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

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Toddler Tutelage Device 幼儿监护装置
S. Anitha Jebaman, R. Abhinaya, B. Abitha, T. Thanga Anushya
Life of toddlers has become more crucial. Little youngsters are affected by many imperilments in the residence. As of today nuclear family parents safeguard their children through their travail. As a working class they agree on caretaker to govern their child activities in home but this lacks in security aspects. In order to provide security to the toddlers many scientific inventions are invented, but the rescuing of children from hazards inside bound is tedious process. The main goal of this paper is to provide complete security system to children by wearable band that embedded with sensors. The purpose of this device is to help parents monitor children with ease. Hence system provide complete secured environment to children and stress free life to parents. At the moment there are many wearable in the market which help track the daily activity of children and also help find the child using Bluetooth services present on the device. Bluetooth range is much short and become unreliable communication between parent and children. System provides reliable transmission between embedded system and server. Proximity sensor used to object that the child approach as sense by system and transmit to server system with buzzer and notification. Thus sensors embedded in system used to monitor activity of children and keeping track of location and send accurate reports to parents. Emergency, the systems divert children by voice recognition, indicated by alert signal to the parents.
幼儿的生活变得越来越重要。年幼的孩子受到住宅中许多危险因素的影响。直到今天,核心家庭的父母通过他们的辛苦来保护他们的孩子。作为工人阶级,他们同意让保姆来管理他们的孩子在家里的活动,但这在安全方面缺乏保障。为了给学步儿童提供安全,人们发明了许多科学发明,但将儿童从危险中解救出来却是一个繁琐的过程。本文的主要目标是通过嵌入传感器的可穿戴手环为儿童提供完整的安全系统。该设备的目的是帮助家长轻松地监控孩子。因此,系统为孩子提供了完全安全的环境,为父母提供了无压力的生活。目前,市场上有许多可穿戴设备可以帮助跟踪儿童的日常活动,并通过设备上的蓝牙服务帮助找到孩子。蓝牙的范围很短,成为父母和孩子之间不可靠的通信。系统提供了嵌入式系统与服务器之间的可靠传输。接近传感器用于将子对象接近作为系统感知,并通过蜂鸣器和通知发送到服务器系统。因此,系统中嵌入的传感器用于监控孩子的活动,跟踪位置并向父母发送准确的报告。紧急情况下,系统通过语音识别转移儿童,并向父母发出警报信号。
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引用次数: 2
Implementation And Analysis Of Arima Model And Kalman Filter For Weather Forcasting in Spark Computing Environment 星火计算环境下天气预报Arima模型和卡尔曼滤波的实现与分析
Rishabh Dhoot, Saumay Agrawal, M. Shushil Kumar
In this paper, Role of SPARK in weather Forecasting is analysed by doing a comparative analysis for weather forecasting with and without the use of Spark cluster for ARIMA model and Kalman Filter. The values predicted by the above models is given to XGBoost Classifier to classify the weather condition. Last 20 years of data has been chosen from kaggle. Initially pre-processing is done and three attributes are narrowed down, namely humidity, temperature and dew point along with its timestamp. Weather Forecasting is done using the above models followed by XGBoost based on these three attributes. The predicted values of weather forecasting have been compared with actual values in the dataset for determining the quality of the models. To ensure the quality of prediction by the model in real-time, second order differencing method is introduced in Kalman filter for forecasting. The graphical analysis has been performed to analyse the computational time and quality of the models.
本文通过对ARIMA模型和卡尔曼滤波中使用SPARK聚类和不使用SPARK聚类的天气预报进行对比分析,分析了SPARK在天气预报中的作用。将上述模型预测的值提供给XGBoost分类器进行天气状况分类。近20年的数据来自kaggle。首先进行预处理,并缩小三个属性,即湿度,温度和露点及其时间戳。天气预报是使用上述模型完成的,然后是基于这三个属性的XGBoost。天气预报的预测值已与数据集中的实际值进行了比较,以确定模式的质量。为了保证模型的实时预测质量,在卡尔曼滤波中引入了二阶差分法进行预测。通过图形分析分析了模型的计算时间和质量。
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引用次数: 6
Charging Commotion Cure 充电骚动治疗
S. Aishvarya, D. Charu, S. Haripriya, T. Rani
“Smarter our phone sooner it runs out of charge” In recent days android phones are being very favorable for human as they perform many tasks without manual support. But these android phones are required to be accessible at any case even when they are connected to charger. This paper focuses on disabling such grief thoughts as the charger connection is disabled internally by Sensors and tends the user to manually remove the charger connection via application. This paper also gives a clear idea about the working of Sensor and how and also describes the features, working of the application. As all the android phone does not end up in explosion, only certain do hence we also discuss the reason behind the explosion.
最近几天,安卓手机对人类非常有利,因为它们可以在没有人工支持的情况下执行许多任务。但这些安卓手机需要在任何情况下都可以使用,即使是在连接充电器的情况下。本文的重点是禁用这种悲伤的想法,因为充电器连接被传感器内部禁用,并倾向于用户通过应用程序手动移除充电器连接。本文还对传感器的工作原理和工作原理进行了阐述,并介绍了该应用的特点和工作原理。由于并非所有的安卓手机都以爆炸告终,只有某些手机发生了爆炸,因此我们也讨论了爆炸背后的原因。
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引用次数: 0
Consumers’ Intention to Use Mobile Internet Services: A Sri Lankan Study 消费者使用移动互联网服务的意向:一项斯里兰卡研究
S. Samsudeen, Gunapalan Selvaratnam
The main intention of this study was to delineate the factors that predict consumers’ intention to use mobile Internet services in Sri Lanka. Careful review of existing literature on area of research was conducted to find factors having impact on consumers’ behavioural intention; Performance Expectancy, Effort Expectancy, Awareness, Hedonic Motivation and Social Influence. These variables were proposed in the Conceptual Framework of this study. Data were collected conveniently by publishing the online questionnaire on Facebook and WhatsApp groups among various Internet users in Sri Lanka. Structural Equation Modelling was employed to test the proposed model and hypotheses using IBM’s AMOS software. The results showed that all the conceptualized factors had statistically significant influence on consumers’ behavioural intention to use mobile Internet services. The result of the study is supposed to make contribution by beaconing the practitioners the vital facets that would appeal the consideration of consumers in Sri Lanka to use mobile Internet services.
本研究的主要目的是描述预测斯里兰卡消费者使用移动互联网服务意愿的因素。仔细回顾研究领域的现有文献,找出影响消费者行为意愿的因素;表现期望、努力期望、意识、享乐动机与社会影响。这些变量是在本研究的概念框架中提出的。通过在斯里兰卡的各种互联网用户中发布Facebook和WhatsApp群组的在线问卷,方便地收集数据。利用IBM的AMOS软件,采用结构方程模型对提出的模型和假设进行检验。结果表明,所有概念化因素对消费者使用移动互联网服务的行为意愿均有统计学显著影响。该研究的结果应该是做出贡献的信标从业人员的重要方面,将呼吁考虑在斯里兰卡的消费者使用移动互联网服务。
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引用次数: 1
Patronization for Orphans and Adoption Using Android Application 使用Android应用程序为孤儿提供资助和收养
B. Kamala, B. Rakshana, B. Reshma, B. Deivasree
All around the world, every 30 seconds two children become orphans. Almost there are more than 100 million orphans worldwide. In Asia alone there may be 65 million orphans. They are hungry, afraid and lonely. Their main issues are lack of foods and clothes for their daily usage and lack of education and money. Here, we are introducing an android application which will defeat these issues in an easy manner as well as quickly without spending more time. The notion of this paper is to support orphans of different orphanages by the people who wish to contribute the children and adopting children through online by using our android application. They can help orphans in the orphanages by contributing foods and clothes to the particular orphanage they wish, through online. The people who wish to adopt children can use this application to see the children’s details with their photos in different orphanages and they can choose the child they like and other formalities is done by visiting that particular orphanage where the chosen orphan is. Fund transaction is also made by our application. This paper will be beneficial for the orphans. The weary persons can make use of this application for contributing orphans and adopting children. This android application not only indulges in the process of adopting the orphans and providing shelter but also impulses their life by donating food, clothes and money.
全世界每30秒就有两个孩子成为孤儿。全世界几乎有1亿多孤儿。仅在亚洲就可能有6500万孤儿。他们又饿又害怕又孤独。他们的主要问题是缺乏日常生活所需的食物和衣服,缺乏教育和金钱。在这里,我们将介绍一个android应用程序,它将以一种简单的方式解决这些问题,而且不需要花费更多的时间。本文的想法是通过使用我们的android应用程序,通过在线捐赠孩子和收养孩子的人来支持不同孤儿院的孤儿。他们可以通过在线向他们希望的孤儿院捐赠食物和衣服来帮助孤儿院的孤儿。希望收养孩子的人可以使用这个应用程序来查看孩子在不同孤儿院的详细信息和他们的照片,他们可以选择他们喜欢的孩子,其他手续通过访问所选孤儿所在的特定孤儿院来完成。资金交易也通过我们的申请进行。这篇论文对孤儿是有益的。困难者可使用此应用程序捐助孤儿和收养儿童。这款机器人应用程序不仅沉浸在收养孤儿和提供住所的过程中,还通过捐赠食物、衣服和金钱来推动他们的生活。
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引用次数: 1
Fabrication of E Nose Sensor for Detection of Butane Gas by using Nano Porous Silicon 利用纳米多孔硅制备丁烷气体E鼻传感器
V. Selvakumar, L. Sujatha, N. Shivaanivarsha, C. Gayathri
This work reports the manufacture of a Nano porous silicon (NPS) gas sensor and its butane detection mechanism. The sensor’s resistance changes with the gas concentration. This transduction mechanism has been tested using a gas injection precalibration method. Nanopores were developed using HF- based wet electrochemical etching on p- type substrates. The presence of nanoporeson silicon has been confirmed and its morphology has been studied by SEM imagery and its uniform distribution has been demonstrated. Impedance spectroscopy was performed at room temperature and increased grain boundary resistance was observed for a range of 2–6 ppm of butane gas.
本文报道了一种纳米多孔硅(NPS)气体传感器的制备及其丁烷检测机理。传感器的电阻随气体浓度的变化而变化。这种转导机制已经使用注气预校准方法进行了测试。采用HF基湿法电化学刻蚀技术在p型衬底上制备了纳米孔。证实了纳米硅的存在,并通过扫描电镜对其形貌进行了研究,证明了其均匀分布。在室温下进行阻抗谱分析,观察到丁烷气体在2-6 ppm范围内晶界电阻增加。
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引用次数: 1
Analysis Of Phase Shifter In Analog And Digital Domain 模拟和数字域移相器分析
S. A. Abbas, K. Priya, M. Lavanya
Efficient 90° phase shifters has been implemented in both analog and digital domain. Analog phase shifters has been designed by resistor and simulated using multisim software. Digital phase shifters has been implemented in two ways such as, traditional method (without CSD representation) and conventional method (with CSD representation). The comparative analysis of both traditional and conventional method has been presented here. Comparison of phase shifters has been analyzed in both Analog and Digital domain. It has been also made in terms of timing analysis, area occupation and shift delay.
高效的90°移相器已经在模拟和数字领域实现。采用电阻器设计了模拟移相器,并用multisim软件进行了仿真。数字移相器有两种实现方式,即传统方法(不带CSD表示)和常规方法(带CSD表示)。本文对传统方法和常规方法进行了对比分析。对移相器在模拟域和数字域的性能进行了比较分析。并从时序分析、面积占用、移位延时等方面进行了分析。
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引用次数: 1
A Systematic analysis of Data-intensive MOOCs and their key Challenges 数据密集型mooc及其主要挑战的系统分析
R. Nisha, R. Radha
Big Data blends modern technologies with numerous data management techniques to handle a wide variety of concerns that occur when operating with data of huge volume, variety and velocity. Big data deals with complex semi-structured and unstructured data from several sources and formats which include Social Media content in free form, data from E-commerce sites, Weather forecasting statistics, Clinical Diagnosis, Share Market Transactions and Smart Computing Environments. In the same way, big data offers substantial prospects in the discipline of Education, E- Learning and Learning Analytics. Application of big data analytics in E-Learning helps to assess the quality of Teaching, Development of Curriculum, predict learning outcomes, Career Development and Readiness, Attrition Risks and Feedback Analysis. The Massive Open Online Courses (MOOCs) have produced a major influence on E-Learning with the availability of Live and pre-recorded Lectures, Easy-to-learn Tutorials, Novel Assessment Methodologies, Quick feedback and results. In this paper, we present the various Technologies that formulate the MOOCs and address the learning paradigms and key challenges.
大数据将现代技术与众多数据管理技术相结合,以处理在处理大量、种类和速度巨大的数据时发生的各种各样的问题。大数据处理来自多种来源和格式的复杂半结构化和非结构化数据,包括自由形式的社交媒体内容、电子商务网站数据、天气预报统计、临床诊断、股票市场交易和智能计算环境。同样,大数据在教育、电子学习和学习分析等领域也提供了可观的前景。在E-Learning中应用大数据分析有助于评估教学质量、课程开发、预测学习成果、职业发展和准备、流失风险和反馈分析。大规模在线开放课程(MOOCs)对电子学习产生了重大影响,它提供了直播和预先录制的讲座、易于学习的教程、新颖的评估方法、快速的反馈和结果。在本文中,我们介绍了构建mooc的各种技术,并解决了学习范式和主要挑战。
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引用次数: 1
Luminaire-aware dynamic illuminationrole assignment scheme fora safe and greensmart city 安全绿色智慧城市的灯具感知动态照明角色分配方案
Titus Issac, S. Silas, E. Rajsingh
Devices are becoming smarter with the incorporation of sophisticated sensors, micro controllers and communication devices. A smart city integrates its core services using smart devices. The outdoor lighting application is one of the key core services, as it is a high power demand application. With the advent of sophisticated, smart luminaries, the need for an energy efficient, green smart city and adequately well-lit safe smart city has been much awaited. A safe green smart city is achieved by meticulously assigning illumination roles to every individual luminaries via a dynamic role assignment scheme. The proposed dynamic scheme assigns the illuminating task to the luminaries based on the evaluation criteria such as luminaire life span, illumination level, temperature, peak hours and critical zones. The objectives of the work is to achieve a green smart city by reducing power consumption and provide a safer smart city with adequate illumination. The proposed dynamic role assignment has been compared with the conventional lighting methods and static role assignment algorithm (COIRAS). The analyses reveal the proposed dynamic role assignment scheme achieve the objectives for a safe and green smart city.
随着复杂的传感器、微控制器和通信设备的结合,设备变得越来越智能。智慧城市是通过智能设备整合城市核心业务的城市。户外照明应用是关键的核心服务之一,因为它是一个高功率需求的应用。随着精密智能灯具的出现,人们对节能、绿色智慧城市和充足照明的安全智慧城市的需求已经期待已久。通过动态角色分配方案,为每个灯具精心分配照明角色,实现安全的绿色智慧城市。该动态方案根据灯具寿命、照度、温度、峰值时数和临界区域等评价标准对灯具分配照明任务。这项工作的目标是通过减少电力消耗来实现绿色智慧城市,并提供一个更安全、照明充足的智慧城市。并与传统照明方法和静态角色分配算法(COIRAS)进行了比较。分析表明,所提出的动态角色分配方案实现了构建安全绿色智慧城市的目标。
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引用次数: 3
Using hybrid Data Mining algorithm for Analysing road accidents Data Set 基于混合数据挖掘算法的道路交通事故数据集分析
G. Parathasarathy, T. Soumya, Y. Das, J. Saravanakumar, A. Merjora
Nowadays, road safety has become an important issue in the urban areas due to the high vehicle density. Road safety can be improved by reducing the accidents. Road accident causes traffic hindrance which has become intolerable especially in big-cities. Therefore, analyzing the road accidents accurately can help to solve the problem of traffic crashes. In our project, we propose a hybrid model that combines both K-Nearest Neighbor and Support Vector Machines algorithm for road accident analysis and prediction of accident type, which is based on the hierarchical-learning approach. The accident types are classified as crash, drunk & drive, fire and skid. Our proposed model uses the combination of both KNN and SVM algorithms with the historical datasets collected from UCI Repository. This analyzed data will be more useful to suggest better safety measures to avoid traffic crashes. We experimentally analyze the performance of both KNN and SVM algorithms using R programming with large accident datasets. Results show that our hybrid model enhances the accuracy of road accident analysis.
如今,由于车辆密度高,道路安全已成为城市地区的一个重要问题。道路安全可以通过减少事故来改善。道路交通事故造成的交通障碍已经变得无法忍受,特别是在大城市。因此,准确分析道路交通事故有助于解决交通事故问题。在我们的项目中,我们提出了一种基于分层学习方法的混合模型,该模型结合了k -最近邻和支持向量机算法,用于道路事故分析和事故类型预测。事故类型分为撞车、酒后驾车、火灾和打滑。我们提出的模型将KNN和SVM算法与从UCI Repository收集的历史数据集相结合。这些经过分析的数据将更有助于提出更好的安全措施,以避免交通事故。我们使用R编程在大型事故数据集上实验分析了KNN和SVM算法的性能。结果表明,该混合模型提高了道路交通事故分析的准确性。
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引用次数: 3
期刊
2019 3rd International Conference on Computing and Communications Technologies (ICCCT)
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