard. Analysis of the 11 eligible studies comprising 2,199 cases showed that carriers of the XRCC1 399 Gln allele had a higher risk of radiation-induced toxicity than those with the 399 ArgArg genotype in studies based on high-quality genotyping methods [Gln vs. ArgArg: OR, 1.85; 95% CI, 1.20-2.86] or in studies with mixed treatment regimens of radiotherapy alone and in combination with chemotherapy [Gln vs. ArgArg: OR, 1.60; 95% CI, 1.09-2.23]. The XRCC1 Arg399Gln variant allele was associated with mixed acute and late adverse reactions when studies on late toxicity only were excluded [Gln allele vs. Arg allele: OR, 1.22; 95% CI, 1.00-1.49]. In contrast, the XRCC1 Arg280His variant allele was protective against radiation-induced toxicity in studies including patients treated by radiotherapy alone [His allele vs. Arg allele: OR, 0.58; 95% CI, 0.35-0.96]. Our results suggest that XRCC1 399Gln and XRCC1 280Arg may be independent predictors of radiation-induced toxicity in post-surgical breast cancer patients, and the selection of genotyping method is an important factor in determining risk factors. No evidence for any predictive value of XRCC1 Arg194Trp and XRCC1 -77T>C was found. So, larger and well-designed studies might be required to further evaluate the predictive value of XRCC1 gene variation on radiation-induced side effects in patients undergoing whole breast radiotherapy.

Cinnamaldehyde Derivatives Inhibit Coxsackievirus B3-Induced Viral Myocarditis

( Xiao-qiang Li ),( Xiao-xiao Liu ),( Xue-ying Wang ),( Yan-hua Xie ),( Qian Yang ),( Xin-xin Liu ),( Yuan-yuan Ding ),( Wei Cao ),( Si-wang Wang ) 한국응용약물학회 2017 Biomolecules & Therapeutics(구 응용약물학회지) Vol.25 No.3

The chemical property of cinnamaldehyde is unstable in vivo, although early experiments have shown its obvious therapeutic effects on viral myocarditis (VMC). To overcome this problem, we used cinnamaldehyde as a leading compound to synthesize derivatives. Five derivatives of cinnamaldehyde were synthesized: 4-methylcinnamaldehyde (1), 4-chlorocinnamaldehyde (2), 4-methoxycinnamaldehyde (3), α-bromo-4-methylcinnamaldehyde (4), and α-bromo-4-chlorocinnamaldehyde (5). Neonatal rat cardiomyocytes and HeLa cells infected by coxsackievirus B3 (CVB3) were used to evaluate their antiviral and cytotoxic effects. In vivo BALB/c mice were infected with CVB3 for establishing VMC models. Among the derivatives, compound 4 and 5 inhibited the CVB3 in HeLa cells with the half-maximal inhibitory concentrations values of 11.38 ± 2.22 μM and 2.12 ± 0.37 μM, respectively. The 50% toxic concentrations of compound 4 and 5-treated cells were 39-fold and 87-fold higher than in the cinnamaldehyde group. Compound 4 and 5 effectively reduced the viral titers and cardiac pathological changes in a dose-dependent manner. In addition, compound 4 and 5 significantly inhibited the secretion, mRNA and protein expressions of inflammatory cytokines TNF-α, IL-1β and IL-6 in CVB3-infected cardiomyocytes, indicating that brominated cinnamaldehyde not only improved the anti-vital activities for VMC, but also had potent anti-inflammatory effects in cardiomyocytes induced by CVB3.

병리 정보 시스템을 위한 이미지 외곽선 추출 기법 연구

( Xie Xiao ),오상윤 ( Sangyoon Oh ) 한국정보처리학회 2016 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.5 No.10

병리 정보시스템(Pathological Information System: PIS)은 매일 수천 장씩 생산되는 환자 병리 이미지를 관리하는데 활용되고 있으며, 이 이미지 정보들을 어떻게 효과적으로 처리할 것인지는 병리 정보 처리에 있어서 중요한 연구 과제 중 하나이다. 이미지의 외곽선을 추출하는 것은 병리 이미지 처리에 있어 가장 중요한 작업이지만 현재 사용되는 알고리즘은 정확도에 있어 많은 개선점을 가지므로, 본 논문에서는 이미지의 외곽선 검측에 있어서 기존의 Canny 알고리즘의 원리를 바탕으로 적응적 임계값 설정이 가능하며 눈금자를 임계값 설정의 기준으로 삼는방식을 제안하여 기존 외곽선 추출 방식보다 정확한 방식을 제안한다. 제안 방식은 기존 방식과의 비교실험을 통해 성능을 검증하였으며, 이 실험에서는 임의로 선정된 병리 이미지 군, 기존 방식으로는 식별이 제한되었던 병리 이미지 군 및 의도적으로 노이즈를 추가한 이미지 군을 대상으로 실험하였고, 실험 결과를 비교하여 제안하는 이미지 외곽선 식별 방식의 향상된 성능을 증명했다. Thousands of pathological images are produced daily per hospital and they are stored and managed by a pathology information system (PIS). Since image edge detection is one of fundamental analysis tools for pathological images, many researches are targeted to improve accuracy and performance of image edge detection algorithm of HIS. In this paper, we propose a novel image edge detection method. It is based on Canny algorithm with adaptive threshold configuration. It also uses a dividing ruler to configure the two threshold instead of whole image to improve the detection ratio of ruler itself. To verify the effectiveness of our proposed method, we conducted empirical experiments with real pathological images(randomly selected image group, image group that was unable to detect by conventional methods, and added noise image group). The results shows that our proposed method outperforms and better detects compare to the conventional method.

Implementation of Bad Information Filtering System Based on SVM Algorithm

Xiao-Lan Xie,Zhen Long 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.9

This paper puts forward text filtering system based on SVM algorithm regarding to the problem that bad and sensitive information of user tag that may exist in the collaborative geographic information plotting system. Then further improvement has been made towards the TF-IDF for feature extraction and thus achieved the function that automatically blocks the bad and sensitive information marked by users.

Kinematic errors on helical gear of triple circular-arc teeth

Xiao-Shun Xie,Hsueh-Cheng Yang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.8

Two imaginary skew rack cutter curves with stepped triple circular-arc teeth are presented in this paper. A helical gear pair that includesthe gear and pinion surfaces was generated by using two matched imaginary skew rack cutter surfaces. The mathematical modelsof the helical gear pair with stepped triple circular-arc teeth were developed based on theory of gearing. With the use of these models, theanalysis of kinematic errors can be illustrated and evaluated by computer programming and tooth contact analysis (TCA). The assemblyerrors used had several kinds: ideal assembly errors, vertical misalignment angles, horizontal misalignment angles, manufacturing errorsof helical angles, and center distance deviation. TCA revealed that the sensitivity of horizontal misalignment angles was lower than thatof manufacturing errors of helix angles but higher than that of vertical misalignment angles.