Commenting on the Computational Processing of the Two Cypriot Signaries of Bronze Age
Evangelos Papakitsos
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Evangelos Papakitsos
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ABSTRACT
The present study is focused on the similarities of the two Cypriot pre-alphabetic scripts of Bronze Age, that is the Cypro-Minoan and the Cypriot Greek syllabaries. The paper presents the mainstream views on the nature of these scripts that the former is considered undeciphered, their decipherment attempts by linguists, and the computational approaches for this purpose. Subsequently, two linguistic theories are discussed for the scripts' nature and the assignment of the corresponding phonetic values, namely, the Cretan and the Cypriot Protolinear scripts........
Keywords:- Aegean scripts, Cretan Protolinear, Cypriot Protolinear, Cypro-Minoan, Cypriot Greek Syllabary, decipherment.
Keywords:- Aegean scripts, Cretan Protolinear, Cypriot Protolinear, Cypro-Minoan, Cypriot Greek Syllabary, decipherment.
FLYBY: A Real-Time LLM-Based Messenger for Context-Aware Travel Assistance
Yun Se Lee, Young Pyo Ko, Songwook Lee
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Yun Se Lee, Young Pyo Ko, Songwook Lee
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ABSTRACT
Travel planning often requires users to search across multiple fragmented platforms for accommodations, restaurants, and attractions, resulting in inefficient information retrieval and limited contextual continuity. This study proposes FLYBY, a real-time conversational travel recommendation system that integrates a large language model (LLM), a mobile messenger interface, and external travel service APIs within a unified architecture. The proposed system employs a Kotlin-based Jetpack Compose client, Firebase for real-time synchronization and authentication, and a FastAPI server that performs semantic analysis.......
Keywords:- large language model, real-time communication, conversational interface, travel recommendation, context-aware system.
Keywords:- large language model, real-time communication, conversational interface, travel recommendation, context-aware system.
Camera-Guided Two-Wheeled Self-Balancing Robots: A State-of-the-Art Review of Nonlinear Modeling, Advanced Control, AI-based Perception, Sensor Fusion and Target Tracking
Tran Thi Kim Thanh
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Tran Thi Kim Thanh
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ABSTRACT
Camera-guided two-wheeled self-balancing robots combine an open-loop unstable, underactuated platform with a perception pipeline that is delayed, intermittent, and sensitive to scene changes. Reliable target following therefore depends on coordinated modeling, estimation, control, visual servoing, tracking, and embedded implementation. This review develops a control-oriented synthesis of recent and foundational work on robot dynamics, PID and LQR stabilization, robust and fuzzy control, MPC and NMPC, learning-assisted control, object detection, multi-object tracking, sensor fusion, and edge deployment........
Keywords:- Two-wheeled self-balancing robot, inverted pendulum, visual servoing, model predictive control, deep reinforcement learning, object detection, multi-object tracking, sensor fusion, embedded AI, target following
Keywords:- Two-wheeled self-balancing robot, inverted pendulum, visual servoing, model predictive control, deep reinforcement learning, object detection, multi-object tracking, sensor fusion, embedded AI, target following

