2021 Zooming Innovation in Consumer Technologies Conference (ZINC)最新文献

Noise Pollution Measurement System - Implementation and Perspectives 噪音污染测量系统-实施及展望

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499258

Oncho Meshkov, A. Naumoski

{"title":"Noise Pollution Measurement System - Implementation and Perspectives","authors":"Oncho Meshkov, A. Naumoski","doi":"10.1109/ZINC52049.2021.9499258","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499258","url":null,"abstract":"The noise pollution poses a high environmental risk to human health, both direct and indirect, and it can be defined as unwanted or harmful outdoor sound. The purpose of this paper is hardware and software implementation of a noise measurement and monitoring system. The system contains a sound sensor (microphone), computer for processing and sampling the sound, calculating frequency and power of the sound and for communication with a server, server for storing the data computed from the measurement. This system is using Raspberry Pi 3 model B+ as a computer, because it is easy to setup, easy to use and it is low-priced. Heroku, cloud platform, is used as a server for this system, which has a free plan for hosting. All the data calculated from the system, are stored in the server. The current system lacks the ability to be installed anywhere, because of the internet connection and the power supply and only a web application is available. For future work, we plan to solve the power supply problem using batteries and the internet connection problem using SIM cards, as well as introducing a notification/alert system, to send and alert the authorities.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121141191","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

The Safety Dilemmas of Autonomous Driving 自动驾驶的安全困境

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499306

Hans Tschürtz, A. Gerstinger

引用次数: 7

A systematic approach for designing battery management system for embedded applications 一种嵌入式电池管理系统的系统设计方法

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499253

Haris Turkmanović, I. Popović

引用次数: 1

Camera and LiDAR Sensor Fusion for 3D Object Tracking in a Collision Avoidance System 相机和激光雷达传感器融合在避碰系统中的三维目标跟踪

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499281

M. Kotur, N. Lukic, Momcilo Krunic, Ž. Lukač

{"title":"Camera and LiDAR Sensor Fusion for 3D Object Tracking in a Collision Avoidance System","authors":"M. Kotur, N. Lukic, Momcilo Krunic, Ž. Lukač","doi":"10.1109/ZINC52049.2021.9499281","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499281","url":null,"abstract":"Advances in autonomous sensor technology are the driving force behind vehicle manufacturers to reduce traffic accidents and fatalities. This process led to the development of advanced driver assistant systems (ADAS). However, vision-based methods often suffer from limited fields of view and difficulty to extract accurate range information which is critical for vehicle detection. Vehicle detection is one of the most important issues for ADAS. The authors show one among many other possible solutions, to improve detection, and that is to rely on several different sensors such as a camera and LiDAR sensors. This paper describes the implementation of a collision-avoidance system (CSA), and the needed time-to-collision (TTC) estimation, using constant velocity model and C++ programming language. The TTC calculation is based on data obtained by tightly coupled LiDAR and camera sensors. In the solution we integrated several key points detectors and, focused on descriptors extraction and matching. As a final step, we used so called, sensor fusion to integrate LiDAR points into camera images and detect object in camera images using deep learning approach. For evaluation, we run several combinations of detectors and descriptors, analyze differences between time to collision estimations and demonstrate the functionality of the best method into an efficient implementation.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134008375","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: 4

Mining Consumer Services Based on User Preference with Associative and Process Mining 基于用户偏好的关联与过程挖掘消费者服务

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499308

Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi

引用次数: 0

Program memory optimization for automatically generated tests for AUTOSAR RTE AUTOSAR RTE自动生成测试的程序内存优化

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499293

Kristijan Vlašiček, Ivan Vidovic, N. Teslic, Nenad Pekez

{"title":"Program memory optimization for automatically generated tests for AUTOSAR RTE","authors":"Kristijan Vlašiček, Ivan Vidovic, N. Teslic, Nenad Pekez","doi":"10.1109/ZINC52049.2021.9499293","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499293","url":null,"abstract":"With the technological advancements in the automotive industry, the need for more electronic components has increased as well as for the appropriate software, that is, appropriate drivers. The development of such software is usually based on the AUTOSAR standard, while the required electronics use embedded computer systems. Considering that the embedded computer systems have limited resources, the software needs to be optimized. In this paper, the program memory of the considered software was optimized. The optimization was done using the following methods: introduction of generic functions, extraction of repetitive functions in the header files and dead code elimination. The optimization methods were applied by changing a code fragment written in C programming language. In that way, the program memory optimization method could be applied to all software components (SWCs) using Test Environment Generator (TEG). Afterward, the program code testing was done on a testing board. The results of the testing on board prove the functionality of the optimized program code. The applied methods optimized the memory usage (6.16% reduction) and preserved the functionality of the program code to an appropriate extent.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134288095","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

Dedicated software agents in smart home system - Smarts 智能家居系统专用软件代理- Smarts

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499290

V. Spasojević, I. Papp

引用次数: 1

Modeling and Implementation of an Adaptive Vehicle Light Management System 自适应车灯管理系统的建模与实现

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499252

Ante Radoš, Zdravko Krpic, Vladan Marinković, N. Lukic

{"title":"Modeling and Implementation of an Adaptive Vehicle Light Management System","authors":"Ante Radoš, Zdravko Krpic, Vladan Marinković, N. Lukic","doi":"10.1109/ZINC52049.2021.9499252","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499252","url":null,"abstract":"Modern standards in the automotive industry place increasingly demanding terms on the safety of road users. One of the most important segments of road safety is surely the visibility of the road and its surroundings. Poor visibility conditions endanger the safety of all traffic participants and the manufacturers are solving this problem by implementing increasingly advanced lightning systems in vehicles. The main feature of such advanced systems is their interaction with the surroundings of the vehicle and its dynamic adaptation to the driving conditions. This paper presents the process of developing a vehicular adaptive front light control system via several key phases. The key phases are software component (SWC) modelling, communication configuration, program code implementation, simulation and testing of the final product. The system is created according to the Automotive Open System Architecture (AUTOSAR) specification using appropriate methods and tools. Selected functionalities of the developed system represent some of the most commonly used adaptive light management systems today.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125932224","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

Finding empty volumes inside 3D models of storage furniture 在存储家具的3D模型中寻找空的体积

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499292

Mateja Hržica, Petra Đurović, Matej Džijan, R. Cupec

引用次数: 1

Detecting Obstacles Within the Driving Lane and Vehicle Speed Adjustment 车道内障碍物检测与车速调节

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499311

Srdan Ljepic, R. Grbić, J. Kovacevic, Momcilo Krunic

引用次数: 0