2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)最新文献_第2页

Web-Based Psychological Rothwell Miller Interest Blank (RMIB) Test using Fuzzy Method 基于网络的模糊心理学Rothwell Miller兴趣空白测验

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172036

Ahmad Tirta Hutomo, Muhammad Nasrun, C. Setianingsih

引用次数: 2

Robot Service for Elderly to Find Misplaced Items: A Resource Efficient Implementation on Low-Computational Device 基于机器人的老年人物品查找服务:在低计算设备上的资源高效实现

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172030

Muhtadin, Billy, E. M. Yuniarno, Junaidillah Fadlil, Muchlisin Adi Saputra, I. Purnama, M. Purnomo

{"title":"Robot Service for Elderly to Find Misplaced Items: A Resource Efficient Implementation on Low-Computational Device","authors":"Muhtadin, Billy, E. M. Yuniarno, Junaidillah Fadlil, Muchlisin Adi Saputra, I. Purnama, M. Purnomo","doi":"10.1109/IAICT50021.2020.9172030","DOIUrl":"https://doi.org/10.1109/IAICT50021.2020.9172030","url":null,"abstract":"Elderly people often forget to put the items they need due to decreased memory. In this study, we developed an Integrated platform assistance robot providing support to elderly people. We developed a robot assistant platform that was equipped with an indoor positioning system that can help the elderly find misplaced items. Deep learning already has good accuracy in detecting the object but requires great computation resources. When applied to devices that have limited computing and memory capabilities such as robots, the computation time becomes slow or not applicable. We built a lightweight CNN that could run on a single board computer. To improve the accuracy of the network, we apply knowledge distillation by using an extensive network (YOLOv3) as a teacher. To increase computational speed, we do it by reducing the number of layers by implementing batch normalization fission. After being tested on the YOLO, knowledge distillation method can be used to increase accuracy, batch normalization fission will increase computation speed. From the experiment results using the VOC dataset on YOLO architecture with MobileNet feature extractor, the knowledge distillation method can increase accuracy by 9.4% from 0.3850 mAP to 0.4215 mAP and batch normalization fission can speeds up the computation time to 100.7% from 8.3 FPS to 16.66 FPS on CPU i7. The Knowledge Distillation successfully increase the model’s accuracy, reducing the model’s size, and batch normalization fusion method can speed up the detection process.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132268600","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

Performance analysis Secure Wireless Communication using Antenna Subset Modulation 利用天线子集调制的安全无线通信

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172021

Q. Nasir

引用次数: 1

Payment System Innovation Package Add on IPTV Using Multi-services on Screen Subscription (MOSS) Case Study UseeTV 支付系统创新包在IPTV上增加了使用屏幕上的多业务订阅(MOSS)的案例研究

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172015

Sarah Nitalya Bakara, D. Gunawan

{"title":"Payment System Innovation Package Add on IPTV Using Multi-services on Screen Subscription (MOSS) Case Study UseeTV","authors":"Sarah Nitalya Bakara, D. Gunawan","doi":"10.1109/IAICT50021.2020.9172015","DOIUrl":"https://doi.org/10.1109/IAICT50021.2020.9172015","url":null,"abstract":"A call center is a media that can accommodate customer complaints, including IPTV customers. However, along with the development of IPTV technology, PT Telkom customer complaints through call center 147 are increasing so that call center traffic is also higher, and solutions are needed to reduce the traffic that appears on back end tickets. One of the most common IPTV customer complaints is the difficulty of subscribers to subscribe to additional features provided by the provider. In response to this, we designed a payment system where customers can make payments for many features on a self-care basis based on Application Programming Interface (API), known as Multi- services On-Screen Subscription (MOSS). The API functions as a tool to connect several applications through one interface to simplify the operating system. The payment system designed can be used prepaid or postpaid. It is hoped that the presence of MOSS will improve the Quality of Experience (QoE) because USeeTV customers do not have to waste time contacting call center 147. MOSS also combined with variation of Financial Technologies to support Industry 4.0.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133224756","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

Long Term Evolution (LTE) Network Planning in Jakarta-Cikampek Elevated Toll 雅加达-奇坎佩克高架收费公路的长期演进(LTE)网络规划

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172013

Dennisa Aliffa Nursafitri, U. Usman, M. Maulana

{"title":"Long Term Evolution (LTE) Network Planning in Jakarta-Cikampek Elevated Toll","authors":"Dennisa Aliffa Nursafitri, U. Usman, M. Maulana","doi":"10.1109/IAICT50021.2020.9172013","DOIUrl":"https://doi.org/10.1109/IAICT50021.2020.9172013","url":null,"abstract":"Motorized vehicles user, especially those who use the four wheels, who often pass the Jakarta-Cikampek toll road, may often have difficulty connecting to their cellular operator network services, which may be due to the density of users and the influence of the condition of the area which is classified as open space. Along with the increase of users passing through the Cikampek Toll Road, the construction of the overpass on the Jakarta-Cikampek route was held as a form of anticipation of traffic congestion. With this condition, the number of devices requiring network services in the area will also increase. Therefore, in this research will carry out network planning for the Cikampek elevated toll area. Network planning in this research will carry out by conducting capacity planning and coverage planning. The data that will be used for the planning will be base on Cikampek toll users, also the population of the cities around Cikampek elevated toll route. Then, from the data obtained will be use for calculations in coverage and capacity planning for the elevated toll that is being built. With this planning, it is known the minimum site of 8 to fulfilled the service to fulfilled the need of the users. By doing the simulation using Atoll software, was measure the quality of the network from the planning. With the SINR average of 8.23 dB, throughput average of 31.99 Mbps, and BLER average of 0,01%.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129847276","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: 2

Approximated algorithm and low cost VLSI architecture for edge enhanced image scaling 边缘增强图像缩放的近似算法和低成本VLSI架构

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172027

Midde Venkata Siva, E. P. Jayakumar

引用次数: 2

Refarming Performance Analysis of Mobile Broadband System in Indonesia 印度尼西亚移动宽带系统重耕性能分析

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172023

Prita Dewi Mariyam, Vivi G. Anggraini, Adis Alifiawan, C. Apriono

{"title":"Refarming Performance Analysis of Mobile Broadband System in Indonesia","authors":"Prita Dewi Mariyam, Vivi G. Anggraini, Adis Alifiawan, C. Apriono","doi":"10.1109/IAICT50021.2020.9172023","DOIUrl":"https://doi.org/10.1109/IAICT50021.2020.9172023","url":null,"abstract":"In telecommunication industries, the radio frequency spectrum is a limited natural resource that should be managed and utilized effectively and efficiently. One critical issue is operators possibly assigned in uncontiguous spectrum allocations that may affect their optimum services. This paper proposes the process and analysis of a refarming application process to rearrange radio frequency in the 800 and 900 MHz bands to become contiguous bands for Indonesia telecommunication systems. The systems performances are analyzed in two main parameters in telecommunication industries, namely the dropcall and Standalone Dedicated Control Channel (SDCCH) success rate. The refarming process results dropcall and SDSR average of less than 1% and greater than 95%, respectively. This value is influenced by the signal’s quality in each cluster, weather, and geographical conditions. Also, an analysis of the timing of refarming was carried out in each cluster, and the results of the CDF regression is close to the two-order polynomial regression. The mobile network operators that have had contiguous frequency allocation can upgrade their network and deliver better user experience with a higher mobile broadband capacity.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"166 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113988875","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

Analyzing Different Unstated Goal Constraints on Reinforcement Learning Algorithm for Reacher Task in the Robotic Scrub Nurse Application 强化学习算法在机器人清洁护士教学任务中的不同未陈述目标约束分析

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172009

Clinton Elian Gandana, J. D. K. Disu, Hongzhi Xie, Lixu Gu

{"title":"Analyzing Different Unstated Goal Constraints on Reinforcement Learning Algorithm for Reacher Task in the Robotic Scrub Nurse Application","authors":"Clinton Elian Gandana, J. D. K. Disu, Hongzhi Xie, Lixu Gu","doi":"10.1109/IAICT50021.2020.9172009","DOIUrl":"https://doi.org/10.1109/IAICT50021.2020.9172009","url":null,"abstract":"The main objective paper is to make an empirical analysis of the effect of various unstated spatial goal constraints on reinforcement learning policy for the “reacher” task in the Robotic Scrub Nurse (RSN) application. This “reacher” task is an essential part of the RSN manipulation task, such as the task of picking, grasping, or placing the surgical instruments. This paper provides our experimental results and the evaluation of the “reacher” task under different spatial goal constraints. We researched the effect of this unstated assumption on a reinforcement learning (RL) algorithm: Soft-Actor Critic with Hindsight Experience Replay (SAC+HER). We used the 7-DoF robotic arm to evaluate this state-of-the-art deep RL algorithm. We performed our experiments in a virtual environment while training the robotic arm to reach the random target points. The implementation of this RL algorithm showed a robust performance, which is measured by reward values and success rates. We observed, these reinforcement learning assumptions, particularly the unstated spatial goal constraints, can affect the performance of the RL agent. The important aspect of the “reacher” task and the development of reinforcement learning applications in medical robotics is one of the main motivations behind this research objective.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115710037","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: 1

Observation Imbalanced Data Text to Predict Users Selling Products on Female Daily with SMOTE, Tomek, and SMOTE-Tomek 用SMOTE、Tomek和SMOTE-Tomek观察不平衡数据文本预测女性日报上销售产品的用户

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172033

Bern Jonathan, P. Putra, Y. Ruldeviyani

{"title":"Observation Imbalanced Data Text to Predict Users Selling Products on Female Daily with SMOTE, Tomek, and SMOTE-Tomek","authors":"Bern Jonathan, P. Putra, Y. Ruldeviyani","doi":"10.1109/IAICT50021.2020.9172033","DOIUrl":"https://doi.org/10.1109/IAICT50021.2020.9172033","url":null,"abstract":"Female Daily is a beauty platform that has social media application share users’ experiences of beauty by posting images and text in a post. Female Daily has terms of condition to not use the platform for selling in their post. Somehow, users of Female Daily sometimes use the platform for selling beauty products. Post of users in Female Daily records in Female Daily databases. In that data, there are imbalanced data about users’ posts that banned (minority class) and post that admin does not ban because it does not contain selling products (majority class). SMOTE and Tomek are techniques for handling imbalanced data by over-sampling and under-sampling techniques repeatedly to manage the data into balance. In this study, we want to evaluate the imbalanced data text in Female Daily using SMOTE, Tomek, and SMOTE-Tomek. Predicting algorithms that we will use are Support Vector Machine (SVM) and Logistic Regression (LR) using transform vector TF-IDF to evaluate the best methods to predict the users selling products on Female Daily. The results of this study show us the effect of SMOTE, Tomek, and SMOTE-Tomek to Precision-Recall in people selling products (majority class) is effects not quite high and also reducing the Precision-Recall, but for people selling products (minority class) is positives improvement. The highest results combination each metrics are; G-Mean combination SMOTE-Tomek with SVM, Precision to minority class combination of SMOTE with SVM, Recall to minority class combination of SMOTE with LR. Experimental results on this study indicate the usefulness of the using SMOTE or SMOTE-Tomek approach.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"4 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123421460","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: 14

Machine learning approach to predicting the acceptance of academic papers 预测学术论文接受度的机器学习方法

2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Pub Date : 2020-07-01 DOI: 10.1109/IAICT50021.2020.9172011

M. Skorikov, S. Momen

引用次数: 7