Human Interaction Activities Research Articles

Analisis Keamanan Jaringan Pada Jaringan Wireless Dari Serangan Man In The Middle Attack DNS Spoofing

Currently the use of wireless technology (wireless) is widely used in institutions, companies, schools and so on. Wireless is very useful because it can facilitate human interaction activities in sending data and so on. However, the existence of wireless is not completely safe in carrying out human interaction activities in sending data and so on, one of which is the illegal man in the middle attack DNS spoofing activity. With these illegal activities, a security system is needed which is expected to prevent illegal man in the middle attack DNS spoofing activities. The results of the attack are obtained based on 7 tests by calculating the quality of service (QOS), namely packet loss with the results of attack 1 model 1 with packet loss 0.154%, attack 2 model 1 with packet loss 0.234%, attack 3 model 1 with packet loss 0.291%, attack 1 model 2 with packet loss 0.173%, attack 2 model 2 with packet loss 0.128%, attack 3 model 2 with packet loss 0.028%, attack 4 model 2 with packet loss 0.231%, which means this attack can run well. And the results by utilizing a firewall security system can only prevent it by cutting off communication interactions between the attacker and the victim and the victim and the attacker.

SENYAPAN DAN KILIR LIDAH DALAM ACARA GELAR WICARA MATA NAJWA 2020 SEBAGAI KAJIAN PSIKOLINGUISTIK

Speaking is one of the four language skills. Speaking skills are always needed in human interaction activities, especially communicating. However, humans in speaking experience often experience mistakes in practice, one of which is the Silent and Tongue Shrink at the Mata Najwa 2020 talk show. On that basis the researcher wants to explore, look for the causes and processes of the occurrence of Silence and Tongue Flashes from several sources in the event. Tongue smiles and flashes are one of the obstacles that occur in communicating activities, both official and non-official. This type of research is descriptive qualitative with research carried out to determine the problem without comparing or linking the existing problems with the interversion picture of research on a phenomenon. In this study, researchers used a data collection technique with a listening method consisting of listening proficiently, listening freely fold proficiently, taking notes, and recording. By using Graunded Theory analysis with the Axial Coding method Paradigm model. Based on the analysis obtained from the results of the research that the Silence and the Flickering of the Tongue in the 2020 Mata Najwa talk show, there are lots of silences performed with various factors that influence it.

High Performance Reversible Data Hiding for Mobile Applications and Human Interaction

Reversible data hiding with predictive error-based difference expansion to conceal personal and sensitive information in mobile applications and human interaction activities through hand-held devices recently has drawn lots of interest. It can not only completely restore the original image after extraction, but also keep the protected privacy information imperceptible against the eavesdroppers. A reversible data hiding method based on prediction-error and pixel-value difference was proposed in this paper. The suitable situations for reversible algorithms and embedded value are selected depended on the differences between image regions and the characteristics of embedded data. Experimental results show that our proposed scheme provides a 57956 bits (0.24 ppb) hiding capacity and a 53.81dB PSNR on F16 image without generating noticeable visual artifacts. The proposed method is additionally applied with different predictors.

Recognizing human–human interaction activities using visual and textual information

We exploit textual information for recognizing human–human interaction activities in YouTube videos. YouTube videos are generally accompanied by various types of textual information, such as title, description, and tags. In particular, since some of the tags describe the visual content of the video, making good use of tags can aid activity recognition in the video. The proposed method uses two-fold information for activity recognition: (i) visual information: correlations among activities, human poses, configurations of human body parts, and image features extracted from visual content and (ii) textual information: correlations with activities extracted from tags. For tag analysis we discover a set of relevant tags and extract the meaningful words. Correlations between words and activities are learned from expanded tags obtained from tags of related videos. We develop a model that jointly captures two-fold information for activity recognition. We consider the model as a structured learning task with latent variables, and estimate the parameters of the model by using a non-convex minimization procedure. The proposed approach is evaluated using a dataset that consists of highly challenging real world videos and their assigned tags collected from YouTube. Experimental results demonstrate that by exploiting the visual and textual information in a structured framework, the proposed method can significantly improve the activity recognition results.

Scaling laws of human interaction activity

Even though people in our contemporary technological society are depending on communication, our understanding of the underlying laws of human communicational behavior continues to be poorly understood. Here we investigate the communication patterns in 2 social Internet communities in search of statistical laws in human interaction activity. This research reveals that human communication networks dynamically follow scaling laws that may also explain the observed trends in economic growth. Specifically, we identify a generalized version of Gibrat's law of social activity expressed as a scaling law between the fluctuations in the number of messages sent by members and their level of activity. Gibrat's law has been essential in understanding economic growth patterns, yet without an underlying general principle for its origin. We attribute this scaling law to long-term correlation patterns in human activity, which surprisingly span from days to the entire period of the available data of more than 1 year. Further, we provide a mathematical framework that relates the generalized version of Gibrat's law to the long-term correlated dynamics, which suggests that the same underlying mechanism could be the source of Gibrat's law in economics, ranging from large firms, research and development expenditures, gross domestic product of countries, to city population growth. These findings are also of importance for designing communication networks and for the understanding of the dynamics of social systems in which communication plays a role, such as economic markets and political systems.

Top soil environmental radioactivity in Akwa Ibom State of Nigeria

A survey of top soil environmental radioactivity in Akwa Ibom State of Nigeria has bean investigated. The results vary considerably from one environment to another ranging between a minimum of 161 mBq·g−1 and a maximum value of 648 mBq·g−1 αβγ-activity. The work reveals that hospitals and health centres lead in top soil radioactivity with the highest mean values of αβγ (378 mBq·g−1) and α (294 mBq·g−1) followed closely by industrial areas with mean values of αβγ (372 mBq·g−1) and α (283 mBq· g−1) trailing beaches and recreation centres having average values of αβγ (364 mBq·g−1) and α (273 mBq·g−1). Lower levels of top soil radioactivity were observed mostly in environments with high level human interaction activity such as schools, offices, environments and recreation centres. An overall top soil mean of 342 mBq·g−1 αβγ-activity, 271 mBq·g−1 α-activity and 71 mBq·g−1 βγ-activity were observed in the State.