Applied Computing Review最新文献_第9页

Exploring alternatives of Complex Event Processing execution engines in demanding cases 探索复杂事件处理执行引擎在苛刻情况下的替代方案

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577734

Styliani Kyrama, A. Gounaris

引用次数: 0

DEDACS: Decentralized and dynamic access control for smart contracts in a policy-based manner dedecs:基于策略的智能合约去中心化动态访问控制

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577676

Kristof Jannes, Vincent Reniers, Wouter Lenaerts, B. Lagaisse, W. Joosen

{"title":"DEDACS: Decentralized and dynamic access control for smart contracts in a policy-based manner","authors":"Kristof Jannes, Vincent Reniers, Wouter Lenaerts, B. Lagaisse, W. Joosen","doi":"10.1145/3555776.3577676","DOIUrl":"https://doi.org/10.1145/3555776.3577676","url":null,"abstract":"Distributed Ledger Technology (DLTs) or blockchains have been steadily emerging and providing innovation in the past decade for several use cases, ranging from financial networks, to notarization, or trustworthy execution via smart contracts. DLTs are enticing due to their properties of decentralization, non-repudiation, and auditability (transparency). These properties are of high potential to access control systems that can be implemented on-chain, and are executed without infringement and full transparency. While it remains uncertain which use cases will truly turn out to be viable, many use cases such as financial transactions can benefit from integrating certain restrictions via access control on the blockchain. In addition, smart contracts may in the future present security risks that are currently yet unknown. As a solution, access control policies can provide flexibility in the execution flow when adopted by smart contracts. In this paper, we present our DEDACS architecture which provides decentralized and dynamic access control for smart contracts in a policy-based manner. Our access control is expressive as it features policies, and dynamic as the environment or users can be changed, or alternative policies can be assigned to smart contracts. DEDACS ensures that our access control preserves the desired properties of decentralization and transparency, while aiming to keep the costs involved as minimal as possible. We have evaluated DEDACS in the context of a Uniswap token-exchange platform, in which we evaluated the costs related to (i) the introduced overhead at deployment time and (ii) the operational overhead cost. DEDACS introduces a relative overhead of on average 52% at deployment time, and an operational overhead between 52% and 80% depending on the chosen policy and its complexity.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75192893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Generic Privacy Preserving Private Permissioned Blockchains 通用隐私保护私有许可区块链

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577735

Frederic A. Hayek, Mirko Koscina, P. Lafourcade, Charles Olivier-Anclin

引用次数: 1

Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML 公平干预的现实表现——为公平ML引入一个新的基准数据集

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577634

Daphne Lenders, T. Calders

{"title":"Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML","authors":"Daphne Lenders, T. Calders","doi":"10.1145/3555776.3577634","DOIUrl":"https://doi.org/10.1145/3555776.3577634","url":null,"abstract":"Some researchers evaluate their fair Machine Learning (ML) algorithms by simulating data with a fair and biased version of its labels. The fair labels reflect what labels individuals deserve, while the biased labels reflect labels obtained through a biased decision process. Given such data, fair algorithms are evaluated by measuring how well they can predict the fair labels, after being trained on the biased ones. The big problem with these approaches is, that they are based on simulated data, which is unlikely to capture the full complexity and noise of real-life decision problems. In this paper, we show how we created a new, more realistic dataset with both fair and biased labels. For this purpose, we started with an existing dataset containing information about high school students and whether they passed an exam or not. Through a human experiment, where participants estimated the school performance given some description of these students, we collect a biased version of these labels. We show how this new dataset can be used to evaluate fair ML algorithms, and how some fairness interventions, that perform well in the traditional evaluation schemes, do not necessarily perform well with respect to the unbiased labels in our dataset, leading to new insights into the performance of debiasing techniques.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80350170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Synthetic Dataset Generation for the Uveitis Pathology Based on MedWGAN Model 基于MedWGAN模型的葡萄膜炎病理合成数据集生成

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577648

Heithem Sliman, I. Megdiche, Sami Yangui, Aida Drira, Ines Drira, E. Lamine

{"title":"A Synthetic Dataset Generation for the Uveitis Pathology Based on MedWGAN Model","authors":"Heithem Sliman, I. Megdiche, Sami Yangui, Aida Drira, Ines Drira, E. Lamine","doi":"10.1145/3555776.3577648","DOIUrl":"https://doi.org/10.1145/3555776.3577648","url":null,"abstract":"Artificial Intelligence (AI) has undergone considerable development in recent years in the field of medicine and in particular in decision support diagnostic. However, the development of such algorithms depends on the presence of a sufficiently large amount of data to provide reliable results. Unfortunately in medicine, it is not always possible to provide so much data on all pathologies. This problem is particularly true for rare diseases. In this paper we focus on uveitis, a rare disease in ophthalmology which is the third cause of blindness worldwide. This pathology is difficult to diagnose because of the disparity in prevalence of its etiologies. In order to provide physicians with a diagnostic aid system, it would be necessary to have a representative dataset of epidemiological profiles that have been studied for a long time in this domain. This work proposes a breakthrough in this field by suggesting a methodological framework for the generation of an open source dataset based on the crossing of several epidemiological profiles and using data augmentation techniques. The results of these generated synthetic data have been qualitatively validated by specialist physicians in ophthalmology. Our results are very promising and consist in a first brick to promote research in AI on Uveitis disease.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90651227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unsupervised Forecasting and Anomaly Detection of ADLs in single-resident elderly smart homes 单居老年人智能家居中ADLs的无监督预测与异常检测

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577822

Zahraa Khais Shahid, S. Saguna, C. Åhlund

{"title":"Unsupervised Forecasting and Anomaly Detection of ADLs in single-resident elderly smart homes","authors":"Zahraa Khais Shahid, S. Saguna, C. Åhlund","doi":"10.1145/3555776.3577822","DOIUrl":"https://doi.org/10.1145/3555776.3577822","url":null,"abstract":"As the aging population increases, predictive health applications for the elderly can provide opportunities for more independent living, increase cost efficiency and improve the quality of health services for senior citizens. Human activity recognition within IoT-based smart homes can enable detection of early health risks related to mild cognitive impairment by providing proactive measurements and interventions to both the elderly and supporting healthcare givers. In this paper, we develop and evaluate a method to forecast activities of daily living (ADL) and detect anomalous behaviour using motion sensor data from smart homes. We build a predictive Multivariate long short term memory (LSTM) model for forecasting activities and evaluate it using data from six real-world smart homes. Further, we use Mahalanobis distance to identify anomalies in user behaviors based on predictions and actual values. In all of the datasets used for forecasting both duration of stay and level of activities using duration of activeness/stillness features, the max NMAE error was about 6%, the values show that the performance of LSTM for predicting the direct next activity versus the seven coming activities are close.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81874960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

POI types characterization based on geographic feature embeddings 基于地理特征嵌入的POI类型表征

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577659

Salatiel Dantas Silva, C. E. Campelo, Maxwell Guimarães De Oliveira

引用次数: 0

Parallel construction of RNA databases for extensive lncRNA-RNA interaction prediction 并行构建RNA数据库，广泛预测lncRNA-RNA相互作用

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577772

Iñaki Amatria-Barral, J. González-Domínguez, J. Touriño

引用次数: 0

Security Verification Software Platform of Data-efficient Image Transformer Based on Fast Gradient Sign Method 基于快速梯度符号法的数据高效图像转换器安全验证软件平台

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577731

In-pyo Hong, Gyu-ho Choi, Pan-koo Kim, Chang Choi

引用次数: 1

Software Aging in a Real-Time Object Detection System on an Edge Server 边缘服务器实时目标检测系统中的软件老化问题

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577717

Kengo Watanabe, F. Machida, E. Andrade, R. Pietrantuono, Domenico Cotroneo

{"title":"Software Aging in a Real-Time Object Detection System on an Edge Server","authors":"Kengo Watanabe, F. Machida, E. Andrade, R. Pietrantuono, Domenico Cotroneo","doi":"10.1145/3555776.3577717","DOIUrl":"https://doi.org/10.1145/3555776.3577717","url":null,"abstract":"Real-time object detection systems are rapidly adopted in many edge computing systems for IoT applications. Since the computational resources on edge devices are often limited, continuous real-time object detection may suffer from the degradation of performance and reliability due to software aging. To provide a reliable IoT applications, it is crucial to understand how software aging can manifest in object detection systems under resource-constrained environment. In this paper, we investigate the software aging issue in a real-time object detection system using YOLOv5 running on a Raspberry Pi-based edge server. By performing statistical analysis on the measurement data, we detected a suspicious trend of software aging in the memory usage, which is induced by real-time object detection workloads. We also observe that a system monitoring process is halted due to the shortage of free storage space as a result of YOLOv5's resource dissipation. The monitoring process fails after 24.11, 44.56, and 115.36 hours (on average), when we set the sizes of input images to 160px, 320px, and 640px, respectively, in our system. Our experimental results can be used to plan countermeasures such as software rejuvenation and task offloading.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89101926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2