Seongbae Eun

A perspective on the IoT services through a multi-dimensional analysis

IoT (Internet of Things) technology connects network with intelligent things. The application range of this technology has been expanding through convergence with technologies from various fields. It has no certain limitation on application, rather than that it creates a new service while having convergence with existing systems and services. IoT services have variety of kinds that makes them hard to understand the precise features such as the scale, capacity and performance. There needs a categorization method for those services which is both inclusive and simplified to understand easily. This paper presents a new multi-dimensional classification method for IoT services. In our classification model, IoT services are classified as three dimensions; temporal, spatial, and relational criteria. The multi-dimensional classification model contributes to the high level understanding of IoT services.

Design and Implementation of μ-Webpage based on QR Code

QR(Quick Response) Code has been developed to provide greater storage capacity and more functionality compared to 1D bar codes. With the emergence of increasingly mobile devices equipped with cameras such as smart-phones and tablets, QR codes have become very popular and more important in mobile businesses. Typically, most QR codes are used as a URL link for redirecting users to webpages. However, the URL based QR codes are required to be connected over the internet and to be run a server. This can incur unnecessary traffics in the Internet. Furthermore, it is not suitable for the country lagging behind others in its network infrastructure. In this paper, we propose a server-less -webpage to provide mobile web services and be optimized for the capabilities and limitations of QR Code. We have implemented the -webpage in Android, and the results showed that the proposed mechanism can provide web-services without requiring extra servers or incurring mobile traffic data compared to the URL-based QR Codes.

A Micro-Webpage Stored in NFC Tag

A Smartphone has an ability accessing Internet by URL stored in NFC(Near Field Communication) Tag for storing the information of items, blogs and web pages. Because the system works through the Internet with URL, however, it needs to pay some costs like communication fee and time. If we can store the web page on the tags, we can save the communication overhead. But they have too small memory to store it. In this paper, we introduce the Micro-Webpage technology which can be stored in NFC tag or QR(Quick Response) code. To make a Micro-Webpage, we remove control tags from the web page to leave a user original content. The removed control tags are stored in our smartphone application as a template. The user content is also compressed to a smaller one by an lossless compression algorithm. When a tag is read, the stored content is decompressed and, it is combined with the template to make the original web page. We have implemented a prototype of Micro-Webpage system on Android platform and confirmed that the prototype has reasonable performance improvements in saving memory and loading web page time.

Development of an O2O(offline to online) application case based on person wide web platform

As smartphones become more and more popular, O2O (Offline-to-Online) applications have been spotlighted. They provide users offline data using NFC, QR, and Beacon technologies. But, there are some problems such as the high cost of server maintenance and the private data spills since they are implemented on WWW technologies. This paper suggests PWW (Person Wide Web) platform that provides server-less service on smartphones. In PWW, a smartphone has a PWW browser which is composed of an anchor scanner, a web view, an API linkage library, and internal/cloud storages. When the PWW browser scans an anchor includes a URL, it opens a web document stored in the internal storage of the smartphone or its corresponding cloud. The web document contains the API linkage library to utilize the several devices like a camera, GPS, and so on in the smartphone. In order to show the usefulness of PWW platform, we described the example of handling private data such as business cards. The PWW platform could be applied to various area in real world by developing web-based mobile applications.

A Unified App Architecture for Plug & Play of Smart Phone USB Sensor`s

Performance of smart phones has increased to conduct simple PC functions that has become essential to modern people. With the development of smart phones, not only limited inner sensors but various sensors can be connected through USB. However, there is problem that app needs to downloaded when using each sensor. In this paper, a smart phone unified app structure for USB sensor Plug&Play is presented. The structure was designed to download web pages to use various sensors in one app. Unified app communicated with the platform through ADK accessory protocol and implements structure of delivering sensor ID to the web server and downloading device driver, web page. By measurement test, it was confirmed that download time of web page in unified app was 10 times faster than original download time of original app. By managing various sensors by one app, the app is searched every time the sensor changes in which there is no need for downloading several apps.

Deep neural networks based user interface detection for mobile applications using symbol marker

The UI storyboard is a design drawing for the development of mobile application. The designer uses a storyboard as a tool to help communication between the developer and the designer. However, the developer can make an unintended widget which is different from the intention of the designer. In this paper, we propose a DNN (Deep Convolutional Neural Network) based automatic UI detection method using symbol markers to improve the accuracy of UI identification. The symbol marker can be useful for UI detection and developing the UI Code.

Detection of GUI Elements on Sketch Images Using Object Detector Based on Deep Neural Networks

Graphical user interface (GUI) is very important to interact with software users. In many studies, therefore, they are trying to convert GUI elements (or widgets) to code or to describe formally its structure by help of domain knowledge or machine learning based algorithms. In this paper, we adopted object detection based on deep neural networks that finds GUI elements by integration of localization and classification. After the successfully detection of GUI components, we will describe the objects as the hierarchical structure and transform those to appropriate codes by synthetic or machine learning algorithms.

A dynamic duty cycle control mechanism based on mobility for animal tracking

The advent of IoT(Internet of Things) has triggered various kinds of USN(Ubiquitous Sensor Network) services in diverse fields. Keeping pace with the advance of USN service, many researchers have conducted studies to figure out low energy consumption of sensors. It is required to develop effective communication way with moving objects by using mobile sensors, not by using fixed sensors. This paper proposes the way to communicate effectively with moving objects and to achieve low energy consumption of sensors by controlling dynamic duty cycle based on mobility. In addition, this paper suggests the real life application for location management system of wild life animals.

A Dynamic Duty Cycle Adjustment Mechanism for Reduced Latency in Industrial Plants

For environmental monitoring and risk identification of industrial plants, several monitoring systems using Wireless Sensor Networks (WSNs) have been developed. In this paper, we propose a dynamic duty cycle adjustment mechanism for reduced latency in industrial plants. The proposed method adjusts the duty cycle among predefined risk groups depending on the urgency of sensed data values. To demonstrate its efficacy, we analyze the expected transmission latency model and then discuss the characteristics in detail. We show that the proposed dynamic duty cycle mechanism is a more effective than a periodic mechanism by analyzing the expected latency of them in industrial plants where there are various types of sensory data with different levels of reliability.

Voice Conversion Between Synthesized Bilingual Voices Using Line Spectral Frequencies

Voice conversion is a technique that transforms the source speaker individuality to that of the target speaker. We propose the simple and intuitive voice conversion algorithm not using training data between different languages and it uses text-to-speech generated speech rather than recorded real voices. The suggested method reconstructed the voice after transforming line spectral frequencies (LSF) by formant space warping functions. The formant space is the space consisted of representative four monophthongs for each language. The warping functions are represented by piecewise linear equations using pairs of four formants at matched monophthongs. In this paper, we applied LSF to voice conversion because LSF are not overly sensitive to quantization noise and can be interpolated. From experimental results, LSF based voice conversion shows good results for ABX and MOS tests than the direct frequency warping approaches.