Abstract: Methods, devices, and systems are described to modify the life cycle of a Google Android® application, in its application manifest file and byte code, such that the execution of the application can be controlled via policies and security governed by a workspace application installed on an Android-based device. Dummy wrapper classes are inserted into the byte code for network and I/O system calls that call security code before calling the original classes.

Abstract: Techniques are provided for establishing a secure exchange of data between containerized applications. A method can include registering, by a device, a first containerized application on the device with an access server, registering, by the device, a second containerized application on the device with the access server, verifying that the first containerized application and the second containerized application are configured to exchange data, and exchanging data between the first containerized application and the second containerized application registered with the access server.

Abstract: Methods, devices, and systems are described to modify the life cycle of a Google Android® application, in its application manifest file and byte code, such that the execution of the application can be controlled via policies and security governed by a workspace application installed on an Android-based device. Dummy wrapper classes are inserted into the byte code for network and I/O system calls that call security code before calling the original classes.

Abstract: A computer system for distributing one or more functions in response to a notification includes a first server connected to a point of sale device and a second server separate from and connected to the first server. Upon reception of a notification by the first server from the point of sale device, the first server diverts the purchase notification to the second server, and distributes one or more functions to the second server to prevent the first server from slowing down.

Abstract: A mobile device including one or more linked memories to store a mobile application and customer data, the mobile application downloaded from a rewards server associated with a retailer, the customer data associated with a loyalty program of the retailer. The mobile device further includes a processor to display the mobile application via the user interface. The processor displays a log-in page permitting a customer to access at least one retailer account associated with the customer and displays a purchase price, via the mobile application, for at least one product associated with the retailer. The processor updates, upon reception of the customer input indicating selection of a payment option, the at least one retailer account to indicate a deduction of the displayed purchase price from at least one payment account.

Abstract: Methods, devices, and systems are described to modify the life cycle of a Google Android® application, in its application manifest file and byte code, such that the execution of the application can be controlled via policies and security governed by a workspace application installed on an Android-based device. Dummy wrapper classes are inserted into the byte code for network and I/O system calls that call security code before calling the original classes.

Abstract: Methods, devices, and systems are described to modify the life cycle of a Google Android® application, in its application manifest file and byte code, such that the execution of the application can be controlled via policies and security governed by a workspace application installed on an Android-based device. Dummy wrapper classes are inserted into the byte code for network and I/O system calls that call security code before calling the original classes.

Abstract: An individualized discount and reward server includes one or more linked databases to store customer data associated with a loyalty program of a retailer. The server includes a processor configured to select a retail product from a plurality of retail products associated with the retailer. The processor determines a first percentage indicating a percentage of time the loyalty customer purchases the selected retail product on promotion, and determines a second percentage indicating an average percentage of time a plurality of customers forming a peer group purchases the selected retail product on promotion. Further, the processor determines a comparison result by comparing the first and second percentages. Additionally, the processor allocates at least one customized offer to the retailer account associated with the loyalty customer according to at least the comparison result.

Abstract: A system and method for contextual visualization of content. An exemplary system comprises a visualization module that can determine a sentiment and at least one other metric relating to the content. The metric could be any of recency, velocity and virality. The visualization module generates a plot for visualizing the sentiment and the at least one other metric.

Abstract: An individualized discount and reward server including one or more linked databases to store customer data associated with a loyalty program of a retailer, where the customer data including at least one retailer account and purchase history associated with a customer. The server further includes a processor to select a brand associated with an allocation category and determine an amount the customer spends on the allocation category. The processor determines a likelihood of brand switching indicating a likelihood of the customer purchasing the selected brand according to the purchase history associated with the customer. The processor also allocates one or more brand switching offers for the selected brand to the at least one retailer account associated with the customer for the selected brand based on at least the amount the customer spends on the allocation category and the likelihood of brand switching.

Abstract: An individualized discount and reward server includes one or more linked databases storing customer data including at least one retailer account and purchase history associated with the customer. The server including a processor to allocate at least one customized offer to the retailer account using at least the purchase history associated with the customer, the at least one customized offer including a loyalty adjustment changing a general market price point of a retail product in accordance with a competitor price. The processor further displays to the customer, via the interface, a display page including the at least one customized offer and an option for selection of the at least one customized offer. The processor also updates, upon reception of the customer input indicating selection of the at least one customized offer, the retailer account to indicate selection of the at least one customized offer.

Abstract: A mobile device including one or more linked memories to store a mobile application and customer data, the mobile application downloaded from a rewards server associated with a retailer, the customer data associated with a loyalty program of the retailer. The mobile device further includes a processor to display the mobile application via the user interface. The processor displays a log-in page permitting a customer to access at least one retailer account associated with the customer and displays a purchase price, via the mobile application, for at least one product associated with the retailer. The processor updates, upon reception of the customer input indicating selection of a payment option, the at least one retailer account to indicate a deduction of the displayed purchase price from at least one payment account.

Abstract: An individualized discount and reward server includes one or more linked databases to store customer data, where the customer data includes at least one retailer account and purchase history associated with the customer. The server includes a processor to allocate at least one customized offer to the retailer account using at least the purchase history associated with the customer, where the at least one customized offer includes a loyalty adjustment changing a general market price point of a product in accordance with the customized offer. The processor redeems the customized offer upon receiving a purchase notification. The customized offer is redeemed by associating the product with the loyalty adjustment independent of the general market price point associated with the product at a time of reception of the purchase notification.

Abstract: An individualized discount and reward server includes one or more linked databases to store customer data associated with a loyalty program of a retailer. The server includes a processor configured to select a retail product from a plurality of retail products associated with the retailer. The processor determines a first percentage indicating a percentage of time the loyalty customer purchases the selected retail product on promotion, and determines a second percentage indicating an average percentage of time a plurality of customers forming a peer group purchases the selected retail product on promotion. Further, the processor determines a comparison result by comparing the first and second percentages. Additionally, the processor allocates at least one customized offer to the retailer account associated with the loyalty customer according to at least the comparison result.

Abstract: An individualized discount and reward server includes one or more linked databases to store customer data associated with a loyalty program of a retailer. The server includes a processor to select a retail product purchased at least once by a loyalty customer. The processor determines, from at least a purchase history associated with the loyalty customer, an amount the loyalty customer spends on the selected retail product and an amount each customer from a plurality of customers forming a peer group spends on the selected retail product. Further, the processor compares the amount the loyalty customer spends on the selected retail product to the amount the peer group spends on the selected retail product to form a comparison result and allocate at least one customized offer to the retailer account according to at least the comparison result.

Abstract: A method of encoding signal segments which represent unvoiced plosives. The signal segments to be encoded are contained within a speech signal divided into m=1, . . . , N frames. Each frame is subdivided into l=1, . . . , L subframes. The speech signal has a gain gm(l) within each subframe. An energy measure em(l) representative of the signal segments' energy content is defined. An energy threshold eth(l) representative of a sudden energy change characteristic of an unvoiced plosive is also defined. For each frame, the energy measure em(l) and the energy threshold eth(l) are derived for each subframe within that frame. If em(l)≦eth(l) for each subframe within a particular frame, then a plosive locator lpl=0 and a plosive index ipl=0 are assigned to that frame to indicate absence of a plosive within that frame.

Abstract: A method and apparatus for reducing peak-to-average power ratio in a paging transmitter broadcasting an independent sideband amplitude modulation protocol is disclosed. A digital signal, for example a digital voice signal, is provided to a control gain generator which generates a digital gain sequence. The digital gain sequence is such that during peak values in the digital signal the gain is low and during low values in the digital signal the gain is high. The digital gain sequence is multiplied with the digital signal to compress the dynamic range of the digital signal.