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2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)最新文献

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Wireless Body Area Network Based on RFID System for Healthcare Monitoring: Progress and Architectures 基于RFID的无线体域网络医疗监控系统:进展与架构
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00073
I. Bouhassoune, Rachid Saadane, A. Chehri
{"title":"Wireless Body Area Network Based on RFID System for Healthcare Monitoring: Progress and Architectures","authors":"I. Bouhassoune, Rachid Saadane, A. Chehri","doi":"10.1109/SITIS.2019.00073","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00073","url":null,"abstract":"Radio Frequency Identification (RFID) technology and Wireless body area network (WBAN) represent the two most strike evolutions for information and communication technology that have attracted attention of researchers and engineers in recent years because they involves several scientific fields. Due to numerous works exploiting the physical integration of RFID devices and WBAN in the healthcare applications, selecting the requirements needed to achieve efficient integrating system is being a challenging task. In this paper we discuss the stat of the art of the matching between RFID technology and WBAN system for healthcare monitoring area and we describes different recent architectures used for this integrating technologies, also a discussion of technical challenges of integrating WBAN and RFID is presented. Finally we propose our suggested RFID body sensor tag design placed directly on human skin for WBAN.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115253517","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: 13
A Microservice-Based Building Block Approach for Scientific Workflow Engines: Processing Large Data Volumes with DagOnStar 基于微服务的科学工作流引擎构建块方法:用DagOnStar处理大数据量
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00066
Dante D. Sánchez-Gallegos, D. Di Luccio, J. L. González-Compeán, R. Montella
{"title":"A Microservice-Based Building Block Approach for Scientific Workflow Engines: Processing Large Data Volumes with DagOnStar","authors":"Dante D. Sánchez-Gallegos, D. Di Luccio, J. L. González-Compeán, R. Montella","doi":"10.1109/SITIS.2019.00066","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00066","url":null,"abstract":"The impact of machine learning algorithms on everyday life is overwhelming until the novel concept of datacracy as a new social paradigm. In the field of computational environmental science and, in particular, of applications of large data science proof of concept on the natural resources management this kind of approaches could make the difference between species surviving to potential extinction and compromised ecological niches. In this scenario, the use of high throughput workflow engines, enabling the management of complex data flows in production is rock solid, as demonstrated by the rise of recent tools as Parsl and DagOnStar. Nevertheless, the availability of dedicated computational resources, although mitigated by the use of cloud computing technologies, could be a remarkable limitation. In this paper, we present a novel and improved version of DagOnStar, enabling the execution of lightweight but recurring computational tasks on the microservice architecture. We present our preliminary results motivating our choices supported by some evaluations and a real-world use case.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115318984","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: 8
An Investigation of Denoising Parameters Choice in two Perona-Malik Models 两种Perona-Malik模型去噪参数选择的研究
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00022
A. Nasonov, N. Mamaev, A. Krylov
{"title":"An Investigation of Denoising Parameters Choice in two Perona-Malik Models","authors":"A. Nasonov, N. Mamaev, A. Krylov","doi":"10.1109/SITIS.2019.00022","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00022","url":null,"abstract":"The paper addresses the problem of no-reference parameter choice for image denoising by Perona-Malik image diffusion algorithm using two models. The idea of the approach is to analyze the difference image between noisy input image and the outcome of the denoising algorithm for the presence of structured data from the input image. The analysis consists of the calculation of the mutual information — a value that shows the ratio between the structured data and the noise. We apply the proposed method to photographic images, vector graphics images and to retinal images with modeled Gaussian noise with different parameters.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121165936","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
DCNN-Based Screw Detection for Automated Disassembly Processes 基于dcnn的自动拆卸过程螺钉检测
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00040
Erenus Yildiz, F. Wörgötter
{"title":"DCNN-Based Screw Detection for Automated Disassembly Processes","authors":"Erenus Yildiz, F. Wörgötter","doi":"10.1109/SITIS.2019.00040","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00040","url":null,"abstract":"Automation of disassembly processes in electronic waste recycling is progressing but hindered by the lack of automated procedures for screw detection and removal. Here we specifically address the detection problem and implement a universal, generalizable, and extendable screw detector which can be deployed in automated disassembly lines. We selected the best performing state-of-the-art classifiers and compared their performance to that of our architecture, which combines a Hough transform with a novel integrated model of two deep convolutional neural networks for screw detection. We show that our method outperforms currently existing methods, while maintaining the high speed of computation. Data set and code of this study are made public.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116551632","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: 17
Underwater Fish Classification of Trout and Grayling 鳟鱼和灰鲑的水下鱼类分类
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00052
Thitinun Pengying, Marius Pedersen, J. Hardeberg, J. Museth
{"title":"Underwater Fish Classification of Trout and Grayling","authors":"Thitinun Pengying, Marius Pedersen, J. Hardeberg, J. Museth","doi":"10.1109/SITIS.2019.00052","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00052","url":null,"abstract":"Classification of fish is important to assist biologists in environmental monitoring, understanding fish behavior and more. Live fish classification is a challenging problems due to free movements, the light condition and image quality. Recently, deep neural network has shown great performance in image classification and object recognition problems, therefore, transfer learning based on Alexnet is applied on brown trout (Salmo trutta) and European grayling (Thymallus thymallus) images extracted from videos for classification without prior pre-processing. Very high accuracy above 99% and almost perfect F1-score are obtained and this network also can classify the incomplete fish images well with 98% accuracy.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125166406","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: 5
A Semantic Collaborative Clustering Approach Based on Confusion Matrix 基于混淆矩阵的语义协同聚类方法
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00112
D. Zomahoun
{"title":"A Semantic Collaborative Clustering Approach Based on Confusion Matrix","authors":"D. Zomahoun","doi":"10.1109/SITIS.2019.00112","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00112","url":null,"abstract":"In this paper we discuss about a new images retrieval technique based on clustering. We argue that images don’t have an intrinsic meaning, but they can receive different interpretation. These images can complicate documents retrieval. However, users need a quick and direct access to documents. To answer this requirement, we propose a retrieval approach which use a collaborative clustering technique based on Confusion matrix.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114261751","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: 4
A Holistic View of the Server Consolidation and Virtual Machines Placement Problems 服务器整合和虚拟机放置问题的整体观点
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00060
Abdulrahman Nahhas, Sascha Bosse, D. Staegemann, M. Volk, K. Turowski
{"title":"A Holistic View of the Server Consolidation and Virtual Machines Placement Problems","authors":"Abdulrahman Nahhas, Sascha Bosse, D. Staegemann, M. Volk, K. Turowski","doi":"10.1109/SITIS.2019.00060","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00060","url":null,"abstract":"Alongside the fourth industrial revolution and many other emerging technologies and markets, IT sectors are obligated to achieve a much higher level of efficiency in managing IT infrastructure through automation. Recent studies reported various statistical analysis that suggests tremendous growth in the energy consumption of data center operation. Accordingly, the CO2 emission footprint of data centers has reported a troubling increase in the past ten years, which is estimated to be the fastest growing CO2 footprint among different IT sectors. Therefore, in this research, we will present a holistic view of current technologies and solution strategies targeting sustainable virtual machines placement in virtualized data centers. Based on the presented literature analysis, we studied the advent and impact of virtualization strategies, the live migration algorithms, cloud computing model, and machine learning approaches on the management of data center for reducing energy consumption. Our findings suggest a steady increase in the complexity of the problem formulation with the advent of new technologies and a similar increase of the possible achievable optimization potential.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"724 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132800823","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
Dehazing with Recovery Level Map: Suppressing Over-Enhancement and Residual Haze 用恢复等级图去雾:抑制过度增强和残余雾霾
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00023
Kentaro Iwamoto, Hiromi Yoshida, Y. Iiguni
{"title":"Dehazing with Recovery Level Map: Suppressing Over-Enhancement and Residual Haze","authors":"Kentaro Iwamoto, Hiromi Yoshida, Y. Iiguni","doi":"10.1109/SITIS.2019.00023","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00023","url":null,"abstract":"Haze degrades contrast and visibility of images, thus it causes bad visibility or poor accuracy in computer vision applications. There are many dehazing methods: prior-based and data-driven methods. Prior-based methods tend to cause over-enhancement such as visual artifacts in the white regions. Data-driven methods cannot sometimes remove haze in the foreground completely. In this paper, we propose a method to suppress both over-enhancement and residual haze based on the dark channel prior (DCP). We use the clarity map as a texture feature and define the recovery level map that determines the amount of dehazing level. We use both the DCP and the recovery level map to estimate the scene transmission. As a result, our method suppresses both over-enhancement and residual haze compared with state-of-the-art dehazing methods.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134148015","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
Bagging to Improve the Calibration of RSSI Signals in Bluetooth Low Energy (BLE) Indoor Distance Estimation 在低功耗蓝牙(BLE)室内距离估计中，套袋改进RSSI信号的校准
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00107
A. Maratea, Giuseppe Salvi, S. Gaglione
{"title":"Bagging to Improve the Calibration of RSSI Signals in Bluetooth Low Energy (BLE) Indoor Distance Estimation","authors":"A. Maratea, Giuseppe Salvi, S. Gaglione","doi":"10.1109/SITIS.2019.00107","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00107","url":null,"abstract":"Originally conceived as proximity sensors, smart Bluetooth (Bluetooth Low Energy or BLE) beacons have been quickly adopted as inexpensive means to estimate distance of the transmitter from the receiver. Unfortunately the Received Signal Strength in unstable and produces such oscillations that right beyond a couple of meters the accurate estimation of distances becomes extremely challenging. In this paper, starting from a preprocessed RSSI vector of measurements, a Bootstrap Aggregating procedure is proposed to improve the calibration of RSSI signals. The proposed method, in combination with robust and non parametric statistics, reaches a sub-meter precision up to 6 meters of distance.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133023180","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
Kinematics Solution using Metaheuristic Algorithms 使用元启发式算法的运动学解
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI: 10.1109/SITIS.2019.00086
Ashwani Kumar, V. Banga, Darshan Kumar, T. Yingthawornsuk
{"title":"Kinematics Solution using Metaheuristic Algorithms","authors":"Ashwani Kumar, V. Banga, Darshan Kumar, T. Yingthawornsuk","doi":"10.1109/SITIS.2019.00086","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00086","url":null,"abstract":"In this paper, Artificial bee colony (ABC) and Grey wolf optimization (GWO) techniques have been proposed to find kinematics solution. Inverse kinematics is an important parameter for the movement of joints from one location to end-effectors' position. During the movement to reach to the destination various errors will incur. Different evolutionary and metaheuristics have been proposed to solve the inverse kinematics solution with minimum errors. ABC and GWO are two novel metaheuristic techniques that are based on population. These algorithms are used to minimize the errors present in the inverse kinematics solution. Errors to be calculated are position error and absolute error. GWO takes less time than ABC algorithm during the iteration. ABC and GWO are naturally inspired swarm techniques.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130387857","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: 6
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