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International journal of sensor networks and data communications最新文献

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Determination of Blood pH - a Sensor Controlled Device 一种传感器控制装置测定血液pH值
Pub Date : 2021-01-01 DOI: 10.37421/2090-4886.2021.10.E119
M. Hadi
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引用次数: 0
Control of Traffic Light Utilizing AI 基于AI的交通信号灯控制
Pub Date : 2021-01-01 DOI: 10.37421/2090-4886.21.10.163
Mohammad Baghlania
A traffic signal framework created since 1912 to control traffic at convergences, person on foot intersections and different territories. Gridlocks are expanding step by step, so we need to deal with numerous issues. Because of the huge volume of vehicles, the absence of framework and dissemination frameworks is the primary driver of gridlock. Traffic signals are red, blue and green. The green light sign is utilized in the showed course; the yellow light sign is utilized to caution vehicles of a short stop and a red light restricting development. Nowadays, numerous countries endure the evil impacts of the gridlock gives that impact the transportation framework in metropolitan networks and cause certified trouble. Regardless of overriding cops and flagmen by means of modified traffic structures, the headway of the mind-boggling blocked driving conditions is at this point an imperative issue to be gone up against, especially with various convergence centers. The fast addition in the quantity of cars and the continually rising number of road customers is not joined by cutting edge systems with satisfactory resources. Midway game plans were offered by growing new roads, executing flyovers and avoid roads, making rings, and performing roads rebuilding.
自1912年以来创建的交通信号框架,用于控制交汇处,行人路口和不同地区的交通。僵局正在逐步扩大,因此我们需要处理许多问题。由于车辆数量巨大,缺乏框架和传播框架是造成交通堵塞的主要原因。交通信号灯有红、蓝、绿三种颜色。在展示过程中使用绿灯标志;黄灯标志是用来警告车辆的短暂停止和红灯限制发展。如今,许多国家都在忍受着交通堵塞的恶果,它影响着城市网络的交通框架,并造成了公认的麻烦。不管通过改变交通结构的方式来推翻警察和旗手,在这一点上,令人难以置信的堵塞驾驶条件的进展是一个迫切需要解决的问题,特别是在各个汇聚中心。汽车数量的快速增加和道路客户数量的不断增加没有与具有令人满意的资源的尖端系统相结合。中途游戏计划包括发展新道路,执行立交桥和避免道路,制作环和执行道路重建。
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引用次数: 0
Role of Biosensor in the Field Cardiovascular Disorder 生物传感器在心血管疾病领域的作用
Pub Date : 2021-01-01 DOI: 10.37421/2090-4886.21.10.116
Aman Shahabi
Cardiovascular illnesses (CVDs) and stroke are at the top causing demise around the world. World Health Organization (WHO), rough demise of 17.7 million individuals because of CVDs in 2015 which addressed 31% of every worldwide passing. Among these passing’s, around 7.4 million were because of coronary illness, and 6.7 million were because of stroke. Early and speedy conclusion is critical for fruitful visualization of CVD and stroke. In such manner, numerous cardiovascular explicit biomarkers like myoglobin, B-type natriuretic peptide (BNP), heart troponin I (cTnI), C-Receptive Protein (CRP), and interleukins, interferons are distinguished which are recognized utilizing optical (colorimetric, fluorescence, radiance, Surface Plasma Reverberation (SPR) and fiber optics/bio-optrode), acoustic (CMOS Si chips), electrochemical (potentiometric, amperometric and impedimetric transducers), and attractive based biosensors. Albeit critical advances in biosensors ages have been accomplished, these face some genuine limits.
心血管疾病(cvd)和中风是世界上导致死亡的首要原因。根据世界卫生组织(世卫组织)的数据,2015年心血管疾病导致的死亡人数约为1770万人,占全球死亡人数的31%。其中,约740万人死于冠心病,670万人死于中风。早期和快速的结论对于有效的CVD和卒中可视化是至关重要的。通过这种方式,许多心血管明确的生物标志物,如肌红蛋白,b型利钠肽(BNP),心脏肌钙蛋白I (cTnI), c受体蛋白(CRP)和白细胞介素,干扰素被区分出来,这些生物标志物是利用光学(比色法,荧光法,辐射法,表面等离子体混响(SPR)和光纤/生物光电极),声学(CMOS Si芯片),电化学(电位计,安培计和阻抗传感器)和基于吸引力的生物传感器来识别的。尽管生物传感器技术取得了重大进展,但仍面临着一些真正的限制。
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引用次数: 0
Radar Signal Detection in Noise Using Machine Learning 基于机器学习的噪声雷达信号检测
Pub Date : 2021-01-01 DOI: 10.37421/2090-4886.21.10.165
R. Sawyerr
In the cutting edge worldwide conflict climate, electronic fighting, that is, electronic fighting, has become another significant front line other than ocean, land and air. Nations everywhere on the world have progressively understood the basic directing job of electronic countermeasures innovation in the achievement or disappointment of future conflicts. Whoever aces the critical innovations of electronic fighting as far as possible, and whoever has dominated the option to talk and control the conflict later on.
在尖端的全球冲突气候中,电子战,即电子战,已成为海洋、陆地和空中以外的另一个重要前线。世界各国已逐渐认识到电子对抗创新在未来冲突的成功或失败中的基本指导作用。谁就能尽可能地掌握电子战斗的关键创新,谁就能在以后的对话和控制冲突中占据主导地位。
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引用次数: 0
Mid Square Hash Bezier Secured Routing for IoT Enabled Wireless Sensor Networks 物联网无线传感器网络的中方散列贝塞尔安全路由
R. Mohanraj
The swift uptake of sensors and the increasing demand of Wireless Sensor Network (WSN) applications and services create unmatched appeals for routing data packets on WSN infrastructure. In the era of Internet of Things (IoT), an immense number of sensing devices collect numerous sensor data over time for an extensive span of fields. For IoT-enabled devices routing through WSN, sensor nodes transmit confidential data to the gateway nodes via public channels. In such an environment, secured routing remains a serious issue that has to be addressed. To address this issue, in this work, a robust method using Mid Square Hash-based Bezier Authentication (MSH-BA) is designed to secure the routing for IoT-enabled WSNs. First, a Mid Square Hashing Data Collection algorithm is proposed to minimize the energy consumption through unique key generation. To minimize the running time of IoT sensor network, discrete registration is performed between user and gateway nodes. Finally, the proof of correctness of mutual authentication is performed using the Bezier Authentication method via progressive distance, therefore ensuring packet delivery ratio. The robust authentication method is analyzed comprehensively and compared against the similar authentication methods and the results showed that it is efficient and robust than earlier methods.
传感器的迅速普及以及无线传感器网络(WSN)应用和服务需求的不断增长,为在WSN基础设施上路由数据包创造了无与伦比的需求。在物联网(IoT)时代,大量的传感设备随着时间的推移在广泛的领域收集大量的传感器数据。对于通过WSN路由的物联网设备,传感器节点通过公共通道将机密数据传输到网关节点。在这样的环境中,安全路由仍然是一个必须解决的严重问题。为了解决这个问题,在这项工作中,设计了一种使用基于中间方哈希的贝塞尔认证(MSH-BA)的鲁棒方法来保护支持物联网的wsn的路由。首先,提出了一种中方散列数据收集算法,通过生成唯一密钥来最小化能量消耗。为了最大限度地减少物联网传感器网络的运行时间,在用户和网关节点之间进行离散注册。最后,采用递进距离的Bezier认证方法对相互认证的正确性进行证明,从而保证了报文的发送率。对该鲁棒认证方法进行了综合分析,并与同类认证方法进行了比较,结果表明该方法具有较早的鲁棒性和有效性。
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引用次数: 1
Wireless of Egypt 埃及无线
Pub Date : 2018-09-25 DOI: 10.4172/2090-4886-C1-011
pMagdy Mohamed Hafez Abdelmaguidp
In a transition to automated digital management of broadband networks, communica- tion service providers must look for new metrics to monitor these networks. Complete metrics frameworks are already emerging whereas majority of the new metrics are being proposed in technical papers. Considering common metrics for broadband networks and related technologies, this chapter offers insights into what metrics are available, and also suggests active areas of research. The broadband networks being a key component of the digital ecosystems are also an enabler to many other digital technologies and services. Reviewing first the metrics for computing systems, websites and digital platforms, the chapter focus then shifts to the most important technical and business metrics which are used for broadband networks. The demand-side and supply-side metrics including the key metrics of broadband speed and broadband availability are touched on. After outlin- ing the broadband metrics which have been standardized and the metrics for measuring Internet traffic, the most commonly used metrics for broadband networks are surveyed in five categories: energy and power metrics, quality of service, quality of experience, security metrics, and robustness and resilience metrics. The chapter concludes with a discussion on machine learning, big data and the associated metrics.
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引用次数: 2
A smart classroom environment - utilizing sensor networks and Internet of things 智能教室环境——利用传感器网络和物联网
Pub Date : 2018-09-25 DOI: 10.4172/2090-4886-C1-012
P. C. Campbell, Chris Housep
Atmospheric propagation is very effective on the performance of the wireless, mobile, radar, and communication systems. In this paper different atmospheric models are constructed under different atmospheric conditions. The performance of a GSM mobile communication is tested under different atmospheric models. From the obtained results, it is noticed that the coverage of the mobile system antenna is changed highly if the refractive index model of certain country is changed. It is concluded that the atmospheric propagation is very essential parameter to be taken into account when the siting of a mobile GSM network is to be evaluated and designed. This study will be very useful in order to predict the performance of ground radio and airborne systems.
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引用次数: 0
Spectrum efficient PAPR reduction techniques for OFDM systems OFDM系统的频谱高效PAPR降低技术
Pub Date : 2018-08-13 DOI: 10.4172/2090-4886-C1-010
pTetsuya Shimamurap
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引用次数: 0
Strain Sensor and Accelerometer Communication Channels in Drill Pipes of Oil Wells: Delay Spreads and Eigenvalues 油井钻杆中的应变传感器和加速度计通信通道:延迟传播和特征值
Pub Date : 2018-07-19 DOI: 10.4172/2090-4886.1000157
A. Alenezi, A. Abdi
Many symmetric encryption algorithms have been proposed since long time back. They are used to protect the data either during transmission, storage or both. All symmetric algorithms are using a single key used for encryption and decryption same data. In this paper, we have designed a new approach of symmetric algorithm "UR8". It is fiestel network and able to encrypt and decrypt 128 bits block cipher. Further, UR8 algorithm uses 64 bits key size and 8 rounds to encrypt and decrypt the data. Thereafter, we have evaluated UR8 algorithm based on the time required for encryption and decryption, throughput, memory utilization and average data rate. As well, the evaluation result has been compared to DES algorithm.
长期以来,人们提出了许多对称加密算法。它们用于在传输、存储或两者同时进行时保护数据。所有对称算法都使用用于加密和解密相同数据的单个密钥。本文设计了一种新的对称算法“UR8”。它是fistel网络,能够加密和解密128位分组密码。此外,UR8算法使用64位密钥大小和8轮对数据进行加密和解密。此后,我们根据加密和解密所需的时间、吞吐量、内存利用率和平均数据速率对UR8算法进行了评估。并将评价结果与DES算法进行了比较。
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引用次数: 1
Performance Comparison of the KNN and SVM Classification Algorithms in the Emotion Detection System EMOTICA 情感检测系统EMOTICA中KNN与SVM分类算法的性能比较
Pub Date : 2018-02-13 DOI: 10.4172/2090-4886.1000153
Koné Chaka, Nhan Le-Thanh, Rémi Flamary, C. Belleudy
Emotica (EMOTIon CApture) system is a multimodal emotion recognition system that uses physiological signals. A DLF (Decision Level Fusion) approach with a voting method is used in this system to merge monomodal decisions for a multimodal detection. In this document, on the one hand, we describe how from a physiological signal Emotica can detect an emotional activity and distinguish one emotional activity from others. On the other hand, we present a study about two classification algorithms, KNN and SVM. These algorithms have been implemented on the Emotica system in order to see which one is the best. The experiments show that KNN and SVM allow a high accuracy in emotion recognition, but SVM is more accurate than KNN on the data that was used. Indeed, we obtain a recognition rate of 81.69% and 84% respectively with KNN and SVM algorithms under certain conditions.
Emotica(情绪捕捉)系统是一种利用生理信号的多模态情绪识别系统。该系统采用DLF (Decision Level Fusion)方法和投票方法对单模态决策进行合并,实现多模态检测。在本文中,一方面,我们描述了Emotica如何从生理信号中检测情绪活动,并将一种情绪活动与其他情绪活动区分开来。另一方面,我们对KNN和SVM两种分类算法进行了研究。这些算法已经在Emotica系统上实现,以便看到哪一个是最好的。实验表明,KNN和SVM在情感识别中具有较高的准确率,但在使用的数据上,SVM的准确率高于KNN。确实,在一定条件下,我们使用KNN和SVM算法分别获得了81.69%和84%的识别率。
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引用次数: 8
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International journal of sensor networks and data communications
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