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Optimizing Convolutional Neural Network by Hybridized Elephant Herding Optimization Algorithm for Magnetic Resonance Image Classification of Glioma Brain Tumor Grade 基于杂交象群优化算法的卷积神经网络在脑胶质瘤磁共振图像分级中的应用
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499297
Timea Bezdan, Stefan Milošević, Venkatachalam K, M. Zivkovic, N. Bačanin, I. Strumberger
{"title":"Optimizing Convolutional Neural Network by Hybridized Elephant Herding Optimization Algorithm for Magnetic Resonance Image Classification of Glioma Brain Tumor Grade","authors":"Timea Bezdan, Stefan Milošević, Venkatachalam K, M. Zivkovic, N. Bačanin, I. Strumberger","doi":"10.1109/ZINC52049.2021.9499297","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499297","url":null,"abstract":"Gliomas belong to the group of the most frequent types of brain tumors. For this specific type of brain tumors, in its beginning stages, it is extremely complex to get the exact diagnosis. Even with the works from the most experienced doctors, it will not be possible without magnetic resonance imaging, which aids to make the diagnosis of brain tumors. In order to create classification of the images, to where the class of glioma belongs to, for achieving superior performance, convolutional neural networks can be used. For achieving high-level accuracy on the image classification, the convolutional network hyperparameters’ calibrations must reach a very accurate response of high accuracy results and this task proves to take up a lot of computational time and energy. Proceeding with the proposed solution, in this scientific research paper a metaheuristic method has been proposed to automatically search and target the near-optimal values of convolutional neural network hyperparameters based on hybridized version of elephant herding optimization swarm intelligence metaheuristics. The hybridized elephant herding optimization has been incorporated for convolutional neural network hyperparameters’ tuning to develop a system for automatic and instantaneous image classification of glioma brain tumors grades from the magnetic resonance imaging. Comparative analysis was performed with other methods tested on the same problem instance an results proved superiority of approach proposed in this paper.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"75 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":"131434516","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: 17
Camera deflection detection and image correction for applications in ADAS algorithms 相机偏转检测和图像校正在ADAS算法中的应用
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499284
Željko Sabo, R. Grbić, V. Marinkovic, Miodrag Đukić
{"title":"Camera deflection detection and image correction for applications in ADAS algorithms","authors":"Željko Sabo, R. Grbić, V. Marinkovic, Miodrag Đukić","doi":"10.1109/ZINC52049.2021.9499284","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499284","url":null,"abstract":"Cameras that are mounted on almost every modern vehicle can be deflected due to the different reasons such as mechanical or environmental. This deviation of the camera from reference position can affect performance of the camera based Advanced Driving Assistant Systems (ADAS) such as lane detection. In this paper one possible approach for camera deflection detection and image correction is given. The proposed approach is based on estimation of homography matrix that is used for image transformation after which nearest-neighbor interpolation is performed. The presented algorithm for image correction is implemented in TDA2xx System-On-Chip on ADAS Alpha development board. The approach is evaluated for different deflections of the automotive camera from the reference position.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"1 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":"131075867","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
A Market Research Approach to Developing Smartphone Apps; the case of "Active Mobility" 智能手机应用开发的市场调研方法“主动流动”个案
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499307
George Papageorgiou, Antonia Christodoulaki, A. Efstathiades
{"title":"A Market Research Approach to Developing Smartphone Apps; the case of \"Active Mobility\"","authors":"George Papageorgiou, Antonia Christodoulaki, A. Efstathiades","doi":"10.1109/ZINC52049.2021.9499307","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499307","url":null,"abstract":"Health and lifestyle smartphone applications are proliferating nowadays to become the primary technological tool in support of well-being. However, most of these applications are developed on an ad hoc basis without considering real market needs. This paper proposes a market research approach to develop a smartphone application for promoting \"Active Mobility\". Such sustainable mobility, includes cycling and walking, which have a positive significant impact on the fitness and health of an individual, but also contribute to a sustainable urban environment. For this purpose, a market research survey was conducted to identify the key features and functions that the smartphone app should include prior to its development. The findings from the market research survey can then be used for the successful design and launching the new smartphone app. The proposed market research smartphone application development approach has proven to be highly important for the initial stages of software development, such as requirements elicitation and validation.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"64 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":"129038585","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
Beyond Industry 4.0: Leveraging AI-powered Anomalous Sound Detection for Smart Maintenance 超越工业4.0:利用人工智能异常声音检测进行智能维护
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499309
B. Mrazovac, Virgil Ilian, M. Hulea
{"title":"Beyond Industry 4.0: Leveraging AI-powered Anomalous Sound Detection for Smart Maintenance","authors":"B. Mrazovac, Virgil Ilian, M. Hulea","doi":"10.1109/ZINC52049.2021.9499309","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499309","url":null,"abstract":"The ongoing global changes, pushing the digital transformation to Industry 4.0, have been reflected in the launch of new services and process innovations tackling the existing pressure on costs and prices. In this context, AI is becoming an integral part of all future smart maintenance endeavors. The new generation of intelligent maintenance systems, driven by big data analysis and advanced diagnostics, are already guiding automated predictive innovation towards the idea of zero-failure activity. Automated detection of failures is crucial for smart maintenance, for building AI-based factory automation. In this context, the paper describes a solution for detecting failures based on sound obtained from the target machines. Abnormal sound data is difficult to collect, as it rarely occurs and is being hard to extract from a noisy environment and could have various patterns. The proposed solution detects anomalous sound after training the machine-learning model only with the normal operating sound of machines in a factory environment.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"63 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":"129883980","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
One Solution for Deterministic Scheduling on GPU for Automotive Algorithms 一种基于GPU的汽车算法确定性调度解决方案
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499270
Dusan Kenjic, M. Milosevic, Marija Antic, N. Teslic
{"title":"One Solution for Deterministic Scheduling on GPU for Automotive Algorithms","authors":"Dusan Kenjic, M. Milosevic, Marija Antic, N. Teslic","doi":"10.1109/ZINC52049.2021.9499270","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499270","url":null,"abstract":"In order for higher levels of autonomous driving to be achieved, the demanding environmental perception and decision-making algorithms are developed. Meeting real-time system requirements is a mandatory task for all of these algorithms to be properly utilized. In order to meet these requirements, GPUs are widely used, and one of the biggest challenges is providing the deterministic scheduling of different tasks on GPU based on their priority classes. The complete determinism which ensures the absolute control of processes on GPU has still not been achieved. In this paper, we propose and evaluate one method that allows scheduling of tasks with different types of time constraints.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"52 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":"133082241","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
Proximal Policy Based Deep Reinforcement Learning Approach for Swarm Robots 基于近端策略的群体机器人深度强化学习方法
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499288
Ziya Tan, Mehmet Karaköse
{"title":"Proximal Policy Based Deep Reinforcement Learning Approach for Swarm Robots","authors":"Ziya Tan, Mehmet Karaköse","doi":"10.1109/ZINC52049.2021.9499288","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499288","url":null,"abstract":"Artificial intelligence technology is becoming more active in all areas of our lives day by day. This technology affects our daily life by more developing in areas such as industry 4.0, security and education. Deep reinforcement learning is one of the most developed algorithms in the field of artificial intelligence. In this study, it is aimed that three different robots in a limited area learn to move without hitting each other, fixed obstacles and the boundaries of the field. These robots have been trained using the deep reinforcement learning approach and Proximal policy optimization (PPO) policy. Instead of uses value-based methods with the discrete action space, PPO that can easily manipulate the continuous action field and successfully determine the action of the robots has been proposed. PPO policy achieves successful results in multi-agent problems, especially with the use of the Actor-Critic network. In addition, information is given about environment control and learning approaches for swarm behavior. We propose parameter sharing and behavior-based method for this study. Finally, trained model is recorded and tested in 9 different environments where the obstacles are located differently. With our method, robots can perform their tasks in closed environments in the real world without damaging anyone or anything.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"25 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":"133386184","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: 1
Establishing a secure connection between an IoT module for Smart Agriculture via the Amazon Cloud 通过亚马逊云在智能农业的物联网模块之间建立安全连接
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499280
Gokool Divesh, S. Armoogum, Geerish Suddul, Ravi Foogooa
{"title":"Establishing a secure connection between an IoT module for Smart Agriculture via the Amazon Cloud","authors":"Gokool Divesh, S. Armoogum, Geerish Suddul, Ravi Foogooa","doi":"10.1109/ZINC52049.2021.9499280","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499280","url":null,"abstract":"The Internet of Things (IoT) has made its place very quickly in different sectors including agriculture due to its versatility. Years back, farmers used to base themselves on their own experience to detect any issues or diseases in their farm and as such take corrective actions. Farmers having many tasks besides monitoring each and every crop can greatly benefit from IoT. Nevertheless, a shift from traditional farming to smart farming requires the use of devices such as sensors, global positioning system, internet and so on, in order to collect, process, monitor and store data. Such IoT devices being connected to the Internet is susceptible to be hacked by attackers. Thus, securing the access to the IoT module used in greenhouses is important. The data transferred between the greenhouse and the cloud server should also be secured. It is proposed to use the Amazon IoT platform for connecting to the IoT module and securing the access to the IoT module by means of an authentication mechanism.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"32 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":"133748746","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: 2
Designing a Distributed Multi-agent System for Compiler Optimization 面向编译器优化的分布式多智能体系统设计
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499287
Alparslan Sari, C. Sahin, I. Butun
{"title":"Designing a Distributed Multi-agent System for Compiler Optimization","authors":"Alparslan Sari, C. Sahin, I. Butun","doi":"10.1109/ZINC52049.2021.9499287","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499287","url":null,"abstract":"This paper explores the run time performance improvements using different GCC optimization flags in program compilation. As multi-core microprocessor systems replacing legacy single-core ones, tremendous effort is needed to address to optimize the associated compilers for newly designed architectures in order to suit them for running parallel programming on multiple cores. Therefore, the aim of this paper is to address this challenge by designing an optimum distributed multi-agent system to perform compiler optimization. A multi-agent framework is adopted to utilize random and genetic algorithm-based search algorithm to find the best GCC optimization flags for a given program. The framework is highly scalable and can be extended with distributed system concept to perform code compilation in parallel to find the best-optimized code sequence in a short amount of time. The initial performance results have promising indicators which clearly show that the performance improvement is achieved.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"482 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":"116518674","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
Design and development of simulator software for formation flight of drones 无人机编队飞行仿真软件的设计与开发
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499283
KS Gokulraj, J. Manikandan
{"title":"Design and development of simulator software for formation flight of drones","authors":"KS Gokulraj, J. Manikandan","doi":"10.1109/ZINC52049.2021.9499283","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499283","url":null,"abstract":"The technological advancements in flight technology has spearheaded research in design and development of drones. Drones have also gained popularity among consumers and is being employed for various consumer applications such as photography, videography, formation flights, delivery of items, surveillance etc. In this paper, design and development of a graphical user interface (GUI) based simulator to configure a swarm of drones for pattern formation in the sky is proposed. The proposed GUI allows users to draw a pattern of their choice on a grid based drawing window and the swarm of drones will form the pattern drawn. The proposed software simulator for formation flights is designed using ROS framework and Gazebo simulator. The proposed work can be easily employed for various military and non-military applications including consumer applications.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"61 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":"114665252","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
AUTOCHECK: A Tool For Checking Compliance With Automotive Coding Standards AUTOCHECK:一个工具，检查符合汽车编码标准
2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499304
Milena Vujošević Janičić, Ognjen Plavšić, Mirko Brkušanin, P. Jovanovic
{"title":"AUTOCHECK: A Tool For Checking Compliance With Automotive Coding Standards","authors":"Milena Vujošević Janičić, Ognjen Plavšić, Mirko Brkušanin, P. Jovanovic","doi":"10.1109/ZINC52049.2021.9499304","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499304","url":null,"abstract":"Coding standards are especially important in the automotive industry because automotive software bugs can have fatal consequences. An important standard in this context is Autosar, which proposes guidelines for coding in C++14 language. Strictly following this coding standard improves security, safety and the overall quality of software, and should be supported by tools that can automate compliance checks. In this paper we present a tool AutoCheck that can check compliance to 190 rules defined by Autosar standard for C++14 language. AutoCheck is implemented as an extension of the Clang compiler and can be easily adopted as it can be invoked through simple options that are added to Clang. AutoCheck also offers additional options for controlling the generated output in a user-friendly way. We discuss development decisions that include experimental evaluation of different interfaces for static analysis offered by Clang. We present experimental evaluation which shows that AutoCheck performs highly efficient and precise analysis.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"114 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":"128356136","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
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