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    Efficient bitstream compression using historical-based grouping and size-based coding rearrangement
    ( 2009) Thotsapon Sortrakul ; Wuthikrai Tharachatr
    Data storage becomes one of the important factors for most of large enterprises in increasing the cost, chip area, and dissipation. Large enterprises usually create redundancy of repeated digital messages through communication and documentary. In order to minimize these kinds of redundant bitstream, this paper presents a novel algorithm for lossless data compression by developing Historical-Based grouping and Sized-Based Coding Rearrangement approaches to reduce the code size used in compress redundant data flows. The Historical-Based grouping technique improves efficiency of data compression by implementing knowledge-based dictionary that is adaptive and can analyze the existing text coding with the incoming text by considering frequency of same text that has been compresses. In this case, if a compressed text besides that particular compressed text is the same, then this algorithm will group them into a "phase" by using just a particular compression code or symbol to identify that phase. This technique can also efficiently reduce compressed data size by extending a particular compression text length from "word" to "phase", from "phase" to "sentence", from "sentence" to "paragraph", indefinitely depended on repetition of the same binary patterns and amount of available memory allocated to store it. This technique is also able to group various groups of duplicated texts into a single code if those text groups are located in the same text area, same length of space between groups of texts, and set special symbols to link among each group of texts if space lengths are not the same. The objective of this technique is to analyze the historical coded data to minimize the coded size either to group or not to group the same binary patterns based on their frequencies. However, coding of the same binary patterns by using only the knowledge-based dictionary approaches might not be able to efficiently minimize the compressed patterns since frequencies of specific patterns are different. The data that being encoded should be frequency-based analyzed and grouped as long as possible by using historical-Based Grouping approach, then the compressed output should be rearrange based on their coding sizes and text lengths in which the result of total bit size should be concerned and minimized. Normally, longest or mostly-use coded text should be matched with the shortest code or symbol to ensure that every codes are efficiently utilized and total memory space requirement for that particular file is minimized.
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    An integral equation model for a binary fission process
    ( 2010) Winley, Graham K.
    A new probabilistic modeling approach is used to describe the transient and stable stages of growth of a population consisting of viable cells and vegetative cells. Viable cells are capable of division at the end of a random life-time (generation time) and when a cell divides it produces exactly two newborn cells. On average, at time t, α(t) of these two newborn cells are viable cells and 2 - α(t) are vegetative cells, which do not divide at any time. The model is developed by modifying the integral equation used by demographers to study the growth of human populations. The solution of the model is studied using various biologically plausible assumptions concerned with the inputs α(t) and the probability distribution of the generation time and comparisons made with other modeling approaches indicate that the new model is easier to formulate and analyze, provides a more complete analysis, and enables the incorporation of assumptions concerning environmental and internal cell factors that influence the production rate of viable cells.
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    Hybrid Technique and Competence Preserving Case Deletion Methods for Case Maintenance in Case-Based Reasoning
    ( 2010) Lawanna, A. ; Daengdej, J.
    Case-Based Reasoning (CBR) is one of machine learning algorithms for problem solving and learning that caught a lot of attention over the last few years. In general, CBR is composed of four main phases: retrieve the most similar case or cases, reuse the case to solve the problem, revise or adapt the proposed solution, and retain the learned cases before returning them to the case base for learning purpose. Unfortunately, in many cases, this retain process causes the uncontrolled case base growth. The problem affects competence and performance of CBR systems after few runs. This paper proposes two case maintenance methods; the first method is Hybrid technique which combines case addition strategy and the footprint deletion and footprint utility deletion strategy and the second is competence-preserving case deletion technique which is consisted of four steps: determine a set of target problems, determine a candidate of cases , determine target problem and its candidate, delete less relevant cases.
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    Using the students-as-customers concept in technology disciplines: students' perspectives
    ( 2010) Boonlert Watjatrakul
    Educational institutions increasingly adopt the students-as-customers concept to satisfy their students. Understanding students’ perspectives on the use of this business concept in educational institutions is necessary for the institutions to effectively align these perspectives with their management practice. The study investigates whether students in technology and business disciplines have significantly different attitudes toward using the students-as-customers concept in educational institutions and explores the impact of treating students as customers in technology disciplines under students’ perspectives. The results from quantitative and qualitative data analyses show that technology students, in contrast to business students, fairly disagree with educational institutions to treat students as customers. Treating students as customers in technology disciplines will have a negative influence on teaching performance, instructor-student relationships and educational institutions’ aim, but a positive influence on service quality in educational institutions. The paper discusses the findings and concludes with implications and limitations of the study.
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    ไตรมาสแรกของปี พ.ศ. 2553 เศรษฐกิจของโลก เสมือนจริงมีมูลค่ากว่า 5,300 ล้านบาท
    (window IT Pro Magazine, 2010-09-13)
    บทความเรื่อง "ไตรมาสแรกของปี พ.ศ. 2553 เศรษฐกิจของโลกเสมือนจริงมีมูลค่ากว่า 5,300ล้านบาท" โดย ศ.ดร. ศรีศักดิ์ จามรมาน รองอธิการบดีฝ่ายเทคโนโลยีสารสนเทศ มหาวิทยาลัยอัสสัมชัญ
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    Creatinine prediction from body composition a neural network approach
    ( 2011) Thitipong Tanprasert ; Chularat Tanprasert
    Creatinine, a naturally-produced chemical compound in blood, has been commonly used as a reliable indicator of kidney function. Creatinine level is typically obtained from blood-test. In this paper, a technique for predicting the criticality of creatinine level in blood is presented. The proposed technique takes only body size and mass parameters obtained from advanced weighing scale and body scanner, allowing the prediction to be done more casually. The technique applies a multi-layered feed-forward neural network for developing the prediction model. The achieved overall prediction accuracy is in the vicinity of 88% where the average false negative rate and the average false positive rate are 22.15% and 8.26%, respectively.
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    อีบุ๊ก
    (Daily News, 2011-07-22)
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    The Adoption and Use of ICT in Thailand and Vietnam
    ( 2012) Winley, Graham Kenneth ; Lau, Sim Kim
    This exploratory study compares the adoption and use of ICT in the developing nations of Vietnam and Thailand by examining the nature and structure of the IT profession in medium to large size organizations. A theoretical framework is used with three related components: domains of IT professional expertise; the scope of the IT professional’s knowledge, skills, and experience; and specific knowledge and skills associated with the domains of professional expertise. The findings provide insights that are not found in existing reports which address ICT issues at a national rather than an organizational level. In particular, findings concerned with the first two components of the framework for both nations are compared to predictions about the adoption and use of ICT in organizations in technologically developed nations.
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    Experimental Analysis of Performance Comparison on Both Linear Filter and Bidirectional Con dential Technique for Spatial Domain Optical Flow Algorithm
    ( 2013) Darun Kesrarat ; Vorapoj Patanavijit
    Optical flow is a method for classifying the density velocity or motion vector (MV) in a degree of pixel basis for motion classification of image in video sequences. In actual situation, many unpleasant situations usually generate noises over the video sequences. These unpleasant situations corrupt the performance in efficiency of optical flow. In turn to increase the efficiency of the MV, this research work proposes the performance comparison on linear filter and bidirectional confidential technique for spatial domain optical flow algorithms. Our experiment concentrates on the 3 classical spatial based optical flow algorithms (such as spatial correlation-based optical flow (SCOF), Horn-Schunk algorithm (HS) and Lucas- Kanade algorithm (LK)). Different standard video sequences such as AKIYO, CONTAINER, COASTGUARD, and FOREMAN are comprehensively evaluated to demonstrate the effectiveness results. These video sequences have differences in aspect of action and speed in foreground and background. These video sequences are also debased by the Additive White Gaussian Noise (AWGN) at different noise degree (such as AWGN at 25 dB, 20 dB, and 15 dB consequently). Peak Signal to Noise Ratio (PSNR) is utilized as the performance index in our observation.
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    The Impact of Internet Banking Service on Customer Satisfaction in Thailand: A Case Study in Bangkok
    ( 2013) Rangsan Nochai ; Titida Nochai
    The purpose of this study was to find the internet banking service dimensions that will have the impact on customer satisfaction among top three banks in the Bangkok area: Bangkok Bank, Kasikorn Bank and Siam Commercial Bank. Questionnaires were used to collect data from 450 respondents by using quota sampling. Multinomial logistic regression analysis was employed to obtain the important internet banking service dimensions that have the impact on customer satisfaction. Results showed that providing 24hours-7days service, completing a task accurately, contacting staff to check immediately, providing accurate information & up to date, transaction process is fast, and providing online registration times were the important factors that have the impact on customer satisfaction.
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    Intention to Use a Free Voluntary Service: The Effects of Social Influence, Knowledge and Perceptions
    ( 2013) Boonlert Watjatrakul
    Purpose – This empirical study aims to understand the interrelationship among the key technology adoption factors including social influence, individual existing knowledge, and individual perceptions of technology (i.e. usefulness, ease of use, and enjoyment) and their effects on individual intention to use a free voluntary service. Design/methodology/approach – The survey method is employed to collect data from universities offering the free mobile messaging service. A structural equation modeling analysis technique is used to analyze data reliability and validity in the measurement model and examine causal relationships among the constructs in the structural model. Findings – The results show that social influence affects individual knowledge and perceptions of the service (perceived usefulness, perceived ease of use, and perceived enjoyment) and successively influences the individual intention to use the free voluntary service. This study indicates that the intrinsic value of perceived enjoyment has a greater impact than the extrinsic value of perceived usefulness in terms of its effect on individual intention to use a free voluntary service. In addition, the effect of perceived usefulness of alternative systems should be taken into account when using perceived usefulness from the technology acceptance model to predict individual’s technology adoption decisions under the free voluntary setting. Originality/value – This study fills the gap in the technology adoption literatures regarding the free voluntary service adoption based on social influence, individual knowledge, and individual perceptions of technology. It assists academics to understand the drivers of technology acceptance under the free voluntary setting and provides guidance for organizations to increase users’ acceptability of their free voluntary services.
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    MEMS Technology for Optical Switching
    ( 2013) Kornkamol Thakulsukanan
    Over the last ten years, microelectromechanical systems (MEMS) devices have received attention in many application areas such microwave, wireless, and optical networks. Especially in optical networks, MEMS technology is employed to provide the advantages of large switch matrix size with low loss at an optimum cost [1,2]. Therefore, optical switches based MEMS technology are now widely used and are considered a good option for optical switching networks. Moreover, they also provide wavelength insensitivity, polarization insensitivity, scalability, and very low crosstalk [3-5]. MEMS optical switches provide fast switching speeds ranging from milliseconds to several hundred microseconds. In this article, MEMS-based optical switches are reviewed including their advantages and disadvantages.
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    An Empirical Study about the Role of Personality Traits in Information Technology Adoption
    ( 2014) Tipa Sriyabhand ; John, Surej P.
    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 positively and significantly influenced social networking behavior. The results also reveal that neuroticism and conscientiousness are negatively associated with social networking behavior. The results of the study will help the marketers to identify target segments and implement communication tools more effectively over social networking sites.
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    An Overview of Digital Trunked Radio: Technologies and Standards
    ( 2014) Kunagorn Kunavut
    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 trunked radio system, analog trunked radio is going to be obsolete since digital trunked radio offers better functions and features in terms of voice quality, security, spectrum efficiency and cost. Hence, the commercial applications focus on the digital one. There are many digital trunked radio technologies lunched in the market. However, in this paper, only Terrestrial Trunked Radio (TETRA), Project 25 (P25) and Digital Mobile Radio (DMR) are discussed and compared since they are developed and standardized by international standards organizations. Moreover, these technologies are chosen by many users/operators and mostly deployed in many regions across the world.
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    An Overview of Cell Zooming Algorithms and Power Saving Capabilities in Wireless Networks
    ( 2014) Tun, Khin Cho ; Kunagorn Kunavut
    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 hours.Meanwhile dynamic cell zooming algorithms are applicable in full-day operation and they are useful not only for power saving but also for load balancing. However, on/off switching delay, signalling overhead due to traffic information exchange and how to attain information of traffic spatial distribution are existing challenges in dynamic cell zooming algorithms. One noticeable point is that relative power saving in dynamic cell zooming algorithm is less than 50% if traffic spatial distribution is considered. Since location management (LM) was designed for effectively servicing to customers, further researches could lead to work on location management (LM) based cell zooming algorithms for both effective servicing and energy saving.
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    Vendor Selection Strategy for IT Outsourcing: The Weighted-Criteria Evaluation Technique
    ( 2014) Boonlert Watjatrakul
    Purpose – Most firms select their information technology outsourcing (ITO) vendors based on the two methods of the weighted-criteria evaluation technique – the “qualification score plus the lowest bid price for the highest price score (QS-LBHPS)” and the “qualification score plus the average bid price for the middle price score (QS-ABMPS).” This paper aims to understand whether these two methods provide the same or different results of vendor selection and how the proportional weights of a vendor’s qualification and bid price affect the vendor selection results under the two methods. Design/methodology/approach –In total, 1,000 experimental tests were carried out using the developed spreadsheet template to examine vendor selection results of the two methods (QS-LBHPS and QS-ABMPS) and compare the vendor selection results under three conditions of vendors’ qualification and price weights. A correspondence analysis was also used to determine the proximal relationships among the selection results of the weighted criteria technique under the comparable methods. Findings – The results indicate that, when using the two methods of the weighted criteria technique for a vendor selection, the selection results are significantly correspondent. In addition, the proportions of qualification and price weights affect the selection results under the two methods. The different proportions of qualification and price weights under the two methods yield the same selection results rather than different results. Originality/value – This study fills the gap in ITO literatures concerning the vendor selection strategy. No empirical studies have been undertaken to compare the results of vendor selection under the two methods of the weighted-criteria evaluation technique. The findings enable a firm’s selection team to apply the weighted-criteria evaluation technique effectively and realize that vendor selection results are altered based on the predefined proportions of qualification and price weights.
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