Dominik Birtić, M. Vranješ, Ž. Lukač, Gordana S. Velikic
{"title":"Graphic Environment for Generating Automated Tests and Documentation for ADAS","authors":"Dominik Birtić, M. Vranješ, Ž. Lukač, Gordana S. Velikic","doi":"10.1109/ZINC50678.2020.9161442","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161442","url":null,"abstract":"Advanced driver-assistance systems (ADAS) are primarily intended to help drivers in traffic and to increase driving safety. Today a large number of engineers are developing different algorithms for ADAS. This results in large quantity of written program codes on a daily basis, which has to be tested. Note that a manual testing and writing a code for the manual testing is an arduous task. To satisfy the increasing testing needs, and to accelerate the testing process, we developed a graphical environment that allows users to create automated tests quickly and efficiently by a simple drag and drop method. The environment was created using a Node.js server, MongoDB and Blockly. Blockly was used to create blocks and to combine blocks to make scripts, i.e., automated tests for ADAS. Node.js was used to save blocks into the MongoDB database and to load existing blocks into the environment. The environment enables users to use existing blocks to create Python scripts and their own blocks which can be used to create Python scripts, and to edit or remove existing blocks. The environment was tested manually. Testing results showed that all functionalities work properly and that the environment enables users to generate different scripts for automated testing in an order of seconds.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"63 1","pages":"301-306"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79691668","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":"Investigation of The Focusing Effect on The Reconstructed Image Quality in Digital Holographic Microscopy","authors":"Gülhan Ustabas Kaya, T. Onur","doi":"10.1109/ZINC50678.2020.9161444","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161444","url":null,"abstract":"Holography has been used as an imaging method in various fields of science for many years. However, practical applications, challenging procedures and equipment requirements cause restrictions on the use of traditional holography. These requirements and constraints have led to the development of digital holography and digital holographic microscopy. Digital holographic microscopy (DHM) imaging method allows to identify the three dimensional profiles of very small biological samples and transparent objects optically. In digital holographic microscopy, there are substantial advantages in many respects such as obtaining holograms quickly, having complete amplitude and phase information and applying versatile image processing techniques. Although digital holographic microscopy enables the application of many image processing techniques, it is important for the reconstruction process that the recorded image is in the focus of the imaging systems. This paper deals the study of the focusing effects on the reconstructed image obtained from recorded hologram of clear and blurred images with simulation using MATLAB software. The results obtained show that the focusing process in the recording stage is an important factor affecting the construction of holograms and therefore reconstruction performance","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"19 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82931165","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":"Power Control of Grid-Connected Inverters Using One-Cycle Control Method for PV Systems","authors":"Amir Masuod Kianmanesh, A. Akhavan","doi":"10.1109/ZINC50678.2020.9161434","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161434","url":null,"abstract":"In this paper, one-cycle control (OCC) method as an appropriate control scheme is applied and developed to control grid-connected inverters with the LCL filter for VAR compensation and injecting power to the grid. Also, particle swarm optimization (PSO) algorithm is employed to find the optimal LCL filter parameters by minimizing the total harmonic distortion (THD) of AC-side current as a cost function. LCL filters are generally applied in renewable power generation systems to smooth the injected current into the network because of their better attenuation capability and smaller elements than other filters. Although an LCL filter attenuates harmonics created by switches more effectively, due to its inherent resonance, it may cause stability issues. To create stable performance, either an active damping algorithm or a physical damping resistor should be used. However, a physical resistor causes additional power loss and slower dynamic response, while by adding a digital filter as a conventional virtual resistor and modifying the control scheme, the above-mentioned problems could be solved.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"3 1","pages":"253-258"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79130287","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}
Andrija Mihalj, R. Grbić, N. Lukic, Zvonimir Kaprocki
{"title":"Code Generator for ADAS Software Testing","authors":"Andrija Mihalj, R. Grbić, N. Lukic, Zvonimir Kaprocki","doi":"10.1109/ZINC50678.2020.9161801","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161801","url":null,"abstract":"Modern cars use advanced electronic systems that help the driver with the driving process - so-called Advanced Driver-Assistance Systems (ADAS). ADAS systems are used to automate, customize and improve systems within a vehicle for greater safety and better driving experience. Since ADAS systems as such can have a significant impact on the driving process, the vehicle and the driver, they must be thoroughly tested and developed within many industry standards. The key factor in their work is communication between individual system components. This standardized communication is necessary to test, which is usually performed by developing AUTomotive Open System Architecture (AUTOSAR) communication tests. Since ADAS testing can be quite a complex and time-consuming process, automated testing is performed in an appropriate testing environment. In this paper, existing ADAS environment testing systems is presented, which generates a test environment for the simulation of communication in the middle layer (Middleware) of AUTOSAR architecture. Test Environment Generator (TEG) is a Python program for processing ARXML test files based on which it generates a test environment model in the form of separate components in the C programming language. The program consists of input data parsing, parsed data storing and components generation that build the test environment. Based on the detected disadvantages of the existing TEG, several modifications are proposed in order to accelerate its execution time and to introduce more robust and stable data storage methods in database form.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"47 1","pages":"184-189"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91183142","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}
Geerish Suddul, K. Dookhitram, Girish Bekaroo, Nikhilesh Shankhur
{"title":"An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction","authors":"Geerish Suddul, K. Dookhitram, Girish Bekaroo, Nikhilesh Shankhur","doi":"10.1109/ZINC50678.2020.9161824","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161824","url":null,"abstract":"Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real time prediction of river flooding by proposing and evaluating different variations of the conventional Multilayer Perceptron (MLP) machine learning algorithm. Our first approach follows a trial and error attempt to optimize the MLP architecture. The second and third approaches are based on the application of nature inspired evolutionary techniques, namely the Genetic Algorithm (MLP-GA) and the Bat Algorithm (MLP-BA) respectively. The MLP-GA generates an improved MLP configuration and MLP-BA enhances the training method. Our fourth, novel approach (MLP-BA-GA) is based on the application of GA to further optimize both the BA and MLP architecture. When compared with previous work, experiments show improvement in the accuracy of river flood prediction, with significant results for the MLP-BA-GA.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"42 1","pages":"109-112"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91183280","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, Lazar Vukasović, Marija Antic, I. Papp
{"title":"3G-Enabled Field Gateway for Collecting Industrial BLE Sensor Data","authors":"Sandra Ivanovic, Lazar Vukasović, Marija Antic, I. Papp","doi":"10.1109/ZINC50678.2020.9161822","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161822","url":null,"abstract":"Sensory data from industrial and agricultural facilities represents a valuable source of information about the system state and operation. In order to collect and store this data, some of the already existing local networking IoT technologies can be used. However, industrial IoT solutions are often deployed in areas with limited Internet connectivity, and delivering this data to the cloud represents a challenge. In this paper, we propose the design of a field gateway device, deployed in the industrial IoT solution with BLE (Bluetooth Low Energy) sensors. The gateway stores BLE sensory data locally and periodically delivers it to the cloud using 3G cellular network connection.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"74 1","pages":"73-76"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87526150","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}
L. Mâță, Ioana Boghian, Alexandra-Georgiana Poenaru, Cosmin Tomozei
{"title":"Implications of the unethical use of social networking in higher education","authors":"L. Mâță, Ioana Boghian, Alexandra-Georgiana Poenaru, Cosmin Tomozei","doi":"10.1109/ZINC50678.2020.9161810","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161810","url":null,"abstract":"The aim of our study consists in the analysis of the implications of the unethical use of social networking in academic environment. In the first part of the paper the key concept of unethical use of social networking is defined, which is a new term, following the extension of the significance of the unethical use of information technology. In the second part, there are analyzed the advantages and main issues of the unethical use of social networking. Also, there are highlighted the main implications from the psycho-social, pedagogical, and information technology perspective. In the last part of the paper, there are identified relevant solutions regarding the ethical use of social networking in higher education.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"41 4","pages":"321-326"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91399448","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":"Particle Swarm Optimization – Model Predictive Control for Microgrid Energy Management","authors":"Van Quyen Ngo, K. Al-haddad, K. Nguyen","doi":"10.1109/ZINC50678.2020.9161790","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161790","url":null,"abstract":"Microgrid is becoming the most attractive solution for integrating distributed renewable sources into the utility grid. Such a system combines renewable generations with conventional distributed generations, storage systems, and loads in one entity operating in both isolated and grid-connected modes. However, it also associates with a high level of uncertainty and volatility following climatic conditions. Therefore, energy management strategies in operating MGs plays a crucial role in term of economic and reliability. This paper investigates a method applying constrained multi-swarm particle swarm optimization without velocity-based model predictive control to optimize the operation cost in small scale PV-MGs. The results are compared with the linear programming algorithm. The results show the effective modified particle swarm optimization embedded in the model predictive control algorithm performed well. The simulations are run over 24 hours ahead based on the forecast data of PV generation, load demands, and energy price.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"29 41","pages":"264-269"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91418201","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}
Hasan Ali Gamal Al-kaf, K. Chia, Faiz Ridwan Bin Abdul mubin
{"title":"The Size And Weight Prediction For Intact Pineapples Using A Low Cost Vision System","authors":"Hasan Ali Gamal Al-kaf, K. Chia, Faiz Ridwan Bin Abdul mubin","doi":"10.1109/ZINC50678.2020.9161770","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161770","url":null,"abstract":"The ever-changing technology has shaped people’s way of life especially in the modern era of the business and agriculture sectors. Nowa days the price of pineapple depends on the size of the pineapple and also the type of pineapple that are related to the quality of pineapples. Different consumers have different desired size and weight of their purchased pineapples for their purposes. Consequently, traders and farmers need to sort the size of the pineapples to better understand the relationship among supplies and demands so that the values of pineapples can be maximized. Thus, this study proposes a system can automatically determine the size (i.e. length, diameter, and circumference) and the weight of pineapples to avoid laborious intensive and inconsistent manual sorting process that may deteriorate the consumers’ interest due to wrong sorted fruits. Different positions and sizes of pineapples were investigated and studied. The performance of the proposed system was compared with manual measurement method. Results indicate that the proposed system is promising to be further developed to automate the size and weight sorting process that can improve the interest of consumers.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"8 1","pages":"146-150"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84593914","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}