Recent Submissions

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    International conference on entrepreneurship and sustainability in the digital era (ICESDE) 2018 

    Assumption University. Graduate School of Business (Assumption University of Thailand, 2018)
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    A study on the Impact of e-Commerce on SMEs in Thailand 

    John, Varughese Kizhakkacharuvil; Asawin Wichayachakorn; Nithiphong Vikitset (2018-06-26)

    Business-to-consumer (B2C) e-Commerce is the focus of this study with special emphasis to its impact on small-and-medium enterprises or SMEs in Thailand. The impact is investigated in two perspectives – the economic impact and the social impact- where the former is concerned to the firms in terms of increase in its profitability and operating efficiency and the latter is related to the society in general imparted by the firm in terms of employment created. The study further investigated the penetration of e-Commerce (B2C) among consumers o...
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    An Empirical Study about the Role of Personality Traits in Information Technology Adoption 

    Tipa Sriyabhand; John, Surej P. (2014)

    This paper investigates the relationship between personality traits and their Information Technology (IT) adoption. The study used the Five Factor Model (FFM) to assess the personality of individual users who adopt social networking technologies using their mobile devices. This research is conducted among 320 social networking users in Thailand. Based on the theoretical background of Technology Acceptance Model (TAM) and FFM, a conceptual model is developed and empirically tested. The study found that extraversion, agreeableness are posi...
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    Potential Z-Fighting Conflict Detection System in 3D Level Design Tools 

    Pisal Setthawong (2015)

    Z-Fighting is an effect that happens in 3D scenes when two co-planar surfaces share similar values in the z-buffer which leads to flicking and visual artifacts during the rendering process due to conflicting order of rendering the surface. However in 3D level design, scenes created by the tools can be complex, in which level designers can inadvertently place co-planar surfaces that would be susceptible to z-fighting. Level designers typically notice the z-fighting artifact through visual inspection through the usage of a 3D walkthrough t...
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    Optimizing Player Throughput for Interactive Motion Based Kiosk Games – A Case Study from the PTT Technobots Campaign 

    Pisal Setthawong (2015)

    Maintaining booths that are attractive to exhibition attendees is one of the main goals of exhibitors. One of the popular tactics to attract attention is to utilize new and emerging technology to create fresh new types of interactive booths, in which motion-based kiosk games are gaining popularity in this domain. However motion-based kiosk games are usually designed using conventional computer game design principles and are not optimized for exhibitions which results in a low player throughput. This paper examines the issues behind conven...
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    Domain-oriented two-stage aggregation: generating baseball play-by-play narratives 

    Baldwin, James; Songsak Channarukul (2015)

    This paper presents an end-to-end natural language generation system that performs aggregation in two stages: the first takes advantage of the information implicit in the source knowledge base in order to aggregate event components into complex sentences. The second stage examines the developing context of the text in order to aggregate similar adjacent events into more fluent text. The source knowledge base is the Retrosheet collection of play-by-play baseball scoresheets encoded in machine-readable form. The output is reasonably flue...
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    Alternating Least Squares with Incremental Learning Bias 

    Aung, Than Htike; Rachsuda Jiamthapthaksin (2015)

    Recommender systems provide personalized suggestions for every individual user in the system. Many recommender systems use collaborative filtering approach in which the system collects and analyzes users' past behaviors, activities or preferences to produce high quality recommendations for the users. Among various collaborative recommendation techniques, model-based approaches are more scalable than memory-based approaches for large scale data sets in spite of large offline computation and difficulty to update the model in real time. In this pa...
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    Feature Envy Factor A Metric for Automatic Feature Envy Detection 

    Kwankamol Nongpong (2015)

    As a software system evolves, its design get deteriorated and the system becomes difficult to maintain. In order to improve such an internal quality, the system must be restructured without affecting its external behavior. The process involves detecting the design flaws (or code smells) and applying appropriate refactorings that could help remove such flaws. One of the design flaws in many object-oriented systems is placing members in the wrong class. This code smell is called Feature Envy and it is a sign of inappropriate coupling and ...
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    The Effect of Transmission Range in Multi-hop Wireless Networks 

    Kunagorn Kunavut (2014)

    Transmission or communication range is an important factor for successful data delivery in wireless communications including multi-hop wireless networks. Typically, transmission range can be technically adjustable by configuring the transmitting power (Tx Power) or changing the antenna height. For the same antenna height, if transmission range is minimized or adjusted to be shorter by lowering Tx power, there is less energy consumption but the networks are likely to be unconnected which consequently degrades the network performance such...
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    Performance and Comparative Analysis of Energy Consumption for Mobile Ad Hoc Routing Protocols 

    Kunagorn Kunavut (2014)

    Mobile ad hoc networks are energy-constrained networks, nodes in these networks are usually mobile and they are typically implemented in the specific areas where electrical power source is not available. Thus, the operations of these nodes must only rely on battery power or other exhaustible sources of energy. In addition, most of power in each node is required for communication with other nodes or gateway connected to the wired networks, this usually includes transmission of data and control overhead generated by ad hoc routing protoco...
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    Performance Evaluation of Dynamic Cell Zooming Algorithms in Omni-directional and Sector-based Cells 

    Tun, Khin Cho; Kunagorn Kunavut (2014)

    This paper evaluates and highlights the performance of three dynamic cell zooming algorithms applied in both omni-directional and sector-based networks. A possible framework compatible with dynamic cell zooming algorithms for user’s location detection is presented. The performance of each cell zooming algorithm is simulated in terms of power saving and possible outage in a full-day operation. According to simulated results, there is no significant difference between the performance of each algorithm and others at low traffic hours, but...
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    An Overview of Digital Trunked Radio: Technologies and Standards 

    Kunagorn Kunavut (2014)

    Land Mobile Radio (LMR) refers to the two-way radio communication system that allows users sharing the same range of frequency to communicate with the others. LMR can be roughly classified into two main systems which are conventional and trunked radio systems. In conventional system, a frequency band is permanently dedicated to a voice channel. However, using trunked radio system can increase the spectrum efficiency by having pool of frequencies which are temporarily assigned to a group of users called talk group only when required. In tru...
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    An Overview of Cell Zooming Algorithms and Power Saving Capabilities in Wireless Networks 

    Tun, Khin Cho; Kunagorn Kunavut (2014)

    Cell zooming has emerged as a potential strategy to develop a green communication system in our society and it has become an essential research area of wireless communication. Aiming to highlight the trend of existing cell zooming algorithms and their power saving capabilities, this paper reviews a number of cell zooming algorithms that have been proposed in the literature. Static cell zooming algorithms are effective for off-peak hours and their maximum power saving capability is 50% since off-peak duration is typically not more than 12 h...
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    Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks 

    Tun, Khin Cho; Kunagorn Kunavut (2015)

    Continuous cell zooming algorithm is a potential dynamic cell zooming algorithm for energy-efficient operation of mobile wireless networks. In this algorithm, location management strategy (location update process) is required to know the location of the farthest user in each cell to perform cell zooming. However, the application of conventional periodic update scheme in continuous cell zooming algorithm can lead to a high signaling cost. Therefore, in this paper, two adaptive location update schemes, namely, Time-Adaptive Periodic Upda...
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    License Plate Extraction and Recognition of a Thai Vehicle Based on MSER and BPNN 

    Tao, Hong; Gopalakrishnan, Anilkumar Kothalil (2015)

    The extraction and recognition of a Thai vehicle license plate based on Maximally Stable Extremal Regions (MSER) and Back-Propagation Neural Network (BPNN) is presented. The license plate area is in a maximally stable extremal region of a car image. It can be effectively extracted from MSERs by multiple classifications. The feature extraction of characters from the license plate is based on Zernike moment. The feature is used as a training dataset for the BPNN to recognize the characters. The experimental results indicate that the propo...
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    A Collaborative Filtering Recommendation Based on User Profile and User Behavior in Online Social Networks 

    Lu, Yang; Gopalakrishnan, Anilkumar Kothalil (2014)

    This paper aims to present and discuss the similarity among users in a social network based on CF (Collaborative Filtering) algorithm and SimRank (Similarity Based on Random Walk) algorithm. The CF algorithm used to predict the relationship between users based on the user rating on items (movies and books) and the user’s profile. The SimRank algorithm calculates the similarity among users through finding the nearest neighbors for each user in the social network. At last, the combination of these two algorithms will be used to get “peopl...
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    Enhanced Fuzzy-based Handover Decision System Design for Wireless Mobile Networks 

    Thanachai Thumthawatworn; Piyakul Tillapart; Pratit Santiprabhob (2015)

    Numerous fuzzy-based algorithms have been suggested to enhance the intelligence of handover decision system for wireless mobile networks. However, most existing algorithms are based on a monolithic fuzzy engine design resulting in a large algorithm execution time, if a number of decision parameters is large and gives a poorer network selection performance, when dealing with different traffic types. In this paper, an enhanced fuzzy-based handover decision system design is proposed to address the above issues. The proposed design is prese...
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