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

Prototype of Driving Behavior Monitoring System Using Naïve Bayes Classification Method 基于Naïve贝叶斯分类方法的驾驶行为监测系统原型

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973232

Eko Pramunanto, A. Zaini, Vathya Rizkiana

引用次数: 1

Health Level Classification of Motor Stroke Patients Based on Flex Sensor Using Fuzzy Logic Method 基于柔性传感器的运动脑卒中患者健康水平模糊分类

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973257

Anang Habibi, S. M. S. Nugroho, I. Purnama, Yudith Dian Prawitri, I. Subadi

{"title":"Health Level Classification of Motor Stroke Patients Based on Flex Sensor Using Fuzzy Logic Method","authors":"Anang Habibi, S. M. S. Nugroho, I. Purnama, Yudith Dian Prawitri, I. Subadi","doi":"10.1109/CENIM48368.2019.8973257","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973257","url":null,"abstract":"The wrist monitoring system, especially in stroke patients, has been developed in several countries using two types of sensors, IMU, Leap Motion, flex sensors and force sensors. However in a monitoring system that was developed to only detect changes in data, no classification of stages / stages of recovery has been found. By combining the flex sensor and force sensor with fuzzy classification into a monitoring system, it is able to determine the stage / level / level of recovery that has been achieved. The healing level / level displayed will motivate the stroke patients to be more active in their recovery and become a diagnosis that helps the medical team, especially doctors, in evaluating and determining the next stage of the exercise. The data set for each flex sensor and force sensor is known to be based on 50 experiments on each different user and in each flex dataset and force sensor it varies. The kilogram sensor force unit is converted to Newton by adding the earth’s gravity coefficient 9,80665 m/s2. The stage of fertility is divided into 3 stages, weak, medium and normal. The results of the fuzzy system test on the user’s right hand who have never had a stroke show good data readings, and the percent error obtained is 0%. The force sensor is able to read but not sensitive enough as some data still not readable and need additional sponges to increase ease in reading data. In conclusion from testing running programs, KNN is better than fuzzy.","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":"114911366","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

Model Prediction Control for Missile Autopilot and Navigation 导弹自动驾驶与导航模型预测控制

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973362

Tommy Pratama, Rusdhianto EA Kadir, Z. Hidayat

引用次数: 0

CENIM 2019 Committees

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/cenim48368.2019.8973361

引用次数: 0

Integrated Smart Safety Home System based on Wireless Sensor Network and Internet of Things as Emergency Preventive Efforts in Settlement Areas 基于无线传感器网络和物联网的集成智能安全家居系统作为居民点应急防范工作

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973328

Eko Pramunanto, M. Muhtadin, William Febrian

{"title":"Integrated Smart Safety Home System based on Wireless Sensor Network and Internet of Things as Emergency Preventive Efforts in Settlement Areas","authors":"Eko Pramunanto, M. Muhtadin, William Febrian","doi":"10.1109/CENIM48368.2019.8973328","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973328","url":null,"abstract":"Securing settlement areas is still being carried out with the help of security guards who monitor from one house to another. However, security guards can only guard the outside of the house without knowing the conditions inside. Meanwhile, the smart home system is one of the technologies that continues to be developed to monitor the latest conditions in the house. In this work, a system that can actually monitor the condition of each house is made by integrating the technology and utilizing three main sensors, that consist to fire, gas, and motion sensors. This system has advantages in terms of the installation of hardware that is flexible and can be adjusted to the needs. In addition, security guards can also find out the conditions in each house and also get actual notifications through the application that has been designed. From the system designed it can be concluded that the system in the house is able to send information on the conditions in it when activated, including the danger conditions to activate the alarm. From the hardware testing, the sensitivity of the fire sensor node is strongly influenced by the color of the fire, the magnitude of the fire, and the detection distance. In addition, gas sensor nodes can provide a quick response when installed near the source of the leak. Last, the PIR sensor nodes can detect the movement of people in an angle of 104.8628159° with a distance of not less than 7 meters.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"51 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":"114352065","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

Footsteps Counter Using Variances Analysis of Three-Dimensional Accelerometer Data 基于三维加速度计数据方差分析的脚步计数器

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973364

A. Kurniawan, Jalaluddin Al-Mursyidy Fadhlurrahman, E. M. Yuniarno

{"title":"Footsteps Counter Using Variances Analysis of Three-Dimensional Accelerometer Data","authors":"A. Kurniawan, Jalaluddin Al-Mursyidy Fadhlurrahman, E. M. Yuniarno","doi":"10.1109/CENIM48368.2019.8973364","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973364","url":null,"abstract":"The unhealthy diet then overcomes various diseases such as hypertension, diabetes, obesity, heart disease, and others. To avoid the risk of being overcome by the diseases, the community must familiarize a healthy lifestyle, such as making a healthy and regular diet with diligent exercise. One type of exercise that can be carried out by all levels of society without spending is walking exercise. Ministry of Health of Republic of Indonesia, as well as experts, recommends exercising as many as 1,000 steps to walk as a minimum target, and 10,000 steps everyday as a long-term target. So, a device is needed to be able to count the number of footsteps. The device is built by using an accelerometer sensor where the data is processed within Arduino Nano microcontroller to be sent to the user’s mobile phone to be displayed. The data processing is done by calculating the variance from each accelerometer sensor’s axis, and add them up. Then, the microcontroller calculates the difference of the sum from its average. The result of this calculation determines the threshold value to count footsteps. From the total of 18 tests, it was found the average accuracy of the device was 91,48%.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"14 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":"127636563","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

Sentiment Analysis of Customer Satisfaction on Transportation Network Company Using Naive Bayes Classifier 基于朴素贝叶斯分类器的交通网络公司顾客满意度情感分析

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973262

Eka Yulia Sari, Akrilvalerat Deainert Wierfi, A. Setyanto

{"title":"Sentiment Analysis of Customer Satisfaction on Transportation Network Company Using Naive Bayes Classifier","authors":"Eka Yulia Sari, Akrilvalerat Deainert Wierfi, A. Setyanto","doi":"10.1109/CENIM48368.2019.8973262","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973262","url":null,"abstract":"The development of smartphones with a geopositioning system (GPS) embedded on it, paves a way to the online transportation service application. Since then, online transportation platforms such as Gojek and Grab gain its popularity. Transportation network companies such as Gojek and Grab use social media as advertisement media and source of user reviews. Public communicate their opinion about their experience of using an online transportation service through social media. Sentiment analysis helps to extract people’s opinions, sentiments, evaluations, and emotions concerning user experience of certain services. This research considers sentiment in level which is positive, neutral and negative with uses twitter data as the data source. A preprocessing task ensures the quality of the data, cleansing, filtering, tokenizing and stemming were performed before the classification task. From the evaluation result, classification using Bayes Naive algorithm succeeded get accuracy of 72.33% with average recall and precision of 73.95% and 73.24%.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"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":"127717015","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: 11

CENIM 2019 Message from the General Chair 2019年CENIM大会主席致辞

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/cenim48368.2019.8973296

引用次数: 0

Development of Mobile Applications and Low Cost Portable Pesticide Residue Detector using Visible Light Spectroscopy 基于可见光谱学的移动应用和低成本便携式农药残留检测器的开发

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973331

A. W. Setiawan, Ferriady Setiawan, Muhamad A.A.E. Assaidi, Dasi E. Akbar, R. Mengko

引用次数: 0

Combining Photometric Features and Relative Position to Detect and Track Target Person 结合光度特征和相对位置检测和跟踪目标人

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973349

B. S. B. Dewantara, J. Miura

引用次数: 0