2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)最新文献

LoRaWAN as Secondary Telemetry Communication System for Drone Delivery LoRaWAN作为无人机投送的二次遥测通信系统

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600892

A. Rahmadhani, Richard, Radhika Isswandhana, Andreas Giovani, R. Syah

{"title":"LoRaWAN as Secondary Telemetry Communication System for Drone Delivery","authors":"A. Rahmadhani, Richard, Radhika Isswandhana, Andreas Giovani, R. Syah","doi":"10.1109/IOTAIS.2018.8600892","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600892","url":null,"abstract":"Increasing popularity of drones inspires some people and companies to start using them as end-to-end package delivery tools. Despite reducing delivery time, drones running on batteries typically have a high power consumption relative to their battery capacity to provide power for motors, flight controller, and communication systems. Most drones do not have communication systems that provide a long-range coverage while preserving the power consumption. Developing a long-range and energy-efficient communication system becomes a main concern of this research. In terms of wireless physical layer technology, LoRa becomes one of the possible options due to its power efficiency. LoRaWAN, a de-facto standard protocol for LoRa intended for wide area networking, can be used for drone delivery application. However, it is not suitable for real-time and control-heavy applications. In this paper, the limits of LoRaWAN as a secondary communication mode for drone delivery system are evaluated. The results show that LoRaWAN protocol can still be used for a semi-real-time telemetry purpose in which it can send 10–20 bytes payload regularly with minimum of 2–3 seconds interval. In terms of coverage, the system can achieve up to 8 km in an urban area as tested, using the lowest spreading factor, considering the imperfection factor from the hardware. The percentage of packet loss using this configuration is still tolerable, i.e., up to 5%.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127089232","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: 22

Sentiment Analysis on User Satisfaction Level of Mobile Data Services Using Support Vector Machine (SVM) Algorithm 基于支持向量机算法的移动数据服务用户满意度情感分析

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600884

Rimba Nuzulul Chory, Muhammad Nasrun, C. Setianingsih

{"title":"Sentiment Analysis on User Satisfaction Level of Mobile Data Services Using Support Vector Machine (SVM) Algorithm","authors":"Rimba Nuzulul Chory, Muhammad Nasrun, C. Setianingsih","doi":"10.1109/IOTAIS.2018.8600884","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600884","url":null,"abstract":"Social media today is something that cannot be separated from each person, lik Instagram, twitter, facebook, path, line and many more. Everyone has at least 2 to 5 social media accounts on his smartphone. From this phenomenon its makes social media as a source of data that can be used to seek public opinion instantly.In this paper, sentiment analysis about public satisfaction in using data service of telecommunication operator in Indonesia, either at official account of each cellular operator or using the related keywords with cellular operator. The method used by the author is Support Vector Machine with TF-IDF weighting and utilization of POS Tagging and Negative Handling as improvement of accuracy before classification.In this paper, a system of sentiment analysis classification on the level of user satisfaction of operator data service. That is classification using support vector machine method. SVM with RBF kernel (Radial Basis Function). After preprocessing, POS Tagging is then TF-IDF. The results in this study showed an average f1-score rate of 95,43%, precision 92,45%, recall 93,90% and accuracy 99,01%.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124743940","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: 7

IoT Based Poultry Environment Monitoring System 基于物联网的家禽环境监测系统

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600837

Mohammed Hanif Lashari, A. A. Memon, Syed Asif Ali Shah, Karishma Nenwani, Ferwa Shafqat

引用次数: 17

NPK Soil Nutrient Measurement Prototype Based on Local Binary Pattern And Back-Propagation 基于局部二元模式和反向繁殖的氮磷钾土壤养分测量原型

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600858

R. Sumiharto, Reynaldy Hardiyanto

{"title":"NPK Soil Nutrient Measurement Prototype Based on Local Binary Pattern And Back-Propagation","authors":"R. Sumiharto, Reynaldy Hardiyanto","doi":"10.1109/IOTAIS.2018.8600858","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600858","url":null,"abstract":"Nutrient elements of NPK are macro nutrients that play an important role in the growth and development of plants, therefore it is necessary to measure NPK nutrient content to measure how well soil fertility condition before the land planting period, but NPK measurement through laboratory tests takes a relatively long time. This research develops a prototype of NPK nutrient measurement system based on a mobile application by using soil image for determining the textural characteristic, the textural characteristics are processed with local binary pattern and back-propagation neural network to accelerate the measurement process.Sample data in this research was taken on rice field land in the province of Yogyakarta Special Region by varying the distance at 30 cm to 110 cm with interval 20 cm and angle image capture at −30° to 30° with interval 10°. Datasets were being pre-processed to improve image quality and adjust image format. Preprocessed results are extracted using local binary pattern uniform to obtain texture features. The texture features were being inputted of the neural network model, that being trained with a back-propagation algorithm by varying parameters of the neural network model.The model tested to determine the effect of distance and angle of image capture, system processing speed, and effect of artificial neural network parameters. The best model is implemented on a smartphone application. The results obtained an average of computation time 0.65s, and the optimal result is obtained at distance capture of 50 cm and angle capture of 0° with the measurement accuracy at each soil nutrient level of nitrogen 91.80%, while phosphorus 83.49%, and potassium 82.54%, therefore the average is 84.16%","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125458897","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

Speaker Recognition For Digital Forensic Audio Analysis Using Learning Vector Quantization Method 基于学习向量量化方法的数字法医音频分析的说话人识别

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600852

Danny Bastian Manurung, B. Dirgantoro, C. Setianingsih

{"title":"Speaker Recognition For Digital Forensic Audio Analysis Using Learning Vector Quantization Method","authors":"Danny Bastian Manurung, B. Dirgantoro, C. Setianingsih","doi":"10.1109/IOTAIS.2018.8600852","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600852","url":null,"abstract":"Presently, Biometric features are often used to identify suspects in law enforcement processes. One of these biometric features is Speaker Recognition. Speaker recognition is used to discriminate people by their voice. In this study, the problem that can be solved is how to classify audio sample that exist on the evidence with the voice of the suspect.In this final project is made a application’s prototype that can be used to classify and in that case will be done speaker recognition technique (Speaker Recognition) to be able to classify the speaker’s voice in the evidence and the voice of the suspect. The stages used to compare the sound is by extracting the sound features using the Mel-frequency Cepstral Coefficients (MFCC) method and using the Learning Vector Quantization Neural Network (JST-LVQ) method as the classification method of the voice extraction result.By using LVQ, the accuracy in recognition the speaker’s voice is pretty good. The use of LVQ method produces best accuracy at 73,33% to recognize the speaker that with the same sentence, and 46,67% for different sentence. So the results obtained in accordance with the expected.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628290","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: 8

Exploring Collective Behavior of Internet of Robotic Things for Indoor Plant Health Monitoring 探索室内植物健康监测中机器人物联网的集体行为

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600865

M. Saravanan, Satheesh K. Perepu, Amit Sharma

{"title":"Exploring Collective Behavior of Internet of Robotic Things for Indoor Plant Health Monitoring","authors":"M. Saravanan, Satheesh K. Perepu, Amit Sharma","doi":"10.1109/IOTAIS.2018.8600865","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600865","url":null,"abstract":"In this paper, we present an innovative way of sensing the health of indoor plants and performing actions using social media messaging service as a cost-saving exercise. For this, we explore the use of Internet of Robotic Things (IoRT), the incorporation of robotics aspect into wider IoT environment to transform the present landscape into the fully automated world. The dynamic nature of health of plants is inferred intelligently by the employed machine learning models which take the input readings of the sensors attached to the robotic arm of an autonomous mobile robot. Ericsson’s APPIoT platform is used for storing and analyzing the sensor data in a cloud background for setting newer thresholds. The actuation efforts are shared to a closed community through social media messaging platform like WhatsApp. The community members who received the intimation are expected to take necessary actions immediately. The system has been tested in an indoor environment of the Ericsson office in Chennai where the different types of plant pots are deployed on different floors. By exploring the collective behavior in our system proved to be a cost-efficient way of maintaining the health of the indoor plants.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115819301","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

Automatic Vehicle License Plate Recognition System for Smart Transportation 智能交通车辆车牌自动识别系统

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600829

Nay Htet Lin, Y. Aung, Win Kay Khaing

{"title":"Automatic Vehicle License Plate Recognition System for Smart Transportation","authors":"Nay Htet Lin, Y. Aung, Win Kay Khaing","doi":"10.1109/IOTAIS.2018.8600829","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600829","url":null,"abstract":"Metropolitan cities around the world are putting effort towards a common goal of smart and sustainable urban development as smart cities initiative. To realize smart transportation systems as part of smart cities, automatic recognition of vehicle license plates is essential for border checkpoint control, traffic and red-light violation, monitoring of vehicles entering and leaving critical infrastructures and government agencies. This paper presents an implementation of automatic license plate recognition system using vehicle license plates in Myanmar as a case study. The proposed approach can be used to train for recognition of country-specific vehicle license plates. Collecting more than 1200 actual license plate images, training and evaluating the performance, our implementation achieves 90% accuracy for recognizing characters of the license plates, and 100% accuracy for detecting total number of vehicle license plates in the videos. To the best of our knowledge, we are the first in Myanmar having a dataset of actual license plate images/videos and successfully implemented such an automatic recognition system.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130255423","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: 10

IoT-based Water Quality Monitoring System for Soft-Shell Crab Farming 基于物联网的软壳蟹养殖水质监测系统

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600828

M. Niswar, Sonny Wainalang, A. A. Ilham, Z. Zainuddin, Y. Fujaya, Z. Muslimin, A. W. Paundu, S. Kashihara, Doudou Fall

{"title":"IoT-based Water Quality Monitoring System for Soft-Shell Crab Farming","authors":"M. Niswar, Sonny Wainalang, A. A. Ilham, Z. Zainuddin, Y. Fujaya, Z. Muslimin, A. W. Paundu, S. Kashihara, Doudou Fall","doi":"10.1109/IOTAIS.2018.8600828","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600828","url":null,"abstract":"Farming of soft shell crab has been practiced in south-east Asian countries such as Indonesia. In the crab farming, a poor water quality increases the mortality rate of the crab in the pond. Then, in this paper, we propose a design and implementation of a water quality monitoring system for crab farming using IoT technology to give awareness to a farmer for maintaining acceptable levels of water quality in the pond. Hence, it contributes to increase the survival rate of crab and achieve higher yield of soft shell crab. Our proposed system uses a LoRa-based wireless sensor network and a lightweight Message Queuing Telemetry Transport (MQTT) protocol for exchanging messages between small embedded devices, mobile devices, and sensors. The system mainly consists of sensor node as publishers, and Raspberry pi MQTT broker, and mobile client devices as subscribers. The sensor nodes are built with small embedded devices, LoRa wireless interface, and water quality sensors, i.e. water temperature sensor, pH sensor, and salinity sensor. We also setup a web-based monitoring application using node-red dashboard for accessing water quality levels remotely.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131096934","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: 36

Mobile LoRa Gateway for Smart Livestock Monitoring System 智能牲畜监控系统的移动LoRa网关

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600842

M. Ikhsan, Muhammad Yanuar Ary Saputro, Dian Abadi Arji, R. Harwahyu, R. F. Sari

{"title":"Mobile LoRa Gateway for Smart Livestock Monitoring System","authors":"M. Ikhsan, Muhammad Yanuar Ary Saputro, Dian Abadi Arji, R. Harwahyu, R. F. Sari","doi":"10.1109/IOTAIS.2018.8600842","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600842","url":null,"abstract":"Livestock is an essential commodity, especially in Indonesia, an agricultural country located in the Asia Pacific. Indonesia has vaster Greenland area than any other ASEAN countries. One way to increase livestock production is by implementing Smart Livestock Monitoring System which relies on Internet of Things technology such as LoRa. LoRa and other Low Power Wide Area (LPWA) technologies offer great advantages such as extended transmission range, extended node’s battery life, and a massive number of nodes per gateway support. However, LoRa utilizes sub 1 GHz unlicensed spectrum which has been very crowded since the last decades and will be even more crowded soon following IoT trends. We propose to use mobile LoRa gateway to mitigate this issue. This paper simulates and compares deployments of LoRa using one mobile gateway with one and multiple static gateways. LoRa is simulated using one mobile gateway and compared with one and multiple static gateway deployments. Simulation result shows that one static gateway is better for narrow livestock area because it gives sufficient Data Extraction Rate (DER) value required for data transmission and lowest Network Energy Consumption (NEC) value. Otherwise, for vast livestock area, one mobile gateway is better because of smaller deployment cost and more than sufficient DER value.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"s3-4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127125537","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: 16

The Industrial IoT for Nusantara 努沙塔拉的工业物联网

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI: 10.1109/IOTAIS.2018.8600860

L. Saragih, M. Dachyar, T. Zagloel, Muhammad Satar

{"title":"The Industrial IoT for Nusantara","authors":"L. Saragih, M. Dachyar, T. Zagloel, Muhammad Satar","doi":"10.1109/IOTAIS.2018.8600860","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600860","url":null,"abstract":"IoT (Internet of Things) is the most important technical applications of engineering advancement in the world today, through Industrial Revolution - Industry 4.0. Since people uses phone for more than just daily communication devices, but as wireless smart devices in accessing / processing / sending information through fast telecommunication networks with enhancements embedded in it like cameras, GPS and OTT apps. Various development capabilities on other devices that enable a person to do, social media, video conferencing, video streaming, tracking, navigation, drone, remote, forecast, monitoring, payment and all other things that may be computationally proceed by sensor and actuator devices. The development of cutting-edge technology makes this smart capability to be applied to any device, as well as the ability of devices to interact with each other’s through internet network.IoT as a vital aspect in Industry 4.0, is broadly embodied in smart city (policy driven), smart industry (business driven), and smart life (experience driven) solution. Utilizing the capabilities of Industrial IoT rightly can lead Nusantara appropriate development as a large archipelago and agrarian area that rich of natural resources. This research investigates the concept and IoT’s use cases against variety of socioeconomic and specific geographic challenges, then evaluate based on PESTLE strategic analysis for the external and internal. The result are Development Strategy and Technology for Developing Nations.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132468047","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: 10