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.

We are delighted to receive contributions with innovative ideas grounded in either theory, application, or development experience and supported by initial results or proof of concept. The presenter will have the opportunity to discuss their research, methodology, and results with other researchers and receive useful guidance and feedback from the community.
Authors are encouraged to submit summaries of their original work (not published or submitted elsewhere). All submissions must be written in English, and be a maximum of two pages in length, in 10-point font using the IEEE conference proceedings format. Each submission should include the title of the paper, a 150-word abstract, and up to 6 keywords. Submissions will be carefully evaluated on the basis of their creativity, importance in the field, technical skill,
presentation quality, and adherence to abstract submission requirements. All accepted Fast Abstracts will be published in the electronic COMPSAC 2023 proceedings.
COMPSAC 2023 will be offered as a hybrid conference. In-person attendance is recommended, but virtual presentation formats will be available for those unable to attend in Torino.

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 2023
Extended 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

Michiharu Takemoto, International University of Technology in Tokyo (IPUT), Japan