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2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)最新文献

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OTP Based Cardless Transction using ATM 基于OTP的ATM无卡交易
Md. Al Mahmud Imran, M. Mridha, Md. Kamruddin Nur
Banks provide ATM cards to customer to avail the services like cash withdrawal, PIN change, balance inquiry etc. But physical cards have some problems. It can be stolen, skimmed, cloned, hijacked, damaged or expired. Due to this problem, we need to think an alternate way to provide better security. Many researchers are thinking about cardless transaction through ATM. Iyabode et. al. [1] proposed a conceptual model for cardless Electronic ATM through which customer can do cash withdrawal, balance inquiry, fund transfer etc. We have analyzed their protocol and found some flaws on this. This protocol doesn’t specify what if it is off us transaction. Besides, customers get different categories of services but this protocol cannot determine which customer will get which category of services. That is why, inspired by this protocol we have proposed a modified model for getting same transaction facilities as exists which uses BPIN that will determine the bank identity (B) and a random Personal Identification Number (PIN) and One Time Password for authentication of the customer instead of biometric fingerprint because of major disadvantage of biometric authentication. And obviously it will use no card for accomplishing the transaction.
银行向客户提供ATM卡,以方便提取现金、更改密码、查询余额等服务。但是实体卡有一些问题。它可以被窃取、浏览、克隆、劫持、损坏或过期。由于这个问题,我们需要考虑另一种方法来提供更好的安全性。许多研究人员正在考虑通过自动取款机实现无卡交易。Iyabode等人[1]提出了一种无卡电子ATM的概念模型,客户可以通过该模型进行提现、余额查询、资金转账等操作。我们分析了他们的协议,发现了一些缺陷。该协议没有指定如果它是关闭我们的交易。此外,客户获得不同类别的服务,但该协议无法确定哪个客户将获得哪个类别的服务。这就是为什么,受此协议的启发,我们提出了一个修改模型,用于获得与现有交易设施相同的交易设施,该模型使用BPIN来确定银行身份(B)和随机个人识别号码(PIN)和一次性密码进行客户身份验证,而不是生物识别指纹,因为生物识别身份验证的主要缺点。显然,它不会使用卡来完成交易。
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引用次数: 11
Design and Evaluation of Modified Circular Wearable Ultra-Wideband Antenna 改进型圆形可穿戴超宽带天线设计与评价
Joy Baidda, S. Huq, F. Arifin
The wearable antenna is a planar antenna made of textile materials as the substrate. Several frequency bands have been assigned for wearable antennas such as Industrial Scientific Medical (ISM) having frequency range from 2.4 GHz to 5.8 GHz and Ultra-Wide Band (UWB) having frequency range 3.1 GHz to 10.6 GHz. In recent days, Ultra-Wide Band antennas are widely used because of their low transmission power requirements and high data rate. The major challenge for designing a wearable antenna is to attain a broader bandwidth of a compact textile antenna having high radiation efficiency. The main object of this paper is to design and to analyze UWB antennas with different textile materials. The optimum antenna has a compact size of 27 × 31 mm2 with a thickness of 1.75 mm. From all substrate materials, the antenna with ARLON-AD 320 show higher bandwidth and the antenna with FERRO A6M exhibits highest radiation efficiency. This proposed antenna can be exploited for personnel activities in remote areas and risky environments or in health monitoring purposes.
所述可穿戴天线是以纺织材料为衬底制成的平面天线。已经为可穿戴天线分配了几个频段,例如频率范围为2.4 GHz至5.8 GHz的工业科学医疗(ISM)天线和频率范围为3.1 GHz至10.6 GHz的超宽带(UWB)天线。近年来,超宽带天线因其传输功率要求低、数据速率高而得到广泛应用。设计可穿戴天线的主要挑战是实现具有高辐射效率的紧凑织物天线的更宽带宽。本文的主要目的是对不同纺织材料的超宽带天线进行设计和分析。最佳天线的紧凑尺寸为27 × 31 mm2,厚度为1.75 mm。在所有衬底材料中,ARLON-AD 320天线显示出更高的带宽,FERRO A6M天线显示出最高的辐射效率。这种拟议的天线可用于偏远地区和危险环境的人员活动或用于健康监测目的。
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引用次数: 4
State of Art on Possibility & Optimization of Solar PV-Wind Hybrid System 太阳能-光伏-风能混合系统的可能性与优化研究现状
M. Hasan, N. Chowdhury, C. A. Hossain, M. Longo
In 21st century, most of the energy comes from the traditional power plant which is run by fuel such as oil, coal, natural gas, etc. Rapidly world’s energy consumption rate is getting higher. Alternatively, our world is getting damaged by the huge amount of carbon emission, and resulting disastrous green-house effect. Keeping the hazards in the mind, scientists are focusing more into the renewable energy sources. Then again renewable energy sources have few disadvantages such as unpredictability and unavailability. To overcome these problems hybrid renewable energy are becoming more popular nowadays. The fundamental focal point of this paper is to review the modeling of a PV wind hybrid system along with grid connection. We have also discussed about different hybrid systems of renewable sources and conditions for optimization. This paper will give an idea about different software which are used for system optimization. To make the hybrid system economically viable and environment friendly, solar and wind hybrid energy have been established. This paper presents an evaluation on modeling, optimization, constraints and possibilities of hybrid solar PV system.
在21世纪,大部分的能源来自传统的发电厂,它是由燃料,如石油,煤炭,天然气等运行。世界能源消耗率正在迅速上升。另一方面,我们的世界正在被大量的碳排放所破坏,并产生灾难性的温室效应。考虑到这些危害,科学家们更加关注可再生能源。然而,可再生能源几乎没有不可预测性和不可获得性等缺点。为了克服这些问题,混合可再生能源正变得越来越受欢迎。本文的基本重点是综述了考虑并网的光伏-风力混合发电系统的建模。我们还讨论了不同的可再生能源混合系统和优化条件。本文将介绍用于系统优化的不同软件。为了使混合系统经济可行和环境友好,已经建立了太阳能和风能混合能源。本文对混合太阳能光伏系统的建模、优化、约束和可能性进行了评价。
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引用次数: 3
Design and Characterization of 2DEG Structure of a Gallium Nitride HEMT 氮化镓HEMT 2DEG结构的设计与表征
Jahid Chowdhury Choton, Afshana Begum, J. K. Saha
In this work we introduced 2DEG (2-Dimentional Electron Gas) structure of a Gallium Nitride (GaN) High Electron Mobility Transistor (HEMT) and compared it with a conventional structure. 2DEG structure is a heterostructure which is formed by combination of group III-IV elements. Our proposed GaN HEMT can be employed for high speed, high power, and high voltage applications. For high power applications we used SOD (Silicon-On-Diamond) technology to transfer heat to the substrate. This research paper will present design of two models using SILVACO TCAD device simulation software. One is the design of 2DEG structure and another one is the conventional structure of Aluminium Gallium Nitride/Gallium Nitride (AlGaN/GaN) HEMT.
本文介绍了氮化镓(GaN)高电子迁移率晶体管(HEMT)的2DEG(二维电子气体)结构,并将其与传统结构进行了比较。2DEG结构是由III-IV族元素结合形成的异质结构。我们提出的GaN HEMT可用于高速,高功率和高电压应用。对于高功率应用,我们使用SOD(金刚石上硅)技术将热量传递到衬底。本文将使用SILVACO TCAD器件仿真软件设计两种模型。一种是2DEG结构的设计,另一种是氮化镓/氮化镓(AlGaN/GaN) HEMT的常规结构。
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引用次数: 0
Designing and Implementation of Microcontroller Based Non-Invasive Health Monitoring System 基于单片机的无创健康监测系统的设计与实现
Nadia Nowshin, Pronoy Mazumder, Md. Asaduzzaman Soikot, Mollik Probal, Md. Umaer Qadir
Over the last few decades, design and implementation of non-invasive techniques for instant health condition measurement has become a huge demand. And in our day to day life, instant detection of heart rate, blood glucose level and body temperature has become a laidback task with the advancement of technology in medical science. And in this paper, we proposed a model based on microcontroller that can instantly detect human body temperature, heart beats per minute (BPM) and blood glucose level with a non-invasive technique. Biomedical equipment like Glucometer can only be used to detect blood glucose level through an invasive technique, digital thermometers can be used to detect only body temperature and detecting BPM requires costly blood pressure measurement kit. But in our model, we accumulated all the three mechanisms together on a single device to measure body temperature, BPM and blood glucose level instantly. This design is not only easy to use by a person with non-medical background but will also be cost-effective as well and it is accessible by low income households. From an environmental aspect, this eco-friendly design utilizes solar PV technology to charge the 6V battery that powers all the electronic parts associated with the device. The module includes a GSM based message system that allows the user to send a message expressing the health condition of the user to a physician. The entire setup is achieved via a control unit consisting of a groove ear clip, Arduino Uno, GSM module, buzzer, MQ2 gas sensor, LM35 temperature sensor and a 6V battery with a solar PV charging unit with a charge controller.
在过去的几十年里,设计和实施非侵入性技术来即时测量健康状况已经成为一个巨大的需求。在我们的日常生活中,随着医学技术的进步,即时检测心率、血糖水平和体温已经成为一项轻松的任务。在本文中,我们提出了一种基于微控制器的模型,该模型可以通过无创技术即时检测人体体温,每分钟心跳(BPM)和血糖水平。像血糖仪这样的生物医学设备只能通过侵入性技术来检测血糖水平,数字温度计只能用于检测体温,检测BPM需要昂贵的血压测量套件。但在我们的模型中,我们将所有三种机制都累积在一个设备上,以立即测量体温、BPM和血糖水平。这种设计不仅易于非医学背景的人使用,而且具有成本效益,低收入家庭也可以使用。从环境方面来看,这种环保设计利用太阳能光伏技术为6V电池充电,为设备相关的所有电子部件供电。该模块包括一个基于GSM的消息系统,该系统允许用户向医生发送表达用户健康状况的消息。整个设置是通过一个控制单元实现的,该控制单元由一个凹槽耳夹、Arduino Uno、GSM模块、蜂鸣器、MQ2气体传感器、LM35温度传感器和一个带有充电控制器的太阳能光伏充电单元的6V电池组成。
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引用次数: 10
Color Sorting Robotic Arm 分色机械臂
S. A. Khan, T. Anika, N. Sultana, F. Hossain, Mohammad Nasir Uddin
This paper represents the design and implementation of color sorting robotic arm which can detect the exact position of an object and can pick up the object to place it in designated place. This robotic arm is like human arm which can rotate according to its predefined angles. On the other hand, detecting an object on color basis is done by ultrasonic sensor & color sorting sensor. The heart of this project is microcontroller board ATMEGA328P which controls servo motors used in base, elbow, wrist and grip. The prototype of this project was made and used for picking red, green and blue color objects.
本文设计并实现了一种能准确检测物体位置并能将物体捡起放置到指定位置的分色机械臂。这种机械臂就像人的手臂,可以根据预先设定的角度旋转。另一方面,通过超声波传感器和颜色分选传感器来检测物体的颜色。这个项目的核心是微控制器板ATMEGA328P,它控制基座、肘部、手腕和手柄中使用的伺服电机。这个项目的原型是用来挑选红色、绿色和蓝色的物体。
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引用次数: 7
Review on Frequency Adjustment for Power Systems with Grid Connected Wind Farm 并网风电场电力系统频率调节研究进展
Kanij Ahmad, N. Mohammad, M. Quamruzzaman
Continues expanding of wind power harnessing demands an effective control system to improve quality power delivered from wind turbine to grid. A stable power system fully depends on the synchronization that means matching of frequency between the source of power generation and existing power grid. The prime objective of a wind farm controller is to ensure effective operation of the wind farm in any wind speed condition. Frequency deviation between the wind system and grid can challenge the well-built operation of a power system and can imbalance the synchronization between wind farm and grid. The strategy of frequency adjustment is developing time to time which starts from using droop controller based Induction generator to converter based Double-fed Induction generator. This paper summarizes an analytical study on various frequency adjustment mechanisms for a grid-connected wind farm.
风力发电利用的不断扩大需要一个有效的控制系统来提高从风力涡轮机到电网的电力质量。一个稳定的电力系统完全依赖于同步,即发电源与现有电网之间的频率匹配。风电场控制器的主要目标是保证风电场在任何风速条件下的有效运行。风电系统与电网之间的频率偏差会对电力系统的良好运行构成挑战,并会导致风电场与电网之间的同步不平衡。从采用下垂控制器的感应发电机到采用变换器的双馈感应发电机,频率调整策略不断发展。本文综述了对并网风电场各种频率调节机制的分析研究。
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引用次数: 11
ICREST 2019 Authors Index ICREST 2019作者索引
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引用次数: 0
Fin Field-Effect Transistor Circuit Fault Analysis Using Power, Current and Delay Information 基于功率、电流和延迟信息的翅片场效应晶体管电路故障分析
Md. Nabil-Al-Rafiq, Syed Ishmam Ahmad, M. Mamun, C. A. Hossain
Fin field effect transistors (FinFETs) are predicted to be supplant planar CMOS field effect transistors (FETs) in the upcoming generation because of their exceptional electrical characteristics. This paper provides a fault analysis for FinFET based circuits by observing average power, average current, branch current and delay of the circuit. We observed significant changes in the faulty circuit in terms of power, delay and current, which we compared with the fault-free circuit. All the consequences of the faulty cases and the fault-free cases were tabulated and distinguished.
翅片场效应晶体管(finfet)由于其优异的电学特性,预计将在下一代取代平面CMOS场效应晶体管(fet)。本文通过观察FinFET电路的平均功率、平均电流、支路电流和延时,对FinFET电路进行故障分析。我们观察到故障电路在功率、延迟和电流方面的显著变化,并将其与无故障电路进行比较。所有的错误情况和无错误情况的后果被制表和区分。
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引用次数: 0
A Machine Learning Approach to Identify Potential Customer Based on Purchase Behavior 基于购买行为识别潜在客户的机器学习方法
A. M. Choudhury, Prof. Dr. Kamruddin Nur
To lift the revenue boundary and stay ahead of the competitors it is important to understand customer’s purchase behavior. Different business industries proposed different policies to explore the potentiality of a customer based on statistical analysis. In this paper, we rather propose a machine learning approach to identify potential customers for a retail superstore. The paper proposed an engineered approach to classify potential customer, based on previously recorded purchase behavior. Using this classification as ground truth, we then apply machine learning algorithms to find a pattern to predict potential customers with an accuracy of 99.4%.
为了提高收入界限,保持领先于竞争对手,了解客户的购买行为是很重要的。在统计分析的基础上,不同的商业行业提出了不同的策略来挖掘客户的潜力。在本文中,我们提出了一种机器学习方法来识别零售超市的潜在客户。本文提出了一种基于先前记录的购买行为对潜在客户进行分类的工程方法。使用这种分类作为基础事实,然后我们应用机器学习算法找到一种模式来预测潜在客户,准确率为99.4%。
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引用次数: 15
期刊
2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)
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