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t Architecture of the internet of things Fog / edge computing Summary
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- Distributed Systems 19
- Machine Learning 19
- Secure Computing 16
- Recommender Systems 15
- Data Structures and Algorithms 13
- Daily Tech News 10
- Projects 9
- CS Papers 7
- Study 4
- Jekyll Blog 4
- Other 2
- Information Storage Management (ISM) 2
- LinkedIn Learning 1
Distributed Systems
Big Data, MapReduce and Hadoop
Big Data What is MapReduce? MapReduce Distributed file system Summary
Cloud Computing II
A Layered Cloud Architecture Taxonomy of Cloud Models Cloud Architecture Virtual Infrastructure Manager Virtual Machines versus Containers Clou...
Cloud Computing I
Distributed Computing Paradigms Cloud computing – Definition Cloud data centers Virtualized infrastructures – Benefits The vision of cloud A (l...
Fault Tolerance
Dependability – Requirements Terminology Failure models Failure Masking by Redundancy Groups and Failure Masking The Byzantine Generals problem
Timing and Synchronization
Time in Distributed System Synchronization model Synchronization algorithms Cristian’s Algorithm Berkeley Algorithm Election Al...
Naming III – Attribute based Naming
Domain Name System (DNS) DNS Zone Data Attribute-base Naming: Directory Services LDAP: Lightweight Directory Access Protocol* Java Naming and Dire...
Naming II – Structured naming
Namespaces Name Resolution Mounting Namespace implementation Name resolution (navigation) methods Iterative resolution Recursive...
Naming I – Flat Naming
Function of a naming system** Flat naming systems 1. Broadcasting 2. Forwarding pointers 3. Home-based approach 4. Distrib...
Programming RESTful Web Services in Java
The Rest way of implementing the Web Service The SOAP way of implementing the Web Service Data Encoding and RPC Steps
Representational State Transfer (REST)
What is REST? The REST way of implementing the Web Services Claimed Benefits REST vs SOAP differences
Web Services - Java
Definition of Web Service Available libraries Writing a client Developing a server using JAX-WS Summary
Web Services
Service Oriented Architecture What are Web Services? What are Web Services Protocols? The Big picture SOAP: Simple Object Access Protocol WSDL:...
Service Oriented Architecture
Architectures One-tier Architectures Two-tier Architectures Three-tier Architectures N-tier Architectures Service-O...
Message Oriented Communication
Layered Protocols Middleware Protocols Types of Communications Remote Procedure Call (RPC) RPC operation Interaction using Asynchro...
Distributed Systems Architectures
Architectural Style 1. Layered Architecture 2. Object based style 3. Resource based Architectures 4. Event based architecture...
Introduction to Distributed Systems II
Centralised vs decentralised systems Types of distributed Systems** 1 - High performance distributed computing systems** 2 - Distribute...
Introduction to Distributed Systems
Definition of a Distributed System Examples of Dist. sys Middleware Challenges for Distributed Systems Goals for Distributed Systems Scaling Tec...
Distributed System - Table of Contents
In this series of notes, various aspects of distributed systems are covered. The books referenced includes: Tanenbaum A & van Steen M, Di...
Machine Learning
K means
18. K means
Markov Decision Processes
17. Markov Decision Processes
Support Vector Machines IV
16. Support Vector Machines IV
Support Vector Machines III
15. Support Vector Machines III
Support Vector Machines II
14. Support Vector Machines II
Support Vector Machines
13. Support Vector Machines
Decision Trees
12. Decision Trees
Linear Models for Regression
11. Linear Models for Regression
Multi-Layer Neural Networks
10. Multi-Layer Neural Networks
Convolutional Neural Networks
9. Convolutional Neural Networks
Multi Layer Neural Networks
8. Multi Layer Neural Networks
Perceptron III
7. Perceptron III
Neural Networks: Perceptron II
6. Neural Networks: Perceptron II
Elements of Local Optimisation
5. Elements of Local Optimisation
Neural Networks: Perceptron
4. Neural Networks: Perceptron
Nearest Neighbour Methods
3. Nearest Neighbour Methods
Machine Learning Evaluation
2. Machine Learning Evaluation
Introduction
1. Introduction
Machine Learning - Table of Contents
In this series of notes, you will will: List the principle algorithms used in machine learning and derive their update rules Appreciate the capabilities...
Secure Computing
Intrusion Detection & incident response
15. Intrusion Detection & incident response
Finding, reporting and avoiding vulnerabilities
14. Finding, reporting and avoiding vulnerabilities
Low-level vulnerabilities
13. Low-level vulnerabilities
Buffer Overrun
12. Buffer Overrun
Command injection & input validation
11. Command injection & input validation
Abuse of DNS, ARP & application protocols
10. Abuse of DNS, ARP & application protocols
Network defences
9. Network defences
TCP/IP networking threats
8. TCP/IP networking threats
User authentication
7. User authentication
Randomness
6. Randomness
Public key cryptography
5. Public key cryptography
Message authentication
4. Message authentication
Symmetric Ciphers
3. Symmetric Ciphers
Threat modelling
2. Threat modelling
Introduction
1. Introduction
Secure Computing - Table of Contents
In this series of notes, it will cover contents about software security, such as: Cryptography: the role of cryptography in security, modern cryptograph...
Recommender Systems
Evaluation of user adaptive systems
At what stage is the system that you are evaluating? Layered evaluation 1. Collection of input data – information about the user 2. ...
Adaptive content presentation
Part 1 – Static approaches Adaptive content presentation – two steps Page based approaches Fragment based approaches Par...
Group recommendations
Main steps for group recommendations Aggregation Strategies Aggregation strategies: Average Aggregation strategies: Multiplicative ...
Recommender Systems (Part 4): Evaluation
Data driven evaluation - Rating Accuracy Data driven evaluation - Usage Prediction
Recommender systems (Part 3): Hybrid Recommenders
Hybridization Sources for recommendations Recommender algorithms Comparing recommender algorithms Pros and cons of recommender algor...
Recommender systems (Part 2) – Collaborative filtering
Collaborative filtering 1.1 Step 1 - Represent input data 1.2 Step 2 - Find nearest neighbours 1.3 Step 3 - Predictions/ recommendations Pros and...
Recommender systems (Part 1) – Knowledge-based recommenders
CHIP tools Discovering connections via reasoning User profile building Summary: Knowledge based filtering
Recommender systems (Part 1) – Content-based Recommenders
CBF when user model is based on keywords CBF when user model is based on Facets, values, ratings CBF when user model is based on Graphs/ concepts
Stereotypes (User categories)
Concept of a ‘stereotype’ Stereotype: Structure Limitations of stereotyping Combining stereotypes Building stereotypes Resolving stereotype cont...
Example: User engagement modelling
1. User engagement 2. Metrics 3. Interpretations
User Models and Profiles (building)
User Information Collection 1.1 Explicit user information collection 1.2 Implicit user information collection 1.3 Techniques for implicit user ...
User models and profiles (representation)
What can be modelled in a user model/ user profile Knowledge Interests – came from recommender system, profile of the user Goals and tasks Backgroun...
General Schema of User Adaptive Systems
Schema of user-Adaptive Systems Main definitions Examples
Introduction
The personalisation buzz Why do we need personalisation? Two Types of personalisation Personalisation from consumer perspective Personalisation o...
Recommender Systems - Table of Contents
User Adaptive Systems personalises and tailors the vast amount of information into what we need, want and what best fits our current needs. The notes wi...
Data Structures and Algorithms
[Leetcode] 191. Number of 1 Bits (Python)
https://leetcode.com/problems/number-of-1-bits/
[Leetcode] 206. Reverse Linked List (Python)
Explanation 링크드 리스트 뒤집기는 기본적이고, 정말 많이 나오는 알고리즘중 하나입니다. 시간복잡도는 O(n)이며, 총 3개의 스텝으로 이루어집니다. 이미지와 함께하면 이해가 빠를겁니다. 출처
[Leetcode] 53. Maximum Subarray - Kadane’s Algorithm 카데인 알고리즘 (Python)
Problem Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
[Coderbyte] Tree Constructor (Python)
Problem Statement TreeConstructor(strArr) take the array of strings stored in strArr, which will contain pairs of integers in the following format: (i1,i2), ...
[Coderbyte] String Number Calculation - convert word to integer (Python)
Problem Statement Given a string strParam with numeric words, perform the calculation and return value as a string. if the value is <=0, say negative xx.
[Coderbyte] Reverse Polish Notation (Python)
Problem Statement Reverse Polish Notation: It is a mathematical notation in which operators follow their operands. Watch this video for more detailed explana...
[Leetcode] 20. Valid Parentheses (Python)
Problem Statement Given a string s containing just the characters ‘(‘, ‘)’, ‘{‘, ‘}’, ‘[’ and ‘]’, determine if the input string is valid.
[Linked List] 21. Merge Two Sorted Lists (Python)
Problem Statement Merge two sorted linked lists and return it as a sorted list. The list should be made by splicing together the nodes of the first two lists.
[카카오] 카카오 신규 아이디 추천 코드- regex 정규식 사용하기 (Python)
2021년 카카오 블라인드 채용 코딩테스트중, 기본 문제 “카카오 신규 아이디 추천”의 코드와 풀이입니다. 정규식을 사용하면 원하는 문자열 그룹을 아주 쉽게 정의할 수 있습니다. 쉽게 풀어놨으니 꼭 찬찬히 보고 이해해보세요!
[Linked List] 2. Add two numbers
Problem Statement
[Other] Missing Number and Duplicates
Table of Contents Q: Find a missing number and duplicates in a given array Find a missing number in a given array 1.1 Example 1.2 Code Implementation...
HackerRank Interview Preparation Kit
Python implementation will be linked below.
[Other] Set Bits of a Binary Tree (C)
Table of Contents Q: Implement a function that counts the set bit of a binary tree in C. What is a Binary Tree? 1.1 Binary Search Tree Steps and Pseud...
Daily Tech News
March Technology News
NFTs Are Coming to Instagram, Zuckerberg Says How the shift to edge computing is impacting enterprises How AI will change the data center and the IT ...
May Technology News
Microsoft Makes Big Bet on Health-Care AI Technology With Nuance - Digitizing Healthcare 오케스트로, KETI와 차세대 AI옵스 기술 개발 Dell Technologies Unlocks Value ...
February, March Technology News
Table of Contents Carmakers wake up to new pecking order as chip crunch intensifies Google, Facebook battle Australia over proposed revenue-sharing law...
January Technology News
Table of Contents Los Angeles to offer vaccine record on iPhones UK competition watchdog to probe Nvidia’s Arm takeover Apple, Hyundai set to agree e...
December Technology News
December’s Tech Updates December’s Tech Updates Brazilian soy farmers try 5G technology with Huawei equipment EU sets out search ranking guidelines fo...
November Technology News
November’s Tech Updates
September/ October Technology News
September/ October’s Tech Updates
August Technology News
August’s Tech Updates
July Technology News
July’s Tech Updates
‘Daily Tech News’ Category
This category includes a summary of daily technology news. It will cover current trends, new issues or technology of the month. It will follow the 6-W’s writ...
Projects
[EdgeCloudSim] - How to generate EdgeCloudSim MATLAB graphs
👩🏻💻 A Final Year Project on Edge Computing that simulates and evaluates different edge architectures
UniCycle - Bike Hire
🚲 Hire bicycle from main spots of Leeds - view, book, and pay all in one go!
User Management System
🌱 A full-stack Springboot-React web application that implements a User control system
Rate and View Professors
👩🏻💻 Rate and view your professors from various modules, semesters and years!
OpenGL-Leeds Scene
🏰 Renders the landmarks of Leeds! - Millennium square, a carousel and Leeds University’s Bacon statue
Leeds Inspired Search
💃 Search the kind of event you want to attend, and scroll through Yelp’s recommendations of places to go, eat, and drink nearby!
Edge Computing Simulation
👩🏻💻 A Final Year Project on Edge Computing that simulates and evaluates different edge architectures
Crawl and Search
🔎 A Search tool that crawls the ‘webscraping’ website to provide you with country search functionality!
Convolutional-Neural-Network
🧠 Correctly classify the fashion images from Zalando’s Fashion-MNIST dataset.
CS Papers
뉴노멀 시대, 인텔리전스 업무 자동화 전략 - 엔터프라이즈 등급 지능형 자동화의 특징과 사례
엔터프라이즈 등급의 지능형 자동화의 특징 1. 연결성 2. 개방성 - Tech Expansion 3. 인간과 협업 - Interactivity AI/ML을 접목한 지능형 자동화 성공사례 1 - 화이자...
Making 5G Enterprise Real- 5G를 통한 기업의 혁신
모바일 산업의 대폭적인 성장 5G vs 4G 엣지 영역으로 흐르는 데이터 다양한 혁신 서비스 5g, edge and cloud 5g network edge use case의 진화
5G 기술 및 엣지(Edge) 영역에서의 주요 사례
MEC(Mobile Edge Computing) DELL Technology의 엣지 솔루션 사례 엣지 데이터의 특징 5G 시장의 발전 방향 - Telecom/Enterprise MEC 엣지 컴퓨팅의 장점 MEC 구축 방식 적용사례- 2020년 한국판 디...
5G와 엣지 컴퓨팅의 만남, ‘비즈니스 혁신’ 어떻게 이끌어 낼까 - 5G and Edge Computing - The road to Digital Transformation
As the era of the 5th generation mobile communication (5G) accelerates, various services using it are being activated. 5G’s characteristics being low-latency...
Edge computing security risks and how to overcome them
Edge computing deploys computing resources outside the data center that is closer to end devices, such as IoT elements. This leads to the loss of the physica...
Security Issues of Edge Computing
Edge computing is expected to undergo explosive growth over the next few decades, due to the developments in 5G and Internet of Things (IoT).
Trends, Problems And Solutions of Recommender System
Table of Contents Recommender System at Ground Zero Breeds of Recommender System Challenges and Solutions of Recommender System Link to the Paper
Study
Secure Computing - Table of Contents
In this series of notes, it will cover contents about software security, such as: Cryptography: the role of cryptography in security, modern cryptograph...
Recommender Systems - Table of Contents
User Adaptive Systems personalises and tailors the vast amount of information into what we need, want and what best fits our current needs. The notes wi...
Machine Learning - Table of Contents
In this series of notes, you will will: List the principle algorithms used in machine learning and derive their update rules Appreciate the capabilities...
Distributed System - Table of Contents
In this series of notes, various aspects of distributed systems are covered. The books referenced includes: Tanenbaum A & van Steen M, Di...
Jekyll Blog
[Jekyll] 깃허브 지킬 블로그 글 폴더별로 나누기 (카테고리별 구분)
안녕하세요. 오늘은 깃허브 블로그의 포스트들을 카테고리 별 폴더로 나누는법을 알아볼게요.
[Jekyll] 깃허브 지킬 블로그 폰트와 사이즈 바꾸기
안녕하세요. 오늘은 깃허브 블로그의 폰트를 바꾸는 법을 알아볼게요! 폰트는 블로그 첫 인상이나 가독성에 큰 영향을 주는 것 같아요. 그만큼 블로그의 디자인이나 특성을 고려해서 여러가지 폰트로 바꿔보는 것도 중요하구요.
[Jekyll] 깃허브 지킬 블로그 드롭다운 메뉴, 서브 카테고리 만들기 (Jekyll hierarchical category)
안녕하세요. 오늘은 깃허브 블로그의 상단 메뉴바에 드롭다운, 또는 서브메뉴 만드는 법을 알아볼게요.
[Jekyll] 깃허브 지킬 블로그 구글 검색에 나타나게 하기 - 사이트맵 추가하기
🗺 안녕하세요, 오늘은 사이트가 서치에 걸리게 하기 위해선 필수! 인 사이트맵 추가 방법을 다뤄보겠습니다. 추가로 구글 서치 콘솔에 사이트맵 등록하는 법과 몇가지 주의점을 추가해 봤어요.
Other
PMI Agile Certified Practitioner (PMI-ACP) - 1. Defining valuable deliverables
Hi! I recently started a course on Agile Certified Practitioner offered by PMI from LinkedIn learning. I found Agile to be a very effective framework when it...
University of Leeds Empirical Investigation Tips - 1. Introduction
👋🏼 Hi! I’ve graduated with a degree in Computer Science from Leeds University last year, and had a pretty successful project (in my opinion 😅) so I thought I...
Information Storage Management (ISM)
- Introduction to Information Storage
##1. Introduction to Information Storage
Information Storage Management (ISM) - Table of Contents
Dell Information Storage and Management ISM V4 - Virtual Classroom By 조문영 부장님 교육 일정: 2021/8/2 ~ 2021/8/6 (5일) 교육 시간: 09:30 ~ 17:30 (하루 7시간, 총 35시간) 교육...
LinkedIn Learning
PMI Agile Certified Practitioner (PMI-ACP) - 1. Defining valuable deliverables
Hi! I recently started a course on Agile Certified Practitioner offered by PMI from LinkedIn learning. I found Agile to be a very effective framework when it...