{"title":"Monitoring Sake Brewing Processes with Compact Wireless Sensors","authors":"Yui Uehara, S. Ohtake, T. Fukura","doi":"10.1109/ICCE-Berlin47944.2019.8966203","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966203","url":null,"abstract":"This paper shows the results of monitoring Japanese sake brewing processes utilizing IoT technologies. A monitoring system used in this work includes compact wireless sensors. By using the wireless sensors, all the koji/moromi temperatures and their environment can be monitored. The system was practiced for all the products of this year in a brewery. Especially, the results show that the system enables to monitor inside a koji box which cannot be monitored by our previously proposed system.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"12 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120999611","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}
Kwon Lee, Deukhyeon Kim, Hoseok Do, Jihyun Kim, Kyuyeol Chae
{"title":"Effective Photometric Alignment for Surround View Monitoring System","authors":"Kwon Lee, Deukhyeon Kim, Hoseok Do, Jihyun Kim, Kyuyeol Chae","doi":"10.1109/ICCE-Berlin47944.2019.8966185","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966185","url":null,"abstract":"Surround view monitoring (SVM) system provides a composite bird-eye view of the vehicle to assist in safe parking. Since each camera independently performs auto exposure (AE) and auto white balance (AWB), the composite bird-eye view has noticeable boundaries between adjacent views. To achieve a seamlessly stitched bird-eye view, we propose an effective photometric alignment for surround view monitoring system using a simple additive gain model. Experimental results show that the proposed method provides a seamlessly stitched bird-eye view. And the processing time of the proposed method achieves 3ms on the NVIDIA Tegra CX embedded platform.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133743712","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}
Dohun Kim, Heegwang Kim, Jungsup Shin, Yeongheon Mok, J. Paik
{"title":"Real-Time Multiple Pedestrian Tracking Based on Object Identification","authors":"Dohun Kim, Heegwang Kim, Jungsup Shin, Yeongheon Mok, J. Paik","doi":"10.1109/ICCE-Berlin47944.2019.8966205","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966205","url":null,"abstract":"In this paper, we present a novel real-time multiple pedestrian tracking based on object identification. The proposed method decides whether an object detected in the current frame is the same one in the previous frame, and up-dates the coordinate of multiple objects and the corresponding histogram during the tracking process. Experimental results show that the proposed multiple object tracking method out-performs existing methods in challenging situation with partial occlusions","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123848226","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}
J. Flotyński, Dominik Strugala, K. Walczak, Anna Englert, Mikołaj Maik, Adrian Nowak, Tomasz Jenek
{"title":"An Immersive Service Guide for Home Appliances","authors":"J. Flotyński, Dominik Strugala, K. Walczak, Anna Englert, Mikołaj Maik, Adrian Nowak, Tomasz Jenek","doi":"10.1109/ICCE-Berlin47944.2019.8966215","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966215","url":null,"abstract":"Virtual reality is increasingly used in a wide range of applications due to the capabilities of immersive presentation and interaction with realistic 3D content. A broad and potentially prominent area of application of VR are multimedia service and operation guides for home appliances, addressed to both technicians and end-users. In comparison to traditional textual, audio and video guides, VR-based interactive guides can be more adaptable, precise, user-friendly and attractive, which are advantages to both producers and consumers. However, due to the difficulty associated with the creation of such guides, they still gain little attention of manufacturers and distributors of products. In this paper, we present an immersive service guide that illustrates scenarios of repairing and testing induction hobs. The service guide has been developed in the Unity game engine, and runs on smartphones with inexpensive headsets and gesture tracking devices. The guide has been elaborated in cooperation with Amica S.A., which is a major household appliance producer in Poland. The guide can be an important innovation in training of technical staff as well as end users, at the same time serving as a marketing tool, which can attract customers as well as technicians.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115540725","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}
Milica Matic, Sandra Ivanovic, Marija Antic, I. Papp
{"title":"Health Monitoring and Auto-Scaling RabbitMQ Queues within the Smart Home System","authors":"Milica Matic, Sandra Ivanovic, Marija Antic, I. Papp","doi":"10.1109/ICCE-Berlin47944.2019.8966229","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966229","url":null,"abstract":"Smart home solutions rely on their cloud components to provide various administrative functionalities and advanced data processing features, such as alarms, historical data storage, notifications, etc. As the complexity of a cloud system increases, its components need monitoring in order to detect anomalies like system unavailability, unusual load, memory overload, and similar. The monitoring tools collect and store system metrics, which are important not only for anomaly detection, but also for root cause analysis and capacity planing. When an anomaly is detected, an alarm of some sort is typically sent to the system administrator. Usually, human interaction is needed in order to remove the anomaly. In this paper we present a software tool that monitors messages between cloud components of the existing smart home system. This tool aims to provide autonomous reaction of the system to potential problems, and enable auto-scaling, without human interference.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122272932","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":"Super-resolution Image Reconstruction Utilizing High-Precision Skin Color for Face Images","authors":"T. Goto, Keigo Kano, S. L. Phung","doi":"10.1109/ICCE-Berlin47944.2019.8966178","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966178","url":null,"abstract":"In recent years, opportunities to deal with digital images on the Internet have increased due to the information society, there is a great demand for techniques such as super-resolution processing to make images more beautiful. When super-resolution processing is performed on natural images such as scenery, edges are emphasized to obtain clear images. However, when super-resolution processing is applied to a facial image, the wrinkle and stains of the skin as well as the emphasis of hair and eyes are emphasized, so super-resolution processing on the skin part is not suitable. Therefore, in the previous study, we proposed a method to perform facial correction using non-linear filter on skin part, and tried to solve this problem. This method is composed of super-resolution processing and facial correction processing, and it was possible to realize a super-resolution processing with a sharp sense for facial images. However, we also confirmed that there was a problem that the image quality deteriorated according to the skin color detection accuracy at the time of image synthesis of each processed image. Therefore, in this paper, we study the skin color detection method and try to improve the image quality.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122373540","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}
Sandra Ivanovic, Marija Antic, Bojan Jagetić, Milica Matic
{"title":"Performing Administrative Tasks on Multiple Home Automation Gateways","authors":"Sandra Ivanovic, Marija Antic, Bojan Jagetić, Milica Matic","doi":"10.1109/ICCE-Berlin47944.2019.8966194","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966194","url":null,"abstract":"Until recently, smart home solutions have been mostly distributed as of-the-shelf systems, and users were responsible for choosing system components and performing system configuration tasks. However, cable network operators are starting to offer smart home automation as a service, and to include smart home solutions into their tariff packages. Also, the presence of smart home systems is increasing in hotels, offices, restaurants and similar facilities, and the need emerges to provide mechanisms to control multiple similar or identical system setups in a bulk. In this paper, a cloud-component is presented, which enables system administrators to perform administrative tasks on multiple home automation gateways, such as automation rules setup, grouping of devices or system status control.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123145129","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":"DASH Transport Emulator System Supporting Multi-Broadcast Standards","authors":"Byungjun Bae, Nayeon Kim","doi":"10.1109/ICCE-Berlin47944.2019.8966235","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966235","url":null,"abstract":"This paper proposes the effective protocol structure supporting multi-standards for delivering 4K UHD contents, which consists of ATSC 3.0 and DVB-T2 technologies. We also develop a DASH transport emulator system based on the proposed protocol structure and verify its availability through a testbed including a receiver platform. The experiment shows that the proposed protocol stack and the developed emulator are well suited for providing 4K UHD content in a variety of broadcast standards.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130324952","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":"IoT Based People Detection for Emergency Scenarios","authors":"Khawla Mallat, S. K. Datta, J. Dugelay","doi":"10.1109/ICCE-Berlin47944.2019.8966230","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966230","url":null,"abstract":"First generation Internet of Things (IoT) based systems have focused on Cloud based remote asset monitoring, device management etc. The next-generation IoT systems are utilized to accomplish massive IoT and mission critical business cases. This work presents a real time people detection framework for emergency scenarios and its integration into EURECOM IoT Platform. Due to real time requirements, the Edge Server of the Platform has been extended to perform people detection and streaming the processed video to an IoT Client.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130427034","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}
Vesna Isic, M. Milošević, Nives Kaprocki, N. Teslic
{"title":"Parallelization Of Object-oriented Machine Vision Algorithms For Embedded GPUs","authors":"Vesna Isic, M. Milošević, Nives Kaprocki, N. Teslic","doi":"10.1109/ICCE-Berlin47944.2019.8966138","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin47944.2019.8966138","url":null,"abstract":"Decision logic based on machine vision is among the prevalent building blocks of today's smart devices, vehicles and things. A vast community in both industry and academia works to design and improve machine vision algorithms. Design phases often disregard end device architecture and specifics, relying on pseudo-code, scripting or object oriented approaches. Object-oriented code increases the complexity of porting and optimization for end multi-processor systems. Parallelization becomes required to reach real-time performance, with GPUs being among the most frequently utilized accelerators. In this paper, we propose methods and steps to efficiently parallelize machine vision code designed in object-oriented paradigm. We address challenges such as call stack usage optimization, code compacting, object dereferencing and partitioning for efficient execution on GPU kernels. Finally, we evaluate the proposed method by porting and optimizing an automotive camera-based vehicle detection algorithm.","PeriodicalId":290753,"journal":{"name":"2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133115111","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}