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[ICMRSISIIT 2019 Front matter] [icmrsiisiit 2019前沿事项]
Pub Date : 2019-12-20 DOI: 10.1109/icmrsisiit46373.2020.9405942
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引用次数: 0
Nature-Inspired Search Method For Location Optimization of Smart Health Care System 基于自然的智能医疗系统位置优化搜索方法
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405900
Emmanuel Freeman, I. E. Agbehadji, R. Millham
This study is an ongoing work to develop a smart mobile health care system for the delivery of health care services to the aged. In this paper, we focus on developing a mapping function algorithm that matches the location of a device used by nurses to that of a patient, especially the aged, to find the optimal distance and direction. After a patient has requested health care service, the algorithm generates random location data, then computes the distances and direction within a geographical location. The mapping function algorithm was inspired by the behaviour of the kestrel bird. The proposed algorithm was evaluated by testing with pre-determined and random location data on latitude and longitudinal data. The experiment results demonstrate that the mapping function was able to find the optimal distance between two different locations.
本研究是一项正在进行的工作,以开发一个智能移动医疗保健系统,为老年人提供医疗保健服务。在本文中,我们重点开发了一种映射函数算法,该算法将护士使用的设备的位置与患者(特别是老年人)的位置相匹配,以找到最佳距离和方向。该算法在患者提出医疗服务请求后,生成随机位置数据,然后计算地理位置内的距离和方向。映射函数算法的灵感来自于红隼的行为。通过对纬度和纵向数据的预先确定和随机位置数据进行测试,对该算法进行了评估。实验结果表明,该映射函数能够找到两个不同位置之间的最佳距离。
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引用次数: 0
Survey of Available Datasets for Designing Task Oriented Dialogue Agents 面向任务的对话代理设计的可用数据集综述
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405898
Manisha Thakkar, N. Pise
Dialogue Systems are increasingly popular with the recent advances in neural approaches and NLP applied to conversational AI. Alexa, Siri, Cortana, Google Mini are handily used by many users to do small tasks and control their home appliances in hands free style. Enterprises are also deploying 24 × 7 dialogue agent in place of traditional customer support to increase user engagement and improve their processes. Dialogue Systems are also augmented with Robots to improve human-robot dialogues.Conversational Agents are classified into two main types: Social bots/Chitchat bots and Task Oriented Dialogue Agents. Social bots aim to engage user with unstructured human conversations. These dialogue agents don’t have fixed aim to complete and focus more on carrying out open domain conversations. For example ALIZA, Microsoft XiaoIce etcOn the other hand, Task oriented dialogue agents help user to accomplish certain tasks in specific domains like Restaurant booking, Flight reservation, customer support etc. These are popularly used in controlling home appliances and carrying out simple tasks by users in day to day life. Siri, Alexa, Google Mini, Cortana are task oriented dialogue agents. There is increasing interest in building task completion dialogue agents that span over multiple sub-domains to accomplish a complex user goal.With the increasing acceptance of Dialogue Agents, there is need of high-quality, large-scale dialogue datasets for better performance of task oriented dialogue agent in changing environment. Neural approaches are applied to design intelligent dialogue agents frequently which require very large datasets. However, there are following challenges while building intelligent task completion dialogue systems. Firstly, there are a lot of datasets available for chit-chat bots but they are not directly relevant to task oriented systems. Secondly, to scale out the system to new domains with limited in-domain data.In this paper, we studied different data collection methods, important characteristics of dialogue datasets and their potential uses. This paper presents a survey of publicly available datasets and their applicability for designing modern task - oriented dialogue agents.
随着神经方法和NLP应用于会话人工智能的最新进展,对话系统越来越受欢迎。Alexa, Siri, Cortana,谷歌Mini被许多用户方便地使用来完成小任务,并以自由的方式控制他们的家用电器。企业也在部署24 × 7的对话代理来代替传统的客户支持,以增加用户参与度并改进他们的流程。对话系统也增加了机器人,以改善人机对话。会话代理分为两种主要类型:社交机器人/聊天机器人和面向任务的对话代理。社交机器人旨在与用户进行非结构化的人类对话。这些对话代理没有固定的目标来完成,而是更专注于执行开放领域的对话。例如ALIZA, Microsoft XiaoIce等,另一方面,面向任务的对话代理帮助用户完成特定领域的某些任务,如餐厅预订,机票预订,客户支持等。在日常生活中,它们被广泛用于控制家用电器和执行简单的任务。Siri、Alexa、b谷歌Mini、Cortana都是面向任务的对话代理。人们对构建跨多个子域的任务完成对话代理来完成复杂的用户目标越来越感兴趣。随着人们对对话代理的接受程度越来越高,需要高质量、大规模的对话数据集来提高面向任务的对话代理在变化环境中的性能。神经网络方法经常应用于智能对话代理的设计,这需要非常大的数据集。然而,在构建智能任务完成对话系统时,存在以下挑战。首先,聊天机器人有很多可用的数据集,但它们与面向任务的系统没有直接关系。其次,将系统扩展到具有有限域内数据的新域。在本文中,我们研究了不同的数据收集方法,对话数据集的重要特征及其潜在用途。本文介绍了公共可用数据集及其在设计现代面向任务的对话代理中的适用性。
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引用次数: 0
A Monte Carlo Comparison of Asymmetric Price Transmission Linear Models Under the Effect of Difference in Asymmetric Adjustment Parameters using rMDL, gMDL, nMDL, eMDL, AIC & BIC 基于rMDL、gMDL、nMDL、eMDL、AIC和BIC的非对称调整参数差异影响下的非对称价格传导线性模型的蒙特卡罗比较
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405827
I. K. Amponsah, H. Acquah
The effect of asymmetric adjustment on the ability of variants of minimum description length criteria was investigated in their ability to recover the true Data Generating Process. A Monte Carlo method was employed within the linear Asymmetric Price Transmission modelling framework. Results indicated empirically that application of a more complex model or increase in the number of asymmetric adjustment parameters improves the recovery of the true data generating process by the model selection methods. Minimum Description Length criteria are very reliable and useful in Asymmetric Price Transmission modelling. Researchers should always aim at stronger levels of asymmetry to achieve optimal Asymmetric Price Transmission linear models.
研究了非对称调整对最小描述长度标准变体恢复真实数据生成过程能力的影响。在线性非对称价格传导模型框架内采用蒙特卡罗方法。实证结果表明,采用更复杂的模型或增加非对称调整参数的数量,可以提高模型选择方法对真实数据生成过程的恢复。最小描述长度准则在非对称价格传输模型中是非常可靠和有用的。为了获得最优的非对称价格传导线性模型,研究人员应该始终以更强的不对称水平为目标。
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引用次数: 0
A Novel Exploitation of Errors in RRNS Architecture 一种新的RRNS体系结构误差利用方法
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405850
Y. Afriyie
Residue Number System (RNS) is an unweighted number system that symbolizes large integers with smaller numbers. It has the ability to perform operations such as addition and multiplication in parallel. Because of this property, RNS is extensively used in communication, Finite Impulse Response (FIR), cryptography, and signal processing devices. The transfer of data in digital channel is very important for some critical applications where accuracy is very important. This work proposes a novel algorithm that is premised on the Hamming Distance (HD) and one of the reverse conversion methods, which is, the Chinese Remainder Theorem (CRT) and as a joint technique for detecting and correcting multiple bit errors in RNS. The algorithm provides more efficient technique that improves on the hardware size and increases the processing speed with less iterations when compared with other state-of-the-art schemes. An area-delay comparison analysis done and compared with other known schemes in this work revealed the effectiveness of the proposed scheme in terms of area and delay requirements.
余数系统(RNS)是一种用小数表示大整数的无加权数系统。它具有并行执行加法和乘法等操作的能力。由于这种特性,RNS被广泛应用于通信、有限脉冲响应(FIR)、密码学和信号处理设备中。数字信道中的数据传输对于一些精度要求很高的关键应用是非常重要的。本文提出了一种以汉明距离(HD)和一种反向转换方法——中国剩余定理(CRT)为前提的新算法,作为RNS中多比特错误检测和纠错的联合技术。与其他最先进的方案相比,该算法提供了更有效的技术,改进了硬件尺寸,并以更少的迭代提高了处理速度。通过与其他已知方案的面积延迟比较分析,揭示了该方案在面积和延迟要求方面的有效性。
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引用次数: 1
Gender-inspired Facial Age Recognition based on Reflexivity, Antisymmetry and Transitivity 基于反身性、反对称性和及物性的性别启发面部年龄识别
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405924
Ebenezer Nii Ayi Hammond, Kwadwo Kusi
We propose an age recognition method that compares a pair of image instances from the same gender for the three conditions of reflexivity, antisymmetry, and transitivity corresponding to older, similar, and younger than respectively. The approach uses a small number of reference set to address performance issues due to the lack of datasets for age recognition. Experimental results demonstrate that the use of a few optimally selected class references for the comparison resulted in a dramatic improvement on the baseline. Thus, with a Mean Absolute Error (MAE) of 4.07 and Cumulative score (CS) of 93.87% on the adience dataset, our proposal shows superiority among other gender-inspired age recognition proposals.
我们提出了一种年龄识别方法,该方法对来自同一性别的一对图像实例进行了反身性、反对称性和及物性三个条件的比较,分别对应于年长、相似和年轻。该方法使用少量的参考集来解决由于缺乏年龄识别数据集而导致的性能问题。实验结果表明,使用几个最佳选择的类参考进行比较导致了基线上的显着改善。因此,我们的建议在观众数据集上的平均绝对误差(MAE)为4.07,累积分数(CS)为93.87%,在其他基于性别的年龄识别建议中表现出优势。
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引用次数: 1
A Monte Carlo Comparison of rMDL, gMDL, eMDL, nMDL, AIC and BIC Under the Effect of Stochastic Variance for Asymmetric Price Transmission Linear Models 随机方差影响下非对称价格传导线性模型rMDL、gMDL、eMDL、nMDL、AIC和BIC的蒙特卡罗比较
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405933
I. K. Amponsah, H. Acquah, Nathaniel K. Howard
Stochastic variance or amount of noise has influenced Information-Theoretic Fit Criteria’s (ITFC) ability to recover the true DGP or select the optimal Asymmetric Price Transmission (APT) linear model among candidate ones. This study introduces variants of the Minimum Description Length criterion to APT modelling framework through a 1000 Monte Carlo simulations using a sample of 150 and compares them to the performances of widely used AIC and BIC. Results indicate that the performance of all criteria deteriorates with increasing noise across both standard and complex APT models. At higher noise level (3), eMDL and gMDL are alternatives to AIC which recovered strongest while nMDL is superior to all other criteria in recovering the true standard and complex models, respectively. The eMDL and gMDL outperformed all criteria (standard models) whilst nMDL and rMDL also outperformed all criteria (complex models) when the noise level was moderate (2). Lastly, at a lower noise level (1), rMDL was comparable to BIC which recovered strongest whiles nMDL is an alternative to AIC which was superior for the standard and complex models, respectively. Lower noise improves the performance of model selection methods in their ability to recover the true data generating process.
随机方差或噪声量会影响信息论拟合准则(ITFC)在候选模型中恢复真实DGP或选择最优不对称价格传导(APT)线性模型的能力。本研究通过使用150个样本的1000个蒙特卡罗模拟,将最小描述长度标准的变体引入APT建模框架,并将其与广泛使用的AIC和BIC的性能进行比较。结果表明,在标准和复杂APT模型中,所有标准的性能都随着噪声的增加而恶化。在较高的噪声水平(3)下,eMDL和gMDL是AIC恢复最强的替代方法,而nMDL在恢复真实标准模型和复杂模型方面分别优于所有其他标准。eMDL和gMDL优于所有标准(标准模型),而nMDL和rMDL在噪声水平适中时也优于所有标准(复杂模型)(2)。最后,在较低的噪声水平(1)下,rMDL与BIC相当,恢复最强,而nMDL是AIC的替代品,分别优于标准模型和复杂模型。低噪声提高了模型选择方法恢复真实数据生成过程的能力。
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引用次数: 1
Online Learning Engagement and Satisfaction of First Year Undergraduate Students in a Blended Course 混合课程一年级本科生在线学习的参与度和满意度
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405837
E. Gyimah
The adoption of blended learning as an innovative approach to teaching and learning in higher education has increased in today’s 21st century classroom. And with the diversity of learners and their different learning styles, instructors are constantly looking at ways to engage learners in and outside of the classroom.The online aspect of blended learning provides learners with the flexibility and ease of learning anytime and anywhere as against face-to-face learning, thus leading to learner satisfaction.This paper assessed how online learning has enhanced students’ learning engagement and learner satisfaction in a blended course. The results showed that blended learning enhanced student engagement and that the students were satisfied with the blended course. Although a few students commented that unstable internet access was a challenge, overall, the blended learning experience was positive.
在21世纪的今天,高等教育越来越多地采用混合式学习作为一种创新的教学方法。由于学习者的多样性和他们不同的学习方式,教师们一直在寻找在课堂内外吸引学习者的方法。与面对面学习相比,混合式学习的在线方面为学习者提供了随时随地学习的灵活性和便利性,从而提高了学习者的满意度。本文评估了在线学习如何在混合课程中提高学生的学习参与度和学习者满意度。结果表明,混合学习提高了学生的参与度,学生对混合课程感到满意。虽然有一些学生评论说,不稳定的互联网接入是一个挑战,但总体而言,混合式学习体验是积极的。
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引用次数: 1
Assessment of High Network Latency on Broadband Powerline Communication 宽带电力线通信中高网络时延的评估
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405851
Owusu Agyeman Antwi, Albert Osei Owusu, Haruna Mohammed, A. Acakpovi, Leslie Mantel Donkor
This paper focuses on the evaluation of broadband power line communication taking in terms of data transmission and the delayed measured and compared to theoretical values. The utilization of communication systems has expanded rapidly. However, there is a need to deploy new telecommunication systems and transmission technologies that can carry more data and allows faster transmission at a minimal cost. Due to this, the effect of high latency, noise and interference in communication networks is one major challenge that pose great danger to faster and successful data transmission. We use data obtained from the software tool (ICMP) which recorded the ping statistics and (SPSS) in data coding and analysis. Broadband power line communication may be seen as complementary or alternative solutions to traditional fixed line networks and wireless networks according to existing network architectures with PLC bandwidths set to increase
本文从数据传输和延迟测量两方面对宽带电力线通信进行了评价,并与理论值进行了比较。通信系统的使用迅速扩大。然而,有必要部署新的电信系统和传输技术,以承载更多的数据,并以最低的成本实现更快的传输。因此,通信网络中高延迟、噪声和干扰的影响是对更快和成功的数据传输构成巨大危险的主要挑战。我们使用从记录ping统计数据的软件工具(ICMP)获得的数据和(SPSS)进行数据编码和分析。宽带电力线通信可以被视为传统固定线路网络和无线网络的补充或替代解决方案,根据现有的网络架构,PLC带宽将增加
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引用次数: 0
Nature-inspired search method for IoT-based water leakage location detection system 基于物联网的漏水定位检测系统的自然搜索方法
Pub Date : 2019-12-20 DOI: 10.1109/ICMRSISIIT46373.2020.9405879
Emmanuel Freeman, Daniel Ayitey Quaye, I. E. Agbehadji, R. Millham
Detecting water leakage and reporting the leakage timely is one of the challenges faced by water distributing companies in developing nations. This paper employs a nature-inspired search method for optimal location search to water leakage sources for Ghana Water and Sewage Services Company. The nature-inspired method aid in mapping IoT-edge computing devices used by the water and sewage workers, especially in the cities and urban areas, to find and locate leaked pipelines. Once, a water and sewage worker receive a trigger from any location that there are leakages, the algorithm generates the location data which automatically processes the distance, geographic location, and direction. In this paper, a nature-inspired algorithm based on the behaviour of a Kestrel bird was used as the mapping function. The developed algorithm was tested and evaluated using pre-defined and random locations based on their latitudes and longitudinal data. The proposed algorithm was evaluated against BAT algorithm. Findings from the data indicated that the proposed KSA used as mapping function, was successful in providing the optimal distance after receiving water leakage geographic location data from IoT edge computing devices.
检测漏水并及时报告漏水是发展中国家供水公司面临的挑战之一。本文采用自然启发的搜索方法对加纳供水和污水服务公司的漏水源头进行最优位置搜索。这种受自然启发的方法有助于绘制供水和污水处理工人使用的物联网边缘计算设备的地图,特别是在城市和城市地区,以查找和定位泄漏的管道。一旦供水和污水处理工人从任何地方收到漏水的触发信号,该算法就会生成位置数据,并自动处理距离、地理位置和方向。本文采用一种基于红隼行为的自然启发算法作为映射函数。根据纬度和纵向数据,使用预定义的随机地点对开发的算法进行了测试和评估。将该算法与BAT算法进行比较。数据结果表明,所提出的KSA作为映射函数,在从物联网边缘计算设备接收漏水地理位置数据后,成功地提供了最佳距离。
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引用次数: 1
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遥感信息
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