Modeling the Effectiveness of TV and Social Media Advertisements on the Dynamics of Water-Borne Diseases

2021 ◽  
pp. 2150069
Author(s):  
Kusum Lata ◽  
A. K. Misra ◽  
Y. Takeuchi
Keyword(s):  
Social Media ◽  
Washout Rate ◽  
Stability Switch ◽  
Environment Model ◽  
The People ◽  
Contaminated Drinking Water ◽  
Precautionary Measures ◽  
The Stability ◽  
Parameter Values ◽  
Human Kind

Cholera is a serious threat to the health of human-kind all over the world and its control is a problem of great concern. In this context, a nonlinear mathematical model to control the prevalence of cholera disease is proposed and analyzed by incorporating TV and social media advertisements as a dynamic variable. It is considered that TV and social media ads propagate the knowledge among the people regarding the severe effects of cholera disease on human health along with its precautionary measures. It is also assumed that the mode of transmission of cholera disease among susceptible individuals is due to consumption of contaminated drinking water containing Vibrio cholerae. Moreover, the propagation of knowledge through TV and social media ads makes the people aware to adopt precautionary measures and also the aware people make some effectual efforts to washout the bacteria from the aquatic environment. Model analysis reveals that increase in the washout rate of bacteria due to aware individuals causes the stability switch. It is found that TV and social media ads have the potential to reduce the number of infectives in the region and thus control the cholera epidemic. Numerical simulation is performed for a particular set of parameter values to support the analytical findings.

Covid-19 – rumours and facts in media

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 171-174
Author(s):  
Tarare Toshida ◽  
Chaple Jagruti
Keyword(s):  
Social Media ◽  
Preventive Measures ◽  
Vital Role ◽  
The Other ◽  
Sources Of Information ◽  
Other Hand ◽  
Corona Virus ◽  
The People ◽  
The World

The covid-19 resulted in broad range of spread throughout the world in which India has also became a prey of it and in this situation the means of media is extensively inϑluencing the mentality of the people. Media always played a role of loop between society and sources of information. In this epidemic also media is playing a vital role in shaping the reaction in ϑirst place for both good and ill by providing important facts regarding symptoms of Corona virus, preventive measures against the virus and also how to deal with any suspect of disease to overcome covid-19. On the other hand, there are endless people who spread endless rumours overs social media and are adversely affecting life of people but we always count on media because they provide us with valuable answers to our questions, facts and everything in need. Media always remains on top of the line when it comes to stop the out spread of rumours which are surely dangerous kind of information for society. So on our side we should react fairly and maturely to handle the situation to keep it in the favour of humanity and help government not only to ϑight this pandemic but also the info emic.

scholarly journals Research on Generation Method of Grasp Strategy Based on DeepLab V3+ for Three-Finger Gripper

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 278
Author(s):  
Sanlong Jiang ◽  
Shaobo Li ◽  
Qiang Bai ◽  
Jing Yang ◽  
Yanming Miao ◽  
...  
Keyword(s):  
Field Of View ◽  
Convolution Kernel ◽  
Parallel Connection ◽  
Multi Scale ◽  
Spatial Pyramid Pooling ◽  
The Stability ◽  
Parameter Values ◽  
Filter Layer ◽  
Complex Dataset ◽  
Better Than

A reasonable grasping strategy is a prerequisite for the successful grasping of a target, and it is also a basic condition for the wide application of robots. Presently, mainstream grippers on the market are divided into two-finger grippers and three-finger grippers. According to human grasping experience, the stability of three-finger grippers is much better than that of two-finger grippers. Therefore, this paper’s focus is on the three-finger grasping strategy generation method based on the DeepLab V3+ algorithm. DeepLab V3+ uses the atrous convolution kernel and the atrous spatial pyramid pooling (ASPP) architecture based on atrous convolution. The atrous convolution kernel can adjust the field-of-view of the filter layer by changing the convolution rate. In addition, ASPP can effectively capture multi-scale information, based on the parallel connection of multiple convolution rates of atrous convolutional layers, so that the model performs better on multi-scale objects. The article innovatively uses the DeepLab V3+ algorithm to generate the grasp strategy of a target and optimizes the atrous convolution parameter values of ASPP. This study used the Cornell Grasp dataset to train and verify the model. At the same time, a smaller and more complex dataset of 60 was produced according to the actual situation. Upon testing, good experimental results were obtained.

scholarly journals Analysis of dengue model with fractal-fractional Caputo–Fabrizio operator

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Fatmawati ◽  
Muhammad Altaf Khan ◽  
Cicik Alfiniyah ◽  
Ebraheem Alzahrani
Keyword(s):  
Statistical Data ◽  
Dengue Infection ◽  
Fractional Operator ◽  
Novel Approach ◽  
Reduction Number ◽  
Best Fitting ◽  
The Stability ◽  
Parameter Values ◽  
Graphical Illustration ◽  
Stability Results

AbstractIn this work, we study the dengue dynamics with fractal-factional Caputo–Fabrizio operator. We employ real statistical data of dengue infection cases of East Java, Indonesia, from 2018 and parameterize the dengue model. The estimated basic reduction number for this dataset is $\mathcal{R}_{0}\approx2.2020$ R 0 ≈ 2.2020 . We briefly show the stability results of the model for the case when the basic reproduction number is $\mathcal{R}_{0} <1$ R 0 < 1 . We apply the fractal-fractional operator in the framework of Caputo–Fabrizio to the model and present its numerical solution by using a novel approach. The parameter values estimated for the model are used to compare with fractal-fractional operator, and we suggest that the fractal-fractional operator provides the best fitting for real cases of dengue infection when varying the values of both operators’ orders. We suggest some more graphical illustration for the model variables with various orders of fractal and fractional.

scholarly journals Persepsi Masyarakat tentang Citra Pemerintah Kota Medan Melalui Akun Media Sosial Instagram @humas_pemkomedan

PERSPEKTIF ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 20
Author(s):  
Muhammad Wahyu Effendi ◽  
Yan Hendra ◽  
Armansyah Matondang
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Public Perception ◽  
Theoretical Description ◽  
City Government ◽  
Structured Interviews ◽  
News Reports ◽  
The People ◽  
New Information ◽  
Qualitative Descriptive

<h1>This research is based on the social media account of Instagram @humas_pemkomedan which contains the image of Medan City Government. The purpose of this study to determine the public perception about the image of Medan City Government through social media accounts Instagram. Theories used in this study include the theoretical description of communication, perception, society, image, social media, Instagram. The research method used is qualitative descriptive method. Selection of informants here is the people of Medan City who follow social media accounts Instagram @humas_pemkomedan and informants in this study following the principle of saturation where if the data needed is still less will be done addition of informants to get new information until the data obtained reach saturation point that if from the source is the same, then the data collection through the interview is stopped. Data collection   techniques  were  conducted   by  semi-structured interviews to all informants, and the results of this study showed that where the perception of the image is described into the first two aspects through Instagram profile and the second is the content of Instagram @humas_pemkomedan consisting of 6 categories of uploads are as follows: The activities of Medan city administration, news reports on work, information and appeal, congratulations, videos, figures, then Public Perceptions About Government Image Medan City Through Social Media Account Instagram is tend to be positive.</h1>

scholarly journals Engaging for Puerto Rico: #RickyRenuncia (and #RickySeQueda) during El Verano del 19 and digital identities

2019 ◽  
Author(s):  
Danilo T Perez-Rivera ◽  
Christopher Torres Lugo ◽  
Alexis R Santos-Lozada
Keyword(s):  
Social Media ◽  
Puerto Rico ◽  
Social Activism ◽  
The United States ◽  
The Political ◽  
Digital Revolution ◽  
The People ◽  
The Social ◽  
The World ◽  
Puerto Rican Diaspora

Between July 13-24, 2019 the people of Puerto Rico took the streets after a series of corruption scandals shocked the political establishment. The social uprising resulted in the ousting of the Governor of Puerto Rico (Dr. Ricardo Rosselló, Ricky), the resignation of the majority of his staff something unprecedented in the history of Puerto Rico; this period has been called El Verano del 19 (Summer of 19). Social media played a crucial role in both the organization and dissemination of the protests, marches, and other activities that occurred within this period. Puerto Ricans in the island and around the world engaged in this social movement through the digital revolution mainly under the hashtag #RickyRenuncia (Ricky Resign), with a small counter movement under the hashtag #RickySeQueda (Ricky will stay). The purpose of this study is to illustrate the magnitude and grass roots nature of the political movement’s social media presence, as well as their characteristics of the population of both movements and their structures. We found that #RickyRenuncia was used approximately one million times in the period of analysis while #RickySeQueda barely reached 6,000 tweets. Particularly, the pervasiveness of cliques in the #RickySeQueda show concentrations of authority dedicated to its propagation, whilst the #RickyRenuncia propagation was much more distributed and decentralized with little to no interaction between significant nodes of authority. Noteworthy was the role of the Puerto Rican diaspora in the United States of America and around the world, contributing close to 40% of all geo-located tweets. Finally, we found that the Twitter followers of the former governor had indicators of being composed of two distinct populations: 1) those active in social media and 2) those who follow the account but who are not active participants of the social network. We discuss the implications of these findings on the interpretation of emergence, structure and dissemination of social activism and countermovement to these activities in the context of Puerto Rico.

scholarly journals Probability distributions of COVID-19 tweet posted trends use a nonhomogeneous Poisson process

2020 ◽  
Vol 1 (4) ◽  
pp. 229-238
Author(s):  
Devi Munandar ◽  
Sudradjat Supian ◽  
Subiyanto Subiyanto
Keyword(s):  
Social Media ◽  
Poisson Process ◽  
Exponential Distribution ◽  
Probability Distributions ◽  
Nonhomogeneous Poisson Process ◽  
Time Interval ◽  
Initial State ◽  
Time Intervals ◽  
Time Parameters ◽  
Parameter Values

The influence of social media in disseminating information, especially during the COVID-19 pandemic, can be observed with time interval, so that the probability of number of tweets discussed by netizens on social media can be observed. The nonhomogeneous Poisson process (NHPP) is a Poisson process dependent on time parameters and the exponential distribution having unequal parameter values and, independently of each other. The probability of no occurrence an event in the initial state is one and the probability of an event in initial state is zero. Using of non-homogeneous Poisson in this paper aims to predict and count the number of tweet posts with the keyword coronavirus, COVID-19 with set time intervals every day. Posting of tweets from one time each day to the next do not affect each other and the number of tweets is not the same. The dataset used in this study is crawling of COVID-19 tweets three times a day with duration of 20 minutes each crawled for 13 days or 39 time intervals. The result of this study obtained predictions and calculated for the probability of the number of tweets for the tendency of netizens to post on the situation of the COVID-19 pandemic.

scholarly journals APPLICATION OF LEARNING REINFORCEMENT METHOD IN ROBOTIZED AND AUTOMATED FORESTRY SYSTEMS

2020 ◽  
Vol 10 (1) ◽  
pp. 256-265
Author(s):  
Andrey Tolstyh ◽  
D Stupnikov ◽  
Sergey Malyukov ◽  
Aleksandr Luk'yanov ◽  
Yuriy Lunev
Keyword(s):  
Physical Environment ◽  
Learning Algorithm ◽  
Back Propagation ◽  
Industrial Robots ◽  
Environment Model ◽  
Random Position ◽  
Learning Reinforcement ◽  
The Stability ◽  
Two Stages ◽  
The Cost

Abstract Currently, most large enterprises are actively using industrial robots and other automated solutions. This allows a significant increase in productivity and quality of work performed. This article gave a brief overview of modern industrial robots, their operating principle, basic components and systems. A reinforcement learning algorithm was developed and tested. The task of constructing a learning algorithm with reinforcement was divided into two stages: modeling the environment and description and optimization of the cost function. Since industrial robotic systems operate in the real world, the environment model should reflect basic physical laws. Therefore, the pyBullet library of the physical environment was chosen as the physical environment for testing. After modeling the manipulator in the selected physical medium, it was given the trivial task of touching a given object with the capture of the manipulator. An artificial neural network was used as an agent interacting with the environment. The inputs were the coordinates of the object and the existing angles of rotation of the articulated joints of the robot. Outputs - angle of rotation of joints at this step. This network was trained using the back propagation method, Adam modification. The system was trained for about 12 hours. Success is achieved in 95% of cases when testing the stability of the system (random position of the cylinder). In future, it is planned to test the obtained models on bench samples

scholarly journals Strategi Bauran Promosi dalam Sosialisasi Lagu Anak: Studi Kasus Album Penyanyi Cilik Naura

2017 ◽  
Vol 2 (1) ◽  
pp. 91-108
Author(s):  
Dwi Okta Renanda
Keyword(s):  
Social Media ◽  
Qualitative Data ◽  
Direct Marketing ◽  
Sales Promotion ◽  
Promotion Strategy ◽  
Public Response ◽  
The Public ◽  
The People ◽  
Children's Songs ◽  
Use Of Social Media

Perkembangan lagu anak di Indonesia mengalami dinamika yang berbeda dari tahun ke tahun. Era 90-an merupakan puncak dimana lagu anak mendapat perhatian yang lebih dari masyarakat Indonesia. Namun kondisi tersebut berbeda dengan keadaan lagu anak sekarang. Sudah tidak banyak lagi penyanyi-penyanyi cilik yang tampil di televisi dan berkurangnya lagu-lagu yang sesuai untuk anak yang kaya akan pesan pendidikan dan nasionalis. Hal ini dikarenakan sudah tidak banyak label rekaman yang memberikan wadah bagi penyanyi cilik dan adanya anggapan bahwa lagu anak kurang laku. Objek penelitian ini adalah album penyanyi cilik Naura dengan topik strategi promosi dan sosialisasi lagu anak. Penelitian ini bertujuan untuk mengkaji strategi bauran promosi album penyanyi cilik Naura dan mengetahui tanggapan masyarakat terhadap album penyanyi cilik Naura. Pendekatan yang dilakukan dalam penelitian ini adalah metode kualitatif dengan data tambahan sebagai pelengkap dari data kuantitatif berupa pemaparan presentase. Data kualitatif didapat dari 3 orang narasumber dan data kualitatif diperoleh dari 34 responden yang merupakan followers Instagram Naura. Hasil yang diperoleh, manajemen Naura menggunakan semua alat bauran promosi, meliputi periklanan, promosi penjualan, publisitas, penjualan perseorangan dan pemasaran langsung. Sedangkan alat promosi utama yang digunakan adalah pemasaran langsung yang difokuskan pada penggunaan media sosial. Hal ini disebabkan karena mayoritas peggemar Naura adalah anak-anak dan remaja yang memiliki akun media sosial. The development of children's songs in Indonesia experienced different dynamics from year to year. The 90's is the peak where the children's song gets more attention from the people of Indonesia. But the condition is different from the state of the child's song now. There are not many singers-singers who appear on television and reduced the appropriate songs for children who are rich in educational and nationalist messages. This is because there are not many record labels that provide a container for the little singers and the assumption that the child's song is less salable.The object of this research is Naura little singer album with the topic of promotion strategy and socialization of children song. This study aims to examine the promotion mix strategy of Naura's little singer album and to know the public response to Naura's little singer album. The approach taken in this research is qualitative method with additional data as complement of quantitative data in the form of presentation of percentage. Qualitative data were obtained from 3 resource persons and qualitative data were obtained from 34 respondents who were followers Instagram Naura. The results obtained, Naura's management uses all promotional mix tools, including advertising, sales promotion, publicity, individual sales and direct marketing. While the main promotional tool used is direct marketing that is focused on the use of social media. This is because the majority of Naura's fans are children and adolescents who have social media accounts.

scholarly journals Prinsip-Prinsip Etika Kristiani Bermedia Sosial

2021 ◽  
Vol 1 (1) ◽  
pp. 56-68
Author(s):  
Simon Simon ◽  
Tan Lie Lie ◽  
Heppy Wenny Komaling
Keyword(s):  
Social Media ◽  
Public Space ◽  
Hate Speech ◽  
Christian Ethics ◽  
Media Ethics ◽  
Literature Study ◽  
The Public ◽  
Study Approach ◽  
The People ◽  
At Will

Indonesian netizens are often labeled as social media users at will without heeding politeness when interacting. This assessment is further confirmed by a survey conducted by Microsoft,  that Medsos users are labeled as netizens with the worst politeness level for Southeast Asia scale. The predicate is certainly aimed at allreligius netizens without emphasizing certain beliefs. The low politeness indicates the lack of social media ethics applied by the people of the country. Ironically, Indonesia is known as areligius and civilized country, it seems invisible if you look at the behavior of netizens who are. The method used in this paper is descriptive qualitative method with a literature study approach. The description of this topic religion certainly teaches how politeness and politeness in the public space are displayed especially in social media, because politeness is an indikator we are called ethical or not. The principle of Christian ethics teaches that when using social media what a believer must do is not to do body shaming with other online media users, or not to comment racistically. Because God does not differentiate between fellow humans by loving one and not loving another just because humans are different physically, race or nation. The next principle of Christian ethics in social media is not to argue theologically and not to spit negative things. The goal is to avoid quarrels, let alone hate speech. Netizen Indonesia kerap di cap sebagai pengguna media sosial sesuka hati tanpa mengindahkan kesantunan ketika berinteraksi. Penilaian ini makin dipertegas melalui survei yang dilakukan oleh Microsoft,  bahwa pengguna Medsos dilabeli sebagai netizen dengan tingkat kesopanan paling buruk untuk skala Asia Tenggara. Predikat itu tentu ditujukan kepada semua netizen yang beragama tanpa menitik-beratkan keyakinan tertentu. Rendahnya kesopanan menandakan kurangnya etika bermedia sosial diterapkan oleh masyarakat tanah air. Ironisnya, Indonesia yang di kenal sebagai negara yang religius dan beradab, hal itu seakan tidak terlihat bila melihat perilaku netizen yang bar-bar. Metode yang digunakan dalam tulisan ini adalah metode kualitatif deskriftif dengan pendekatan studi kepustakaan. Uraian dari topik ini agama tentu mengajarkan bagaimana kesopanan dan kesantunan di ruang publik ditampilkan terlebih dalam bermedia sosial, karena kesopanan itu merupakan indikator kita di sebut beretika atau tidak. Prinsip etika Kristiani mengajarkan bahwa ketika bermedia sosial  yang  harus dilakukan orang Kristen  adalah tidak melakukanbody shaming kesesama pengguna media online, maupun tidak berkomentar secara rasis. Karena Allah tidak membeda-bedakan sesama manusia dengan mengasihi yang satu dan tidak mengasihi yang lain hanya karena manusia itu berbeda secara fisik, ras atau bangsa. Prinsip etika Kristiani berikutnya dalam bermedia sosial adalah tidak berdebat secara teologis dan tidak mengumbar hal negatif. Tujuannya  agar tidak terjadi pertengkaran apalagi ujaran kebencian.

scholarly journals SENTIMENT ANALYSIS FOR SARCASTIC MESSAGES IN SOCIAL MEDIA USING DEEP LEARNING TECHNIQUES - AN EMPIRICAL STUDY

2021 ◽  
Vol 9 (2) ◽  
pp. 1051-1052
Author(s):  
K. Kavitha, Et. al.
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Empirical Study ◽  
Sentiment Analysis ◽  
Learning Strategies ◽  
Language Processing ◽  
The People ◽  
Learning Techniques ◽  
Key Terms ◽  
Learning Frameworks

Sentiments is the term of opinion or views about any topic expressed by the people through a source of communication. Nowadays social media is an effective platform for people to communicate and it generates huge amount of unstructured details every day. It is essential for any business organization in the current era to process and analyse the sentiments by using machine learning and Natural Language Processing (NLP) strategies. Even though in recent times the deep learning strategies are becoming more familiar due to higher capabilities of performance. This paper represents an empirical study of an application of deep learning techniques in Sentiment Analysis (SA) for sarcastic messages and their increasing scope in real time. Taxonomy of the sentiment analysis in recent times and their key terms are also been highlighted in the manuscript. The survey concludes the recent datasets considered, their key contributions and the performance of deep learning model applied with its primary purpose like sarcasm detection in order to describe the efficiency of deep learning frameworks in the domain of sentimental analysis.

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