Today's Smartphones Research Articles

“Risky or Trustworthy?”: User Behavior towards Biometric Authentication Method

Smartphones as a means of communication are not only used to send and receive messages and make phone calls. Today's smartphones are also intended to store personal data and sensitive information hence it is vulnerable to be illegally accessed by others. Fingerprint as a biometric lock screen for smartphones can be trusted to ensure the security and privacy of smartphone users. A fingerprint is closely related to a user's identity. When using fingerprints, users provide their personal biometric pattern, unknowingly giving their privacy and making them vulnerable to unauthorized use of their biometric pattern. This study is designed to reveal the factors that influence users when using fingerprints as a smartphone lock, using eight variables adapted from previous research. The data analysis used is Partial Least Squares (PLS) analysis. The results of this study suggest that trust, attitudes, and perceived risk are the factors that influence users when using their fingerprint as a smartphone lock.

ANALISA DAMPAK FINANCIAL TECHNOLOGY (FINTECH) TERHADAP KEBUTUHAN KAUM MILENIAL

The rise of online loan advertisements and the ease of accessing and processing loans certainly make them attractive for today's smartphone users. If an offer is given to a customer or client, of course, there is an agreed agreement, so this agreement has various impacts on online loan users. The research method used is qualitative research, using the Likert scale. The use of a sample size of 104 respondents refers to Gay and Diehl's sample size theory in Anwar Sanusi (2012) which states that the minimum number of samples that must be taken is 30 samples. It is hoped that the results of this research will have an impact on the needs, causes, and factors of millennials making online loans on the University in Purwakarta campus.

Analysis Of The Influence Of Product Quality, Lifestyle And Promotional Strategy On The Decision To Purchase Samsung Smartphone Products

Today's smartphones are not just a means to fulfill communication needs; they have now become part of the user's lifestyle. Currently, almost every activity and time is spent using a smartphone, such as working, playing, socializing, or carrying out other daily activities. This study intends to examine how lifestyle, marketing, and product quality affect consumers' purchase choices. The basic data used in this study was collected from questionnaires. Using the judgment sampling method, a total of 100 respondents made up the sample. The method of data analysis employs numerous linear regressions. The findings of the study demonstrate that lifestyle significantly affects purchase choices. The high level of lifestyle can be used to explain this influence. Purchase decisions are significantly influenced by promotions. The effect of the significant amount of promotion of 0.000 can be explained. Purchase decisions are significantly influenced by product quality. The impact of the significant degree of product quality of 0.06 can be discussed. The combination of lifestyle, incentives, and product quality has a big impact on buying choices. The substantial level of lifestyle, promotion, and product quality can be used to explain this influence.

GPS based Identification System using Microcontroller

Abstract: Now a days, we often rely on GPS for Navigations. Every Smartphone today has inbuilt GPS but the Navigation is not always accurate. Hence we bring the cheaper version for Vehicle Tracking System using Microcontroller and GPS. In this Paper, we will discuss about the Construction, Working and Testing of the GPS based Identification System. Through the help of Satellites, the GPS Module receives the Coordinates (Latitudes and Longitudes), then, the microcontroller processes the data and further sends it to the GSM Modem. Then the GSM modem sends it to the Owner through his Smartphone.

The software requirements process for designing a microcontroller-based voice-controlled system

Smartphones of today are capable of controlling motors, music systems, and lighting. This project's objective is to construct a robot car for the elderly and disabled that is based on the Arduino platform. Voice instructions can be used to wirelessly control the robotic car that the user is riding. The robot is able to move to the left and right, as well as forward and backward, and it can also stop. The voice-controlled robot vehicle built using Arduino and operated by an HC-05 module is connected to Bluetooth. The exact spoken commands are sent to the robot through the phone via an application that runs on android. The Arduino, which is in charge of controlling the robotic automobile, gets commands through a Bluetooth transceiver module, which then relays them to the Arduino. The hardware consists of an android phone, an android-powered motor drive, an Arduino, and Bluetooth. This system was developed with the help of Arduino C and the android-meets-robot framework. The primary goals of this piece of writing are to gain an understanding of how to create the criteria for a voice-controlled system that is based on Arduino.

The Impact Of Smartphone Technology On Behavior Of Parents For Aged 40-50 Years

Good parents' behavior indicates the existence of a personality life from a daily mindset that always leads to positive things, positive behavior from parents can have a very big impact on the survival of family life and social life.In modern times there are many deviations in behavior carried out by people.This times allegedly caused by advances in communication technology, one of which is smartphone technology. It is less able to use the applications contained in Smartphone today such as fb, browsing, listening to music, video players, games, allegedly very influential on the behavior of parents today. That is why the writer feels important to conduct research with the title "The Effect of Smartphone Technology on the Behavior of Parents aged 40-50 years. Study qualitative methods uses, using a qualitative approach, to explore and describe how much influence smartphone technology on parental behavior. Which is 40-50 years old.The results of this study indicate that smartphone technology can have a significant impact on the behavior of people in Tuminting District, both behaviors that lead to positive things and behaviors that lead to negative things.

APLIKASI E-TICKET BERBASIS ANDROID PADA BUMDES DESA SUMBERMULYO

The development of technology is growing rapidly nowadays, one of them is an mobile system that widely used to facilitate all affairs from all fields that can change people's behavior towards the digital era, so that society is greatly facilitated in all aspects, e-tickets are one of the system developments. information that is currently widely used on various platforms such as smartphones and computers, android is an OS that has many advantages and lots of features to make it easier for us to do various jobs, one of which is selling tickets using android for ticket sales so that ticket sales work more efficiently. today's smartphone is not only a means of communication, but smart phones have many uses, including for business, games, payments, etc. With the development of science and technology, people's lifestyles have been like culture, economy, society, and education, So this research we use android to be able to run the e-ticket application using a Bluetooth printer to make it more efficient place and time for data management which later this application is made with a hybrid mobile application with fremwork7 to connect to our database using API and MySQL.

Bricked by Age: Manufacturers Should Supply the Software to Keep Things Working Indefinitely

I recently did some Marie Kondo–inspired housecleaning: Anything that didn't bring me joy got binned. In the process, I unearthed some old gadgets that made me smile. One was my venerable Nokia N95, a proto-smartphone, the first to sport GPS. Another was a craptastic Android tablet—a relic of an era when each year I would purchase the best tablet I could for less than $100 (Australian!), just to see how much you could get for that little. And there was my beloved Sony PlayStation Portable. While I rarely used it, I loved what the PSP represented: a high-powered handheld device, another forerunner of today's smartphone, though one designed for gaming rather than talking.

Can You See It?

Today's smartphones and wearable devices come equipped with an array of inertial sensors, along with IMU-based Human Activity Recognition models to monitor everyday activities. However, such models rely on large amounts of annotated training data, which require considerable time and effort for collection. One has to recruit human subjects, define clear protocols for the subjects to follow, and manually annotate the collected data, along with the administrative work that goes into organizing such a recording.

Toward New Forms of Particle Sensing and Manipulation and 3D Imaging on a Smartphone for Healthcare Applications

Close to half of the world population have smartphones, while a flagship smartphone today has been integrated with more than 20 smart components and sensors, making a smartphone a highly integrated platform that can potentially mimic the five senses of humans. Recent advancement in achieving high compactness, high performance computing, high flexibility, and multiplexed functionality in smartphones have enabled them for many cutting‐edge healthcare applications, such as single‐molecule imaging, medical diagnosis, and biosensing, which were conventionally done with bulky devices. Herein, recent advances in sensors in modern smartphones are reviewed and how they can potentially offer widespread and easy‐to‐implement solutions to emerging healthcare applications, including biosensing, point‐of‐care testing, pollution monitoring, etc., are discussed.

Efektivitas Pemakaian Aplikasi Katakana Memory Hint Dalam Mata Kuliah Shokyuu Moji Goi Zenhan

This research is about the effectiveness of an Android application called the Katakana Memory Hint in learning Japanese letters during the Shokyuu Moji Goi Zenhan course. The course is taken by first-year students of the Japanese Language Education Study Program of Universitas Negeri Padang. This research focuses on one of the Japanese characters, the Katakana letters, because they are difficult to understand. For basic level learners, of course, they need media to help make it easier to learn the Katakana letters. Due to the rapid development of today's smartphone technology, Android applications have become a medium to help the learning process especially Japanese. This research is done to find out the advantages of an Android application called the Katakana Memory Hint designed by the Japan Foundation. This research applied the experimental method. The respondents were first-year students of the Japanese Language Education Study Program of Universitas Negeri Padang with the number of research sample of 30 people. The research findings show that the application is, as a matter of fact, effective in helping students to read and write the Katakana letters.

Implementation of Turbo Boyer Moore Algorithm for Hijab Online Shop Application

Hijab is an obligation for Muslim women to cover their genitals. Hijab itself is now not only used by adult women or casual people, but has also penetrated teenagers including female students. The development of online shops or commonly referred to as olshop through internet media has mushroomed in Indonesia, and is even well known by the general public. Today's smartphones have developed and are in great demand by the public because of the various features that appeal to the user community. The hijab buying and selling system using an Android-based mobile application is a hijab sale and purchase that can be done easily to provide accurate information to potential consumers, but due to the large number of hijab products being sold, it can make finding information on a hijab product desired by potential consumers difficult to obtain. quickly and precisely. To solve the above problems, the authors designed the hijab online shop application using one of the editors for android programming, namely, Eclipse Juno. The string matching algorithm is used to simplify the process of searching for information on a particular hijab product in the application designed by the author to apply the Moore Turbo Boyer algorithm

Novel Temperature-Compensated, Silicon SAW Design for Filter Integration

Today's phones have as many as 60 front-end radios covering multiple frequency bands. For each frequency band, acoustic filters offer high-Q, good power handling, and linearity in a very small package. These properties are crucial when addressing the “explosion” in the number of radios and the filters needed by today's Smart Phones. Moving forward, filter integration will become essential for cost and size. A novel lithium tantalate (LT) bonded to silicon hybrid substrate silicon SAW (SiSAW) was developed that provides temperature compensation, good power handling properties, while mostly eliminating spurious modes created between the LT/Si interface. One of several advantages of this technique is that one can integrate as many filters as needed onto one die. This provides for cost savings as well as area savings while reproducing the inherent performance of high-quality temperature compensated (TC)-surface acoustic waves (TC-SAWs).

NILAI IKLAN DAN NIAT PEMBELIAN DI ATAS TALIAN DI YOUTUBE

The existence of the Internet causes social media platforms such as blogs, Facebook, Twitter, Instagram and YouTube increasingly developing and booming, especially with the availability of today's smartphone progress. Smartphones mobile data usage allows individuals to be able to quickly access a search via social media even wherever they are. Duet to this potential, social media has become an integral part of the important thing for companies nowadays to connect with target audiences and organize effective strategies to attract their attention. At the same time, social media is becoming a place where online advertising is used. So much undeniably that most of the profits for apps and social media websites mostly come from the ad sector. The existence of this digital platform makes the targeters so sensitive to research on advertisement effectiveness to enable them to determine the most effective and appropriate communication medium for placing their ads. The value of advertising was found significantly more dependent on ad entertainment, ad descriptions provided, lack of irritation in advertisements, and ad credibility. Besides, price factors, trust values and service quality are also online capable of influencing consumer purchase intentions. In that respect, this paper is dedicated to discussing the value of advertisements, pricing factors, trust values and quality of service also online and the intention of online purchases on YouTube.
 
 Keywords : Value of Advertisements, Intention of Online Purchases, Social Media, YouTube

Fa'aliyyatut Ta'limiyyah 'Abru Al-Intirnit Bisti'mali Tathbiqi Al-Watsab Wa Al-Yutube 'Ala Ta'limi Qawa'idi Al-Lughatu Al-'Arabiyyati Laday Al-Thullab Kulliyyatu Al-Iqtishad Wa Al-A'mali Al-Islamiyyati Jaami'atu Tulung Agung Al-Islamiyyah Al-Hukumiyyah

Along with the development of information technology, Arabic language learning as part of the national education process is required to continue to update the methodology, improvement of teaching materials materials, improvement of educational facilities and infrastructure including learning media and improving the quality of human resources of teachers in order to be professional, innovative, and competitive or competitive.This research is motivated by the importance of learning Arabic rules to be studied even in the midst of this covid-19 condition. Arabic rules really need to be applied in learning Arabic because they determine the position / tarkib sentence and many levels difficulty. Since this covid-19 virus hit Indonesia, it is required to be social distancing and independent quarantine for all people in their respective places of residence at that time. This also has an impact on the process of teaching and learning activities in various institutions, both elementary, junior high, high school and university. All are lockdowns. One way to keep learning going is through online learning. Certainly has many advantages and disadvantages felt by everyone. Applications that are easy to use for this online learning process are WhatsApp and YouTube. Due to every smartphone today must have installed these two applications.

Transitional Phones

Transitional fossils are the ones that exhibit intermediate states between an ancestral form and its descendants. This concept can be applied to technology, for instance, mobile devices. The first phones with primitive Internet capability were transitional between voice-only phones and the smartphones of today.

A First Look at Privacy Analysis of COVID-19 Contact-Tracing Mobile Applications.

Today’s smartphones are equipped with a large number of powerful value-added sensors and features, such as a low-power Bluetooth sensor, powerful embedded sensors, such as the digital compass, accelerometer, GPS sensors, Wi-Fi capabilities, microphone, humidity sensors, health tracking sensors, and a camera, etc. These value-added sensors have revolutionized the lives of the human being in many ways, such as tracking the health of the patients and the movement of doctors, tracking employees movement in large manufacturing units, monitoring the environment, etc. These embedded sensors could also be used for large-scale personal, group, and community sensing applications especially tracing the spread of certain diseases. Governments and regulators are turning to use these features to trace the people’s thoughts to have symptoms of certain diseases or viruses, e.g., COVID-19. The outbreak of COVID-19 in December 2019, has seen a surge of the mobile applications for tracing, tracking, and isolating the persons showing COVID-19 symptoms to limit the spread of the disease to the larger community. The use of embedded sensors could disclose private information of the users, thus potentially bring a threat to the privacy and security of users. In this article, we analyzed a large set of smartphone applications that have been designed to contain the spread of the COVID-19 virus and bring the people back to normal life. Specifically, we have analyzed what type of permission these smartphone apps require, whether these permissions are necessary for the track and trace, how data from the user devices are transported to the analytic center, and analyzing the security measures these apps have deployed to ensure the privacy and security of users.

Towards Low-Cost, Ubiquitous High-Time Resolution Sensing for Terrestrial Spectrum

Spectrum utilization has become increasingly fragmented and diverse, with millions of devices supporting multiple protocols and use cases. A smartphone today uses LTE, Bluetooth, and Wi-Fi simultaneously, spanning multiple GHz of spectrum. In such an environment, comprehensive knowledge of spectrum usage can help in ushering in better networked system design, unified control, and provide new ways of understanding cyber-physical interactions. A versatile spectrum sensor that can monitor all utilized bands quickly and at low cost is a crucial enabler for such applications. Such a sensor is difficult to realize due to the vast size of the terrestrial spectrum and the necessity to keep up with fleeting wireless communication signals in innumerable bands. Additionally, it needs to be inexpensive and suitable for mass deployment. We introduce a new paradigm, in which the spectrum sensor can "sweep" over a wide band of spectrum quickly and extract useful information, such as occupancy and protocol type. The system, dubbed SweepSense, is prototyped on inexpensive hardware and opens up opportunities for new applications that were previously intractable, even with expensive solutions.

Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices

Despite the growing market penetration, today's high-end virtual reality (VR) systems remain tethered, which not only limits users' VR experience but also creates a safety hazard. In this paper, we perform a systematic design study of the “elephant in the room” facing the VR industry - is it feasible to enable high-quality VR apps on untethered mobile devices such as smartphones? Our quantitative, performance-driven design study makes two contributions. First, we show that the QoE achievable for high-quality VR applications on today's mobile hardware and wireless networks via local rendering or offloading is about 10X away from the acceptable QoE, yet waiting for future mobile hardware or next-generation wireless networks (e.g., 5G) is unlikely to help, because of power limitation and the higher CPU utilization needed for processing packets under higher data rate. Second, we present Furion, a VR framework that enables high-quality, immersive mobile VR on today's mobile devices and wireless networks. Furion exploits a key insight about the VR workload that foreground interactions and background environment have contrasting predictability and rendering workload, and employs a split renderer architecture running on both the phone and the server. Supplemented with video compression, use of panoramic frames, parallel decoding on multiple cores on the phone, and view-based bitrate adaptation we demonstrate Furion can support high-quality VR apps on today's smartphones over WiFi, with under 14 ms latency and 60 FPS (the phone display refresh rate).

Scalable Power Impact Prediction of Mobile Sensing Applications at Pre-Installation Time

Today's smartphone application (hereinafter ‘app’) markets do not provide information on power consumption of apps, which is essential for users. Continuous sensing apps make this problem more severe because significant power is consumed without the users’ awareness. We propose PowerForecaster to break through such an exhaustive cycle. It provides users with personalized estimation of sensing apps' power cost at pre-installation time. It is challenging to provide such estimation in advance because the actual power cost of a sensing app varies depending on user behavior such as physical activities and phone use patterns. To address this, we develop a novel power emulator as a core component of PowerForecaster. It achieves accurate, personalized power estimation by reproducing users' behaviors and emulating the target app's power use. We optimize the system to make the power emulation fast and its trace collection energy efficient. We further address the problem of dealing with large-scale emulation requests from worldwide deployment. We develop a novel selective emulation approach to minimize the server-side resource cost. We performed extensive experiments and the experimental results show that PowerForecaster achieves the power estimation accuracy of 93.4 percent and saves on 60 percent of the emulator instance usage.