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28th Asia-Pacific Software Engineering Conference (APSEC)

作者： Dakkak, Anas Zhang, Hongyi Mattos, David Issa Bosch, Jan Olsson, Helena Holmstrom Ericsson AB Stockholm Sweden Chalmers Univ Technol Gothenburg Sweden Malmo Univ Malmo Sweden

ISBN: (纸本)9781665437844

data collected from in-service products play an important role in enabling software-intensive embedded systems suppliers to embrace data-driven practices. data can be used in many different ways such as to continuously learn and improve the product, enhance post-deployment services, reduce operational cost or create a better user experience. While there is no shortage of possible use cases leveraging data from in-service products, software-intensive embedded systems companies struggle to continuously collect data from their in-service products. Often, data collection is done in an ad-hoc way and targeting specific use cases or needs. Besides, few studies have investigated data collection challenges in relation to the data dimensions, which are the minimum set of quantifiable data aspects that can define software-intensive embedded product data from a collection point of view. To help address data collection challenges, and to provide companies with guidance on how to improve this process, we conducted a case study at a large multinational telecommunications supplier focusing on data characteristics and collection challenges from the Radio Access Networks (RAN) products. We further investigated the relations of these challenges to the data dimensions to increase our understanding of how data dominions contribute to the challenges.

关键词： continuous data collection Software-intensive embedded system in-service products

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Coding-based Storage Design for continuous data collection in Wireless Sensor Networks

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JOURNAL OF COMMUNICATIONS AND NETWORKS 2016年第3期18卷 493-501页

作者： Zhan, Cheng Xiao, Fuyuan Southwest Univ Sch Comp & Informat Sci Chongqing Peoples R China

In-network storage is an effective technique for avoiding network congestion and reducing power consumption in continuous data collection in wireless sensor networks. In recent years, network coding based storage design has been proposed as a means to achieving ubiquitous access that permits any query to be satisfied by a few random (nearby) storage nodes. To maintain data consistency in continuous data collection applications, the readings of a sensor over time must be sent to the same set of storage nodes. In this paper, we present an efficient approach to updating data at storage nodes to maintain data consistency at the storage nodes without decoding out the old data and re-encoding with new data. We studied a transmission strategy that identifies a set of storage nodes for each source sensor that minimizes the transmission cost and achieves ubiquitous access by transmitting sparsely using the sparse matrix theory. We demonstrate that the problem of minimizing the cost of transmission with coding is NP-hard. We present an approximation algorithm based on regarding every storage node with memory size B as B tiny nodes that can store only one packet. We analyzed the approximation ratio of the proposed approximation solution, and compared the performance of the proposed coding approach with other coding schemes presented in the literature. The simulation results confirm that significant performance improvement can be achieved with the proposed transmission strategy.

关键词： continuous data collection network coding sensor network storage

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Distributed Separate Coding for continuous data collection in Wireless Sensor Networks

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ACM TRANSACTIONS ON SENSOR NETWORKS 2014年第1期11卷 1-26页

作者： Ye, Xiucai Li, Jie Xu, Li Univ Tsukuba Grad Sch Syst & Informat Engn Dept Comp Sci Tsukuba Ibaraki 3058573 Japan Univ Tsukuba Fac Engn Informat & Syst Grad Sch Syst & Informat Engn Dept Comp SciDiv Informat Engn Tsukuba Ibaraki 3058573 Japan Fujian Normal Univ Key Lab Network Secur & Cryptol Fuzhou 3050007 Peoples R China

In this article, we present a novel distributed separate coding (DSC) scheme for continuous data collection in wireless sensor networks with a mobile base station (mBS). By separately encoding a certain number of data segments in a combined segment and doing decoding-free data replacement in the buffers of each sensor node, the DSC scheme is shown as an efficient method for continuously collecting data segments with a high success ratio. The proposed DSC scheme has a salient feature: with a minimum buffer size 2 in each sensor node, by querying any m-1 sensor nodes, the mBS can reconstruct the m latest data segments with high probability, where m is the number of latest data segments in a time interval t in which n(t) (m <= n(t)) data segments are generated. The necessary storage space in each sensor node can be adjusted by changing the number of sensor nodes queried by the mBS. Furthermore, the transmission cost for data submission to the mBS can be reduced with some additional storage space in each sensor node. The comprehensive performance evaluation has been conducted through computer simulation. It is shown that the proposed DSC scheme outperforms the existing scheme significantly.

关键词： Design Performance Wireless sensor networks distributed separate coding mobile base station continuous data collection success ratio of data collection

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Advancing architectural frameworks for vibration signature classification in rotating machinery

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2025年第5期239卷 711-725页

作者： Yorston, Cole Chen, Cheng Camelio, Jaime Univ Georgia Coll Engn 2040J Interdisciplinary STEM Res ComplexBldg 1 30 Athens GA 30602 USA Univ Alabama Huntsville Dept Ind & Syst Engn & Engn Management Huntsville AL USA

Advancements in data-driven predictive maintenance have significantly improved digital twin applications for rotating machinery, offering robust solutions for smart manufacturing challenges. These improvements are crucial since equipment failures can cause extensive and costly disruptions to both maintenance schedules and operations. As precision and reliability are critical in production processes, undetected fluctuations in operating frequencies can swiftly escalate to complete part failure, leading to prolonged repairs and productivity loss. This study explores an integrated dataflow pipeline, specifically through Siemens' MindSphere, to enable continuous predictive maintenance and enhance data acquisition and management. Particularly, conditions such as normal operation, mass balance, rotating imbalance, and mechanical looseness are classified using support vector machine (SVM), neural network (NN), and K-Nearest Neighbor (KNN) methods for the purpose of comparing results. Our results highlight the efficacy of ensemble techniques in collecting and diagnosing vibration signatures, thereby enabling proactive maintenance. To classify various failure signatures, we have proposed a framework to interpret time-series and frequency-dependent data for determining failure types. This research exemplifies how merging data-driven methods with digital twin can improve the accuracy and reliability of condition monitoring. Additionally, we introduce a cloud-based architecture for the diagnosis of rotating machinery, utilizing Application Programming Interface (API) configurations, and develop a real-time dashboard for streaming and visualizing classified data, fostering immediate and informed decision-making.

关键词： Predictive maintenance vibrations signatures internet of things rotor unbalance rotating machinery continuous data collection

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continuous data collection Capacity of Dual-Radio Multichannel Wireless Sensor Networks

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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2012年第10期23卷 1844-1855页

作者： Ji, Shouling Cai, Zhipeng Li, Yingshu Jia, Xiaohua Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA Harbin Inst Technol Sch Comp Sci & Technol Harbin 150001 Heilongjiang Peoples R China City Univ Hong Kong Dept Comp Sci Kowloon Hong Kong Peoples R China

The performance of data collection in Wireless Sensor Networks (WSNs) can be measured by network capacity. However, few existing works dedicatedly consider the continuous data collection (CDC) capacity for WSNs under the protocol interference model. In this paper, we propose a multipath scheduling algorithm for SDC in single-radio multichannel WSNs and derive its network capacity which is a tighter lower bound compared with the previously best result [10]. We also propose a novel CDC method for dual-radio multichannel WSNs. It significantly speeds up the data collection process, and achieves a capacity of nW/12Minverted right perpendicular(3.63 rho(2)+c(3)rho+c(4))/Hinverted left perpendicular when Delta(e) <= 12 or nW/M Delta(e) inverted right perpendicular(3.63 rho(2)+c(3)rho+c(4))/Hinverted left perpendicular when Delta(e) > 12, where n is the number of the sensors, M is a constant value and usually M << n, Delta(e) is the maximum number of the leaf nodes having a same parent in the data collection tree, W is the channel bandwidth, H is the number of available orthogonal channels, rho is the ratio of the interference radius over the transmission radius, c(3) = 8 pi/root 3 + pi + 2, and c(4) = 8 pi/root 3 + 2 pi + 6. Extensive simulation results indicate that the proposed algorithms improve network capacity significantly compared with existing works.

关键词： Wireless sensor networks snapshot data collection continuous data collection capacity analysis

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Cell-Based Snapshot and continuous data collection in Wireless Sensor Networks

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ACM TRANSACTIONS ON SENSOR NETWORKS 2013年第4期9卷 47-47页

作者： Ji, Shouling He, Jing (Selena) Uluagac, A. Selcuk Beyah, Raheem Li, Yingshu Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Kennesaw State Univ Dept Comp Sci Kennesaw GA 30144 USA Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA Harbin Inst Technol Sch Comp Sci & Technol Harbin 150001 Heilongjiang Peoples R China

data collection is a common operation of wireless sensor networks (WSNs). The performance of data collection can be measured by its achievable network capacity. However, most existing works focus on the network capacity of unicast, multicast or/and broadcast. In this article, we study the snapshot/continuous data collection (SDC/CDC) problem under the physical interference model for randomly deployed dense WSNs. For SDC, we propose a Cell-Based Path Scheduling (CBPS) algorithm based on network partitioning. Theoretical analysis shows that its achievable network capacity is order-optimal. For CDC, a novel Segment-Based Pipeline Scheduling (SBPS) algorithm is proposed which combines the pipeline technique and the compressive data gathering technique. Theoretical analysis shows that SBPS significantly speeds up the CDC process and achieves a high network capacity.

关键词： Design Algorithms Performance Wireless sensor networks snapshot data collection continuous data collection

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continuous versus Intermittent data collection of Health Care Utilization

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MEDICAL DECISION MAKING 2013年第8期33卷 998-1008页

作者： Hendriks, Marike R. C. Al, Maiwenn J. Bleijlevens, Michel H. C. van Haastregt, Jolanda C. M. Crebolder, Harry F. J. M. van Eijk, Jacques Th. M. Evers, Silvia M. A. A. Maastricht Univ Dept Human Movement Sci NUTRIM Sch Nutr Toxicol & Metab NL-6200 MD Maastricht Netherlands Erasmus Univ Inst Med Technol Assessment Rotterdam Netherlands Maastricht Univ Dept Hlth Serv Res Sch CAPHRI NL-6200 MD Maastricht Netherlands Maastricht Univ Dept Gen Practice Sch CAPHRI NL-6200 MD Maastricht Netherlands Maastricht Univ Dept Social Med Sch CAPHRI NL-6200 MD Maastricht Netherlands

Background: In economic evaluations, participants have to report their health care utilization continuously during follow-up. To unburden participants, researchers often collect data intermittently (i.e., in at least 3 months a year). However, comparability of intermittent v. continuous data collection is unknown. Therefore, this study aimed to compare costs estimated with intermittent data collection of health care utilization with those based on continuous data collection. Methods: We used continuous health care utilization data from a trial with 12 months of follow-up and simulated several intermittent data collection patterns. Then 3 imputation techniquesindividual mean (IM), last observation carried forward (LOCF) and next observation carried backward (NOCB)were used to estimate total annual costs. Estimated annual costs were compared with observed annual costs from continuous data collection both in the original sample and in 1000 bootstrap samples. Results: Analyses showed that intermittent data collection using cost diaries may offer good estimates of the actual total annual health expenditures. However, estimations of groups of costs differ between data collection patterns and imputation methods. The best estimations of annual total costs and groups of costs were obtained by random cohort data collection, using 3 random cohorts, ensuring that at least a third of the participants were measuring costs each month, combined with IM imputation. Intermittent data collection of health expenditures carries a small risk of missing infrequent expensive events. Conclusions: continuous cost data collection remains the first choice. However, if intermittent measurement is chosen, we recommend calculating annual costs from intermittent data collection in random cohorts, combined with IM imputation.

关键词： cost diary health care utilization continuous data collection cost measurement imputation

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Distributed and Asynchronous data collection in Cognitive Radio Networks with Fairness Consideration

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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2014年第8期25卷 2020-2029页

作者： Cai, Zhipeng Ji, Shouling He, Jing (Selena) Wei, Lin Bourgeois, Anu G. Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Kennesaw State Univ Dept Comp Sci Kennesaw GA 30144 USA S Dakota State Univ Dept Agr & Biosyst Brookings SD USA

As a promising communication paradigm, Cognitive Radio Networks (CRNs) have paved a road for Secondary Users (SUs) to opportunistically exploit unused licensed spectrum without causing unacceptable interference to Primary Users (PUs). In this paper, we study the distributed data collection problem for asynchronous CRNs, which has not been addressed before. We study the Proper Carrier-sensing Range (PCR) for SUs. By working with this PCR, an SU can successfully conduct data transmission without disturbing the activities of PUs and other SUs. Subsequently, based on the PCR, we propose an Asynchronous Distributed data collection (ADDC) algorithm with fairness consideration for CRNs. ADDC collects a snapshot of data to the base station in a distributed manner without the time synchronization requirement. The algorithm is scalable and more practical compared with centralized and synchronized algorithms. Through comprehensive theoretical analysis, we show that ADDC is order-optimal in terms of delay and capacity, as long as an SU has a positive probability to access the spectrum. Furthermore, we extend ADDC to deal with the continuous data collection issue, and analyze the delay and capacity performances of ADDC for continuous data collection, which are also proven to be order-optimal. Finally, extensive simulation results indicate that ADDC can effectively accomplish a data collection task and significantly reduce data collection delay.

关键词： Cognitive radio networks data collection snapshot data collection continuous data collection distributed algorithm asynchronous wireless network delay capacity

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A Comparative Effectiveness Evaluation of Map Construction Protocols in Wireless Sensor Networks

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IEEE SYSTEMS JOURNAL 2014年第3期8卷 708-716页

作者： Khelil, Abdelmajid Tech Univ Darmstadt D-64289 Darmstadt Germany

Multiple applications in wireless sensor networks (WSN) require node-level accuracy. One popular example of these applications is the map-based visualization of live spatial sensor data. The specific WSN properties such as energy imply that the data collection and/or the in-network map construction should carefully address the tradeoff between energy/network overhead and map accuracy. Accordingly, several map construction approaches have been proposed. The energy efficiency of reducing the network traffic overhead has been proved in the corresponding papers for a set of carefully selected parameters. To date, there exists no quantitative comparative study that considers a wide range of physical phenomena and network properties to provide a comprehensive evaluation of these map construction approaches. In this paper, we present a series of protocol efficiency evaluation criteria that are then used to evaluate the comparative effectiveness of the existing map construction approaches by analyzing their design and simulating their performance in a wide range of environment scenarios and network settings. Using extensive simulations, we identify which map construction approach outperforms the other for most common application scenarios. Our main achievements are detailed insights of the existing approaches and proposals for improving existing approaches.

关键词： continuous data collection maps performance evaluation wireless sensor networks

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Interaction of behavioral state and microswitch use in individuals with profound multiple impairments

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JOURNAL OF DEVELOPMENTAL AND PHYSICAL DISABILITIES 2005年第1期17卷 35-53页

作者： Mellstrom, BP Saunders, MD Saunders, RR Olswang, LB Univ Washington Seattle WA 98195 USA Univ Kansas Lawrence KS 66045 USA

Potential relations between behavior state and switch use in 3 adults with profound multiple impairments were investigated. Observations were conducted during a regularly scheduled leisure activity. Each participant was provided with an adaptive switch that was connected to a preferred battery-operated leisure device. Closures of the adaptive switch produced activation of the device. Behavior states were measured using an abbreviated version of a state scale developed by Guess et al. [Guess, D., Roberts, S., Siegel-Causey, E., Ault, M. M., Guy, B., Thompson, B., and Rues, J (1993). American Journal on Mental Retardation 9T 634-653]. Adaptive switch use was measured using an automated event recorder that recorded the time of each switch closure and release. Frequency and duration of switch closures were tallied using a computer software program, and then data on switch closures and ratings of behavior state were aligned in 1-min intervals. Results showed that although each of the 3 participants exhibited a predominant behavior state, changes in state within observation periods were common. Differences in rates and duration of switch closures were observed across behavior states, although interaction of state and adaptive switch use was idiosyncratic for each of the 3 participants.

关键词： adaptive switch behavior state continuous data collection profound multiple impairment mental retardation

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