Nawaporn Wisitpongphan

Wireless Sensor Network Planning for Fingerprint Based Indoor Localization Using ZigBee: Empirical Study

Technology defined by ZigBee standard is intended for a wide range of ad hoc wireless sensor network (WSN) applications. Among which is the location-aware services which can be applied to both indoor and outdoor environments for locating expensive equipments or tracking any moving objects. While there are many existing localization algorithms, the fingerprint technique which relies on determining target location from an off-line empirical database seems to be the most practical indoor solution using off-the-shelf products. In this work, we present a wireless sensor network planning solution suitable for indoor localization using fingerprint technique. Based on our extensive feasibility studies, we derived several network planning solutions which answer some of the key wireless sensor network design questions such as (1) where to put the router or anchor nodes?, (2) how many routers should we use in designing location-aware WSN?, (3) how often should the end-device node transmit data to the server?, (4) what should be a suitable packet size?, and (5) does mobility have any impact on the network performance?

Finding a Needle in a Haystack: A Map Matching Technique for a Very Large Map Database

This paper presents a technique used in finding a certain record from a very large database. In particular, we proposed a map matching algorithm used in finding the street names which correspond to a given GPS coordinate from a large set of Bangkok map database. The GPS and map data used in this research is provided by the TRAFFY project (Traffy.in.th) from the National Electronics and Computer Technology Center in Thailand. In order to increase the speed of a map matching process, we propose the use of quad priority queues in organizing the map database. More specifically, the main focus of this paper is on how to transform the map database and use coordinate offset to expedite the search time and improve the accuracy. The proposed solution can be applied in the current traffic report system.

ICT benefit realization for dairy farm management: Challenges and future direction

The success of ICT project cannot simply be measured by the successful system deployment with all functions implemented according to the specified requirements. It should, however, be measured by the benefit gained from having such a system. In this paper, we propose a benefit realization framework called Operation of Realizing Benefit in Information Technology (ORBIT). Since the framework focuses more on the users rather than the ICT system, it identifies key milestones, activities, and stakeholders that should get involved in each of the 4 phases in the ICT project life cycle, which includes planning, realization, exploration, and evaluation. Our preliminary results from applying the planning phase of the ORBIT framework in the extension service at Dairy Farming Promotion Organization of Thailand is the ICT Context Diagram (IC-Diagram) which illustrates possible infrastructure, technology, services, and devices that should be used for accessing the system in the project. The diagram is designed in such a way that stakeholders with no IT background such as farmers, executive managers, etc., can easily understand the project idea and be ready for getting involved in the realization phase.

Microscopic experimental evaluation of multi-hop video streaming protocol in vehicular networks

Most routing protocols in vehicular networks are geared toward supporting safety applications. In this paper, we shift our attention to study if short-range communication (DSRC or WiFi) could also support real-time video streaming applications for moving vehicles. Rendering real-time video streaming in vehicular network is a challenging task, since video streaming applications tend to have stringent Quality-of-Service (QoS) requirements while vehicle-level mobility and severe outdoor fading channel significantly affect route stability. We present a Quality-of-Service routing framework called multi-Criteria Ad hoc Real-time Streaming (CARS). This framework not only provides a multi-hop route that satisfies the stringent QoS requirements imposed by multimedia applications, but also is flexible enough to support a variety of applications with different types of QoS requirements. Moreover, our proposed routing framework accurately monitors network conditions and switches to a better route as the quality of the ongoing route significantly degrades. We further implement our CARS protocol into a small fleet of research vehicles and experiment the implemented protocol in realistic driving scenarios. We learn valuable lessons through empirical experiments and our first-hand experience helps develop a number of optimization policies to further improve performance.

Agile in public sector: Case study of dairy farm management projects

Agile software development approach seems to work well in an organization where processes change on a regular basis. Conversely, adopting Agile practice in public sector, where work procedures have to follow a well-defined processes, faces several challenges. In this paper, we investigated how Agile methods could be adopted for practice in a public sector context using two projects of different sizes and complexity as our case studies. Our results show that certain Agile methods were able to work well in a public sector with some additional procedures required, while the main challenges of applying Agile methods in public sector are the change request management and the procurement process.

CLUSTERING STOCK DATA FOR MULTI-OBJECTIVE PORTFOLIO OPTIMIZATION

Portfolio selection is a vital research field in modern finance. Multi-objective portfolio optimization problem is the portfolio selection process that results in the highest expected return rate and the lowest identified risk among the various financial assets. This paper proposes a model that can efficiently suggest a portfolio that is worth investing. First, a cluster analysis model is introduced in order to categorize a huge amount of stock data into several groups based on their associated return rate and the risk. Several validity indexes are used to select the optimal number of clusters/stocks to be included in the portfolio. Finally, the multi-objective genetic algorithm is used to build portfolio optimization with highest return rate and lowest risk. The proposed model is tested on the data obtained from the Stock Exchange of Thailand.

A Study on the Relationship between Search Engine Optimization Factors and Rank on Google Search Result Page

Nowadays, Google has taken a role as a major platform for the Internet search; its search algorithm has been changed periodically, hence being positioned on the first page of the Google search result has a tremendous impact on the online marketing strategy of the organization. Search Engine Optimization (SEO) has been considered as one of the most effective strategies to place the webpage at the top rank of the search engine result. This paper presents the relationship between various SEO factors and the rank in the Search Engine Result Page. The results unravel the key SEO factors, e.g. Backlinks, Keyword, Site structure, that have high degree of relationship with rank in the search engine result page (SERPs).