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In order to study the parameter setting of load forecasting model of mobile communication adjacent base station, the particle swarm optimization algorithm is used to make intelligent optimization of the parameter values in the support vector regression model, so as to obtain a prediction model with better parameters. Through the verification of base station load prediction scheme assisted by the nearest neighbor base station, we establish the support vector regression model only using the base station itself historical information that introducing adjacent base station historical information, and compare the performance of the two parts. It is proved that the base station assisted load prediction scheme with assisted adjacent base stations can achieve better performance. [ABSTRACT FROM AUTHOR]

The materials found close to human body such as IC (Integrated Circuit), USB and mobile phone can be used as a dosimetry. SIM card chip used in mobile phone is a silicon rich material and a potential candidate of dosimetry. In this study, thermoluminescence (TL) properties of the SIM card chips of three different operators in Turkey were investigated and analyzed as suitable or not for a dosimeter. Thermoluminescence properties of samples (chips) such as dose response, effect of heating rate, reproducibility and fading properties were carried out. The main results from these experiments are all SIM card chips show the thermoluminescence properties with different TL intensities. The chip which gives the best TL intensity exhibits a distinct peak around 230 ℃ and a shoulder peak around 130  ℃ . The 230  ℃ peak is useful for dosimetric purposes because it is not easily affected by the thermal quenching and the fading. It has linear dose response between 10 Gy and 600 Gy. [ABSTRACT FROM AUTHOR]

The vision of advanced long-term evolution (LTE-A) project is set to ultimate increase of network capacity in heterogeneous networks (HetNets). In HetNets with small cell configuration, a considerable majority of user devices is eventually connected to the macrocell base station (MBS), while small base stations (BSs), such as femtocell access points (FAPs), are still without any user. This results in unbalanced load and reduces the data rate of macrocell user equipment (MUE). In this paper, a method is proposed for load balancing among FAPs, while desired throughput is achieved. The proposed method uses the estimated received signal strength from different BSs and adjusted pilot signals. Under the critical signal to interference plus noise ratio (SINR) condition, a list of candidate FAPs is prepared. The updated candidate list henceforth does not include the least visited FAPs, which in turn leads to lower unnecessary handoffs. Once the BS with the highest number of free RBs and the highest pilot signal power is selected, FAP allocates the RBs with higher SINRs (qualified RBs) to user. In the case of FAP unavailability, the algorithm compels users to connect to the MBS with adequate qualified RBs. The performance of the proposed method was evaluated under a variety of FAPs density, and the number and velocity of users in terms of throughput and Jain’s fairness index. The results evidence affordable improvements in the throughput and Jain’s index in comparison with other methods. [ABSTRACT FROM AUTHOR]

Most of the existing channel models cannot be applied to emerging millimeter-wave (mmWave) systems due to the difference between the characteristics of existing operating frequency bands and mmWave frequency bands. Thus, extensive studies on channel characterization and modeling are required to develop a general and suitable channel model that can accommodate a wide range of mmWave frequency bands in its modeling parameter. This paper presents a study of well-known channel models and their authentications for outdoor scenarios on the 26, 28, 36, and 38 GHz frequency bands. A new generalized path loss model for a range of mmWave frequency bands is proposed. Measurements for the outdoor line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios were taken every meter over a separation distance of 114 m between the TX and RX antenna locations to compare the well-known and the new large-scale generic path loss models. This outdoor channel characterization and modeling was conducted in Malaysia, which represents a tropical region environment, and the outcomes were investigated based on the proposed and the well-known path loss models for single- and multi-frequency schemes. Results show that the proposed model is simple and accurate in terms of frequency and environment signal attenuation. The path loss exponent values are 1.54 and 3.05 for the 20 GHz and 30 GHz bands, respectively. [ABSTRACT FROM AUTHOR]

We present a deflationary account of smartphone addiction by situating this purportedly antisocial phenomenon within the fundamentally social dispositions of our species. While we agree with contemporary critics that the hyper-connectedness and unpredictable rewards of mobile technology can modulate negative affect, we propose to place the locus of addiction on an evolutionarily older mechanism: the human need to monitor and be monitored by others. Drawing from key findings in evolutionary anthropology and the cognitive science of religion, we articulate a hypernatural monitoring model of smartphone addiction grounded in a general social rehearsal theory of human cognition. Building on recent predictive-processing views of perception and addiction in cognitive neuroscience, we describe the role of social reward anticipation and prediction errors in mediating dysfunctional smartphone use. We conclude with insights from contemplative philosophies and harm-reduction models on finding the right rituals for honoring social connections and setting intentional protocols for the consumption of social information. [ABSTRACT FROM AUTHOR]

New technology poses new moral problems for children to consider. We examined whether children deem object tracking with a mobile GPS device to be a property right. In three experiments, 329 children (4-10 years) and adults were asked whether it is acceptable to track the location of either one's own or another person's possessions using a mobile GPS device. Young children, like adults, viewed object tracking as relatively more acceptable for owners than nonowners. However, whereas adults expressed negative evaluations of someone tracking another person's possessions, young children expressed positive evaluations of this behavior. These divergent moral judgments of digital tracking at different ages have profound implications for how concepts of digital privacy develop and for the digital security of children. [ABSTRACT FROM AUTHOR]

In this study, a low-computational-complexity partial transmit sequence (PTS) is proposed for reducing peak-to-average power ratios (PAPRs) of universal filtered multi-carriers (UFMCs). First, we analyze the differences in PAPR between a UFMC system and an orthogonal frequency division multiplexing system. Second, we characterize the threshold of the minimum peak power of the UFMC symbol and delete the candidate signal samples with power values below the threshold. This allows for a reduction in the number of time-domain samples that are multiplied by the corresponding phase-rotating vectors; in addition, it can be used for estimating the PAPR. Third, considering the relationship between the phase-weighting sequences, the computational complexity of the candidate signals is simplified. Numerical results show that the proposed PTS scheme achieves nearly the same PAPR reduction as that achieved by the conventional PTS scheme; meanwhile, it has considerably low computational complexity when the probability, $$\beta $$ , of the maximum peak power being more than the possible minimum peak power is greater than or equal to 0.5. [ABSTRACT FROM AUTHOR]

One of the main objectives of the fifth generation (5G) mobile communication systems, also known as IMT-2020, is to increase the current data rates up to several gigabits per second (Gbit/s) or even up to 10 Gbit/s and higher. One of the possibilities to consider is the use of higher frequencies in order to enlarge the available bandwidth. Wider bandwidth is necessary to achieve much higher data rates. It should be noted that wireless broadband transmission technologies require frequencies for their development. The main goal of the research is to investigate the characteristics and requirements of 5G mobile communication systems. The paper provides an insight into deployment scenario and radio wave propagation in frequencies above 24 GHz of IMT-2020. [ABSTRACT FROM AUTHOR]

An antenna with a modified ground plane is proposed for modern mobile devices in the wireless communications. The proposed antenna design comprises a planar inverted-F antenna with a feeding capacitor (CF) at the top side of the ground plane, and an additional closed loop with lumped inductors (L1 and L2) at the end of the ground plane. The closed loop is connected to the small ground plane for ground mode tuning so that the ground mode resonant frequency is equal to the operating frequency. In the simulation, the -10 dB bandwidth is 140 MHz (from 2.39 to 2.53 GHz) without the closed loop, and is 320 MHz (from 2.34 to 2.66 GHz) with the proposed closed loop. The measured efficiency is 61% on average from 2.3 to 2.6 GHz for the proposed antenna, and is 36% for the reference antenna. The ground mode resonance can be easily tuned, and the proposed technique is a versatile approach for antenna performance improvement. [ABSTRACT FROM AUTHOR]

Most mobile video applications require the encoder to have low complexity. Wyner-Ziv (WZ) video coding removes complex motion estimation from the encoder, and provides error resilience from the embedded channel coding module. WZ video coding is regarded as a promising encoder for wireless video systems. Most WZ video coding based on channel codes is a practical implementation of the binning schemes. In this work, we present a novel two-tier binning scheme that consists of the inner and outer structure, for improving rate-distortion performance. First, we develop a Raptor coding with side information to construct the inner binning structure, which provides a lower rate. Second, for the outer binning, we model the WZ video coding architecture as a multi-access channel, so that we can exploit the property of channel capacity. Third, we exploit the duality property of WZ video coding. Based on such a property, both the primal and dual solutions are subsequently provided in this study. For the primal problem of distortion minimization, we develop dynamic programming to find the optimal binning policy, whereas for the dual problem of capacity maximization, we devise a near sum-capacity binning algorithm. The objective is to lower the coding rate with lower complexity. Experimental results showed that when compared with the state-of-the-art coding, the decoding performance and the quality of our proposed method were respectively enhanced. Besides, we observed that the decoding distortion was reduced through the proposed outer binning, while the proposed inner binning based on Raptor coding by jointly considering side information (SI) lead to a low bitrate when a target decoding quality was specified. Such findings have substantiated the effectiveness of our method. [ABSTRACT FROM AUTHOR]

The past decade has witnessed a tremendous growth in the variety and complexity of mobile applications (apps). Although considerable amount of efforts have been spent to improve app performance, smartphones nowadays still face many performance challenges. We discover that the resource contention of multiple running apps, caused by resource bottleneck(s), is a key factor that affects the smartphone performance. In this paper, we present APB, an A utomatic tool that detects Performance issues caused by resource B ottleneck(s) on commodity Android smartphones. APB employs an innovative bottleneck-hypersurface model to quantify performance issues given a specific system state. Then, based on the model, APB identifies a list of apps that contribute most to the resource contention, which can well inform the end user to take action such as killing background apps to resolve the performance issue. We implement APB on commodity Android platforms and widely evaluate its effectiveness with real user studies. Results show that APB outperforms three baseline approaches and helps users to improve smartphone performance by 10 to 67 percent, with less than 1 percent runtime overhead. [ABSTRACT FROM AUTHOR]

Mobile devices in close proximity can be connected in a device-to-device (D2D) manner to transfer digital objects (e.g., videos) to each other. By using D2D data offloading, mobile users can reduce the cost for data service from wireless cellular networks. However, due to users’ mobility, the opportunity for a user to obtain his interested objects via D2D communication is transient. In this paper, we first propose an expected available duration (EAD) metric to evaluate the opportunity that an object can be downloaded by a user via D2D data offloading. The EAD metric takes into account the pairwise connectivity of users, social influence between users, diffusion of digital objects, and the time that users would like to wait for D2D data offloading. We then propose a distributed algorithm for a mobile device to determine the EAD of each object. Given a set of available objects in the neighborhood, a mobile device will first download the object that has the smallest EAD. We validate our model via trace-driven simulations. Results show that our proposed algorithm can effectively find the object that should be first downloaded. Comparing with existing schemes, our work can help users download more data via D2D data offloading. [ABSTRACT FROM AUTHOR]

Significant research has been devoted to reduce the energy consumption of mobile devices, but how to increase their energy supply has received far less attention. Moreover, reducing the energy consumption alone does not always extend the device operation time due to a unique battery property—the capacity it delivers hinges critically upon how it is discharged. In this paper, we propose B-MODS, a novel design of battery-aware mobile data service on mobile devices. B-MODS constructs battery-friendly discharge patterns utilizing the recovery effect so as to increase the capacity delivered from batteries while meeting data service requirements. We implement B-MODS as an application layer library on the Android platform. Our experiments with diverse mobile devices under various application scenarios have shown that B-MODS increases the capacity delivery from the battery by up to 49.5 percent, with which an increase in the user-perceived data service utilities of up to 28.6 percent is observed. [ABSTRACT FROM AUTHOR]

This article offers a retrospective analysis of the more notable contributions about Spanish Digital Journalism. In this text, we review the changes in digital journalistic practice in Spain. We have brought together their most significant techno-cultural contributions, the social transformation of the reader of the digital press and the new debatable technological discoveries in Digital Journalism beginning from the boom in mobile equipment. [ABSTRACT FROM AUTHOR]

Computer hardware and mobile devices have developed rapidly in recent years, and augmented reality (AR) technology has been increasingly applied in mobile learning. Although instructional AR applications have yielded satisfactory results and prompted students' curiosity and interest, a number of problems remain. The crucial topic for AR applications is the lack of appropriate instructional scaffolds to help students organize the content to be learned. Moreover, a lack of appropriate instructional activities and scaffolds often results in student confusion and frustration. Therefore, we integrated AR with concept maps to form a concept-mapped AR (CMAR) scaffold. Subsequently, whether CMAR improves learning outcomes, motivation, and attitude in mobile learning activities was determined. An empirical study was conducted on 71 fifth-grade elementary students in Southern Taiwan. The students were divided into CMAR and AR system groups. The results showed that students in the CMAR group performed significantly better than those in the AR group. The student interview results also showed that the CMAR system helped students organize what they wanted to learn. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos.info is the property of Pontificia Universidad Catolica de Chile, Facultad de Comunicaciones and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cuadernos.info is the property of Pontificia Universidad Catolica de Chile, Facultad de Comunicaciones and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study presents a technique to design antenna arrays with shaped radiation pattern. The efficiency of the proposed technique is demonstrated for the optimisation of a linear microstrip array for radio base stations of mobile communication systems. The main beam is shaped so as to provide uniform distribution of power inside a sector of a cell and to minimise the power radiated above the horizon. The synthesis of the shaped pattern is achieved by a combination of genetic algorithm and sequential quadratic programming. In contrast to several papers found in the literature that consider only isotropic antennas, the proposed approach takes into account all the radiation properties of small arrays, such as the mutual coupling between the array elements and edge effects. Finally, the design of the feeding system to produce the synthesised pattern is discussed. Measurements are used to validate the proposed technique. [ABSTRACT FROM AUTHOR]

Software energy profilers are the tools to measure the energy consumption of mobile devices, applications running on those devices, and various hardware components. They adopt different modeling and measurement techniques. In this article, we aim to review a wide range of such energy profilers for mobile devices. First, we introduce the terminologies and describe the power modeling and measurement methodologies applied in model-based energy profiling. Next, we classify the profilers according to their implementation and deployment strategies, and compare the profiling capabilities and performance between different types. Finally, we point out their limitations and the corresponding challenges. [ABSTRACT FROM AUTHOR]

The Internet's original design provided a modicum of privacy for users; it was not always possible to determine where a device was or who was using it. But a combination of changes, including "free" Internet services, increasing use of mobile devices to access the network, and the coming "Internet of Things" (sensors everywhere) make surveillance much easier to achieve and privacy more difficult to protect. Yet there are also technologies that enable communications privacy, including address anonymizers and encryption. Use of such technologies complicate law-enforcement and national-security communications surveillance, but do not completely block it. Privacy versus surveillance in Internet communications can be viewed as a complex set of economic trade offs-for example, obtaining free services in exchange for a loss of privacy; and protecting communications in exchange for a more expensive, and thus less frequently used, set of government investi - gative techniques-and choices abound. [ABSTRACT FROM AUTHOR]

Mobile devices have small screens that require the user to constantly resize the web content in order to read the text. This study sets out to (a) check whether current mobile devices are able to zoom or increase the font size of text on websites and (b) check the most efficient, effective, and satisfying usability method for the user to do so. A preparation stage with mobile devices and an experiment with real users were designed and carried out. Results suggested that current mobile devices are able to resize text in web pages. User testing returned that there is no difference in the ability to perform the task or in errors or time to complete it between text-resizing methods. However, users preferred increasing/decreasing font size links method in nontouch devices. In the light of results, it is recommended that links are provided to resize the text in web contents and that they are made readily available. [ABSTRACT FROM AUTHOR]

Despite the proliferation of mobile devices, there is limited awareness of how journalism students are prepared for the evolving nature of the workplace in regard to mobile devices and how journalism professionals utilize this technology in daily routines. This study examines how journalism educators, students, and practitioners embrace the proliferation of rapidly growing mobile technologies in the United States. The study finds that challenges lie ahead for both journalism professionals and scholars as media ecology expands current capabilities and redefines work routines, from funding technologies and gauging ways audiences use new technologies to selecting hardware and software that make reporting relevant. [ABSTRACT FROM AUTHOR]

The ongoing densification of small cells yields an unprecedented paradigm shift in user experience and network design. The most notable change comes from cellular rates being comparable to next-generation WiFi systems. Cellular-to-WiFi offloading, the standard modus operandi of recent years, is therefore shifting towards a true integration of both technology families. Users in future 5G systems will thus likely be able to use 3GPP, IEEE, and other technologies simultaneously, so as to maximize their quality of experience. To advance this high-level vision, we perform a novel performance analysis specifically taking the system-level dynamics into account and thus giving a true account on the uplink performance gains of an integrated multi radio access technology (RAT) solution versus legacy approaches. Further, we advocate for an enabling architecture that embodies the tight interaction between the different RATs, as we lay out a standardization roadmap able to materialize the envisaged design. 3GPP-compliant simulations have also been carried out to corroborate the rigorous mathematical analysis and the superiority of the proposed approach. [ABSTRACT FROM AUTHOR]

Interview duration is an important variable in web surveys because it is a direct measure of the response burden. In this article, we analyze the effects of the survey design, respondent characteristics, and the interaction between these effects on interview duration. For that purpose, we applied multilevel analysis to a data set of 21 web surveys on political attitudes and behavior. Our results showed that factors on both levels, the individual and the survey level, had effects on interview duration. However, the larger share of the variation in interview duration is explained by the characteristics of the respondents. In this respect, we illustrate the impact of mobile devices and panel recruitment on interview duration. In addition, we found important relationships between the respondents’ attitudes and how a web survey is designed: Highly motivated respondents spent significantly more time answering cognitively demanding questions than less motivated respondents. When planning a survey, not only the number and formats of questions need to be taken into account but also the expected sample composition and how the participants will respond to the design of the web survey. [ABSTRACT FROM PUBLISHER]

Revised cantor geometry based compact, low profile LTE fractal antenna is proposed here. The proposed antenna is appropriately covering several wireless applications, including GHz band, 2.3 GHz, 2.6 GHz and 2.9 GHz applications, WLAN 2.4 GHz and 5.8 GHz applications, GSM, UMTS, DCS, Zi applications. This antenna is designed analyzed using MATLAB code based on 3D FDTD method. Antenna finger dimensions are optimized using observations in MATLAB and CST Studio Suite. Radiation Patterns show almost omnidirectional behavior for all the observed frequencies with Directivity between dBi and Radiation Efficiency is within the range of -0.9 dB to -2.1 dB. Experimental results accurate matching with theoretical results. SAR is less than 1.7 W/kg for 10 g tissue, without mobile circuitry but full PCB and LCD film LTE 1.7-1.8 ZigBee, PCS, and 7.7 dBi to 8.2 present film. [ABSTRACT FROM AUTHOR]

An omnidirectional low-profile multiband antenna is designed and fabricated for vehicular telecommunication applications. The fabricated antenna with a radiator patch size of 0.26λL x 0.3λL has a low-profile of 0.022λL and shows multiple resonant frequencies at 1.14, 1.91, and 2.45GHz. Omnidirectional radiation patterns in the azimuth plane and vertical polarization at all operating frequency bands were obtained. Antenna gains greater than 1.7 dBi were obtained at the three operating frequencies, and the antenna height is 6mm. Therefore, the proposed antenna is applicable to the vehicular telecommunication system. [ABSTRACT FROM AUTHOR]

Recent advances in mobile devices and their sensing capabilities have enabled the collection of rich contextual information and mobile device usage records through the device logs. These context-rich logs open a venue for mining the personal preferences of mobile users under varying contexts and thus enabling the development of personalized context-aware recommendation and other related services, such as mobile online advertising. In this article, we illustrate how to extract personal context-aware preferences from the context-rich device logs, or context logs for short, and exploit these identified preferences for building personalized context-aware recommender systems. A critical challenge along this line is that the context log of each individual user may not contain sufficient data for mining his or her context-aware preferences. Therefore, we propose to first learn common context-aware preferences from the context logs of many users. Then, the preference of each user can be represented as a distribution of these common context-aware preferences. Specifically, we develop two approaches for mining common context-aware preferences based on two different assumptions, namely, context-independent and context-dependent assumptions, which can fit into different application scenarios. Finally, extensive experiments on a real-world dataset show that both approaches are effective and outperform baselines with respect to mining personal context-aware preferences for mobile users. [ABSTRACT FROM AUTHOR]

MEMS Inertial Measurement Units are available at low cost and can replace expensive units in mobile mapping platforms which need direct georeferencing. This is done through the integration with GNSS measurements in order to achieve a continuous positioning solution and to obtain orientation angles. This paper presents the results of the assessment of the accuracy of a system that integrates GNSS and a MEMS IMU in a terrestrial platform. We describe the methodology used and the tests realized where the accuracy of the positions and orientation parameters were assessed using an independent photogrammetric technique employing cameras that integrate the mobile mapping system developed by the authors. Results for the accuracy of attitude angles and coordinates show that accuracies better than a decimeter in positions, and under a degree in angles, can be achieved even considering that the terrestrial platform is operating in less than favorable environments. [ABSTRACT FROM AUTHOR]

The proliferation of mobile smart devices has led to a rapid increase of location-based services, many of which are amassing large datasets of user trajectory information. Unfortunately, current trajectory information is not yet sufficiently rich to support classification of user transportation modes. In this paper, we propose a method that employs both the Global Positioning System and accelerometer data from smart devices to classify user outdoor transportation modes. The classified modes include walking, bicycling, and motorized transport, in addition to the motionless (stationary) state, for which we provide new depth analysis. In our classification, stationary mode has two sub-modes: stay (remaining in the same place for a prolonged time period; e.g., in a parked vehicle) and wait (remaining at a location for a short period; e.g., waiting at a red traffic light). These two sub-modes present different semantics for data mining applications. We use support vector machines with parameters that are optimized for pattern recognition. In addition, we employ ant colony optimization to reduce the dimension of features and analyze their relative importance. The resulting classification system achieves an accuracy rate of 96.31% when applied to a dataset obtained from 18 mobile users. [ABSTRACT FROM AUTHOR]

Mobile devices are increasingly used for social networking applications, which share data between devices belonging to different users. Today, such applications are implemented as centralized services, forcing users to trust corporations with their personal data. Although decentralized designs for such applications can provide privacy, these designs are difficult to achieve on current devices due to constraints on connectivity, energy, and bandwidth. Contrail is a communication platform that allows decentralized social networks to overcome these challenges. In Contrail, users install content filters that express their interests on their friends' devices; they subsequently receive new data generated by their friends that match the filters. Both data and filters are exchanged between devices via cloud-based relays in encrypted form, giving the cloud no visibility into either. In addition to providing privacy, Contrail enables applications that are highly efficient in terms of both energy and bandwidth. [ABSTRACT FROM PUBLISHER]

Spectrum sensing is considered as the cornerstone of cognitive radio networks (CRNs). However, sensing the wide-band spectrum results in delays and resource wasting. Spectrum prediction, also known as channel status prediction, has been proposed as a promising approach to overcome these shortcomings. Prediction of the channel occupancy, when feasible, provides adequate means for an SU to determine, with a high probability, when to evacuate a channel it currently occupies in anticipation of the PU's return. Spectrum prediction has great potential to reduce interference with PU activities and significantly enhance spectral efficiency. In this paper, we propose a novel, coalitional game theory based approach to investigate cooperative spectrum prediction in multi-PU multi-SU CRNs. In this approach, cooperative groups, also referred to as coalitions, are formed through a proposed coalition formation algorithm. The novelty of this work, in comparison to existing cooperative sensing approaches, stems from its focus on the more challenging case of multi-PU CRNs and the use of an efficient coalition formation algorithm, centered on the concept of core, to ensure stability. Theoretical analysis is conducted on the upper bound of the coalition size and the stability of the formed coalition structure. A through simulation study is performed to assess the effectiveness of the proposed approach. The simulation results indicate that cooperative spectrum prediction leads to more accurate prediction decisions, in comparison with local spectrum prediction individually performed by SUs. To the best of our knowledge, this work is the first to use coalitional game theory to study cooperative spectrum prediction in CRNs, involving multiple PUs. [ABSTRACT FROM AUTHOR]

It is now common to access mobile video services through various Internet-connectable devices such as game stations, smartphones and tablets. This paper proposes a new energy management scheme for mobile devices by making use of the temporal scalability available in scalable video coding (SVC) techniques. The proposed scheme determines a quality index for each video segment, based on the pixel-wise difference between the luminance planes of consecutive frames at each frame-rate, and predicts the computation needed to decode each frame using data relating frame sizes to previous decoding times. A new dynamic voltage and frequency scaling (DVFS) scheme is then invoked to achieve the specified quality index. The proposed scheme was implemented on a smartphone and a user test was conducted to assess the acceptability of different degree of frame-rate reduction. Real measurements showed that the proposed scheme uses between 5% and 41% less energy than the Linux DVFS governor used in many smartphones, while maintaining acceptable video quality. [ABSTRACT FROM AUTHOR]

With the rapid increase in computational power of mobile devices the amount of ambient intelligence-based smart environment systems has increased greatly in recent years. A proposition of such a solution is described in this paper, namely real time monitoring of an electrocardiogram (ECG) signal during everyday activities for identification of life threatening situations. The paper, being both research and review, describes previous work of the authors, current state of the art in the context of the authors' work and the proposed aforementioned system. Although parts of the solution were described in earlier publications of the authors, the whole concept is presented completely for the first time along with the prototype implementation on mobile device--a Windows 8 tablet with Modern UI. The system has three main purposes. The first goal is the detection of sudden rapid cardiac malfunctions and informing the people in the patient's surroundings, family and friends and the nearest emergency station about the deteriorating health of the monitored person. The second goal is a monitoring of ECG signals under non-clinical conditions to detect anomalies that are typically not found during diagnostic tests. The third goal is to register and analyze repeatable, long-term disturbances in the regular signal and finding their patterns. [ABSTRACT FROM AUTHOR]

It is a study on the perception of consumers towards different features of cell phone and usage pattern. MBA students from Bhubaneswar and Kolkata had participated in the study. Exploratory factor analysis identified two dimensions of cell phone feature perception scale: "Communication" and "Entertainment". Eta tests revealed the perception of cell phone features did not differ significantly across different demographic groups. However, there was gender difference in the perception of "Entertainment" dimension of cell phone features. The study also presents the descriptive statistics of the usage patter of cell phones among students and provides a base for further studies in this area in India. [ABSTRACT FROM AUTHOR]

Long Term Evolution (LTE) is the next step (fourth generation) mobile radio communication technology that succeeds the HSPA. 3GPP standardization body. LTE is expected to be the most competitive radio technology in the future to provide high-data-rate transmission, low latency, improved service and reduced costs. This paper focuses on one of the basic steps in the LTE network planning, by employing LTE dimensioning process, such as link budget and planning, for uplink and downlink coverage, as well as categorization of simulated received signal strengths. Also, a comparison of different propagation models, used by ATDI software (free-space, Okumura / Hata / David, Stanford University Interim (SUI), COST-231 Hata and ITU -R 525/526 Deygout). The Okumura / Hata / David's model showed the highest received power sensitivity (-61 dBm, at 3 km separation distance), while COST-231 Hata model shows the lowest sensitivity at same distance (-96 dBm). In this paper, ATDI planning LTE radio planning software platform has been used for estimating the coverage of UTM, which is a small urban environment. [ABSTRACT FROM AUTHOR]

Bring your own device (BYOD) (also called bring your own technology (BYOT), bring your own phone (BYOP), and bring your own PC (BYOPC)) refers to the policy to permit employees to bring personally owned mobile devices such as laptops, tablets, and smart phones to their office, and to use them to access privileged company information and applications. A Bring Your Own Device (BYOD) program comprise of the organizational technology policies and procedures that provide a secure mobile computing atmosphere on the devices employees want to use for their work. But BYOD is not just a technology issue. It's a central business issue that requires an effective approach around business strategy. The study has been undertaken to analyze if people working in different industries are aware of the BYOD policy of their organization. Also, the study analyzes the level of acceptability of BYOD system. The study has been conducted on 506 employees from five major industries, namely, IT, Manufacturing, Financial Services, Education and others. The study would help the organizations in understanding the major threats and opportunities from the BYOD policy for the organization. [ABSTRACT FROM AUTHOR]

Voice and data communications on high speed vehicles encounter bad channel condition, high call drop rate, serious signaling congestion and excessive power consumption of UE. Mobile relay technology which features on-board relay node is expected to improve the quality of service for passengers. However, the design for fixed relay in LTE-Advanced system cannot meet the requirements of mobile relay. In this article, the architecture for mobile relay is presented. The key techniques of supporting mobile relay are investigated, such as the group mobility, the local service support, the multi-RAT and RAN sharing, with the corresponding solutions. The potential system optimization, for example, the self-optimization network, power saving, measurement and system information acquisition are also presented where the efficiency of mobile relay can further be improved. Simulation and numerical results demonstrate the feasibility of the mobile relay. [ABSTRACT FROM PUBLISHER]