Popular Communication Research Articles

Smart Wireless System For Different Wireless Technologies

These days most of the population in the world is experiencing and having knowledge in the name of Wireless communication. The most popular wireless communication networks like GSM, CDMA, WLAN and Bluetooth use differentfrequencies for working. To use all the technologies in a single unit a device which is capable of sensing multiplefrequencies is required at the front end of communication block; frequency reconfigurable antenna is the best option for sensing multiple frequency bands. The Reconfigurable Software Defined Radio based Multiband Transceivers are the best solution for next generation of wireless communication for smart sensing of various frequency bands for operation of various communication technologies in a single unit. By the year 2021 there will be a drastic increase in number of mobile applications, technologies and number of users. It affects various issues in wireless communication such as speed, data transfer rate etc. In this article we are proposing a smart wireless system for various frequency bands of operation. This paper explains multiple frequencies sensing by a single smart wireless system. Output results show the frequency spectrum plot of most popular communication technologies.

Um movimento pedagógico e o pedagógico em movimento: as vertentes Freireanas da comunicação e da radiodifusão comunitária

The focus of this study is about alternative popular communication movements, specifically those called Community Broadcasting. Taking the bibliographic research as a methodological strategy, the objective was to analyze the contributions of Paulo Freire’s educational thinking to the formulation of a potentially more horizontal and participatory communication proposal in Brazil and Latin America. Based on the work of Paulo Freire and authors in the field of communication, the following are the main Freirean contributions: the idea that communicating, informing and educating are inseparable elements in social communication; the complaint about banking practices in education and communication; facing the monopoly of the word and encouraging everyone to make their voice heard; the premise that the intelligibility of the world is constituted in the human-world interaction ; and, finally, the dialogical character of human communication as the driving force of a more democratic media proposal.

Classification of community opinion on the use of the Transjakarta bus based on twitter social network using naïve bayes method

At this time, social networking is becoming a very popular communication tool among Indonesians ranging from children to adults. One of them is Twitter, which has quite a lot of users. This social network is used by users to write their opinions on a matter. One of the topics discussed in the Twitter social network is the Trans-Jakarta bus. In this study, the opinions of Trans-Jakarta bus users listed on Twitter are only limited to positive and negative opinions. An application designed to predict positive or negative opinions using the Naïve Bayes algorithm. The Naïve Bayes algorithm was chosen because it only requires a small amount of training data to estimate averages and variable variations. The developed application can make it easier for decision-makers towards Trans-Jakarta to find out public opinion on Trans-Jakarta bus services. The resulting system accuracy is 73% because the amount of training data used is only 62.5% of the total data of 50 data. While the test data that has been used are only 30 data. The proportions of the training and testing data affect the level of accuracy, so if you want a higher level of accuracy you can reproduce the training data used.

A study of outline to the advantages and disadvantages of social media

Social media is the new technology of computer that enhances the sharing of thoughts and information in order to building virtual networks and communities. Social media is based on internet and facilitate easy electronic communication about personal information and contents, such as photos and videos. Users can engage with social media by using computer, Smartphone or tablet via internet based software or web application. Social media is a tool that initially used by people to interact with family or friends but later it was adopted by businesses that take advantage of a new popular communication method to reach out to customers. The strength of social media is related to share and connect information with everybody all over the world who is using social media. This article argues on social media"s advantages and disadvantages in present era.

"O Candeeiro”:: The popular communication tool in the strengthening of agroecological family agriculture in the “sertão of Pajeú”, a semi-arid region of Brazil.

Este trabalho objetiva analisar como o boletim “O Candeeiro”, instrumento de comunicação da Articulação no Semiárido Brasileiro (ASA Brasil), fortalece a agricultura familiar e a agroecologia noSertão do Pajeú. Trata-se de uma pesquisa bibliográfica e documental na qual se fez o levantamento e análise dos temas e experiências exitosas sistematizadas e publicadas no “site” da ASA Brasil entre os anos 2012 e 2020. Também foi realizada uma entrevista com 17 pessoas que leem e utilizam as informações contidas no periódico analisado. Observou-se que essas práticas e iniciativas envolvem dimensões importantes para o fortalecimento da agricultura familiar no semiárido, com destaque para o acesso à terra e à água, conservação de sementes crioulas e o protagonismo da mulher que demandam ações de políticas públicas de convivência com o semiárido. Conclui-se que “O Candeeiro” promove a troca de saberes e experiências exitosas no Sertão do Pajeú inspirando mudanças

Do diálogo à experiência extensionista nos territórios do Sisal e Piemonte Norte do Itapicuru pela FETRAF-BA

Este trabalho configura-se como um relato de vivência da agricultura familiar por meio de diálogos e atividades em comunidades rurais, nos territórios do Sisal e Piemonte Norte do Itapicuru, junto a Federação dos Trabalhadores Rurais da Agricultura Familiar da Bahia (FETRAF-BA) – Unidade de Senhor do Bonfim. Objetiva-se relatar a vivência nas comunidades e propriedades rurais do município de Senhor do Bonfim, Pindobaçu, Ponto Novo e Monte Santo, com foco em diferentes áreas da produção rural, abordando desde o acompanhamento efetivo de assistência técnica para agricultura, pecuária, nas melhorias ambientais e o empreendedorismo, até o processo de organização e efetivações de atividades sociais nas comunidades. O relato aborda as ações num contexto social de comunicação popular e agricultura familiar, por meio de atividades extensionistas e visitas técnicas acompanhadas, durante o estágio supervisionado curricular do curso de Engenharia Agronômica da Universidade do Estado da Bahia (UNEB). As atividades desenvolvidas propiciaram o entendimento da dinâmica de trabalho de uma organização voltada para ações de extensão. Assim, de forma conjunta, foi possível compreender as formas de abordagem e sistematização das ideias por parte dos técnicos da FETRAF-BA nas comunidades. O resultado dessa vivência refletiu no entendimento prático das técnicas de extensão e da importância da aproximação, diálogo e construção do conhecimento das atividades extensionistas para a melhoria e organização das comunidades rurais.

SENTIMENT ANALYSIS OF ELECTRIC CARS USING RECURRENT NEURAL NETWORK METHOD IN INDONESIAN TWEETS

Sentiment analysis is computational research of the opinions of many people who are textually expressed against a particular topic. Twitter is the most popular communication tool among Internet users today to express their opinions. Deep Learning is a solution to allow computers to learn from experience and understand the world in terms of the hierarchy concept. Deep Learning objectives replace manual assignments with learning. The development of deep learning has a set of algorithms that focus on learning data representation. The recurrent Neural Network is one of the machine learning methods included in Deep learning because the data is processed through multi-players. RNN is also an algorithm that can recall the input with internal memory, therefore it is suitable for machine learning problems involving sequential data. The study aims to test models that have been created from tweets that are positive, negative, and neutral sentiment to determine the accuracy of the models. The models have been created using the Recurrent Neural Network when applied to tweet classifications to mark the individual classes of Indonesian-language tweet data sentiment. From the experiments conducted, results on the built system showed that the best test results in the tweet data with the RNN method using Confusion Matrix are with Precision 0.618, Recall 0.507 and Accuracy 0.722 on the data amounted to 3000 data and comparative data training and data testing of ratio data 80:20

Development and testing of an FPT.AI-based voicebot

In recent years, voicebot has become a popular communication tool between humans and machines. In this paper, we will introduce our voicebot integrating text-to-speech (TTS) and speech-to-text (STT) modules provided by FPT.AI. This voicebot can be considered as a critical improvement of a typical chatbot because it can respond to human’s queries by both text and speech. FPT Open Speech, LibriSpeech datasets, and music files were used to test the accuracy and performance of the STT module. For the TTS module, it was tested by using text on news pages in both Vietnamese and English. To test the voicebot, Homestay Service topic questions and off-topic messages were input to the system. The TTS module achieved 100% accuracy in the Vietnamese text test and 72.66% accuracy in the English text test. In the STT module test, the accuracy for FPT open speech dataset (Vietnamese) is 90.51% and for LibriSpeech Dataset (English) is 0% while the accuracy in music files test is 0% for both. The voicebot achieved 100% accuracy in its test. Since the FPT.AI STT and TTS modules were developed to support only Vietnamese for dominating the Vietnam market, it is reasonable that the test with LibriSpeech Dataset resulted in 0% accuracy.

Radio frequency fingerprinting identification for Zigbee via lightweight CNN

Zigbee is a popular communication protocol in the Internet of things (IoT) which shows great potential in smart home. However, the smart device has the risk of being hijacked by unauthorized users and may result in privacy disclosure. Traditional device identification is based on cryptography which is easy to be cracked. Recently, radio frequency fingerprinting identification (RFFID) is popular in device identification. Traditional RFFID’s power consumption and cost is unacceptable to Zigbee. In order to reduce the cost, more effective model can be used to reduce the number of neurons. This paper proposes a RFFID method based on lightweight convolution neural network (CNN) which can adopt low power consumption and cost. The simulation result shows that this method can identification Zigbee device, and the accuracy reached 100%. Also, the parameter has reduced to about 93%.

ANALISIS CAMPUR KODE PADA MEDIA SOSIAL WHATSAPP (WA)

Language is a symbol of an arbitrary sound that is spoken with goals such as communication and opinion. Its role is very important, because by communicating humans can get information and knowledge. The researchers chose 10 students who mixed codes in giving private or group messages, which should either group messages or private message senders do not mix the code with local or foreign languages. Researchers aim to describe the code mix found on whatsapp social media which is currently a very popular communication tool. The research method used is descriptive qualitative. Research data taken were private and group messages on WA. From the results of the study note that the code mixing that occurs in the Whatsapp communication media in the form of phrases, words, and baster. The factors causing the occurrence of code mixing are due to the factors of the speaker's attitude and language that occurs.

Research on Urban Traffic Signal Control Systems Based on Cyber Physical Systems

In this paper, we present a traffic cyber physical system for urban road traffic signal control, which is referred to as UTSC-CPS. With this proposed system, managers and researchers can realize the construction and simulation of various types of traffic scenarios, the rapid development, and optimization of new control strategies and can apply effective control strategies to actual traffic management. The advantages of this new system include the following. Firstly, the fusion architecture of private cloud computing and edge computing is proposed for the first time, which effectively improves the performance of software and hardware of the urban road traffic signal control system and realizes information security perception and protection in cloud and equipment, respectively, within the fusion framework; secondly, using the concept of parallel system, the depth of real-time traffic control subsystem and real-time simulation subsystem is realized. Thirdly, the idea of virtual scene basic engine and strategy agent engine is put forward in the system design, which separates data from control strategy by designing a general control strategy API and helps researchers focus on control algorithm itself without paying attention to detection data and basic data. Finally, considering China, the system designs a general control strategy API to separate data from control strategy. Most of the popular communication protocols between signal controllers and detectors are private protocols. The standard protocol conversion middleware is skillfully designed, which decouples the field equipment from the system software and achieves the universality and reliability of the control strategy. To further demonstrate the advantages of the new system, we have carried out a one-year practical test in Weifang City, Shandong Province, China. The system has been proved in terms of stability, security, scalability, practicability and rapid practice, and verification of the new control strategy. At the same time, it proves the superiority of the simulation subsystem in the performance and simulation scale by comparing the different-scale road networks of Shunyi District in Beijing and Weifang City in Shandong Province. Further tests were conducted using real intersections, and the results were equally valid.

Empirical Performance Analysis of Collective Communication for Distributed Deep Learning in a Many-Core CPU Environment

To accommodate lots of training data and complex training models, “distributed” deep learning training has become employed more and more frequently. However, communication bottlenecks between distributed systems lead to poor performance of distributed deep learning training. In this study, we proposed a new collective communication method in a Python environment by utilizing Multi-Channel Dynamic Random Access Memory (MCDRAM) in Intel Xeon Phi Knights Landing processors. Major deep learning software platforms, such as TensorFlow and PyTorch, offer Python as a main development language, so we developed an efficient communication library by adapting Memkind library, which is a C-based library to utilize high-performance memory MCDRAM. For performance evaluation, we tested the popular collective communication methods in distributed deep learning, such as Broadcast, Gather, and AllReduce. We conducted experiments to analyze the effect of high-performance memory and processor location on communication performance. In addition, we analyze performance in a Docker environment for further relevance given the recent major trend of Cloud computing. By extensive experiments in our testbed, we confirmed that the communication in our proposed method showed performance improvement by up to 487%.

Fault-Tolerant Network-On-Chip Router Architecture Design for Heterogeneous Computing Systems in the Context of Internet of Things.

Network-on-chip (NoC) architectures have become a popular communication platform for heterogeneous computing systems owing to their scalability and high performance. Aggressive technology scaling makes these architectures prone to both permanent and transient faults. This study focuses on the tolerance of a NoC router to permanent faults. A permanent fault in a NoC router severely impacts the performance of the entire network. Thus, it is necessary to incorporate component-level protection techniques in a router. In the proposed scheme, the input port utilizes a bypass path, virtual channel (VC) queuing, and VC closing strategies. Moreover, the routing computation stage utilizes spatial redundancy and double routing strategies, and the VC allocation stage utilizes spatial redundancy. The switch allocation stage utilizes run-time arbiter selection. The crossbar stage utilizes a triple bypass bus. The proposed router is highly fault-tolerant compared with the existing state-of-the-art fault-tolerant routers. The reliability of the proposed router is 7.98 times higher than that of the unprotected baseline router in terms of the mean-time-to-failure metric. The silicon protection factor metric is used to calculate the protection ability of the proposed router. Consequently, it is confirmed that the proposed router has a greater protection ability than the conventional fault-tolerant routers.

Mapping the Scholarship of Fake News Research: A Systematic Review

ABSTRACT This study empirically examined studies on fake news through a content analysis of 103 peer-reviewed articles obtained from the eight major databases. The articles were published between 2000 and 2018. This systematic review of the journals, progression, theories, methodologies, media genres, common used words, and geospatial distribution indicated that the majority of the articles were published in Journalism Practice, Popular Communication, Digital Journalism, and Journalism Studies. Regarding progression, the highest number of publications was recorded for 2017 and 2018. At least one article was published each year beginning in 2005; 2006 and 2014 were exceptions. The results indicate that the majority of the articles were atheoretical. Qualitative research methods, content analysis, and surveys which were applied oftentimes. The studies were equally distributed across all media genres (traditional, digital, and social media). However, television and Twitter were the platforms that received the greatest amount of scholarly attention. The articles focused on the United States more than any other country. Finally, “news,” “media,” and “fake” were the most regularly frequently occurring words.

Paulo Freire’s role and influence on the praxis of popular communication in Brazil

The article approaches the relationship between the aims of Paulo Freire’s education for liberation and the praxis of popular communication in Brazil. The goal is to understand the extent to which aspects of Freire’s thoughts can intersperse with concepts and practices of popular, community, and alternative communication in Brazil. The study is based on bibliographic research on Freire’s work while reflecting on some of the principles of the education for liberation, particularly those embedding the praxis of popular communication in social movements. This paper concludes by arguing that principles such as ‘communication as dialogue’, ‘critical consciousness’, the ability to become a ‘subject’, ‘education as a practice for freedom’, ‘connection to reality’, and ‘social transformation’ lie prominently in the concept and practices of popular and community communication.

BER Performance Comparison of Variable On-Off Keying and Variable Pulse Position Modulation Techniques

In wireless optical systems, Visible Light Communication (VLC) is one of the most popular communication systems. In this study, a Bit Error Rate (BER) performance comparison is given for Variable On-Off Keying (VOOK) and Variable Pulse Position Modulation (VPPM) which are extensively used in VLC systems. According to simulation and theoretical results, it is shown that the BER performances of systems are similar. In this paper, an ambient light noise is added to Additive White Gaussian Noise to extend the BER performance analysis. From simulation results, it is obtained that the impact of ambient light noise is very high for VOOK while it is quite poor for VPPM. Hence, the BER performance of VPPM has better than that of VOOK under ambient light noise.

SocialBlock: An architecture for decentralized user-centric data management applications for communications in smart cities

Smart city projects stand out for including a wide array of communication systems and heterogeneous technologies operated by multiple entities that collect data from citizens in very different ways. Basically, these projects involve three main actors that may have conflicting interests regarding the ownership and exploitation of the generated data: public administrations, service providers and citizens. Nevertheless, this is not a new problem. Actually, the most popular communication systems on the Internet, such as social networks, often have issues of this kind that can become highly visible in the press, especially when service providers, who commonly store data generated by their users via centralized models, have a security issue leading to a massive data leak, or when providers take advantage of their dominant position to exploit data improperly or sell it to third parties. This paper proposes an architecture to create user-centric data management applications for communications in smart cities where data is stored and managed in a decentralized way to reduce dependency on service providers and return control of the data to the different actors involved in the communications. In this paper, a proof of concept of the proposed architecture is implemented, using Ethereum and the InterPlanetary File System (IPFS) as the main tools, to demonstrate its feasibility, show concrete protocols, and discuss the proposal on an empirical basis.

Implementasi Algoritma Mars Pada Pengamanan SMS

SMS (Short Message Service) is a popular communication technology revolution. The development of computerized technology has been very advanced. SMS is very vulnerable to data theft or theft by irresponsible parties. For the sake of maintaining the security of SMS can be done by using cryptographic techniques. Cryptographic techniques can encode text messages by encrypting them into passwords that are not understood. Mars algorithm is an algorithm that uses a 128-bit key and the encryption process consists of 32 rounds. This symmetry algorithm will produce a higher level of security for the ultrasound image because it can encode it into a form of cipher with a process that is complex enough so that it will be difficult for cryptanalysts to access the image. This research will use the Mars algorithm for the encryption and decryption process, so the process needs to go through several long stages in order to produce the final cipher. This study describes the process of securing SMS by encoding it based on the Mars algorithm, in the form of a password that is difficult for others to understand and understand. This is done as an effort to minimize acts of misuse of SMS

Using generalizability theory to evaluate the comparative reliability of developmental measures in neurogenetic syndrome and low-risk populations

BackgroundThe lack of available measures that can reliably characterize early developmental skills in children with neurogenetic syndromes (NGS) poses a significant challenge for research on early development in these populations. Although syndrome-specific measures may sometimes be necessary, a more cost- and time-efficient solution would be to identify existing measures that are appropriate for use in special populations or optimize existing measures to be used in these groups. Reliability is an important metric of psychometric rigor to consider when auditing and optimizing assessment tools for NGS. In this study, we use Generalizability Theory, an extension of classical test theory, as a novel approach for more comprehensively characterizing the reliability of existing measures and making decisions about their use in the field of NGS research.MethodsWe conducted generalizability analyses on a popular early social communication screener, the Communication and Symbolic Behavior Scales—Infant-Toddler Checklist (CSBS-ITC), collected on 172 children (41 Angelman syndrome, 30 Prader-Willi syndrome, 42 Williams syndrome, 59 low-risk controls).ResultsOverall, the CSBS-ITC demonstrated at least adequate reliability in the NGS groups included in this study, particularly for the Prader-Willi and Williams syndrome groups. However, the sources of systematic error variance in the CSBS-ITC varied greatly between the low-risk control and NGS groups. Moreover, as unassessed in previous research, the CSBS-ITC demonstrated substantial differences in variance sources among the NGS groups. Reliability of CSBS-ITC scores was highest when averaging across all measurement points for a given child and was generally similar or better in the NGS groups compared to the low-risk control group.ConclusionsOur findings suggest that the CSBS-ITC communicates different information about the reliability of stability versus change, in low-risk control and NGS samples, respectively, and that psychometric approaches like Generalizability Theory can provide more complete information about the reliability of existing measures and inform decisions about how measures are used in research on early development in NGS.

¿Por qué y para qué la Comunicación Popular? Apuntes sobre pueblo, subjetivación y política

Este ensayo se propone, con las limitaciones propias de quien analiza un fenómeno tan vivo, apuntar algunas ideas que ayuden a aclarar los alcances de la Comunicación Popular y la importancia que ella tiene como precondición de la actividad política. Para esto, se reflexiona sobre las nociones de pueblo y lo popular, los procesos de subjetivación y la relación que entre ellos establecen los ejercicios populares de comunicación, consideradas prácticas esenciales para sociedades que persigan ideales democráticos. El trabajo se basa en la idea de la Comunicación Popular como ejercicio conflictivo toda vez que, a través de la instalación de contradiscursos que hacen frente a una oficialidad comunicativa institucional, profesional e ideológica, se cuestiona la configuración del espacio público y se litiga con los procesos dominantes de identificación, permitiendo la existencia de desacuerdo y, en definitiva, haciendo posible la política. No se trata de una descripción de la Comunicación Popular, ni mucho menos de una enumeración de sus elementos constitutivos: más bien es un intento por defender el lugar que ella debe ocupar en nuestra vida en sociedad y en el espacio de lo común.