Proceedings of the 22nd International Conference on Computer Systems and Technologies最新文献_第2页

Acoustic Event Detection and Sound Separation for security systems and IoT devices 用于安全系统和物联网设备的声学事件检测和声音分离

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472441

A. Iliev, Mayank Dewli, Muhsin Kalkan, Preeti Prakash Kudva, Rekha Turkar

{"title":"Acoustic Event Detection and Sound Separation for security systems and IoT devices","authors":"A. Iliev, Mayank Dewli, Muhsin Kalkan, Preeti Prakash Kudva, Rekha Turkar","doi":"10.1145/3472410.3472441","DOIUrl":"https://doi.org/10.1145/3472410.3472441","url":null,"abstract":"When we think of audio data, we think of music and speech. However, the set of various kinds of audio data, contains a vast multitude of different sounds. Human brain can identify sounds such as two vehicles crashing against each other, someone crying or a bomb explosion. When we hear such sounds, we can identify the source of the sound and the event that caused them. We can build artificial systems which can detect acoustic events just like humans. Acoustic event detection (AED) is a technology which is used to detect acoustic events. Not only can we detect the acoustic event but also, determine the time duration and the exact time of occurrence of any event. This paper aims to make use of convolutional neural networks in classifying environmental sounds which are linked to certain acoustic events. Classification and detection of acoustic events has numerous real-world applications such as anomaly detection in industrial instruments and machinery, smart home systems, security applications, tagging audio data and in creating systems to aid the hearing-impaired individuals. While environmental sounds can encompass a large variety of sounds, we will focus specifically on certain urban sounds in our study and make use of convolutional neural networks (CNNs) which have traditionally been used to classify image data, for our analysis on audio data. The model, when given a sample audio file must be able to assign a classification label and a corresponding accuracy score.","PeriodicalId":115575,"journal":{"name":"Proceedings of the 22nd International Conference on Computer Systems and Technologies","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132676037","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

Planning and Developing Courses in Distance Learning Environments: a training course for HiEdTec Project 规划和开发远程学习环境中的课程:HiEdTec项目的培训课程

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472440

Joana Neto, Sílvia Nolan, A. J. Mendes

引用次数: 1

Creating Smart Home Environment Based on Open Source Home Automation Software 基于开源家庭自动化软件构建智能家居环境

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472444

Victor Danev, L. Kirilov, R. Nikolov

引用次数: 1

Solving Classical Problem in New Context as Constructive Model of Training: Active Memory Array of Concurrent Processes Concept 作为训练的建设性模型在新情境下解决经典问题:并发进程主动记忆阵列的概念

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472430

Milen Loukantchevsky

{"title":"Solving Classical Problem in New Context as Constructive Model of Training: Active Memory Array of Concurrent Processes Concept","authors":"Milen Loukantchevsky","doi":"10.1145/3472410.3472430","DOIUrl":"https://doi.org/10.1145/3472410.3472430","url":null,"abstract":"∗One of the perspective modern training methodologies is based on play as cultural phenomenon. This approach currently is deeply investigated and increasingly widely applied. Roughly said, the gaming approach boils down to “make the hard stuff fun”. In contrast, when we talk about education of experienced students closely related to computer science and computer engineering, developer’s point of view could be regarded as more productive. Developer’s point of view (DPV) learning approach could be briefly described as “the very solution to the problem is a game”. Such constructive model of training has its roots in the constructivist philosophy. Constructivism postulates that learning arises from building mental models based on experience. Constructivism implies to engage the students in problem solving of challenging scientific questions. Several such questions in computer engineering and computer science are formulated, according to the US National Research Council. As a sample of the DPV learning approach is selected one of them the Passive RAM Problem. Its solution has four main stages: (Stage 1) a refined definition of the stated problem; (Stage 2) conceptual idea for solving the problem; (Stage 3) transforming the conceptual idea into concrete algorithm; (Stage 4) coding under appropriate framework. The first three are described, and the obtained from Stage 4 code is published into the author’s GitHub repository.","PeriodicalId":115575,"journal":{"name":"Proceedings of the 22nd International Conference on Computer Systems and Technologies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127788509","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

Concept of a model for distance practical training in a real clinical environment and time for nurse and midwife specialties 在真实的临床环境和时间为护士和助产士专业远程实践培训模式的概念

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472414

Ivan Ralev, Despina Georgieva, G. Koleva, Irinka Hristova, T. Hristova

引用次数: 1

Multi-input Asynchronous Arbiter with Parallel Connection of Input Signals. Arbitration in Conditions of Superscalarity 具有并联输入信号的多输入异步仲裁器。超尺度条件下的仲裁

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472419

Dimitar Tyanev, Y. Petkova

引用次数: 1

A Mixed Reality Approach to Visualizing Cultural Heritage Artefacts: Mixed Reality Approach to Cultural Heritage 文化遗产文物视觉化的混合现实方法:文化遗产的混合现实方法

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472432

Boyana Ivanova, T. Vassilev

引用次数: 2

The effect of time drift in source code authorship attribution: Time drifting in source code - stylochronometry 时间漂移对源代码作者归属的影响:源代码中的时间漂移-风格计时学

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472445

Juraj Petrík, D. Chudá

引用次数: 0

Increasing quality in fingerprint images by Implementing wavelet transform based fusion technique 采用基于小波变换的融合技术提高指纹图像的质量

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472447

I. Enesi, B. Çiço, Miranda Harizaj

引用次数: 1

Rule-Based System Against Reinforcement Learning* 基于规则的系统对抗强化学习*

Proceedings of the 22nd International Conference on Computer Systems and Technologies Pub Date : 2021-06-18 DOI: 10.1145/3472410.3472437

Bozhan I. Orozov, D. Orozova

引用次数: 0