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The Internet of Things (IoT) is a vision which real-world objects are part of the internet. Every object is uniquely identified, and accessible to the network. There are various types of communication protocol for connect the device to the Internet. One of them is a Low Power Wide Area Network (LPWAN) which is a novel technology use to implement IoT applications. There are many platforms of LPWAN...
Microservices need to communicate via inter-service communication mechanism. This leads to service integration that requires the aspect of messaging and event handling to be considered during the specification of microservices. Therefore, the application of Enterprise Integration Patterns (EIP) in the context of the design of microservice architectures seems to be a promising approach for microservice...
This paper proposed real-time lane detection system for automotive application based on field programmable gate array (FPGA). The proposed system has two main. The first one is pre-processing with statistic and blob detection, and the second one is real-time lane detection algorithm. To meet real-time system, using the simple algorithm on a clear image by pre-processing. Experiments and comparisons...
This paper has proposed a formal verification of ABAP by Z specification. An ABAP programming language is used to create a customized program in SAP ERP. The program must satisfy a business requirement. It likely has a defect from the developed program. Since a specification is created as the business requirement and a program should have functioned as in the specification, the formal verification...
Caller ID has been used to tell the recipient who is calling before answering the call. In fact, nowadays using just Caller ID is not enough to proof the real caller since there are several ways to manipulate the caller identity. There are number of solutions to proof the caller e.g. using Time base, SMS base, or hardware. Even using DSA and CA, it can lead to data leak or inconsistent verification...
Big data is a popular topic on cloud computing research. The main characteristics of big data are volume, velocity and variety. These characteristics are difficult to handle by using traditional softwares and methods. Hadoop is open-source framework software which was developed to provide solutions for handling several domains of big data problems. For big data analytic, MapReduce framework is a main...
Dependence-maximization clustering is another line of clustering framework, which clusters samples by maximizing the statistical dependence on samples in the same group. Recently, dependence-maximization clustering method based on least-squares quadratic mutual information (LSQMI), called LSQMI based clustering (LSQMIC), was proposed. A notable advantage of LSQMIC over other dependence-maximization...
This paper presents principles and techniques of a human gesture recognition algorithm for person identification which identifies personal gait patterns recorded with a 3D depth sensing camera, in this case the Microsoft Kinect® version 2. The recorded images are analyzed against a dataset of gait gestures derived from a sample of 37 people. We compared two algorithms for analyzing movement trajectories;...
This research focuses on improving business process worked under workflow simulation. In the business process, there are several properties to be considered such as person, cost, time. The current workflow simulation cannot combine these properties to simulate the situation for business decision making. In this paper, the improving business workflow simulation is proposed by adding the business properties...
In software development, requirements, normally written in natural language, are documents that specify what users want in software products. Software developers then analyze these requirements to create domain models represented in UML diagrams in an attempt to comprehend what users need in the software products. These domain models are usually converted into design models and finally carried over...
This paper presents design and implement of fiber to the home (FTTH) for residential condominium based on Gigabit-capable passive optical network (GPON) ITU-T G.984 standard in order to achieve the maximum 320 subscribers and support high bandwidth for triple play service more efficiently. The proposed design complies both with power budget and rise time budget standard. Finally, the proposed design...
Segmentation of the optic nerve head or optic disc in digital retinal fundus photographs is a non-invasive procedure that plays an important role in early detection of abnormalities of the eyes, particularly glaucoma diseases. Developing an automatic system, we employ image processing techniques coupled with graph cut algorithms from combinatorial optimization. Avoiding the need of manual pre-segmentation...
Measuring area of tumor in human's brain from only single image may provide incorrect information for further diagnosis. Generally, a doctor or an expert must examine a brain tumor from several sequential MRI images to conclude its size or the severity level of patient's illness. To imitate the way a doctor diagnosing such case in a real situation, some digital image processing techniques are proposed...
More than 5% of Thai people have strabismus. Strabismus is known as cross-eyed or wall-eyed because the visual field angle of two eyes is not parallel. The amblyopia disease is the cause of strabismus in kids. Strabismus can be completely cured if the strabismus screening can be made in early stage. Currently, strabismus screening includes methods such as Hirschberg test, cover test and Krimsky test,...
This paper proposes an image analysis method for separating abnormal regions caused by nutrient deficiencies on plants' leaves. The proposed method analyzes a histogram of normal leaves' colors to identify abnormalities on leaves. It can be divided into three main steps. Firstly, color features of leaf region in an input image are computed. Secondly, for each pixel, its color features are compared...
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