Fast Abstract Symposium
Technical Program
*= in-person presentation in Torino
Performance evaluation of MQTT communication with heterogeneous traffic*
Ryohei Banno
Evaluation of the Performance Impact of SPM Allocation on a Novel Scratchpad Memory
Essa Imhmed, Edgar Ceh-Varela, Jonathan Cook and Caleb Parten
Blockchain-Oriented Software Testing: A Preliminary Literature Review
James Orr and Sandeep Reddivari
Modeling Time-Varying User Attitudes in Social Media*
Etienne Gael Tajeuna, Ahmed F. M. Fahmy and Mohamed Bouguessa
Telehealth in Cardiovascular Diseases: Reflections on Its Usability in the Jordanian Context
Ahmad Rajeh Saifan, Mohannad Eid Aburuz, Nabeel Al-Yateem, Syed Azizur Rahman, Muhammad Arsyad Subu, Heba Hesham Hijazi, Fatma Refaat Ahmed, Jacqueline Maria Dias, Amina Al Marzouqi, Mohammad Yousef Alkhawaldeh, Mohammad Alshabi and Ahmed Hossain
A Preliminary Study on Random Walk based Similar Contents Discovery*
Ryo Nakamura
A Named-entity-based TTP-free Authentication and Authorization Architecture for IoT Systems*
Yong Jin and Masahiko Tomoishi
Uncovering Water Research with Natural Language Processing
Ceh-Varela and Essa Imhmed
New Technique for Stock Trend Analysis – Volume-weighted Squared Moving Average Convergence & Divergence*
Sze Chit Au and Jacky Keung
A Machine Learning based Traceability Links Classification: A Preliminary Investigation
Hika Workneh and Sandeep Reddivari
AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future
Yong Shi, Nazmus Sakib, Shahriar Hossain, Dan Lo, Hongmei Chi and Kai Qian
Deep Learning based Security Enhancement of Wireless Connectivity*
Seonghan Ryu
Virtual Learning and Pervasiveness of Depression Among University Students in the UAE
Heba Hesham Hijazi, Reem Mohd Alotaibi, Zenah Maher Alzaben, Amina Al Marzouqi, Nabeel Al-Yateem, Muhammad Arsyad Subu, Fatma Refaat Ahmed, Mohammad Alshabi, Mohammad Yousef Alkhawaldeh, Syed Azizur Rahman and Ahmed Hossain
Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy*
Mst Akter, Hossain Shahriar, Dan Lo, Nazmus Sakib, Kai Qian, Michael Whitman and Fan Wu
Improvement of TCP Performance based on Characteristics of Private LoRa Interface*
Jumpei Sakamoto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Goshi Sato and Kenichi Takizawa
Verification Method of Associated Domain Names Using Certificates by Applying DNS over TLS to Authoritative Servers*
Nariyoshi Yamai, Yong Jin, Toshio Murakami and Rei Nakagawa
VA4SM: A Visual Analytics Tool for Software Maintenance
Sandeep Reddivari and Kyle Liu
Experimental Evaluation of Transmission Control Method based on Received Signal Strength for Spatio-Temporal Data Retention*
Renju Akashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga and Myung Lee
Extracting Common and Variable Code using the LCS Algorithm for Migration to SPLE*
Taeyoung Kim, Jihyun Lee and Sungwon Kang
Formalization and Verification of RocketMQ Using CSP
Yiwen Liu and Hongyan Mao
Differential Privacy Frequent Graph Pattern Mining
Ma Xuebin, Xing Jiangna and Jia Xuhui
Local Differential Privacy for a Hierarchical Social Network
Xuebin Ma, Jingyu Yang and Tao Yang
A Graph Construction Method for Anomalous Traffic Detection with Graph Neural Networks Using Sets of Flow Data
Norihiro Okui, Yusuke Akimoto, Ayumu Kubota and Takuya Yoshida
Defeasible-PROV: Conflict Resolution in Smart Building Devices
Abdullah Al Farooq, Zac Taylor, Kyle Ruona and Tom Moyer
Deep Learning for Regional Subsidence Crisis Prediction in Smart Grid Infrastructure
Zhaoran Wang, Xiangyu Bai and Yu Han
Simulation Study of High Gain 2.45 GHz Wearable Microstrip Patch Antenna for WSN Applications
Damanpreet Singh, Ranjit Kaur and Jaspreet Singh
Personality Types Among Science Students for the Choice of Academic Programmes in RIAESC Theory
Joseph C. H. So, Ran Wei and Kia H. Y. Tsang
Semantically Enabled Content Convergence System for Large Scale RDF Big Data
Yongju Lee
Simple measurement of customer-oriented QCD for improving business agility*
Kumi Jinzenji and Akio Jin
Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition
Samaneh Mohammadi, Sima Sinaei, Ali Balador and Francesco Flammini
The Fast Abstract symposium is a unique opportunity for students, faculty, and researchers in the computer software and applications fields to come together and share their knowledge. The submitted FA article will be reviewed as a Fast Abstract and should be a two-page article presenting, for example, new ideas, work in progress, or opinions that address issues relevant to computer software, applications, and related fields.
presentation quality, and adherence to abstract submission requirements. All accepted Fast Abstracts will be published in the electronic COMPSAC 2023 proceedings.
Paper Templates
IEEE Paper templates are available in MS Word 2003 and LaTex. All submissions must use US 8.5×11 letter page format.
Important Dates
Main Conference/Symposium
Main conference/symposium papers due: 15 January 2023Extended to 15 February 2023
Notification: 7 April 2023
Camera-ready and registration due: 7 May 2023 Updated: 18 May 2023
Journal then Conference Submissions
Due date: April 7, 2023
Notifications: April 30, 2023
Workshops, Fast Abstract, SRS Programs
EXTENDED: Workshop papers due: 21 April 2023
UPDATED: Notifications: 7 May 2023
UPDATED: Camera-ready and registration due: Updated: 18 May 2023
Submission Link
Please submit your paper on EasyChair
IEEE Conference Publishing Policies
All submissions must adhere to IEEE Conference Publishing Policies.
IEEE Cross Check
All submission will be screened for plagiarized material through the IEEE Cross Check portal.
Fast Abstract Organizers
Nazmus Sakib, Kennesaw State University, USA
Email: nsakib1@kennesaw.edu
Michiharu Takemoto, International University of Technology in Tokyo (IPUT), Japan
Email: takemoto.michiharu@gmail.com