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Smart Card-based Access Control System using Isolated Many-to-Many Authentication Scheme for Electric Vehicle Charging Stations 基于智能卡的电动汽车充电站隔离多对多认证访问控制系统
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-09-25 DOI: 10.5614/itbj.ict.res.appl.2023.17.2.8
Wervyan Shalannanda, Fajri Anugerah P. Kornel, Naufal Rafi Hibatullah, Fahmi Fahmi, Erwin Sutanto, Muhammad Yazid, Muhammad Aziz, Muhammad Imran Hamid
In recent years, the Internet of Things (IoT) trend has been adopted very quickly. The rapid growth of IoT has increased the need for physical access control systems (ACS) for IoT devices, especially for IoT devices containing confidential data or other potential security risks. This research focused on many-to-many ACS, a type of ACS in which many resource-owners and resource-users are involved in the same system. This type of system is advantageous in that the user can conveniently access resources from different resource-owners using the same system. However, such a system may create a situation where parties involved in the system have their data leaked because of the large number of parties involved in the system. Therefore, ‘isolation’ of the parties involved is needed. This research simulated the use of smart cards to access electric vehicle (EV) charging stations that implement an isolated many-to-many authentication scheme. Two ESP8266 MCUs, one RC522 RFID reader, and an LED represented an EV charging station. Each institute used a Raspberry Pi Zero W as the web and database server. This research also used VPN and HTTPS protocols to isolate each institute’s assets. Every component of the system was successfully implemented and tested functionally.
近年来,物联网(IoT)趋势得到了非常迅速的采用。物联网的快速增长增加了物联网设备对物理访问控制系统(ACS)的需求,特别是对于包含机密数据或其他潜在安全风险的物联网设备。本研究的重点是多对多ACS,即同一系统中涉及许多资源所有者和资源使用者的一种ACS。这种类型的系统的优点在于,用户可以使用相同的系统方便地访问来自不同资源所有者的资源。但是,由于系统的参与方众多,这样的系统可能会出现参与方数据泄露的情况。因此,需要对有关各方进行“隔离”。本研究模拟使用智能卡访问电动汽车(EV)充电站,该充电站实现了孤立的多对多认证方案。两个ESP8266 mcu,一个RC522 RFID读取器和一个LED代表电动汽车充电站。每个研究所都使用树莓派Zero W作为网络和数据库服务器。本研究还使用VPN和HTTPS协议来隔离每个机构的资产。系统的每个组成部分都成功实现并进行了功能测试。
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引用次数: 0
The Evaluation of DyHATR Performance for Dynamic Heterogeneous Graphs 动态异构图的DyHATR性能评价
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-09-13 DOI: 10.5614/itbj.ict.res.appl.2023.17.2.7
Nasy`an Taufiq Al Ghifari, Gusti Ayu Putri Saptawati, Masayu Leylia Khodra, Benhard Sitohang
Dynamic heterogeneous graphs can represent real-world networks. Predicting links in these graphs is more complicated than in static graphs. Until now, research interest of link prediction has focused on static heterogeneous graphs or dynamically homogeneous graphs. A link prediction technique combining temporal RNN and hierarchical attention has recently emerged, called DyHATR. This method is claimed to be able to work on dynamic heterogeneous graphs by testing them on four publicly available data sets (Twitter, Math-Overflow, Ecomm, and Alibaba). However, after further analysis, it turned out that the four data sets did not meet the criteria of dynamic heterogeneous graphs. In the present work, we evaluated the performance of DyHATR on dynamic heterogeneous graphs. We conducted experiments with DyHATR based on the Yelp data set represented as a dynamic heterogeneous graph consisting of homogeneous subgraphs. The results show that DyHATR can be applied to identify link prediction on dynamic heterogeneous graphs by simultaneously capturing heterogeneous information and evolutionary patterns, and then considering them to carry out link predicition. Compared to the baseline method, the accuracy achieved by DyHATR is competitive, although the results can still be improved.
动态异构图可以表示现实世界的网络。在这些图中预测链接比在静态图中预测链接要复杂得多。迄今为止,链路预测的研究兴趣主要集中在静态异构图和动态同构图上。最近出现了一种结合时间RNN和层次注意的链接预测技术,称为DyHATR。据称,通过在四个公开可用的数据集(Twitter、Math-Overflow、Ecomm和Alibaba)上进行测试,该方法能够处理动态异构图。然而,经过进一步分析,发现这四个数据集都不符合动态异构图的标准。在本工作中,我们评估了DyHATR在动态异构图上的性能。我们基于Yelp数据集进行了DyHATR实验,该数据集表示为由同质子图组成的动态异构图。结果表明,DyHATR可以同时捕获异构信息和进化模式,并结合它们进行链接预测,从而实现动态异构图的链接预测。与基线方法相比,DyHATR获得的精度具有竞争力,尽管结果仍然可以改进。
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引用次数: 0
Machine Learning-based Early Detection and Prognosis of the Covid-19 Pandemic 基于机器学习的新冠肺炎大流行早期检测和预测
IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-09-01 DOI: 10.5614/itbj.ict.res.appl.2023.17.2.6
Ajitha Santhakumari, R. Shilpa, Hudhaifa Mohammed Abdulwahab
The outbreak of Covid-19 has caused a global health crisis, presenting numerous challenges to the healthcare system with its severe respiratory symptoms and variable presentation. Early and accurate diagnosis of the virus is critical in controlling its spread and reducing the burden on healthcare facilities. To address this issue and relieve the strain on the healthcare system, this paper proposes a machine learning-based approach for Covid-19 diagnosis. Four algorithms were used for analyzing early Covid-19 detection, i.e., logistic regression, random forest, decision tree, and naive Bayes, using a data set of basic symptoms such as fever, shortness of breath, etc. for predicting positive and negative Covid-19 cases. Furthermore, development of a web portal that provides information on global vaccine distribution and the most widely used vaccines by country along with Covid-19 predictions. Our evaluation results demonstrate that the decision tree model outperformed the other models, achieving an accuracy of 97.69%. This study provides a practical solution to the ongoing Covid-19 crisis through an improved diagnosis method and access to vaccination information.
2019冠状病毒病(Covid-19)疫情引发了全球卫生危机,因其严重的呼吸道症状和不同的表现形式,给卫生保健系统带来了诸多挑战。早期和准确诊断该病毒对于控制其传播和减轻卫生保健机构的负担至关重要。为了解决这一问题并减轻医疗系统的压力,本文提出了一种基于机器学习的新冠肺炎诊断方法。采用logistic回归、随机森林、决策树、朴素贝叶斯四种算法对早期检测结果进行分析,以发热、呼吸短促等基本症状数据集预测阳性和阴性病例。此外,开发一个门户网站,提供有关全球疫苗分布和各国使用最广泛的疫苗的信息以及Covid-19预测。我们的评估结果表明,决策树模型优于其他模型,达到了97.69%的准确率。本研究通过改进诊断方法和获取疫苗接种信息,为当前的Covid-19危机提供了切实可行的解决方案。
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引用次数: 0
Generative Adversarial Networks Based Scene Generation on Indian Driving Dataset 基于生成对抗网络的印度驾驶数据集场景生成
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-08-31 DOI: 10.5614/itbj.ict.res.appl.2023.17.2.4
K. Aditya Shastry, B.A. Manjunatha, T.G. Mohan Kumar, D.U. Karthik
The rate of advancement in the field of artificial intelligence (AI) has drastically increased over the past twenty years or so. From AI models that can classify every object in an image to realistic chatbots, the signs of progress can be found in all fields. This work focused on tackling a relatively new problem in the current scenario-generative capabilities of AI. While the classification and prediction models have matured and entered the mass market across the globe, generation through AI is still in its initial stages. Generative tasks consist of an AI model learning the features of a given input and using these learned values to generate completely new output values that were not originally part of the input dataset. The most common input type given to generative models are images. The most popular architectures for generative models are autoencoders and generative adversarial networks (GANs). Our study aimed to use GANs to generate realistic images from a purely semantic representation of a scene. While our model can be used on any kind of scene, we used the Indian Driving Dataset to train our model. Through this work, we could arrive at answers to the following questions: (1) the scope of GANs in interpreting and understanding textures and variables in complex scenes; (2) the application of such a model in the field of gaming and virtual reality; (3) the possible impact of generating realistic deep fakes on society.
在过去的二十年左右,人工智能(AI)领域的发展速度急剧增加。从可以对图像中的每个物体进行分类的人工智能模型到逼真的聊天机器人,在所有领域都可以找到进步的迹象。这项工作的重点是解决当前人工智能场景生成能力中一个相对较新的问题。虽然分类和预测模型已经成熟,并在全球范围内进入大众市场,但通过人工智能生成仍处于初级阶段。生成任务由人工智能模型学习给定输入的特征,并使用这些学习值生成全新的输出值组成,这些输出值最初不是输入数据集的一部分。生成模型最常见的输入类型是图像。生成模型最流行的架构是自动编码器和生成对抗网络(gan)。我们的研究旨在使用gan从场景的纯语义表示生成逼真的图像。虽然我们的模型可以用于任何类型的场景,但我们使用了印度驾驶数据集来训练我们的模型。通过这项工作,我们可以得出以下问题的答案:(1)gan在解释和理解复杂场景中的纹理和变量方面的范围;(2)该模型在游戏和虚拟现实领域的应用;(3)产生现实的深度假对社会可能产生的影响。
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引用次数: 0
A Subthreshold Biased CMOS Ring Oscillator Model Design in 180-nm Process 180纳米工艺下阈值偏置CMOS环形振荡器模型设计
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-08-31 DOI: 10.5614/itbj.ict.res.appl.2023.17.2.1
Vinícius Henrique Geraldo Correa, Rodrigo Aparecido da Silva Braga, Dean Bicudo Karolak, Fernanda Rodrigues Silva
In this paper, a 180-nm CMOS ring oscillator design, made with halo-implanted transistors and operating in the weak inversion region, is proposed, based on an undergraduate integrated circuit design course methodology for building logic gates and comparing simulated results with reviewed literature data. Halo-implanted channel transistors have a steeper and less distorted voltage characteristic curve compared to uniformly doped channel ones, which makes them a more appropriate option when designing asynchronous digital integrated circuits aimed at low bias and low power. Three gate models were created using weak inversion and pull-up and pull-down networks made with halo-implanted transistors. The results of the study and simulation of the three inverter digital gate topologies showed that the NOT inverter model, as expected, had a higher frequency than the NAND and NOR inverter models. The ring oscillators made with the NOT inverter came up with an 8.25-MHz switching frequency as well as a dynamic power close to 270 nW. A comparison with other ring oscillators from previous studies is also shown.
本文基于本科集成电路设计课程构建逻辑门的方法,并将仿真结果与文献数据进行比较,提出了一种工作在弱反转区、由光晕植入晶体管构成的180 nm CMOS环形振荡器设计方案。与均匀掺杂的沟道晶体管相比,光晕注入的沟道晶体管具有更陡峭、畸变更小的电压特性曲线,这使其成为设计低偏置、低功耗异步数字集成电路更合适的选择。利用晕形晶体管的弱反转和上拉下拉网络建立了三个栅极模型。对三种逆变器数字门拓扑的研究和仿真结果表明,非逆变器模型如预期的那样比NAND和NOR逆变器模型具有更高的频率。由NOT逆变器制成的环形振荡器具有8.25 mhz的开关频率以及接近270 nW的动态功率。并与以往研究的其他环形振荡器进行了比较。
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引用次数: 0
Improving Robustness Using MixUp and CutMix Augmentation for Corn Leaf Diseases Classification based on ConvMixer Architecture 利用MixUp和CutMix增强增强基于ConvMixer结构的玉米叶片病害分类鲁棒性
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-08-31 DOI: 10.5614/itbj.ict.res.appl.2023.17.2.3
Li-Hua Li, Radius Tanone
Corn leaf diseases such as blight spot, gray leaf spot, and common rust still lurk in corn fields. This problem must be solved to help corn farmers. The ConvMixer model, consisting of a patch embedding layer, is a new model with a simple structure. When training a model with ConvMixer, improvisation is an important part that needs to be further explored to achieve better accuracy. By using advanced data augmentation techniques such as MixUp and CutMix, the robustness of ConvMixer model can be well achieved for corn leaf diseases classification. We describe experimental evidence in this article using precision, recall, accuracy score, and F1 score as performance metrics. As a result, it turned out that the training model with the data set without extension on the ConvMixer model achieved an accuracy of 0.9812, but this could still be improved. In fact, when we used the MixUp and CutMix augmentation, the training model results increased significantly to 0.9925 and 0.9932, respectively.
玉米叶枯病、灰斑病、普通锈病等玉米叶片病害仍然潜伏在玉米田中。为了帮助种植玉米的农民,必须解决这个问题。ConvMixer模型是一种结构简单的新模型,由一个patch嵌入层组成。在使用ConvMixer训练模型时,为了达到更好的准确率,即兴化是一个需要进一步探索的重要部分。利用MixUp和CutMix等先进的数据增强技术,可以很好地实现ConvMixer模型对玉米叶片病害分类的鲁棒性。在本文中,我们使用精度、召回率、准确性评分和F1评分作为性能指标来描述实验证据。结果表明,在ConvMixer模型上不进行扩展的数据集训练模型的准确率为0.9812,但仍有提高的空间。事实上,当我们使用MixUp和CutMix增强时,训练模型结果分别显著增加到0.9925和0.9932。
{"title":"Improving Robustness Using MixUp and CutMix Augmentation for Corn Leaf Diseases Classification based on ConvMixer Architecture","authors":"Li-Hua Li, Radius Tanone","doi":"10.5614/itbj.ict.res.appl.2023.17.2.3","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2023.17.2.3","url":null,"abstract":"Corn leaf diseases such as blight spot, gray leaf spot, and common rust still lurk in corn fields. This problem must be solved to help corn farmers. The ConvMixer model, consisting of a patch embedding layer, is a new model with a simple structure. When training a model with ConvMixer, improvisation is an important part that needs to be further explored to achieve better accuracy. By using advanced data augmentation techniques such as MixUp and CutMix, the robustness of ConvMixer model can be well achieved for corn leaf diseases classification. We describe experimental evidence in this article using precision, recall, accuracy score, and F1 score as performance metrics. As a result, it turned out that the training model with the data set without extension on the ConvMixer model achieved an accuracy of 0.9812, but this could still be improved. In fact, when we used the MixUp and CutMix augmentation, the training model results increased significantly to 0.9925 and 0.9932, respectively.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136036316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced Relative Comparison of Traditional Sorting Approaches towards Optimization of New Hybrid Two-in-One (OHTO) Novel Sorting Technique 基于混合二合一(OHTO)新分拣技术优化的传统分拣方法的增强相对比较
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-08-31 DOI: 10.5614/itbj.ict.res.appl.2023.17.2.2
Rajeshwari B S, C.B. Yogeesha, M. Vaishnavi, Yashita P. Jain, B.V. Ramyashree, Arpith Kumar
In the world of computer technology, sorting is an operation on a data set that involves ordering it in an increasing or decreasing fashion according to some linear relationship among the data items. With the rise in the generation of big data, the concept of big numbers has come into existence. When the number of records to be sorted is limited to thousands, traditional sorting approaches can be used; in such cases, complexities in their execution time can be ignored. However, in the case of big data, where processing times for billions or trillions of records are very long, time complexity is very significant. Therefore, an optimized sorting technique with efficient time complexity is very much required. Hence, in this paper an optimized sorting technique is proposed, named Optimized Hybrid Two-in-One Novel Sorting Technique (OHTO, a mixed approach of the Insertion Sort technique and the Bubble Sort technique. The proposed sorting technique uses the procedure of both Bubble Sort and Insertion Sort, resulting in fewer comparisons, fewer data movements, fewer data insertions, and less time complexity for any given input data set compared to existing sorting techniques.
在计算机技术领域,排序是对数据集的一种操作,它涉及根据数据项之间的某种线性关系以递增或递减的方式对数据集进行排序。随着大数据一代的兴起,大数字的概念应运而生。当要排序的记录数量限制在数千条时,可以使用传统的排序方法;在这种情况下,执行时间的复杂性可以忽略不计。然而,在大数据的情况下,处理数十亿或数万亿条记录的时间非常长,时间复杂性非常显著。因此,非常需要一种具有有效时间复杂度的优化排序技术。因此,本文提出了一种优化排序技术,即优化混合二合一新型排序技术(OHTO),它是插入排序技术和冒泡排序技术的一种混合方法。所提出的排序技术使用冒泡排序和插入排序的过程,与现有的排序技术相比,对任何给定的输入数据集进行更少的比较、更少的数据移动、更少的数据插入和更少的时间复杂度。
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引用次数: 0
Analytical Approach to Parameter Determination in Kaiser Function for Power-weighted Antenna Array Design 功率加权天线阵设计中Kaiser函数参数确定的解析方法
IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-06-16 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.8
Hartuti Mistialustina, Chairunnisa Chairunnisa, A. Munir
Window methods that are frequently used in the design of finite impulse response filters are also applicable to antenna array designs. This paper explores the application of a Kaiser function in a power-weighted antenna array design, focusing on the determination of the Kaiser function’s β parameter. The determination, which includes the calculation, optimization, and validation of the β parameter, was carried out based on a specific configuration of a linear antenna array design. The observation of this exploration emphasized the suppression of the sidelobe level (SLL) and the width of main lobe (WML) performance. By changing the β parameter, the Kaiser function is capable of approximating different window methods, since it plays an important role in defining the set of weighting coefficients for a specifically targeted SLL. Kaiser function application in power-weighted antenna array designs with a linear arrangement indicates the need of β parameter optimization because of the disagreement between the obtained SLL and the targeted SLL. The optimized β parameter produced a smaller SLL error for even and odd numbers of elements. From the validation, the average SLL error percentage for a targeted SLL of 25 dB, 35 dB, and 45 dB was 6%, 4.31%, 6.10%, respectively.
在有限脉冲响应滤波器的设计中经常使用的窗口方法也适用于天线阵列的设计。本文探讨了Kaiser函数在功率加权天线阵列设计中的应用,重点是Kaiser函数的β参数的确定。该确定包括β参数的计算、优化和验证,是基于线性天线阵列设计的特定配置进行的。本次探索的观测强调了旁瓣电平(SLL)和主瓣宽度(WML)性能的抑制。通过改变β参数,Kaiser函数能够近似不同的窗口方法,因为它在定义特定目标SLL的加权系数集方面发挥着重要作用。Kaiser函数在线性排列的功率加权天线阵列设计中的应用表明,由于所获得的SLL和目标SLL之间的不一致,需要对β参数进行优化。优化的β参数对偶数和奇数元素产生较小的SLL误差。根据验证,25 dB、35 dB和45 dB的目标SLL的平均SLL误差百分比分别为6%、4.31%和6.10%。
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引用次数: 2
The Utility of Decision Tree and Analytics Hierarchy Process in Prioritizing of Social Aid Distribution due to Covid-19 Pandemic in Indonesia 决策树和层次分析法在印度尼西亚新冠肺炎大流行期间社会援助分配优先排序中的效用
IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-04-30 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.6
S. Diwandari, Enny Itje Sela, Briyan Efflin Syahputra, Nathaniela Aptanta Parama, Anindita Septiarini
The Indonesian government provided various social assistance programs to local governments during Covid-19. One of the difficulties for the local governments in determining candidates for social aid is ensuring that the number of candidates is in balance with the available quota. Therefore, the local governments must select the most eligible candidates. This study proposes a priority model that can provide recommendations for candidates who meet the criteria for social assistance. The six parameters used in this study were: number of dependents, occupation, income, age, Covid status, and citizen status. The model operates in two stages, namely classification followed by ranking. The classification stage is conducted using a decision tree, while the ranking stage is performed conducted using the Analytical Hierarchy Process (AHP) algorithm. The decision tree separates two classes, namely, eligible and non-eligible. In addition, the classification process is also used to determine the dominant attributes and played a role in the modeling. The proposed model generates a list of the most eligible candidates based on our research. These are sorted by weight from greatest to most eligible using five dominant parameters: number of dependents, income, age, Covid status, and citizen status.
新冠肺炎疫情期间,印尼政府向地方政府提供了各种社会救助项目。地方政府确定社会救助候选人的困难之一是确保候选人的数量与可用的配额平衡。因此,地方政府必须选择最符合条件的候选人。本研究提出了一个优先级模型,可以为符合社会救助标准的候选人提供推荐。本研究中使用的六个参数是:家属人数、职业、收入、年龄、Covid状态和公民身份。该模型分为两个阶段,即分类和排序。分类阶段采用决策树进行,排序阶段采用层次分析法(AHP)进行。决策树分为两类,即合格和不合格。此外,分类过程还用于确定主导属性并在建模中发挥作用。根据我们的研究,提出的模型生成了一个最符合条件的候选人列表。根据五个主要参数(家属人数、收入、年龄、新冠肺炎状况和公民身份),从最符合资格到最符合资格的权重进行排序。
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引用次数: 0
Sociable Robot ‘Lometh’: Exploring Interactive Regions of a Product-Promoting Robot in a Supermarket 社交机器人“Lometh”:探索超市中产品推广机器人的互动区域
IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-04-28 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.5
N. Weerawarna, U. Manawadu, P. R. D. De Silva
The robot ‘Lometh’ is an information-presenting robot that naturally interacts with people in a supermarket environment. In recent years, considerable effort has been devoted to the implementation of robotic interfaces to identify effective behaviors of communication robots focusing only on the social and physical factors of the addresser and the hearer. As attention focus and attention target shifting of people differs based on the human visual focus and the spatiality, this study considered four interactive regions, considering the visual focus of attention as well as the interpersonal space between robot and human. The collected primary data revealed that 56% attention shifts occurred in near peripheral field of view regions and 44% attention shifts in far peripheral field of view regions. Using correspondence analysis, we identified that the bodily behaviors of the robot showed the highest success rate in the left near peripheral field of view region. The verbal behaviors of the robot captured human attention best in the right near peripheral field of view region. In this experiment of finding a socially acceptable way to accomplish the attention attracting goals of a communication robot, we observed that the robots’ affective behaviors were successful in shifting human attention towards itself in both left and right far- peripheral field of view regions, so we concluded that for far field of view regions, designing similar interaction interventions can be expected to be successful.
机器人“Lometh”是一种在超市环境中与人自然互动的信息呈现机器人。近年来,人们致力于实现机器人接口,以识别通信机器人的有效行为,只关注说话人和听话人的社会和物理因素。由于人的注意力焦点和注意力目标转移因人类视觉焦点和空间性的不同而不同,本研究考虑了四个互动区域,考虑了注意力的视觉焦点以及机器人和人之间的人际空间。收集的初步数据显示,56%的注意力转移发生在近周边视场区域,44%的注意力转移出现在远周边视场区域。通过对应分析,我们发现机器人的身体行为在左侧近周边视野区域显示出最高的成功率。机器人的言语行为在右侧近周边视野区域最能引起人类的注意。在这个寻找社会可接受的方式来实现通信机器人吸引注意力目标的实验中,我们观察到机器人的情感行为在左和右远周边视场区域都成功地将人类的注意力转移到了自己身上,因此我们得出结论,对于远视场区域,设计类似的互动干预措施有望取得成功。
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引用次数: 0
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