2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)最新文献_第4页

Pelican Crossing Adaptive Time Arrangement using Convolutional Neural Network 基于卷积神经网络的鹈鹕穿越自适应时间安排

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973343

Randy Putra Resha, R. F. Rachmadi, S. M. S. Nugroho, I. Purnama

{"title":"Pelican Crossing Adaptive Time Arrangement using Convolutional Neural Network","authors":"Randy Putra Resha, R. F. Rachmadi, S. M. S. Nugroho, I. Purnama","doi":"10.1109/CENIM48368.2019.8973343","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973343","url":null,"abstract":"Pedestrian is one of the important entities for the urban city and various facilities are already provided by the government to make pedestrian walking more safe and comfortable, including the pelican crossing system. Pelican crossing is designed for urban area and it will stop the traffic (by changing the traffic light to red) if pedestrians press a specific button. The main problem of pelican crossing is that the crossing time is fixed and it not adjusted based on the condition of the pedestrian, e.g. number and walks speed of the pedestrian. In this paper, we propose an adaptive time arrangement system on pelican crossing using convolutional neural network (CNN) classifier. The system is built using two different cameras, with the first camera pointing to the pedestrian waiting area and other camera pointing to the pelican crossing. We utilize MobileNet-SSD (Single Shot Detector) CNN architecture that originally used for object detection problem. The MobileNet-SSD CNN classifier was trained using MS-COCO dataset for the first step and fine-tuned the weights on VOC dataset. We remove all VOC categories except for person class because the class will be used for pedestrian detection in the proposed system. The pedestrian crossing time is then calculated based on the detected pedestrian and some predefined pedestrian walk speed and start-up time. To test the proposed system, we have collected several videos that represented the real system environment and conducted experiments on those data. Experiments show that the system is feasible to use in the pelican crossing situation with some appropriate configuration recommendation.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"2 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":"124010981","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

引用次数: 6

CENIM 2019 Keynnotes

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/cenim48368.2019.8973345

引用次数: 0

Cellphone Awareness Inside Vehicles Using Embedded Device And Android Application 使用嵌入式设备和Android应用程序的车辆内手机感知

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973321

Tashfiq Rahman, A. Zaini, C. Arpnikanondt, A. Kurniawan

{"title":"Cellphone Awareness Inside Vehicles Using Embedded Device And Android Application","authors":"Tashfiq Rahman, A. Zaini, C. Arpnikanondt, A. Kurniawan","doi":"10.1109/CENIM48368.2019.8973321","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973321","url":null,"abstract":"Over recent years, cellphone use while driving has become an alarming problem. There has been an increasing rate of accidents concerning distracted driving. Therefore, the motive of this work has been to focus on removing distractions involving notifications on mobile phones to try and discourage or prevent the use of mobile phones while driving. The android application is designed to help drivers to focus on their driving. The buzzer placed inside the car is made to remind the driver to switch to Driving-Mode before they begin to drive and to not be interrupted while driving. The application enables this feature simply with the press of a button.The research for this work led to the development of an application which was compatible for android smartphones with android versions of 6.0 and above. The testing was only conducted inside private cars and the range of the access point was limited throughout the area inside the car. This system was however, not tested using large vehicles. The connectivity of the smartphones and the access point proved to be successful. Although the average time required for the access point to set up was 3 seconds. The range was also measured, and it was concluded that the connection remained stable up to a diameter of 2 meters.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"78 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":"116105707","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

Minimizing the Losses and the Cost of a Radial Network using Firefly algorithm: a real case study Diesel-PV-Batteries Hybrid system of Tomia Island, Southeast Sulawesi, Indonesia 使用萤火虫算法最小化径向网络的损失和成本:以印度尼西亚苏拉威西岛东南部Tomia岛柴油-光伏-电池混合系统为例

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973307

M. Abdelwareth, I. Robandi, D. Riawan, R. S. Wibowo

引用次数: 0

Deploying Scalable Face Recognition Pipeline Using Distributed Microservices 使用分布式微服务部署可扩展的人脸识别管道

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973287

Tahta D. Timur, I. Purnama, S. M. S. Nugroho

{"title":"Deploying Scalable Face Recognition Pipeline Using Distributed Microservices","authors":"Tahta D. Timur, I. Purnama, S. M. S. Nugroho","doi":"10.1109/CENIM48368.2019.8973287","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973287","url":null,"abstract":"Over the past few decades, deep learning has been a remarkable technique in solving numerous problems in application domains, such as facial detection and recognition. With the existence of facial datasets, neural network models, and deep learning frameworks, one can develop and train deep neural network models on a monolithic (single host) system with ease. However, at the deployment stage, this deployment method is no longer feasible due to the increasing volume of the given data. To address this problem, we propose a scalable architecture for deploying a deep learning-based facial recognition system using distributed microservices. In this work, we use Docker as the container platform, although practically one may use any platform with the same capabilities. By encapsulating the whole system to Docker images, we can deploy deep learning applications into containers and computational intensive containers are distributed throughout the cluster. With this horizontally scalable cluster, the system can process virtually any size of data. Experimental result suggests that the proposed method is a feasible solution, as there is no noticeable computational overhead when deploying deep learning-based facial recognition system when using container-based virtualization.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"11 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":"122612549","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

Comparison of Difference, Relative and Fractional Methods for Classification of The Black Tea Based on Electronic Nose 基于电子鼻的红茶差异、相对和分式分类方法的比较

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973308

D. Lelono, Hanif Nuradi, Muhammad Rangga Satriyo, T. W. Widodo, Andi Dharmawan, J. E. Istiyanto

{"title":"Comparison of Difference, Relative and Fractional Methods for Classification of The Black Tea Based on Electronic Nose","authors":"D. Lelono, Hanif Nuradi, Muhammad Rangga Satriyo, T. W. Widodo, Andi Dharmawan, J. E. Istiyanto","doi":"10.1109/CENIM48368.2019.8973308","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973308","url":null,"abstract":"The ability of electronic nose (e-nose) in classifying is determined by methods used in preprocessing, features extraction, and pattern recognition. Each method has advantages in choosing unique features that are hidden in sensor response. Comparison of the methods is used to obtain the best approach in preprocessing. The aroma of black teas (Broken Orange Pekoe, Broken Pokoe II, and Bohea) was measured 160 times. Sensor response is processed with three preprocessing models, and features are extracted using the maximum method. The best method is determined based on the classification of three black teas that are formed, and it was carried out after data clustering was successfully made with principal component analysis (PCA). As a result, three black teas can be clustered with 98.0% of total variant of data. In general, classification can be done with these methods. However, the best classification uses difference because signal amplitude high, difference amplitude between signals and noise are small.","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":"130183281","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

The Obstacle Avoidance System In A Fixed-Wing UAV When Flying Low Using LQR Method 基于LQR法的固定翼无人机低空避障系统

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973292

Andi Dharmawan, A. E. Putra, I. M. Tresnayana, Wahyu Agung Wicaksono

{"title":"The Obstacle Avoidance System In A Fixed-Wing UAV When Flying Low Using LQR Method","authors":"Andi Dharmawan, A. E. Putra, I. M. Tresnayana, Wahyu Agung Wicaksono","doi":"10.1109/CENIM48368.2019.8973292","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973292","url":null,"abstract":"A fixed-wing Unmanned Aerial Vehicle (UAV) is widely used for military and civilian needs to carry out monitoring missions at low altitudes. In the monitoring mission, many obstacles are in front of the UAV flight path so that it can interfere with the UAV flights. Therefore, the UAV requires a control system to avoid these obstacles without causing excessive overshoot. The obstacle avoidance system in this research uses the Linear Quadratic Regulator (LQR) method. LQR plays a role in producing full state feedback gain K. The deflection angle of all control surfaces and Pulse Width Modulation (PWM) signals as brushless motor rotational speed regulators are set to produce a force and torque according to the result of the full-state feedback controller. Control phase of avoiding obstacles is divided into three, namely cruise, climb, and descent. This research shows that LQR-based controls play a role in stabilizing UAV motion when avoiding obstacles. The obstacle avoidance process follows a pattern generated by the flight pattern generator.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"47 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":"130126617","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

Gamelan Notation Generating Using Band Pass Filter for Saron Instrument 用带通滤波器生成萨隆乐器的甘美兰乐谱

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973259

Y. Suprapto, E. M. Yuniarno, Kafiyatul Fithri

{"title":"Gamelan Notation Generating Using Band Pass Filter for Saron Instrument","authors":"Y. Suprapto, E. M. Yuniarno, Kafiyatul Fithri","doi":"10.1109/CENIM48368.2019.8973259","DOIUrl":"https://doi.org/10.1109/CENIM48368.2019.8973259","url":null,"abstract":"Gamelan notation generally has many variations depending on the artist who wrote it. The way to teach Javanese teacher gamelan to his students is not according to the standard notation because it is only through oral and dependent on memory. Then we need an analysis of the recording of gamelan music notation so that it becomes a musical notation to determine whether or not the notation has been played.The research was carried out with compositions of synthetic, semi-synthetic and acoustic music. The research was conducted to find saron tone notation with slendro tone. Sound data is analyzed by displaying signals in the time domain. The saron frequency is obtained by transforming the signal from the time domain to the frequency domain. Saron frequency obtained in the frequency range of 500 Hz to 1200 Hz. The results of the formation of notations in synthetic signals have 100% accuracy and semi synthetic at 100%. While the formation of musical notation on the acoustic signal of two instruments Saron and Bonang has an accuracy of 62.07% and accuracy in orchestral music is 92%.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"59 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":"133042185","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

Development of Casual Game on Android Devices for Children with Diabetes Type 1 Treatment 针对1型糖尿病儿童的Android设备休闲游戏开发

2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2019-11-01 DOI: 10.1109/CENIM48368.2019.8973327

Susi Juniastuti, Husni Mubarok Al Ghifari, S. M. S. Nugroho, I. Purnama

引用次数: 1