scholarly journals Network architecture of the calibration benchof thermal imaging and spectral devicesfor monitoring high-temperature synthesis of materials

2021 ◽  
Vol 17 (4) ◽  
pp. 35-44
Author(s):  
Alexey V. Dolmatov
Keyword(s):  
Thermal Imaging ◽  
Network Architecture ◽  
Smart Device ◽  
Network Service ◽  
Server Side ◽  
Computing Platform ◽  
Multicast Protocol ◽  
Reverse Conversion ◽  
Current State ◽  
High Temperature Synthesis

The work is devoted to changing the structure of the software of the temperature calibration stand for organizing interaction with networked intelligent devices for spectral and thermal imaging control. On the basis of.Net technology and the C # programming language, a network service of the PSH-2035 source was created, which controls the current of the TRU-1100-2350 model temperature lamp. The service translates network messages with temperature values ​​in ASCII commands of the source with the corresponding lampcurrent level and sends them for execution via the RS-232 interface. The reverse conversion allows the network client to obtain information about the current state of the lamp. The transfer of messages between the network service and the client is carried out using a unique protocol based on TCPtransport. The server side of the software uses the MySQL DBMS as an operator for a structured storage of batch jobs and a temperature lampoperation log, synchronizes its own computing platform with the world time system via the NTPprotocol and provides a GUID to a calibrated smart device for consistent identification of records in specialized databases. The stand software supports the multicast protocol for the simultaneous calibration of several devices.

The Current State and Changes in Smart Device Usage and Utilization Level in Preschool Children

2016 ◽  
Vol 24 (3) ◽  
pp. 157-163 ◽  
Author(s):  
노주형 ◽  
Jin-Hwa Moon ◽  
김용주 ◽  
설인준 ◽  
이진 ◽  
...  
Keyword(s):  
Preschool Children ◽  
Smart Device ◽  
Current State

Digitalization in the system of anti-corruption measures

2020 ◽  
Vol 22 (5) ◽  
pp. 51-55
Author(s):  
OLEG N. KORCHAGIN ◽  
◽  
ANASTASIA V. LYADSKAYA ◽  
Keyword(s):  
Big Data ◽  
Law Enforcement ◽  
Public Administration ◽  
Network Architecture ◽  
Digital Technologies ◽  
Current State ◽  
Foreign Countries ◽  
Separate Area ◽  
Private Business Sector ◽  
The Given

The article is devoted to the current state of digitalization aimed at solving urgent problems of combating corruption in the field of public administration and private business sector. The work considers the experience of foreign countries and the influence of digital technologies on the fight against corruption. It is noted that the digitalization of public administration is becoming one of the decisive factors for increasing the efficiency of the anti-corruption system and improving management mechanisms. Big Data, if integrated and structured according to the given parameters, allows the implementation of legislative, law enforcement, control and supervisory and law enforcement activities reliably and transparently. Big Data tools allow us to analyze processes, identify dependencies and predict corruption risks. The author describes the most significant problems that complicate the transfer of offline technologies into the online environment. The paper analyzes promising directions for the development of digital technologies that would lead to solving the arising problems, as well as to implement tasks that previously seemed unreachable. The article also describes current developments in the field of collecting and managing large amounts of data, the “Internet of Things”, modern network architecture, and other advances in the field of IT; the work provides applied examples of their potential use in the field of combating corruption. The study gives reasons that, in the context of combating corruption, digitalization should be allocated in a separate area of activity that is controlled and regulated by the state.

scholarly journals Lightweight Stacked Hourglass Network for Human Pose Estimation

2020 ◽  
Vol 10 (18) ◽  
pp. 6497
Author(s):  
Seung-Taek Kim ◽  
Hyo Jong Lee
Keyword(s):  
Receptive Field ◽  
Pose Estimation ◽  
Network Architecture ◽  
Human Pose Estimation ◽  
Current State ◽  
Reduction Methods ◽  
Substantial Progress ◽  
Human Pose ◽  
Residual Block ◽  
Point Detection

Human pose estimation is a problem that continues to be one of the greatest challenges in the field of computer vision. While the stacked structure of an hourglass network has enabled substantial progress in human pose estimation and key-point detection areas, it is largely used as a backbone network. However, it also requires a relatively large number of parameters and high computational capacity due to the characteristics of its stacked structure. Accordingly, the present work proposes a more lightweight version of the hourglass network, which also improves the human pose estimation performance. The new hourglass network architecture utilizes several additional skip connections, which improve performance with minimal modifications while still maintaining the number of parameters in the network. Additionally, the size of the convolutional receptive field has a decisive effect in learning to detect features of the full human body. Therefore, we propose a multidilated light residual block, which expands the convolutional receptive field while also reducing the computational load. The proposed residual block is also invariant in scale when using multiple dilations. The well-known MPII and LSP human pose datasets were used to evaluate the performance using the proposed method. A variety of experiments were conducted that confirm that our method is more efficient compared to current state-of-the-art hourglass weight-reduction methods.

scholarly journals SD-UNet: Stripping down U-Net for Segmentation of Biomedical Images on Platforms with Low Computational Budgets

Diagnostics ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 110 ◽  
Author(s):  
Pius Kwao Gadosey ◽  
Yujian Li ◽  
Enock Adjei Agyekum ◽  
Ting Zhang ◽  
Zhaoying Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Architecture ◽  
Tumor Segmentation ◽  
Biomedical Data ◽  
Electron Microscopic ◽  
Brain Tumor Segmentation ◽  
Current State ◽  
Expected Performance ◽  
Computational Resources ◽  
Medical Segmentation

During image segmentation tasks in computer vision, achieving high accuracy performance while requiring fewer computations and faster inference is a big challenge. This is especially important in medical imaging tasks but one metric is usually compromised for the other. To address this problem, this paper presents an extremely fast, small and computationally effective deep neural network called Stripped-Down UNet (SD-UNet), designed for the segmentation of biomedical data on devices with limited computational resources. By making use of depthwise separable convolutions in the entire network, we design a lightweight deep convolutional neural network architecture inspired by the widely adapted U-Net model. In order to recover the expected performance degradation in the process, we introduce a weight standardization algorithm with the group normalization method. We demonstrate that SD-UNet has three major advantages including: (i) smaller model size (23x smaller than U-Net); (ii) 8x fewer parameters; and (iii) faster inference time with a computational complexity lower than 8M floating point operations (FLOPs). Experiments on the benchmark dataset of the Internatioanl Symposium on Biomedical Imaging (ISBI) challenge for segmentation of neuronal structures in electron microscopic (EM) stacks and the Medical Segmentation Decathlon (MSD) challenge brain tumor segmentation (BRATs) dataset show that the proposed model achieves comparable and sometimes better results compared to the current state-of-the-art.

Research of Big Data Processing Platform

2014 ◽  
Vol 484-485 ◽  
pp. 922-926
Author(s):  
Xiang Ju Liu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analysis ◽  
Network Architecture ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Big Data Analysis ◽  
Computing Platform ◽  
Operational Characteristics ◽  
Analysis Platform

This paper introduces the operational characteristics of the era of big data and the current era of big data challenges, and exhaustive research and design of big data analytics platform based on cloud computing, including big data analytics platform architecture system, big data analytics platform software architecture , big data analytics platform network architecture big data analysis platform unified program features and so on. The paper also analyzes the cloud computing platform for big data analysis program unified competitive advantage and development of business telecom operators play a certain role in the future.

Enacting Divides

2017 ◽  
Vol 9 (1) ◽  
pp. 13-23
Author(s):  
Ina Dimitrova
Keyword(s):  
Network Architecture ◽  
Assisted Reproductive Technologies ◽  
Reproductive Technologies ◽  
Online Discussions ◽  
Media Representations ◽  
Local Context ◽  
Current State ◽  
Patient Activism

Th? paper aims to explore the current state of a particular instance of patient activism in Bulgaria through tracing the sociotechnical network architecture of the assisted reproductive technologies. It argues that in the local context this is the patient activism, which could be assessed as successful or, in ANT's terms, it has forged heterogeneous alliances, able to sustain themselves, proliferate and enroll new protagonists. Based on interviews with patients and activists, on media representations, and online discussions, this research tries to trace the local heterogeneous arrays of protagonists and show how ARTs network successfully stabilizes and gains power.

scholarly journals A Systematic Literature Review on Military Software Defined Networks

2018 ◽  
Vol 10 (9) ◽  
pp. 88 ◽  
Author(s):  
Vasileios Gkioulos ◽  
Håkon Gunleifsen ◽  
Goitom Weldehawaryat
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Network Architecture ◽  
State Of The Art ◽  
Future Research ◽  
Software Defined Networks ◽  
Application Domain ◽  
Research Areas ◽  
Current State ◽  
Active Research

Software Defined Networking (SDN) is an evolving network architecture paradigm that focuses on the separation of control and data planes. SDN receives increasing attention both from academia and industry, across a multitude of application domains. In this article, we examine the current state of obtained knowledge on military SDN by conducting a systematic literature review (SLR). Through this work, we seek to evaluate the current state of the art in terms of research tracks, publications, methods, trends, and most active research areas. Accordingly, we utilize these findings for consolidating the areas of past and current research on the examined application domain, and propose directions for future research.

scholarly journals Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4542
Author(s):  
Marek Kraft ◽  
Przemysław Aszkowski ◽  
Dominik Pieczyński ◽  
Michał Fularz
Keyword(s):  
Thermal Imaging ◽  
Network Architecture ◽  
Low Cost ◽  
Machine Learning Algorithms ◽  
Infrared Sensors ◽  
Neural Network Architecture ◽  
Binary Information ◽  
Reduce Energy Consumption ◽  
Imaging Sensor ◽  
Established Technique

Using passive infrared sensors is a well-established technique of presence monitoring. While it can significantly reduce energy consumption, more savings can be made when utilising more modern sensor solutions coupled with machine learning algorithms. This paper proposes an improved method of presence monitoring, which can accurately derive the number of people in the area supervised with a low-cost and low-energy thermal imaging sensor. The method utilises U-Net-like convolutional neural network architecture and has a low parameter count, and therefore can be used in embedded scenarios. Instead of providing simple, binary information, it learns to estimate the occupancy density function with the person count and approximate location, allowing the system to become considerably more flexible. The tests show that the method compares favourably to the state of the art solutions, achieving significantly better results.

scholarly journals Device-to-Device Communications in Cloud, MANET and Internet of Things Integrated Architecture

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Network Architecture ◽  
Ad Hoc ◽  
Cloud Services ◽  
Smart Devices ◽  
Smart Device ◽  
Cloud Storage Service ◽  
Gradient Based ◽  
Integrated Architecture ◽  
The Internet Of Things

Background: The wireless networks make it easier for users to connect with each other in the sense of the Internet of Things (IoT) system. The cloud and MANET convergence offer the services for cloud access within MANET of devices connected. Objective: The main objective of this research is to establish a cloud-based ad-hoc network architecture for the communication among smart devices under the 5G based Internet of Things architecture. Methods: The methods are applied to discover the smart devices using probability-based model, hidden Markov model and gradient-based model. Results: A cloud-MANET architecture of the smart device is constructed with cloud and MANET computation. The framework allows MANET users to access and deliver cloud services through their connected devices, where all simulations, error handling, and resource management are implemented. Conclusion: The MANET service has been launched as well as linked to the cloud by the mobile device. The author used the amazon cloud storage service. This research produces a conceptual model that is based on the ubiquitous method. It is shown the success in this area and expectations for future scope.

scholarly journals Establishing a Soldier Wireless Sensor Network (WSN) Communication for Military Operation Monitoring

2018 ◽  
Vol 7 (2) ◽  
pp. 89 ◽  
Author(s):  
Mohd Nazri Ismail ◽  
Mohd ‘Afizi Shukran ◽  
Mohd Rizal Mohd Isa ◽  
Mohd Adib ◽  
Omar Zakaria
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Architecture ◽  
Mobile Network ◽  
Base Station ◽  
Wireless Sensor ◽  
Smart Device ◽  
Information Communication ◽  
Military Operation ◽  
Communication Device

The study investigates and develops components for implementing an effective and efficient military knowledge/information/communication in closed network architecture. Since military personnel are always on the move, the dissemination of knowledge/information/communication needs a mobile platform to accommodate mobility of people. The mobile and wireless network platform should be able to sustain the remoteness and seclusion of military operation areas. Communication is one of key problems of a military operation especially due to environmental constraints. This study proposes on establishing a future soldier communication device with mobile wireless sensor network (WSN) and mobile network to suit the infantry operations in the jungle. The operational areas are considered to restricted and challenging locations. Wireless sensor network (WSN) will become inexpensive and common over the next decade Thus, a thorough study is vital to develop the most suitable smart equipment and network requirements for Malaysia’s military eco-system. Finally, this study has successfully developed new smart device prototype using WSN approach for Military operation. In addition, this prototype can be used for Search and Rescue (SAR) operation. This prototype is able to transmit death and location status, movement location status, health monitoring and status to the base station.

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