The document contains contact and background information for Wei Zhao. It summarizes his education, including obtaining a computer science bachelor's degree from Peking University in 2011 and currently pursuing a computer science master's degree from the University of California, Irvine. It also lists two projects he worked on - developing a 3D meandering river channels modeling method and a "3D Geological Markup Language" verification system. Additionally, it provides details on a internship and courses taken, as well as skills, a publication, and honors.
A spatial data model for moving object databasesijdms
Moving Object Databases will have significant role in Geospatial Information Systems as they allow users
to model continuous movements of entities in the databases and perform spatio-temporal analysis. For
representing and querying moving objects, an algebra with a comprehensive framework of User Defined
Types together with a set of functions on those types is needed. Moreover, concerning real world
applications, moving objects move along constrained environments like transportation networks so that an
extra algebra for modeling networks is demanded, too. These algebras can be inserted in any data model if
their designs are based on available standards such as Open Geospatial Consortium that provides a
common model for existing DBMS’s. In this paper, we focus on extending a spatial data model for
constrained moving objects. Static and moving geometries in our model are based on Open Geospatial
Consortium standards. We also extend Structured Query Language for retrieving, querying, and
manipulating spatio-temporal data related to moving objects as a simple and expressive query language.
Finally as a proof-of-concept, we implement a generator to generate data for moving objects constrained
by a transportation network. Such a generator primarily aims at traffic planning applications.
Low Cost Business Intelligence Platform for MongoDB instances using MEAN stackAvinash Kaza
Aggregation Pipelines feature in MongoDB is so powerful that we can quickly build a simple API using ExpressJS and NodeJS and put a front-end on top built using AngularJS in less than 40hrs to build a solid and scalable Business Intelligence platform which researchers can use to answer all sorts of questions
This stack demonstrates the concept with two example research questions answered
Useful to understand Aggregation Pipelines and to convey the idea of how to build a low cost BI platform using MEAN stack
A spatial data model for moving object databasesijdms
Moving Object Databases will have significant role in Geospatial Information Systems as they allow users
to model continuous movements of entities in the databases and perform spatio-temporal analysis. For
representing and querying moving objects, an algebra with a comprehensive framework of User Defined
Types together with a set of functions on those types is needed. Moreover, concerning real world
applications, moving objects move along constrained environments like transportation networks so that an
extra algebra for modeling networks is demanded, too. These algebras can be inserted in any data model if
their designs are based on available standards such as Open Geospatial Consortium that provides a
common model for existing DBMS’s. In this paper, we focus on extending a spatial data model for
constrained moving objects. Static and moving geometries in our model are based on Open Geospatial
Consortium standards. We also extend Structured Query Language for retrieving, querying, and
manipulating spatio-temporal data related to moving objects as a simple and expressive query language.
Finally as a proof-of-concept, we implement a generator to generate data for moving objects constrained
by a transportation network. Such a generator primarily aims at traffic planning applications.
Low Cost Business Intelligence Platform for MongoDB instances using MEAN stackAvinash Kaza
Aggregation Pipelines feature in MongoDB is so powerful that we can quickly build a simple API using ExpressJS and NodeJS and put a front-end on top built using AngularJS in less than 40hrs to build a solid and scalable Business Intelligence platform which researchers can use to answer all sorts of questions
This stack demonstrates the concept with two example research questions answered
Useful to understand Aggregation Pipelines and to convey the idea of how to build a low cost BI platform using MEAN stack
Comment un tableau de bord smart City peut être au service de la performance publique ? Comment maintenir la participation du citoyen et éviter une approche utilitariste ? Comment créer une plateforme collaborative permettant aux différents acteurs de s'investir dans des missions de service public ? Telles sont les questions qui se jouent. L'exploration de ce sujet repose sur une idée simple, selon laquelle les élus, les services de la ville, les entreprises et les citoyens doivent construire ensemble une ville plus intelligente.
This is the presentation for his admission to the third year of his Ph.D.. It talks about the several direction his work had taken and look forward to the conclusion of some task in form of code release and published papers.
Comment un tableau de bord smart City peut être au service de la performance publique ? Comment maintenir la participation du citoyen et éviter une approche utilitariste ? Comment créer une plateforme collaborative permettant aux différents acteurs de s'investir dans des missions de service public ? Telles sont les questions qui se jouent. L'exploration de ce sujet repose sur une idée simple, selon laquelle les élus, les services de la ville, les entreprises et les citoyens doivent construire ensemble une ville plus intelligente.
This is the presentation for his admission to the third year of his Ph.D.. It talks about the several direction his work had taken and look forward to the conclusion of some task in form of code release and published papers.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
TRANSFORMATION RULES FOR BUILDING OWL ONTOLOGIES FROM RELATIONAL DATABASEScsandit
Relational Databases (RDB) are used as the backend database by most of information systems.
RDB encapsulate conceptual model and metadata needed in the ontology construction. Schema
mapping is a technique that is used by all existing approaches for ontology building from RDB.
However, most of those methods use poor transformation rules that prevent advanced database
mining for building rich ontologies. In this paper, we propose transformation rules for building
owl ontologies from RDBs. It allows transforming all possible cases in RDBs into ontological
constructs. The proposed rules are enriched by analyzing stored data to detect disjointness and
totalness constraints in hierarchies, and calculating the participation level of tables in n-ary
relations. In addition, our technique is generic; hence it can be applied to any RDB. The
proposed rules were evaluated using a normalized and open RDB. The obtained ontology is
richer in terms of non- taxonomic relationships.
Towards a new hybrid approach for building documentoriented data warehIJECEIAES
Schemaless databases offer a large storage capacity while guaranteeing high performance in data processing. Unlike relational databases, which are rigid and have shown their limitations in managing large amounts of data. However, the absence of a well-defined schema and structure in not only SQL (NoSQL) databases makes the use of data for decision analysis purposes even more complex and difficult. In this paper, we propose an original approach to build a document-oriented data warehouse from unstructured data. The new approach follows a hybrid paradigm that combines data analysis and user requirements analysis. The first data-driven step exploits the fast and distributed processing of the spark engine to generate a general schema for each collection in the database. The second requirement-driven step consists of analyzing the semantics of the decisional requirements expressed in natural language and mapping them to the schemas of the collections. At the end of the process, a decisional schema is generated in JavaScript object notation (JSON) format and the data loading with the necessary transformations is performed.
Expression of Query in XML object-oriented databaseEditor IJCATR
Upon invent of object-oriented database, the concept of behavior in database was propounded. Before, relational database only provided a logical modeling of data and paid no attention to the operations applied on data in the system. In this paper, a method is presented for query of object-oriented database. This method has appropriate results when the user explains restrictions in a combinational matter (disjunctive and conjunctive) and assumes a weight for each one of restrictions based on their importance. Later, the obtained results are sorted based on their belonging rate to the response set. In continue, queries are explained using XML labels. The purpose is simplifying queries and objects resulted from queries to be very close to the user need and meet his expectation.
Expression of Query in XML object-oriented databaseEditor IJCATR
Upon invent of object-oriented database, the concept of behavior in database was propounded. Before, relational database
only provided a logical modeling of data and paid no attention to the operations applied on data in the system. In this paper, a method
is presented for query of object-oriented database. This method has appropriate results when the user explains restrictions in a
combinational matter (disjunctive and conjunctive) and assumes a weight for each one of restrictions based on their importance. Later,
the obtained results are sorted based on their belonging rate to the response set. In continue, queries are explained using XML labels.
The purpose is simplifying queries and objects resulted from queries to be very close to the user need and meet his expectation.
Expression of Query in XML object-oriented databaseEditor IJCATR
Upon invent of object-oriented database, the concept of behavior in database was propounded. Before, relational database
only provided a logical modeling of data and paid no attention to the operations applied on data in the system. In this paper, a method
is presented for query of object-oriented database. This method has appropriate results when the user explains restrictions in a
combinational matter (disjunctive and conjunctive) and assumes a weight for each one of restrictions based on their importance. Later,
the obtained results are sorted based on their belonging rate to the response set. In continue, queries are explained using XML labels.
The purpose is simplifying queries and objects resulted from queries to be very close to the user need and meet his expectation.
Reflections on Almost Two Decades of Research into Stream ProcessingKyumars Sheykh Esmaili
This is the slide deck that I used during my tutorial presentation at the ACM DEBS Conference (http://www.debs2017.org/) that was held in Barcelona between June 19 and June 23, 2017.
The tutorial paper itself can be accessed here: http://dl.acm.org/citation.cfm?id=3095110
EMR: A Scalable Graph-based Ranking Model for Content-based Image Retrieval1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
USING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEYcseij
For a same domain, several databases (DBs) exist. The emergence of classical web to the semantic web has
contributed to the appearance of the notion of ontology that have shared and consensual vocabulary. For a
given, it is more interesting to take advantage of existing databases, to build an ontology. Most of the data
are already stored in these databases. So many DBs can be integrated to enable reuse of existing data for
the semantic web. Even for existing ontologies, the relevance of the information they contain requires
regular updating. These databases can be useful sources to enrich these ontologies. In the other hand, for
these ontologies more than the ratio ‘size of the instances on the size of working memory’ is large more
than the management of these instances, in memory, is difficult. Finding a way to store these instances in a
structured manner to satisfy the needs of performance and reliability required for many applications
becomes an obligation. As a consequence, defining query languages to support these structures becomes a
challenge for SW community. We will show through this paper how ontologies can benefit from DBs to
increase system performance and facilitate their design cycle. The DBs in their turn suffers from several
drawbacks namely complexity of the design cycle and lack of semantics. Since ontologies are rich in
semantic, DBs can profit from this advantage to overcoming their drawbacks.
Emr a scalable graph based ranking model for content-based image retrieval
Wei_Zhao_Resume
1. Wei Zhao
Email: zhaow10@uci.edu
Cell: (949) 304 7661
Address: 4411, Palo Verde Rd. Irvine, CA 92617
Education
Sep. 2016 – Now Computer Science Master University of California, Irvine
Sep. 2011 – Jun. 2016 Structural Geology Master Peking University
Sep. 2007 – Jun. 2011 Computer Science Bachelor Peking University
Projects
Design and Implement a method for 3D meandering river channels modeling (Apr. 2015 – May. 2016)
The method can generate a 3D geological grid model about meandering river channels in different forms. Considering the imperfection and scarcity of
geological information, this method combines the deterministic and stochastic measures to generate sinuous and horn-like channels randomly. Given the
input geological constraints, it can produce a model satisfying the natural rules.
In the term of implementation, I firstly generate the river centerlines in difference layers and depict the hull of the channel. Then I fill the channel with grids
layer by layer with sweeping line algorithm. At last, according to the provided geological constraints I shift the channel models with different offsets to get the
complete 3D multi-eras channel model.
Compared with other methods, the model adopted my method from the same source data improves 30% precision at least but takes half of the time to
create. Meanwhile, it has more expressive visualization and more friendly interfaces of data output.
Develop a “3D Geological Markup Language“ (3DGML) verification system (May. 2013 – Apr. 2014)
This markup language has been used to exchange and interoperate the 3D geological model data. We develop a prototype to verify this standard is
whether comprehensive and efficient for data models provided by different software producers to transfer into other formats.
The challenges are how to express 5 different formats of models in a same frame and visit models of which size are over 500 MB fast through clients and
browsers in 2 minutes. Firstly, we design this XML-like standard to abstract the models into the same format, and then use “libxml2” library and Oracle API
“OCCI” to parse and store them into the Oracle database.
At the time we visit the model, the priority principle is to process layers from top to bottom with different queries. With this strategy, over 75% queries can
be satisfied in 30 seconds and the whole model query can be finished in 100 seconds with a user-friendly experience.
Implement a mini record-based database with C++ (Ongoing)
This course project provides an implementer's view of database management systems. It covers fundamental principles and implementation techniques,
issues, and trade-offs related to database management systems. Topics covered include storage management, buffer management, record-oriented file
systems, access methods, query processing, and query optimization.
Internship
Sep. 2012 – Apr. 2014 Creatar 3D Geology Modeling Company, Beijing, China
Courses
Data Structures, Algorithms and Analysis, Operating System, Computer Architecture, Principle of Compiler, Machine Learning and Data Mining, Probabilities
and Statistics, Discrete Mathematics, Processing of Nature Language, Introduction to Geological Information System
Skills
Language: C/C++, Python, SQL, XML
Database: Oracle Spatial Database
Publications
A research on service of Australia’s geologic material and some inspiration for China[J], ZHAO Wei, China Mining Magazine, Jul. 2013, vol.22, No.7
Honors
2013 PKU 13th Programming Contest, the third prize
2013 PKU Merit Student
2011 & 2012 PKU Soccer Championship, the 2nd place
![Wei Zhao
Email: zhaow10@uci.edu
Cell: (949) 304 7661
Address: 4411, Palo Verde Rd. Irvine, CA 92617
Education
Sep. 2016 – Now Computer Science Master University of California, Irvine
Sep. 2011 – Jun. 2016 Structural Geology Master Peking University
Sep. 2007 – Jun. 2011 Computer Science Bachelor Peking University
Projects
Design and Implement a method for 3D meandering river channels modeling (Apr. 2015 – May. 2016)
The method can generate a 3D geological grid model about meandering river channels in different forms. Considering the imperfection and scarcity of
geological information, this method combines the deterministic and stochastic measures to generate sinuous and horn-like channels randomly. Given the
input geological constraints, it can produce a model satisfying the natural rules.
In the term of implementation, I firstly generate the river centerlines in difference layers and depict the hull of the channel. Then I fill the channel with grids
layer by layer with sweeping line algorithm. At last, according to the provided geological constraints I shift the channel models with different offsets to get the
complete 3D multi-eras channel model.
Compared with other methods, the model adopted my method from the same source data improves 30% precision at least but takes half of the time to
create. Meanwhile, it has more expressive visualization and more friendly interfaces of data output.
Develop a “3D Geological Markup Language“ (3DGML) verification system (May. 2013 – Apr. 2014)
This markup language has been used to exchange and interoperate the 3D geological model data. We develop a prototype to verify this standard is
whether comprehensive and efficient for data models provided by different software producers to transfer into other formats.
The challenges are how to express 5 different formats of models in a same frame and visit models of which size are over 500 MB fast through clients and
browsers in 2 minutes. Firstly, we design this XML-like standard to abstract the models into the same format, and then use “libxml2” library and Oracle API
“OCCI” to parse and store them into the Oracle database.
At the time we visit the model, the priority principle is to process layers from top to bottom with different queries. With this strategy, over 75% queries can
be satisfied in 30 seconds and the whole model query can be finished in 100 seconds with a user-friendly experience.
Implement a mini record-based database with C++ (Ongoing)
This course project provides an implementer's view of database management systems. It covers fundamental principles and implementation techniques,
issues, and trade-offs related to database management systems. Topics covered include storage management, buffer management, record-oriented file
systems, access methods, query processing, and query optimization.
Internship
Sep. 2012 – Apr. 2014 Creatar 3D Geology Modeling Company, Beijing, China
Courses
Data Structures, Algorithms and Analysis, Operating System, Computer Architecture, Principle of Compiler, Machine Learning and Data Mining, Probabilities
and Statistics, Discrete Mathematics, Processing of Nature Language, Introduction to Geological Information System
Skills
Language: C/C++, Python, SQL, XML
Database: Oracle Spatial Database
Publications
A research on service of Australia’s geologic material and some inspiration for China[J], ZHAO Wei, China Mining Magazine, Jul. 2013, vol.22, No.7
Honors
2013 PKU 13th Programming Contest, the third prize
2013 PKU Merit Student
2011 & 2012 PKU Soccer Championship, the 2nd place](https://image.slidesharecdn.com/1682b86f-32aa-4581-ab33-1023010c1874-161013062333/85/Wei_Zhao_Resume-1-320.jpg)
