Sensibility information generally has various elements. To extract the time evolution of each component, we propose a partial differentiation of sensibility using the concept of partial differentiation. By this method, various sensibility information can be discretized and informatized. In this paper,...

The problem of crowd counting in single images and videos has attracted more and more attention in recent years. The crowd counting task has made massive progress by now due to the Convolutional Neural Network (CNN). However, filters in the shallow convolutional layer of the CNN only model the local...

In this study, a parallel wire-type teaching device with a force sensor and a hybrid position/force teaching and control method are developed to facilely teach robot manipulators using human hands instead of teaching pendants. A direct teaching method based on a hybrid position/force control is proposed...

The application of Internet of Things (IoT) has been widely used in our lives with the advancement of related software and hardware technologies. In order to make these IoT modules more intelligent, many IoT modules have begun to incorporate artificial intelligence algorithms. Therefore, this paper develops...

The missions of micro-satellites range from early military usages to weather forecast, resources exploration, communication, and scientific experiment. The advantages of micro-satellites are simple mechanical structures, great reliability, low prices, and precise researchers and equipment. Therefore,...

The cohesion is one of the design quality indicators in software engineering. The measurement of the value of cohesion is done by looking at the correlation between attributes and methods that are in a class. In Direct Distance Design Class Cohesion (D3C2) metrics, attributes, and methods are assumed...

Robots, such as industrial robots, have been used in the world of industry since the 1970s. There has been particularly rapid development in the field of robots in recent years, and there has been progress in robot research in industries such as communications and automobiles. For this reason, in the...

In Japan, it has been decided that programming education will be required in elementary schools from 2020. In the new study guidelines, new programming subjects will not be established, but programming will be handled within existing subjects such as mathematics and science. Therefore, it is desirable...

Pose estimation algorithms’ goal is to find the position and the orientation of an object in space, given only an image. This task may be complex, especially in an uncontrolled environment with several parameters that can vary, like the object texture, background or the lightning conditions. Most algorithms...

In order to solve the problem of inconvenience of the existing heart rate and oxygen detection device, a portable heart rate oximeter is proposed in this paper. The device can detect and display the value of the heart rate, temperature and blood oxygen of the human body at any time. The instrument gets...

The aim of the present study is to improve the understanding of the control engineering for university students through the experience of the control experiment, and hence an experimental device is developed. The students are educated the control engineering using the device, and the educational effect...

For developing a novel kind of entertaining football and football training, we developed a playware ball prototype. The ball contains a microprocessor with WiFi connection and uses barometric pressure sensors and accelerometer data to track the ball movement in fast-paced football training games. The...

In this paper, we introduce a network with sub-networks: a neural network whose layers can be detached into sub-neural networks during the inference phase. To develop trainable parameters that can be inserted into both base-model and sub-models, first, the parameters of sub-models are duplicated in the...

In recent years, research on computer vision has shown great advancement and has been applied to a wide range of fields. Among them, automatic recognition of human motion is an important technology especially in crime prevention and elderly watching systems. Considering this trend, the paper proposes...

Tracking the heritage building changes has been a primary concern in an architectural works, as the building features may transformed due to periodic of time. In addition, the perseverance of heritage buildings seems taken lightly due to the eagerness of the Malaysian architect in designing urban anxious...

This paper focuses on patterns of innovation and the R&D strategy of automobile companies for technological changes. Tushman and Anderson (1986) pointed out that there are two types of technological changes: incremental technological change and radical technological change. In particular, radical...

This paper shows Extended Place/transition Net with Attributed Tokens (EPNAT) and a modeling technique using it in order to address the problem of EPN. In software modeling using EPN, objects of which the software consists need to be defined individually as sub-EPN models, even if they have the same...

A miniature precision glass encapsulated electrical connectors introduced by glass powder and metal wires through a special complicated process. Aiming at the porosity defects on the surface, a defect detection algorithm propose based on threshold segmentation and feature extraction. Pre-operation, global...

Image-based geometric measurement is getting more attention in machine vision field due to its contact-less and low-cost characteristics. Here the measurement of single image with the rectangular structure is studied, in which only one side length of the rectangle is known, and the coordinates of points...

This study aims to explore the impact of the integration of computer-assisted language learning into traditional face-to-face English course on the learning effectiveness at Junior college in Taiwan. To achieve the above purpose, this study adopts the pre-experimental design with one-group pretest–posttest...

This paper presents a new Self-repairing Control System (SRCS) for plants with actuator failures. The proposed SRCS uses the well-known Izhikevich spiking neuron model as a fault detector. When the actuator fails, the neuron model is excited and then spikes occur. Thus, counting up spikes makes it possible...

The state of the art of mobile robot path planning is composed with global planner and local planner. For example, the global planner majorly establishes a suitable path from a knowing map based on the shortest path. And the local planner which computes the velocity command that includes obstacle clearance...

Identifying the key determinants of Michinoeki and assessing its impact on efficiency is considered as an urgent issue. Accordingly, this paper proposed a new approach to calculate the efficiency using DEA model after determining the significant factors using a regression model. The data were collected...

Ocean current refers to the relatively stable flow of the surface water of the ocean in a certain direction, and is the main regulator of the thermal environment on the surface of the earth. At present, the ocean current velocity detection at sea is basically a field measurement by a staff member in...

The paper presents the pilot test of the Moto Tiles Body & Brain Test combined with automatically generated individualized training protocols. The test is performed with seniors (avg. 80 years old) with mild dementia in senior care centers in Roskilde, Denmark. The seniors performed pre- and post-test...