2023 Zooming Innovation in Consumer Technologies Conference (ZINC)最新文献

{"title":"Augmented Reality (AR) a New Technology for Advertising and Marketing Digital Communications","authors":"George Papageorgiou, Shuying You","doi":"10.1109/ZINC58345.2023.10174141","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174141","url":null,"abstract":"New digital technologies are greatly affecting people’s lives and are dramatically changing marketing operations. Consequently, advertising, promotion and more generally marketing communications going through a major digital metamorphosis. Further, the rise of Virtual Reality (VR), Augmented Reality (AR), digital marketing and advertising breaks the boundary between the physical world and the digital world. By means of these technologies, advertising may achieve a new level of promotion, branding and consumer involvement. Therefore, it deems essential to investigate the relationship between AR advertising and consumer behavior as well as their overall experience with AR. It would be imperative to explore the relationship between this new digital technology and consumers, so as to predict future trends in the development of advertising. This paper set the basis for such an inquiry by proposing a framework for evaluating a new technology such as AR on its applicability to advertising and digital marketing communications.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134540792","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":"Prediction of the First Just Noticeable Difference Point based on Simple Image Features","authors":"B. Pavlović, Boban P. Bondzulic, Nenad Stojanović, V. Petrovic, Dimitrije Bujaković","doi":"10.1109/ZINC58345.2023.10173865","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10173865","url":null,"abstract":"The aim of this paper is to predict the positions of the first just noticeable difference (JND) points as optimal levels of compression for images and videos based on simple features derived from the original visual signals. Three image datasets and one video dataset with subjectively defined JNDs were used in the analysis. We show that the position of the first JND point can be successfully predicted on the basis of simple image features. The highest degree of agreement with subjectively assigned JNDs was reached by features based on the gradient magnitude, where on two datasets with JPEG images their correlation is greater than 95%. On the dataset with VVC images, which has a larger number of images and a wider range of image content, the degree of agreement between gradient-based predictions and the results of subjective tests is 84%, while the correlation on the dataset with video sequences is 80%.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116866238","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":"Analysis of protocols used for visualization in automotive industry","authors":"Uros Stojanovic, Stefan Stefanović, G. Ferenc, Aleksandar Rikalo","doi":"10.1109/ZINC58345.2023.10174226","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174226","url":null,"abstract":"One of the biggest obstacles that autonomous driving is facing is the ability to safely and accurately detect and interpret the environment around the vehicle. In other words, detection algorithms need to work perfectly, and for that, the one who made them needs to make sure they work perfectly. One way of debugging autonomous driving algorithms is to use visualization tools that allow you to visually analyze the behavior of the system in real-time. In this paper, Foxglove Studio was chosen as a visualization tool. This work centers around an application that loads video data, takes a frame from it, sends it to a detection algorithm that returns detections, then converts the frame and detections to suitable serialization format and sends it to Foxglove Studio via WebSocket connection, so it can visually display that data to the user. The goal of this work is to determine what is the most suitable mechanism for serializing data in Foxglove Studio so it can be integrated as a part of a bigger platform to help developers. In order to do that, the implementation of 2 different serialization mechanisms was done, and they were compared to each other. Through our testing, we observed that compressing the frame helped to resolve certain issues. As such, we also conducted a performance comparison with and without frame compression. After the analysis was done, it was determined that picking the most suitable format will depend on the specific use case, and that both formats have potential to be used for different reasons. The novelty of this work is that it compares serialization formats in relatively new visualization platform, Foxglove Studio (alpha version was released in June 2021). Even though it is new, it is considered as one of the best tools in robotics and automotive communities because of its powerful visualization and analysis capabilities.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117139941","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":"Security enhancement of LSB-based audio steganography method","authors":"Jovana Jezdimirovic, Nenad Pekez, J. Kovacevic","doi":"10.1109/ZINC58345.2023.10174020","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174020","url":null,"abstract":"The rapid development of digital technology has brought about the challenge of ensuring information security. Cryptography and steganography are among the various techniques available to address this challenge. These techniques come in different forms and provide reliable means of securing information and communication. Despite the existence of numerous options, new variations are still emerging. This paper concentrates on Least Significant Bit (LSB) coding, which is one of the most widely recognized and frequently utilized steganography techniques. The advantages of LSB-based coding methods are high capacity and low complexity. However, predictability is an issue. Audio files’ sizes and data redundancy make audio data perfect for steganography, as it is possible to embed large amounts of secret information and easily transmit the signal via various communication channels. However, the use of LSB coding in audio steganography has a drawback due to the extreme sensitivity of the human auditory system (HAS). This means that any noise added to the audio with data embedded in the LSBs can be detected by the HAS, which is dependent on the number of LSBs used. This work presents an improvement of the LSB-based approach, the XORing of LSBs method, with an emphasis on enhanced security. The method achieves this by randomly picking the pairs of bits to be XOR’d while preserving the characteristics of classic LSB methods. To verify the method, it has been implemented on the Cirrus Logic DSP, proving that it may be efficiently used in a real-time audio environment without interfering with HAS sensitivity levels.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114542375","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":"A proposal of Android services generator for inter-connection with ADAS","authors":"Ognjen Boskovic, Aleksandar Kokinovic, Dusan Kenjic, I. Kastelan","doi":"10.1109/ZINC58345.2023.10174195","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174195","url":null,"abstract":"The integration of software in the automotive industry has become increasingly complex and time-sensitive, necessitating the implementation of efficient tools. One such tool is the utilization of a generator. Over the past decade, the implementation of In-Vehicle-Infotainment systems has become ubiquitous, occupying a central position within vehicles. Another system present in vehicles is the Advanced Driver Assistance System. Despite their prevalence, these systems operate in isolation. However, the utilization of Android services and a service-client architecture can facilitate communication between disparate systems through the implementation of various service-client-based protocols. This study proposes the development of a generator for Android services that enable communication between Advanced Driver Assistance System systems through the use of CommonAPI proxy. The implementation of this generator will expedite the production process of code that integrates these independent systems.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121721841","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":"MQTT based monitoring and control system for remote stations in automotive industry","authors":"Denis Ivanović, Josip Job, Marko Puntarić, M. Herceg","doi":"10.1109/ZINC58345.2023.10174189","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174189","url":null,"abstract":"In this paper is presented implementation of a lightweight supervisory control and data acquisition system for remote test stations as a part of a larger test house in the automotive industry. It is necessary to allow remote set up and monitoring of the test stations, which means defining the structure of a system with numerous test stations as endpoints. The test stations are meant to be virtual machines but can be both virtual and physical machines. A communication protocol must be used that enables this within the organization’s network, regardless of actual distance and location. The parameters of the test stations to be monitored can be defined according to the needs and purpose. Even when creating your own tool, this function is not unique, i.e. on one test station parameters of operating system resources such as memory usage can be monitored, while on another test station logged-in users or running programs, reported system errors and others must be monitored. Data storage is one of the mandatory functions of this system. This process allows viewing data throughout history and more detailed analysis of events. There are numerous benefits that can be drawn and used from the data stored in the database. It is necessary to pay attention to the data stored as well as the scope and retention throughout history. The correct and secure setup of a database is one of the prerequisites for any serious system that processes data. Appropriate views should be created for users involved in the data monitoring process using all the elements mentioned so far. Creating a visually acceptable and easy-to-use interface that serves the main purpose is the final presentation of the entire system to users. A complete system leads to higher productivity, profitability and better organization of the company. It also allows project managers to better plan the use and occupancy of test stations. At any time, they have insight into the status of individual test stations, their activities and the processes taking place. The system must be designed to be easily expandable and flexible, depending on the number of test cells that need to be changed. Adding new test stations to the network and the communication channel should be quick and easy.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128890310","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":"Tool for automatic labeling of objects in images obtained from Carla autonomous driving simulator","authors":"Zvonimir Benčević, R. Grbić, Borna Jelic, M. Vranješ","doi":"10.1109/ZINC58345.2023.10174056","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174056","url":null,"abstract":"To successfully train modern object detectors in a supervised manner, a large number of labeled images is usually required. Collecting and annotating images can be an expensive and time-consuming job, especially in the field of autonomous driving. A cheaper and faster alternative can be found in computer simulations of real-world traffic scenes, where the object of interest can be automatically labeled. In this spirit, a tool for automatic labeling of the images obtained from CARLA autonomous driving simulator is proposed. The tool runs in parallel with CARLA simulator and creates a synthetic dataset with annotations in the appropriate format for the following objects of interest: traffic lights, traffic signs, vehicles, and pedestrians. The tool enables the end-user to generate a synthetic dataset with a desired number of images and with desired parameters such as weather condition, image resolution, and traffic density. In that way, large synthetic datasets can be generated in a short period of time.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130881597","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":"Demonstrating Secure Data Portability for Healthcare Domain","authors":"S. K. Datta","doi":"10.1109/ZINC58345.2023.10174116","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174116","url":null,"abstract":"This paper proposes an architecture for secure, privacy aware data portability for healthcare domain. The components of the architecture are described along with an operational flow. Prototyping experience and results validation with a real smartwatch are summarised.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134245232","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":"Validation of Machine Learning-Based Lane Lines Detection Methods Using Different Datasets","authors":"Grgur Jukić, M. Vranješ, Denis Vajak, D. Vranješ","doi":"10.1109/ZINC58345.2023.10174065","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174065","url":null,"abstract":"Advanced Driver Assistance System (ADAS) uses various sensors that exist in the vehicle to collect information about the vehicle and its surroundings. One of the most commonly used ADASs is the one designed to recognize driving lane lines. In this paper, analysis, and validation of freely available state-of-the-art deep learning-based lane lines detection (LLD) methods are done using three different well-known datasets: CULane, TuSimple, and LLAMAS. To perform the validation, as part of this research, two converters of lane line label formats were made. Converters allow testing models that have been previously trained on a dataset that uses different lane line label formats so that their performances can be verified on other datasets with different lane line format types. The experimental results show that the adaptability of the model to the change of the dataset depends on the architecture used as the basis of the model for the LLD, and the similarity of the training set of the initially used dataset and the new, i.e. test dataset. All tested models showed shortcomings when tested on images from datasets on which they were not trained, which confirms that there is still no model that we can confidently say achieves high performance in all possible scenarios.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133646102","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":"Calibration of chemical and solid-state DC voltage standards in Industry 4.0","authors":"Zdravko Gotovac, M. Urekar, Marina Bulat, Jelena Milojevic, Nemanja Gazivoda","doi":"10.1109/ZINC58345.2023.10174251","DOIUrl":"https://doi.org/10.1109/ZINC58345.2023.10174251","url":null,"abstract":"New concepts of Industry 4.0 are introduced to the calibration process of DC voltage using chemical and solid-state standards.","PeriodicalId":383771,"journal":{"name":"2023 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132415434","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}