Popular Applications Research Articles

Real-World Multimedia Streaming for Software Defined Vehicular Ad Hoc Networks

Multimedia services with required Quality of Service (QoS) is one of the most critical challenges in Software Defined Network (SDN) based Vehicular Ad-Hoc Networks (VANETs). It forms an essential part of the Intelligent Transport System (ITS), where infotainment services play an essential role.Streaming multimedia is one of the most popular applications and has a high demand for VANET infotainment services. The major issues for multimedia streaming on VANET are scalability, mobility of vehicles, frequent connection failures, frequent change in network topology, and distributed architecture with heterogeneous devices. To overcome these problems and provide a better QoS, we propose using a hybridarchitecture with a combination of VANET and SDN called Software-Defined Vehicular Networks (SDVN). This work presents a modified POX controller-based SDN framework for VANETs, especially for multimedia streaming applications in realistic traffic patterns. The proposed work has a real-world setup developed using Simulation of Urban Mobility (SUMO), where iPerf generates multimedia traffic. Also, streaming standard-definition YouTube videos in real-time between the vehicular nodes was done. The modified POX controller could take advantage of the centralised perspective of the network for action determination, and the integrated spanning tree algorithm reduced the redundancy. Despite the dynamic nature of the testing environments, the proposed Modified POX Controller consistently outperformed VANET, with up to 21 to 42% better packet delivery ratio for higher data transfer rates. The overall improvement in QoS parameters also accompanies an improvement in the consumers Quality of Experience (QoE) factors.

Enhancing HTTP Web Protocol Performance with Updated Transport Layer Techniques

Popular Internet applications such as web browsing, and web video download use HTTP protocol as application over the standard Transport Control Protocol (TCP). Traditional TCP behavior is unsuitable for this style of application because their transmission rate and traffic pattern are different from conventional bulk transfer applications. Previous works have analyzed the interaction of these applications with the congestion control algorithms in TCP and the proposed Congestion Window Validation (CWV) as a solution. However, this method was incomplete and has been shown to present drawbacks. This paper focuses on the ‘newCWV’ which was designed to address these drawbacks. NewCWV provides a practical mechanism to estimate the available path capacity and suggests a more appropriate congestion control behavior. This paper describes how this algorithm was implemented in the Linux TCP/IP stack and tested by experiments, where results indicate that, with newCWV, the browsing can get 50% faster in an uncongested network.

THE INFLUENCE OF JOB FLEXIBILITY ON ONLINE DRIVER PERFORMANCE MEDIATED BY JOB SATISFACTION

In the current technological era, humans need travel services that are easy to get to help with daily activities, such as online transportation. Service companies are now competing with each other to create online- based transportation applications. One of the popular online transportation applications in Indonesia is Gojek. The purpose of this study is to determine the effect of work flexibility on online driver performance mediated by job satisfaction at PT. Gojek Indonesia The population used in this study were Gojek drivers in the JABODETABEK area. The type of research used in this study was quantitative research. The data source used is primary data both from the results of questionnaires and survey data or journals. The sampling technique used the Hair et al 2010 formula, and the sampling in this study was carried out by distributing questionnaires with a total sample of 77 respondents. The analysis technique used in this study is multiple linear regression analysis using SMART PLS version 3.0. Based on the findings of this study, it will help companies improve the performance of drivers that there is a study of work flexibility when it is more seriously carried out, this is the fruit of an effort to apply drivers to be able to manage their work time so that they can manage their own work so that work time is not disturbed others and feel satisfied with their work and it will all make their performance increase

Implementation and management of cloud security for industry 4.O - data using hybrid elliptical curve cryptography

Industry 4.0 places a premium on cloud security since more and more companies are moving their activities to the cloud to reap the benefits of the Fourth Industrial Revolution.The term “cloud computing” refers to a collection of Internet-based hardware and software tools. Providers of cloud services use data centers situated in various physical locations. Cloud computing makes life easier for users by making remote, simulated resources available over the internet. Google Apps and Microsoft SharePoint are two examples of popular cloud applications. In addition to its exciting potential, the “cloud computing” industry's lightning-fast expansion raises serious security concerns. When discussing security, cloud really suffers from Open Systems' and the internet's perennial problem. The only thing stopping the widespread use of cloud computing is the lack of trust in the system. There are a number of security concerns with cloud computing, including protecting user data and vetting cloud service providers' practices. Using encryption, confidential information can be sent over an unsecured channel without fear of data loss or manipulation. Data encryption using various protocols has been used in various settings. Different cryptosystems were developed and used at various times. Additionally, cloud computing enables multiple users to access and retrieve data simultaneously through their own personal Internet connections, which increases the risk of confidential data loss and exposure in a number of different places. Elliptic Curve Cryptography and other cryptographic algorithms have been used to develop numerous methods and protocols that guarantee the security and privacy of transmitted data. In this paper, we suggest a safe and efficient method for sharing information in the cloud without compromising its safety or integrity. The proposed system is able to guarantee authentication and data integrity because it uses a hybrid of the ECC and the Advanced Encryption Standard (AES) technique. The experimental results confirm the proposed approach outperforms the current gold standard.

Skin-Screen: A Computational Fabrication Framework for Color Tattoos

Tattoos are a highly popular medium, with both artistic and medical applications. Although the mechanical process of tattoo application has evolved historically, the results are reliant on the artisanal skill of the artist. This can be especially challenging for some skin tones, or in cases where artists lack experience. We provide the first systematic overview of tattooing as a computational fabrication technique. We built an automated tattooing rig and a recipe for the creation of silicone sheets mimicking realistic skin tones, which allowed us to create an accurate model predicting tattoo appearance. This enables several exciting applications including tattoo previewing, color retargeting, novel ink spectra optimization, color-accurate prosthetics, and more.

Analysis of Application Success in XYZ Agency as an Online Learning Media Using the Delone and Mclean Models

Internet users in Indonesia have shown a rapid increase. This indicates that the development of information and communication technology is growing, bringing many life changes, thus demanding the education industry to strive to improve the quality of education continuously. However, at the beginning of 2019, COVID-19 pandemic emerged, which required that all students not be allowed to do face-to-face learning. Because of this problem, companies are starting to create online learning technologies that have a positive impact. In 2022, XYZ application is a learning application ranked 9th among the most popular applications. Nevertheless, in its use, there are still obstacles. Based on this description, this study will analyze application's success using Delone and Mclean models to determine whether application has been considered successful. The research data was obtained by distributing questionnaires online with a total of 240 respondents who were users who had used e-learning in XYZ agency with an age range of 15 to 45 years. This study used quantitative methods and data processing using Smart PLS version 4 software to test inner and outer models. The results showed that success rate of e-learning in XYZ agency was very high, and out of twelve hypotheses, eight were accepted, and four were rejected. The factors that support success of e-learning in XYZ agency are seen from accepted hypotheses. At the same time, factors that hinder application's success are information quality, system quality, service quality, instructor quality, and user satisfaction. From these inhibiting factors, appropriate recommendations are then given. The results of this research are expected to be considered by e-learning in XYZ agency developers and providers

Evaluating popular STEM applications for young children

ABSTRACT Science, Technology, Engineering, and Mathematics (STEM) has received widespread attention worldwide and technology companies designed educational applications (apps) focusing on STEM. Young children have access to tablets and smartphones and they engage with a variety of apps every day. Prior research showed that young children learn from educational apps when they are used intentionally. However, children’s caregivers may have limited information on finding educational apps and rely on the ratings on the digital app markets before downloading apps for their children. We evaluated the educational content and developmental appropriateness of 30 popular STEM applications in Turkey. The majority of the apps focused on science and math concepts, while engineering and technology concepts were often neglected. Most of the apps had higher scores on being bias-free and child-friendly but had lower scores on app features (sound quality, configuration ability, progress monitoring, and feedback) as well as providing social interaction opportunities. Most of the apps were available in English and the country’s local language was often unavailable. App designers should design apps that encourage children’s social interactions, include feedback and progress monitoring features for children and caregivers, and be available in the country's local language.

Resource Management in Mobile Edge Computing: A Comprehensive Survey

With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC) has emerged as a major computing paradigm. Compared to cloud computing, MEC integrates network control, computing, and storage to customizable, fast, reliable, and secure distributed services that are closer to the user and data site. Although a popular research topic, MEC resource management comes in many forms due to its emerging nature and there exists little consensus in the community. In this survey, we present a comprehensive review of existing research problems and relevant solutions within MEC resource management. We first describe the major problems in MEC resource allocation when the user applications have diverse performance requirements. We discuss the unique challenges caused by the dynamic nature of the environments and use cases where MEC is adopted. We also explore and categorize existing solutions that address such challenges. We particularly explore traditional optimization-based methods and deep learning-based approaches. In addition, we take a deeper dive into the most popular applications and use cases that adopt MEC paradigm and how MEC provides customized solutions for each use cases, in particular, video analytics applications. Finally, we outline the open research challenges and future directions. 1

GOVERNMENT COMMUNICATION STRATEGIES IN PUBLICIZING POLICIES, PROGRAMS, ACTIVITIES AND REGIONAL DEVELOPMENT ACHIEVEMENTS IN THE DIGITAL ERA (Case Study in The Leadership Administration Bureau of The Regional Secretariat of The Northern Sulawesi Province)

This research aims to analyze the government's communication strategy through the Bureau of Leadership Administration at the Regional Secretariat of North Sulawesi Province in publicizing policies, programs, activities, and regional development achievements in the digital era. The method used in this research is a descriptive qualitative method. The informants used in this study were selected using purposive sampling technique, totaling 11 people. Data collection was carried out through observation, interviews, and documentation. The research focused on planning aspects, objectives, message aspects, and media aspects. Data analysis was conducted by data reduction, data presentation, and drawing conclusions. The findings reveal that the government's communication strategy for publishing policies, programs, activities, and regional development achievements involves a systematic approach. The planning aspect consists of message preparation, design, and publication stages. The strategy primarily targets the community, aiming to provide them with government communication. The message aspect includes conveying information about upcoming and implemented policies, as well as regional development programs, activities, and achievements. The chosen media platform for publishing is Instagram, a popular social media application. In conclusion, the government's communication strategy in publicizing policies, programs, activities, and achievements of regional development in the Bureau of Administration of the Regional Secretariat of North Sulawesi Province is effective, despite relying solely on Instagram as the chosen social media platform. Therefore, it is recommended to utilize other social media platforms such as Facebook, YouTube, and others for broader reach and dissemination.

Plant identification applications do not reliably identify toxic and edible plants in the American Midwest

Introduction Exposure to potentially toxic plants is a global problem, resulting in thousands of calls to poison centers and emergency department visits annually and occasional deaths. Persons with limited botanical knowledge may be tempted to rely on smartphone applications to determine if plants are safe to forage. This study evaluated the reliability of several popular smartphone applications to identify foraged foods and distinguish them from potentially toxic plants in the Midwestern United States. Methods Sixteen plant species were selected based on local availability, attractiveness as foraged food, and potential for misidentification. Of the 16 species, five are edible, three are potentially toxic if improperly harvested or prepared, and eight are considered to be toxic. Plant specimens were identified by graduate-level botanists and photographed during multiple stages of their growth cycles. LeafSnap, PictureThis, Pl@ntNet and PlantSnap were used to identify the plants. Results Overall accuracy of the applications in identifying plant genus was 76% (95% confidence interval: 73–79, range 96% for PictureThis to 53% for PlantSnap). Accuracy for identification of plant species was 58% (95% confidence interval 55–62%, range 94% for PictureThis to 34% for PlantSnap). Five of eleven potentially toxic species were identified as an edible species by at least one application. Conclusion Accuracy of the smartphone applications varies, with PictureThis outperforming other apps. At this time, apps cannot be used to safely identify edible plants. Foragers must have adequate botanical knowledge to ensure safe harvesting of wild plants.

Using Singing Method Assisted by Popular Children's Song Application in Mufrodat Learning

This study aims to determine the mufrodat memorization ability using the singing method assisted by the Popular Children's Song Application. Fifteen children aged 7-10 years participated in this study to take part in the "I Love Arabic" program in the Sukamulya Village, Palangka Raya, Central Kalimantan. A quantitative approach with a pre-experimental research method was used. Data were collected through tests, observation, and documentation. Descriptive statistical data analysis by presenting the average and N-Gain was used. The results showed that average of the pretest of children's abilities in memorizing mufrodat before the treatment was 37.88. In comparison, the average of the post-test after using the singing method assisted by Popular Children's Song's application was 54.44. The N-Gain value shows that there is a low increase in memorization ability with a value of 0.266. The low increase in children's abilities is influenced by several factors, such as the children's ability to read the alphabet and hijaiyyah letters which are still very low, unclear pronunciation, and the lack of ability to distinguish Hijaiyyah letters which have similarities in sound and writing.

Smart contract applications in tourism

Based on blockchain technology, smart contracts promise to revolutionize the way parties legally agree. Smart contracts could enable tourism service providers to trade directly with customers bypassing some intermediaries. The study aims at identifying the provided services, economic impact, partners, popularity, technical and technological factors of smart contract applications in various tourism areas. It investigates ten popular smart contract applications that cover a wide spectrum of tourism areas such as hotel reservations, airline tickets, car rentals, payment management, reward programmes, traveller identity, luggage tracking, validity of reviews and ratings and more. These applications are analysed with respect to their purpose, business model, economic impact, partners, provided services, popularity, as well as what cryptocurrency and blockchain they use. Smart contracts enable time and transaction cost savings, convenience, flexibility, security, trust, ease verification of personal data and more. Most applications gained popularity mainly during 2018–19. Almost every application uses a different cryptocurrency. Ethereum is the most popular platform followed by Hyperledger Fabric and Stellar. The development of a universal legislation as well as interoperability is a necessity for the wide adoption of smart contracts.

An Efficient and Secure Trading Framework for Shared Charging Service Based on Multiple Consortium Blockchains

While electric vehicles are proliferating rapidly, the number of charging piles is only 1/16 of the number of electric vehicles, showing big tension between small supply of public charging piles and intense charging demand of electric vehicles. To alleviate the tension, it is highly desired to incorporate existing idle private charging piles into a shared charging service. However, existing solutions do not well implement the system due to some non-negligible issues, like poor consensus performance or lack of verification for outputs from blockchain networks. In the paper, we propose an efficient and secure trading framework built atop multiple consortium blockchains. It devises a novel node voting mechanism so as to improve consensus efficiency. Meanwhile, it employs a publicly verifiable design based on the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$(t,n)$</tex-math></inline-formula> Boneh-Lynn-Shacham (BLS) threshold signature technique, so as to enable entities outside the blockchain to verify the consistency between the output results with the valid consensus. Besides these novel system-level designs, it also introduces a fair and robust trading strategy running by smart contracts on the platform. Furthermore, we implemented a proof-of-concept system and conducted extensive experiments. The results show that the overall latency across chains is reduced by about <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$26\%$</tex-math></inline-formula> with the node voting mechanism and the transactions fees are comparable to recent popular cross-chain applications.

Driving the Technology Value Stream by Analyzing App Reviews

An emerging feature of mobile application software is the need to quickly produce new versions to solve problems that emerged in previous versions. This helps adapt to changing user needs and preferences. In a continuous software development process, the user reviews collected by the apps themselves can play a crucial role to detect which components need to be reworked. This paper proposes a novel framework that enables software companies to drive their technology value stream based on the feedback (or reviews) provided by the end-users of an application. The proposed end-to-end framework exploits different Natural Language Processing (NLP) tasks to best understand the needs and goals of the end users. We also provide a thorough and in-depth analysis of the framework, the performance of each of the modules, and the overall contribution in driving the technology value stream. An analysis of reviews with sixteen popular Android Play Store applications from various genres over a long period of time provides encouraging evidence of the effectiveness of the proposed approach.

R 3 : Record-Replay-Retroaction for Database-Backed Applications

Developers would benefit greatly from time travel: being able to faithfully replay past executions and retroactively execute modified code on past events. Currently, replay and retroaction are impractical because they require expensively capturing fine-grained timing information to reproduce concurrent accesses to shared state. In this paper, we propose practical time travel for database-backed applications , an important class of distributed applications that access shared state through transactions. We present R 3 , a novel Record-Replay-Retroaction tool. R 3 implements a lightweight interceptor to record concurrency information for applications at transaction-level granularity, enabling replay and retroaction with minimal overhead. We address key challenges in both replay and retroaction. First, we design a novel algorithm for faithfully reproducing application requests running with snapshot isolation, allowing R 3 to support most production DBMSs. Second, we develop a retroactive execution mechanism that provides high fidelity with the original trace while supporting nearly arbitrary code modifications. We demonstrate how R 3 simplifies debugging for real, hard-to-reproduce concurrency bugs from popular open-source web applications. We evaluate R 3 using TPC-C and microservice workloads and show that R 3 always-on recording has a small performance overhead (&lt;25% for point queries but &lt;0.1% for complex transactions like in TPC-C) during normal application execution and that R 3 can retroactively execute bugfixed code over recorded traces within 0.11--0.78× of the original execution time.

Factorizing 2FA: Forensic analysis of two-factor authentication applications

Many sectors such as banking, academia, health care, and others have made Two-Factor Authentication (2FA) mandatory for all their registered users. The growth in the usage of 2FA technology demonstrates the need to understand how 2FA applications operate, the kind of information they store about their users, and the implications, if any, that may arise if malicious actors exploit them. Our work focuses on the forensic analysis of 15 2FA applications used by millions of people. Our analysis includes popular applications such as FreeOTP, Google Authenticator, Microsoft Authenticator, Twilio Authy, and more. The applications were tested on different operating systems (Android, iOS and Windows 10) and used with applications such as Facebook, Twitter and Instagram. Our methodology focused on not just forensically analyzing the devices’ storage, but also the network traffic of all devices and the memory of the Windows machine. Results revealed that the majority of analyzed applications store encrypted/encoded and plain text information, such as secret keys, timestamps, account names, e-mail addresses, the application locking pin, and more. Consequently, we believe that the critical discovery of secret keys allows for the 2FA functionally to be bypassed and it is demonstrated in this work. Our results revealed that 14 of 15 applications stored the name of the social media application/account information, and 14 of 15 applications stored either plain text, or encoded/encrypted secret keys. Finally, 2 of 15 applications stored a pin in plain text used to lock the application and/or encrypt all information on the disk.

The Performance of Differential Pressure (DP) and Inlet Temperature by Using Fabric Filter at Coal-Fired Power Station

This paper presents the performance of differential pressure (DP) and inlet temperature by using fabric filter at Coal-Fired Power Station. A fabric filter is one of eco-friendly methods that popular application in the industry to cater and filter the flue gas that contained fly ashes, that been produced by combustion of pulverized coal inside the boiler furnace. This study focuses on analyse the reading of differential pressure and inlet temperature and determining condition of fabric filter. The evaluation of this result is to maintain the differential pressure at 14 – 18 mbar and inlet temperature at 130 0C. The performance of the fabric filter will be analysed using the monitoring report performance based on daily walkdown inspection and calibration schedule report. Based on the report results prove that the performance of fabric filter is in satisfactory condition and met with DOE requirements, which the flue gas within in 30 minutes observation only contain 150mg/m3 of ash. The protection of the system ensures the fabric filter in optimum condition.

Analysis of LTE Network Quality of Service on Streaming Application

QoS (Quality of Service) measurement of LTE (Long Term Evolution) networks is carried out using the Telkomsel provider. Measurements were made in Perawang, Riau at night. QoS measurements are carried out at Perawang to evaluate and monitor network quality in accessing vidio streaming services provided by the Telkomsel network in the Perawang, Riau. Measurements were aimed at 5 streaming applications, namely YouTube, RCTI+, Online Radio, Twitch, and Vidio. The reason 5 applications are used for QoS measurement is that these applications are popular applications used in the category of Vidio streaming applications. Measurements were carried out for 160 seconds. The measurement results will be analyzed for quality based on the TIPHON standard. The results were obtained by calculating the data that has been obtained by Wireshark. The data will be calculated using the existing equations. Twitch is the only application that has a value of four in the QoS parameter index category and has a QoS value with an excellent index category. 4 other applications have a QoS value with a good index category. This is due to the low value of the throughput index category. Online Radio and Vidio applications have an index category value of 0. YouTube and RCTI+ applications have a throughput index category value of 1 and 2 respectively. For jitter, packet loss, and delay values, 5 streaming applications have an excellent index category with a value of 4. The measurement results that have been obtained would be displayed in the form of tables and graphs.

MENGEKSPLORASI PARADOKS PRIVASI GEN-Z DALAM PERSONALISASI IKLAN DI MEDIA DIGITAL

The practice of disclosing personal information in accessing digital media is inevitable. In digital transaction consumers are required to fill personal data in which quite risky, while the nature of social media facilitate user to willingly share their daily life. This condition leads to the discussion of personalization-privacy paradox that put digital media user in a dilemmatic position. In one hand, they enjoy the relevancy of personalized offerings otherwise they worry about the risk of disclosing information as the result digital media algorithm. This study is aimed to capture the personalizationprivacy paradox faced by the gen Z as the true digital natives using survey method. As the result of the study, personalization-privacy paradox is a real issue faced by respondents. They actively calculate the risk and benefit of sharing their information in digital platform. Moreover, they also tend to be less cautious towards popular digital application as they already consider it as a safe platform.

Mediating Health and Risk Information in WhatsApp and its Impact on Risk Perception and Risk Knowledge During COVID-19 Public Health Emergency

WhatsApp is India’s most popular social media application and has emerged as a valuable tool for health and risk communication during the COVID-19 public health emergency (PHE). Public health institutions,WHO and Government agencies used WhatsApp Health Alert to distribute verified, accurate and timely information during the COVID-19 pandemic. This study examines the potential of WhatsApp as a primary source of health and risk information and its impact on users’ risk knowledge and risk perception during the COVID-19 pandemic. We conducted a cross-sectional online survey among 453WhatsApp users in Tamil Nadu during the COVID-19 lockdown in May-August 2021. Most of the respondents used WhatsApp as the primary source of COVID-19 information than other media. COVID-19 information in WhatsApp had a positive and significant impact on users’ risk knowledge and risk perception. Regularly receiving and sharing COVID-19 information, subscribing to and participating in COVID-19-related group chats, and regularly updating WhatsApp statuses about COVID-19 were significant influencers of risk knowledge and risk perception. Future PHE response communication must build on these communication opportunities in WhatsApp rather than routed primarily to traditional methods.