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2019 3rd International Conference on Computing and Communications Technologies (ICCCT)最新文献

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Development Of A Novel Security Scheme Using DNA Biocryptography For Smart Meter Data Communication 基于DNA生物密码学的智能电表数据通信安全方案研究
V. Radhakrishnan, D. Durairaj, Kannapiran Balasubramanian, K. Kamatchi
Data security is a major requirement of smart meter communication to control server through Advanced Metering infrastructure. Easy access of smart meters and multi-faceted nature of AMI communication network are the main reasons of smart meter facing large number of attacks. The different topology, bandwidth and heterogeneity in communication network prevent the existing security mechanisms in satisfying the security requirements of smart meter. Hence, advanced security mechanisms are essential to encrypt smart meter data before transmitting to control server. The emerging biocryptography technique has several advantages over existing techniques and is most suitable for providing security to communication of low processing devices like smart meter. In this paper, a lightweight encryption scheme using DNA sequence with suitable key management scheme is proposed for secure communication of smart meter in an efficient way. The proposed 2-phase DNA cryptography provides confidentiality and integrity to transmitted data and the authentication of keys is attained by exchanging through Diffie Hellman scheme. The strength of proposed encryption scheme is analyzed and its efficiency is evaluated by simulating an AMI communication network using Simulink/Matlab. Comparison of simulation results with various techniques show that the proposed scheme is suitable for secure communication of smart meter data.
数据安全是智能电表通信通过高级计量基础设施控制服务器的主要要求。智能电表的易接入性和AMI通信网络的多面性是智能电表面临大量攻击的主要原因。由于通信网络的拓扑结构、带宽和异构性不同,现有的安全机制难以满足智能电表的安全要求。因此,在将智能电表数据传输到控制服务器之前,必须使用先进的安全机制对其进行加密。新兴的生物加密技术与现有技术相比具有许多优点,最适合为智能电表等低处理量设备的通信提供安全保障。针对智能电表的安全通信问题,提出了一种采用DNA序列和合适的密钥管理方案的轻量级加密方案。所提出的两阶段DNA密码技术为传输数据提供了保密性和完整性,密钥的认证通过Diffie Hellman方案交换实现。利用Simulink/Matlab对AMI通信网络进行仿真,分析了所提出的加密方案的强度,并对其有效性进行了评价。仿真结果表明,该方案适用于智能电表数据的安全通信。
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引用次数: 2
Impact of social media marketing efforts on Destination’s brand equity: A study among International Tourists arriving to Sri Lanka 社交媒体营销对目的地品牌资产的影响:一项针对斯里兰卡国际游客的研究
Mohamed I. M. Hilal
The aim of the study is to investigate the impact of social media marketing efforts on the creation of brand equity of Sri Lanka as a destination for international tourists. The other specific objectives are; to explore the social media marketing efforts of Sri Lanka as destination brand, to investigate the brand equity of Sri Lanka as destination and to recommend suggestions to improve the social media marketing efforts for Sri Lanka as destination brand. Results reveal that all factors under the social media marketing efforts namely entertainment, customization and eWOM are positively contributing to the brand equity of Sri Lanka as a destination. However, the other two factors of social media marketing efforts such as interaction and trendiness are negatively impacting on the brand equity of Sri Lanka as destination. Therefore, it is recommended that destination marketers of Sri Lanka need to give moreattention on the interaction and trendiness of the social media marketing efforts.
该研究的目的是调查社交媒体营销对斯里兰卡作为国际游客目的地的品牌资产创造的影响。其他具体目标是;探索斯里兰卡作为目的地品牌的社交媒体营销工作,调查斯里兰卡作为目的地品牌的品牌资产,并提出改进斯里兰卡作为目的地品牌的社交媒体营销工作的建议。结果显示,社交媒体营销努力下的所有因素,即娱乐、定制和edom,都对斯里兰卡作为目的地的品牌资产做出了积极贡献。然而,社交媒体营销工作的其他两个因素,如互动性和时尚性,对斯里兰卡作为目的地的品牌资产产生了负面影响。因此,建议斯里兰卡的目的地营销人员需要更多地关注社交媒体营销工作的互动性和时尚性。
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引用次数: 3
Analysis of Firefly-Fuzzy Hybrid Controller for Wheeled Mobile Robot 轮式移动机器人萤火虫-模糊混合控制器分析
B. Patle, Brijesh Patel, A. Pandey, O. Sahu, D. Parhi
At present, many intelligent techniques have been developed by various researchers in the field of mobile robot navigation. It is the task of getting proper movement in the environment to attain said goal by detecting and avoiding the obstacle with less human interference. For effective navigational strategy, Firefly-Fuzzy hybrid algorithm is analyzed over the unstructured environment because individual technique may not guaranty for an optimal solution over all configurations. The key advantage of the proposed hybrid controller is that it combines the multiple features of the different approaches into a single controller. The simulation and experimental results are presented at the end of paper over various environmental conditions and it is compared with the standalone algorithm; it is observed that the hybrid Firefly-Fuzzy controller performs well in terms of path and time optimization.
目前,在移动机器人导航领域,各种研究人员已经开发了许多智能技术。它的任务是在环境中进行适当的运动,通过较少的人为干扰来检测和避开障碍物,以达到上述目标。为了获得有效的导航策略,在非结构化环境下分析了萤火虫-模糊混合算法,因为单个技术不能保证在所有配置下都能得到最优解。所提出的混合控制器的主要优点是它将不同方法的多个特征结合到单个控制器中。最后给出了各种环境条件下的仿真和实验结果,并与独立算法进行了比较;结果表明,萤火虫-模糊混合控制器在路径优化和时间优化方面具有较好的性能。
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引用次数: 1
Recognition Of Fish Categories Using Deep Learning Technique 基于深度学习技术的鱼类分类识别
P. Varalakshmi, J. Julanta Leela Rachel
Nowadays the most crucial aspect in Fisheries is the classification and localization of Fish. Due to Segmentation problems, noise and changes in the environmental conditions, it is difficult to classify the images with good accuracy. However, the object recognition with greater accuracy is in great demand. So, in order to solve this problem, the Convolutional Neural Network is used which helps to classify and localize the images with better accuracy. Fish classification is made by training the dataset and the level of accuracy has been improved by using different activation functions. Several comparisons have been made and finally a better method has been identified, thereby the accuracy is improved. Localization helps to generate Region proposals and class labels successfully. Finally, image classification and localization has been made with greater accuracy.
目前渔业中最重要的方面是鱼类的分类和定位。由于分割问题、噪声和环境条件的变化,很难对图像进行很好的分类。然而,对更高精度的目标识别有很大的需求。因此,为了解决这一问题,使用了卷积神经网络,它有助于以更好的精度对图像进行分类和定位。通过训练数据集对鱼类进行分类,并通过使用不同的激活函数来提高准确率。经过多次比较,最终确定了一种更好的方法,从而提高了精度。本地化有助于成功生成区域提案和类标签。最后,提高了图像的分类和定位精度。
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引用次数: 7
Comparative Analysis of Cauchy Mutation and Gaussian Mutation in Crazy PSO 疯狂粒子群中柯西突变与高斯突变的比较分析
Archana Sarangi, Sonali Samal, Shubhendu Kumar Sarangi
This paper provides an analysis of the use of Cauchy mutation and Gaussian mutation individually in a popular improved version of particle swarm optimization techniques for the improvement of convergence to final global solution. The particle swarm optimization is one of the famous techniques of swarm intelligence which has exhibited a standard performance in different real world as well as benchmark problems. But it has also some limitations, which forces the researchers to introduce some modifications for improvement of its convergence. In this paper, we propose two enhanced PSO alternate i.e. Cauchy mutated Crazy PSO and Gaussian mutated Crazy PSO, where the concept of Cauchy and Gaussian mutation are introduced respectively. Crazy PSO is one of the widely used modifications of in the earlier improved versions of PSO. Simulation results show that the Cauchy mutated crazy PSO has shown better results in comparison to the Gaussian mutated crazy PSO. The result also shown that both the modifications have exhibited better performance than the normal crazy PSO algorithm. The introduction of Cauchy mutation and Gaussian mutation helps in improvement of the performance of the crazy PSO algorithm which can be easily verified by the variation of dimensions along with population size.
本文分析了柯西突变和高斯突变在粒子群优化中的应用,以提高粒子群优化的全局收敛性。粒子群优化是著名的群体智能技术之一,在不同的现实世界和基准问题中都表现出标准的性能。但它也有一些局限性,这迫使研究人员引入一些修改,以提高其收敛性。本文提出了两种改进的PSO替代方案,即柯西突变的疯狂PSO和高斯突变的疯狂PSO,其中分别引入了柯西突变和高斯突变的概念。疯狂PSO是PSO早期改进版本中被广泛使用的修改之一。仿真结果表明,柯西突变疯狂粒子群算法比高斯突变疯狂粒子群算法具有更好的性能。结果还表明,这两种改进都比常规的疯狂粒子群算法表现出更好的性能。引入柯西突变和高斯突变有助于提高疯狂粒子群算法的性能,并且可以很容易地通过维数随种群大小的变化进行验证。
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引用次数: 3
Low-Cost Air Sensing System 低成本空气传感系统
B. Sahoo, Akanksha Maharana, M. Murali, L. Shivani, G. Suganya, M. Premalatha
With the ever growing population, increase in vehicle use, industrialization and urbanization, the level of pollution in the air has increased resulting in several harmful effects on the well-being of humans by directly affecting their health. This paper proposes a model based on IoT called the Air Sensing System which will help monitor the quality of air that we breathe over a cloud based platform and will trigger an alarm when the air quality dips below a certain level, which would basically suggest that there are significant number of pollutants present in the surrounding air like CO2, smoke, NO2, SO2, or LPG. The model will then display the air quality in PPM on the internet based platform making it extremely convenient to monitor. The proposed model uses MQ135 sensor which is the best choice for a pocket friendly device that can monitor air quality as it detects the most harmful gases and can measure their amount with precision and accuracy. The model offers ease of usage as the air quality can be monitored from anywhere using any computer or mobile. The model can act as a module for a air purifying system in the future where the model triggers some actuator like an Exhaust Fan or Air Conditioner when the pollution rises above a certain level or can be used to alert the owner through a message. With the ever growing pollution, such a low cost model is the need of the hour.
随着人口的不断增长,车辆使用量的增加,工业化和城市化,空气污染程度的增加,直接影响到人类的健康,对人类的福祉产生了几种有害影响。本文提出了一个基于物联网的模型,称为空气传感系统,它将有助于监测我们在基于云的平台上呼吸的空气质量,并在空气质量下降到一定水平以下时触发警报,这基本上表明周围空气中存在大量污染物,如二氧化碳,烟雾,NO2, SO2或LPG。然后,该模型将在基于互联网的平台上显示以PPM为单位的空气质量,使其非常方便监测。提出的模型使用MQ135传感器,这是一个口袋友好型设备的最佳选择,可以监测空气质量,因为它可以检测到最有害的气体,并可以精确和准确地测量它们的数量。该模型易于使用,因为可以使用任何电脑或手机从任何地方监测空气质量。未来,该模型可以作为空气净化系统的模块,当污染超过一定水平时,该模型可以触发一些执行器,如排气扇或空调,或者可以通过消息提醒车主。随着污染的日益严重,这种低成本的车型是当务之急。
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引用次数: 3
An Efficient Weld Image Classification System Using Wavelet And Support Vector Machine 基于小波和支持向量机的焊缝图像分类系统
V. Kalaiselvi, D. Aravindhar
A weld defect is a flaw occurs during the weldment. These defects are unavoidable during welding process. In this paper, an efficient weld image classification system for the classification of weld images into defect or no defect is presented. It uses GD X-ray weld image database for the evaluation. Discrete Wavelet Transform (DWT) is applied to GD X-ray weld images to obtain the wavelet coefficients of low and high frequencies. Then, energy and entropy features are computed. Support Vector Machine (SVM) classifier with different kernels is used for classification of flaw images into defect or no defect. Result show that DWT and SVM classifier provides 95% accuracy for weld image classification.
焊接缺陷是在焊接过程中出现的缺陷。这些缺陷在焊接过程中是不可避免的。本文提出了一种有效的焊缝图像分类系统,将焊缝图像分为缺陷和无缺陷两类。采用GD x射线焊缝图像数据库进行评价。将离散小波变换(DWT)应用于GD x射线焊缝图像,得到低、高频小波系数。然后,计算能量和熵特征。采用不同核的支持向量机分类器对缺陷图像进行缺陷和无缺陷的分类。结果表明,DWT和SVM分类器对焊缝图像的分类准确率达到95%。
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引用次数: 1
Sustainability and Fog Computing: Applications, Advantages and Challenges 可持续性和雾计算:应用、优势和挑战
A. Farooqi, Syed Imtiyaz Hassan, M. A. Alam
Designing a sustainable society is a key concern of the United Nations’ 2030 Sustainable Development Goals. Sustainable fog computing is the most prominent solution for most problems occurring in cloud data centers, such as latency, security, carbon footprint, electricity consumption and so on. It is an extended design of cloud computing that supports horizontal computing paradigm providing cloud-like services at the edge of user premises. After emerging IoT fog computing has become the first choice of time sensitive applications due to its residing closer to the devices and sensors. In this paper we have introduced fog computing and differentiated it from cloud, furthermore, we have discussed how we can achieve sustainability through fog in several applications areas. Also, we have presented some existing challenges of fog paradigm. Moreover, we have reviewed some existing work about fog computing.
设计一个可持续发展的社会是联合国2030年可持续发展目标的一个关键关注点。可持续雾计算是云数据中心中出现的大多数问题(如延迟、安全、碳足迹、电力消耗等)的最突出的解决方案。它是云计算的一种扩展设计,支持水平计算范式,在用户场所的边缘提供类似云的服务。在新兴的物联网之后,雾计算由于更靠近设备和传感器而成为时间敏感应用的首选。在本文中,我们介绍了雾计算,并将其与云计算区分开来,此外,我们还讨论了如何在几个应用领域通过雾实现可持续性。此外,我们还提出了雾范式存在的一些挑战。此外,我们还回顾了一些关于雾计算的现有研究。
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引用次数: 3
CASECOP: A Drone Case for Mobile CASECOP:无人机移动案例
S. Gomathi, V. Aravinthan, M. Sanju, S. Selvam
The Casecop is a mobile drone case that is used for mobile safety. The mobile with drone case wherever dropped automatically the mobile flying and detecting the user who has a drone controller and coming to near that user easily. These drone case help to many users to protect mobile. Our proposed system provides waterproof for the mobile through the sensors which are placed into the mobile case. When the sensor detects the water flows, it will automatically close the areas like charger port, headphone port, etc.
Casecop是一款用于移动安全的移动无人机保护套。带有无人机外壳的手机无论在哪里掉落,都会自动飞行,并检测拥有无人机控制器的用户,并轻松接近该用户。这些无人机保护套帮助许多用户保护手机。我们提出的系统通过放置在手机外壳中的传感器为手机提供防水。当传感器检测到水流时,会自动关闭充电口、耳机口等区域。
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引用次数: 0
Preferential Multi-Attribute Rank based Forwarding Node Selection in Software Defined Networks 基于优先多属性秩的软件定义网络转发节点选择
Deva Priya Isravel, S. Silas, E. Rajsingh
Today’s networks provide a plethora of applications with heterogeneous characteristics. The network generates a huge volume of traffic because of its distributed nature and requires preferential treatment for controlling them. The existing traditional system lacks efficiency because of the diverse nature of the network and the need for the high-performance network is imminent. However, one of the predominant issues that demand high attention is traffic flow management. This paper explores the various traffic management approaches and analyses the significant role played by the next hop neighbor node selection in improving the performance of the network. To address this issue, the emerging software defined networking paradigm (SDN) is introduced to enable flexible traffic flow control. A novel method for traffic flow management by adopting the Simple Multi-Attribute Rating Technique (SMART) ranking method has been proposed for selecting the best next hop neighbor for forwarding the flows. A flow scheduling algorithm has been adopted for minimizing the maximum link utilization and provide improved performance. Simulation result shows that the proposed algorithm performs better in terms of throughput and latency.
今天的网络提供了大量具有异构特性的应用程序。由于网络的分布式特性,产生了巨大的流量,需要优先控制流量。由于网络的多样性和对高性能网络的需求日益迫切,现有的传统系统效率低下。然而,交通流量管理是一个需要高度关注的主要问题。本文探讨了各种流量管理方法,分析了下一跳邻居节点选择对提高网络性能的重要作用。为了解决这个问题,引入了新兴的软件定义网络范式(SDN)来实现灵活的流量控制。提出了一种基于简单多属性评级技术(Simple Multi-Attribute Rating Technique, SMART)排序法的流量管理新方法,为流量转发选择最佳的下一跳邻居。为了使最大链路利用率最小化并提高性能,采用了流量调度算法。仿真结果表明,该算法在吞吐量和延迟方面都有较好的性能。
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引用次数: 1
期刊
2019 3rd International Conference on Computing and Communications Technologies (ICCCT)
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