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Publications

A Method for Constructing a Topology Based on a Connected Governing Set in Wireless Sensor Networks

📝 A Method for Constructing a Topology Based on a Connected Governing Set in Wireless Sensor Networks (Ghasedak Algorithm)

📅 Publication Date: January 1, 2016
🏛 Conference: Second International Conference on New Research Findings in Electrical Engineering and Computer Science (EC2016) – Ramsar, Iran

🔹 Abstract: This paper presents a novel method for topology construction in wireless sensor networks (WSNs) using a connected governing set approach, named the Ghasedak Algorithm. The proposed method enhances network efficiency, connectivity, and power consumption, making it a suitable solution for large-scale WSN applications.

📝 SQL Server Articles on NikAmooz

📅 Publication Period: 2015 – 2017
🌐 Published on: NikAmooz Website

🔹 Overview: Contributed several technical articles on SQL Server covering topics such as performance tuning, indexing strategies, query optimization, database security, and high-availability architectures. These articles provided practical insights, best practices, and advanced solutions for database administrators and developers.

📖 32-bit Assembly Programming in Windows

🏛 Published by: Islamic Azad University
📅 Publication Year: 2014
📌 ISBN: 978-964-10-2625-9

🔹 Overview: This book provides a comprehensive guide to 32-bit assembly programming in Windows, covering low-level programming concepts, memory management, instruction sets, and system interactions. Designed for students, developers, and enthusiasts, it offers practical examples and real-world applications to help readers master assembly language in a Windows environment.

📝 An Algorithm to Improve the Execution of Queries with User-Defined Functions

📅 Publication Date: January 1, 2011
🏛 Conference: 3rd International Conference on Future Networks (ICFN 2011) – Qingdao, China

🔹 Overview: This paper introduces an optimized algorithm for enhancing query execution performance in SQL Server by improving the efficiency of User-Defined Functions (UDFs). The proposed method reduces execution time, optimizes resource usage, and minimizes performance bottlenecks associated with UDFs in complex database queries.

📝 Specialization of Keyword Extraction Approach to Persian Texts

📅 Publication Date: January 1, 2011
🏛 Conference: 3rd International Conference on Soft Computing and Pattern Recognition (SoCPaR 2011) – Dalian, China

🔹 Overview: This paper presents a specialized keyword extraction algorithm tailored for Persian texts, addressing the unique linguistic structure and challenges of Persian language processing. The proposed approach enhances text mining, search engine optimization, and natural language processing (NLP) tasks, improving accuracy and relevance in Persian keyword extraction.

📝 Automatic Classification of Persian Texts Using Neural Networks

📅 Publication Date: January 1, 2010
🏛 Conference: First National Conference on Soft Computing and Information Technology – Mahshahr, Iran

🔹 Overview: This paper explores the use of neural networks for automated classification of Persian texts, leveraging machine learning techniques to enhance text categorization accuracy. The proposed model improves natural language processing (NLP) and information retrieval in Persian-language datasets.

📝 Privatization of the Keyword Extraction Method in Persian Texts

📅 Publication Date: January 1, 2010
🏛 Conference: First National Conference on Soft Computing and Information Technology – Mahshahr, Iran

🔹 Overview: This research introduces a customized keyword extraction method optimized for Persian texts, addressing the linguistic challenges and unique word structures of the Persian language. The approach enhances search engine optimization, document classification, and text mining applications.

📝 Predicting Information for the Purpose of Caching in Mobile Transactions

📅 Publication Date: January 1, 2009
🏛 Conference: 9th IEEE Malaysia International Conference on Communication (MICC 2009)

🔹 Overview: This paper presents a predictive caching mechanism for mobile transactions, improving data availability, response time, and network efficiency. By forecasting frequently accessed data, the system enhances mobile computing performance and reduces latency in wireless communication.