Brian Kurilko is seeking a computer science position utilizing his programming experience. He has a bachelor's degree in computer science from the University of Michigan where he took courses in computer organization, data structures, databases, and computer vision. He has programming experience in C++, C, Java, MATLAB, Python, and SQL and has implemented testing techniques and translated specifications into working code. Additionally, he held leadership roles as social committee chairman for a golf scholarship and as head busboy for his fraternity.
A selection of excellent Dhamma Books for free distribution. Tremendous benefit can be derived from reading and reflecting on the writings. The books can be downloaded from the Forest Sangha Web site.
C OMPREHENSIVE S TUDY OF A COUSTIC C HANNEL M ODELS FOR U NDERWATER W I...IJCI JOURNAL
In underwater acoustic communication, shallow water
and deep water are two different mediums which
exhibit many challenges to deal with due to the tim
e varying multipath and Doppler Effect in the forme
r
case and multipath propagation in the latter case.
In this paper, the characteristics of the acoustic
propagation are described in detail and channel mod
els based on the various propagation phenomena in
shallow water channel and deep water channel as wel
l are presented and the transmission losses incurre
d
in each model are thoroughly investigated. Signal t
o noise ratio (SNR) at the receiver is thoroughly
analyzed. Numerical results obtained through analyt
ical simulations carried out in MATLAB bring to lig
ht
the important issues to be considered so as to deve
lop suitable communication protocols for Underwater
Wireless Communication Networks (UWCNs) to provide
effective and reliable communication.
A selection of excellent Dhamma Books for free distribution. Tremendous benefit can be derived from reading and reflecting on the writings. The books can be downloaded from the Forest Sangha Web site.
C OMPREHENSIVE S TUDY OF A COUSTIC C HANNEL M ODELS FOR U NDERWATER W I...IJCI JOURNAL
In underwater acoustic communication, shallow water
and deep water are two different mediums which
exhibit many challenges to deal with due to the tim
e varying multipath and Doppler Effect in the forme
r
case and multipath propagation in the latter case.
In this paper, the characteristics of the acoustic
propagation are described in detail and channel mod
els based on the various propagation phenomena in
shallow water channel and deep water channel as wel
l are presented and the transmission losses incurre
d
in each model are thoroughly investigated. Signal t
o noise ratio (SNR) at the receiver is thoroughly
analyzed. Numerical results obtained through analyt
ical simulations carried out in MATLAB bring to lig
ht
the important issues to be considered so as to deve
lop suitable communication protocols for Underwater
Wireless Communication Networks (UWCNs) to provide
effective and reliable communication.
Mobile Application Developer and Web Application Developer resume which highlights my use or team work and interpersonal skills to learn quickly and understand a client or user.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
Brian Kurilko resume
1. Brian P. Kurilko
1800 Washtenaw Ave. ∙ Ann Arbor, MI 48104
kurilkob@umich.edu ∙ (734) 759 7450
OBJECTIVE Seeking employment in the field of computer science. Interested in using programming experience for
real-world applications in a full time position.
EDUCATION UNIVERSITY OF MICHIGAN Ann Arbor, MI
2012-2016 Computer Science – School of LSA
Successful course work includes:
Computer Organization
Data Structures and Algorithms
Programming and Intro Data Structures
Intro to Databases and Database Management Systems
Computer Vision
PROGRAMMING EXPERIENCE
• Developed several unique programs using C++, C, Java, MATLAB, Python, and SQL to
demonstrate skills with data analysis, object-oriented programming, decoding logic puzzles,
and approximating solutions to NP-hard problems.
• Implemented different testing techniques to find, troubleshoot, and solve problems within
program algorithms.
• Translated project specifications into working code that fulfilled the project’s requirements.
LEADERSHIP EVANS SCHOLAR – Western Golf Association Ann Arbor, MI
2011-2013 Social Committee Chairman
• Full tuition four-year scholarship for excellence in academics, caddying and leadership
• Elected by peers to position of Social Committee Chairman
• Coordinated chapter social activities and Evans Scholar and ES Alumni events
WORK Edward C. Levy Co. Dearborn, MI
EXPERIENCE Internships - Summers 2012-2015
• Systems analyst for safety systems in six steel manufacturing plants
• Data analysis and input regarding OSHA regulations in relation to plan operations
• One-on-one interaction with skilled trades and hourly workers
2012-present Alpha Phi Sorority – University of Michigan Ann Arbor, MI
Head Busboy
• Created work schedules and managed staff of food service workers
• Worked in sorority as food and table service employee
2007-2011 Grosse Ile Golf and Country Club Grosse Ile, MI
Golf Services Employee, Club Starter, and Caddie
• Scheduled tee times, caddies, tournaments, and trained employees
• Accommodated club member needs and inquiries on a professional basis
• Golf caddie for club members
ADDITIONAL U.S. citizen
Platforms: Windows 7, Windows XP, Red Hat Linux
Languages: C++, C, Python, Sql, Java, MATLAB
