Number Of Smartphone Users Research Articles

Commercial Smartphone-Based Devices and Smart Applications for Personalized Healthcare Monitoring and Management.

Smartphone-based devices and applications (SBDAs) with cost effectiveness and remote sensing are the most promising and effective means of delivering mobile healthcare (mHealthcare). Several SBDAs have been commercialized for the personalized monitoring and/or management of basic physiological parameters, such as blood pressure, weight, body analysis, pulse rate, electrocardiograph, blood glucose, blood glucose saturation, sleeping and physical activity. With advances in Bluetooth technology, software, cloud computing and remote sensing, SBDAs provide real-time on-site analysis and telemedicine opportunities in remote areas. This scenario is of utmost importance for developing countries, where the number of smartphone users is about 70% of 6.8 billion cell phone subscribers worldwide with limited access to basic healthcare service. The technology platform facilitates patient-doctor communication and the patients to effectively manage and keep track of their medical conditions. Besides tremendous healthcare cost savings, SBDAs are very critical for the monitoring and effective management of emerging epidemics and food contamination outbreaks. The next decade will witness pioneering advances and increasing applications of SBDAs in this exponentially growing field of mHealthcare. This article provides a critical review of commercial SBDAs that are being widely used for personalized healthcare monitoring and management.

모바일 앱 재사용성 측정을 위한 메트릭 개발

Abstract As the number of smart phone users is increasing exponentially, the scale of the future mobile market is expected to be very large. Many mobile applications are developing according to this growth trend. On the other hand,there has been little verification of the quality, such as the reusability or extensibility of the developed mobile applications. In particular, many users have expressed their dissatisfaction in the case of pay mobile applications. Therefore, developed to measure the quality of mobile applications in developing mobile applications. Overall, thedegree of user satisfaction can be improved by realizing the quality verification of mobile applications by applying the proposed metrics. Key Words : Mobile Application., Reusability, Extensibility, Quality Verification 본 논문은 2013년 서일대학교 교내연구과제로 수행되었음. * Corresponding Author : Chul-Jin Kim(Inha Technical College)Tel: +82-32-870-2338 email: cjkim@inhatc.ac.krReceived April 14, 2014 Revised June 11, 2014 Accepted July 10, 2014

모바일 환경에서 스마트 홈 프로비저닝 시스템 OWL 모델링

오늘날 스마트폰의 다양성과 성능의 발전은 스마트폰 사용자 수를 급증하게 하였으며, 다시 모바일 네트워크 및 디바이스의 발전으로 스마트폰 보급을 확산시켰다. 현재 모바일 환경으로 다양한 서비스가 제공되고 있으며 특히 스마트 홈에 대한 관심이 증가하고 있다. 그러나 지금까지의 연구는 사용자 중심의 서비스를 구현하기에 부적합하므로 본 논문에서는 사용자의 상황을 파악하여 사용자 중심의 서비스를 제공해 주는 스마트 홈 프로비저닝 시스템 OWL 모델링을 제안한다. Today, the development and performance of a variety of smart phones is increasing with the number of smart phone users were. Advances in mobile networks and devices are spread smart phones. Smart home was increasing the interest. But until now, the study of user-centric services that the service was not implemented. Therefore, in this paper, the situation of the user, the user-centric service model that provides a smart home provisioning system OWL modeling is proposed.

English

Spyware is an unwanted software that steals bank account details and other confidential information and sends back to the attacker from where the spyware originated. The attacker makes use of this information to send spam messages according to the location of the user. They can also cause a financial loss to the user. The spyware attack on Smartphone has increased with the drastic increase in the number of Smartphone users. Smartphone is widely used all over the world for communication, banking transactions and for many other purposes. These phones have lots of functionality to support user's demand and this is one of the main reasons which make it difficult to detect the spyware. There are different types of techniques available to detect the spyware. The different techniques are signature based, behavioral based and data mining based. In this paper, pros and cons of each technique have been discussed. Keyword-Smartphone, Spyware.

모바일 SNS 사용이 30~40대 기혼여성의 대인관계 강화와 자존감에 미치는 영향: 사용촉진 요인을 중심으로

The center of networking is moving toward mobile from PC based computing environment. The number of smartphone users are increasing rapidly today. One of the most popular smart phone applications is mobile SNS such as Kakao Story, Facebook, Twitter, Mobile Cyworld, etc. Mobile SNS means social network services based on mobile communication technology. This research focused on mobile SNS usage of married women who have not enough time for face-to-face communication with their friends to enhance their friendship. Married women in their 30s and 40s have lots of things to do like housework and caring their children. Mobile SNS would help their communication in aspect such of free of space and time. Through Mobile SNS married women can reinforce their personal relationship and self-esteem. Social Information Processing Theory (SIP) is an interpersonal communication theory developed by Walther(1992). Once established, online personal relationships may demonstrate the same relational dimensions and qualities as face-to-face relationships. The theory explains how people get to know one another online, without nonverbal cues, and how they develop and manage relationships in the computer-mediated environment. The result of empirical analysis indicates that marred women``s Mobile SNS activities reinforce their personal relationship and self-esteem.

P48 An evaluation to understand the use of technology within a COPD population

Introduction and ObjectivesThere is a desire to employ technology to support patients with long term conditions. However there is little data available that describes familiarity with technology in the COPD...

A smartphone-based online social network trust evaluation system

The number of smartphone users has increased significantly over the last decade. The number of people using social networking sites is also increasing, and these platforms offer many features through which individuals can communicate with their contacts. The digital sphere is an opportunity for communication, but it is also an unprecedented arena for malicious attacks. The high quantity of personal and/or sensitive data, coupled with the large number of users, is one of the main motivations of malicious actors. We introduce in this paper a novel trust indicator for evaluating the contacts of an online social network user. This analysis is particularly important since the security policy of online social networks rests on the principle that a user’s contact is a person of trust. This assumption, not always verified as true, gives any number of people access to personal information. To address this problem, we propose applying a multi-layer model and extend it by proposing overlapping features that highlight the level of overlap of a contact belonging to the set of social networking friends of a smartphone user. We prove the efficiency of these features in evaluating trust using a case study with Facebook and Twitter.

Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data

As the number of smartphone users has grown recently, many context-aware services have been studied and launched. Activity recognition becomes one of the important issues for user adaptive services on the mobile phones. Even though many researchers have attempted to recognize a user's activities on a mobile device, it is still difficult to infer human activities from uncertain, incomplete and insufficient mobile sensor data. We present a method to recognize a person's activities from sensors in a mobile phone using mixture-of-experts (ME) model. In order to train the ME model, we have applied global–local co-training (GLCT) algorithm with both labeled and unlabeled data to improve the performance. The GLCT is a variation of co-training that uses a global model and a local model together. To evaluate the usefulness of the proposed method, we have conducted experiments using real datasets collected from Google Android smartphones. This paper is a revised and extended version of a paper that was presented at HAIS 2011.

A systematic review of healthcare applications for smartphones.

BackgroundAdvanced mobile communications and portable computation are now combined in handheld devices called “smartphones”, which are also capable of running third-party software. The number of smartphone users is growing rapidly, including among healthcare professionals. The purpose of this study was to classify smartphone-based healthcare technologies as discussed in academic literature according to their functionalities, and summarize articles in each category.MethodsIn April 2011, MEDLINE was searched to identify articles that discussed the design, development, evaluation, or use of smartphone-based software for healthcare professionals, medical or nursing students, or patients. A total of 55 articles discussing 83 applications were selected for this study from 2,894 articles initially obtained from the MEDLINE searches.ResultsA total of 83 applications were documented: 57 applications for healthcare professionals focusing on disease diagnosis (21), drug reference (6), medical calculators (8), literature search (6), clinical communication (3), Hospital Information System (HIS) client applications (4), medical training (2) and general healthcare applications (7); 11 applications for medical or nursing students focusing on medical education; and 15 applications for patients focusing on disease management with chronic illness (6), ENT-related (4), fall-related (3), and two other conditions (2). The disease diagnosis, drug reference, and medical calculator applications were reported as most useful by healthcare professionals and medical or nursing students.ConclusionsMany medical applications for smartphones have been developed and widely used by health professionals and patients. The use of smartphones is getting more attention in healthcare day by day. Medical applications make smartphones useful tools in the practice of evidence-based medicine at the point of care, in addition to their use in mobile clinical communication. Also, smartphones can play a very important role in patient education, disease self-management, and remote monitoring of patients.

Analysis and Evaluation of ELT Smartphone Applications

The number of smartphone users has been sharply increasing every year and mobile learning content providers have released numerous educational smartphone applications (apps) including those for English language teaching (ELT) in a very short time. Though, integrated evaluation criteria for mobile-assisted language learning (MALL) content has been non-existent. In this research, the trends of ELT apps were summarized by examining a hundred ELT apps. Also, five representative apps among these were thoroughly analyzed and carefully evaluated according to a set of evaluation criteria. The results of the examination of the apps and an in-depth evaluation of five of the apps showed that existing ELT apps focused mostly on teaching vocabulary, that they should be more accessible to users of different smartphones, and that at least one or two activities should be contained in an ELT app to help learners recycle content. These implications not only report the current trends of ELT, apps but also provide a new direction for developing mobile learning content.

Context-Aware Security System for the Smart Phone-based M2M Service Environment

The number of smart phone users is rapidly growing due to recent increase in wireless Internet usage, development of a wide variety of applications, and activation of M2M (Machine to machine) services. Although the smart phone offers benefits of mobility and convenience, it also has serious security problems. To utilize M2M services in the smart phone, a flexible integrated authentication and access control facility is an essential requirement. To solve these problems, we propose a context-aware single sign-on and access control system that uses context-awareness, integrated authentication, access control, and an OSGi service platform in the smart phone environment. In addition, we recommend Fuzzy Logic and MAUT (Multi-Attribute Utility Theory) in handling diverse contexts properly as well as in determining the appropriate security level. We also propose a security system whose properties are flexible and convenient through a typical scenario in the smart phone environment. The proposed context-aware security system can provide a flexible, secure and seamless security service by adopting diverse contexts in the smart phone environment.

기업의 소셜미디어 활용방안에 대한 연구 : 트위터를 중심으로

As the number of smart phone users increases, many organizations begin to adopt social media rapidly to diversify communication channels with customers. Specifically, twitter, which supports instant and two-way communications between users and between organizations and users, has been adopted by many organizations as an efficient way not only to identify new customers but also to retain existing customers. However, little attention has been given to the issue on how organizations can effectively use twitter to improve customer satisfaction. To explore the issue, this study proposes two major dimensions, customer participation and organization resource utilization, which should be considered in building a utilization strategy for twitter in organizations. We then develop four different combinations along with these dimensions-follow, mention, retweet, and review types. Based on case studies of 27 organizations that use twitter, we evaluate the degrees of customer participation, resource utilization, and customer satisfaction, and examine matching or mismatching of the adoption purpose of twitter and its actual utilization. The study results reveal that organizations in the matching group show higher customer satisfaction that those in the mismatching group. This study sheds new light on twitter research by developing a new conceptual framework and using a case study approach to explore the relationship between the utilization strategy of twitter and customer satisfaction.

Effective Evaluation about the Antivirus Solution for Smart Phone

Smartphone has formed a new market and introduced a new environment. They have an operating system like PCs, enabling free installation and removal of application programs. As the number of Smartphone users is increasing, more personal information is also exposed to malicious codes. There are problem of modification and deletion of files, battery consumption, and information leakage due to malicious codes. As the needs of Smartphone antivirus solutions are increasing, the antivirus solutions should be evaluated with quality characteristics. In this paper, we propose an effective evaluation method for functionality and performance of Smartphone antivirus solutions, and the best practices for evaluation.

모바일 애플리케이션의 품질이 사용자 만족과 애플리케이션 지불의도에 미치는 영향

The increase in the number of smartphone users has recently been steep, which started to offer companies and individuals more opportunities to enter into a new business field. Furthermore, the smartphone applications have become one of the hottest topics inside and outside the mobile industry. Still the market is in its infancy and intention to pay of charged application of most smartphone users is relatively low. However, rate of charged application in appstore is expected to be increase steadily for some years to come. In this perspective, it is important to consider the smartphone mobile application. Research on smartphone application is still in its early stage. Thus, the purpose of this study is to find what are the effective factors on user satisfaction and intention to pay of mobile application. Based on information system success model, we proposed system quality(stability, usability, security), information quality(timeliness, accuracy, enjoyment) and service quality(reactivity, reliability, empathy) as factors to effect on user satisfaction in mobile application. The results showed that stability, usability, timeliness, accuracy, enjoyment, reactivity and empathy affected significantly user satisfaction. The relationship among satisfaction and intention to pay of mobile application was significantly supported. The implications of the findings is that firms and individual developers of mobile application should focus on customer retention through enhancing satisfaction and quality.

가상기준점 기반 코드신호를 이용한 정밀 측위

스마트폰 사용자의 증가와 함께 다양한 응용분야에서 정밀한 3차원 위치정보가 요구되고 있다. 단일 주파수 민간용 코드 자료를 이용한 위치결정 정확도는 10m 내외이지만, 향후 스마트폰 응용프로그램은 서브미터 수준의 위치정확도를 안정적으로 확보할 필요가 있다. 따라서 일반적인 절대측위 대신 가상기준점을 기반으로 하는 상대측위 방식을 적용하였으며, 면보정계수를 이용하여 이중차분 오차를 보정하였다. 가상기준점은 로버 가까운 지점에 설정하고, 주 기준점 관측자료를 바탕으로 기하학적인 거리를 반영하였다. 이중차분으로 제거되지 않은 오차는 일반적으로 기선거리와 비례하므로, 로버 외부의 상시관측소 네트워크를 평면에 접합하여 면보정계수를 추정하였다. 이중차분 오차를 보정한 가상기준점과 로버의 24시간 C/A 코드 자료를 이용한 로버의 위치측정 결과 위도, 경도방향의 평균제곱근(RMS) 오차가 각각 37cm, 28cm 였으며, 높이 방향의 오차는 76cm 수준이었다. 또한 평면좌표의 성분별 오차는 전체의 약 90%에서 <TEX>${\pm}0.5m$</TEX> 이내의 결과를 보였으며, 특히 네트워크 기반의 오차모델링을 통해 평면좌표의 바이어스가 2-3cm 수준으로 크게 향상되었다. 따라서 가상기준점과 이중차분 오차모델링을 통해 단일 주파수코드 자료로부터 안정적인 서브미터 정확도의 위치결정이 가능하다. With the increase in the number of smartphone users, precise 3D positional information is required by various applications. The positioning accuracy using civilian single-frequency pseudoranges is at the level of 10 m or so, but most applications these days are asking for a sub-meter level Therefore, instead of an absolute positioning technique, the VRS-based differential approach is applied along with the correction of the double-differenced (DD) residual errors using FKP (Flachen-Korrektur-Parameter). The VRS (Virual Reference Station) is located close to the rover, and the measurements are generated by correcting the geometrical distance to those of the master reference station. Since the unmodeled errors are generally proportional to the length of the baselines, the correction parameters are estimated by fitting a plane to the DD pseudorange errors of the CORS network. The DD positioning accuracy using 24 hours of C/A code measurements provides the RMS errors of 37 cm, 28 cm for latitudinal and longitudinal direction, respectively, and 76 cm for height. The accuracy of the horizontal components is within <TEX>${\pm}0.5m$</TEX> for about 90% of total epochs, and in particular the biases are significantly decreased to the level of 2-3 cm due to the network-based error modeling. Consequently, it is possible to consistently achieve a sub-meter level accuracy from the single-frequency pseudoranges using the VRS and double-differenced error modeling.

Wireless LAN Access Point Placement Based on User Mobility

In a wide area campus, a university provides Wireless Local Area Network (WLAN) for users to connect to the Internet. Most users take advantage of this WLAN benefit by using their laptops. However, the number of smart phone users is growing fast. Since a smart phone is able to get an Internet connection using WLAN, users can use their smart phones without having to pay for a cellular operator. Users tend to use their smart phones more, due to their higher mobility compared to a laptop. This capability enables new services in the market, such as Fixed-Mobile Convergence (FMC), which integrates a fixed network (traditional telephony, WLAN) and a mobile network (cellular) to provide seamless voice communications anytime, anywhere. These new applications require a WLAN connection availability nearly everywhere. However, due to limited budgets, a university can only install APs in places with a high connection demand. We propose a novel WLAN AP placement technique that takes user mobility into consideration. This new approach is more complete than previous approaches, which mainly focus on coverage area and throughput data. Our technique has been implemented in our university. The results show the suitability of the WLAN access point locations in our university campus based on user mobility and activities.