2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)最新文献_第2页

Digital Twin for Automated Industrial Optimization: Intelligent Machine Selection via Process Modelling 自动化工业优化的数字孪生:通过过程建模进行智能机器选择

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205949

Konstantinos Skianis, A. Giannopoulos, Alexandros Kalafatelis, P. Trakadas

引用次数: 0

A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications 增强现实应用中场景理解的模块化深度学习框架

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205667

Vladislav Li, B. Villarini, Jean-Christophe Nebel, Argyriou Vasileios

{"title":"A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications","authors":"Vladislav Li, B. Villarini, Jean-Christophe Nebel, Argyriou Vasileios","doi":"10.1109/IAICT59002.2023.10205667","DOIUrl":"https://doi.org/10.1109/IAICT59002.2023.10205667","url":null,"abstract":"Taking as input natural images and videos, augmented reality (AR) applications aim to enhance the real world with superimposed digital contents, enabling interaction between the user and the environment. One important step in this process is automatic scene analysis and understanding, which should be performed both in real time and with a good level of object recognition accuracy. In this work, an end-to-end framework based on the combination of a Super Resolution network with a detection and recognition deep network has been proposed to increase performance and lower processing time. This novel approach has been evaluated on two different datasets: the popular COCO dataset, whose real images are used for benchmarking many different computer vision tasks, and a generated dataset with synthetic images recreating a variety of environmental, lighting, and acquisition conditions. The evaluation analysis is focused on small objects, which are more challenging to correctly detect and recognise. The results show that the Average Precision is higher for small and low-resolution objects for the proposed end-to-end approach in most of the selected conditions.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132168467","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

Escape the Castle: A Virtual Reality Game Utilizing L-Systems for Dynamic Level Generation 逃离城堡:一款利用l系统生成动态关卡的虚拟现实游戏

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205947

Matthew R. Yaswinski, Jeyaprakash Chelladurai, Shivani Barot

{"title":"Escape the Castle: A Virtual Reality Game Utilizing L-Systems for Dynamic Level Generation","authors":"Matthew R. Yaswinski, Jeyaprakash Chelladurai, Shivani Barot","doi":"10.1109/IAICT59002.2023.10205947","DOIUrl":"https://doi.org/10.1109/IAICT59002.2023.10205947","url":null,"abstract":"The virtual reality gaming market is a rapidly growing industry, as advancements in technology continue to improve the way in which we consume this type of media. As a result, there is an increasing demand for unique and engaging virtual reality games that can take advantage of these advancements. The goal of this paper is to create a virtual reality escape room game that can be run using GoogleVR on an Android smartphone. The game will be designed to be an immersive and engaging experience, with a focus on using L-Systems to generate the rooms. L-Systems are a type of formal grammar used to model the growth of plants and other forms of organic structures. By incorporating L-Systems into the design of the rooms, the game will be able to create unique and realistic environments that are different each time the game is played. Overall, this project will demonstrate the potential of using L-Systems in virtual reality game design and provide players with a unique and engaging escape room experience on their Android smartphones.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133541220","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

Emergency Message Distribution in Vehicular Networks with Fuzzy Logic Model at MAC and Network Layer 基于MAC层和网络层模糊逻辑模型的车载网络应急信息分发

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205590

N. Septa, S. Wagh

{"title":"Emergency Message Distribution in Vehicular Networks with Fuzzy Logic Model at MAC and Network Layer","authors":"N. Septa, S. Wagh","doi":"10.1109/IAICT59002.2023.10205590","DOIUrl":"https://doi.org/10.1109/IAICT59002.2023.10205590","url":null,"abstract":"The surge in motorization and urbanization has resulted in a notable increase in road traffic, leading to heightened congestion and a rise in the frequency of road accidents. To ensure reliable transportation, the timely and stable transmission of safety messages through Vehicle Ad-hoc Networks (VANETs) is crucial. The movement of vehicles and changes in network topology can lead to link breakage and packet loss. To address this issue, a solution is proposed that utilizes a fuzzy logic system in both the Medium Access Control (MAC) layer and the network layer (NetMac-Fuzzy) to efficiently disseminate safety messages to a fixed destination such as a hospital. To accommodate changing traffic conditions, the proposed model optimizes both the Contention Window (CW) and the process of selecting the next forwarder. By considering network parameters such as traffic flow and link strength, the model selects the appropriate size of CW. For multi-hop communication, the model considers various factors such as traffic direction, vehicle density, divergence in speed, and storage between the transmitter vehicle and surrounding vehicles within its transmission range to determine the next forwarding relay. The simulation results demonstrate that the NetMac-Fuzzy model exhibits consistent throughput performance with an increase in vehicle density, and it also shows a 5% improvement in average packet delay compared to other models.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"277 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116851512","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

Underground Soil Moisture Sensor Based on Monopole Antenna for Precision Agriculture 基于单极天线的地下土壤水分传感器用于精准农业

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205648

Thi Phuong Thao Nguyen, Thu Giang Do, Phuong Thao Dao, M. Le

引用次数: 0

General Chaos Implementation as a Construction Element of Primitive Cryptography 作为原始密码学构造元素的一般混沌实现

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205692

Ikhwanul Hakim Masri, B. H. Susanti

{"title":"General Chaos Implementation as a Construction Element of Primitive Cryptography","authors":"Ikhwanul Hakim Masri, B. H. Susanti","doi":"10.1109/IAICT59002.2023.10205692","DOIUrl":"https://doi.org/10.1109/IAICT59002.2023.10205692","url":null,"abstract":"In recent years, the development of Industry 4.0 has accelerated. In their implementation, various primitive cryptography methods such as block cipher, stream cipher, hash function, and pseudo-random number generator are used in this development. These primitive cryptography algorithms, for example, are used in Internet of Things technology to improve security, as well as in cloud computing technology to improve security. Furthermore, hash functions are heavily used as primitive cryptography in blockchain technology to provide the necessary security services. To provide good results in their implementation, the primitive cryptography algorithms used must have good properties. The confusion and diffusion properties of an encryption algorithm can help determine whether or not it is good. If the confusion and diffusion properties are good, the results of their implementation will be good as well. Chaos functions, which have deterministic but chaotic properties, are suitable for designing primitive cryptography algorithms with good confusion and diffusion properties. In this paper, a general implementation of chaos functions is proposed as a building block of primitive cryptography algorithms. The proposed general implementation of chaos will be evaluated based on its confusion and diffusion properties using various chaos functions to ensure that if this proposal is used in the construction of cryptographic algorithms, it will produce algorithms with good confusion and diffusion properties. The evaluation results indicate that the proposed algorithm exhibits good confusion and diffusion characteristics and has a linear time complexity.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988011","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

Examination of Training Data Expansion for Detection of Abnormal Respiration and Patients 检测呼吸异常和患者的训练数据扩展的检验

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205917

M. Yamashita

{"title":"Examination of Training Data Expansion for Detection of Abnormal Respiration and Patients","authors":"M. Yamashita","doi":"10.1109/IAICT59002.2023.10205917","DOIUrl":"https://doi.org/10.1109/IAICT59002.2023.10205917","url":null,"abstract":"Abnormal sounds, termed adventitious sounds, include the lung sound of an individual with pulmonary disease. In this study, we aim to automatically detect abnormal sounds from auscultatory sounds. First, stochastic models are employed to express the acoustic features of normal lung sounds from healthy individuals and abnormal lung sounds from patients. Using this, normal and abnormal lung sounds are classified. However, a low classification rate was obtained because the amount of training data for the stochastic models was small. Although large volumes of training data are necessary for constructing stochastic models with high accuracy, collecting various types of abnormal respiration from a large number of patients is challenging. Therefore, to overcome this limitation, we propose the method to expand the training data for the models. Adding the acoustic features of adventitious sounds to normal respiration and using them as abnormal respiration for training data, significantly increased the classification rate. The results indicate the effectiveness of the proposed method.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121231798","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

A Bandwidth Enhanced Circular Ring Microstrip Antenna Based on CSRR-loaded Ground for 5G Application 基于csrr负载地的5G宽带增强型环形微带天线

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205603

H. H. Ryanu, Muhammad Fadhil, Levy Olivia Nur

{"title":"A Bandwidth Enhanced Circular Ring Microstrip Antenna Based on CSRR-loaded Ground for 5G Application","authors":"H. H. Ryanu, Muhammad Fadhil, Levy Olivia Nur","doi":"10.1109/IAICT59002.2023.10205603","DOIUrl":"https://doi.org/10.1109/IAICT59002.2023.10205603","url":null,"abstract":"The development of 5G technology requires antennas that can support multiple services that require high data rates and low latency. A microstrip antenna with the characteristics of easy to manufacture and lightweight is suitable to meet these requirements. However, to support high data rates, it is necessary to increase the bandwidth of microstrip antennas, which usually have narrow bandwidth properties. The method used to increase the bandwidth of the microstrip antenna using a 1×2 configuration Complementary Split Ring Resonator (CSRR) on the ground plane has been investigated in this paper. The proposed antenna uses a circular ring patch and is designed on FR-4 material. From the unit cell simulation results, negative permittivity values are obtained in the frequency range 3.35 - 4 GHz or with a bandwidth of 650 MHz. The antenna simulation results show that by adding a CSRR with a 1×2 configuration, there is an increase in fractional bandwidth of 15.14% from 120 MHz to 650 MHz, compared to an antenna without a CSRR. The fabrication result bandwidth conforms with the simulation results with a bandwidth of 640 MHz. In addition, the radiation parameters from the measurement results show that the antenna has a gain of 4.9 dBi, and the radiation pattern is unidirectional.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121560158","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

Implementation of Adaptive-PID Based Temperature Trajectory Tracking Control to Improve Repeatability in Coffee Roasting 基于自适应pid的温度轨迹跟踪控制提高咖啡烘焙的重复性

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205885

Tirta Inovan, A. Cahyadi, O. Wahyunggoro

{"title":"Implementation of Adaptive-PID Based Temperature Trajectory Tracking Control to Improve Repeatability in Coffee Roasting","authors":"Tirta Inovan, A. Cahyadi, O. Wahyunggoro","doi":"10.1109/IAICT59002.2023.10205885","DOIUrl":"https://doi.org/10.1109/IAICT59002.2023.10205885","url":null,"abstract":"The increasing demand for higher-quality specialty coffee is making the industry pay special attention to temperature management during roasting. Instead of keeping the temperature at an exact point, managing the temperature over time is more important, directly impacting flavor development on the final roasted beans. Generally, the temperature within the coffee roaster is managed by a human operator, making it hard to recreate a similar temperature profile between different roasting batches. This paper proposes a novel embedded system that implements trajectory tracking control based on Adaptive PID-M with the goal of eliminating over-reliance on an operator’s skill to manage the repetitive roasting process. Experimental results show that the implemented system is able to recreate temperature profile with a mean square error (MSE) of $4.56^{circ}mathrm{C}$ which is a huge improvement from human operators with an MSE of $21.7^{circ}mathrm{C}$. Implementing this system will allow coffee roasting shops to improve quality control and reduce waste from inconsistent roasting batches.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130600776","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

UE Clustering Based on Grid Affinity Propagation for mmWave D2D in Virtual Small Cells 基于网格亲和传播的虚拟小蜂窝毫米波D2D UE聚类

2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2023-07-13 DOI: 10.1109/IAICT59002.2023.10205374

Achmad Rizal Danisya, G. Hendrantoro, P. Handayani

引用次数: 0