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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;...
Injuries and sudden illnesses are leading causes of mortality and disability worldwide. Pre-hospital Emergency Medical Service is the Medical service which focuses on helping the emergency patients from traumatic condition, preventing from disabilities and deaths, and associating the patients from severe condition to get the proper treatment on time. This could increase the survival rate dramatically...
Programming languages are the primary tools of the software development industry. As of today, the programming language of the vast majority of the published source code is manually specified or programmatically assigned based solely on the respective file extension. This work shows that the identification of the programming language can be done automatically by utilizing an artificial neural network...
In this paper, we propose 3 different machine learning techniques such as Random Forest, Bagging and Support Vector Machine along with time domain feature for classifying sleep stages based on single-channel EEG. Whole-night polysomnograms from 25 subjects were recorded employing R&K standard. The evolved process investigated the EEG signals of (C4-A1) for sleep staging. Automatic and manual scoring...
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...
The number of time that heart beats per one minute we call it as the heart rate or pulse. It is an indicator for monitoring health. In this paper, we present the Burn in Zone: Physical activity real-time heart rate monitoring, a novel model to help people who prefer to have a more physical activity to continue their intention in the long term. We were mainly interested in real-time heart rate monitoring...
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...
This paper presents a solution to classifying sentences with multi-labels. This problem is an essential part to a semantic search process. Sentences or keywords with correctly automated labelling can enhance the efficiency and performance of the search. The technique introduces a vector space of relevance for keywords and sentences with necessary operations. Concepts and motivation are explained with...
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...
Crossover methods are important keys to the success of genetic algorithms. However, traditional crossover methods fail to solve a trap problem, which is a difficult benchmark problem designed to deceive genetic algorithms to favor all-zero bits, while the actual solution is all-one bits. The Bayesian optimization algorithm (BOA) is the most famous algorithm that can solve the trap problem; however,...
This work demonstrates how generalization ability can be integrated into a neural network model of mental rotation. The model was validated with a physical humanoid robot, the iCub, as simulated participants. The results confirm that the proposed model is capable of solving a mental rotation task consisting of a number of unseen stimuli. Furthermore, characteristic of response time profiles and error...
Ocean surface current prediction is at the core of various marine operational routines, including disaster monitoring, oil-spill backtracking, sea navigation and search-and-rescue operations. More accurate prediction can yield significant improvement to the overall system. Most existing short-term prediction methods applied numerical models based on physical processes. In this paper, we propose an...
Nowadays, recorded videos from surveillance cameras are important evidence for legal investigation in the field of forensic science. Videos may be modified to deviate contents by a person involves in a crime. In this paper, a video editing detection based on Scalable Color Descriptor (SCD) and Color Layout Descriptor (CLD) is proposed. The detection method is composed of two components: (1) generating...
Nowadays documents in form of printout are widely used. There are many attacks such as forgery that make the document unreliable. Some research studies a technique to make the document verifiable even though some contents are intentionally modified. Moreover, the problem of large amount of verification data causes limited use. This study proposes the method to make the printed document more reliable...
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