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When shopping in a big supermarket, customers often encounter two inconvenient places. The first problem is that it is difficult to find the target goods. The second problem is that the checkout process takes a long time. In this paper, Radio Frequency Identification and two-dimensional code technology are used to solve these two problems. The intelligent supermarket system mainly contains the following...
Mobile device features such as camera and other sensors are evolving rapidly nowadays. Supported by a reliable communications network, it raises new methods in information retrieval. Mobile devices can capture an image with its camera and pass it to the retrieval systems to get the information needed. This system, called Mobile Content-Based Image Retrieval (MCBIR), generally consists of two parts:...
A large number of web databases are hidden behind form-based interfaces (consisting of interface components such as textboxes, drop-down boxes, etc) for users to enter their desired values in a search query. Form-based interfaces are not always easy to use and error-prone on mobile devices, mainly because of limitations such as smaller screen, trickier text input, etc. We build MobiFace which is a...
An automatic system for health data management and service report generation from Android OS smartphones was designed and implemented. QR Code is used as an identifier and a tracking tool for patients involved in rehabilitation treatments. The system was implemented both in a rehabilitation gymnasium and in a hospital ward. The experimental results highlight clearly an efficiency improvement in health...
Local databases have become an important component within mobile applications. Developers use local databases to provide mobile users with a responsive and secure service for data storage and access. However, using local databases comes with a cost. Studies have shown that they are one of the most energy consuming components on mobile devices and misuseof their APIs can lead to performance and security...
Homework review is a crucial process oi learning in which teachers can assess the learning condition oi students and the whole class. Accordingly, teachers can make adjustments for further teaching. However, there are some key problems which make homework review a pressure ior teachers, such as large amount of assignments versus teachers' limited time. Under this condition, teachers could not give...
Anticipatory mobile computing is an emerging research field in pervasive environments. However, building multiple anticipatory applications to proactively support a user on his behalf still involves a disproportionate effort through their interdisciplinary nature and individual complex development from scratch. In this paper, we present architectural concepts and a reference implementation of a distributed...
This paper aims to identify and analyze recommender systems developed for the health area, available in mobile applications. Therefore, literature was reviewed systematically from ACM, IEEE, Springer and Science Direct databases. 1006 studies were found, eight of which met the eligibility criteria. From the chosen studies, only one was not applied to the areas of nutrition and physical activity. The...
The Goo9 system is composed of a detection sensor module (include a humidity sensor and a temperature sensor), a data processing module, a cloud-based database, and a baby profile module. The humidity sensor and temperature sensor detects the temperature/humidity changes of a diaper and transfer the data of diaper change to the data processing module for analysis. The analysis results about the wetness...
Mobile indoor navigation systems, such as those provided by indoo.rs, often use WiFi or Bluetooth RSSI fingerprint maps, as this approach works on most mobile devices. Because of device and antenna characteristics, not all devices report the RSSI for a given input. Therefore, it is difficult to combine data from multiple devices. In the indoo.rs SLAM Crowd Engine, which is used to create the radio...
Global positioning systems, that proved their success in the outdoors, cannot perform as well in enclosed environments because they suffer from absence of line of sight or bad reception quality of base stations. In this regard, methods are being developed for highest accuracy indoor locating performance with least cost. Among these methods localization with fingerprinting is far more superior to other...
Indoor localization is a very promising field in the era of Internet of things (IoT) and has a large number of potential applications. Due to the popularity of mobile devices in recent years, using the Received Signal Strength (RSS) of Wi-Fi signals and a fingerprint database (a.k.a radio map) for indoor localization becomes quite attractive. One obstacle is that the RSS values on the reference device...
The problem of collecting, processing, and learning from high-volume mobile device data has become an active research area in recent years. Time series data on application usage, in particular promises to provide fine-grained information on individual activity patterns, but currently poses collection and analysis challenges. In this paper we demonstrate an integrated system which can cheaply and easily...
Mobile app testing and evaluation requires exposing the app to a wide array of real world context conditions viz. location, sensor values, network conditions etc. Such comprehensive context conditions are difficult to create in a development environment on a real device, therefore, simulating them in a mobile emulator is a promising alternative. We present ContextMonkey, a framework for context generation...
The success of Wi-Fi technology as an efficient and low-cost last-mile access solution has enabled massive spontaneous deployments generating storms of beacons all across the globe. Emerging location systems are using these beacons to observe mobility patterns of people through portable or wearable devices and offer use-cases that can help solve critical problems in the developing world. In this paper,...
This paper presents method for acquisition and processing status data of mobile devices. In this research smartphone, tablet PC, VANET or MANET nodes are regarded as mobile devices. The proposed method utilizes gathering information about state of hardware modules and network around the mobile device. Then the acquired information is processed in order to determine the metrics of mobile device which...
To reduce the amount of CO2 produced from the personal cars in the world, the parking lot guidance systems are considered to be the solution in shopping malls or department stores in many countries. However, most of the current parking lot systems are located in the parking area of each shopping mall and they cannot show the parking lots information for the driver that are driving on the road. So,...
Currently, all kinds of Location-based Services (LBS) are gradually demanding more location information of mobile users. The WiFi-based indoor positioning technologies have been investigated intensely. However, both positioning accuracy and stability are often degraded by RSS detection variance between different devices. To solve the two problems, this paper proposes a compensation strategy for RSS...
Pokemon Go is a mobile device based game that is very popular among teenagers. The game is based on the Geographic Information System (GIS) that utilizes the player's location and interacts with many fancy characters stored in local databases, and occasionally some information stored in remote databases. The game requires a lot of computations for distances, rules, and interactions. In this paper,...
A novel approach for fast iris recognition on mobile devices is presented in this paper. Its key features are: (i) the use of a combination of classifiers exploiting the iris colour and texture information; (ii) its limited computational time, particularly suitable for fast identity checking on mobile devices; (iii) the high parallelism of the code, making this approach also appropriate for identity...
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