Chiyu Ip Search Tool Download
Tyler Janicke
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Zhejiang Yongkang Chiyu Auto Maintenance Tools Co., Ltd. is a specialized manufacturer of "Chiyu" brand automobile grease guns, fuel-injection devices, tool cars, tire pressure rifles, etc. We have advanced mechanical equipment, scientific management mode, rational manufacturing engineering, rich research and development ability, organizing and producing according to the ISO9001-2000 international quality system authentication strictly. Therefore, our products find a good sale in five continents around the world. Adhering to the principle of "scientific and technological guide, people first, being honest", we are now looking forward to even greater cooperation with overseas customers based on mutual benefits. Please feel free to contact us for more details.
Mr. Lin uses various models to support a variety of projects including water balance calculations, peak-flow hydrograph simulations, surface water and groundwater interactions, source fingerprinting on water quantity and quality, snow water and snow depth estimation, and sediment transport investigations. He has used a range of hydraulic and hydrologic models such as HSPF, DSM2, SWMM, and HEC-RAS; land surface models that study interaction between surface water and groundwater such as IWFM and VIC; and hydrodynamic models such as DELFT 3D.
Mr. Lin is also an experienced database manager and data analyst. He has experience processing and analyzing meteorological, geological, and USGS measurement data for various hydrologic modeling efforts. He provides technical support involving statistical analysis, database querying and updates, and data visualizations for a wide variety of data, including field measurements, laboratory analyses, and publicly available datasets. He is fluent with programming languages and database management tools such as R, PERL, MS SQL Server, MySQL, and PostgreSQL.
Storm Water Management Model (SWMM)
Evaluated and maintained an existing SWMM project for a confidential aerospace facility in Southern California. Conducted model runs, analyzed SWMM output, and used model results to design and refine a program to collect flow-weighted composite storm water samples as required by the facility's National Pollutant Discharge Elimination System (NPDES) permit for storm water.
Built a SWMM model to evaluate potential changes to the water balance and flow rates for a proposed agricultural operation in Hawaii. Constructed model scenarios to evaluate existing and proposed project conditions. Used model output to evaluate the impacts of the proposed project on infiltration, evaporation, runoff and peak flow rates.
Hydrologic Engineering Center River Analysis System (HEC-RAS)
Utilized the HEC-RAS model to support a sediment transport investigation in a narrow, shallow lake in New Jersey. Simulated runoff hydrographs associated with a range of measured and design storms under both historical and current lake bathymetry conditions.
Conducted HEC-RAS modeling to support permitting for a proposed application of aquatic pesticides in Southern California. Built and calibrated the model to simulate flow hydrographs and water quality within a channel and long, narrow reservoir system. Developed R programs to post-process HEC-RAS results to simulate pesticide loss and decay in the system.
Delft3D
Conducted modeling using Delft 3D, a 3D hydrodynamic and sediment transport model, within a semi-enclosed embayment to evaluate circulation and mixing and the fate and transport of storm flows and sediment particles from a municipal storm water outfall. Constructed the model with multiple dimensions using domain decomposition driven by tidal-induced currents to track discharge from the storm water outfall and evaluate hydrodynamic conditions that would influence sediment deposition and resuspension.
Variable Infiltration Capacity (VIC) model
Applied the VIC model, a large-scale, semi-distributed land surface and hydrology research model, to simulate snow cover, snow water equivalent (SWE), snow depth, and snowmelt in mountainous areas in the Pacific Northwest and Colorado River headwater regions. Modeling was conducted as part of a model inter-comparison study to evaluate the ability of six major land surface models to simulate snow processes in complex terrains.
Water Resources Engineering
Conducted surface hydrology models to support various engineering projects.
Conducted mathematical simulations of chloride flow through fractures, estimated the breakthrough curve (BTC) of a leakage event, and determined the approximate start time of leakage from an uphill pit in Pennsylvania.
Incorporated meteorological data, stream flow data, soil/infiltration data to provide water balance calculations and estimate annual flow volumes.
Environmental/Ecological Data Analysis
Provided data analysis for an annual monitoring report for a mining company. Reviewed current monitoring data and compiled with historical data. Developed a suite of R programs to automatically process the monitoring data, conduct statistical analyses, and visualize the data.
Provided data format manipulation support to convert data from various tabular formats into standard xml format for data submission to a government agency.
Developed R programs for various data preparation, data manipulation, data processing, and data visualization tasks. Improved data process efficiency and accuracy through automation.
Database Management and Support
Provided continuous monitoring and issued regular updates to a PostgreSQL database thathouses analytical data and documents for various projects conducted by a mining company. Conducted database queries to support the clients' requests.
Managed project databases hosted in various platforms including Excel, Access, SQL Server, and PostgreSQL. Provided regular support in querying and updating databases for various projects.
Managed in-house Validation, Analysis, and Storage Tool (VAST) database and exported summary reports to support chemical data analysis tasks for various former manufactured gas plants (MGP) projects.
Compiled data from various projects and built preliminary environmental forensic data library for internal use.
Managed updates to the Toxic Release sector of the Economic Input-Output Life Cycle Assessment (EIO-LCA) model, and implemented data from the U.S. EPA Toxic Release Inventory, Bureau of Economic Analysis of Department of Census, and North American Industry Classification System into the EIO-LCA model.
Managed updates to the Toxic Release sector of the Economic Input-Output Life Cycle Assessment (EIO-LCA). Utilized North American Industry Classification System (NAICS) as an intermediate to convert and allocate Toxic Release Inventory (TRI) data to EIO-LCA model, which is based on Input-Output Commodity Codes (IOCC).
The Exploit Database is a CVE compliant archive of public exploits and corresponding vulnerable software, developed for use by penetration testers and vulnerability researchers. Our aim is to serve the most comprehensive collection of exploits gathered through direct submissions, mailing lists, as well as other public sources, and present them in a freely-available and easy-to-navigate database. The Exploit Database is a repository for exploits and proof-of-concepts rather than advisories, making it a valuable resource for those who need actionable data right away.
The Google Hacking Database (GHDB) is a categorized index of Internet search engine queries designed to uncover interesting, and usually sensitive, information made publicly available on the Internet. In most cases, this information was never meant to be made public but due to any number of factors this information was linked in a web document that was crawled by a search engine that subsequently followed that link and indexed the sensitive information.
After nearly a decade of hard work by the community, Johnny turned the GHDB over to OffSec in November 2010, and it is now maintained as an extension of the Exploit Database. Today, the GHDB includes searches for other online search engines such as Bing, and other online repositories like GitHub, producing different, yet equally valuable results.
I am currently a fourth-year Ph.D. Candidate at School of Information, University of British Columbia, Canada. My superviser is Dr. Muhammad Abdul-Mageed. My research focuses on natural language processing, deep learning, and social media mining. I am working as a Research Scientist Intern at Meta this Fall. I interned at Google as a Research Intern and at Borealis AI as a Machine Learning Researcher before. I was a visiting Ph.D. student at MBZUAI, Abu Dhabi. Here is my résumé.
Qiu, Y.*, Zhang, C.*, & Shuixuan, C. (2017, March). Research of Patent-value Assessment Indicator System Based on Classification and Regression Tree Algorithm. Journal of Xiamen University (Natural Science)(2), 244-251.
Qiu, Y., & Zhang, C. (2016, August). Research of indicator system in customer churn prediction for telecom industry. In 2016 11th International Conference on Computer Science & Education (ICCSE) (pp. 123-130). IEEE.
1Department of Comprehensive Medical Oncology, Key Laboratory of Head and Neck Cancer Translational Research of Zhejiang Province, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
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