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TNM: A Tool for Mining of Socio-Technical Data from Git Repositories 18

TNM: A Tool for Mining of Socio-Technical Data from Git Repo...

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29th ieee/ACM International conference on Program Comprehension (ICPC) / 18th ieee/ACM International conference on Mining Software Repositories (MSR)

作者： Sviridov, Nikolai Evtikhiev, Mikhail Kovalenko, Vladimir ITMO Univ Dept IT & Programming St Petersburg Russia JetBrains Res Intelligent Collaborat Tools Lab St Petersburg Russia JetBrains Res Intelligent Collaborat Tools Lab Amsterdam Netherlands

ISBN: (纸本)9781728187105

networks of collaboration between engineers are reflected in traces of developers' activity in version control systems (VCSs). Extracting data from Git repositories is an essential task for researchers and practitioners working on socio-technical analysis, but it requires substantial engineering work. With increasing interest in analysing socio-technical data and applying it in practice, there are no flexible and easily reusable tools to retrieve socio-technical information from VCSs. With no common reusable toolkit existing for this task, the burden of mining diverts the focus of researchers from their core research questions. In this paper, we present TNM-an open-source tool for mining socio-technical data from Git repositories. TNM is fast, flexible, and easily extensible.

关键词： Collaboration Tools Control systems Data mining Task analysis open source software

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Feed-forward and recurrent inhibition for compressing and classifying high dynamic range biosignals in spiking neural network architectures

Feed-forward and recurrent inhibition for compressing and cl...

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ieee Biomedical Circuits and Systems (BIOCAS)

作者： Rachel Sava Elisa Donati Giacomo Indiveri Institute of Neuroinformatics University of Zurich and ETH Zurich Switzerland

Neuromorphic processors that implement Spiking Neural networks (SNNs) using mixed-signal analog/digital circuits represent a promising technology for closed-loop real-time processing of biosignals. As in biology, to minimize power consumption, the silicon neurons’ circuits are configured to fire with a limited dynamic range and with maximum firing rates restricted to a few tens or hundreds of Herz. However, biosignals can have a very large dynamic range, so encoding them into spikes without saturating the neuron outputs represents an open challenge. In this work, we present a biologically-inspired strategy for compressing this high-dynamic range in SNN architectures, using three adaptation mechanisms ubiquitous in the brain: spike-frequency adaptation at the single neuron level, feed-forward inhibitory connections from neurons belonging to the input layer, and Excitatory-Inhibitory (E-I) balance via recurrent inhibition among neurons in the output layer. We apply this strategy to input biosignals encoded using both an asynchronous delta modulation method and an energy-based pulse-frequency modulation method. We validate this approach in silico, simulating a simple network applied to a gesture classification task from surface EMG recordings.

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Proposal of topics for data science through the development of a database management system

Proposal of topics for data science through the development ...

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International Mexican International conference on Computer Science (ENC)

作者： Garcia, Carlos A. Espinoza Lopez-Morteo, Gabriel Univ Autonoma Baja California Inst Ingn Mexicali Baja California Mexico

ISBN: (纸本)9781665426121

At present, information systems generate large amounts of data that are used for decision-making. Profiles are required in data science that implement detailed analysis and expose the results. To meet the requirements as a data scientist, it is necessary to cover various aspects, algorithm development, knowledge in exact sciences and application of data manipulation tools. The demand for professionals in the data science area is not being met. This article presents a case study of COVID-19 Mexico in a procedural way. The knowledge that must be taken into account before carrying out the analysis of the information is described, such as types of databases, programming languages, computational capacity, knowledge in networks, data mining, methodologies, architectures of development, services. The problem is that information platforms are created and these lack documentation in the applied methodology, which means that the researcher who does not have a computing profile cannot access data sets for analysis.

关键词： data data science analysis data manipulation tools COVID-19 architectures of development services methodologies data mining

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Cybersecurity in SCADA Systems with Advanced AI and ML Techniques

Cybersecurity in SCADA Systems with Advanced AI and ML Techn...

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International Scientific conference on Information Technology and Management Science of Riga Technical University (ITMS)

作者： Heinrihs Skrodelis Rudolfs Kelle Andrejs Romanovs Institute of Information Technology Riga Technical University Riga Latvia CERT.LV Riga Latvia

ISBN: (数字)9798331533830

ISBN: (纸本)9798331533847

SCADA systems are crucial for monitoring and controlling key infrastructures such as power grids, water supply, transportation networks, and industrial processes. With the increasing interconnectivity and complexity of these systems, they are exposed to numerous cybersecurity challenges. This paper provides a comprehensive literature review focusing on the vulnerabilities in SCADA systems and explores measures to mitigate these risks. Key vulnerabilities include the lack of built-in security mechanisms, open access networks, proprietary protocols, reliance on legacy systems and insecure network architectures. Various cybersecurity strategies such as adopting security standards, utilizing encryption, regular updates, network segmentation, intrusion detection systems (IDS) and security information and event management (SIEM) are discussed to enhance SCADA security. Additionally, the paper highlights the growing significance of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing the security and robustness of SCADA systems.

关键词： Protocols SCADA systems Transportation network architecture Aging Data models Encryption Security Artificial intelligence Standards

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Soft open Point Planning Method for Active Distribution network Based on Generative Adversarial network

Soft Open Point Planning Method for Active Distribution Netw...

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ieee conference on Energy Internet and Energy System Integration (EI2)

作者： Hao Wang Qiyou Lin Hongxing Wang Yuan Ge Nuo Yu Shinong Wang School of Electrical Engineering Anhui Polytechnic University Wuhu China Wuhu Fanchang District Power Supply Company State Grid Anhui Electric Power Co. Ltd Wuhu China Wuwei City Power Supply Company State Grid Anhui Electric Power Co. Ltd Wuhu China School of Electrical Engineering Anhui Polytechnic University Anhui Institute of Future Technology Wuhu China

With the continuous increase of the penetration rate of distributed generation (DG) in the distribution network, higher requirements have been put forward for the dependable and cost-effective operation of the distribution network. In order to address the impact caused by the intermittent output of a large number of DGs on the distribution network, this article proposes a planning method for soft open point (SOP) using generative adversarial network (GAN). First, to accurately simulate the operating characteristics of DG, a GAN is employed for sce-nario generation. Then, operational constraints for distribution networks with SOP are proposed, with the objective function being the minimization of annual total cost. By relaxing and linearizing the original non-convex and non-linear constraints, a second-order cone programming model is derived, and the objective function is solved under the constraints. Finally, the proposed scenario generation algorithm and planning model are analyzed and veriffed on the ieee 33- node test system.

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Resolving Infeasibility in Linear Programs for the Frequent Itemset Hiding Problem 33

Resolving Infeasibility in Linear Programs for the Frequent ...

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ieee 33rd International conference on Tools with Artificial Intelligence (ICTAI)

作者： Krasadakis, Panteleimon Verykios, Vassilios S. Sakkopoulos, Evangelos Univ Piraeus Dept Informat Piraeus Greece Hellen Open Univ Sch Sci & Technol Patras Greece

ISBN: (纸本)9781665408981

Hiding sensitive knowledge in transactional databases is a problem that can be addressed through the use of frequent itemset hiding. A well established and robust methodology for hiding sensitive itemsets in transactional databases is embodied through different database extension schemes. Having considered this field extensively in our past and recent research agenda, we proposed a constraint-based hiding model that relies on Border revision and Linear programming. The Linear Program strives to find the optimal solution to our problem by suggesting which itemsets to add in the extended database for maximum security and data quality. Unfortunately, linear programs do not always have either feasible or optimal solutions, so in this paper we propose some alternate approaches in case of not feasible Linear Programs and suggest the most suitable ones, depending on the needs of the user.

关键词： Privacy Techniques Frequent Itemset Hiding Linear programming

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PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural network Accelerators

PIM-HLS: An Automatic Hardware Generation Tool for Heterogen...

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Design Automation conference

作者： Yu Zhu Zhenhua Zhu Guohao Dai Fengbin Tu Hanbo Sun Kwang-Ting Cheng Huazhong Yang Yu Wang Department of Electronic Engineering BNRist Tsinghua University Beijing China Qingyuan Research Institute Shanghai Jiao Tong University Shanghai China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

Processing-in-memory (PIM) architectures have shown great abilities for neural network (NN) acceleration on edge devices that demand low latency under severe area constraints. Heterogeneous PIM architectures with different PIM implementation approaches such as RRAM-based PIM and SRAM-based PIM can further improve the performance. However, the automatic generation of heterogeneous PIM architectures faces the following two unresolved problems. First, existing work has not considered the design for heterogeneous PIM-based NN accelerators with multiple memory technologies. Second, for PIM with insufficient memory on edge devices, it is challenging to find the optimal runtime weight scheduling strategy in an O(L!) optimization space for the NN with L *** this paper, we propose PIM-HLS, an automatic hardware generation tool for heterogeneous PIM-based NN accelerators. Aiming at the problems above, we first point out that heterogeneous PIM can improve the performance under severe area constraints. Then we optimize the architectures for each NN layer by taking the advantage of different memory technologies. We also define the optimization problem of runtime weight scheduling and mapping for the first time, and propose a dynamic-programming-based weight scheduling algorithm to reduce the optimization space to O(L 2 ). We implement PIM-HLS to automatically generate the hardware code and the instructions. Results show that we achieve an averagely 5.9× speedup with 72.8% less area compared with state-of-the-art PIM designs.

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programming an SSD Controller to Support Batched Writes for Variable-Size Pages 37

Programming an SSD Controller to Support Batched Writes for ...

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37th ieee International conference on Data Engineering (ieee ICDE)

作者： Do, Jaeyoung Luo, Chen Lomet, David Microsoft Res Redmond WA 98052 USA Univ Calif Irvine Irvine CA USA

ISBN: (纸本)9781728191843

Exploiting a storage hierarchy is critical to cost-effective data management. However, most systems are challenged when data is not in cache because of the additional I/O to move data between SSD and main memory. To improve both cost and performance, some systems use a log structured store to write a batch of pages instead of a "block-at-a-time". However, host-based log structuring incurs the additional cost and complexity of garbage collection and recovery, duplicating similar SSD FTL functionality. In prior work, we presented a customized SSD controller implementation for an open-Channel SSD to enable host computers to write batches of fixed size pages. This current work is a major redesign to support a batched write interface with variable size pages. Variable size pages can enable easy support of data compression and encryption, as well as reducing internal page storage fragmentation, e.g, within a B-tree. Thus it further improves I/O performance while making it easier and more efficient to support these capabilities.

关键词： Computers conferences Data compression programming Data engineering Hardware Encryption

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Identification Based on the Optimal Information Structure of Non-Stationary Objects

Identification Based on the Optimal Information Structure of...

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2025 International Russian Smart Industry conference, SmartIndustryCon 2025

作者： Jumanov, Isroil I. Xolmonov, Sunatillo M. Djumanov, Olimjon I. Samarkand State University named after Sh. Rashidov Department of Artificial Intelligence and Information Systems Samarkand Uzbekistan

ISBN: (纸本)9798331511241

Scientific and methodological foundations have been developed for optimizing the identification of non-stationary objects based on the optimal information structure with mechanisms for selecting an adequate model, reducing excess space, highlighting, dividing random time series, clustering, and forecasting, subject to a priori limitations and parametric uncertainty of processes. The effectiveness of using identifiers based on dynamic models combined with a neural network has been studied. Algorithms for combined statistical and dynamic models and neural networks of various architectures have been implemented. Tools for modeling processes and presenting statistical, dynamic and specific characteristics were obtained. The computational schemes of network components with mechanisms for setting variables, optimization, and adaptive network training have been improved.v A cognitive analysis of variables has been implemented taking into account structural complexity, stochasticity of element connections based on a stochastic regression model, by tracking the ambiguity of dynamics. Optimization problems based on the probabilistic risk function and sliding control were solved. A generalized algorithm for identifying non-stationary objects is constructed based on tools for identifying boundaries, the general range of element values, selecting informative elements, and generating training sets. An identification software package was implemented in C++ in the parallel computing environment "CUDA". © 2025 ieee.

关键词： Dynamic programming

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GOMIL: Global Optimization of Multiplier by Integer Linear programming

GOMIL: Global Optimization of Multiplier by Integer Linear P...

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Design, Automation and Test in Europe conference and Exhibition (DATE)

作者： Xiao, Weihua Qian, Weikang Liu, Weiqiang Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Shanghai Peoples R China Shanghai Jiao Tong Univ MoE Key Lab Artificial Intelligence Shanghai Peoples R China Fudan Univ State Key Lab ASIC & Syst Shanghai Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing Peoples R China

ISBN: (纸本)9783981926354

Multiplier is an important arithmetic circuit. State-of-the-art designs consist of a partial product generator (PPG), a compressor tree (CT), and a carry propagation adder (CPA), with the last two components dominating the area and delay. Existing representative works optimize the CT and the CPA separately, adding a rigid boundary between these two components. In this paper, we break the boundary by proposing GOMIL, a global optimization for multiplier by integer linear programming. Two ILP sub-problems are first formulated to optimize the CT and the prefix structure in the CPA, respectively. Then, they are unified to provide a global optimization to the multiplier. The proposed method is applicable to not only multipliers with the AND gate-based PPG, but also those with Booth encoding-based PPG. The experimental results showed that the multipliers optimized by GOMIL can reduce the power-delay product by up to 71%, compared to the state-of-the-art multipliers developed in industry. The code of GOMIL is made open-source.

关键词： Multiplier Compressor Tree Prefix Tree Integer Linear programming Optimization

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