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2018 International Conference on System Science and Engineering (ICSSE)最新文献

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Scaling Up Matrix Factorization with Cloud Computing for Collaborative Recommendation 基于云计算的矩阵分解扩展协同推荐
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520095
Shi-Hao Wang, Jhih-Yuan Huang, Wei-Po Lee, King-Teh Lee
Collaborative filtering (CF) is one of the most popular and efficient recommendation methods, and matrix factorization is considered a useful technique to implement CF-based systems. To scale up the matrix factorization method for large datasets, many parallel computing techniques have been proposed. In this study, we present a new approach with different data distribution schemes to fully exploit the computing power and the memory capacity of the cloud computing platform. In addition, we perform several sets of experiments to evaluate the developed approach in a cloud computing environment, and the results show its feasibility and effectiveness.
协同过滤(CF)是目前最流行、最有效的推荐方法之一,而矩阵分解被认为是实现基于协同过滤的系统的一种有用技术。为了扩大矩阵分解方法在大数据集上的应用,人们提出了许多并行计算技术。在这项研究中,我们提出了一种新的方法,通过不同的数据分布方案来充分利用云计算平台的计算能力和内存容量。此外,我们还在云计算环境中进行了几组实验来评估所开发的方法,结果表明了其可行性和有效性。
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引用次数: 1
Generic IoT Framework for Environmental Sensing Researches: Portable IoT Enabled Weather Station 用于环境传感研究的通用物联网框架:便携式物联网气象站
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520238
Kolitha Warnakulasooriya, Y. Jayasuriya, B. Sudantha
Environmental sensing and decision making process for different conditions and different scenarios are more important when the disaster management systems and related systems are concerned. This research provides a generic framework for different types of sensors for various environmental conditions gather sensitive data to a decision making platform in order to carry out further analysis., predictions and any kind of big data research related purposes. It comprises a main controller., GSM module., RTC and relevant other electronic modules providing various connection protocols for sensors having RS232., analog., one wire, I2C, SPI interfaces. Captured data will be transferred to remote server and data could be obtained in different formats according to the user requirements. Most of the sensors could be connected., facilitating for many types of environments and data will be available providing flexible framework for its environmental sensing applications and researches.
在灾害管理系统和相关系统中,不同条件和不同情景的环境感知和决策过程更为重要。本研究为不同类型的传感器在各种环境条件下收集敏感数据到决策平台进行进一步分析提供了一个通用框架。预测和任何与大数据相关的研究目的。它包括一个主控制器。、GSM模块。, RTC等相关电子模块,为具有RS232的传感器提供各种连接协议。,模拟。,一根线,I2C, SPI接口。捕获的数据将被传输到远程服务器,并可根据用户要求以不同格式获取数据。大多数传感器都可以连接。,为多种类型的环境和数据提供便利,为其环境传感应用和研究提供灵活的框架。
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引用次数: 7
Spectrum Hand-Off for RF Energy Harvesting in Cognitive Radio Based Machine to Machine Communication Networks 基于认知无线电的机器对机器通信网络中射频能量收集的频谱切换
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520109
Show-Shiow Tzeng, Ying-Jen Lin, Li-Shiang Wei
It is critical for a machine equipped with the battery of limited energy to transmit data with shorter delay in machine type communication networks because the machine in an energy-insufficient state does not send data immediately. Although a machine can equip the capability of radio frequency (RF) energy harvesting, there is a trade-off between RF energy-harvesting rate and the opportunity to send data in a radio band. Therefore, we propose a spectrum hand-off for energy harvesting in cognitive radio based machine type communication networks. Using the proposed spectrum hand-off, a machine can determine (i) the appropriate time that a machine harvests RF energy from which radio band and (ii) the time to send data or sleep such that more energy is gathered from two radio bands and then more data is sent in shorter waiting time. Simulation results show that the proposed spectrum hand-off can yield lower mean packet request delay in light and middle load and increase utilization of time slots (or throughput).
在机器型通信网络中,由于处于能量不足状态的机器不能立即发送数据,因此配备有限能量电池的机器以较短的延迟传输数据是至关重要的。虽然一台机器可以配备射频能量收集的能力,但在射频能量收集率和在无线电频带中发送数据的机会之间存在权衡。因此,我们提出了一种基于认知无线电的机器类型通信网络能量收集的频谱切换。使用提议的频谱切换,机器可以确定(i)机器从哪个无线电频段获取射频能量的适当时间,以及(ii)发送数据或休眠的时间,以便从两个无线电频段收集更多能量,然后在更短的等待时间内发送更多数据。仿真结果表明,所提出的频谱切换可以在轻、中负载下降低平均分组请求延迟,提高时隙利用率(或吞吐量)。
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引用次数: 1
A DNA Memory Translator for Multiple Languages 多语言DNA记忆翻译器
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520146
Yi-Man Huang, Shien‐Fong Lin
As the demand for data storage is growing exponentially, higher density and durable storage solutions are necessary. DNA has many potential advantages as a medium for information storage because it is extremely dense, high capacity, low-maintenance and durability. Previous research has focused on ASCII code files or pictures, which ignored expression with other languages encoded with Unicode. We provide a DNA translator for multiple languages and also discuss the influence of entropy in different dataset. The effect of Huffman code encoding and ternary code encoding for different dataset are also compared. Our results indicate that the DNA memory translator system is very efficient for the dataset with low entropy.
随着对数据存储的需求呈指数级增长,需要更高密度和耐用的存储解决方案。DNA作为一种信息存储媒介具有许多潜在的优势,因为它具有极高的密度、高容量、低维护和耐用性。以往的研究主要集中在ASCII码文件或图片上,忽略了用Unicode编码的其他语言的表达。我们提供了一个多语言的DNA翻译器,并讨论了熵在不同数据集中的影响。比较了霍夫曼码和三进制码对不同数据集的编码效果。结果表明,DNA记忆翻译系统对于低熵的数据集是非常有效的。
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引用次数: 0
A Mechanism for Adjustable-Delay-Buffer Selection to Dynamically Control Clock Skew 一种动态控制时钟偏差的可调延迟缓冲选择机制
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520198
Chia-Wen Chang, Shih-Hsu Huang
Clock skew minimization is a very important task for sequential timing optimization. As the technology node continues to shrink, the clock skew caused by the effects of process/voltage/temperature (PVT) variations may result in a serious problem. To deal with this problem, the previous work proposed a self-adjusting mechanism to dynamically control the clock skew. However, the previous work requires a lot of clock buffers for dynamic clock skew control. In this paper, we present a new mechanism for the selection of the channels of adjustable-delay-buffers (ADBs). Based on the proposed new mechanism, a lot of clock buffers in the ADBs can be saved. Experimental results consistently show that our approach works well in practice.
时钟倾斜最小化是时序优化的一个非常重要的任务。随着技术节点的不断缩小,由于工艺/电压/温度(PVT)变化的影响而引起的时钟偏差可能会导致严重的问题。为了解决这一问题,前人提出了一种自调节机制来动态控制时钟偏差。然而,以往的工作需要大量的时钟缓冲区来进行动态时钟偏差控制。本文提出了一种可调延迟缓冲器(ADBs)通道选择的新机制。基于该机制,可以节省大量的adb时钟缓冲区。实验结果一致表明,该方法在实际应用中效果良好。
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引用次数: 0
Security by Design as an Approach to Design a Secure Industry 4.0-Capable Machine Enabling Online-Trading of Technology Data 设计安全——设计工业4.0安全机器实现技术数据在线交易的方法
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520195
Ghaidaa Shaabany, R. Anderl
Industry 4.0 is characterized by intensive digitization of production and equipping the machines with a high use of ICT (information and communication technology. However, the fourth industrial revolution brings with it more security-related challenges. It is important to engineer, industrial solutions that design, build and run Industry 4.0-systems securely, reliably and effectively. Moreover, industrial systems are designed according to the new characteristics enabling connecting and interacting with other Industry 4.0-systems in a reliable manner. Furthermore, it is essential to consider the new innovative business models by designing these systems. The digital data and knowhow in companies are the most valuable assets and thus should be protected. This data are the new trade ware by many businesses and add new values to companies. In this paper, one of these models that are based on online-trading of technology data, is considered. Technology data are defined as machine's functioning parameters that are required to ensure a smooth operation of machines under different circumstances. The focus is to develop an Industry 4.0-capable machine with the new characteristics that an Industry 4.0-system have. The security concepts for protecting the technology data by designing and manufacturing the machine will be validated by means of a use case of participating in a technology data marketplace.
工业4.0的特点是生产的密集数字化,并高度使用ICT(信息和通信技术)装备机器。然而,第四次工业革命带来了更多与安全相关的挑战。安全、可靠、有效地设计、构建和运行工业4.0系统的工程解决方案非常重要。此外,工业系统根据能够以可靠的方式与其他工业4.0系统连接和交互的新特性进行设计。此外,在设计这些系统时,必须考虑新的创新商业模式。公司的数字数据和专有技术是最有价值的资产,因此应该受到保护。这些数据是许多企业的新贸易工具,为企业增加了新的价值。本文考虑了其中一种基于技术数据在线交易的模型。技术数据定义为保证机器在不同情况下顺利运行所需的机器功能参数。重点是开发具有工业4.0系统所具有的新特性的具有工业4.0能力的机器。通过设计和制造机器来保护技术数据的安全概念将通过参与技术数据市场的用例进行验证。
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引用次数: 5
Development of a Novel Heart Rate Synchronized Pulsatile Left Ventricular Assist Device 新型心率同步搏动左心室辅助装置的研制
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520116
Chun Liu, Jiaxin Fang, C. Yeh, Shien‐Fong Lin
The left ventricular assist device (LVADs) have been used as either a bridge to transplant or destination therapy for end stage heart failure. The continuous-flow models have been used with multiple complications. This project applied electromagnetically driven pump to the development of a heart-rate synchronized pulsatile LVAD. A control system was developed based on LabVIEW programming platform. The LabVIEW program receives pulse signals by DAQ device and then output the signal to control the coil of the pump by DAQ device. Under the action of the magnetic effect of electric current, thus the magnetic piston inside the pump is pushed back and forth. The program not only receives pulse signals but also synchronizes the pump and pulsation. The researchers used heart mock to test the flow situation of water. According to the current situation, the pump can affect the water flow. Currently, the experiment enters the stage that cooperates with Keelung Chang Gung Memorial Hospital. In addition, the circuit is miniaturized and the connector is used for experimental convenience in the hospital in the future.
左心室辅助装置(lvad)已被用作终末期心力衰竭移植或终点治疗的桥梁。连续流模型已用于多种并发症。本课题将电磁驱动泵应用于心率同步脉动式左心室辅助装置的研制。基于LabVIEW编程平台开发了控制系统。LabVIEW程序通过DAQ设备接收脉冲信号,然后输出信号到DAQ设备控制泵的线圈。在电流的磁效应作用下,使泵内的磁性活塞被前后推动。该程序不仅可以接收脉冲信号,还可以同步泵和脉动。研究人员使用心脏模拟来测试水的流动情况。根据目前的情况,泵可以影响水流。目前,实验进入与基隆长庚纪念医院合作的阶段。此外,电路的小型化和连接器用于未来医院的实验方便。
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引用次数: 0
Integration of Fuzzy Logic and QFD for Critical Chain in Project Scheduling with Uncertainties 不确定项目调度关键链的模糊逻辑和QFD集成
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520264
Shih-Ming Yang, Yu-Chuan Liu, Ting-Yu Yen
This work aims at integrating fuzzy logic and quality function deployment (QFD) technique to determine the critical chain in a project with uncertainties. The degree of fuzziness of every activity in a project is defined and calculated by QFD so as to (1) evaluate the effects of project uncertainties, (2) select adaptively the fuzzy logic model, and (3) calculate the buffer time of the critical chain. The example of a project with 11 activities facing 6 uncertainties: project time limit, activity begin time, budget, manpower, technical difficulty, and facility requirement is applied to demonstrate the effectiveness of the model integrating fuzzy logic and QFD. Analysis shows that project scheduling by this proposed integration is superior to that by Project Evaluation and Review Technique (PERT) and by the conventional critical chain method. Not only the scheduling is more efficient, but also the buffer time in critical chain can be systematically determined to accommodate the uncertainties.
本文旨在将模糊逻辑和质量功能部署(QFD)技术相结合,以确定具有不确定性的项目中的关键链。通过QFD对项目中各个活动的模糊程度进行定义和计算,从而(1)评价项目不确定性的影响,(2)自适应选择模糊逻辑模型,(3)计算关键链的缓冲时间。以一个项目为例,该项目有11个活动,面临6个不确定因素:项目时限、活动开始时间、预算、人力、技术难度和设备需求,验证了模糊逻辑和QFD相结合的模型的有效性。分析表明,采用该方法的项目调度优于采用项目评估与评审技术(PERT)和传统的关键链方法。不仅可以提高调度效率,而且可以系统地确定关键链的缓冲时间以适应不确定性。
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引用次数: 1
Workload Alleviation Scheduling Framework to Alleviate Negative Performance Impact of Intermediate Data Skew in Small-Scale MapReduce Cloud 缓解小规模MapReduce云中间数据倾斜对性能影响的工作量缓解调度框架
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520003
Tzu-Chi Huang, Kuo-Chih Chu, Jiahuei Lin, Guo-Hao Huang, C. Shieh
A MapReduce cloud becomes the essential platform in the cloud computing infrastructure today. Because applications may process input data with different algorithms and logics to produce intermediate data, a MapReduce cloud may suffer intermediate data skew by unevenly distributing intermediate data among nodes at run time. When intermediate data skew happens, a MapReduce cloud not only idles nodes to waste computation resources but also prolongs the application execution progress to hurt user experiences in cloud computing. Instead of the existing solutions that assume many available idle nodes and use computation resources in a loose way, a MapReduce cloud can use the Workload Alleviation Scheduling Framework (W ASF) proposed in this paper to alleviate the negative performance impact of intermediate data skew in a small-scale MapReduce cloud by smartly utilizing computation resources. Besides, a MapReduce cloud is verified with popular applications in experiments to have the outstanding performance improvement with W ASF when intermediate data skew happens.
MapReduce云成为当今云计算基础设施中必不可少的平台。由于应用程序可能使用不同的算法和逻辑处理输入数据以生成中间数据,因此MapReduce云可能会在运行时在节点之间不均匀地分布中间数据,从而导致中间数据倾斜。当中间数据发生倾斜时,MapReduce云不仅会使节点闲置,浪费计算资源,还会延长应用程序的执行进度,影响云计算的用户体验。MapReduce云可以利用本文提出的负载缓解调度框架(Workload mitigation Scheduling Framework, wasf),巧妙地利用计算资源,来缓解小规模MapReduce云中中间数据倾斜对性能的负面影响,而不是现有的解决方案假设许多可用的空闲节点,松散地使用计算资源。此外,在实验中,用流行的应用验证了MapReduce云在发生中间数据倾斜时使用W ASF具有显著的性能提升。
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引用次数: 2
Ratio Computation of Stroke Rat Brain Infarct Volume and Atrophy Volume Relative to the Normal Brain Volume 脑卒中大鼠脑梗死体积和脑萎缩体积相对于正常脑体积的比值计算
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520239
Y. Chan, Meng-Hsun Tsai, Ping-Hsuan Sun, Ya-Lan Chang, Chwei-Shyong Tsaig
This study focused on ischemic stroke by using rats with middle cerebral artery occlusion (MCAO) as experimental subjects, and examining the images of their brains obtained from staining with 2, 3, 5-triphenyl tetrazolium chloride (TTC). The stroke rat brain infarct volume and atrophy volume computation system (SRBIAVC system) segmented the images via methods of background removal, gamma correction, brain center line detection, and genetic algorithm to yield a correct estimate on the volume of brain infarct and atrophy. This way, the SRBIAVC system can provide useful information in the development of new drugs for stroke treatment. As indicated by the experimental results, the estimates obtained by the SRBIAVC system were better than those by other methods and more closely approximated the estimates by experts.
本研究以脑中动脉闭塞(MCAO)大鼠为实验对象,采用2,3,5 -三苯基氯化四氮唑(TTC)染色获得脑缺血图像。脑梗死大鼠脑梗死体积和脑萎缩体积计算系统(SRBIAVC)通过背景去除、伽玛校正、脑中心线检测和遗传算法对图像进行分割,得到脑梗死和脑萎缩体积的正确估计。通过这种方式,SRBIAVC系统可以为中风治疗新药的开发提供有用的信息。实验结果表明,SRBIAVC系统得到的估计值优于其他方法,更接近专家估计值。
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引用次数: 0
期刊
2018 International Conference on System Science and Engineering (ICSSE)
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