SEARCH KEYWORD -- Testing
Eight C++ programming mistakes the compiler won’t catch
C++ is a complex language, full of subtle traps for the unwary. There is an almost infinite number of ways to screw things up. Fortunately, modern compilers are pretty good at detecting a large number of these cases and notifying the programmer via compile errors or warnings. Ultimately, any error that is compiler-detectable becomes a non-issue if properly handled, as it will be caught and fixed before the program leaves development. At worst, a compiler-detectable error results in los...
C++,Compiler,Error detection 2012-04-08 09:55:20
Simplify Cloud Data Security: A Deep Dive Into Protecting Sensitive Data in Java
Featuring encryption, anonymization, hashing, and access control Network security incidents occur now and then, mostly caused by data leakage. Data security has aroused widespread concern, and the community keeps working hard on approaches to simplify data security, especially in sensitive data protection. Sensitive data includes but is not limited to personally identifiable information (PII) like names, ID numbers, passport numbers, driver’s license numbers, contact information like addre...
JAVA,SECURITY,ENCRYPTION,DECRYPTION,TOKENIZATION 2023-04-28 21:22:10
Applying Large Language Models (LLMs) to Solve Cybersecurity Questions
In this document, we will introduce some test, experiment and analysis conclusion about applying Large Language Models (LLMs) to solve cybersecurity questions. Introduction Large Language Models (LLMs) are increasingly used in education and research for tasks such as analyzing program code error logs, help summarize papers and improving reports. In this project, we aim to evaluate the effectiveness of LLMs in solving cybersecurity-related questions, such as Capture The Flag (CTF) challenges, ...
Deploying DeepSeek-R1 Locally with a Custom RAG Knowledge Data Base
Project Design Purpose : The primary goal of this article is to explore how to deploy DeepSeek-R1 an open-source large language model (LLM), and integrate it with a customized Retrieval-Augmented Generation (RAG) knowledge base on your local machine (PC/server). This setup enables the model to utilize domain-specific knowledge for expert-level responses while maintaining data privacy and customization flexibility. By doing so, users can enhance the model’s expertise in specific technical ...
LLM,RAG,DEPLOYMENT 2025-02-10 00:17:37
One thought about JavaScript exception handle
Due to network, browser and cache issues, the JS executed in production may produce different results from the testing environments. Sometimes they may produce exceptions. Front-end developers may encounter this kind of exceptions frequently. But how to log and use them is seldomly considered by them. Actually, exception handling includes two steps : log and use. 1. Log Regarding to log error, this is relatively convenient, since in each browser, there is one interface called window.onerror. win...
JaavScript,Log,Exception,Email 2013-03-18 12:50:21
How expensive is a MySQL query?
Database access speed is always the bottle neck of many applications. Many application have large amount of data to search, retrieve and display nowadays. How do we improve the performance of our applications, how do we reduce the cost of database access? Apart from the design of database, the quality of the query is also one important factor to take care. But before that, we need to know how much network traffic a query will consume. Yunyang,Zhang from Nubee in Singapore did some research...
MySQL,Network traffic,Query 2013-04-09 05:13:33
Python PLC Honeypot Project
Program Design Propose : This project aims to develop a sophisticated honeypot system that emulates an OT (Operational Technology) SCADA network environment, bridging Level 1 OT field controller devices (PLCs) with Level 2 control programs, including Human-Machine Interfaces (HMIs). This honeypot will simulate various PLC models from major vendors, such as Schneider and Siemens, while supporting the primary communication protocols Modbus-TCP and Siemens-S7Comm. The system will integrate essenti...
The Future of AI Chips Might Not Be GPU
In the layout of AI computing architectures, the model of CPUs working in collaboration with accelerator chips has become a typical AI deployment solution. CPUs act as providers of basic computing power, while accelerator chips are responsible for enhancing computational performance, aiding in the efficient execution of algorithms. Common AI accelerator chips can be categorized into three main types based on their technological paths: GPU, FPGA, and ASIC. In this competition, GPUs have emerged a...
MICROSOFT,ARM,INTEL,NVIDIA,GPU,OPENAI,CUDA 2024-06-21 22:43:00
People Detection Radar [IoT] : Build a Raspberry PI Xandar Kardian IoT People Count Radar
Program Design Purpose: People detection sensors and radars are utilized in various applications across multiple fields such as security and surveillance, healthcare, building automation, smart cities, transportation and autonomous manufacturing systems. This project aims to develop a prototype IoT device for an indoor people counting using the Xandar Kardian people detection radar and a Raspberry Pi. The device will be network-ready and easily integrated with other systems. The Python-based I...
OT Power Grid System Development
Use PLC to Remote Control Circuit Breaker in Power Grid System Figure-00: Project Overview Diagram, version v0.0.2 (2024) Project Design Purpose: The objective of this project is to demonstrate how to utilize Programmable Logic Controllers (PLC) to remotely monitor and control circuit breakers within a power (grid/supply) system. Using a Schneider Electric circuit breaker, sensor, closer and PLC, the project will cover the physical hardware connections and provide a step-by-step guide for desig...
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