This proceeding presents the papers from the 11th International Conference on Advancement of Science and Technology (ICAST 2023), which took place in Bahir Dar, Ethiopia, in November 2023. The papers present economic and technologic developments in modern societies related to important issues such digitization, energy transformation, impact on national economy, and its recent advancements. The papers are relevant to researchers, academics, and professionals.
Part I- AI, Machine Learning and its Applications. .
Chapter
1.
Cervical cancer histopathological image classification using imbalanced
domain learning.
Chapter
2. Prediction of Survival Status of Heart Failure
Patients Using Machine Learning and Hyper-Parameter Optimi-zation
Techniques.
Chapter
3. Breast Cancer Stage Identification Using Machine
Learning.
Chapter
4. Deep Learning-Based Emotion Classification for Amharic
Texts.
Chapter
5. Bilingual Word-Level Language Identification for Omotic
Languages.
Chapter
6. ChatGPT in Education: Opportunities and Concerns for
Functional English Sentence Structure Analysis for Automatic Question
Generation.
Chapter
7. Artificial Intelligence Based Secured Smart Mirror
Control Systems with Enhanced Vehicle and Sign Board Detection.
Chapter
8.
Music Genre Classification Using Deep Neural Network with Feature Selection
and Optimization Via Evolutionary Algorithm .
Chapter
9. Collaborative
Filtering-Based Recommender System for Ethiopian Tourism Sites.
Chapter
10.
Prediction of Compaction Parameters Based on Atterberg Limit by Using a
Machine Learning Approach.
Chapter
11. Prediction of Fatigue Life of
Materials Using Machine Learning Approach: A Review.- Part II- Industrial
automation and control systems. .
Chapter
12. Adaptive Particle Swarm
Optimization-Based Tuning of Fractional Order PID for Moisture Control in an
Indus-trial Rotary Dryer System.
Chapter
13. TRAJECTORY TRACKING CONTROL OF
THREE-DEGREE-OF-FREEDOM ARTICULATED ROBOT MANIPULATOR USING NEURAL NETWORK
CONTROLLER.
Chapter
14. MODELING AND TRAJECTORY TRACKING CONTROLLER DESIGN
FOR NONHOLONOMIC WHEELED MOBILE ROBOTS.- Part III- Networking and
communication systems . .
Chapter
15. ABF and PBF Optimization for IRS based
WCS with practical phase shifts.
Chapter
16. Bi LSTM Based on Indoor
Localization by using Smartphones and Wi-Fi with RSSI Values.
Chapter
17.
Ethiopic Cryptography: An Efficient Hybrid Encryption Algorithm for Reducing
Cyber Security Attack.
Chapter
18. Dual Channel MEMS Actuated Tunable
Optical Filter Based on Polarization Insensitive Compound Ring Resonator for
DWDM Networks.- Part IV- Electrical power systems and automation. .
Chapter
19. Voltage Profile Improvement and Loss Minimization in a Transmission Line
Using FLC Based UPFC at Bahir Dar Substation-II 230 kV Line.
Chapter
20.
Simulation of a 100 MW grid-connected solar power plant and MPPT control
using the PSO-P&O technique.
Chapter
21. Development of a Household
Synthetic Load Profile for Rural Electrification.
Chapter
22. Optimal Sizing
and Feasibility Study of Micro grid System for Rural Area in Gashamo Village,
Somali Region of Ethiopia.
Chapter
23. Design and Simulation of SCADA System
to Improve Reliability of a Distribution Feeder (Case Study on Bahir Dar,
Feeder R6-G2).
Abeba Birhane is a cognitive scientist who works at the intersection of complex adaptive systems, machine learning, algorithmic bias, and critical race studies. Birhane's work with Vinay Prabhu uncovered that large-scale image datasets commonly used to develop AI systems, including ImageNet and 80 Million Tiny Images, carried racist and misogynistic labels and offensive images. She has been recognized by VentureBeat as a top innovator in computer vision. Birhane was born in Ethiopia. She received her Bachelors of Science in Psychology and a Bachelors of Arts in Philosophy from The Open University. In 2015, she completed her Master of Science in Cognitive Science and, in 2021, her Ph.D. at the Complex Software Lab in the School of Computer Science at University College Dublin. Birhane studied the impacts of emerging AI technologies and how they shape individuals and local communities. She found that AI algorithms tend to disproportionately impact vulnerable groups such as older workers,trans people, immigrants, and children. Her research on relational ethics won the best paper award at NeurIPSs Black in AI workshop in 2019. She has also studied and written about algorithmic colonization. Her work in decolonizing computational sciences addressed the inherited oppressions in current systems especially towards women of color.
Fekadu Shewarega (Member, IEEE) received the Dipl.-Ing. degree in electrical engineering and the Ph.D. degree in power engineering from the Technical University of Dresden, Dresden, Germany, in 1985 and 1988, respectively. After graduation, he joined the Addis Ababa University, Ethiopia as an Associate Professor, where he served in various teaching and administrative capacities. Currently, he is a member of the research staff at the University Duisburg-Essen, Duisburg, Germany. His research interests are focused on power system analysis and renewable energy technologies
Mekuanint Agegnehu Bitew received the bachelors degree from Mekelle University, Mekelle, Ethiopia, in 2005, the masters degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2007, and the Ph.D. degree from the College of Electrical and Computer Science, National Taipei University of Technology, Taipei, Taiwan, in 2016. He has been a Postdoctoral Researcher for two years with the National Taipei University of Technology. Since 2022, he has been an Associate Professor with the Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia. His research interests include WSNs, ad-hoc networks, wireless communication, optical networks, and AI.
Mekonnen Wagaw received the bachelors degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2005, the Masters degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2010, and the Ph.D. degree from the University of South Africa in Information Systems, 2020. Since then, he has been an Assistant Professor with the Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia.
Ahunim Abebe Ashetehe received a bachelor's degree in electrical/electronics technology and an M.Sc. degree in electrical power system engineering from Adama Science and Technology University in 2005 and 2009, respectively, and a PhD degree in electrical power engineering from Bahir Dar University in 2024. He worked at Debre Berhan University from 2006 to 2012, engaging in teaching-learning, community service, and administrative activities. He has been a lecturer at the Bahir Dar Institute of Technology, Bahir Dar University, since August 2012. Currently, he is an assistant professor at Bahir Dar Institute of Technology, Bahir Dar University, Ethiopia. His research interests include renewable energy technologies, rural electrification, microgrid and smart grid technologies, power system optimization, and energy management.
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