13+ hour, 19+ min ago   (496+ words) Offline reinforcement learning (offline RL) and large-language-model (LLM) alignment are typically studied as independent domains and each has developed its own pairwise comparison technique. Prior studies have validated pairwise classification exclusively within offline RL, leaving open the question of whether it…...

1+ day, 8+ hour ago   (678+ words) Mapless deep reinforcement learning (DRL) navigation in dynamic indoor environments is difficult under single-frame 2D LiDAR, which reports where an obstacle is but not whether it is approaching. We introduce the Positional-Velocity Spatio-Temporal Attention Module (PV-STAM), a compact perception block (19,968 trainable…...

2+ day, 5+ hour ago   (591+ words) Framework and runtime selection for containerized microservices are usually guided by request-level benchmarks, yet deployment-facing costs often dominate operational expenditure in Kubernetes environments. This study empirically evaluates four such infrastructure characteristics: container image size, startup time, idle resource consumption, and…...

4+ day, 2+ hour ago   (553+ words) Traditional stochastic models that rely solely on elevation angle and signal-to-noise ratio (SNR) struggle to adapt to the precision differences in BDS-3 multi-frequency observations, making it difficult to support high-precision positioning in complex scenarios. To address the issues that existing…...

4+ day, 2+ hour ago   (533+ words) This study proposes EQAS (Empowered Question-Answering System), a hybrid framework designed to support context-aware question-answering and intelligent feedback generation in domain-specific knowledge environments. EQAS integrates fine-tuned transformer-based models, instruction-guided large language models, domain-specific knowledge graphs, and LangChain-based vector retrieval to…...

4+ day, 2+ hour ago   (396+ words) In the field of public service data integration, government agencies are responsible for consolidating data from various industries and establishing big data platforms. Some achievements have been made in this direction, but there are still some issues related to privacy…...

4+ day, 3+ hour ago   (359+ words) Productivity evaluation in industrial software projects is still predominantly based on aggregate Function Point-to-effort ratios. Such an approach overlooks the internal structural and functional heterogeneity of software projects, potentially leading to misleading comparisons between systems characterized by similar functional sizes…...

5+ day, 2+ hour ago   (584+ words) Predicting queue waiting time for batch job schedulers in high-performance computing (HPC) systems is a critical research topic aimed at maximizing resource utilization efficiency and enhancing user experience. However, existing prediction approaches heavily rely on static job characteristics provided by…...

5+ day, 11+ hour ago   (688+ words) Oral presentations for investor relations, government funding, and technical review are typically prepared without objective, repeatable feedback on delivery. We present an integrated web-based pre-screening system for Korean oral presentations that combines automatic speech recognition (ASR), prosodic and disfluency analytics,…...

5+ day, 12+ hour ago   (308+ words) Visual security quantification is critical for evaluating perceptual image encryption schemes. Traditional visual security indices often rely on partial feature extraction and fixed-position block matching, which limits their capability to capture localized information leakage. To address these limitations, this paper…...