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2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)最新文献

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Use of Hybrid Photovoltaic-Thermoelectric (PV-TE) solar module for Enhancing Overall System Efficiency 使用混合光电热电(PV-TE)太阳能模块提高整体系统效率
Aichatou Galy Adam, B. Yesi̇lata
The improvement of the efficiency of the photovoltaic (PV) modules is the focus nowadays of so many researchers. Many test and research were conducted in order to reach that goal. That’s how they came with the idea of a hybrid. Combining the PV module with the thermoelectric module is an innovative approach to improve the efficiency. Thus, not only a part of the solar spectral is exploited as for the PV alone, but a larger spectrum is exploited because the heat too is used. It allows the cooling of the panel and provide an additional power. It was seen also that combining the hybrid with a heat-exchanger (HW) increase the efficiency as well, by changing individually either the PV or the sink of the thermoelectric to reach much better outputs.A comprehensive review on these previous research studies are presented here. Many methods and approaches to enhance the performance of the PV/TE systems are discussed along with mathematical models used. The gaps in existing literature are identified and recommendations for future research are precisely outlined. It is emphasized here that only few experimental studies on PV/TE systems are exist. Therefore, it is highly recommended here that comprehensive experimental studies under real atmospheric conditions should be done with these systems, without neglecting effects of shapes and arrangements of TE materials.
提高光伏组件的效率是目前众多研究人员关注的焦点。为了达到这一目标,进行了许多试验和研究。这就是为什么他们想到了混合动力车。将光伏模块与热电模块相结合是一种提高效率的创新方法。因此,不仅利用了太阳能光伏的一部分光谱,而且利用了更大的光谱,因为热量也被利用了。它可以冷却面板并提供额外的电力。还可以看到,将混合动力与热交换器(HW)相结合,通过单独改变PV或热电汇来提高效率,以达到更好的输出。本文对这些研究进行了综述。讨论了许多提高光伏/TE系统性能的方法和途径,并使用了数学模型。确定了现有文献中的差距,并精确概述了对未来研究的建议。这里要强调的是,目前对PV/TE系统的实验研究很少。因此,这里强烈建议在真实大气条件下对这些系统进行全面的实验研究,不要忽视TE材料形状和排列的影响。
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引用次数: 1
The Semi-Automatic Approach to Extract the Features of Human Facial Region 人脸区域特征的半自动提取方法
Akın Öztopuz, B. Karasulu
The segmantation of the human facial region from a complex background is the basis for the success of today's applications such as facial recognition, expression extraction, surveillance systems, and the guilty people finding. Finding the face region and then extracting attributes that represent the face is another problematic process that needs to be overcome. In general, as is well done in the literature, using the Viola-Jones method or functions in libraries such as D-lib, the above-mentioned operations can be performed fully automatically. This means that the methods applied automatically to use reference data (e.g., XML data format for Viola-Jones) or detectors (D-lib landmark detection) to find keypoints independent of the given object as input. In this study, it is aimed to extract the face region from the image containing the frontal human face with semi-automatic approaches and to mark the area with eye and nose keypoints on the obtained area. Human face contour and face geometry information are used in face positioning. The eye map (i.e., EyeMap) algorithm was used for eye keypoint extraction, while facial geometry, morphological operations and computer vision library OpenCV template matching functions were used for the nasal region. As a result, the main purpose of this study is to obtain the facial region via ensuring the appropriate features with our semi-automatic approach instead of extracting automatically by using known libraries or mostly by machine learning methods. In addition, some discussion and conclusion are involved by our study as well.
从复杂背景中对人脸区域进行分割是当今人脸识别、表情提取、监控系统和罪犯寻找等应用成功的基础。寻找人脸区域,然后提取代表人脸的属性是另一个需要克服的问题。一般来说,正如文献中所做的那样,使用Viola-Jones方法或D-lib等库中的函数,可以完全自动地执行上述操作。这意味着该方法自动应用于使用参考数据(例如,Viola-Jones的XML数据格式)或检测器(D-lib地标检测)来查找独立于给定对象作为输入的关键点。在本研究中,采用半自动方法从包含正面人脸的图像中提取人脸区域,并在得到的区域上用眼和鼻关键点标记该区域。人脸定位利用人脸轮廓和几何信息。眼部关键点提取采用眼图(即EyeMap)算法,鼻腔区域采用面部几何、形态学操作和计算机视觉库OpenCV模板匹配函数。因此,本研究的主要目的是通过我们的半自动方法确保适当的特征来获得面部区域,而不是通过使用已知库或主要通过机器学习方法自动提取。此外,我们的研究也涉及到一些讨论和结论。
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引用次数: 1
A Comparison of Hough Transform and Deep Neural Network Methods on Road Segmentation Hough变换与深度神经网络在道路分割中的比较
Sıdıka Elbi Mutluoğlu, T. Ölmez
Thanks to developments in the computer hardware systems, deep learning has been an attractive field for many researchers in different disciplines. Aim of deep learning is to extract the desired features of raw data as a learning method by operating many hidden layers. Accomplished results of learning methods on complex issues as face recognition, object detection, motion recognition etc. led researchers to think about applying deep learning methods to road lane detection-segmentation which is one of the very important issues of Advanced Driver Assistance Systems (ADAS). Considering main limitations of conventional methods for lane detection, deep learning approach can provide more robustness than existing approaches. The objective of work is to compare the effectiveness of conventional and deep learning applications to improve accuracy of the road segmentation
由于计算机硬件系统的发展,深度学习已经成为许多不同学科的研究人员的一个有吸引力的领域。深度学习的目的是通过操作多个隐藏层来提取原始数据所需的特征作为一种学习方法。深度学习方法在人脸识别、物体检测、运动识别等复杂问题上取得的成果,促使研究者思考将深度学习方法应用于道路车道检测分割,这是高级驾驶辅助系统(ADAS)的重要问题之一。考虑到传统车道检测方法的主要局限性,深度学习方法比现有方法具有更高的鲁棒性。工作的目的是比较传统和深度学习应用程序在提高道路分割精度方面的有效性
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引用次数: 1
Predicting Tailpipe NOx Emission using Supervised Learning Algorithms 使用监督学习算法预测尾气排放
Kutsev Bengisu Altuğ, Sami Emre Küçük
The dynamics underlying the tailpipe NOx emissions in vehicles is in a complex relationship with multiple engine components in a temporal manner. Physical models constructed to explain the relationship are too complex and solutions require high computational power. Additional uncontrollable environmental effects are also unable to incorporate these models. We present novel data-driven methods to predict tailpipe NOx emissions using machine learning and deep learning methods. As an ensemble methods representor eXtreme Gradient Boosting (XGBoost), as regularized linear models Elastic Net and as a deep learning method Long-Short-Term-Memory (LSTM) were chosen and their capability of handling time-series sensor data were assessed. We use engine speed, engine torque, pedal position and vehicle speed obtained from real-world driving data to deduce high NOx emission amount during real world driving. We reveal that satisfactory results can be achieved even if we have small data both in terms volume and variety by using weighted objective functions.
车辆尾气排放背后的动力学与多个发动机部件在时间上存在复杂的关系。为解释这种关系而构建的物理模型过于复杂,解决方案需要很高的计算能力。其他不可控的环境影响也无法纳入这些模型。我们提出了新的数据驱动方法,利用机器学习和深度学习方法来预测尾气排放。选择了代表极端梯度增强(eXtreme Gradient Boosting, XGBoost)的集成方法、正则化线性模型Elastic Net和深度学习方法长短期记忆(LSTM),并对其处理时间序列传感器数据的能力进行了评估。我们使用从真实驾驶数据中获得的发动机转速、发动机扭矩、踏板位置和车速来推断真实驾驶过程中的高氮氧化物排放量。我们发现,使用加权目标函数,即使我们的数据在体积和种类方面都很小,也可以取得令人满意的结果。
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引用次数: 3
Design Trends for Line Start Permanent Magnet Synchronous Motors 直线起动永磁同步电动机的设计趋势
Berkan Zöhra, M. Akar
Starting from the first years of the proposed period right up to the 2000s, there were commercialization concerns of line start permanent magnet synchronous motors. This situation, which developed as a result of not developing methods to adequately explain the motor operating characteristics, and also because of the limitations associated with the non-high-performance manufacturing materials, took place widely until the 1970s. In subsequent years, the development of increasingly efficient materials, as well as the use of innovative methods, such as advanced magnetic circuit models and FEM analysis, which better reflect the performance of the motor, these motors became available for an increasing number of industries. In the past 10 years, research has paid off, and finally, line start permanent magnet synchronous motors have begun to be offered on the market as an alternative to AC induction motors. These motors, which are offered on the market with an IE4 efficiency class limits level that is currently tricky to achieve with traditional AC induction motors, are already included in the catalog of many major motor manufacturers.With this study, a detailed literature search was conducted and filtered on the development and improvement of line start permanent magnet synchronous motors. As a result of the study of numerous researches and more than 50 rotor topologies, design trends were identified that are important in the development of such motors. The development steps from the proposed years to the present have been discussed in terms of manufacturability, efficiency and performance.
从提议期间的头几年一直到2000年代,一直存在线路启动永磁同步电机的商业化问题。这种情况一直持续到20世纪70年代,因为没有开发出充分解释电机运行特性的方法,也因为与非高性能制造材料相关的限制而发展起来。在随后的几年里,越来越高效的材料的发展,以及使用创新的方法,如先进的磁路模型和有限元分析,这更好地反映了电机的性能,这些电机成为可用于越来越多的行业。在过去的10年里,研究取得了成果,最终,在线启动永磁同步电机已经开始在市场上提供,作为交流感应电机的替代品。这些电机在市场上提供的IE4效率等级限制水平,目前传统的交流感应电机难以实现,已被列入许多主要电机制造商的目录。本研究对线路起动永磁同步电动机的研制和改进进行了详细的文献检索和筛选。由于大量的研究和超过50种转子拓扑结构的研究结果,确定了在这种电机的发展中很重要的设计趋势。从可制造性、效率和性能方面讨论了从提出的年份到现在的发展步骤。
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引用次数: 2
An Ant Colony Optimization Memorizing Better Solutions (ACO-MBS) for Traveling Salesman Problem 旅行商问题的蚁群优化记忆优化算法
D. Ekmekci
Ant Colony Optimization (ACO) is a population-based meta-heuristic method that mimics the foraging behavior of the ant colony in real life. The pheromone approach as the highlight method of the algorithm is the most effective factor in determining the moving of ants. Therefore, the problem of tuning the pheromone trail is an important topic for ACO that deserves attention. In this paper, a novel method which memorizes the solution costs and updates the pheromone trail according to the memorized costs is introduced for updating the pheromone trail in ACO. The performance of the proposed method was simulated on the Travelling Salesman Problem (TSP) and compared with the versions of ACO algorithm.
蚁群优化(Ant Colony Optimization, ACO)是一种基于群体的元启发式算法,它模拟了现实生活中蚁群的觅食行为。信息素法作为算法的亮点方法,是确定蚂蚁移动的最有效因素。因此,信息素轨迹的调整问题是蚁群算法中一个值得关注的重要课题。针对蚁群算法中信息素轨迹的更新问题,提出了一种记忆求解成本并根据记忆成本更新信息素轨迹的新方法。对旅行商问题(TSP)进行了仿真,并与不同版本的蚁群算法进行了比较。
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引用次数: 2
Performance Analysis of Between Software Defined Wireless Network and Mobile Ad Hoc Network Under DoS Attack DoS攻击下软件定义无线网络与移动自组网性能分析
Hüseyin Polat, Onur Polat, Esra Söğüt, O. A. Erdem
The traditional network used today is unable to meet the increasing needs of technology in terms of management, scaling, and performance criteria. Major developments in information and communication technologies show that the traditional network structure is quite lacking in meeting the current requirements. In order to solve these problems, Software Defined Network (SDN) is capable of responding as it, is flexible, easier to manage and offers a new structure. Software Defined Networks have many advantages over traditional network structure. However, it also brings along many security threats due to its new architecture. For example, the DoS attack, which overloads the controller's processing and communication capacity in the SDN structure, is a significant threat. Mobile Ad Hoc Network (MANET), which is one of the wireless network technologies, is different from SDN technology. MANET is exposed to various attacks such as DoS due to its security vulnerabilities. The aim of the study is to reveal the security problems in SDN structure presented with a new understanding. This is based on the currently used network structures such as MANET. The study consists of two parts. First, DoS attacks against the SDN controller were performed. Different SDN controllers were used for more accurate results. Second, MANET was established and DoS attacks against this network were performed. Different MANET routing protocols were used for more accurate results. According to the scenario, attacks were performed and the performance values of the networks were tested. The reason for using two different networks in this study is to compare the performance values of these networks at the time of attack. According to the test results, both networks were adversely affected by the attacks. It was observed that network performance decreased in MANET structure but there was no network interruption. The SDN controller becomes dysfunctional and collapses as a result of the attack. While the innovations offered by the SDN structure are expected to provide solutions to many problems in traditional networks, there are still many vulnerabilities for network security.
目前使用的传统网络在管理、可扩展性和性能标准方面已经无法满足日益增长的技术需求。信息通信技术的重大发展表明,传统的网络结构已经远远不能满足当前的要求。为了解决这些问题,软件定义网络(SDN)具有响应能力强、灵活、易于管理和提供一种新的结构。软件定义网络与传统网络结构相比具有许多优点。然而,由于它的新架构,也带来了许多安全威胁。例如,在SDN结构中,DoS攻击会使控制器的处理和通信能力过载,是一种严重的威胁。移动自组网(MANET)是一种不同于SDN技术的无线网络技术。由于其安全漏洞,MANET暴露于各种攻击,例如DoS。研究的目的是揭示SDN结构中存在的安全问题,并对其提出新的认识。这是基于目前使用的网络结构,如MANET。本研究由两部分组成。首先,对SDN控制器进行DoS攻击。为了获得更准确的结果,使用了不同的SDN控制器。其次,建立MANET网络,并对该网络进行DoS攻击。为了获得更准确的结果,使用了不同的MANET路由协议。根据场景进行攻击,测试网络的性能值。在本研究中使用两个不同的网络的原因是为了比较这些网络在攻击时的性能值。从测试结果来看,两个网络都受到了攻击的不利影响。我们观察到,在MANET结构中,网络性能下降,但没有网络中断。攻击导致SDN控制器功能失常并崩溃。SDN结构的创新有望解决传统网络中的许多问题,但网络安全仍存在许多漏洞。
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引用次数: 2
Hand Gesture Recognition Using Convolutional Neural Network for People Who Have Experienced A Stroke 使用卷积神经网络识别中风患者的手势
Norah Alnaim, M. Abbod, Abdulrahman Albar
A human gesture is a non-verbal form of communication and is critical in human-robot interactions. Vision-based gesture recognition methods play a key role to detect hand motion and support such interactions. Hand gesture recognition allows a appropriate, and usable interface between users and devices. Hand gestures can be used for various fields which makes it be able to be implemented for communication and further. Hand gesture recognition is not only useful for people who are hearing-impaired or disabled but also for the people who have experienced a stroke, as they need to communicate with other people using different common essential gestures such as the sign of eating, drink, family and, more. In this paper, a system for recognizing hand gesture based on Convolutional Neural Network (CNN) is proposed. The developed method is evaluated and compared between training and testing modes based on several metrics such as execution time, accuracy, sensitivity, specificity, positive and negative predictive value, likelihood and root mean square. Results show that testing accuracy is 99% using CNN and is an effective technique in extracting distinct features and classifying data.
人类手势是一种非语言的交流形式,在人机交互中至关重要。基于视觉的手势识别方法在检测手部运动和支持这种交互方面起着关键作用。手势识别允许在用户和设备之间提供适当的、可用的界面。手势可以用于各种领域,这使得它能够实现通信和进一步。手势识别不仅对听力受损或残疾的人有用,而且对中风患者也有用,因为他们需要使用不同的常见基本手势与他人交流,如吃饭、喝水、家庭等。本文提出了一种基于卷积神经网络(CNN)的手势识别系统。基于执行时间、准确性、灵敏度、特异性、阳性预测值和阴性预测值、似然值和均方根等指标,对训练模式和测试模式进行了评价和比较。结果表明,该方法的测试准确率可达99%,是一种有效的特征提取和分类技术。
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引用次数: 12
Lead-Free Soldering Risks and Reliability Problems in Space Electronics 空间电子产品的无铅焊接风险和可靠性问题
Barış Çal
Some elements can be extremely harmful for both environment and human health. If it is not possible to avoid them completely, they must remain at least within the certain limits. This situation is more common especially in electrical and electronic manufacturing due to the usage of leaded alloys in solders and finishes. In this case, European Community, United States, Japan and some other countries have at least approved the use of these chemicals within the maximum limits defined by RoHS (Restriction of the Use of Hazardous Substances) Directives which is 0.1% ppm for lead.RoHS rules came up in the early 2000s became mandatory in Europe, United States and Japan in the field of commercial electronics in the last half of next decade. Manufacturers switched to lead-free solder and component production and usage rapidly as a result of this situation. This rapid transition has brought many question marks and information gaps.Certain industries such as military, aerospace, transportation and space are excluded from RoHS Directives. However, switching of electronic component manufacturer to lead-free technology brings some problems such as finding leaded components and reduced number of leaded product supplier in time for space and similar industries.Reliability is one of the most important and critical factor in space technologies. Lead-free solder alloys and technologies has different properties compared to leaded alloys in terms of process to material. Leaded alloys are highly reliable and traceable compared to lead-free alloys. Reliability level of lead-free alloys should be defined by destructive, non-destructive, accelerated tests and inspections and also a lead-free plan should be prepared if lead-free solder alloys are planning to be used in space technologies
有些元素对环境和人体健康都极为有害。如果不可能完全避免它们,它们必须至少保持在一定的限度内。由于在焊料和饰面中使用含铅合金,这种情况在电气和电子制造业中更为常见。在这种情况下,欧共体、美国、日本和其他一些国家至少已批准在RoHS(限制使用有害物质)指令规定的最大限度内使用这些化学品,即铅的0.1% ppm。RoHS法规于21世纪初提出,在未来十年的最后五年在欧洲,美国和日本的商业电子领域成为强制性规定。由于这种情况,制造商迅速转向无铅焊料和组件的生产和使用。这种快速的转变带来了许多问号和信息空白。某些行业,如军事、航空航天、运输和空间,不包括在RoHS指令中。然而,电子元件制造商向无铅技术的转变给空间和类似行业带来了一些问题,如及时发现含铅元件和减少含铅产品供应商数量。可靠性是空间技术中最重要、最关键的因素之一。与含铅合金相比,无铅焊料合金和技术在工艺和材料方面具有不同的性能。与无铅合金相比,含铅合金具有高可靠性和可追溯性。无铅合金的可靠性水平应通过破坏性、非破坏性、加速试验和检查来确定,如果无铅焊料合金计划用于空间技术,还应制定无铅计划
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引用次数: 1
Survey of Network Security Issues and Solutions for the IoT 物联网网络安全问题及解决方案综述
Azhar Murzaeva, Buğra Kepçeoğlu, Sercan Demirci
In this survey we aim to outline possible attacks in IoT network and to propose possible solutions for them. Security issues were classified depending on the layers in IoT architecture. Despite of this classification, issues in these layers trigger whole system’s security. Solutions for them are presented, too. Therefore, we emphasized the need for such security solutions for further study.
在本调查中,我们旨在概述物联网网络中可能发生的攻击,并提出可能的解决方案。安全问题根据物联网架构的层进行分类。尽管有这种分类,但这些层中的问题会触发整个系统的安全性。本文也提出了解决这些问题的方法。因此,我们强调需要对这种安全解决方案进行进一步的研究。
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引用次数: 1
期刊
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
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