This paper presents a technique for the reliability assessment of complex radial distribution systems considering restoration sequence and network constraints (NCs). In this technique, is represented using tree data structure to dynamically respond change topology induced by system reconfiguration. A parent-visit proposed determine affected area after failure occurs. breadth-first-search approach used divide load points into six classes based on times. An improved branch-oriented flow method...

A continuous-time delta-sigma A/D modulator with 5 MS/s output rate in a 2.5 V 0.25 mum CMOS process is presented. The has fifth-order single-stage, dual-loop architecture allowing nearly one clock period quantizer delay. multi-bit used to increase resolution and non-return-to-zero DACs are adopted reduce jitter sensitivity. Capacitor tuning utilized overcome loop coefficient shifts due variations. Self-calibration implemented suppress current-steering DAC mismatch. Clocked at 60 MHz, the...

With the recent advances in deep learning, neural network models have obtained state-of-the-art performances for many linguistic tasks natural language processing. However, this rapid progress also brings enormous challenges. The opaque nature of a model leads to hard-to-debug-systems and difficult-to-interpret mechanisms. Here, we introduce visualization system that, through tight yet flexible integration between elements underlying model, allows user interrogate by perturbing input,...

Abstract With recent advances in multi‐modal foundation models, the previously text‐only large language models (LLM) have evolved to incorporate visual input, opening up unprecedented opportunities for various applications visualization. Compared existing work on LLM‐based visualization works that generate and control with textual input output only, proposed approach explores utilization of processing ability LLMs develop Autonomous Visualization Agents (AVAs) can evaluate generated iterate...

In the field of hybrid multiterminal high-voltage direct current (HVdc) transmission, an inevitable problem is short availability fault information. Namely, only 1-ms complete information can be used to identify faults. To overcome this limitation, study introduces concept instantaneous boundary impedance and proposes a dc line protection method. First, transmission divided into three types zones, namely, internal, forward-external, backward-external zones. Then, analyzed compared under...

The trend of rapid technology scaling is expected to make the hardware high-performance computing (HPC) systems more susceptible computational errors due random bit flips. Some flips may cause a program crash or have minimal effect on output, but others lead silent data corruption (SDC), i.e., undetected yet significant output errors. Classical fault injection analysis methods employ uniform sampling during execution derive statistical resiliency profile. However, summarizing such result...

Aggressive technology scaling trends have worsened the transient fault problem in high-performance computing (HPC) systems. Some faults are benign, but others can lead to silent data corruption (SDC), which represents a serious problem; introducing an error that is not readily detected nto HPC simulation. Due insidious nature of SDCs, researchers worked understand their impact on applications. Previous studies relied expensive injection campaigns with uniform sampling provide overall SDC...

In the context of large-scale wind power integration and rapid development electric vehicles (EVs), a joint operation pattern was proposed to use centralized charging station (CCS) address high uncertainties incurred by integration. This would directly remove significant indeterminacy power. Because CCS is adjacent gathering station, it could work jointly with farms operate in system as an independent enterprise. By combining actual operational characteristics farm CCS, multidimensional...

The use of PMUs is proving an important basis for online voltage stability assessment and monitoring. Due to the relatively high costs, it essential investigate possibility method reduce number PMUs. This paper first introduces analytical equivalent circuit approach assessment. Second, index proposed calculate factors influence system stability. Finally, a PMU placement determine their locations Case studies have been conducted on IEEE 30 bus system, results show that only few buses with...

High-performance computing (HPC) systems play a critical role in facilitating scientific discoveries. Their scale and complexity (e.g., the number of computational units software stack) continue to grow as new are expected process increasingly more data reduce time. However, with processing elements, probability that these will experience random bit-flip error corrupts program's output also increases, which is often recognized silent corruption. Analyzing resiliency HPC applications...

Air traffic controllers sometimes fail to detect visual warnings due limited attention resources. This challenge would even be exacerbated by the increasing complexity of data in future digital tower integrations. Detection failures (DF) manifest three primary types: ordinary blindness (OB), look but see (LBFTS) error, and misinterpretation (MI), each resulting from disruptions detection process stages necessitating specific countermeasures. study employs machine learning eye-tracking a...

The recent introduction of multimodal large language models (MLLMs) combine the inherent power (LLMs) with renewed capabilities to reason about context. potential usage scenarios for MLLMs significantly outpace their text-only counterparts. Many works in visualization have demonstrated MLLMs' capability understand and interpret results explain content users natural language. In machine learning community, general vision been evaluated tested through various visual understanding benchmarks....

Deep learning approaches have provided state-of-the-art performance in many applications by relying on large and overparameterized neural networks. However, such networks are very brittle difficult to deploy resource-limited platforms. Model pruning, i.e., reducing the size of network, is a widely adopted strategy that can lead more robust compact model. Many heuristics exist for model but our understanding pruning process remains limited due black-box nature network Empirical studies show...

The existence of a large number zombie enterprises will affect the economic development and hinder transformation upgrading industries. To improve accuracy enterprise identification, this paper takes multidimensional data as original set, divides it into training set validation gives corresponding pre-processing methods. Combined with 14 standardized features, an integrated learning model for classification recognition is constructed studied based on three pattern algorithms. By using idea...

With recent advances in multi-modal foundation models, the previously text-only large language models (LLM) have evolved to incorporate visual input, opening up unprecedented opportunities for various applications visualization. Our work explores utilization of perception ability LLMs develop Autonomous Visualization Agents (AVAs) that can interpret and accomplish user-defined visualization objectives through natural language. We propose first framework design AVAs present several usage...

A continuous-time delta-sigma A/D modulator providing 85dB DR with 5MS/s output rate in a 2.5V 0.25mum CMOS process is presented. The has single-stage, dual-loop architecture allowing nearly one clock period excess loop delay. multi-bit quantizer used to increase resolution and non-return-to-zero DACs are adopted reduce jitter sensitivity. Capacitor tuning utilized overcome variation. Calibration implemented suppress DAC mismatch. Clocked at 60MHz, the chip consumes 50 mW

The Data Mining is an effective tool to discover the potential association and pattern from mass data make anticipate analysis it. may transform rich into valuable knowledge, otherwise massive will become grave which include but poor information. At Present nearly all employer abide themselves in traditional statistical stage. How policy-making significance knowledge these distributions magnanimous (for example relations pattern): forecast development tendency future according existing data?...

There are many learning resources in Internet with different architectures. One of the challenges building distance education platform is how to ensure seamless integration and interoperability among heterogeneous applications across platforms servers. This article discusses approach embed didactical functions flexible environment, use Web service technology platform. The proposed this provides a interface for participate system. A system deployment implementation plan given accordingly.

Deep learning approaches have provided state-of-the-art performance in many applications by relying on large and overparameterized neural networks. However, such networks been shown to be very brittle are difficult deploy resource-limited platforms. Model pruning, i.e., reducing the size of network, is a widely adopted strategy that can lead more robust compact model. Many heuristics exist for model but empirical studies show some improve whereas others make models or other side effects....