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An Automated Feature Engineering Method for Online Payment Fraud Detection

Jisuanji Xuebao/Chinese Journal of computers 2020年第10期43卷 1983-2001页

作者： Wang, Cheng Wang, Chang-Qi Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai201804 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China

Internet finance fraud is an increasingly serious social and economic problem. Online payment services (OPSs) are the typical models of Internet finance, and the fraudulent transaction in OPSs is also a typical fraud pattern. The method of identifying fraudulent transactions by constructing a fraud detection model based on machine learning has become a promising idea for online payment anti-fraud. In the process of constructing fraud detection models, the feature engineering is the most critical step. It is also one of the most time-consuming and specialized steps in the relevant area. In the study of feature engineering, the existing online payment fraud detection models are mainly carried out by experts in the form of manual construction based on business knowledge. However, there are many fraud scenarios in OPSs where the process of feature construction is so different. Artificial feature construction methods can no longer meet the increasing demand of anti-fraud. An important way to solve this problem is to automate feature engineering. In the field of Internet financial anti-fraud, the expressibility and interpretability of features play a pivotal role. It is helpful to understand the original source fields and their construction process of important features. This is useful for mining and analyzing the characteristics of fraud methods and follow-up improvement rules engines. These are of great significance for fraud detection models. Therefore, the interpretability of the model method is particularly important. Usually, the optimization of detection accuracy is carried out under the premise of ensuring interpretability. This paper proposed a lightweight, tree-structure, high efficiency and scalable automatic feature engineering method for fraud detection of online payment. The method is as follows: (1) The method has low requirements on the calculation conditions and little dependence on the dataset samples. To realize this advantage, it used the tree structur

关键词： Feature extraction

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Efficient Parallelization of a Protein Sequence Comparison Algorithm on Manycore architecture

Efficient Parallelization of a Protein Sequence Comparison A...

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IEEE International Conference on Parallel and Distributed computing, Applications and Technologies (PDCAT)

作者： Xiaochun Ye Van Hoa Nguyen Dominique Lavenier Dongrui Fan Chinese Academy of Sciences Beijing China Key Lab of Computer System and Architecture Institute of Computing Technology Chinese Academy and Sciences Beijing China CNRS IRISA/INRIA Rennes France

This paper introduces the Godson-T manycore architecture and demonstrates the efficiency of its synchronization mechanism through a computation intensive bioinformatics application: the comparison of protein banks. The parallel part of the protein sequence comparison algorithm can nearly get a linear speed-up thanks to a fine tuning of the synchronization mechanism provided by the Godson-T chip.

关键词： Protein sequence Bioinformatics computer architecture Genomics Databases Tiles computer displays Scanning probe microscopy Distributed computing Application software

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XOS: An application-defined operating system for datacenter computing

arXiv

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arXiv 2019年

作者： Zheng, Chen Wang, Lei McKee, Sally A. Zhang, Lixin Ye, Hainan Zhan, Jianfeng State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences China Chalmers University of Technology Beijing Academy of Frontier Sciences and Technology

—Rapid growth of datacenter (DC) scale, urgency of cost control, increasing workload diversity, and huge software investment protection place unprecedented demands on the operating system (OS) efficiency, scalability, performance isolation, and backward-compatibility. The traditional OSes are not built to work with deep-hierarchy software stacks, large numbers of cores, tail latency guarantee, and increasingly rich variety of applications seen in modern DCs, and thus they struggle to meet the demands of such workloads. This paper presents XOS, an application-defined OS for modern DC servers. Our design moves resource management out of the OS kernel, supports customizable kernel subsystems in user space, and enables elastic partitioning of hardware resources. Specifically, XOS leverages modern hardware support for virtualization to move resource management functionality out of the conventional kernel and into user space, which lets applications achieve near bare-metal performance. We implement XOS on top of Linux to provide backward compatibility. XOS speeds up a set of DC workloads by up to 1.6× over our baseline Linux on a 24-core server, and outperforms the state-of-the-art Dune by up to 3.3× in terms of virtual memory management. In addition, XOS demonstrates good scalability and strong performance isolation. Copyright © 2019, The Authors. All rights reserved.

关键词： Scalability

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SelectCast: Scalable Data Aggregation Scheme in Wireless Sensor Networks

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IEEE Transactions on Parallel and Distributed systems 2012年第10期23卷 1958-1969页

作者： Cheng Wang Changjun Jiang Shaojie Tang Xiang-Yang Li Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science and Engineering University of Tongji China Department of Computer Science Illinois Institute of Technology Chicago IL USA Department of Computer Science and Engineering Tsinghua National Laboratory for Information Science and Technology (TNLIST) University of Tongji China

In this work, for a wireless sensor network (WSN) of n randomly placed sensors with node density \lambda \in [1,n], we study the tradeoffs between the aggregation throughput and gathering efficiency. The gathering efficiency refers to the ratio of the number of the sensors whose data have been gathered to the total number of sensors. Specifically, we design two efficient aggregation schemes, called single-hop-length (SHL) scheme and multiple-hop-length (MHL) scheme. By novelly integrating these two schemes, we theoretically prove that our protocol achieves the optimal tradeoffs, and derive the optimal aggregation throughput depending on a given threshold value (lower bound) on gathering efficiency. Particularly, we show that under the MHL scheme, for a practically important set of symmetric functions called divisible perfectly compressible (DPC) functions, including the mean, max, and various kinds of indicator functions, etc., the data from \Theta (n) sensors can be aggregated to the sink at the throughput of a constant order \Theta (1), implying that, our MHL scheme is indeed scalable.

关键词： Throughput Wireless sensor networks Temperature measurement Protocols Lattices Temperature sensors

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BTI Aging Monitoring based on SRAM Start-up Behavior

BTI Aging Monitoring based on SRAM Start-up Behavior

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Asian Test Symposium (ATS)

作者： Shengyu Duan Peng Wang Gaole Sai School of Computer Engineering and Science Shanghai University Shanghai China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology China

ISBN: (数字)9781728174679

ISBN: (纸本)9781728174686

Bias Temperature Instability (BTI) is one of the dominant CMOS aging mechanisms. It causes time-dependent variation, threatening circuit lifetime reliability. BTI-induced circuit errors are not detectable at the fabrication stage. On-line monitoring schemes are therefore necessary to capture the degradations during the operational time. Traditional aging monitoring techniques exhibit high implementation complexity and low stability. In this paper, we propose a BTI monitoring approach by simply tracking the start-up behavior of SRAM cells. SRAM is a widely used on-chip device in many applications. We study the impact of BTI for SRAM start-up values and age some cells in a manipulated manner. The BTI degradation is evaluated based on the number of SRAM cells starting with a certain value. This technique can be used to estimate the degradation for on-chip logic circuits without introducing additional circuitry, and thus has very low implementation complexity. We use an SRAM array with 1024 cells to estimate the degradations for multiple logic circuits, and show the average mean absolute percentage error as 8.48%. In addition, this technique is robust considering process, voltage and temperature variations.

关键词： Degradation Monitoring Logic circuits Transistors SRAM cells Aging system-on-chip

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Large Scale Model Enabled Semantic Communications Based on Robust Knowledge Distillation

Large Scale Model Enabled Semantic Communications Based on R...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Ding, Kuiyuan Liu, Fangfang Yang, Yang Chen, Mingzhe Guo, Caili Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering The Institute for Data Science and Computing Coral GablesFL33146 United States Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China

ISBN: (纸本)9798350351255

Large scale artificial intelligence (AI) models possess excellent capabilities in semantic representation and understanding, making them particularly well-suited for semantic encoding and decoding. However, the substantial scale of these AI models imposes unacceptable computational resources and communication delays. To address this issue, we propose a semantic communication scheme based on robust knowledge distillation (RKD-SC) for large scale model enabled semantic communications. In the considered system, a transmitter extracts the features of the source image for robust transmission and accurate image classification at the receiver. To effectively utilize the superior capability of large scale model while make the cost affordable, we first transfer knowledge from a large scale model to a smaller scale model to serve as the semantic encoder. Then, to enhance the robustness of the system against channel noise, we propose a channel-aware autoencoder (CAA) based on the Transformer architecture. Experimental results show that the encoder of proposed RKD-SC system can achieve over 93.3% of the performance of a large scale model while compressing 96.67% number of parameters. Code: https://***/echojayne/RKD-SC. © 2024 IEEE.

关键词： Channel coding

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DCMTs: Supporting Dynamically Created Migratory Threads

DCMTs: Supporting Dynamically Created Migratory Threads

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IEEE International Conference on Computational Science and Engineering, CSE

作者： Yueting Zhu Wu Zhang Hai Jiang Yu Lei Junjie Peng Department of Computer Science and Engineering Shanghai University Shanghai China Department of Computer Science and Engineering University of Technology Arlington TX USA Department of Computer Science Arkansas State University Jonesboro AR USA Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy and Sciences China

Thread migration is an effective technique for fault resilience and load balancing in high performance computing. However, flexible thread migration is not easy to achieve. In this paper, we present an approach to creating migratory threads dynamically at application level. The targets must be executable source files. Compared to the static ones, the number of threads created during migration with the new scheme is independent from the context. Various thread cases are considered for migration. Thread state is handled at application level. Variables are saved in structures in C language for speedy state construction. In order to solve the inability of traditional methods in tracking the created threads, a tree of active function calls is used to record the callback. The preprocessor of the proposed one is written in YACC for accuracy and programmability. The migration enabling process is transparent to programmers with the help of the preprocess. The experimental results have demonstrated the effectiveness of this approach.

关键词： Instruction sets Switches computer science Electronic mail Data preprocessing Flexible printed circuits

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Beyond Green: Evolution to Adaptability and Recyclability

Beyond Green: Evolution to Adaptability and Recyclability

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social computing (CPSCom) Green computing and Communications (GreenCom)

作者： Yuzhong Sun Ying Song Key Laboratory of Computer System and Architecture Chinese Academy of Sciences (CAS) Beijing China Institute of Computing Technology Chinese Academy of Sciences (CAS) Beijing China Key Lab. of Comput. Syst. & Archit. Beijing China

In current social computing system, not only hardware but also software experiences a directly discarded mode. Such directly discarded mode may result in huge waste. The major challenge in green computing is the recyclability of the computing system. In order to address this challenge in the software field, this paper proposes a design idea of green software embodying the adaptability and recyclability. The adaptable and recyclable strategy may consist of two phases. The first one is compressing the increasingly deeper software stack, another one is keeping the functionality recycling and code reuse. The adaptability and recyclability mean automatically decomposing the complex software into several parts which are ease to be reused and automatically selecting the feasible parts for the on-writing software. And we also explore the system software design path to adaptability and recyclability in our previous work as well as in the future.

关键词： Hardware Green products Recycling Software design computers Complexity theory

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Ultra-Fast Mini License Plate Recognition system Based-on Vision Processing Unit 20

Ultra-Fast Mini License Plate Recognition System Based-on Vi...

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Proceedings of the 2020 2nd International Conference on Big-data Service and Intelligent Computation

作者： Junhui Wang Shuangyin Ren Jiezhong He Xiaolan Ji Diqing Huang College of Computer National University of Defense Technology and State Key Laboratory of Mathematical Engineering and Advanced Computing China National Key Laboratory of Science and Technology on Information System Security Institute of Systems Engineering Academy of Military Science College of Computer National University of Defense Technology

ISBN: (纸本)9781450388399

As more embedded environments need license plate recognition systems, how to recognize car plates with high speed/accuracy and low energy has become an important and challenging problem. In this paper, we propose a ultra-Fast miNi (FaNi) license plate recognition (LPR) system. The FaNi system are divided into one training sub-system and one inference sub-system. The former are used to get some offline features; then, the latter is deployed online to recognize license numbers with nearly real-time speed. The inference system is comprised of the vision processing unit (VPU) and the display unit. These two parts are both implemented with hardware logic. Experiments show that the FaNi system can obtain high accuracy and high speed with low resource cost.

关键词： VPU Plate Recognition system FPGA

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Real-time rendering techniques of lunar massive terrain data based on wavelet

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Journal of Computational Information systems 2012年第14期8卷 6079-6085页

作者： Feng, Yinghao Wang, Riwei Zhang, Hua Wen, Xianbin Hou, Huaiyu Jiang, Mingyan Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Shanghai Aviation Precision Machinery Research Institute Shanghai 201600 China

A terrain data organization method was proposed in this article in order to solve large scale data realtime rendering problem, which combines wavelet transform and quadtree to organize the terrain data, to further build a multi-resolution lunar terrain model. The experiment result shows that this method can achieve real-time visualization and interaction of massive terrain data of the whole surface of lunar. © 2011 by Binary Information Press.

关键词： Wavelet transforms

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