Jinsul Kim

Employing collective intelligence for user driven service creation

With advances in computing technologies and active user participation through smart devices such as the iPhone and Android, user needs are becoming varied and complex. It is quite natural, then, that a single Web service may not be sufficient to fully satisfy the diverse goals of users in their daily lives. A set of cohesively connected Web services/mashups may be able to deal with these goals. An increasing number of open APIs can facilitate various types of service compositions with users as the service creators. Recently, Internet, telecommunications, and third-party providers have opened their services to the public in the form of open APIs, a trend following the Web 2.0 paradigm. However, most service creation environments do not have sufficient knowledge (particularly, available services and their functionality) to support service creation by users. The problem of knowledge scarcity is that users may have difficulty in finding relevant open APIs for a given situation, finally resulting in rather straightforward types of service. In this article we present two kinds of collective intelligence for user-driven service creation: the users own experiences in service composition, and activity knowledge from the web. These collective intelligence types will aid in creating enduser service compositions by enforcing knowledge support in terms of user experiences and activity-aware functional semantics, and will finally accelerate the development of various kinds of converged applications. Using the beneficial roles of collective intelligence as key enablers of future service creation environments, this article also shows a new potential for user-driven composite services within the next few years.

IPTV Systems, Standards and Architectures: Part II - Heterogeneous Networks and Terminal-Aware QoS/QoE-Guaranteed Mobile IPTV Service

We describe two main technical challenges in terms of the network and application levels for mobile IPTV service. To support a multimedia- streaming application service over a mobile network environment, we present the IP/MPLS-based NGN architecture with fixed and mobile convergence and its challenge, which is basically to support QoS for mobile IPTV ser vice. To meet the challenges for application source levels, we focus on the relationship of user terminals and video streaming sources to support user-perceived QoE, based on high- quality service between heterogeneous terminals. The techniques to meet these challenges depend on the characteristics of media processing and terminal capabilities, such as LCD panel size, resolution, video coding, and so on, in the heterogeneous network environment. To have a relationship between the two different levels, the significant factors mentioned previously are required to deliver the bandwidth coupled with a user profile to provide QoS/QoE in assured seamless mobile IPTV service on client devices.

An Automated ECG Beat Classification System Using Convolutional Neural Networks

Classification of Electrocardiogram (ECG) plays an important role in clinical diagnosis of cardiac diseases. In this paper, we introduce an ECG beat classification system using convolutional neural networks (CNNs). The proposed model integrates two main parts, feature extraction and classification, of ECG pattern recognition system. This model automatically learns a suitable feature representation from raw ECG data and thus negates the need of hand-crafted features. By using a small and patient-specific training data, the proposed classification system efficiently classified ECG beats into five different classes recommended by Association for Advancement of Medical Instrumentation (AAMI). ECG signal from 44 recordings of the MIT-BIH database are used to evaluate the classification performance and the results demonstrate that the proposed approach achieves a significant classification accuracy and superior computational efficiency than most of the state-of-the-art methods for ECG signal classification.

A Robot Photographer with User Interactivity

This paper describes a new robot photographer system which can interact with people. The goal of this research is to make the system act like a human photographer. This system is based on a mobile robot having capabilities of wireless communication and stereo vision. It recognizes waving hands of people, moves toward them, and takes pictures with designated compositions. The pictures are transmitted to personal computers over the wireless network. In comparison with previous researches, the most unique things of this system are human interaction and user preference. To realize these properties, this new robot photographer system is considered optical property of lens and applied interesting vision algorithm which was never tried before for previous robot photographer systems

Smart Wheelchair Control System Using Cloud-Based Mobile Device

The prevalence of smart mobile IT industry is changing very rapidly worldwide. Wide varieties of products are linked to the smart mobile and offer various services. Among them, handicapped assistive devices are also growing rapidly and a variety of products have been released. This paper proposes a system that uses a customized cloud-based mobile device to control the wheel chair. Through a simple login, users are able to control a wheelchair that fits on the sheets, personal affront to fit window or by setting the time every hour to prevent system access. The mobile device is not only used to control movement but also in event of problem or error, it can be checked through the smart device interface. If an emergency occurs, a message will be sent to a pre-registered contact.

An Energy-Efficient Balancing Scheme in Wireless Sensor Networks

A typical wireless sensor network is conceived as bring a very large collection of low-powered, homogeneous nodes that remain stativ post-deployment and forward sensed data to a single sink via multi-hop communication. During the recent years, many energy-efficient load balancing protocols have been proposed for wireless sensor networks. Because a wireless networks consists of a large number of nodes with limited resources, the load balancing protocol is one of the key issues which can be solve the tradeoff between the service capacity and energy efficience. Load balancing protocols typically employ only a network capacity oriented approach in the next hop node is selected on adjacent or network information. This approach draw into a large overhead when the accurate adjacent information is needed for efficient and reliable routing. When an application service is caused large interaction between the adjacent nodes, the previous load balancing protocols without considering this issue were re-allocated the adjacent nodes and the other adjacent is re-allocated another region. This is not efficient for network performance because the previous protocols are generated the large overhead by increased routing and overhead. So, we propose a user-oriented load balancing scheme for an energy-efficient load balancing in wireless networks which is based on allocate load on wireless sensor nodes proportionally to each of the agent’s capacity and user-oriented approach. This proposed scheme is combined dynamic provisioning algorithm based on greedy graph and user oriented load balancing scheme for maintain of the performance and stability of distributed system in wireless sensor networks. We address the key functions for our proposed scheme and simulate the efficiency of our proposed scheme using mathematical analyze.

A New Virtualized Environment for Application Deployment Based on Docker and AWS

The setup environment and deployment of distributed applications is a human intensive and highly complex process that poses significant challenges. Nowadays many applications are developed in the cloud and existing applications are migrated to the cloud because of the promising advantages of cloud computing. The very core of cloud computing is virtualization. In this paper, we will look at application deployment with Docker. Docker is a lightweight containerization technology that has gained widespread popularity in recent years. It uses a host of the Linux kernel’s features such as namespaces and croup’s to sandbox processes into configurable virtual environments. Presenting two common serious challenging scenarios in the software development environment, we propose a multi-task PaaS cloud infrastructure using Docker and AWS services for application isolation/optimization and rapid deployment of distributed applications.

An efficient multi-task PaaS cloud infrastructure based on docker and AWS ECS for application deployment

The setup environment and deployment of distributed applications is a human intensive and highly complex process that poses significant challenges. Nowadays many applications are developed in the cloud and existing applications are migrated to the cloud because of the promising advantages of cloud computing. Presenting two common serious challenging scenarios in the application development environment, we propose a multi-task PaaS cloud infrastructure using Docker and AWS services for application isolation, optimization and rapid deployment of distributed applications. We fully utilized Docker, a lightweight containerization technology that uses a host of the Linux kernel’s features such as namespaces and cgroup’s to sandbox processes into configurable virtual environments. The Amazon EC2 container service helps our container management framework. The cluster management framework uses optimistic, shared state scheduling to execute processes on EC2 instances using Docker containers. Several experimentations were carried out, one of the experimentation focused on a simulation of application deployment scheduling that shows our propose infrastructure is flexible, efficient and well optimized.

The advanced Korea--computer access assessment system (K-CAAS) on smart mobile cloud environment

The purpose of the research in this paper was to improve the Korea-Computer Access Assessment (K-CAAS) to assess future mobile computer access of individuals with physical disabilities. The advancement of the K-CAAS included testing areas of double click, right click, scrolling, keyboard input with letter, word, and sentence, switch, and scanning, which broadly improved from the first development of click, drag, and menu only for alternate or general mouse use on mobile computing environment. Skill levels in each test area could be set as primary, intermediate, proficient, and customized according to individuals’ needs and conditions. All tests have their default sets in each level, and the skill levels could be selected and changed by the abilities and goals of a user. The system could be used for users’ training as well as assessing to operate a computer and mobile devices in cloud environment and, their interaction and test results could be traced and displayed virtually from mobile cloud environment. This assessment program with human-computer interaction features and automatic data analyses would help users with physical disabilities control a computer better by themselves as improving their computer access skills.

Power Efficient Clustering for Wireless Multimedia Sensor Network

The availability of inexpensive hardware such as CMOS cameras and microphones has fostered the development of wireless multimedia sensor networks (WMSNs). In WMSNs, wirelessly interconnected devices enable ubiquitously retrieving multimedia contents such as video and audio streams, and still images along with scalar data from surroundings for wide range of applications are constrained by processing, memory, and power resources. Image compression via low-complexity and resource efficient transforms has been addressed by several researchers to prolong network lifetime where energy conservation is achieved through sharing computational load among sensor nodes and by adjusting the transmission ranges of camera nodes. However, those schemes are not adaptive to the presence and changes of energy level of computational sensor nodes and to the amount of computational load. We propose a resource and energy efficient distributed image compression algorithm that dynamically configures according to the energy levels and the forwarding strategy that is based on the entropy of the image. The simulation results show that our adaptive distributed image compression scheme significantly prolongs the network lifetime and improves the network utilization efficiency, while maintaining adequate image quality.