Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, H. Glotin
{"title":"Applications of an Ultra Low-Power Analog Wake-up Detector for Environmental IoT Networks and Military Smart Dust","authors":"Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, H. Glotin","doi":"10.1109/IOTAIS.2018.8600893","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600893","url":null,"abstract":"Being used for synchronizing and triggering environmental and military Internet of Things (IoT) wireless networks, an ultra low power wake-up system based on frequency analysis is presented in this paper. With an average power consumption of 34μW, this wake-up detector is able to detect signals in different frequency bands, generating a separate output interrupt for each of them. Adding an additional frequency band detector only costs an additional 500nA. Applications to data retrieval in a military smart dust using a drone on a battlefield, and for activation and synchronization of a environmental wireless sensor network are presented. This later uses a multi-frequency light pulses burst propagation algorithm for triggering a whole wireless sensor network in harsh conditions such as a dense rain forest in 50ms, and for synchronizing it with a timing precision of less than 20μs in a large network.","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":"128237884","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}
I. W. A. Suranata, G. Suweken, Sariyasa, N. N. K. Krisnawijaya, I Nyoman Kusuma Wardana, K. Aryanto
{"title":"Sub-1Ghz Low-Power Wireless Node For IoT Based Smart Home System","authors":"I. W. A. Suranata, G. Suweken, Sariyasa, N. N. K. Krisnawijaya, I Nyoman Kusuma Wardana, K. Aryanto","doi":"10.1109/IOTAIS.2018.8600886","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600886","url":null,"abstract":"Internet of Things (IoT) development is a very challenging topic, and the debate about the actual implementation is still wide open. Various studies have been conducted in term of smart home system based on IoT technology. However, resources that concern on how to practically implement the particular energy-saving and resource efficient technology for smart home need to be improved. In this study, presented the field experiment results related to implementation of low-power node modules using sub 1 GHz LPWAN (low-power wide area network) connectivity. LPWAN technology has unique characteristics, such as a transmit power that in SRD class (short range device) but cellular like coverage range. LPWAN network support star topology by default, so it can overcome the problem of power usage inconsistency, network delay and the complexity of the routing management process found on conventional mesh-based sensor networks. Based on the field experiment result, the furthest distance under outdoor condition could reach up to 350 meters (RSSI −85 dBm) and 150 meters (RSSI −95 dBm) under indoor condition. Based on the power usage test, life-span estimation could reach up to 1 year or 17 years depend on the scenarios and battery types.","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":"134288336","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}
Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, H. Barthélemy, R. Vauché, H. Glotin
{"title":"Analog Ultra Low-Power Acoustic Wake-Up System Based on Frequency Detection","authors":"Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, H. Barthélemy, R. Vauché, H. Glotin","doi":"10.1109/IOTAIS.2018.8600849","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600849","url":null,"abstract":"An ultra low power acoustic wake-up detector based on high frequency signal analysis is presented in this paper. Focused on environmental or military Internet of Things (IoT) applications, it aims at detecting in real time the presence of specific animal species or drones for generating alerts and for triggering power consuming tasks such as high frequency signal recording only when needed. This wake-up detector continuously monitors the presence of specific frequencies in an analog acoustic signal, with a good frequency selectivity and a high frequency detection capability. It is based on an ultra-low analog frequency to voltage converter using a current-mirror, analog timers and comparators. Dedicated to long term stealth environmental or military surveys, a strong emphasis has been put on power consumption reduction in order to limit size and weight of the system. This power consumption has been reduced to 34μW, leading to a full year of autonomy including the microphone when powered by 3 coin cell CR2032 batteries.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"16 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":"132582905","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}
Neha V. Karanjkar, Ashish Joglekar, Sampad B. Mohanty, Venkatesh Prabhu, D. Raghunath, R. Sundaresan
{"title":"Digital Twin for Energy Optimization in an SMT-PCB Assembly Line","authors":"Neha V. Karanjkar, Ashish Joglekar, Sampad B. Mohanty, Venkatesh Prabhu, D. Raghunath, R. Sundaresan","doi":"10.1109/IOTAIS.2018.8600830","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600830","url":null,"abstract":"This paper presents a case study for the use of an IoT-driven digital twin for energy optimization in an automated Surface Mount Technology (SMT) PCB assembly line containing legacy machines. The line was instrumented with multiple sensors for measuring machine-wise activity and energy consumption. A software platform for data aggregation and a discrete-event digital twin of the line were built entirely using open-source tools. Based on the insights gained from data collected over several days, we propose a buffering-based solution for improving the energy efficiency of the line, and evaluate its impact using simulations of the digital twin. The results show that a 2.7x reduction in the energy consumption is possible via buffer insertion without significantly affecting line throughput.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"33 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":"125364211","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}
Arvin Bandong, C. Felizardo, C. Festin, Wilson M. Tan
{"title":"Opportunistic Wardriving Through Neighborhood Public Utility Vehicles as an Alternative to Crowdsourcing and Dedicated Wardriving for Wireless Network Data Collection","authors":"Arvin Bandong, C. Felizardo, C. Festin, Wilson M. Tan","doi":"10.1109/IOTAIS.2018.8600890","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600890","url":null,"abstract":"In the Philippines, efforts are being made to address inaccessibility of Internet access by 42% of the population. One such service installs Wi-Fi hotspots in public areas and government buildings. To make the service more effective, data on Wi-Fi access point deployment is vital. While there exist platforms for crowdsourced data submission such as WiGLE, and methods such as dedicated wardriving, these can be costly, infrequent, and can easily become outdated. Regular data collection on Wi-Fi access points is necessary for better accuracy. For regular, inexpensive, and frequent data gathering, opportunistic wardriving is proposed, in which neighborhood public utility vehicles, such as the tricycle, are utilized to serve as vehicles for gathering network data. Leveraging public utility vehicles is inexpensive, and ensures regularity of data gathering because of their usual trips. Comparing this method with crowdsourced data, it is found that opportunistic wardriving is able to find at least 60% of the access points in an area. Opportunistic wardriving also ensures wide coverage of an area, accessing 83% of the chosen location, Brgy. Teachers Village East, in forty trips. It is hoped that this study will aid in understanding an inexpensive method for gathering information on Wi-Fi deployment in various areas.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"43 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":"116891640","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}
{"title":"Realization of IPv6 connectivity via RS485 fieldbus by adaption of 6LoWPAN","authors":"Steffen Späthe, C. Prater","doi":"10.1109/IOTAIS.2018.8600895","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600895","url":null,"abstract":"As the internet protocol is the de-facto standard for communication on the internet even very constrained devices with low computing power, working memory and battery power capacity should be addressable via an IP-based network infrastructure. To fulfil this necessity communication with wireless devices could be realized by applying 6LoWPAN. Wireless sensor networks are a main topic nowadays, but sometimes a well structured, wire-based infrastructure is more suitable.Based on this assumption we transferred basic 6LoWPAN concepts, ideas, and two implementations from an IEEE 802.15.4-based wireless to a wire-based RS485 network. In this paper, we outline our main objectives and decision points of this transformation process from a technical point of view.We highlight our crucial adoption steps and main changes to bring IPv6 network capability to RS485. Contiki and GNU/Linux implementations for our IPv6 over RS485 approaches were realised to verify correct functionality.With this work we enable tiny devices to be integrated efficiently into IPv6 networks without the necessity of equipping them with Ethernet controller or other expensive hardware components, avoid translation and transformation steps in the gateways, and so speed up development.","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":"116501974","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}
{"title":"Lie Detector With The Analysis Of The Change Of Diameter Pupil and The Eye Movement Use Method Gabor Wavelet Transform and Decision Tree","authors":"Zuhrah Labibah, Muhammad Nasrun, C. Setianingsih","doi":"10.1109/IOTAIS.2018.8600918","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600918","url":null,"abstract":"The lie is very detrimental to the fraudulent acts of many people who were cheated. The lies are common in the general population. To be able to reveal a lie we can detect through some limbs that unconsciously will show a different reaction when someone is lying. Among them, through organs of our eyes can detect someone is lying or not.Lie detection discussed in this final Task is the eyes, namely with the object of eye tracking and eye pupil diameter changes by using method of Wavelet Transform to Gabor Image Processing process and afterwards perform the classification to determine the answer someone is lying or not by using a Decision Tree. The existence of this lie detector, is expected to be helpful for people who need to detect lies. With the final test results are accurate. This research has the precision value of 97%, 94%, and recall accuracy 95% of testing has been done.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"93 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":"130197661","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}
{"title":"Application of Image Classification Methods for Protection against Inappropriate Information in the Internet","authors":"A. Chechulin, Igor Kotenko","doi":"10.1109/IOTAIS.2018.8600896","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600896","url":null,"abstract":"The paper applies image classification techniques to protect users of the Internet from inappropriate information. It describes a modular hierarchical classification system and proposes an approach to integrate image classification modules without additional retraining. The experiments devoted to the integration of an image classification module into the current infrastructure of the Web classification system are outlined and analyzed.","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":"128692085","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}
{"title":"Smart ECG Holter Monitoring System Using Smartphone","authors":"L. N. Mahdy, Kadry Ali Ezzat, Qing Tan","doi":"10.1109/IOTAIS.2018.8600891","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600891","url":null,"abstract":"The Prevention of cardiovascular disease requires continuous monitoring of cross-clock ECG signals along with the activity status. Traditional ECG Holter has numerous electrodes connected to the chest, which is heavy, so it is very difficult to carry by the patient, so ECG monitoring usually requires the patient to stay in the hospital for a long time. This paper presented a small ECG Holter device that was developed to detect arrhythmias in real-time based on Android mobile application. The ECG signals are obtained directly through ECG’s three-electrode sensor then transmitted through a Bluetooth module to Android smartphone. Prepossessing ECG signal algorithm is implemented on Arduino Device. Android mobile application analysis and classify patient’s ECG data to detect abnormal signs. Data used in testing and training was 303 cases acquired from El-Monofia University, 162 cases were normal, and 141 cases were abnormally divided into 57 cases were Coronary Artery Disease, 36 cases were Old Anterior Myocardial Infarction, and 48 cases were Sinus tachycardia. The experimental results show that the presented system’s performance has been improved in the accuracy of diagnosis of arrhythmias and the identification of the most widely recognized anomalies in various activities.","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":"130624938","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}
{"title":"Potential Level Detection of Skin Cancer with Expert System Using Forward Chaining and Certainty Factor Method","authors":"Reinaldi Nur Pranata, A. Osmond, C. Setianingsih","doi":"10.1109/IOTAIS.2018.8600855","DOIUrl":"https://doi.org/10.1109/IOTAIS.2018.8600855","url":null,"abstract":"Skin cancer is the abnormal growth of skin cells that can not be controlled. Skin cancer appears when the DNA is damaged skin cells (mostly due to ultraviolet radiation from the sun) triggers mutations that skin cells grow rapidly, can not be controlled and start forming a tumor. Skin cancer can be overcome if it is detected earlier before spreading or doing metastasis. However, the tendency of people who are indifferent and reluctant to check or consult with doctors make his condition worse without realizing it. Therefore, designed an application for Skin Cancer Detection with Image Processing and Expert System using Forward Chaining and Certainty Factor method. The end result of image processing and expert system in this application is the assessment of High Risk, Low Risk, or Medium Risk of nevus conditions in patients. With the design of this system is expected to help raise awareness to detect early skin cancer. The results in this study show that the application has an accuracy rate of 100%. It shows that this system produces the same results as an expert.","PeriodicalId":302621,"journal":{"name":"2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)","volume":"21 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":"115682646","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}