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2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)最新文献

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Human Bone Localization in Ultrasound Image Using YOLOv3 CNN Architecture 基于YOLOv3 CNN架构的超声图像人骨定位
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973372
R. Lazuardi, T. Karlita, E. M. Yuniarno, I. Purnama, M. Purnomo
{"title":"Human Bone Localization in Ultrasound Image Using YOLOv3 CNN Architecture","authors":"R. Lazuardi, T. Karlita, E. M. Yuniarno, I. Purnama, M. Purnomo","doi":"10.1109/CENIM48368.2019.8973372","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973372","url":null,"abstract":"Localization of human long bones in ultrasound images has quite complex challenges. This is due to a representation of the reflection of a sound wave emitted by a B-scan sensor. The ultrasound scan does not only display bone specimens, but also contains muscles, soft tissue, and other parts under the skin tissue Therefore we need a system that can automatically recognize bone specimens in ultrasound images. This study implements deep learning based learning systems using the convolutional neural network (CNN) method with YOLOv3. The training results from the network detector with IoU threshold 0.5 can recognize bone objects in mAP@50, mAP@75 and mAP@50:95 with values of 99.98, 97.68 and 85.67 respectively. And for the results of training the network detector with IoU threshold 0.75 can recognize bone objects in mAP@50, mAP@75 and mAP@50:95 with values of 99.96, 97.46 and 86.35 respectively.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115439763","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
CENIM 2019 Program
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/cenim48368.2019.8973344
{"title":"CENIM 2019 Program","authors":"","doi":"10.1109/cenim48368.2019.8973344","DOIUrl":"https://doi.org/10.1109/cenim48368.2019.8973344","url":null,"abstract":"","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"32 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121840241","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
Autonomous Navigation and Obstacle Avoidance For Service Robot 服务机器人自主导航与避障
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973360
Muhtadin, Raden Marwan Zanuar, I. Purnama, M. Purnomo
{"title":"Autonomous Navigation and Obstacle Avoidance For Service Robot","authors":"Muhtadin, Raden Marwan Zanuar, I. Purnama, M. Purnomo","doi":"10.1109/CENIM48368.2019.8973360","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973360","url":null,"abstract":"The dramatic increase in the elderly population, along with the explosion of costs, poses problems for the community. Therefore, an alternative way is needed to provide care to the elderly. Robot technology at the same time, it is undergoing progress triggered by increased computing and a decrease in the cost of sensor technology. In the application of robot service for elderly people, we need a robot that is able to follow the elderly people automatically, so the robot’s operation would be disrupted if the environment changed, for example, if there are new obstacles on the robot track or the robot is moved to another room. The problem faced by an autonomous mobile robot is mapping, localization and navigation. These three elements are SLAM building elements. This study aims to overcome these problems. In this research, the mapping and localization process was carried out using the library RTABMap. For navigation, the path that the robot must pass from a start point to goal point is created using the A* (A-star) algorithm. Whereas to avoid obstacles, we use the Dynamic-Window Approach and costmap algorithms. Based on the results of the study, the robot has succeeded in mapping in a new environment that the robot did not know before, localizing it using visual features of the environment, detecting new obstacles that were not previously on the map, applying the A* algorithm to do path planning and automatically navigate using the path plan that has been created.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"416 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134419746","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: 4
Missile Guidance Design Using Sliding Curve Method 滑动曲线法导弹制导设计
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973306
Leonard Wihardi, R. E. A. Kadir, Z. Hidayat
{"title":"Missile Guidance Design Using Sliding Curve Method","authors":"Leonard Wihardi, R. E. A. Kadir, Z. Hidayat","doi":"10.1109/CENIM48368.2019.8973306","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973306","url":null,"abstract":"Missile guidance design problem for missile is considered in this paper. Guidance system is an important part of the missile to navigate it to reach and hit the target. The guidance system provides input to the autopilot to direct the missile flight. We proposed missile guidance design based on the sliding curve method to follow a specified path. In this method, the missile is guided according to a pre-determined trajectory by giving reference orientation angles to the missile autopilot system. The reference orientation angles are acquired through calculating the relative position between missile and the trajectory itself. Dubins curve is employed to create a smooth reference trajectory for the missile. The effectiveness of the method is shown by simulating the method a missile that flew following several paths.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"19 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133106413","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
Screening of Non-overlapping Apnea and Non-apnea from Single Lead ECG-apnea Recordings using Time-Frequency Approach 用时频法筛选单导联心电图呼吸暂停记录的非重叠呼吸暂停和非重叠呼吸暂停
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973250
Iman Fahruzi, I. Purnama, M. Purnomo
{"title":"Screening of Non-overlapping Apnea and Non-apnea from Single Lead ECG-apnea Recordings using Time-Frequency Approach","authors":"Iman Fahruzi, I. Purnama, M. Purnomo","doi":"10.1109/CENIM48368.2019.8973250","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973250","url":null,"abstract":"This study focused on extracting to finding differences between apnea events and non-apnea events using time-frequency approach. This approach is of particular relevance to obtain the efficiency and accuracy of the support system for the classification model. Heart rate variability(HRV) was calculated using the statistic and frequency approach based on the time-frequency domain. The analysis of HRV, about the occurrence of the short recording, was performed selecting two segments: a class of apnea events and a class of non-apnea events. The experiment findings of the statistical analysis of our feature extraction showed time-domain feature estimation with Heart rate means (BPM) slightly higher for non-apnea events about mean ± standard deviation (72(±4)). The frequency-domain features, at VLF, LF and HF power of apnea events, are monitored over time with non-apnea events. The overall experiment indicates a significantly different feature value in the heart rate during examining apnea events and non-apnea events.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"44 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114026087","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
Fish Quality Recognition using Electrochemical Gas Sensor Array and Neural Network 基于电化学气体传感器阵列和神经网络的鱼类品质识别
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973369
M. Rivai, Misbah, M. Attamimi, Muhammad Hamka Firdaus, Tasripan, Tukadi
{"title":"Fish Quality Recognition using Electrochemical Gas Sensor Array and Neural Network","authors":"M. Rivai, Misbah, M. Attamimi, Muhammad Hamka Firdaus, Tasripan, Tukadi","doi":"10.1109/CENIM48368.2019.8973369","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973369","url":null,"abstract":"Identification of the fish quality is needed to determine the level of freshness so that it can be consumed safely. Usually, the recognition of the fish quality through physical and odor examination by humans. This can be dangerous because spoiled fish produces poisonous gas and a pungent odor from the metabolic processes of microorganisms. This study has developed a tool for recognition of the fish quality using an electrochemical gas sensor array and a Neural Network algorithm. The electrochemical gas sensor consists of amperometric and conductometric types. This sensor data is then fed to the Neural Network algorithm which is implemented in the Arduino Due microcontroller. The experimental results show that the fish quality produces a different sensor response. The more fish decay, the greater the sensor response. This system can recognize the fish quality including fresh, half-fresh, and rotten with a success rate of 80%.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117102094","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: 9
Construction of Churn Prediction Model Using Human Voice Emotions Features Based on Bayesian Belief Network 基于贝叶斯信念网络的人声情绪特征流失预测模型构建
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973278
Febri Dwi Cahaya Putra, Agustinus Bimo Gumelar, Siska Susilowati, Immah Inayati, Lukman Junaedi, Ferial Hendrata, Rizky Davit Nugroho, Randy Anwar Romadhonny, W. Setiawan
{"title":"Construction of Churn Prediction Model Using Human Voice Emotions Features Based on Bayesian Belief Network","authors":"Febri Dwi Cahaya Putra, Agustinus Bimo Gumelar, Siska Susilowati, Immah Inayati, Lukman Junaedi, Ferial Hendrata, Rizky Davit Nugroho, Randy Anwar Romadhonny, W. Setiawan","doi":"10.1109/CENIM48368.2019.8973278","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973278","url":null,"abstract":"Predicting customer churn to retain existing customers is a hot topic both in the world of academia and business today. One of them is research the prediction of churn based on customer emotions. Emotion is an important catalyst that affects customers in the process of purchasing services, customer satisfaction in goods and services products, and assessing the level of customer loyalty to companies in the future. Bayesian Belief Network (BBN) will be used in the construction of a churn prediction model that is based on four types of happy, sad, angry, and fear emotions. The results showed that the utilization of human emotional voice classification as a variable in churn prediction can provide predictive results on the Bayesian Belief Network with a churn value of 60% and not churn of 40%.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122014242","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
Virtualization and Exploration of the Garudeya Historical Objects Using Immersive Devices 利用沉浸式设备对Garudeya历史对象进行虚拟化和探索
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973295
S. Sumpeno, Yanuar Ramadhani Achmadianto, A. Zaini, D. Purwitasari
{"title":"Virtualization and Exploration of the Garudeya Historical Objects Using Immersive Devices","authors":"S. Sumpeno, Yanuar Ramadhani Achmadianto, A. Zaini, D. Purwitasari","doi":"10.1109/CENIM48368.2019.8973295","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973295","url":null,"abstract":"Mpu Tantular Museum has a diverse collection of historical objects, one of which is the Garudeya gold jewelry. Garudeya jewelry is one of the artifacts of value that is the heritage of Hindu Buddhist kingdom in Indonesia. No wonder that some parts of Garudeya have been lost and damaged without repair. The replicas on display in the museum have a quality that is not comparable with the original object and the scope of exploration and interaction that can be carried out is very limited. The historical information presented in the museum is also unattractive and very monotonous causing the details of historical objects to be less in-formative. With the creation of virtual museum using immersive technology such as VR with HMD and Leap Motion Controller to represent Garudeya jewelry with a real nuance in the virtual world as a means of entertainment and unique information presentation. That fact is backed by the average respondents that are very attracted in the concept of this application by 70% and 90% of respondents have no difficulty in the exploration and presentation of User Interface. In terms of information presentation there is an increase of 33.3% of the correct answers from the respondents before and after trying the application.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114843407","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
Development of Fatigue Detection Device Based On IR-UWB and Optic Sensor to Driver 基于红外超宽带和光学传感器驱动的疲劳检测装置的研制
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973332
Hanny Boedinoegroho, Adrian Kusuma Rahardjo, A. Kurniawan, I. Purnama
{"title":"Development of Fatigue Detection Device Based On IR-UWB and Optic Sensor to Driver","authors":"Hanny Boedinoegroho, Adrian Kusuma Rahardjo, A. Kurniawan, I. Purnama","doi":"10.1109/CENIM48368.2019.8973332","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973332","url":null,"abstract":"Fatigue is one of the biggest causes of accidents when driving. Therefore, in this research we developed a fatigue detection device for the driver. This device consists of an Impulse Radio-Ultra Wideband (IR-UWB) sensor that serves to detect breathing (respiratory) waves and an Optics Sensor or photoplethysmograph (PPG) sensor that functions to detect the driver’s heartbeat. The results of respiratory wave detection and heart rate will be processed using a single board computer and displayed on the monitor. Initial storage will be carried out on local storage then will proceed to cloud storage. The use of cloud storage will make data storage easier, making it easier to monitor online. The drivers data retrieval process takes place during the day and uses a private car under normal road conditions. The results of data retrieval and testing of the device will give a warning to the driver. The warning occurs if the heart rate is less than 60 beats per minute (bpm) and the is is less than 12 breaths per minute. The accuracy of each sensor in the data collection process are 98% for optical sensors and 88% to 94% for IR-UWB sensors.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127083456","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
A Shared Secret Key Generation between Vehicle and Roadside Based Preprocessing Method 一种基于车路共享密钥生成的预处理方法
2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973286
Amang Sudarsono, Mike Yuliana, P. Kristalina
{"title":"A Shared Secret Key Generation between Vehicle and Roadside Based Preprocessing Method","authors":"Amang Sudarsono, Mike Yuliana, P. Kristalina","doi":"10.1109/CENIM48368.2019.8973286","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973286","url":null,"abstract":"A secure communication in vehicle-to-roadside (V2R) to protect any possibility of cyberattacks must be considered, since V2R communication allows every vehicle including adversaries to freely communicate with roadside units (RSUs). In this paper, we propose a shared secret key generation extracted from received signal strength (RSS) in V2R communication. We used polynomial interpolation as a preprocessing method to improve RSS correlation between vehicle and RSU. It has low computation time with improving correlation up to 0.9. Then, bits key stream are determined by quantization process and any bit error is repaired by BCH error code correction. The number of keys extracted from bits key stream is about 11 keys. We confirm that all processes consume about 11 seconds, and additional time is about 7 to 9 seconds for channel probing in collecting RSS values on both vehicle and RSU with ping interval time 10 ms, 15 ms or 20 ms.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123351166","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: 6
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