Wavelet Denoising in a Highly Secure Covert Communication

2020 ◽  
Vol 10 ◽  
Author(s):  
Pooja Sharma ◽  
SK Pahuja ◽  
Karan Veer
Keyword(s):  
Social Media ◽  
Secure Communication ◽  
Image Features ◽  
Variable Length ◽  
Qr Code ◽  
Media Communication ◽  
Main Challenge ◽  
Proposed Model ◽  
Audio Video ◽  
Code Image

Background: Since now a time, the main challenge is the security of publically available audio, video & text data i.e. social media communication; hence the author presents an exceedingly secure communication system to hide the data from an attentive adversary. Objective: The aim is to design and analyze a novel algorithm to be implemented for message transmission using multiimage LSB steganography and crucial variable-length cryptography. Encoder, decoder and social media as a channel are main parts of the study. Methods: This model uses different computer techniques like cryptography and steganography with video handling. The evolution interest of this work is to implement the raw video as the cover on the QR code image. This image is to be transmitted as information by enshrouding it in the raw footage. Additionally, encryption of QR code image using VLMKG (Variable length Mixed key Generation) cryptography improve the author's endeavors. The variable-length key is generated separately to implement the cryptography. In the proposed modal, multi-image LSB steganography is imposed which gives one-bit replacement in the spatial domain. Wavelet Transform (Daubechies family) has been applied for denoising purpose in a way to enhance the accuracy of receiving message. Results: The author found that using the proposed model on an agreement of five QR Code images with three raw video grouping, any information in the form of QR code image can be transmitted successfully. Conclusion: The creator efforts with LSB steganography, variable length key cryptography and MATLAB usage had superbly extracted the image features, calculations and the consequences were observed to be palatable.

scholarly journals Sentiment Analysis of Social Media via Multimodal Feature Fusion

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2010
Author(s):  
Kang Zhang ◽  
Yushui Geng ◽  
Jing Zhao ◽  
Jianxin Liu ◽  
Wenxiao Li
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Feature Fusion ◽  
Image Features ◽  
Research Field ◽  
Sentiment Classification ◽  
Analysis Model ◽  
Noise Interference ◽  
Proposed Model ◽  
Multimodal Sentiment Analysis

In recent years, with the popularity of social media, users are increasingly keen to express their feelings and opinions in the form of pictures and text, which makes multimodal data with text and pictures the con tent type with the most growth. Most of the information posted by users on social media has obvious sentimental aspects, and multimodal sentiment analysis has become an important research field. Previous studies on multimodal sentiment analysis have primarily focused on extracting text and image features separately and then combining them for sentiment classification. These studies often ignore the interaction between text and images. Therefore, this paper proposes a new multimodal sentiment analysis model. The model first eliminates noise interference in textual data and extracts more important image features. Then, in the feature-fusion part based on the attention mechanism, the text and images learn the internal features from each other through symmetry. Then the fusion features are applied to sentiment classification tasks. The experimental results on two common multimodal sentiment datasets demonstrate the effectiveness of the proposed model.

STRATEGI KOMUNIKASI CROWDFUNDING PADA KOLASE.COM

2019 ◽  
Vol 2 (2) ◽  
pp. 177-187
Author(s):  
Venessa Agusta Gogali ◽  
Fajar Muharam ◽  
Syarif Fitri
Keyword(s):  
Social Media ◽  
Communication Strategies ◽  
Communication Strategy ◽  
New Method ◽  
Media Communication ◽  
Social Activists ◽  
Social Media Communication

Crowdfunding is a new method in fundraising activities based online. Moreover, the level of penetration of social media to the community is increasingly high. This makes social activists and academics realize that it is important to study social media communication strategies in crowdfunding activities. There is encouragement to provide an overview of crowdfunding activities. So the author conducted a research on "Crowdfunding Communication Strategy Through Kolase.com Through Case Study on the #BikinNyata Program Through the Kolase.com Website that successfully achieved the target. Keywords: Strategic of Communication, Crowdfunding, Social Media.

#INCLUSION – THE IMPACT OF SOCIAL MEDIA COMMUNICATION ON THE LEGITIMACY OF ARMED FORCES

2019 ◽  
pp. 43-60
Author(s):  
EVA MOEHLECKE DE BASEGGIO ◽  
OLIVIA SCHNEIDER ◽  
TIBOR SZVIRCSEV TRESCH
Keyword(s):  
Social Media ◽  
Political Communication ◽  
Structural Equation ◽  
Armed Forces ◽  
Equation Model ◽  
Media Communication ◽  
The Public ◽  
Political Legitimation ◽  
Social Media Communication ◽  
The Impact

The Swiss Armed Forces (SAF), as part of a democratic system, depends on legitimacy. Democracy, legitimacy and the public are closely connected. In the public sphere the SAF need to be visible; it is where they are controlled and legitimated by the citizens, as part of a deliberative discussion in which political decisions are communicatively negotiated. Considering this, the meaning of political communication, including the SAF’s communication, becomes obvious as it forms the most important basis for political legitimation processes. Social media provide a new way for the SAF to communicate and interact directly with the population. The SAF’s social media communication potentially brings it closer to the people and engages them in a dialogue. The SAF can become more transparent and social media communication may increase its reputation and legitimacy. To measure the effects of social media communication, a survey of the Swiss internet population was conducted. Based on this data, a structural equation model was defined, the effects of which substantiate the assumption that the SAF benefits from being on social media in terms of broadening its reach and increasing legitimacy values.

scholarly journals Path Planning for Mobile-Anchor Based Wireless Sensor Networks Localization: Obstacle-Presence Schemes

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3697
Author(s):  
Dogan Yildiz ◽  
Serap Karagol
Keyword(s):  
Path Planning ◽  
Negative Impact ◽  
Wireless Sensor ◽  
Localization Accuracy ◽  
Planning Models ◽  
Main Challenge ◽  
Current Location ◽  
Proposed Model ◽  
Logical Method ◽  
Weighted Centroid Localization

In many Wireless Sensor Network (WSN) applications, the location of the nodes in the network is required. A logical method to find Unknown Nodes (UNNs) in the network is to use one or several mobile anchors (MAs) equipped with GPS units moving between UNNs and periodically broadcast their current location. The main challenge at this stage is to design an optimum path to estimate the locations of UNNs as accurately as possible, reach all nodes in the network, and complete the localization process as quickly as possible. This article proposes a new path planning approach for MA-based localization called Nested Hexagon Curves (NHexCurves). The proposed model’s performance is compared with the performance of five existing static path planning models using Weighted Centroid Localization (WCL) and Accuracy Priority Trilateration (APT) localization techniques in the obstacle-presence scenario. With the obstacle-handling trajectories used for the models, the negative impact of the obstacle on the localization is reduced. The proposed model provides full coverage and high localization accuracy in the obstacle-presence scenario. The simulation results show the advantages of the proposed path planning model with the H-curve model over existing schemes.

scholarly journals Patient Care, Information, Communication and Social Media Influencing Bias—A Discourse

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 28
Author(s):  
Paula M. Procter
Keyword(s):  
Social Media ◽  
Patient Care ◽  
Information Communication ◽  
Media Communication ◽  
Care Information ◽  
Social Media Communication ◽  
Society Today ◽  
Selection Of

Misinformation and disinformation are prevalent across society today, their rise to prominence developed mainly through the expansion of social media. Communication has always been recognised in health and care settings as the most important element between people who are receiving care and those delivering, managing, and evaluating care. This paper, through a discourse approach, will explore communication through the perception of information formed following personal selection of influencers and try to determine how such affects patient care.

Chinese Image Captioning via Fuzzy Attention-based DenseNet-BiLSTM

2021 ◽  
Vol 17 (1s) ◽  
pp. 1-18 ◽  
Author(s):  
Huimin Lu ◽  
Rui Yang ◽  
Zhenrong Deng ◽  
Yonglin Zhang ◽  
Guangwei Gao ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Contextual Information ◽  
Image Features ◽  
Context Information ◽  
Global Information ◽  
Image Description ◽  
Image Captioning ◽  
Image Content ◽  
Single Feature ◽  
Proposed Model

Chinese image description generation tasks usually have some challenges, such as single-feature extraction, lack of global information, and lack of detailed description of the image content. To address these limitations, we propose a fuzzy attention-based DenseNet-BiLSTM Chinese image captioning method in this article. In the proposed method, we first improve the densely connected network to extract features of the image at different scales and to enhance the model’s ability to capture the weak features. At the same time, a bidirectional LSTM is used as the decoder to enhance the use of context information. The introduction of an improved fuzzy attention mechanism effectively improves the problem of correspondence between image features and contextual information. We conduct experiments on the AI Challenger dataset to evaluate the performance of the model. The results show that compared with other models, our proposed model achieves higher scores in objective quantitative evaluation indicators, including BLEU , BLEU , METEOR, ROUGEl, and CIDEr. The generated description sentence can accurately express the image content.

scholarly journals Predicting Implicit User Preferences with Multimodal Feature Fusion for Similar User Recommendation in Social Media

2021 ◽  
Vol 11 (3) ◽  
pp. 1064
Author(s):  
Jenq-Haur Wang ◽  
Yen-Tsang Wu ◽  
Long Wang
Keyword(s):  
Social Media ◽  
Feature Fusion ◽  
Relevant Information ◽  
Image Features ◽  
User Preferences ◽  
User Preference ◽  
Late Fusion ◽  
Multimodal Features ◽  
Fusion Methods ◽  
Text Features

In social networks, users can easily share information and express their opinions. Given the huge amount of data posted by many users, it is difficult to search for relevant information. In addition to individual posts, it would be useful if we can recommend groups of people with similar interests. Past studies on user preference learning focused on single-modal features such as review contents or demographic information of users. However, such information is usually not easy to obtain in most social media without explicit user feedback. In this paper, we propose a multimodal feature fusion approach to implicit user preference prediction which combines text and image features from user posts for recommending similar users in social media. First, we use the convolutional neural network (CNN) and TextCNN models to extract image and text features, respectively. Then, these features are combined using early and late fusion methods as a representation of user preferences. Lastly, a list of users with the most similar preferences are recommended. The experimental results on real-world Instagram data show that the best performance can be achieved when we apply late fusion of individual classification results for images and texts, with the best average top-k accuracy of 0.491. This validates the effectiveness of utilizing deep learning methods for fusing multimodal features to represent social user preferences. Further investigation is needed to verify the performance in different types of social media.

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