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      • Lake Surface Area Estimation Method based on Error Mechanism Model for Satellite Imagery and Its Application in Ebinur Lake

        Rong Xu,Chunzhe Zhao,Jiang Xiong 보안공학연구지원센터(IJSIP) 2015 International Journal of Signal Processing, Image Vol.8 No.1

        A novel mechanism model is proposed for the difference between the lake water areas derived from the remote sensing images at high spatial resolution and low spatial resolution. The areas estimated by images at different spatial resolution are calculated theoretically for the elliptical (including circular), triangular and hexagonal areal ground features. Based on the ideal cases, the quantitative rule between the two kinds of area is summarized. According to the theoretical results, the mechanism model is established for the error of the lake surface area. Especially, the surface area of Ebinur Lake derived with SPOT/VEGETATION (VGT), Landsat EM/ETM+ and MODIS are employed to validate the effectiveness and applicability of this model. With the help of the linear regression method, this model can be used to estimate the error between the Ebinur Lake surface areas derived from satellite images at different spatial resolutions, and promote the lake surface area from low spatial resolution imagery. Consequently, this model is helpful for estimating the lake surface area more accurately in a large region, and its effectiveness can be improved with more historical data.

      • KCI등재

        Study of upfront surgery versus neoadjuvant chemotherapy followed by interval debulking surgery for patients with stage IIIC and IV ovarian cancer, SGOG SUNNY (SOC-2) trial concept

        Rong Jiang,Jianqing Zhu,김재원,Jihong Liu,Kazuyoshi Kato,김희승,Yuqin Zhang,Ping Zhang,Tao Zhu,Daisuke Aoki,Aijun Yu,Xiaojun Chen,Xipeng Wang,Ding Zhu,Wei Zhang,Huixun Jia,Ting-Yan Shi,Wen Gao,Sheng Yin,Yan 대한부인종양학회 2020 Journal of Gynecologic Oncology Vol.31 No.5

        Background: Two randomized phase III trials (EORTC55971 and CHORUS) showed similarprogression-free and overall survival in primary or interval debulking surgery in ovariancancer, however both studies had limitations with lower rate of complete resection and lack ofsurgical qualifications for participating centers. There is no consensus on whether neoadjuvantchemotherapy followed by interval debulking surgery (NACT-IDS) could be a preferred approachin the management of advanced epithelial ovarian cancer (EOC) in the clinical practice. Methods: The Asian SUNNY study is an open-label, multicenter, randomized controlled,phase III trial to compare the effect of primary debulking surgery (PDS) to NACT-IDS instages IIIC and IV EOC, fallopian tube cancer (FTC) or primary peritoneal carcinoma (PPC). The hypothesis is that PDS enhances the survivorship when compared with NACT-IDS inadvanced ovarian cancer. The primary objective is to clarify the role of PDS and NACT-IDS inthe treatment of advanced ovarian cancer. Surgical quality assures include at least 50% of nogross residual (NGR) in PDS group in all centers and participating centers should be nationalcancer centers or designed ovarian cancer section or those with the experience participatingsurgical trials of ovarian cancer. Any participating center should be monitored evaluatingthe proportions of NGR by a training set. The aim of the surgery in both arms is maximalcytoreduction. Tumor burden of the disease is evaluated by diagnostic laparoscopy orpositron emission tomography/computed tomography scan. Patients assigned to PDS groupwill undergo upfront maximal cytoreductive surgery within 3 weeks after biopsy, followed by6 cycles of standard adjuvant chemotherapy. Patients assigned to NACT group will undergo 3cycles of NACT-IDS, and subsequently 3 cycles of adjuvant chemotherapy. The maximal timeinterval between IDS and the initiation of adjuvant chemotherapy is 8 weeks. Major inclusioncriteria are pathologic confirmed stage IIIC and IV EOC, FTC or PPC; ECOG performancestatus of 0 to 2; ASA score of 1 to 2. Major exclusion criteria are non-epithelial tumors as wellas borderline tumors; low-grade carcinoma; mucinous ovarian cancer. The sample size is 456subjects. Primary endpoint is overall survival. Trial Registration: ClinicalTrials.gov Identifier: NCT02859038

      • KCI등재

        Single-index composite quantile regression

        Rong Jiang,Zhan-Gong Zhou,Wei-Min Qian,Wen-Qiong Shao 한국통계학회 2012 Journal of the Korean Statistical Society Vol.41 No.3

        In this paper, we extend the composite quantile regression (CQR) method to a single-index model. The unknown link function is estimated by local composite quantile regression and the parametric index is estimated through the linear composite quantile. It is shown that the proposed estimators are consistent and asymptotically normal. The simulation studies and real data applications are conducted to illustrate the finite sample performance of the proposed methods.

      • SCIE

        Random weighting M-estimation for linear errors-in-variables models

        Jiang, Rong,Yang, Xiaohan,Qian, Weimin 한국통계학회 2012 Journal of the Korean Statistical Society Vol.41 No.4

        In this paper, we extend the random weighting method to linear errors-in-variables models and propose random weighting M-estimators (RWME) for parameters. Its large sample properties are studied and the consistency and asymptotic normality are proved under mild conditions. In addition, the results facilitate the construction of confidence regions and hypothesis testing for the unknown parameters. Extensive simulations are reported, showing that the proposed method works well in practical settings. The proposed methods are also applied to a data set from an AIDS clinical trial group study.

      • SCIE

        Single-index composite quantile regression

        Jiang, Rong,Zhou, Zhan-Gong,Qian, Wei-Min,Shao, Wen-Qiong 한국통계학회 2012 Journal of the Korean Statistical Society Vol.41 No.3

        In this paper, we extend the composite quantile regression (CQR) method to a single-index model. The unknown link function is estimated by local composite quantile regression and the parametric index is estimated through the linear composite quantile. It is shown that the proposed estimators are consistent and asymptotically normal. The simulation studies and real data applications are conducted to illustrate the finite sample performance of the proposed methods.

      • KCI등재후보

        HRKT: A Hierarchical Route Key Tree based Group Key Management for Wireless Sensor Networks

        ( Rong Jiang ),( Jun Luo ),( Xiaoping Wang ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.8

        In wireless sensor networks (WSNs), energy efficiency is one of the most essential design considerations, since sensor nodes are resource constrained. Group communication can reduce WSNs communication overhead by sending a message to multiple nodes in one packet. In this paper, in order to simultaneously resolve the transmission security and scalability in WSNs group communications, we propose a hierarchical cluster-based secure and scalable group key management scheme, called HRKT, based on logic key tree and route key tree structure. The HRKT scheme divides the group key into cluster head key and cluster key. The cluster head generates a route key tree according to the route topology of the cluster. This hierarchical key structure facilitates local secure communications taking advantage of the fact that the nodes at a contiguous place usually communicate with each other more frequently. In HRKT scheme, the key updates are confined in a cluster, so the cost of the key updates is reduced efficiently, especially in the case of massive membership changes. The security analysis shows that the HRKT scheme meets the requirements of group communication. In addition, performance simulation results also demonstrate its efficiency in terms of low storage and flexibility when membership changes massively.

      • A Decision-Making Method for Selecting Cloud Computing Service based on Information Entropy

        Rong Jiang,Hongzhi Liao,Ming Yang,Chunhong Li 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.4

        This paper proposes an information-entropy-based decision-making method for selecting cloud computing service. Firstly, an evaluation index system (EIS-DMSCS) is developed. Secondly, a decision-making method is constructed. Finally, the application example proves the scientificity, effectiveness and feasibility of this method.

      • KCI등재

        Comparison of Three Active-Frequency-Drift Islanding Detection Methods for Single-Phase Grid-Connected Inverters

        Jia-rong Kan,Hui Jiang,Yu Tang,Dong-chun Wu,Yun-ya Wu,Jiang Wu 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.2

        A novel islanding detection method is proposed in this paper. It is based on a frequency drooping PLL, which was presented in a previous work. The cause of errors in the non-detection zone (NDZ) of conventional frequency disturbance islanding detection methods (IDM) is analyzed. A frequency drooping phase-locked-loop (FD-PLL) is introduced into a single-phase grid-connected inverter (SPGCI), which can guarantee that grid current is in phase with the grid voltage. A novel FD-PLL IDM is proposed by improving this PLL. In order to verify the performance of the proposed FD-PLL IDM, a full performance comparison between the proposed IDM and typical existing active frequency drift IDMs is carried out, which includes both dynamic performance and steady performance. With the same NDZ, the total harmonic distortion of the grid-current in the dynamic process and steady state is analyzed. The proposed FD-PLL IDM, regardless of the dynamic or steady process, has the best power quality. Experimental and simulation results verify that the proposed FD-PLL IDM has excellent performance.

      • KCI등재

        한국 청소년들의 건강행태와 BMI의 상관관계에 대한 연구 -청소년건강행태온라인조사 제5차(2009년) 자료를 중심으로-

        강영국 ( Rong Guo Jiang ),권봉안 ( Bong An Kwon ) 한국체육대학교 체육과학연구소 2012 스포츠사이언스 Vol.30 No.1

        본 연구는 2009년 제5차 청소년건강행태온라인 조사 원시자료를 이용하여 중·고교 여학생들의 건강행태와 BMI의 상관관계를 알아보고자 한다. 34,247명의 여학생을 대상으로 하였으며 SPSS Ver. 16.0을 사용하여 빈도분석과 교차분석을 실시하였다. 연구결과는 사회통계적 변인, 식습관 변인의 경우 통계적으로 유의한 차이가 나타났다(p<0.05). 신체활동 변인에서 통계적으로 유의한 차이가 나타났으나(p<0.05), 근력강화운동(고등학생)에서는 유의한 차이가 나타나지 않았다. 스트레스정도, 스트레스원인과 BMI 변인간 교차분석에서 통계적으로 유의한 차이가 나타났다(p<0.05). 체형인지, 체중조절 노력정도의 경우유의한 차이가 나타났다(p<0.05). 청소년들에게 올바른 식습관 형성과 청소년 스스로 비만에 대한 확실한 지식을 가질 수 있도록 전문교사를 양성하고 비만학생 관리에 지속적 관심과 노력을 기울여야 할 것이다. This study is aimed to find out the correlation between the health behaviors of middle, high school girl students and BMI with the raw data of the 2009 5th Korea Youth Risk Behavior Web-Based Survey. This study was conducted for 34,247 girl students, and frequency analysis and crosstabs were carried out with SPSS Ver. 16.0. As for the results of study, they are as follows. There was a statistically significant difference in the cases of sociodemographic variable and dietary habit variable( p<0.05). Although there was a statistically significant difference in physical activities variable(p<0.05), however, there was no significant difference in muscular strengthening exercises(high school girl students). And also, there was a statistically significant difference in the crosstabs between the degree and cause of stress and BMI variable(p<0.05). In the cases of body type perception and the degree of weight-control effort, there was a significant difference(p<0.05). In the end, it is considered that it is necessary to show continued interest and put effort in training the specialists teachers and in controlling the obese students to let the adolescents form a good dietary habit and have a definite knowledge of the obesity for themselves.

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