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2012 international conference on computer science and service system, csss 2012

ISBN: (纸本)9780769547190

The proceedings contain 574 papers. The topics discussed include: a new semi supervised FCM algorithm based on mahalanobis distance;machine vision recognition of auto-hub;knowledge-aided adaptive subspace detection in partially homogeneous environments;dictionary learning research based on sparse representation;a different approach to off-line signature verification using the optimal DTW algorithm;a real-time process scheduling policy in windows;online time series forecasting based on biorthogonal wavelet kernel support vector machine;scene visualization based on semantic-visual association;SCG and LM improved BP neural network load forecasting and programming network parameter settings and data preprocessing;research on clustering algorithm for massive data based on hadoop platform;research on java bytecode parse and obfuscate tool;and design of the solar photovoltaic system data acquisition board.

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Features enhancement of micro-service based cab booking system using block-chain 4th

Features enhancement of micro-service based cab booking syst...

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4th international conference on Computational Methods in science and Technology, ICCMST 2024

作者： Rohit Singh, Neelaksh Shukla, Riya Singh, Ashutosh Kumar Department of Computer Science and Engineering Institute of Engineering and Rural Technology Prayagraj India Department of Computer Science and Engineering United College of Engineering and Research Prayagraj India

ISBN: (纸本)9781032911571

Cab booking services help people order taxis. Existing cab booking services use client server-based architecture. The paper gives a study of the architecture and workings of the Uber cab booking website (Dissanayake, March 18, 2021). It has a micro-service based architecture (Li et al. 2021). Load balancing (Al-Jaroodi et al. 2012) and stream processing (Besnard et al. 2013) are used to handle a large number of requests. The workload is divided among servers using Dispatch Optimization (Abid et al. 2022). It ensures fast responses, easy connection minimal downtime, and efficient use of resources. However, the use of servers increases the cost of service. Rider and driver depend on the server to connect. They don’t know if the system is charging them fairly. It reduces transparency and trust. The paper proposes a blockchain-based cab booking application to solve some of the problems. Trust, transparency, and decentralization can be ensured using blockchain. Transparent and immutable ledgers of blockchain ensure trust and reduce reliance on intermediaries. Smart contracts govern ride management, optimizing efficiency. Blockchain capabilities are used to ensure fair rides, direct interaction of passengers with drivers, and automated payments. The proposed system aims at combining existing technology with blockchain solution to ensure security and transparency along with scalability and quick response time. © 2025 the Author(s).

关键词： Reservation systems

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2011 international conference on computer science and service system, csss 2011 - Proceedings

2011 International Conference on Computer Science and Servic...

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2011 international conference on computer science and service system, csss 2011

ISBN: (纸本)9781424497638

The proceedings contain 1062 papers. The topics discussed include: a comparison of the colorimetric characterization algorithms for different displays;a data processing software package for passive seismic monitoring of hydraulic fracturing;a infeasible interior point homotopy method for solving horizontal linear complementarity problem;a 3-dimension topology generation approach for networks-on-chip;a delaunay triangulation based method for optimizing backbone wireless mesh networks;a conceptual framework for ontology-based expertise knowledge map;a mobile guide system framework for museums based on local location-aware approach;a model of tourism information service composition based on fuzzy Petri net;a fuzzy linguistic based model for teaching assessment;a highly accurate software scanned cell projection algorithm and its parallelization;a conception of constructing digital campus based on next generation Internet;and a simplified discontinuous deformation analysis for simulating rock fall.

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U- and E-service, science and Technology: international conference, UNESST 2011, Held as Part of the Future Generation Information Technology ... in computer and Information science)

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2012年

作者： Taihoon Hoonn Kim Hojjat Adeli Jianhua Ma Waichi Fang Byeong-ho Kang Byungjoo Park Frode Eika Sandnes KunChang Lee

ISBN: (纸本)9783642272097

This book constitutes the refereed proceedings of the international conference, UNESST 2011, held as Part of the Future Generation Information Technology conference, FGIT 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focuse on the various aspects of u- and e-service, science and technology.

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Designing a novel network anomaly detection framework using multi-serial stacked network with optimal feature selection procedures over DDOS attacks

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international Journal of Intelligent Networks 2025年第1期6卷 1-13页

作者： Pradeep, K. Jeevan Shukla, Prashanth Kumar Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

- Distributed denial-of-service (DDoS) attacks are the major threat that disrupts the services in the computer system and networks using traffic and targeted sources. So, real-world attack detection techniques are considered an important element in executing cybersecurity tasks. The present DDoS techniques are prone to False Positive Rates (FPR) and also it didn't acquire the complicated patterns presented in the attack traffic. Internet of Things (IoT) is a complicated network with resource-constrained devices and networks that are prone to different security threats like DDoS attacks. Later, the Software Defined Networking (SDN) with IoT models is used to enhance the access control techniques and security models. DDoS attacks are considered as an important threat in the IoT networks. Hence, it is important to construct a novel network anomaly detection model with a deep learning mechanism to resolve the limitations of the existing techniques. Initially, essential data required for the validation are gathered from the IDS ISCX 2012 dataset. The optimal features are selected from input data using the Predefined-Mud Ring Algorithm (P-MRA). The optimally selected features are provided to the Multi-Serial Stacked Networks (Multi-SSN), which is the fusion of Convolutional Autoencoder (CAE), Gated Recurrent Unit (GRU), and Bayesian Learning (BL) networks. Here, the essential features for the validation are acquired from the CAE and GRU. Then, these features are stacked and given to the BL mechanism for detecting the anomalies in the network. Further, several experimental validations are performed in the developed framework over traditional network anomaly detection mechanism. © 2024 The Authors

关键词： Internet of things

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Distributed Denial of service Attack Detection by Machine Learning Techniques 22

Distributed Denial of Service Attack Detection by Machine Le...

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22nd international Learning and Technology conference, L and T 2025

作者： Jewani, Varkha K. P.E., Ajmire M., Atique B., Sharma I.B., Dhaou S., Awadhesh Chaurasia Sant Gadge Baba Amravati University Amravati India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140401 India Dar Al-Hekma University Hekma School of Engineering Computing and Design Department of Computer Science Jeddah Saudi Arabia RTM Nagpur University Department of Computer Science Nagpur India

ISBN: (纸本)9798331532215

The exponential expansion of computer networks and the internet makes it clear that there is a chance of being attacked and harmed. In the meantime, one of the most crucial defensive measures against the more complex and frequent network attacks is the intrusion detection and prevention systems (IDSs and IPSs). Due to insufficient datasets, anomaly-based research in intrusion detection systems is plagued by imprecise deployment, analysis, and evaluation. The researchers analyzed a variety of datasets, including DARPA98, KDD99, ISC2012, and ADFA13, to assess how well their suggested intrusion detection and intrusion prevention techniques performed. There are several issues: lack of adequate attack coverage, unrepresentative payloads, and anonymised packet information, insufficient traffic volume and diversity, or a deficiency in feature set and metadata. This study is focused on CICIDS-2017 which is the recently updated IDS dataset that meets real-world requirements and is accessible publicly. In addition to benign network flows and distributed denial of service (DDoS) attacks, it contains seven common attack network flows as well. To provide the optimal combination of features for the identification of the attack category, it also assesses the efficacy of several machine learning (ML) algorithms and network traffic feature sets. Even though various ML techniques like Linear Regression, Random Forests, and Decision Tree can be used, and performed very well, Hybrid Algorithm is designed to get better analysis on dataset. © 2025 IEEE.

关键词： Network intrusion

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A comparative study of recommender systems in different domains 4th

A comparative study of recommender systems in different doma...

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4th international conference on Computational Methods in science and Technology, ICCMST 2024

作者： Rohit Sharma, Aditi Kumar, Aditya Singh, Prabal Singh, Ashutosh Kumar Department of Computer Science and Engineering Institute of Engineering and Rural Technology Prayagraj India

ISBN: (纸本)9781032911571

Recommender systems are techniques designed to enhance user experience in various domains. They suggest relevant items to users based on their behavior and preferences (Linyuan et al. Feb 2012). These systems are being extensively utilized in domains such as e-commerce, social media, and video streaming platforms. A recommender system aims to provide personalized recommendations to users based on their past behavior, preferences, and other similar data. The recommender system receives input data from users. Several recommender systems are available nowadays, making it challenging to select one. It would be beneficial to conduct a comparative analysis of various recommendation systems. The research paper attempts to conclude the performance of various recommender systems by using a variety of evaluation metrics. Evaluation metrics provide insights into the effectiveness of the recommendation algorithms. This guides the selection of the most appropriate model for a given application (Oona et al. 2024). The comparative study aims to examine and analyze different recommender systems across various domains. We evaluate the performance of these systems in improving user experiences and increasing user interaction. By studying the performance of recommender systems in different domains, we gain insights into the strengths and limitations of each approach. © 2025 the Author(s).

关键词： collaborative content-based evaluation metric hybrid recommendation recommender

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An Ultrahigh-Linearity MOEMS Accelerometer Based on a Self-Traceable Grating Interferometer

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IEEE Sensors Journal 2025年第9期25卷 15914-15922页

作者： Chang, Zhikun Song, Song Niu, Pengfei Xiao, Guangxu Lin, Zichao He, Chunling Deng, Xiao Xue, Dongbai Xie, Yuying Cheng, Xinbin Li, Tongbao Institute of Precision Optical Engineering MOE Key Laboratory of Advanced Micro-Structured Materials Shanghai Frontiers Science Center of Digital Optics Shanghai Professional Technical Service Platform for Full-Spectrum and High-Performance Optical Thin Film Devices and Applications School of Physics Science and Engineering Tongji University School of Physics Science and Engineering Shanghai200092 China Zhejiang University of Water Resources and Electric Power School of Computer Science and Technology Hangzhou310018 China Tianjin University State Key Laboratory of Precision Measuring Technology and Instruments Tianjin300072 China

The linearity of the accelerometer directly affects its measurement accuracy and applicability, making it a key metric in the development of high-performance accelerometers. In response, this article proposes an ultrahigh-linearity MOEMS accelerometer based on a self-traceable grating (STG) interferometer. The accelerometer integrates an MEMS resonator with an STG interferometer based on chromium (Cr) atom transition frequency 7S3 → 7P4, enabling direct traceability of displacement to the international system of Units (SI) "meter." Specifically, the average pitch of the Cr grating used is (212.781 ± 0.008) nm ( k = 2 ), showing outstanding uniformity and long-term stability. Furthermore, the compact interferometer design gives it an overall size of just 7.5 × 7.5 × 2 cm, facilitating portable measurements in practical applications. Experimental results show that the accelerometer achieves ultrahigh performance with a nonlinearity of 0.04%. The device also demonstrates a sensitivity of 13.77 μm/g within a measurement range of ±1.6 g, with a noise floor of 9.6 × 10-7 g/√Hz. The integration of STG technology with the MEMS resonator offers a scalable solution for high precision, field-deployable accelerometer measurements, greatly improving measurement linearity and traceability. © 2001-2012 IEEE.

关键词： Accelerometers

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Consideration of Durability and Storability at the Overall Dependability Assessment of Industrial Control systems 1

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7th international Russian Automation conference, RusAutoCon 2024

作者： Solovyev, A.V. Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences 44/2 Vavilova str. Moscow119333 Russia

ISBN: (数字)9783031824944

ISBN: (纸本)9783031824937

The article presents the indicators for the quantitative assessment of durability and storability developed in this research and mathematical models for their calculation and use in the assessment of the overall dependability of industrial control systems. The relevance of the research is underpinned by the fact that data in digital form during the digital transformation of the economy and society is becoming a key factor in digital manufacturing in general and when used in industrial control systems in particular. Mathematical models are developed for the following indicators: storage life, probability of storability, mean storage life, and gamma-percentile storage life. The proposed system of indicators is new and was developed on the basis of international standards for dependability assessment, such as GOST 27.102-2021, IEC 60319, ISO 2394, GOST R 54989-2012, and ISO/TR 18492:2005. The advantage of the proposed system of indicators is their simplicity and harmonization with the existing calculations of standardized dependability indicators. In further research, the author plans to improve the presented mathematical models of durability and storability assessment and develop a methodology for their consideration in the overall dependability assessment of industrial control systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Digital control systems

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Overview of 2024 CAD Contest at ICCAD 24

Overview of 2024 CAD Contest at ICCAD

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43rd international conference on computer-Aided Design, ICCAD 2024

作者： Fang, Shao-Yun Liu, Yi-Yu Cheng, Chung-Kuan Tseng, Tsun-Ming Department of EE National Taiwan University of Science and Technology Taipei Taiwan Department of CS National Taiwan University of Science and Technology Taipei Taiwan Department of CSE University of California San Diego San Diego United States EDA Technical University of Munich Munich Germany

ISBN: (纸本)9798400710773

The "CAD Contest at ICCAD" is a challenging, multi-month, research and development competition, focusing on advanced, real-world problems in the field of electronic design automation (EDA). Since 2012, the contest has been publishing many sophisticated circuit design problems, from system-level design to physical design, together with industrial benchmarks and solution evaluators. Contestants can participate in one or more problems provided by EDA/IC industry. The winners will be awarded at an ICCAD special session dedicated to this contest. Every year, the contest attracts more than a hundred teams, fosters productive industry-academia collaborations, and leads to hundreds of publications in top-tier conferences and journals. The 2024 CAD Contest has 221 teams from all over the world, which generates the highest participation record. Moreover, the problems of this year cover state-of-the-art EDA research trends such as logic optimization, multibit flip-flop, and Machine Learning (ML) for EDA from well-known EDA/IC companies. We believe the contest keeps enhancing impact and boosting EDA researches. © 2024 Copyright is held by the owner/author(s).

关键词： Logic Synthesis

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