2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)最新文献_第5页

Internet of Resources - Concept for an Agent-based Distributed Resource Management in the Fourth Industrial Revolution 资源互联网——第四次工业革命中基于代理的分布式资源管理的概念

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935946

T. Kirks, Benedikt Maettig

引用次数: 0

Salt Content Prediction System of Dried Sea Cucumber (Beche-de-mer) Based on Visual Near-Infrared Imaging 基于视觉近红外成像的干海参含盐量预测系统

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935953

Sabar, A. H. Saputro, C. Imawan

{"title":"Salt Content Prediction System of Dried Sea Cucumber (Beche-de-mer) Based on Visual Near-Infrared Imaging","authors":"Sabar, A. H. Saputro, C. Imawan","doi":"10.1109/ACIRS.2019.8935953","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8935953","url":null,"abstract":"Dried sea cucumber (Beche-de-mer) is a culinary food that is considered luxurious and delicious, especially in China, Korea, and Japan, so the price is quite high. Dried sea cucumber (Beche-de-mer) also has high commercial value and high nutritional value. Their quality determines dried sea cucumber (Beche-de-mer) prices on international markets. One of the parameters that determine its quality is salt content. The excessive salt content in Dried sea cucumber (Beche-de-mer) can cause health problems such as hypertension, stroke, digestive system disorders, etc. Therefore, this paper will discuss a prediction system for measuring salt content in Dried sea cucumber (Beche-de-mer) using hyperspectral imaging technique. This system uses reflectance mode with a wavelength from 400 to1000 nm. The hardware from the prediction system for measuring salt content is motors to generate, hyperspectral camera system, two 150 W halogen lamps, Teflon tables, and personal computer link. Then, the PLSR algorithm is applied to the prediction system model at full wavelength. The prediction model is used to obtain the predicted value of salt content. Then the results of the prediction model are compared with the data references obtained by the mercury nitrate method. The root means square errors and correlation coefficient are used to evaluate the prediction system performance of salt content. The best result of the prediction system in this work is to have a correlation coefficient of 0.99 and root mean square errors of 0.27, respectively, with the number of PLS component is 25. Based on the results of this work, the proposed system can be used as an alternative method of measuring the salt content in dried sea cucumber (Beche-de-mer) with excellent accuracy and high reliability.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124719149","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

Deep Reinforcement Learning for Mobile Robot Navigation 移动机器人导航的深度强化学习

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935944

M. Gromniak, Jonas Stenzel

引用次数: 7

Automatic Path Planning of Robot for Intelligent Manufacturing Based on Network Remoted Controlling and Simulation 基于网络远程控制与仿真的智能制造机器人自动路径规划

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935967

Wen-Yang Chang, Sheng-You Lin, Jia-Wei Hsu, Bo-Yao Hsu

{"title":"Automatic Path Planning of Robot for Intelligent Manufacturing Based on Network Remoted Controlling and Simulation","authors":"Wen-Yang Chang, Sheng-You Lin, Jia-Wei Hsu, Bo-Yao Hsu","doi":"10.1109/ACIRS.2019.8935967","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8935967","url":null,"abstract":"This study investigated the automatic path generation of a six-axis robot for intelligent manufacturing based on network remoted controlling and simulation. The intelligent manufacturing also provides the real-time remote monitoring system that is through the TCP/IP protocol to connect and get the information from the machine controller. Then through virtual reality simulates the processing paths of robot manufacturing that calculated the path points of robot motion. The automatic path planning of the robot arm codes is transmitted to the arm controller to complete the path planning program and to start cutting the workpiece. In addition, the carving spindle is set up on the six-axis the robot arm and imported into the off-line programming software. Further, our study integrates a smart machine box with intelligent functions and internet of things to improve control precision and to analyze quantification data by collecting big data. Cloud platform is built using message queuing telemetry transport protocol, Postgre SQL, RESTful API and modelview-controller dashboard. This study hopes that the off-line compiler software will replace the manual teaching method and reduce the error that caused by the manual visual measurement accuracy and saved the time of robot shutdown.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123811244","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: 5

Single-Bit-per-Weight Deep Convolutional Neural Networks without Batch-Normalization Layers for Embedded Systems 无批归一化层的嵌入式系统单权重深度卷积神经网络

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8936030

M. McDonnell, H. Mostafa, Runchun Wang, A. V. Schaik

{"title":"Single-Bit-per-Weight Deep Convolutional Neural Networks without Batch-Normalization Layers for Embedded Systems","authors":"M. McDonnell, H. Mostafa, Runchun Wang, A. V. Schaik","doi":"10.1109/ACIRS.2019.8936030","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8936030","url":null,"abstract":"Batch-normalization (BN) layers are thought to be an integrally important layer type in today’s state-of-the-art deep convolutional neural networks for computer vision tasks such as classification and detection. However, BN layers introduce complexity and computational overheads that are highly undesirable for training and/or inference on low-power custom hardware implementations of real-time embedded vision systems such as UAVs, robots and Internet of Things (IoT) devices. They are also problematic when batch sizes need to be very small during training, and innovations such as residual connections introduced more recently than BN layers could potentially have lessened their impact. In this paper we aim to quantify the benefits BN layers offer in image classification networks, in comparison with alternative choices. In particular, we study networks that use shifted-ReLU layers instead of BN layers. We found, following experiments with wide residual networks applied to the ImageNet, CIFAR 10 and CIFAR 100 image classification datasets, that BN layers do not consistently offer a significant advantage. We found that the accuracy margin offered by BN layers depends on the data set, the network size, and the bit-depth of weights. We conclude that in situations where BN layers are undesirable due to speed, memory or complexity costs, that using shifted-ReLU layers instead should be considered; we found they can offer advantages in all these areas, and often do not impose a significant accuracy cost.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125569554","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

The Implementation of Remote Monitoring for Autonomous Driving 自动驾驶远程监控的实现

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935978

Rong-Terng Juang

{"title":"The Implementation of Remote Monitoring for Autonomous Driving","authors":"Rong-Terng Juang","doi":"10.1109/ACIRS.2019.8935978","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8935978","url":null,"abstract":"Although autonomous driving offers the possibility of significant benefits to social welfare, fully automated vehicles might not be going to happen in the near further. Currently, the self-driving vehicle, (e.g., shuttle bus) has to be monitored from a remote control center and the large amounts of data, including images, radar and LIDAR (light detection and ranging) data, etc., have to be transmitted from the vehicle to the remote center. Therefore, this paper proposes a compression method for LIDAR data. Firstly, the time-series LIDAR data are rearranged into azimuth-altitude two-dimensional signal spaces. Secondly, the two-dimensional data are transferred into frequency domain by using the discrete cosine transform (DCT). Thirdly, the time-series DCT data are sampled based on differential sampling. Finally, the whole set of data are encoded using Lempel-Ziv-Markov chain-algorithm (LZMA). Meanwhile, this paper also presents the remote control of autonomous vehicles. The videos are streamed from the vehicle while the control commands are issued through a gamepad. Field trials show that the amount of LIDAR data can be reduced dozens of times, while the remote control is feasible at a vehicle speed of 20kph.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115665747","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: 3

Safety Enhancement of a Pneumatic Artificial Muscle Actuated Robotic Orthosis for Gait Rehabilitation 用于步态康复的气动人工肌肉驱动机器人矫形器的安全性增强

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935957

Q. Dao, Shin-ichiroh Yamamoto

引用次数: 2

Spherical Mobile Robot for Monitoring and Tracking Children Indoors 用于室内儿童监测和跟踪的球形移动机器人

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8936038

John Anthony C. Jose, Justine Veronica Basco, Jomar Kenneth Jolo, Patrick Kenneth Yambao, M. Cabatuan, A. Bandala, Phoebe Mae L. Ching, E. Dadios

{"title":"Spherical Mobile Robot for Monitoring and Tracking Children Indoors","authors":"John Anthony C. Jose, Justine Veronica Basco, Jomar Kenneth Jolo, Patrick Kenneth Yambao, M. Cabatuan, A. Bandala, Phoebe Mae L. Ching, E. Dadios","doi":"10.1109/ACIRS.2019.8936038","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8936038","url":null,"abstract":"Families around the world continue to suffer the loss of a child due to unintentional injuries caused by accidents that could have been prevented. Stationary monitoring solutions are widely used to aid in the prevention of such situations. However, these technologies present certain gaps that the researchers would like to address by adding a real time notification ability and an ensured way of continuously monitoring by making sure that the test subject will never be lost by the intended solution. This research paper presents the hardware division of a technological solution to child monitoring by developing a semi-autonomous spherical robot to follow a child as the subject moves throughout the room. The spherical robot would have the ability to manually navigate around two controlled test setups: living room and child’s playroom. The robot would also be able to distinguish designated safe zones and danger zones with the help of the RFID technology. The real time notification ability will be highlighted by giving the robot the feature of sending SMS messages to the subject’s parent or guardian indicating the time and place of where the child last exited. The manual navigation was tested with the use of two controlled test setups and the notification system utilizing the RFID technology was tested thirty times in six various places having different signal strengths ranging from -50 dBm to -120 dBm.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"36 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131179850","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: 3

Ensemble Empirical Mode Decomposition of Photoplethysmogram Signals in Biometric Recognition 生物特征识别中光容积图信号的集合经验模态分解

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935943

Lea Monica B. Alonzo, Homer S. Co

引用次数: 0

Study on Automatic PID Gain Adjustment for a Four-rotor Flying Robot using Neural Network 基于神经网络的四旋翼飞行机器人PID增益自动调节研究

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8936012

Bin Zhang, S. Furukawa, Hun-ok Lim

引用次数: 0