If your smartphone has a GPS, your provider knows exactly where you are and where you have been as well as who you have contacted. In addition, tracking software which logs where you have been and what you did has been previously found on Apple's iPhone and just recently, Carrier IQ tracking software has been acknowledged to be on over 150 million smartphones. If this is combined with a recent government directive that no warrant is needed to access this information, then if you have a smartphone, you really have zero privacy.
non-peer-reviewed ; It is widely acknowledged that transitions towards a circular economy (CE) are based on the complementary development of circular business models and design strategies. One strategy to enhance the lifetime of products is modular design. Concepts for modular product designs have been around for a long time, but it was only with the rise of the CE debate that they have been linked to more sustainable consumption patterns. Much research on modular designs has focused on smartphones, as they are considered to be a suitable product to make use of the advantages derived from modular designs. Still, there currently is little research that looks at how modular design strategies fit into people's existing daily practices and media ensembles let alone the competences and knowledge needed to do so. This paper presents new empirical evidence gathered through in-depth interviews with people about their daily practices with their smartphone and modular design strategies. We discuss opportunities for modular smartphone designs and related product service systems. Our results show that issues of convenience and optimisation play a key role when establishing domestic media ensembles in people's daily lives where the reliability and ease of use of people's smartphones are crucial. These meaning present challenges for an integration of modular smartphones into everyday lives. Modular strategies as part of transitions towards CE cannot be enabled through products and services alone but would need complimentary political regulation and standardisation to support these developments.
Part 3: Mobile Device Forensics ; International audience ; Humans tend to use specific words to express their emotional states in written and oral communications. Scientists in the area of text mining and natural language processing have studied sentiment fingerprints residing in text to extract the emotional polarity of customers for a product or to evaluate the popularity of politicians. Recent research focused on micro-blogging has found notable similarities between Twitter feeds and SMS (short message service) text messages. This paper investigates the common characteristics of both formats for sentiment analysis purposes and verifies the correctness of the similarity assumption. A lexicon-based approach is used to extract and compute the sentiment scores of SMS messages found on smartphones. The data is presented along a timeline that depicts a sender's emotional fingerprint. This form of analysis and visualization can enrich a forensic investigation by conveying potential psychological patterns from text messages.
Human behaviour analysis through smartphone devices has been an active field for more than a decade and there are still a lot of key aspects to be addressed. This paper surveys the state-of-the-art in human behaviour analysis based on smartphones. We categorise prior works into four main sensing modalities related to physical, cognitive, emotional and social behaviour. Finally, we conclude with the outcomes of this survey and we illustrate our ideas for future research in the area of human behaviour understanding. ; This work has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement #769553. This result only reflects the author's view and the EU is not responsible for any use that may be made of the information it contains. This work has also been supported by the Dutch UT-CTIT project HoliBehave and in collaboration with the research project "Progress in Computer Architectures for Automatic Learning using Heterogeneous Sources: Health and Well-Being Applications" (TIN2015-71873-R).
Using the smartphones is very important for everyone, not only limited to adults but also children. Given the current conditions that are currently in a period of a pandemic, the government calls for a learning process from home. Likewise, adults who work from home to reduce the impact of covid transmission 19. All government policies that require people to work or study from home inevitably make most people have to use smartphones to work or to carry out the learning process. This makes people not separated from smartphones and certainly will have a serious impact on the lives of individuals, especially children, which can lead to smartphone addiction (smartphone addiction). Smartphone addiction is a smartphone attachment behavior accompanied by a lack of control and harms the individual. Children who have the task of developing learning while playing at their age, are currently losing playing time, and are only busy with smartphones to do their playing activities because from smartphones there are many interesting things or content that can make children feel at home and take a long look at the spectacle on their smartphone Keywords: Smartphone addiction, family, parents.
Mestrado em Engenharia Electrónica e de Telecomunicações ; Attendance control systems are associated with labour legislation for the protection of employees and employers. School attendances' issues may be directly connected to academic achievements at the same time it is di cult to control by children's parents. To solve these problems, there are several systems available and the di erence between them is essentially the technology adopted to make them work. Nowadays, mobile equipment market has a great diversity with smartphone equipments having the highest demands and high growth rates. Due to the huge capacities of their operating systems and hardware, smartphones have now the possibility to be used as part of an attendance control system. In this dissertation, it is developed an attendance control system based on smarphone and virtual doors composed of two Access Points (APs). This system has the advantage of being inexpensive and, since the application runs in the background of the operating system, attendance detection becomes a fully automatic process. Moreover, since a smartphone is a personal equipment which is hardly shared with other person, attempts to defraud the control system are very unlikely to happen. ; Os sistemas de registo de assiduidade estão associados a legislação laboral para defender os interesses dos empregados e dos empregadores. O controlo de presenças em escolas adquiriu também extrema importância estando cada vez mais associado ao sucesso académico. Atualmente existe uma panóplia de sistemas deste tipo cujas diferenças estão essencialmente ao nível da tecnologia utilizada como base de funcionamento do sistema. O mercado de equipamentos m oveis apresenta igualmente grande diversidade e um rápido e sustentado crescimento, sendo mesmo um dos mercados com maiores taxas de crescimento ano ap os ano na área das tecnologias de informação. A venda de smartphones representa j a mais de metade da venda deste tipo de equipamentos. Devido as enormes potencialidades dos seus sistemas ...
Tourism industry is one of the important economic resources in Malaysia. Tourists from all over the world come to Malaysia to enjoy the beauty of this scenic and tropical country. Accordance to government's efforts in promoting 'Visit Malaysia', facilities and development of tourist places are rapidly developed. Due to this matter, the data available should be updated to ensure travelers receive the updated and accurate information of Malaysia. Common approach for field data collection was carried out using pen and papers that requires the field data collector to bring the map to the field and mark the data on the map. With the advance of technology, integration of smartphone and Geographic Information System (GIS) become the popular approach in field data collection. The purpose of this paper is to identify interesting places and hotels in Bandar Hilir, Malacca using GIS mobile data collection. The method of the research can be divided into three stages such as planning the data field, data acquisition, and database development. The planning stage focuses on choosing data collection materials. The data acquisition stage is more on field data collection process and database development concentrates on the creation of a tourism database. ArcGIS software will be used for the study. The application of GIS can be very useful in the tourism industry and offers the tremendous opportunity in order to ensure better services and life quality. Article DOI: http://dx.doi.org/10.20319/mijst.2016.s21.5969 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
With the democratization of smartphones, law enforcement agencies are increasingly faced with the necessity of extracting data from criminal devices. Several vulnerabilities can be exploited to extract these data, but they are usually quickly fixed by a software update as soon as they are discovered by the manufacturers. We propose a new hardware/protocol based attack targeting data communication bus of a smartphone. This attack is more robust to countermeasures, and allows to have a real-time access to the data exchanged for further processing.
Electoral processes using electronic devices allow voters to cast electronically. Devices such as personal computers, Direct Record Machines (DRE) voting machines, and smartcards, among others, in conjunction with private nets or the Internet have been the main tools to implement electronic voting systems (e-voting). Some years ago, mobile devices had not been considered due to their storage restrictions and low computational power; however, nowadays the technology in these devices has advanced and it is possible to implement complicated applications that offer security services such as confidentiality and authentication. In this paper, a reliable and efficient e-voting system for Android Smartphone is implemented. The e-voting proposed herein is composed of three entities: the authentication server (AS), the voting server (VS) and the voter (V) which runs on an Android Smartphone. Two short messages, between V and AS, are necessary to generate an electronic ballot. In order to cast a vote, one more message containing the ballot is sent from V to VS. Bilinear pairing functions are used to verify the signatures contained in the electronic ballot. Each ballot has short lengths, implying improvements in transmission times. Additionally, considering that the most costly operations such as bilinear pairing are not performed in V, the results obtained in tests show that the e-voting system is efficient.
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted.
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted. ; Sattar, S., Li, S., & Chapman, M. (2018). Road surface monitoring using smartphone sensors: A review. Sensors, 18(11), 3845 ; (This article belongs to the Section Intelligent Sensors)
China's annual Food Safety Publicity Week in June 2019 has, for the first time, included smartphone games in its activities. Food related governmental and non-governmental organizations liaised with Alipay (Alibaba's payment application) launching a smartphone quiz-game with an unprecedented level of public engagement with food information (i.e., food safety, nutrition, and food science and technologies): 12 million participants and 1.7 billion instances of participation within 1 week. This example demonstrates the great potential of smartphone games, and more widely, digital tools, in food-related public education. Given the extent of misinformation among the public on food safety and nutrition issues, food scientists and organizations should be empowered to embrace emerging tools, such as smartphone games, in order to positively shape public opinions. To aid in this task, this commentary article analyzes the factors behind the unprecedented success of Alipay's smartphone quiz-game during China's Food Safety Publicity Week.
The growing smartphone penetration and the integration of smartphones into people's everyday practices offer researchers opportunities to augment survey measurement with smartphone-sensor measurement or to replace self-reports. Potential benefits include lower measurement error, a widening of research questions, collection of in situ data, and a lowered respondent burden. However, privacy considerations and other concerns may lead to nonparticipation. To date, little is known about the mechanisms of willingness to share sensor data by the general population, and no evidence is available concerning the stability of willingness. The present study focuses on survey respondents' willingness to share data collected using smartphone sensors (GPS, camera, and wearables) in a probability-based online panel of the general population of the Netherlands. A randomized experiment varied study sponsor, framing of the request, the emphasis on control over the data collection process, and assurance of privacy and confidentiality. Respondents were asked repeatedly about their willingness to share the data collected using smartphone sensors, with varying periods before the second request. Willingness to participate in sensor-based data collection varied by the type of sensor, study sponsor, order of the request, respondent's familiarity with the device, previous experience with participating in research involving smartphone sensors, and privacy concerns. Willingness increased when respondents were asked repeatedly and varied by sensor and task. The timing of the repeated request, one month or six months after the initial request, did not have a significant effect on willingness.
Among the different types of skin cancer, melanoma is considered to be the deadliest and is difficult to treat at advanced stages. Detection of melanoma at earlier stages can lead to reduced mortality rates. Desktop-based computer-aided systems have been developed to assist dermatologists with early diagnosis. However, there is significant interest in developing portable, at-home melanoma diagnostic systems which can assess the risk of cancerous skin lesions. Here, we present a smartphone application that combines image capture capabilities with preprocessing and segmentation to extract the Asymmetry, Border irregularity, Color variegation, and Diameter (ABCD) features of a skin lesion. Using the feature sets, classification of malignancy is achieved through support vector machine classifiers. By using adaptive algorithms in the individual data-processing stages, our approach is made computationally light, user friendly, and reliable in discriminating melanoma cases from benign ones. Images of skin lesions are either captured with the smartphone camera or imported from public datasets. The entire process from image capture to classification runs on an Android smartphone equipped with a detachable 10x lens, and processes an image in less than a second. The overall performance metrics are evaluated on a public database of 200 images with Synthetic Minority Over-sampling Technique (SMOTE) (80% sensitivity, 90% specificity, 88% accuracy, and 0.85 area under curve (AUC)) and without SMOTE (55% sensitivity, 95% specificity, 90% accuracy, and 0.75 AUC). The evaluated performance metrics and computation times are comparable or better than previous methods. This all-inclusive smartphone application is designed to be easy-to-download and easy-to-navigate for the end user, which is imperative for the eventual democratization of such medical diagnostic systems.
INTRODUCTION: On the world stage unlimited internet access by smartphones have made in social, cultural and economic relations, has transformed the world to be faster and more efficient. In this context, health care requires more attention. Health professionals must be concerned about the majority of the patient's care on the use of smartphone's in this process. Smartphones can be cause distractions and cause poor patient care. Behavioral and psychological changes related to abusive and uncontrolled use in this population may create severe impacts not only on the user's life but also on the community health care. METHOD: A careful research was performed through PubMed, Web of Science and Psycho Info databases using the terms: "Smartphone addiction", "Smartphone dependence", "Smartphone abuse", "physicians", "nurses" and ''health professionals". The search covered the past 5 years up to August 2019. Articles that examine abusive use on smartphones in health professionals were included. We analyzed how this concept evolved over the last five years and hope to contribute to the better understanding of the issue and its impacts on this population and on the health care. RESULTS: There is a lack of specific trial instruments on screening of smartphone addiction or abusive use, tending to adopt different diagnostic criteria by the reports included. There are also a lack of studies discussing etiology of this compulsive behavior. Although known risks, published reports show there is no consciousness of abusive use and possible damages in healthcare by some health professionals. Instead, there are others that can affirm there are unpredictable risks in patient care and tend to stimulate conscience use politics in health settings. Most of them point out smartphone's app benefits. CONCLUSION: Smartphones and its functionalities became part of everyone's life by the various benefits guaranteed. However, an addictive behavior can cause damage, principally in the Health Care setting and health professional's abusive use must ...
