My name is Rui Wang. I'm a master student at CMU majoring in Electrical and Computer Engineering. As I graduated this May 2016, I am now seeking for full-time job opportunities.
During my undergraduate and graduate study I did many projects, such as Android app development, Java application development, web crawler and so on. By doing these projects, I was able to equip myself with a skill set of programming languages such as JAVA, Python, C/C++, and Matlab. In my graduate studies at CMU, I worked on distributed system and I continued developing android apps and Java development.Java for Smart Phone Development helped me improve my Java coding techniques, during which I participated in an Android application project. Numerical Methods for Engineering Design and Optimization offered me an important tool to solve many practical engineering problems and different optimizing algorithms. Coding Boot Camp taught me very useful algorithms and data structure to solve realistic problems and analyze the complexity of the solution which can help me to develop some other solutions with better performance. Thanks for your interest on me！
An Open Solution for Next-generation Real-time Power System SimulationSteffen Vogel
The interconnection of power systems in conjunction with faster dynamics, caused by power electronics, increases the complexity of power system simulations for future grids. We propose an open platform as a solution which supports several important features. Grid models are stored in the Common Information Model (CIM) and the platform presents a uniform interface to several commercial and non-commercial Digital Real-time Simulator (DRTS) which can be used in parallel for co-simulation. A web-based interface is used to promote collaboration between research groups during planning and execution of simulation scenarios. Besides, this solution is designed for real-time simulation which allows the integration and testing of hardware components. Several components of the proposed platform have already been used for experiments and are available as open-source.
ECL-Watch: A Big Data Application Performance Tuning Tool in the HPCC Systems...HPCC Systems
Lily Xu, PhD Student, Clemson University presents her paper, ECL-Watch: A Big Data Application Performance Tuning Tool in the HPCC Systems Platform at the Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD) as part of the 2017 IEEE International Conference on Big Data.
On-the-fly Integration of Static and Dynamic Linked Dataaharth
Slides of COLD 2013 Paper "On-the-fly Integration of Static and Dynamic Linked Data", Andreas Harth (KIT), Craig Knoblock (USC), Steffen Stadtmüller (KIT), Rudi Studer (KIT), Pedro Szekely (USC)
f you have any further questions, please don't hesitate to contact me. Please feel free to call me on (telephone) or contact by (email), if you require any further information.
My name is Rui Wang. I'm a master student at CMU majoring in Electrical and Computer Engineering. As I graduated this May 2016, I am now seeking for full-time job opportunities.
During my undergraduate and graduate study I did many projects, such as Android app development, Java application development, web crawler and so on. By doing these projects, I was able to equip myself with a skill set of programming languages such as JAVA, Python, C/C++, and Matlab. In my graduate studies at CMU, I worked on distributed system and I continued developing android apps and Java development.Java for Smart Phone Development helped me improve my Java coding techniques, during which I participated in an Android application project. Numerical Methods for Engineering Design and Optimization offered me an important tool to solve many practical engineering problems and different optimizing algorithms. Coding Boot Camp taught me very useful algorithms and data structure to solve realistic problems and analyze the complexity of the solution which can help me to develop some other solutions with better performance. Thanks for your interest on me！
An Open Solution for Next-generation Real-time Power System SimulationSteffen Vogel
The interconnection of power systems in conjunction with faster dynamics, caused by power electronics, increases the complexity of power system simulations for future grids. We propose an open platform as a solution which supports several important features. Grid models are stored in the Common Information Model (CIM) and the platform presents a uniform interface to several commercial and non-commercial Digital Real-time Simulator (DRTS) which can be used in parallel for co-simulation. A web-based interface is used to promote collaboration between research groups during planning and execution of simulation scenarios. Besides, this solution is designed for real-time simulation which allows the integration and testing of hardware components. Several components of the proposed platform have already been used for experiments and are available as open-source.
ECL-Watch: A Big Data Application Performance Tuning Tool in the HPCC Systems...HPCC Systems
Lily Xu, PhD Student, Clemson University presents her paper, ECL-Watch: A Big Data Application Performance Tuning Tool in the HPCC Systems Platform at the Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD) as part of the 2017 IEEE International Conference on Big Data.
On-the-fly Integration of Static and Dynamic Linked Dataaharth
Slides of COLD 2013 Paper "On-the-fly Integration of Static and Dynamic Linked Data", Andreas Harth (KIT), Craig Knoblock (USC), Steffen Stadtmüller (KIT), Rudi Studer (KIT), Pedro Szekely (USC)
f you have any further questions, please don't hesitate to contact me. Please feel free to call me on (telephone) or contact by (email), if you require any further information.
Scalable Graph Convolutional Network Based Link Prediction on a Distributed G...miyurud
Graph Convolutional Networks (GCN) have become a popular means of performing link prediction due to the high accuracy offered by them. However, scaling such link prediction into large graphs of billions of vertices and edges with rich types of attributes is a significant issue to be addressed due to the storage and computation limitations of the machines. In this paper we present a scalable link prediction approach which conducts GCN training and link prediction on top of a distributed graph database server called JasmineGraph. We partition graph data and persist them in multiple workers. We implement parallel graph node embedding generation using GraphSAGE algorithm in multiple workers. Our approach avoids facing performance bottlenecks in GCN training using an intelligent scheduling algorithm. We show our approach scales well with an increasing number of partitions (2,4,8, and 16) using four real world data sets called Twitter, Amazon, Reddit, and DBLP-V11. JasmineGraph was able to train a GCN from the largest dataset DBLP-V11 ($>$ 9.3GB) in 11 hours and 40 minutes time using 16 workers on a single server while the original GraphSAGE implementation could not process it at all. The original GraphSAGE implementation processed the second largest dataset Reddit in 238 minutes while JasmineGraph took only 100 minutes on the same hardware with 16 workers leading to 2.4 times improved performance.
An Improved Differential Evolution Algorithm for Data Stream ClusteringIJECEIAES
A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that the number of clusters (K) has to be fixed by the customer based on input data and it can be kept settled all through the clustering process. Stream clustering has faced few difficulties in picking up K. In this paper, we propose an efficient approach for data stream clustering by embracing an Improved Differential Evolution (IDE) algorithm. The IDE algorithm is one of the quick, powerful and productive global optimization approach for programmed clustering. In our proposed approach, we additionally apply an entropy based method for distinguishing the concept drift in the data stream and in this way updating the clustering procedure online. We demonstrated that our proposed method is contrasted with Genetic Algorithm and identified as proficient optimization algorithm. The performance of our proposed technique is assessed and cr eates the accuracy of 92.29%, the precision is 86.96%, recall is 90.30% and F-measure estimate is 88.60%.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Planning Of Procurement o different goods and services
Satwik mishra resume
1. Satwik Mishra E-mail: satwik.mishra1995@gmail.com Tel: +1 585-754-5924
Education
2018-2021(Exp) Rochester Institute of Technology, NY, USA, Master’s Computer Science
CGPA: 3.85/4
2014-2018 Manipal Institute of Technology, Manipal, India, Bachelor of Technology (Information Technology)
CGPA: 8.29/10
Work Experience
Aug ’19 – Dec’19 Trimble Inc. Victor, NY
Software Engineer Intern | Fall Co-op
• Researched on ESRI's ArcGis GeoEvent Server and implemented a POC for automating and making
the process of conversion of 811 Dig tickets to work-orders independent of original message format
(JSON/XML/CSV) and sending the work-orders to Trimble Unity REST Endpoint.
• Integration of GainsightPX and Salesforce instance: fetch Trimble Unity KPIs like usage statistics, NPS
• Stress testing with NeoLoad and Datadog Synthetics.
• Tech stack: AWS EC2 Servers, Python, JS, Node.js, Bash, Visual Scripting on Esri's GeoEvent Server,
Apex, Visualforce Controllers, NeoLoad, Datadog.
May’17 – July ’17 Apollo Munich Health Insurance Gurgaon, India
Data Science Intern | Summer Internship
• Implemented a fraudulent health insurance claim prediction model using Python. Created an
ensemble of Random Forest, Gradient Boosting and XGBoost.
• Implemented a GUI to fetch tweets and give public sentiment analysis for a given company name.
• Libraries used - Sklearn, imblearn, XGBoost, Seaborn, Tweepy, TextBlob, NLTK, Wordcloud, PyQt
Technical Skills
• Programming: Python, Java, C++, Apex (Salesforce)
• Database: MySQL, PostgreSQL, MongoDB
• Frameworks: ROS, JDBC, Gradle, Tensorflow, PyTorch, NLTK
• Concepts: Localization (Kalman, Particle), Mapping, OOP, NLP, TCP/UDP, Multithreading
• Cloud: AWS: EC2, DynamoDB, S3, VPC, SQSs
• Web: Flask, Websockets (Socket.IO), JavaScript, HTML, CSS
Projects
Feb’20 – April ’20 Handwritten Math Expression: Segmentation + Classification Rochester, NY
Preprocessing, Feature Engineering, Graph based segmentation
• Worked on CROHME data set to segment mathematical expressions and classify symbols.
• Implemented a pipeline for multithreaded preprocessing and feature extraction, an MST as the
segmentation model, and random forest for classification.
Feb’20 – Feb ’20 Automated Canonical Cover Computation and 3NF Decomposition Rochester, NY
Relational Database, Big Data
• Given a relation, find the Functional Dependencies using Naïve approach, compute candidate keys,
and then finally canonical cover and the 3NF decomposition.
• Implemented a Gradle project using JDBC framework, and MySQL.
Aug’18 – Aug ’18 Synchronized Producer Consumer across Different Servers Rochester, NY
Java, Multithreading, Socket programming
• The objective is to run producer, consumer, and the storage program on different servers, and
synchronize all the interactions among them using Semaphores to prevent deadlock.
Jan’18 – May ’18 Lung Cancer Detection using Deep Learning, 3D CNN Manipal, India
TensorFlow, Data augmentation
• Developed an algorithm using 3D CNN with an ensemble of different activation functions and data
augmentation to determine when lesions in the lungs are cancerous.
• Data set: High-resolution CT Scans of lungs provided by Kaggle.
Aug’16 – Nov ’16 Movie Recommendation using Collaborative Filtering Manipal, India
Hadoop MapReduce, Sentiment Analysis
• To recommend movies using Collaborative filtering and sentiment analysis incorporated with
MapReduce.
• Implemented mapper and reducer classes and performed sentiment analysis on movie reviews,
computed Tanimoto co-efficient for item-based filtering.
Research
Dec ’17 Bagging and Boosting with Equivalent Space Consumption Manipal, India
Scopus | Author
• Implemented and compared the various trade-offs between Bagging and Boosting Algorithms under
different conditions. Publication Journal of Advanced Research in Dynamical and Control Systems
Links: Portfolio, Github, LinkedIn
