Tae-Wook Heo

Escaping from ancient Rome! Applications and challenges for designing smart cities

From ancient Europe, the renaissance and industrialisation eras, to the modern times, urban planning paradigms have evolved in many ways, advancing the environments where people live in. Nevertheless, the recent development of wireless and wired communication network technologies and low-power miniature sensors for various application domains provide us with another chance of revolutionising cities by making them smarter. Smart cities, propelled by a city-scale infrastructure, where information provided from different application systems integrate together, will initiate the development of new applications that can benefit our everyday lives. This article presents an overview of representative applications that consist a smart city with their respective challenges and application requirements. Furthermore, we share our experiences obtained from designing and deploying examples of such smart systems in multiple application domains and summarise the remaining challenges for making the vision of designing smart cities a reality. Copyright

Ubiquitous location based service

In this paper, we developed ubiquitous location based service (LBS) based on the Web service, because Web service environments provide a suitable method to gather requested information in an appropriate way. The proposed architecture cooperate with open location service (OpenLS) (directory service, location utility service and route service), tracking service, and travel advisory service. The new architecture of ubiquitous location based service is proposed.

A smartphone connected software updating framework for IoT devices

This paper proposes a software framework and hardware architecture to exchange the binaries and profiles from smartphones to IoT devices and reprogram devices with smartphones. This scheme, when included in a system of smartphones interconnected with locally deployed IoT devices in wired or wireless manners, can be used to implement a practical updater.

Multitiered and Distributed WSAN for Cooperative Indoors Environment Management

For the past decade, wireless sensor networks have focused primarily on data collection. As a result the network topology for these systems was usually heavily centralized. However, for these networks to form a full system, the introduction of proper actuation units and decision-making intelligence is inevitable. Such a new wireless sensor and actuator network system enables new architectural research issues that have not been previously studied. In this work, we introduce the DWSAN system architecture, which effectively combines both sensor and actuation hardware devices to a single network and manages this network so that the actuation decisions are made in a distributed manner and the topology of the network maintains a multitier architecture. Our intensive set of evaluations reveal that, compared to the centralized approach that has been used in most wireless sensor network systems until now, when actuation units are introduced to the system, the DWSAN architecture reduces the transmission load of the network and the actuation decision-making latency by close to twofold and threefold, respectively. Furthermore, we show that this benefit naturally leads to better scalability of the system, making it suitable for various sensing applications in different environments.

Open location based services on moving object

We model a moving object as a sizable physical entity equipped with GPS, wireless communication capability, and a computer such as a PDA and mobile phone for moving object tracking. Furthermore, we have observed that a real trajectory of a moving object is the result of interactions among moving objects in the system yielding Multi-points instead of a line segment. And we implement an open travel advisory service based on OpenLS(Open Location Services). In this paper, the new types and operations are integrated seamlessly into the moving object framework to achieve a relatively simple, consistent and powerful overall model for constrained and unconstrained movement using main memory DBMS. Keywords-Location Based Service(LBS); Moving Object;

ThumbUp : Dynamic updates of loT device applications for smart personalized services

Over the last few years, sensational improvements in the smart device ecosystem and a gradual evolution in wireless sensing systems have converged into the Internet of Things (IoT), which enables interconnection between various devices and provides intelligent services over the Internet. In the current IoT technology, a number of mobile smart devices have become attractive candidates as local mobile gateways or data consumers providing the capability to monitor the physical phenomena from IoT devices in various ways. In addition, both IoT and smart devices can lead to newly connected personalized services enabling users to collect and process locally connected sensing information to improve the quality of numerous applications. While the current IoT ecosystems make it feasible to form various services, in this work, we outline an essential technical challenge to practically enable personalized services. In this paper, we propose an efficient way to transfer and reprogram the binaries and meta information of IoT devices, which is called ThumbUp, a software framework and hardware architecture for supporting updates of IoT devices. This method, when adapted in a smart devices locally interconnected through various communication medium with devices, can be used as a practical updater for IoT.

Projecting household-scale utility usage: a case study using a long-term dataset

The deployment of advanced metering infrastructures allows suppliers and consumers to better understand the utility supply and usage chain. Data from these systems are typically used to analyse utility usage in a large scale, but when observed at smaller scales, we can enable a number of interesting new application. In this work we use utility usage data collected from 300 households over three years and perform detailed analysis to understand per-household utility usage patterns. We show that per-household utility usage data introduces high variances and low correlations among different households even if they are co-located in similar geographical regions. Using our findings, we introduce AUUP, an adaptive utility usage prediction scheme that combines the output from different existing forecasting schemes to adaptively make smart small-scale utility usage predictions. Our evaluations show that AUUP effectively reduces the prediction errors of artificial neural networks, LMS and Kalman filter-based AR model prediction schemes.