scholarly journals Fast Self-Adaptive Digital Camouflage Design Method Based on Deep Learning

2020 ◽  
Vol 10 (15) ◽  
pp. 5284 ◽  
Author(s):  
Houdi Xiao ◽  
Zhipeng Qu ◽  
Mingyun Lv ◽  
Yi Jiang ◽  
Chuanzhi Wang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Design Method ◽  
Pattern Generation ◽  
Generation Process ◽  
The Future ◽  
Short Time ◽  
New Generation ◽  
The Military ◽  
Self Adaptive

Traditional digital camouflage is mainly designed for a single background and state. Its camouflage performance is appealing in the specified time and place, but with the change of place, season, and time, its camouflage performance is greatly weakened. Therefore, camouflage technology, which can change with the environment in real-time, is the inevitable development direction of the military camouflage field in the future. In this paper, a fast-self-adaptive digital camouflage design method based on deep learning is proposed for the new generation of adaptive optical camouflage. Firstly, we trained a YOLOv3 model that could identify four typical military targets with mean average precision (mAP) of 91.55%. Secondly, a pre-trained deepfillv1 model was used to design the preliminary camouflage texture. Finally, the preliminary camouflage texture was standardized by the k-means algorithm. The experimental results show that the camouflage pattern designed by our proposed method is consistent with the background in texture and semantics, and has excellent camouflage performance in optical camouflage. Meanwhile, the whole pattern generation process takes a short time, less than 0.4 s, which meets the camouflage design requirements of the near-real-time camouflage in the future.

Comparison of Traditional 2D and Virtual Patterns Design in 3D

2009 ◽  
Vol 13 (5) ◽  
pp. 542-549
Author(s):  
Agnieszka Cichocka ◽  
◽  
Pascal Bruniaux ◽  
Keyword(s):  
Design Method ◽  
Pattern Generation ◽  
The Body ◽  
Generation Process ◽  
Clothing Design ◽  
Symmetric Pattern ◽  
Present Context ◽  
Left And Right ◽  
The Right ◽  
Garment Design

This paper presents a garment pattern generation process and modelling of virtual garment design method in 3D. This work characterize our global project on virtual clothing design contains of the conception of virtual adaptive mannequin, and also of the creation and modelling of garment in 3D. According to the ideas of mass customization and e-commerce, as well the need of numerical innovations in garment industry we employ our model of virtual garment and methodology enabling to conceive the virtual clothing directly on a mannequin morphotype in 3D. This method gives us possibility to create a perfect garment and taking into account all peculiarities of human body. In 2D method we made two patterns: left and right side separately to obtain best result and to get possibility to compare two cases: when symmetric pattern is used and when we use pattern consisted of two parts specially made for each side of the body. In the present context we use the example of a basic women's shirt: bodice and sleeve. We used the method of making pattern employed in Russia compared with French method. Finally the superposition of virtual and real pattern was done in order to visualise the right results.

A Real-Time Score for Collaborative Just-in-Time Composition

2014 ◽  
Vol 19 (3) ◽  
pp. 260-267 ◽  
Author(s):  
Lonce Wyse ◽  
Jude Yew
Keyword(s):  
Real Time ◽  
Scoring System ◽  
Just In Time ◽  
Musical Experience ◽  
Time Score ◽  
Engagement Strategies ◽  
The Future ◽  
Short Time ◽  
Communications Strategies

This article explores listening and communications strategies that arise with a collaborative scoring system we are developing for use within improvisational contexts. Performers generate notation on a scrolling score a short time before it is played or rendered into sound. Working a short time in the future allows performers to respond to sound as they would in any improvisatory situation, and yet coordinate their activity through notation in a way typically associated with pre-composed music. The ‘Anticipatory Score’ platform supports the exploration of different kinds of relationships between performers, composers and audience members, and different listening and engagement strategies that affect the musical experience for all participants.

scholarly journals Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 210
Author(s):  
Dongsuk Park ◽  
Seungeui Lee ◽  
SeongUk Park ◽  
Nojun Kwak
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Continuous Wave ◽  
Classification Model ◽  
Training Time ◽  
Fmcw Radar ◽  
Low Altitude ◽  
Real Time Identification ◽  
Short Time ◽  
Time Systems

With the upsurge in the use of Unmanned Aerial Vehicles (UAVs) in various fields, detecting and identifying them in real-time are becoming important topics. However, the identification of UAVs is difficult due to their characteristics such as low altitude, slow speed, and small radar cross-section (LSS). With the existing deterministic approach, the algorithm becomes complex and requires a large number of computations, making it unsuitable for real-time systems. Hence, effective alternatives enabling real-time identification of these new threats are needed. Deep learning-based classification models learn features from data by themselves and have shown outstanding performance in computer vision tasks. In this paper, we propose a deep learning-based classification model that learns the micro-Doppler signatures (MDS) of targets represented on radar spectrogram images. To enable this, first, we recorded five LSS targets (three types of UAVs and two different types of human activities) with a frequency modulated continuous wave (FMCW) radar in various scenarios. Then, we converted signals into spectrograms in the form of images by Short time Fourier transform (STFT). After the data refinement and augmentation, we made our own radar spectrogram dataset. Secondly, we analyzed characteristics of the radar spectrogram dataset with the ResNet-18 model and designed the ResNet-SP model with less computation, higher accuracy and stability based on the ResNet-18 model. The results show that the proposed ResNet-SP has a training time of 242 s and an accuracy of 83.39%, which is superior to the ResNet-18 that takes 640 s for training with an accuracy of 79.88%.

scholarly journals Myanmar 2021: Military Coup as Tragic Recurrence of Old Scenario

2021 ◽  
pp. 155-165
Author(s):  
Aida A. Simoniya ◽  
Keyword(s):  
Criminal Case ◽  
Military Coup ◽  
Western Countries ◽  
The Future ◽  
National League ◽  
New Generation ◽  
The Military

The article draws a parallel between the military coup in Myanmar in 2021 and the events of 1988, when a new generation of military came to power to replace the older one. The author believes that the scenario of the events of the late 80s − early and mid- 90s is repeated. The imposition of sanctions by Western countries and international financial organizations will lead the country to even greater economic and political dependence on China. Special attention is being paid to the criminal case being fabricated against the ousted leaders of the country and the National League for Democracy in order to eliminate this party from the electoral field in the future.

ONLINE AND REALTIME DOSIMETRY USING OPTICALLY STIMULATED LUMINESCENCE

2004 ◽  
Vol 14 (02) ◽  
pp. 605-623 ◽  
Author(s):  
L. DUSSEAU ◽  
J. GASIOT
Keyword(s):  
Real Time ◽  
High Sensitivity ◽  
Integrated Sensor ◽  
Cms Experiment ◽  
Satellite Applications ◽  
The University ◽  
Short Time ◽  
New Generation ◽  
Dose Change

A new generation of Optically stimulated materials has been synthesized at the University Montpellier II. The very high sensitivity of these phosphors, the short time constant of the luminescence and the perfectly separated spectra enable many applications in real time and online dosimetry. Dosimetry can be considered as real-time when the dose change between two measurements is considered as low enough. For satellite applications, we have developed an integrated sensor to measure the dose received orbit by orbit. In radiotherapy, OSL has been used to control the dose deposited during intra-operative in-vivo irradiation. At CERN, we have proposed an online system to monitor the dose simultaneously in about one hundred locations inside the Compact Muon Solenoid (CMS) experiment.

Vade, Sta, Ambula

2001 ◽  
Vol 7 (2) ◽  
pp. 197-237 ◽  
Author(s):  
Diana Gilliland Wright
Keyword(s):  
Real Time ◽  
Fourteenth Century ◽  
Ethnic Origin ◽  
Western Anatolia ◽  
The Future ◽  
Freed Slaves ◽  
Short Time

AbstractThis paper examines manumissions within the harsh and volatile culture of fourteenth-century Crete. Three large collections of notarial documents for the years 1300-1306 allow a real-time view of increased sales, decreased prices, and manumissions in the wake of the Catalan and Ottoman conquests in western Anatolia. It appears that when the price of a slave was equivalent to the wages of a hired man, slaves were freed within a fairly short time after capture. There was a variety of ways in which manumission could be accomplished, and ransoming was a business in itself. Wills from the whole century provide information about relationships, possessions, and economics, and indicate that owners often took responsibility in assuring the future stability of emancipated slaves. Cretan society was fluid enough that freed slaves of every ethnic origin were easily assimilated.

Smart teaching mode based on particle swarm image recognition and human-computer interaction deep learning

2020 ◽  
Vol 39 (4) ◽  
pp. 5699-5711
Author(s):  
Shirong Long ◽  
Xuekong Zhao
Keyword(s):  
Feature Extraction ◽  
Particle Swarm Optimization ◽  
Deep Learning ◽  
Real Time ◽  
Image Recognition ◽  
Particle Swarm ◽  
Learning Technology ◽  
Search Performance ◽  
Swarm Optimization ◽  
Teaching Mode

The smart teaching mode overcomes the shortcomings of traditional teaching online and offline, but there are certain deficiencies in the real-time feature extraction of teachers and students. In view of this, this study uses the particle swarm image recognition and deep learning technology to process the intelligent classroom video teaching image and extracts the classroom task features in real time and sends them to the teacher. In order to overcome the shortcomings of the premature convergence of the standard particle swarm optimization algorithm, an improved strategy for multiple particle swarm optimization algorithms is proposed. In order to improve the premature problem in the search performance algorithm of PSO algorithm, this paper combines the algorithm with the useful attributes of other algorithms to improve the particle diversity in the algorithm, enhance the global search ability of the particle, and achieve effective feature extraction. The research indicates that the method proposed in this paper has certain practical effects and can provide theoretical reference for subsequent related research.

Penerapan Rinfo Sebagai Media Pendukung Untuk Proses Pembelajaran Pada Perguruan Tinggi Raharja

CCIT Journal ◽  
2014 ◽  
Vol 8 (1) ◽  
pp. 101-115
Author(s):  
Untung Rahardja ◽  
Khanna Tiara ◽  
Ray Indra Taufik Wijaya
Keyword(s):  
Learning Process ◽  
Human Life ◽  
Learning Tools ◽  
Integrated Learning ◽  
Civilizing Process ◽  
The World ◽  
The Future ◽  
Two Factors ◽  
Life Education ◽  
New Generation

Education is an important factor in human life. According to Ki Hajar Dewantara, education is a civilizing process that a business gives high values ??to the new generation in a society that is not only maintenance but also with a view to promote and develop the culture of the nobility toward human life. Education is a human investment that can be used now and in the future. One other important factor in supporting human life in addition to education, which is technology. In this globalization era, technology has touched every joint of human life. The combination of these two factors will be a new innovation in the world of education. The innovation has been implemented by Raharja College, namely the use of the method iLearning (Integrated Learning) in the learning process. Where such learning has been online based. ILearning method consists of TPI (Ten Pillars of IT iLearning). Rinfo is one of the ten pillars, where it became an official email used by the whole community’s in Raharja College to communicate with each other. Rinfo is Gmail, which is adapted from the Google platform with typical raharja.info as its domain. This Rinfo is a medium of communication, as well as a tool to support the learning process in Raharja College. Because in addition to integrated with TPi, this Rinfo was connected also support with other learning tools, such as Docs, Drive, Sites, and other supporting tools.

CONSCIOUS MARKETING: SEEDS FOR A NEW MARKETING CONCEPT TO DEAL WITH THE POTENTIAL CONFLICTS BETWEEN CONSUMERISM AND SUSTAINABILITY

2020 ◽  
Vol 11 (2) ◽  
pp. 3-17
Author(s):  
Afonso Carlos Braga ◽  
Erika Camila Buzo Martins
Keyword(s):  
Business Strategies ◽  
Business Decisions ◽  
Marketing Department ◽  
Case Study Methodology ◽  
Academic Level ◽  
The Future ◽  
Sustainable Marketing ◽  
Limited Power ◽  
Study Methodology ◽  
New Generation

This paper deals with a perceived conflicting paradox between consumerism and sustainability among top marketing executives of three purposely selected corporations, where each company represent a current organizational paradigm: the functional, the human radical and the interpretative. A case study methodology, based on in depth interviews, combined with a comprehensive bibliographic research, enabled to address how the planet limitations to provide resources can influence business strategies.  Functional paradigm companies, for example, pursue infinite growth while we live in a finite planet. The question is if the Marketing Department of those companies in the different organizational paradigms have a role in providing inputs in the strategic long term planning. Furthermore, if the marketing discipline in the academic environment influence decision makers that participate on the companies’ business planning to shape the future in a perceived environment in 2017 where consumerism is posed in the against road of the planet sustainability. The study revealed that, the Marketing Department has limited power or voice to influence business decisions. On the other hand, ‘greener’ initiatives like Social Marketing, Green Marketing and Sustainable Marketing has potential to either evolve to or incorporate a new discipline concept, so called in this paper as ‘Conscious Marketing’. This opportunity should be kicked off at the academic level in Universities and Business Schools that may reinforce the relevance of the theme and help to build in the students, a new generation of professionals, the knowledge that we live in a finite planet with limited resources and that the humanity need to revisit its consumption standards to ensure living conditions to the future generations. 

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