388 research outputs found
Xu xue cong ke. v.1
No full textv. 1. 說文說 : 1卷 / 孫濟世(淸)撰. 輯注古義考 : 1卷 / 曹仁虎(淸)撰 -- v. 2. 說文訂訂 : 1卷 / 嚴可均(淸)撰. 說文辨疑 : 1卷 / 顧廣垠(淸)撰. 說文舉例 : 1卷 / 陳瑑(淸)撰 -- v. 3. 說文蠡箋 : 1卷 / 潘奕雋(淸)撰 -- v. 4. 王氏讀說文記 : 1卷 / 王念孫(淸)撰. 讀說文證疑 : 1卷 / 陳詩庭(淸)撰. 說文新坿考校正 : 1卷 / 王筠(淸)撰.v. 1. Shuo wen shuo : 1 juan / Sun Jishi (Qing) zhuan. Ji zhu gu yi kao : 1 juan / Cao Renhu (Qing) zhuan -- v. 2. Shuo wen ding ding : 1 juan / Yan Kejun (Qing) zhuan. Shuo wen bian yi : 1 juan / Gu Guangqi (Qing) zhuan. Shuo wen ju li : 1 juan / Chen Zhuan (Qing) zhuan -- v. 3. Shuo wen li jian : 1 juan / Pan Yijun (Qing) zhuan -- v. 4. Wang shi du Shuo wen ji : 1 juan / Wang Niansun (Qing) zhuan. Du Shuo wen zheng yi : 1 juan / Chen Shiting (Qing) zhuan. Shuo wen xin fu kao jiao zheng : 1 juan / Wang Yun (Qing) zhuan.[許頌鼎 ; 許溎祥輯]刊本."香港中文大學圖書館中國古籍庫"提供電子版.Kan ben.In oriental style.[Xu Songding, Xu Guixiang ji]"Xianggang Zhong wen da xue tu shu guan Zhongguo gu ji ku" ti gong dian zi ban
On the predictive capability and stability of rubber material models
No full textThesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2008.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 99-101).Due to the high non-linearity and incompressibility constraint of rubber materials, the predictive capability and stability of rubber material models require specific attention for practical engineering analysis. In this thesis, the predictive capability of various rubber material models, namely the Mooney-Rivlin model, Arruda-Boyce model, Ogden model and the newly proposed Sussman-Bathe model, is investigated theoretically with continuum mechanics methods and tested numerically in various deformation situations using the finite element analysis software ADINA. In addition, a recently made available stability criterion of rubber material models is re-derived and verified through numerical experiments for the above four models with ADINA. Thereafter, the predictive capability and stability of material models are studied jointly for non-homogenous deformations. The Mooney-Rivlin model, Arruda-Boyce model, Ogden model have difficulties in describing the uniaxial compression data while the Sussman-Bathe model can fit both compression and extension data well. Thus, the Sussman-Bathe model has the best predictive capability for pure shear deformations. Furthermore, with respect to more complex non-homogenous deformations, a conclusion is drawn that all three major deformations, namely uniaxial deformation, biaxial deformation and pure shear deformation, must satisfy the stability criterion to obtain physically correct non-homogenous simulation results.by Haining Zheng.S.M
Abstract LB-040: Application of clinical whole exome sequencing among larger scale advanced cancer patients in China
No full textAbstract
Background: Genomics-guided precision medicine has become a major paradigm shifting effort in cancer care globally to improve the outcome of cancer patients. More and more patients receive individualized cancer treatments based on their tumor-specific characteristics at both gene and genomic levels.
Methods: Over 1,000 cancer patients from more than 70 hospitals across 20 provinces in China were recruited into the project. Majority (88%) of these patients are with 4 major tumor types, which are lung, gastric, colorectal, and breast cancer. The whole exome of tumor specimen and case-matched normal samples were sequenced in each patient. Clinical decision roadmap recommendations were provided to each patient and their treating physician based on clinical whole exome sequencing (CWES) and globally available treatment options. The treatment implementation and the outcome of each patient have been followed.
Results: Of the 907 prospectively enrolled patients, 80% patients was recommended at least one FDA approved target/immunotherapy drug. 60% patients’ tumors have cancer driver/suppressor gene large segment deletions or amplifications. At the end of December 2016, 98 patients with late stage NSCLC, breast or colorectal cancer had more than 6 months follow up. Ninety five percent of (93) patients received personalized target/immunotherapy recommendations based on CWES, including genomic-matched clinical trials. Thirty percent (29) patients actually received the recommended therapy clinically. Of those 29 patients, 55% (16) patients received the treatments recommended by CWES. And 14 of those 16 patients had stable disease (SD) at the time of this report. 25 patients initially received treatment based on other panel-based recommendations, and 14 of the 25 patients suffered disease progression. Among those 14 patients, 8 patients received recommended treatment based on CWES and achieved SD at a later time.
Conclusions: CWES can provide clinical relevant treatment recommendations for most of the advanced cancer patients. Our preliminary observations suggests that CWES might provide a boarder clinical recommendation roadmap for the cancer patients in China. Longer follow-up is needed to evaluate the clinical significance of CWES on long term prognosis.
Citation Format: Qiang Xu, Guan Wang, Chun Dai, Cheng Chen, Xiaoman Xu, Haining Wang, Angela Wu, Jiping Wang. Application of clinical whole exome sequencing among larger scale advanced cancer patients in China [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr LB-040. doi:10.1158/1538-7445.AM2017-LB-040</jats:p
linyuehzzz/sandwich_spatial_interpolator: Sandwich-v1.7
No full textSandwich: a novel software for spatial interpolation of spatially stratified heterogeneous populations
Sandwich is a cross-platform open-source spatial interpolation tool that supports the Sandwich interpolation model.
Here's something you need to know/do before you run the source codes of Sandwich.
Configuration settings
Configuration settings in the development of Sandwich:
Development language: C++
Software development kit (SDK): Qt 5.6.3
Integrated development environment (IDE): Qt Creator 4.0.3 (Community)
Compiler: MSVC 2015 (32-bit)
UI: Qt Designer
Support library: GDAL-2.2.1, OpenGL
Configuration steps
To run the source code of Sandwich (in Windows, for example), please follow the steps below.
Step 1: Download Visual C++ 2015 Redistributable Update 3 and Visual C++ Build Tools 2015 Update 3. Install the first package by default. For the second one, use "custom install" to install the version that corresponds to that of your Windows.
Step 2: Download Windows 10 SDK, and install the feature "Debugging Tools for Windows".
Step 3: Download qt-opensource-windows-x86-msvc2015-5.6.3.exe, and install it by default.
Step 4: Make sure that the folder gdal_2.1.1 is put in the same parent folder with Sandwich-v1.7. Click Sandwich.pro and run the code in Qt Creator.
Citation
Please cite the following reference if you use the codes. We are also working on an article about this particular software.
@article{Wang+Haining+Liu+Li+Jiang:2013,
author = {Jin-Feng Wang and Robert Haining and Tie-Jun Liu and Lian-Fa Li and Cheng-Sheng Jiang},
title ={Sandwich Estimation for Multi-Unit Reporting on a Stratified Heterogeneous Surface},
journal = {Environment and Planning A: Economy and Space},
volume = {45},
number = {10},
pages = {2515-2534},
year = {2013},
doi = {10.1068/a44710}
}
Contacts
If there are any questions or suggestions (or anything else you want to talk about concerning this project), please feel free to let us know!
Email: [email protected] (Ms Yue Lin), [email protected] (Dr Chengdong Xu), [email protected] (Dr Jinfeng Wang*)
State Key Laboratory of Resources and Environmental Information System
Institute of Geographic Sciences and Natural Resources Research
Chinese Academy of Sciences
Beijing, 100101, Chin
Song Yunbin wen ji
No full text" 'Song Yunbin wen ji' wu juan ben di 1 juan wei shi, lun shi lun, di 2 juan wei za wen, di 3 juan wei jiao yu lun wen, xu ba, shu xin, zhuan ti zhu shu, di 4, di 5 juan wei ri ji." --zheng li shuo ming (page 1
Investigating Fraudulent and Privacy Activities in Online Business.
No full textComputer ScienceDoctor of Philosophy (Ph.D.
Motion-based Interaction for Head-Mounted Displays
No full textRecent advances in affordable sensing technologies have enabled motion-based interaction (MbI) for head-mounted displays (HMDs). Unlike traditional input devices like the mouse and keyboard, which often offer comparatively limited interaction possibilities (e.g., single-touch interaction), MbI does not have these constraints and is more natural because they reflect more closely people do things in real life. However, several issues exist in MbI for HMDs due to the technical limitations of the sensing and tracking devices, higher degrees of freedom afforded to users, and limited research in the area due to the rapid advancement of HMDs and tracking technologies.
This thesis first outlines four core challenges in the design space of MbI for HMDs: (1) boundary awareness for hand-based interaction, (2) efficient hands-free head-based interface for HMDs, (3) efficient and feasible full-body interaction for general tasks with HMDs, and (4) accessible full-body interaction for applications in HMDs. Then, this thesis presents an investigation into the contributions of these challenges in MbI for HMDs. The first challenge is addressed by providing visual feedback during interaction tailored for such technologies. The second challenge is addressed by using a circular layout with a go-and-hit selection style for head-based interaction using text entry as the scenario. In addition, this thesis explores additional interaction mechanisms that leverage the affordances of these techniques, and in doing so, we propose directional full-body motions as an interaction approach to perform general tasks with HDMs as an example to address the third challenge. The last challenge is addressed by (1) exploring the differences between performing full-body interaction for HMDs and common displays (i.e., TV) and (2) providing a set of design guidelines that are specific to current and future HMDs.
The results of this thesis show that: (1) visual methods for boundary awareness can help with mid-air hand-based interaction in HMDs; (2) head-based interaction and interfaces that take advantages of MbI, such as a circular interface, can be very efficient and low error hands-free input method for HMDs; (3) directional full-body interaction can be a feasible and efficient interaction approach for general tasks involving HMDs; (4) full-body interaction for applications in HMDs should be designed differently than for traditional displays. In addition to these results, this thesis provides a set of design recommendations and takeaway messages for MbI for HMDs
Random Linear Network Coding Enabled Routing Protocol in UAV Swarm Networks: Development, Emulation, and Optimization
No full textThe development of Unmanned Aerial Vehicles (UAVs) and fifth-generation (5G) wireless technology provides more possibilities for wireless networks. The application of UAVs is gradually evolving from individual UAVs performing tasks to UAV swarm performing tasks in concert. A UAV swarm network is when many drones work cooperatively in a swarm mode to achieve a particular goal. Due to the UAV swarm's easy deployment, self-organization, self-management, and high flexibility, it can provide robust and efficient wireless communications in some unique scenarios, such as emergency communications, hotspot region coverage, sensor networks, and vehicular networks. Therefore, UAV networks have attracted more and more attention from commercial and military; however, many problems need to be resolved before UAV cellular communications become a reality. One of the most challenging core components is the routing protocol design in the UAV swarm network. Due to the high mobility of UAVs, the position of each UAV changes dynamically, so problems such as high latency, high packet loss rate, and even loss of connection arise when UAVs are far apart. These problems dramatically reduce the transmission rate and data integrity for traditional routing protocols based on path discovery. This thesis focuses on developing, emulating, and optimizing a flooding-based routing protocol for UAV swarm using Random Linear Network Coding (RLNC) to improve the latency and bit rate and solve the packet loss problem without routing information and network topology. RLNC can reduce the number of packets demand in some hops. Due to this feature of RLNC, when relay transmitter UAVs or the destination receiver UAV receive sufficient encoded packets from any transmitter UAVs, the raw data can be decoded. For those relay transmitter UAVs in the UAV swarm network that already received some encoded packets in previous hops but not enough to decode the raw data, only need to receive the rest of the different encoded packets needed for decoding. Thus, flooding-based routing protocol significantly improves transmission efficiency in the UAV swarm network.Master of SciencePeople are used to using fiber, 4G, and Wi-Fi in the city, but numerous people still live in areas without Internet access. Moreover, in some particular scenarios like large-scale activities, remote areas, and military operations, when the cellular network cannot provide enough bandwidth or good signal, UAV wireless network would be helpful and provide stable Internet access. Successful UAV test flights can last for several weeks, and researchers' interest in high-altitude long-endurance (HALE) UAVs are booming. HALE UAVs will create Wi-Fi or other network signals for remote areas, including polar regions, which will allow millions of people to enter the information society and connect to the Internet. The development of UAV and 5G provides more possibilities for wireless networks. UAV applications have evolved from individual UAV performing tasks to UAV swarm performing tasks. A UAV swarm network is where multiple drones work in tandem to achieve a particular goal. It can provide robust and efficient wireless communications in unique scenarios. As a result, UAVs are receiving attention from both commercial and military. However, there are still many problems that need to be resolved before the actual use of UAVs. One of the biggest challenges is routing protocol which is how UAVs communicate with each other and select routes. As the location of UAVs is constantly changing, this leads to delays, data loss, or complete loss of connectivity. Ultimately these issues can lead to slow transmission speed and lack of data integrity for traditional routing protocols based on path discovery. This thesis focuses on developing, emulating, and optimizing a flooding-based routing protocol for the UAV swarm. Specifically, this protocol uses RLNC, which can reduce the number of packets demand in some hops so that the latency and transmission speed will be improved, and the data loss problem will also be solved. Due to this feature of RLNC, when any receiver receives enough encoded packets from any transmitter, the original data can be decoded. Some receivers that already received some encoded packets in the previous transmission only need to receive the rest of the different encoded packets needed for decoding. Therefore, flooding-based routing protocol significantly improves transmission efficiency for UAV swarm networks
On Enhancing Security of Password-Based Authentication
No full textPassword has been the dominant authentication scheme for more than 30 years, and it will not be easily replaced in the foreseeable future. However, password authentication has long been plagued by the dilemma between security and usability, mainly due to human memory limitations. For example, a user often chooses an easy-to-guess (weak) password since it is easier to remember. The ever increasing number of online accounts per user even exacerbates this problem. In this dissertation, we present four research projects that focus on the security of password authentication and its ecosystem. First, we observe that personal information plays a very important role when a user creates a password. Enlightened by this, we conduct a study on how users create their passwords using their personal information based on a leaked password dataset. We create a new metric---Coverage---to quantify the personal information in passwords. Armed with this knowledge, we develop a novel password cracker named Personal-PCFG (Probabilistic Context-Free Grammars) that leverages personal information for targeted password guessing. Experiments show that Personal-PCFG is much more efficient than the original PCFG in cracking passwords. The second project aims to ease the password management hassle for a user. Password managers are introduced so that users need only one password (master password) to access all their other passwords. However, the password manager induces a single point of failure and is potentially vulnerable to data breach. To address these issues, we propose BluePass, a decentralized password manager that features a dual-possession security that involves a master password and a mobile device. In addition, BluePass enables a hand-free user experience by retrieving passwords from the mobile device through Bluetooth communications. In the third project, we investigate an overlooked aspect in the password lifecycle, the password recovery procedure. We study the password recovery protocols in the Alexa top 500 websites, and report interesting findings on the de facto implementation. We observe that the backup email is the primary way for password recovery, and the email becomes a single point of failure. We assess the likelihood of an account recovery attack, analyze the security policy of major email providers, and propose a security enhancement protocol to help securing password recovery emails by two factor authentication. \newline Finally, we focus on a more fundamental level, user identity. Password-based authentication is just a one-time checking to ensure that a user is legitimate. However, a user's identity could be hijacked at any step. For example, an attacker can leverage a zero-day vulnerability to take over the root privilege. Thus, tracking the user behavior is essential to examine the identity legitimacy. We develop a user tracking system based on OS-level logs inside an enterprise network, and apply a variety of techniques to generate a concise and salient user profile for identity examination.Computer ScienceDoctor of Philosophy (Ph.D.
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