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2020 International Conference on Engineering and Emerging Technologies (ICEET)最新文献

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A Comparative Study of Big Data Tools and Deployment PIatforms 大数据工具与部署平台的比较研究
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048209
Shamsa Riaz, M. Ashraf, Ahmer Siddiq
Big data now a davs this term becomes not unusual in it industries. As there is a massive quantity of records lies in the industry however there is nothing before massive records comes into image. An example of huge information is probably petabvtes (1,024terabvtes) or Exabvte’s (1,024 petabvtes) of information comprising of billions to trillions of facts of millions of people–all from modified causes (e.g. Internet, sales, client touch center, social media, cellular records and so on). The aim of this paper is to advise an optimized huge information platform implementation model through s/w configuration supported open supply.
如今,“大数据”这个词在it行业已经不稀奇了。由于有大量的记录存在于行业中,但是在大量记录进入图像之前什么都没有。海量信息的一个例子可能是pb级(1,024tb)或Exabvte级(1,024pb)的信息,其中包含数百万人的数十亿到数万亿的事实——所有这些都来自修改的原因(例如互联网、销售、客户联络中心、社交媒体、手机记录等)。本文旨在通过支持开放供应的s/w配置,提出一种优化的大型信息平台实现模式。
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引用次数: 5
Maximum Entropy based Urdu Named Entity Recognition 基于最大熵的乌尔都语命名实体识别
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048203
Fatima Riaz, Muhammad Waqas Anwar, Humaira Muqades
Urdu is widely spoken and a national language of Pakistan. The language covers huge variety from others languages as well therefore known as “Lashkari Zuban” (a mixture of different languages. We have performed experiments on Urdu Named Entity Recognition (NER) using model-based approach. NER is the task for the identification and classification of named entities from the given text therefore; name, place, organization, time/date, etc. The task has an important role for automated systems, information extraction, machine learning and artificial intelligence. A lot of work has been done for European languages but the task for South Asian languages is its development stage. We chose Urdu language as it is our national language but still there are a lot of challenges in Urdu language as the language as very limited resources and it is also free structured language. Our research has been conducted on IJCNLP-08 dataset which is IOB (inside Outside Beginning) tagged using maximum entropy model. Precision, Recall and F-measure are used to evaluate the accuracy of the model.
乌尔都语被广泛使用,是巴基斯坦的国家语言。该语言涵盖了来自其他语言的巨大多样性,因此被称为“Lashkari Zuban”(不同语言的混合物)。我们使用基于模型的方法对乌尔都语命名实体识别(NER)进行了实验。因此,NER是从给定文本中识别和分类命名实体的任务;姓名、地点、组织、时间/日期等。该任务对自动化系统、信息提取、机器学习和人工智能具有重要作用。欧洲语言已经做了很多工作,但南亚语言的任务是它的发展阶段。我们选择乌尔都语,因为它是我们的国家语言,但乌尔都语仍然有很多挑战,因为乌尔都语的资源非常有限,而且它也是一种免费的结构化语言。本研究在IJCNLP-08数据集上进行,该数据集采用最大熵模型标记IOB (inside Outside Beginning)。Precision, Recall和F-measure用于评估模型的准确性。
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引用次数: 0
IoT Based Automotive Driver Drowsiness Prediction System Using Heart Rate Variability and Galvanic Skin Response 基于物联网的汽车驾驶员困倦预测系统,使用心率变异性和皮肤电反应
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048193
Muhammad Atif Munir, Misal, Aazim Hassan, H. Tariq, Zubair Khalid
The fatigue of the driver is a major factor in multitudinous vehicle accidents. Therefore, the enervation of driver has been considered a paramount element to prevent the aforementioned problem. The research is instigated by studying the already existing techniques and their flaws. The study reveals that there is a tradeoff between cost and accuracy of the existing solutions. The research then focuses on an algorithm to cater the two prime drawbacks and finally proposes an IoT based wearable device solution which is affordable and provide desired outcomes.
驾驶员的疲劳是造成许多交通事故的一个主要因素。因此,驱动程序的退化被认为是防止上述问题的重要因素。这项研究是在研究现有技术及其缺陷的基础上进行的。研究表明,现有解决方案的成本和准确性之间存在权衡。然后,研究重点是一种算法来满足这两个主要缺点,最后提出了一种基于物联网的可穿戴设备解决方案,该解决方案价格合理,并提供预期的结果。
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引用次数: 3
ICEET 2020 Program Committee 2020年雅思考试项目委员会
Pub Date : 2020-02-01 DOI: 10.1109/iceet48479.2020.9048189
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引用次数: 0
Classification and Identification of Tomato Leaf Disease Using Deep Neural Network 基于深度神经网络的番茄叶病分类与鉴定
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048207
A. Batool, Syeda Basmah Hyder, Aymen Rahim, Namra Waheed, Muhammad Adeel Asghar, Fawad
Agricultural productivity is something on which the economy highly depends. In addition to this, plant diseases and pests are a major problem in the agricultural sector. Their detection at the initial stage is required to get rid of all the diseases as quickly as possible and to save ourselves from the destruction of crops. Different kinds of pesticides have been used to save the plants from diseases. Even after all these safety measures, it is observed that still, the disease keeps spreading in the field. Why is it SO? The problem here arises that in many cases we are not sure of the type of disease and so a wrong pesticide might have been used instead. Hence, it all goes in vain. This means the classification of disease is as important as the detection. In this paper, an advanced classification model was proposed which detects and classifies tomato leaf disease. A training dataset consisting of 450 images is used and image features are extracted using several models and kNN is applied for the classification. Classification accuracy of 76.1% is achieved using AlexNet model and it came out to be the highest in comparison to other models.
农业生产力是经济高度依赖的东西。除此之外,植物病虫害也是农业部门的一个主要问题。我们需要在最初阶段就发现这些疾病,以便尽快消除所有的疾病,并使我们免于对作物的破坏。人们使用了不同种类的杀虫剂来保护植物免受病害。即使采取了所有这些安全措施,据观察,该疾病仍在该领域继续传播。为什么会这样?这里出现的问题是,在许多情况下,我们不确定疾病的类型,因此可能使用了错误的农药。因此,一切都白费了。这意味着疾病的分类与检测同样重要。提出了一种用于番茄叶病检测和分类的高级分类模型。使用由450张图像组成的训练数据集,使用多个模型提取图像特征,并应用kNN进行分类。AlexNet模型的分类准确率达到76.1%,是其他模型中最高的。
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引用次数: 20
User-Friendly Demand Side Management for Smart Grid Network 智能电网用户友好型需求侧管理
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048212
Zeeshan Irshad, S. M. Haider Aejaz, U. Mustafa, Agha Muhammad Furqan Durrani, Faisal Hafeez
Diverse methods for demand side management (DSM) have been proposed for residential areas. These techniques are effectual in reducing electricity cost by scheduling the customer loads. However, waiting time of user appliances is increased. In this research work a user-friendly technique is developed by using heuristic algorithm to overcome user inconvenience. Genetic algorithm is used for scheduling a residential load in smart grid (SG) network. By using Genetic algorithm in real time pricing (RTP) environment, our main purpose is to minimize both peak to average ratio (PAR), cost of electricity and maximize comfort level in sense of user priority and preferences. To attain our purpose, we categorize appliances according to their duty cycle. We used renewable energy source (RES) to meet peak hours and better scheduling of loads. Simulation work shows that our user-friendly algorithm plays a vital role in load scheduling and reduction in PAR values.
住宅小区的需求侧管理(DSM)方法多种多样。这些技术通过调度客户负荷有效地降低了电力成本。但是,用户设备的等待时间增加了。本研究提出了一种利用启发式算法克服用户不方便的用户友好技术。采用遗传算法对智能电网中的居民负荷进行调度。通过在实时定价(RTP)环境中使用遗传算法,我们的主要目的是在用户优先级和偏好的意义上最小化峰值平均比(PAR)、电力成本和最大舒适度。为了达到我们的目的,我们根据电器的占空比对它们进行分类。我们使用可再生能源(RES)来满足高峰时段,并更好地调度负荷。仿真结果表明,该算法在负载调度和降低PAR值方面发挥了重要作用。
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引用次数: 2
Multiple-Criteria Policy Anaysis of Circular Debt in Pakistan 巴基斯坦循环债务的多标准政策分析
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048226
Musa Ali, A. B. Ahmed, Kafait Ullah, A. Khan
With the increase in electricity usage through developing countries, the financial crises has enveloped due to energy poverty. Issues such as circular debt are now a major factor that has a drastic impact on the economic condition of such countries. Power sector, being a major constituent of the economic structure of such countries, has a major role to play for changes in economic condition. This paper numerically evaluates the financial challenges in power sector and the inevitable shortcomings in policies with growing circular debt. The case study has been performed on Pakistan and solutions are proposed to mitigate this financial debt with comparative analysis of increasing share of renewables and inexpensive energy in electricity market.
随着发展中国家用电量的增加,由于能源匮乏,金融危机已经笼罩。诸如循环债务等问题现在是对这些国家的经济状况产生重大影响的一个主要因素。电力部门作为这些国家经济结构的主要组成部分,对经济状况的变化起着重要作用。本文对循环债务不断增长的电力部门面临的财政挑战和政策中不可避免的缺陷进行了数值评估。对巴基斯坦进行了案例研究,并通过对电力市场中可再生能源和廉价能源份额增加的比较分析,提出了减轻这一金融债务的解决方案。
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引用次数: 3
Comparing Two Types of Punches (Jab and Cross) On the Basis of Maximum Impact and Muscle Involvement 比较两种类型的拳击(刺拳和交叉拳)在最大冲击和肌肉参与的基础上
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048191
Hira Shoukat, Arfa Rabail, Madina Ikram Mirza, Shehla Inam, H. Toor, S. J. Khan
Boxing is a combat sport in which the participants perform different types of punches. In this study, a setup was designed to measure and compare the forces delivered by two types of punches i.e. jab and a cross performed by 10 healthy males and the activity of the muscles such as biceps and triceps. The forces were measured using force plate connected to PASCO CAPSTONE while the muscle activity was measured as Electromyography (EMG) on BIOPAC. The results indicated that both the jab and cross punch delivered approximately the same average force while considering the area parameter, the triceps were more involved in delivering the force when performing both types of punches as compared to biceps.
拳击是一项格斗运动,参与者表演不同类型的拳击。在这项研究中,设计了一个装置来测量和比较由10名健康男性进行的两种类型的拳击(即刺拳和交叉拳)和二头肌和三头肌等肌肉的活动所产生的力量。用PASCO CAPSTONE连接力板测量力,用BIOPAC肌电图(EMG)测量肌肉活动。结果表明,在考虑面积参数的情况下,刺拳和交叉拳的平均发力大致相同,三头肌比二头肌更能发力。
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引用次数: 1
Rural Electrification through an Optimized Off-grid Microgrid based on Biogas, Solar, and Hydro Power 通过基于沼气、太阳能和水力发电的优化离网微电网实现农村电气化
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048222
M. S. Aziz, M. Khan, Aqib Khan, Faisal Nawaz, M. Imran, A. Siddique
Renewable energy is the only solution to the problem of depleting environmental conditions and energy shortage. Animal manure is a major output waste of rural areas and it can be converted into biogas through anaerobic digestion. Biogas is mainly CH4 which is combustible and can be used as fuel. In Pakistan, most of the rural population is relying on agriculture and cattle farming. Agriculture gives us hydro potential and cattle farming gives us biogas. And both of these resources, if used properly, can drastically improve the socioeconomic condition of rural areas. The sub-rural tehsil of Division Bahawalpur, “Mandi Yazman” is considered as a study area with the domestic load. This paper gives a techno-economic analysis of microgrid based on biogas, solar and hydropower to find out the best possible combination for lowest COE (cost of energy) and NPC (net present cost) according to the available resources in the proposed site.
可再生能源是解决环境恶化和能源短缺问题的唯一出路。动物粪便是农村地区的主要产出废物,可通过厌氧消化转化为沼气。沼气的主要成分是甲烷,甲烷可燃,可以用作燃料。在巴基斯坦,大多数农村人口依靠农业和畜牧业为生。农业为我们提供水力,养牛为我们提供沼气。如果使用得当,这两种资源都可以极大地改善农村地区的社会经济状况。“Mandi Yazman”地区Bahawalpur的郊区被认为是一个具有家庭负荷的研究区域。本文对基于沼气、太阳能和水电的微电网进行了技术经济分析,根据拟建站点的可用资源,找出最低能源成本(COE)和净当前成本(NPC)的最佳组合。
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引用次数: 5
Design and Development of Control System for Unmanned Ground Vehicle and its Manipulator 无人地面车辆及其机械手控制系统的设计与开发
Pub Date : 2020-02-01 DOI: 10.1109/ICEET48479.2020.9048236
U. F. Ahmed, Saif-ur-Rehman, Zia Hameed, Faizan Ahmed, Terence Anthony U’Chong, M. Asif
An unmanned ground vehicle (UGV) and its manipulator have been designed in order, at optimum size and best possible efficiency. The UGV was wirelessly controlled and has both, manual and semi-autonomous capabilities. MATLAB GUI has been used to control the functions of UGV. The manipulator has 6 degrees of freedom and a 200g payload capability. The UGV also has the ability to drag a load up to 4kg. An IP Camera has been used as feedback, though which semi-autonomous control has been achieved. A search function has been created which utilizes image-processing techniques to find the desired object (red ball) and then with the help of sonar, navigate the UGV and positions it, such that the manipulator can pick the desired object.
对无人地面车辆及其操纵臂进行了有序、尺寸最优、效率最高的设计。UGV是无线控制的,具有手动和半自主功能。利用MATLAB图形化界面实现了UGV的功能控制。机械手有6个自由度和200克有效载荷能力。UGV也有能力拖动高达4公斤的负载。一个IP摄像头被用作反馈,尽管它已经实现了半自主控制。建立了一个搜索功能,利用图像处理技术找到所需的物体(红球),然后在声纳的帮助下,对UGV进行导航和定位,使机械手能够选择所需的物体。
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引用次数: 2
期刊
2020 International Conference on Engineering and Emerging Technologies (ICEET)
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