Tootfinder

ETrace:Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis
Chenyang Peng, Haijun Wang, Yin Wu, Hao Wu, Ming Fan, Yitao Zhao, Ting Liu
https://arxiv.org/abs/2506.15790

ETrace:Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis
With the advance application of blockchain technology in various fields, ensuring the security and stability of smart contracts has emerged as a critical challenge. Current security analysis methodologies in vulnerability detection can be categorized into static analysis and dynamic analysis methods.However, these existing traditional vulnerability detection methods predominantly rely on analyzing original contract code, not all smart contracts provide accessible code.We present ETrace, a novel…

Visualization on Smart Wristbands: Results from an In-situ Design Workshop with Four Scenarios
Alaul Islam, Fairouz Grioui, Raimund Dachselt, Petra Isenberg
https://arxiv.org/abs/2508.15249

Visualization on Smart Wristbands: Results from an In-situ Design Workshop with Four Scenarios
We present the results of an in-situ ideation workshop for designing data visualizations on smart wristbands that can show data around the entire wrist of a wearer. Wristbands pose interesting challenges because the visibility of different areas of the band depends on the wearer's arm posture. We focused on four usage scenarios that lead to different postures: office work, leisurely walks, cycling, and driving. As the technology for smart wristbands is not yet commercially available, we conduct…

Bridging MOOCs, Smart Teaching, and AI: A Decade of Evolution Toward a Unified Pedagogy
Bo Yuan, Jiazi Hu
https://arxiv.org/abs/2507.14266 https://

Bridging MOOCs, Smart Teaching, and AI: A Decade of Evolution Toward a Unified Pedagogy
Over the past decade, higher education has evolved through three distinct paradigms: the emergence of Massive Open Online Courses (MOOCs), the integration of Smart Teaching technologies into classrooms, and the rise of AI-enhanced learning. Each paradigm is intended to address specific challenges in traditional education: MOOCs enable ubiquitous access to learning resources; Smart Teaching supports real-time interaction with data-driven insights; and generative AI offers personalized feedback a…

Smart Charging Impact Analysis using Clustering Methods and Real-world Distribution Feeders
Ravi Raj Shrestha, Zhi Zhou, Limon Barua, Nazib Siddique, Karthikeyan Balasubramaniam, Yan Zhou, Lusha Wang
https://arxiv.org/abs/2508.15092

Smart Charging Impact Analysis using Clustering Methods and Real-world Distribution Feeders
The anticipated widespread adoption of electric vehicles (EVs) necessitates a critical evaluation of existing power distribution infrastructures, as EV integration imposes additional stress on distribution networks that can lead to component overloading and power quality degradation. Implementing smart charging mechanisms can mitigate these adverse effects and defer or even avoid upgrades. This study assesses the performance of two smart charging strategies - Time of Use (TOU) pricing and Load …

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications
Jayesh Choudhari, Piyush Kumar Singh, Douglas McIlwraith, Snehal Nair
https://arxiv.org/abs/2507.15884

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications
Prompt design is a critical factor in the effectiveness of Large Language Models (LLMs), yet remains largely heuristic, manual, and difficult to scale. This paper presents the first comprehensive evaluation of Automatic Prompt Optimization (APO) methods for real-world, high-stakes multiclass classification in a commercial setting, addressing a critical gap in the existing literature where most of the APO frameworks have been validated only on benchmark classification tasks of limited complexity…

Lately I've started being mischievous towards normals who have the perceptiveness of an average smartphone user.
When I'm in an Elf II from Koleje Wielkopolskie and I happen to be the first person at the doors, I push the door opening button early. Then I just stand there and wait for the doors to open, while people behind me start panicking that nobody's pushing the button.
Of course it's highlighted as already pressed the whole time.
#rail

"Ashwat Prasanna unveils EyeSight: Revolutionary, affordable smart glasses for India's visually impaired" https://businessnewsthisweek.com/news/ashwat-prasanna-unveils-eyesight-revo…

The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic
Andr\'e Felipe Zanella, Linus W. Dietz, Sanja \v{S}\'cepanovi\'c, Ke Zhou, Zbigniew Smoreda, Daniele Quercia
https://arxiv.org/abs/2508.15516

The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic
Landscape architecture typically considers urban parks through the lens of form and function. While past research on equitable access has focused mainly on form, studies of functions have been constrained by limited scale and coarse measurement. Existing efforts have partially quantified functions through small-scale surveys and movement data (e.g., GPS) or general usage records (e.g., CDR), but have not captured the activities and motivations underlying park visits. As a result, our understand…

Automated Energy Billing with Blockchain and the Prophet Forecasting Model: A Holistic Approach
Ajesh Thangaraj Nadar, Soham Chandane, Gabriel Nixon Raj, Nihar Mahesh Pasi, Yash Arvind Patil
https://arxiv.org/abs/2506.16649

Automated Energy Billing with Blockchain and the Prophet Forecasting Model: A Holistic Approach
This paper presents a comprehensive approach to automated energy billing that leverages IoT-based smart meters, blockchain technology, and the Prophet time series forecasting model. The proposed system facilitates real-time power consumption monitoring via Wi-Fi-enabled ESP32 modules and a mobile application interface. It integrates Firebase and blockchain for secure, transparent billing processes and employs smart contracts for automated payments. The Prophet model is used for energy demand fo…