Wireless Mobile Utility App Apk Download LINK

The Wireless Mobile Utility connects your smart device to Nikon digital cameras wirelessly (via Wi-Fi), letting you download photos, take pictures remotely, and share them hassle-free via e-mail or upload to social networking sites.

Alternative to WMU (wireless mobile utility) ?

When I transfer photos using WIFI via WMU app, I find the photos to be very "soft". I know they are compressed by not sure why they are so 'soft' borderline blurry looking (when I transfer via SD card to desktop, I see the original uncompressed file is sharp). Is there an alternative app available that transfers photos via wifi without a significant loss in quality?

10:50PM, 7 April 2016 PST(permalink)

Wireless Mobile Utility App Apk Download

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I like the imaging capabilities of Nikon gear a lot, but the WMU app is one of the worst available. My workaround is an eyefi sd card in the second slot of my D7000. It quickly streams the jpgs full size to my mobile device. I've put the activation of the eyefi card on a function button. The D500 will have a much better connectivity called snapbridge .. unfortunately not available for older equipment ..

Originally posted 94 months ago. (permalink)

m_laRs_k edited this topic 85 months ago.

Is anyone else having problems with getting the wifi connection between your nikon camera and the iPad? I have a nikon camera that have built in wifi and an iPad Pro. I downloaded the wireless mobile utility; the iPad recognizes the wireless signal from the camera but the two devices won't connect. It works fine with my iPhone, but not the iPad. As far as I can tell there's only one version of the wireless utility app and from what I've read it should work on both iPhones and iPads.

The Job Link System allows the user to receive multiple measurements from multiple locations in real-time on a smart device. Tools in the Job Link system communicate directly with the mobile device or SMAN digital manifolds using Bluetooth technology.

Installing the dedicated Wireless Mobile Utility app on your smart device lets you view the camera display on the smart device and control the camera remotely via a wireless network connection. You can also download photos to the smart device for sharing via the Internet.

This is an E-supplement to GAO-10-34. This e-supplement provides information from two surveys: one is a nationwide survey of consumers about their satisfaction with wireless phone service and problems they have experienced with it in recent years, and the other is a survey of state utility commissions about their oversight of this service. We surveyed a nationally representative, randomly selected sample of adult wireless phone users 18 years of age or older who had cell phone service in 2008 to determine consumers' satisfaction with wireless phone service and any problems experienced. We conducted this survey of the American public from February 23, 2009, through April 5, 2009. We completed 1,143 interviews, which included calls made to all 50 states, with an overall response rate of 32 percent. Our sampling approach included randomly contacting potential respondents using both landline and cell phone telephone numbers. Using both types of telephone numbers provided us with comprehensive coverage of adult cell phone users. We conducted an analysis of the final weighted estimates from our survey to identify whether our results contain a significant level of bias because our results inherently do not reflect the experiences of those who did not respond to our survey--i.e., a nonresponse bias analysis. Because we did not identify obvious levels of bias in the final weighted estimates at the national level, we chose to include these estimates in this e-supplement. We surveyed state utility commissions in all 50 states and the District of Columbia to determine their efforts to oversee services provided by wireless phone service carriers, including their regulation of these services and efforts to process consumer complaints. We conducted this survey from March 3, 2009, through April 1, 2009. Using a Web-based survey and subsequent follow-up with individual states, we received responses from all 51 commissions. The e-supplement includes (1) our analyses of responses to both surveys and (2) the questions asked in the two surveys. It does not include some results from both surveys.

This e-supplement provides information from two surveys: one is a nationwide survey of consumers about their satisfaction with wireless phone service and problems they have experienced with it in recent years, and the other is a survey of state utility commissions about their oversight of this service. We surveyed a nationally representative, randomly selected sample of adult wireless phone users 18 years of age or older who had cell phone service in 2008 to determine consumers satisfaction with wireless phone service and any problems experienced. We conducted this survey of the American public from February 23, 2009, through April 5, 2009. We completed 1,143 interviews, which included calls made to all 50 states, with an overall response rate of 32 percent. Our sampling approach included randomly contacting potential respondents using both landline and cell phone telephone numbers. Using both types of telephone numbers provided us with comprehensive coverage of adult cell phone users. We conducted an analysis of the final weighted estimates from our survey to identify whether our results contain a significant level of bias because our results inherently do not reflect the experiences of those who did not respond to our surveyi.e., a nonresponse bias analysis. Because we did not identify obvious levels of bias in the final weighted estimates at the national level, we chose to include these estimates in this e-supplement. We surveyed state utility commissions in all 50 states and the District of Columbia to determine their efforts to oversee services provided by wireless phone service carriers, including their regulation of these services and efforts to process consumer complaints. We conducted this survey from March 3, 2009, through April 1, 2009. Using a Web-based survey and subsequent follow-up with individual states, we received responses from all 51 commissions.

The e-supplement includes (1) our analyses of responses to both surveys and (2) the questions asked in the two surveys. It does not include some results from both surveys. For the survey of consumer satisfaction, we omitted results with a margin of error +/- 9 percent or more and demographic data. For the state utility commission survey, we omitted results for questions to which we received inconsistent responses that we could not clarify through additional follow-up. Additionally, for both surveys, we excluded responses to open-ended narrative questions and categories with no responses. All results have been rounded to whole numbers. The consumer survey also includes instructions for the interviewer, such as click one and check all that apply.

We conducted our work in accordance with generally accepted government auditing standards. A more detailed discussion of our scope and methodology and agency comments on the draft report are contained in our report "Telecommunications: FCC Needs to Improve Oversight of Wireless Phone Service," GAO-10-34 (Washington, D.C.: Nov 10, 2009).

In next generation wireless network (NGWN), mobile users are capable of connecting to the core network through various heterogeneous wireless access networks, such as cellular network, wireless metropolitan area network (WMAN), wireless local area network (WLAN), and ad hoc network. NGWN is expected to provide high-bandwidth connectivity with guaranteed quality-of-service to mobile users in a seamless manner; however, this desired function demands seamless coordination of the heterogeneous radio access network (RAN) technologies. In recent years, some researches have been conducted to design radio resource management (RRM) architectures and algorithms for NGWN; however, few studies stress the problem of joint network performance optimization, which is an essential goal for a cooperative service providing scenario. Furthermore, while some authors consider the competition among the service providers, the QoS requirements of users and the resource competition within access networks are not fully considered. In this paper, we present an interworking integrated network architecture, which is responsible for monitoring the status information of different radio access technologies (RATs) and executing the resource allocation algorithm. Within this architecture, the problem of joint bandwidth allocation for heterogeneous integrated networks is formulated based on utility function theory and bankruptcy game theory. The proposed bandwidth allocation scheme comprises two successive stages, i.e., service bandwidth allocation and user bandwidth allocation. At the service bandwidth allocation stage, the optimal amount of bandwidth for different types of services in each network is allocated based on the criterion of joint utility maximization. At the user bandwidth allocation stage, the service bandwidth in each network is optimally allocated among users in the network according to bankruptcy game theory. Numerical results demonstrate the efficiency of the proposed algorithm.

The realization of WET is divided into the Near-field Coupling and the Far-field Radio Frequency Power Transfer. Near-field Coupling is divided into inductive coupling, resonance coupling and capacitive coupling. The Far-field Radio Frequency Power Transfer includes Directive RF Power Beamforming and Non-directive RF Power Transfer [5]. In this paper, we use wireless charging technology based on resonance coupling, which can transfer large amounts of energy in an efficient way [6,7]. There are four kinds of scenarios used for wireless charging, point provisioning, path provisioning, multihop provisioning and landmark provisioning [8]. Point provisioning employs static charger to supply energy for static nodes, and path provisioning uses static charger to supply energy for dynamic nodes. Multihop provisioning uses a static charger responsible for all nodes, since the sensor nodes equipped with energy transfer function can transfer their energy to neighbor nodes. By deploying a series of landmarks in advance, a dynamic charger is applied to charge nodes along the fixed path landmarks in Landmark provisioning [5]. The charging scenario in this paper is similar to the landmark provisioning and the dynamic charger is replaced by Wireless Charging Vehicles (WCVs) equipped with a resonant coil. In addition, WCVs can cover the whole network and move to the charging requested nodes for wireless charging [9]. The energy charging scheme is charging on demand and the requested nodes are arranged based on certain rules to maximize the nodes lifetime. ff782bc1db