2020 10th International Conference on Advanced Computer Information Technologies (ACIT)最新文献_第4页

Automated Object Recognition System based on Convolutional Autoencoder 基于卷积自编码器的自动目标识别系统

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208945

P. Prystavka, O. Cholyshkina, S. Dolgikh, Denys Karpenko

引用次数: 8

SECTION 8: Image Processing 第8节:图像处理

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/acit49673.2020.9208964

引用次数: 0

Development of Elements of ERP-system of Association of Co-owners of Multi-apartment 多房共有人协会erp系统要素的开发

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208962

D. Brechko, N. Maksyshko, S. Ivanov

{"title":"Development of Elements of ERP-system of Association of Co-owners of Multi-apartment","authors":"D. Brechko, N. Maksyshko, S. Ivanov","doi":"10.1109/ACIT49673.2020.9208962","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208962","url":null,"abstract":"The article analyses the procedure for implementing ERP-systems in economic facilities, in particular in the association of co-owners of a multi-apartment building. The study identified three main types of activities of the association of co-owners of a multi-apartment building, which should be investigated for the organization of the development and implementation of ERP-system. The following business process schemes for the activity of the association of owners of an apartment building were built: managing information about the house and personal accounts, managing personal accounts and managing housing and communal services. Based on the analysis of the stages of the developed business processes, elements of the ERP system for uniting the owners of an apartment building are identified: reference books “Houses and Structures”, “Individuals”, “Contractors”, “Personal accounts” and documents “Management of benefits”, “Management of subsidies”, “Change of personal account”, “Initial balances on settlements with consumers of services”, “One-time charge of services”, “Charging on personal accounts”, “Closing of the month”.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467425","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

Advisory Framework to Interconnect Distributed Water Bodies Targeting Agriculture Farms 以农场为目标的分布式水体互联咨询框架

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208805

J. Sunil, K. ManasaSai, R. V. Prasad, H. Venkataraman

{"title":"Advisory Framework to Interconnect Distributed Water Bodies Targeting Agriculture Farms","authors":"J. Sunil, K. ManasaSai, R. V. Prasad, H. Venkataraman","doi":"10.1109/ACIT49673.2020.9208805","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208805","url":null,"abstract":"There has been several instances of uneven distribution of water resources in villages, towns and cities of developing countries of South-east Asia, such as India, Indonesia, etc. Interconnection of distributed water bodies such that excess water from one water source to other deficit source of a stressed agriculture farm is always a challenge. Planning and implementation of efficient laying in already connected pipeline laid mechanisms are costly and time consuming. In this regard, this paper proposes a novel advisory framework named as Zobhana Jala Sambaddha (ZJS) to address the above problems and provide an automated solution as compared to manual pipe laying mechanisms. The proposed advisory Framework ZJS arrives at a solution space that connects multiple source and destination points. This multipath solution between any source and destination points are derived considering different parameters of interest such as: low-cost, less distance, low pumping power, geographical constraints etc. An image processing based data abstraction with multi constrained optimization framework provides an advisory solution. It is observed from different test case runs carried out in Sri City, that the proposed framework is more generic and automated; eliminates the need for time consuming surveys for pipe-laying; and in fact, reduces pipe-laying infrastructure by upto 36%.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924723","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

SECTION 7: Cyber Security and IT Law 第7节:网络安全和信息技术法

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/acit49673.2020.9209007

引用次数: 0

Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian Networks 基于统计贝叶斯网络的投资项目有效性分析

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208982

M. Voronenko, O. Naumov, L. Naumova, Elzara Topalova, V. Filippova, V. Lytvynenko

引用次数: 2

Structure Prediction in Uncertain Temporal Networks 不确定时间网络的结构预测

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9209002

L. Beránek, R. Remes

引用次数: 0

Algorithmic Support for Rabin Cryptosystem Implementation Based on Addition 基于加法的Rabin密码系统实现算法支持

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208923

S. Ivasiev, M. Kasyanchuk, I. Yakymenko, Oksana Gomotiuk, Inna Shylinska, Lesia Bilovus

引用次数: 6

Challenges for Knowledge Management in Digital Business Models 数字商业模式下知识管理的挑战

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208867

Artur Rot, Małgorzata Sobińska

引用次数: 2

Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning 基于深度学习的无约束道路交通场景感知建模

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208871

Jaswanth Nidamanuri, A. Karri, H. Venkataraman

{"title":"Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning","authors":"Jaswanth Nidamanuri, A. Karri, H. Venkataraman","doi":"10.1109/ACIT49673.2020.9208871","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208871","url":null,"abstract":"In recent times, advanced driver assistance system (ADAS) and autonomous driving have received significant interest in the automotive community. In this regard, lane assistance system and vehicle detection are considered as core modules of ADAS. However, the drawback is that the conventional image processing and vision-based techniques are quite slow and computationally expensive. The proposed work circumvents this limitation with the practical use of deep learning (CNN) based detection architecture. This paper proposes the use of CNN inspired detection methods such as Faster RCNN and YOLO for visual perception of road traffic. Notably, they were applied for effective vehicle detection in non-disciplined, heterogeneous Indian road traffic. This involved collecting own dataset for Indian urban heterogeneous traffic in both day and night time. An application of YOLO with VGG network resulted in a mAP score of 78.57%. On the other hand, Faster RCNN with Inception v2 and ResNet networks resulted in mAP score of 88% and 89.44%, on Indian road traffic datasets. This is a significant result; that shows the use of Deep Learning techniques for an efficient visual modelling of unconstrained road traffic scenarios.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127032417","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