In this talk, Dmitry shares his approach to feature engineering which he used successfully in various Kaggle competitions. He covers common techniques used to convert your features into numeric representation used by ML algorithms.
Brighton SEO - Measurefest talk.
With data visualisation, you can uncover insights much easier than reading through a list of numbers. In this talk you will find how you should use Google Data Studio and Power BI for visualizing SEO performance. This will help you to tell the correct SEO data stories.
Neural Language Generation Head to Toe Hady Elsahar
This is a gentle introduction to Natural language Generation (NLG) using deep learning. If you are a computer science practitioner with basic knowledge about Machine learning. This is a gentle intuitive introduction to Language Generation using Neural Networks. It takes you in a journey from the basic intuitions behind modeling language and how to model probabilities of sequences to recurrent neural networks to large Transformers models that you have seen in the news like GPT2/GPT3. The tutorial wraps up with a summary on the ethical implications of training such large language models on uncurated text from the internet.
안녕하세요 딥논읽 입니다 오늘 소개드릴 논문은 'LayoutLM'입니다 !
여러 회사에서 스캔 된 문서의 텍스트를 추출하여 이해하는 기술에 대한 수요가 증가하고 있습니다. 하지만 뒷받침할 모델들이 많이 학습이 되지 않고 있는 상황입니다
문제는 이제 Label된 Dataset이 극도로 부족한데 이런 문제를 해결하기 위해서
Unlabel Dataset을 활용을 해야 하지만 연구가 충분히 이루어지지 못하고 있습니다
기존의 모델들은 OCR같은 사전에 학습된 CV모델만을 활용하거나 반대로 NLP 모델만 활용을 하고 있고 이 두 개 모델을 같이 활용된 pre-training 모델이 존재하지 않습니다
그래서 이 논문에서는 컴퓨터 비전과 NLP 를 동시에 사용하는 pre-training 모델을 사용하는 LayoutLM에 대해 제안합니다!
오늘 논문 리뷰는 딥논읽 자연어 처리팀 박희수 님이 자세한 리뷰 도와주셨습니다.
오늘도 많은 관심 미리 감사드립니다!
In this talk, Dmitry shares his approach to feature engineering which he used successfully in various Kaggle competitions. He covers common techniques used to convert your features into numeric representation used by ML algorithms.
Brighton SEO - Measurefest talk.
With data visualisation, you can uncover insights much easier than reading through a list of numbers. In this talk you will find how you should use Google Data Studio and Power BI for visualizing SEO performance. This will help you to tell the correct SEO data stories.
Neural Language Generation Head to Toe Hady Elsahar
This is a gentle introduction to Natural language Generation (NLG) using deep learning. If you are a computer science practitioner with basic knowledge about Machine learning. This is a gentle intuitive introduction to Language Generation using Neural Networks. It takes you in a journey from the basic intuitions behind modeling language and how to model probabilities of sequences to recurrent neural networks to large Transformers models that you have seen in the news like GPT2/GPT3. The tutorial wraps up with a summary on the ethical implications of training such large language models on uncurated text from the internet.
안녕하세요 딥논읽 입니다 오늘 소개드릴 논문은 'LayoutLM'입니다 !
여러 회사에서 스캔 된 문서의 텍스트를 추출하여 이해하는 기술에 대한 수요가 증가하고 있습니다. 하지만 뒷받침할 모델들이 많이 학습이 되지 않고 있는 상황입니다
문제는 이제 Label된 Dataset이 극도로 부족한데 이런 문제를 해결하기 위해서
Unlabel Dataset을 활용을 해야 하지만 연구가 충분히 이루어지지 못하고 있습니다
기존의 모델들은 OCR같은 사전에 학습된 CV모델만을 활용하거나 반대로 NLP 모델만 활용을 하고 있고 이 두 개 모델을 같이 활용된 pre-training 모델이 존재하지 않습니다
그래서 이 논문에서는 컴퓨터 비전과 NLP 를 동시에 사용하는 pre-training 모델을 사용하는 LayoutLM에 대해 제안합니다!
오늘 논문 리뷰는 딥논읽 자연어 처리팀 박희수 님이 자세한 리뷰 도와주셨습니다.
오늘도 많은 관심 미리 감사드립니다!
"Advanced" SEO is a phrase that gets thrown around, but we rarely practice truly advanced tactics.
Advanced SEO isn't rel canonical or nofollow.
Real advanced SEO cuts through abstraction. It doesn't add layers of stuff to hide SEO problems. It fixes them.
This is Ian Lurie's slide deck from Digital Summit 2019. Don't let the length scare you. It's packed with links, tips, and step-by-step to-dos.
SEO Case Study - Hangikredi.com From 12 March to 24 September Core UpdateKoray Tugberk GUBUR
Start Summary:
"131% Organic Session Increase in 5 Months
62% Impression Increase in 5 Months
144% Clicks Increase in 5 Months"
This SEO Case study is about Google Core Updates and their impacts on biggest financial institution website in Turkey.
I have started to work in Hangikredi.com at 26 March 2019. But, the company's website had been affected by 12 March Google Core Update very negatively.
I had started to work in here while a crisis had been happening.
I had examined the web site and figured it out that the real problems were crawl budget, authority signasl and relevancy-entity connection. I have activated social media, Google My Bussiness accounts, I have entered financial forums, every other alternative channel. I created a news publisher network about us. I cleaned the misleading status codes, HTML and CSS mistakes, optimised meta tags, fixed the redirection chains, I used the image compressions and deleted lots of unnecessary URL and their contents, I created the internal link structure from scratch.
Until 5 June Google Core Update, we were winners again.
We had regained all of our traffic lost. Until 1 August server atack, we were okay, then in one day, everything went wrong.
I had started from 0 again...
I had been optimising web site's offpage signals for regain the trust of Google AI and I had been supporting this strategy with onpage elements.
After 24th September Google Core Update, there was another success. We breaked the crawl load/rate record, avarage site position, CTR and impression, click records for site history.
In this CASE Study, you are gonna find details of a SEO Success Story with graphics and also some funny cencor images from my life.
End Summary:
"12 March, 5 june and 24 September Google Core Updates with 1 August Server Atack are the milestones of this SEO Casse Study. You will find all details from our view of point. I hope you will like it."
Simple guidelines for your online presence and marketing, utilizing basics of digital marketing, as well as the main ideas behind antifragility and asymmetry .
The main online marketing strategy discussed is establishing yourself (company) as an authority/expert in your field. You do this very well and consistently such that people want to work with you (customers, investors, collaborators, etc.).
The main tool for establishing your presence is creating useful content that demonstrates your expertise. The main focus is on timeless topics to have time work with you, not against you.
Good luck!
Semantic Content Networks - Ranking Websites on Google with Semantic SEOKoray Tugberk GUBUR
Semantic Content Networks are the semantic networks of things with relations, directed graphs, attributes and facts. Every declaration, and proposition for semantic search represent a factual repository. Open Information Extraction is a methodology for creation of a semantic network. The Knowledge Base and Knowledge Graph are connected things to each other in terms of factual repository usage. The Knowledge Base represents a factual repository with descriptions and triples. Knowledge Graph is the visualized version of the Knowledge Base. A semantic network is knowledge representation. Semantic Network is prominent to understand the value of an individual node, or the similar and distant members of the same semantic network. Semantic networks are implemented for the search engine result pages. Semantic networks are to create a factual and connected question and answer networks. A semantic network can be represented and consist of from textual and visual content. Semantic Network include lexical parts and lexical units.
Links, Nodes, and Labels are parts of the semantic networks. Procedural Parts are constructors, destructors, writers and readers. Procedural parts are to expand the semantic networks and refresh the information on it.
Structural Part has links and nodes. Semantic part has the associated meanings which are represented as the labels.
The semantic content networks have different types of relations and relation types.
Semantic content networks have "and/OR" trees.
Semantic Content Networks have "Relation Type Examples" with "is/A" hierarchies.
Semantic Content Networks have "is/Part" Hierarchy.
Inheritance, reification, multiple inheritance, range queries and values, intersection search, complex semantic networks, inferential distance, partial ordering, semantic distance, and semantic relevance are concepts from semantic networks.
Semantic networks help understanding semantic search engines and the semantic SEO. Because, it contains all of the related lexical relations, semantic role labels, entity-attribute pairs, or triples like entity, predicate and object. Search engines prefer to use semantic networks to understand the factuality of a website. Knowledge-based Trust is related to the semantic networks because it provides a factuality related trust score to balance the PageRank. The knowledge-based Trust is announced by Luna DONG. Ramanathan V. Guha is another inventor from the Google and Schema.org. He focuses on the semantic web and semantic search engine behaviors. He explored and invented the semantic search engine related facts.
Semantic Content Networks are used as a concept by Koray Tuğberk GÜBÜR who is founder of Holistic SEO & Digital. Expressing semantic content networks helps to shape the semantic networks via textual and visual content pieces. The semantic content networks are helpful to shape the truth on the open web, and help a search engine to rank a website even if there is no external PageRank flow.
RecSysOps: Best Practices for Operating a Large-Scale Recommender SystemEhsan38
Ensuring the health of a modern large-scale recommendation system is a very challenging problem. To address this, we need to put in place proper logging, sophisticated exploration policies, develop ML-interpretability tools or even train new ML models to predict/detect issues of the main production model. In this talk, we shine a light on this less-discussed but important area and share some of the best practices, called RecSysOps, that we’ve learned while operating our increasingly complex recommender systems at Netflix. RecSysOps is a set of best practices for identifying issues and gaps as well as diagnosing and resolving them in a large-scale machine-learned recommender system. RecSysOps helped us to 1) reduce production issues and 2) increase recommendation quality by identifying areas of improvement and 3) make it possible to bring new innovations faster to our members by enabling us to spend more of our time on new innovations and less on debugging and firefighting issues.
https://dl.acm.org/doi/10.1145/3460231.3474620
Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEOKoray Tugberk GUBUR
Query Processing is the process of query term weight calculation, query augmentation, query context defining, and more. Query understanding and Query clustering are related to Information Retrieval tasks for the search engines. To provide a better search engine optimization effort and project result, the organic search performance optimizers need to implement query processing methodologies. Digital marketing and SEO are connected to each other. Understanding a query includes query parsing, query rewriting, question generation, and answer pairing. Multi-stages Query Processing, Candidate Answer Passages, or Candidate Answer Passages and Answer Term Weighting are some of the concepts from the Google Search Engine to parse the queries.
The presentation of The Secret Life of Queries, Parsing, Rewriting & SEO has been presented at the Brighton SEO Event in April 2022. The event speech focused on explaining the theoretical SEO and practical SEO examples together.
Query Processing methodologies are beyond synonym matching or synonym finding. It involves multiple aspects of the words, and meanings of the words. The theme of words, the centrality of words, attention windows, context windows, and word co-occurrence matrices, GloVe, Word2Vec, word embeddings, character embeddings, and more.
Themes of words contain the word probability like in Continues Bag of Window.
The search engine optimization community focuses on keyword research by matching the queries. Query processing involves query word order change, query word type change, query word combination change, query phrase synonym usage, query question generation, query clustering. Query processing and document processing are correlational. Query processing is to understand a query while document processing is to process a web document. Both of the processes are for ranking algorithms. Providing a better ranking algorithm requires a better query understanding. And providing better rankings as SEOs require better search engine understanding. Thus, understanding the methods of query processing is necessary.
Search Query Processing is implementing the query processing for thesearch engines. Search query refers to the phrase that search engine users use for searching. Search intent understanding and search intent grouping are two different things. But, query templates, questions templates, and document templates work together. Search query is for organic search behaviors. A web search engine answers millions of queries every day. Search query processing is a fundamental task for search engine optimization and search engine result page optimization.
The "Semantic Search Engine: Query Processing" slides from Koray Tuğberk GÜBÜR supported the presentation of "Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEO". The presentation has been created by Dear Rebecca Berbel.
Many thanks to the Google engineers that created the Semantic Search Engine patents including Larry Page.
Apache Spark Listeners: A Crash Course in Fast, Easy MonitoringDatabricks
The Spark Listener interface provides a fast, simple and efficient route to monitoring and observing your Spark application - and you can start using it in minutes. In this talk, we'll introduce the Spark Listener interfaces available in core and streaming applications, and show a few ways in which they've changed our world for the better at SpotX. If you're looking for a "Eureka!" moment in monitoring or tracking of your Spark apps, look no further than Spark Listeners and this talk!
My presentation at the Semantic Technology and Business Conference in San Jose on August 19, 2014, with Barbara Starr (Her slides are separate, and cover a vast array of semantic tools and approaches for assessing and understanding your pages).
inmation Software GmbH, located near Cologne, Germany, is a specialized software vendor in the area of system integration and industrial IT. inmation offers a software platform - system:inmation - which is a horizontally scalable, distributed information management system for production data, or any time-related information, entirely based on recent software technologies. In addition, inmation and its international partner network act as a competent team to help manufacturing industries embarking on 360° system integration and complete Enterprise Control to achieve their goals in an efficient and sustained manner.
"Advanced" SEO is a phrase that gets thrown around, but we rarely practice truly advanced tactics.
Advanced SEO isn't rel canonical or nofollow.
Real advanced SEO cuts through abstraction. It doesn't add layers of stuff to hide SEO problems. It fixes them.
This is Ian Lurie's slide deck from Digital Summit 2019. Don't let the length scare you. It's packed with links, tips, and step-by-step to-dos.
SEO Case Study - Hangikredi.com From 12 March to 24 September Core UpdateKoray Tugberk GUBUR
Start Summary:
"131% Organic Session Increase in 5 Months
62% Impression Increase in 5 Months
144% Clicks Increase in 5 Months"
This SEO Case study is about Google Core Updates and their impacts on biggest financial institution website in Turkey.
I have started to work in Hangikredi.com at 26 March 2019. But, the company's website had been affected by 12 March Google Core Update very negatively.
I had started to work in here while a crisis had been happening.
I had examined the web site and figured it out that the real problems were crawl budget, authority signasl and relevancy-entity connection. I have activated social media, Google My Bussiness accounts, I have entered financial forums, every other alternative channel. I created a news publisher network about us. I cleaned the misleading status codes, HTML and CSS mistakes, optimised meta tags, fixed the redirection chains, I used the image compressions and deleted lots of unnecessary URL and their contents, I created the internal link structure from scratch.
Until 5 June Google Core Update, we were winners again.
We had regained all of our traffic lost. Until 1 August server atack, we were okay, then in one day, everything went wrong.
I had started from 0 again...
I had been optimising web site's offpage signals for regain the trust of Google AI and I had been supporting this strategy with onpage elements.
After 24th September Google Core Update, there was another success. We breaked the crawl load/rate record, avarage site position, CTR and impression, click records for site history.
In this CASE Study, you are gonna find details of a SEO Success Story with graphics and also some funny cencor images from my life.
End Summary:
"12 March, 5 june and 24 September Google Core Updates with 1 August Server Atack are the milestones of this SEO Casse Study. You will find all details from our view of point. I hope you will like it."
Simple guidelines for your online presence and marketing, utilizing basics of digital marketing, as well as the main ideas behind antifragility and asymmetry .
The main online marketing strategy discussed is establishing yourself (company) as an authority/expert in your field. You do this very well and consistently such that people want to work with you (customers, investors, collaborators, etc.).
The main tool for establishing your presence is creating useful content that demonstrates your expertise. The main focus is on timeless topics to have time work with you, not against you.
Good luck!
Semantic Content Networks - Ranking Websites on Google with Semantic SEOKoray Tugberk GUBUR
Semantic Content Networks are the semantic networks of things with relations, directed graphs, attributes and facts. Every declaration, and proposition for semantic search represent a factual repository. Open Information Extraction is a methodology for creation of a semantic network. The Knowledge Base and Knowledge Graph are connected things to each other in terms of factual repository usage. The Knowledge Base represents a factual repository with descriptions and triples. Knowledge Graph is the visualized version of the Knowledge Base. A semantic network is knowledge representation. Semantic Network is prominent to understand the value of an individual node, or the similar and distant members of the same semantic network. Semantic networks are implemented for the search engine result pages. Semantic networks are to create a factual and connected question and answer networks. A semantic network can be represented and consist of from textual and visual content. Semantic Network include lexical parts and lexical units.
Links, Nodes, and Labels are parts of the semantic networks. Procedural Parts are constructors, destructors, writers and readers. Procedural parts are to expand the semantic networks and refresh the information on it.
Structural Part has links and nodes. Semantic part has the associated meanings which are represented as the labels.
The semantic content networks have different types of relations and relation types.
Semantic content networks have "and/OR" trees.
Semantic Content Networks have "Relation Type Examples" with "is/A" hierarchies.
Semantic Content Networks have "is/Part" Hierarchy.
Inheritance, reification, multiple inheritance, range queries and values, intersection search, complex semantic networks, inferential distance, partial ordering, semantic distance, and semantic relevance are concepts from semantic networks.
Semantic networks help understanding semantic search engines and the semantic SEO. Because, it contains all of the related lexical relations, semantic role labels, entity-attribute pairs, or triples like entity, predicate and object. Search engines prefer to use semantic networks to understand the factuality of a website. Knowledge-based Trust is related to the semantic networks because it provides a factuality related trust score to balance the PageRank. The knowledge-based Trust is announced by Luna DONG. Ramanathan V. Guha is another inventor from the Google and Schema.org. He focuses on the semantic web and semantic search engine behaviors. He explored and invented the semantic search engine related facts.
Semantic Content Networks are used as a concept by Koray Tuğberk GÜBÜR who is founder of Holistic SEO & Digital. Expressing semantic content networks helps to shape the semantic networks via textual and visual content pieces. The semantic content networks are helpful to shape the truth on the open web, and help a search engine to rank a website even if there is no external PageRank flow.
RecSysOps: Best Practices for Operating a Large-Scale Recommender SystemEhsan38
Ensuring the health of a modern large-scale recommendation system is a very challenging problem. To address this, we need to put in place proper logging, sophisticated exploration policies, develop ML-interpretability tools or even train new ML models to predict/detect issues of the main production model. In this talk, we shine a light on this less-discussed but important area and share some of the best practices, called RecSysOps, that we’ve learned while operating our increasingly complex recommender systems at Netflix. RecSysOps is a set of best practices for identifying issues and gaps as well as diagnosing and resolving them in a large-scale machine-learned recommender system. RecSysOps helped us to 1) reduce production issues and 2) increase recommendation quality by identifying areas of improvement and 3) make it possible to bring new innovations faster to our members by enabling us to spend more of our time on new innovations and less on debugging and firefighting issues.
https://dl.acm.org/doi/10.1145/3460231.3474620
Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEOKoray Tugberk GUBUR
Query Processing is the process of query term weight calculation, query augmentation, query context defining, and more. Query understanding and Query clustering are related to Information Retrieval tasks for the search engines. To provide a better search engine optimization effort and project result, the organic search performance optimizers need to implement query processing methodologies. Digital marketing and SEO are connected to each other. Understanding a query includes query parsing, query rewriting, question generation, and answer pairing. Multi-stages Query Processing, Candidate Answer Passages, or Candidate Answer Passages and Answer Term Weighting are some of the concepts from the Google Search Engine to parse the queries.
The presentation of The Secret Life of Queries, Parsing, Rewriting & SEO has been presented at the Brighton SEO Event in April 2022. The event speech focused on explaining the theoretical SEO and practical SEO examples together.
Query Processing methodologies are beyond synonym matching or synonym finding. It involves multiple aspects of the words, and meanings of the words. The theme of words, the centrality of words, attention windows, context windows, and word co-occurrence matrices, GloVe, Word2Vec, word embeddings, character embeddings, and more.
Themes of words contain the word probability like in Continues Bag of Window.
The search engine optimization community focuses on keyword research by matching the queries. Query processing involves query word order change, query word type change, query word combination change, query phrase synonym usage, query question generation, query clustering. Query processing and document processing are correlational. Query processing is to understand a query while document processing is to process a web document. Both of the processes are for ranking algorithms. Providing a better ranking algorithm requires a better query understanding. And providing better rankings as SEOs require better search engine understanding. Thus, understanding the methods of query processing is necessary.
Search Query Processing is implementing the query processing for thesearch engines. Search query refers to the phrase that search engine users use for searching. Search intent understanding and search intent grouping are two different things. But, query templates, questions templates, and document templates work together. Search query is for organic search behaviors. A web search engine answers millions of queries every day. Search query processing is a fundamental task for search engine optimization and search engine result page optimization.
The "Semantic Search Engine: Query Processing" slides from Koray Tuğberk GÜBÜR supported the presentation of "Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEO". The presentation has been created by Dear Rebecca Berbel.
Many thanks to the Google engineers that created the Semantic Search Engine patents including Larry Page.
Apache Spark Listeners: A Crash Course in Fast, Easy MonitoringDatabricks
The Spark Listener interface provides a fast, simple and efficient route to monitoring and observing your Spark application - and you can start using it in minutes. In this talk, we'll introduce the Spark Listener interfaces available in core and streaming applications, and show a few ways in which they've changed our world for the better at SpotX. If you're looking for a "Eureka!" moment in monitoring or tracking of your Spark apps, look no further than Spark Listeners and this talk!
My presentation at the Semantic Technology and Business Conference in San Jose on August 19, 2014, with Barbara Starr (Her slides are separate, and cover a vast array of semantic tools and approaches for assessing and understanding your pages).
inmation Software GmbH, located near Cologne, Germany, is a specialized software vendor in the area of system integration and industrial IT. inmation offers a software platform - system:inmation - which is a horizontally scalable, distributed information management system for production data, or any time-related information, entirely based on recent software technologies. In addition, inmation and its international partner network act as a competent team to help manufacturing industries embarking on 360° system integration and complete Enterprise Control to achieve their goals in an efficient and sustained manner.
Industrial Internet of Things: Protocols an StandardsJavier Povedano
Presentation for the Distributed Systems Master at the University of Cordoba (Spain). In this presentation we review the state of the art in communication middlewares for Industrial Internet of Things
Presentation with Sreda Software Solutions company information and software development capabilities including Automotive electronics, telematics, V2x/C-ITS, Wireless communication, LTE Advanced Pro, Mobile applications, Back end services and data analytics
Integrate the AWS Cloud with Responsive Xilinx Machine Learning at the Edge (...Amazon Web Services
In this workshop, learn how you can integrate Xilinx edge machine learning with massive scale AWS Cloud analytics, machine learning model building, and dashboards. Based on an Oil & Gas scenario, you will learn how to combine AWS Cloud services with AWS Greengrass on Zynq Ultrascale+ and Amazon FreeRTOS on Xilinx Zynq-7000. After this workshop, you will have a concrete understanding of Machine Learning applicability at the edge and its relationship with the AWS Cloud.
How to reinvent your organization in an iterative and pragmatic way? This is the result of using our digital toolbox. It allows you to transform your business model, expand your ecosystem by setting up your digital platform. This reinvention is also supported by the adaptation of your governance allowing you to innovate while guaranteeing the performance of your organization. For any information / suggestion / collaboration - william.poos@nrb.be
Comment réinventer votre organisation de manière itérative et pragmatique ? C'est le résultat de l'utilisation de notre boîte à outils digitale. Elle vous permet de transformer votre modèle métier, d'étendre votre écosystème en mettant en place votre plateforme digitale. Cette réinvention est également supportée par l'adaptation de votre gouvernance vous permettant d'innover tout en garantissant la performance de votre organisation. Pour toute information / suggestion / collaboration - william.poos@nrb.be
Big Data Day LA 2016/ Big Data Track - Apply R in Enterprise Applications, Lo...Data Con LA
Prototypes are typically re-implemented in another language due to compatibility issues with R in the enterprise, but TIBCO Enterprise Runtime for R (TERR) allows the language to be run on several platforms. Enterprise-level scalability has been brought to the R language, enabling rapid iteration without the need to recode, re-implement and test. This presentation will delve further into these topics, highlighting specific use cases and the true value that can be gained from utilizing R. The session will be followed by a lively, open Q&A discussion.
QNAP Systems, Inc., headquartered in Taipei, Taiwan, provides a comprehensive range of cutting-edge Network-attached Storage (NAS) and video surveillance solutions based on the principles of usability, high security, and flexible scalability. QNAP offers quality NAS products for home and business users, providing solutions for storage, backup/snapshot, virtualization, teamwork, multimedia, and more. QNAP envisions NAS as being more than "simple storage", and has created many NAS-based innovations to encourage users to host and develop Internet of Things, artificial intelligence, and machine learning solutions on their QNAP NAS.
n this talk Francesc Campoy, VP of Developer Realtions at source{d}, will showcase the source{d} Engine: source{d}’s solution for data extraction from large sets of git repositories.
He will introduce the field Code as Data and live demo the kind of insights one can extract from a large codebase with the help of SQL, language classification, and program parsing and token extraction. Expect to see some SQL, lots of cool graphs, and tons of data.
Speaker: Francesc Campoy
Speaker Bio:
Francesc Campoy Flores is the VP of Developer Relations at source{d}, a startup applying ML to source code and building the platform for the future of developer tooling. Previously, he worked at Google as a Developer Advocate for Google Cloud Platform and the Go team.
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.
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.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
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.
1. HOMER SEVEN
QXIP is the independent R&D behind HOMER and HEP since 2009
Our headquarters are in Amsterdam, The Netherlands where we develop
original, innovative and unchained Open-Source and Commercial
technologies and where our Team designs and deploys large and small
Packet Capture, Monitoring and Lawful Interception solutions for hundreds
of Carriers, Operators, Fortune Companies and Enterprises Worldwide
We love what we do, and we do what we love!
2. HOMER SEVEN
● What is it?
○ Collector and Aggregator for Real-Time Communication protocols
○ Powerful and Extensible with additional types, endpoints
○ Head-less Baseline for other projects-products
● What can you use it for?
○ VoIP & Telco Monitoring
■ Agents, Servers, Recorders
○ RTC & Event Monitoring
■ Clients, Servers, Data Formats
● Real World use-cases and benchmarks
● How does it work?
○ H7 Design Concepts
■ Data Layer
■ Metrics Layer
● How to Deploy in Real Life
10. COMPLETE REWRITE OF HOMER ( NODEJS API + UI )
DESIGNED TO SUPPORT ANY PROTOCOL WITH
DYNAMIC MAPPING AND CUSTOM CORRELATION
INTEGRATION READY WITH INDUSTRY STANDARD
DATABASES AND POPULAR ANALYTICS PLATFORMS
POWERFUL STANDALONE CAPTURE SERVERS + AGENTS
BUILDING BLOCK FOR OTHER PRODUCTS & PLATFORMS
11. PACKET CAPTURE
Perpetual Collection, Tracking and
Correlation of VoIP and RTC Packets
RTC ANALYTICS
Customizable Metrics and Timeseries
Extraction with Custom Tagging
TROUBLESHOOTING
Boosting Engineering, Customer
Care and Outage Investigation
ALERTS & ALARMS
Export data for Alerting and
detection of Anomalies
BIG DATA PRODUCER
Exporting to external Platforms
MACHINE LEARNING
Feed Training and Predictions
