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In this paper, we propose a novel pseudo-random beamforming (BF) technique in multi-cell downlink networks consisting of multiple base stations (BSs) and one BS coordinator. In the proposed technique, each BS first generates M BF matrices with a pseudo-random manner and each mobile station (MS) opportunistically feeds back the received signal-to-interference-and-noise (SINR) ratio for each random...
Recently, a micro-service architecture has been adopted to an edge device in smart factory due to its maintainability and scalability. In the architecture, all services are generally implemented as Docker containers and deployed by Docker APIs which might be harsh to a factory operator. In this paper, we propose an easy-to-use web-based service deployment method for containerized service to in-factory...
Wireless network users are increasing vastly in present days and the data traffic in mobile communications systems is increasing explosively too. To cover maximum user with limited radio resources and to provide high quality of service (QoS) to the user, a fractional frequency reuse (FFR) techniques have been proposed for hybrid cellular wireless network. A femtocell can provide high-quality services...
Innovative wellness gadgets are the products of convergence of science and technology in this dynamic digital era. It has not been possible before to provide just-in-time intervention to avoid unhealthy behavior. The change in behavior requires the understanding of the behavior theories and then practical implementation of the stages. Transtheoretical model supports to identify the stage of human...
The methods of collaboration have become diverse as applications of cloud-based distributed collaborative design increase. Participants in collaborative work must access various kinds of information frequently. The information must be convenient to access and shared securely. This is because, in a highly competitive global industry, business competitiveness is influenced by the information. The existing...
Recently many industries and companies are developing machine learning algorithms and services, and they are publishing them on the internet. However, because most of people who want to use the machine learning services to analyze data are familiar with sheet data rather than programming language, it is difficult to use those services written in programming language. For the reason, we developed a...
This paper describes intelligent operation monitoring IoT tags for factory legacy device. These days factory devices almost contain monitoring system in network. But there are lots of legacy devices which do not support any monitoring sensors and network system yet. The intelligent IoT tag contains 4 types of sensors; three dimensional accelerometer, thermometer and humidity sensor. Accelerometers...
This paper proposes a reliable MAC protocol for a fully distributed Vehicular Ad-Hoc Network (VANET) using the slot states sharing scheme. Recently, technology for reliably transmitting safety messages in VANET has become an issue. With VANET (operating on the IEEE 802.11p standard), as the number of vehicles increases on the highway, the network traffic also increases. It causes more frequent packet...
With the increase in population and automobiles, the traffic jam in urban areas is becoming a critical issue. These traffic jams especially at the intersections not only increase the delay for drivers, but also increase fuel consumption and the air pollution. The fixed-time traffic light controller is one of critical factors that affect the traffic flow at intersections. This paper proposes a new...
In this paper, we present a discussion on the congestion control for machine type communications (MTC) in long term evolution (LTE). A huge number of devices and the bursty nature of their packet arrival pattern are two important features of MTC and pose a challenge to the random access procedure of LTE. Access barring which consists of two types, access class barring (ACB) and extended access barring...
In this paper, we describe a method of frequency-hopping signal detection, which is one of the methods of spread spectrum, by time-frequency analysis. Since the frequency hopping signal is a non-stationary signal, the signal changes very quickly. Therefore, time-frequency resolution is very important for detecting such non-stationary signals. The method considered in this paper is a spectrogram and...
This work considers the social link prediction problem in the human community. Since mobile phones with the support of wireless technologies have become an integral part of human life, mining the traces of mobile devices can help us to understand the community structure in the social network. Therefore, an encounter-based link prediction method in which we try to analyze the social relationship between...
In this paper, a low-profile ferrite loaded conical antenna operating in the VHF/UHF band for UAV (Unmanned Aerial Vehicle) platform is proposed. The proposed antenna is consist of conical radiator and cylindrical ferrite. The substrate of conical radiator is made up of Acrylonitrile Butadiene Styrene to reduce weight of the antenna. The cylindrical ferrite is employed to improve the gain of the antenna...
With the rapid growth of smart devices such as smartphones, tablets, and laptops, traffic demands in IEEE 802.11 wireless local area networks (WLANs) has been increased exponentially. To meet the demand, in recent years, numerous access points (APs) have been deployed in many places such as residential areas, shopping malls, airports, office and campus buildings. As the density of 802.11 WLAN increases,...
Sensors in industrial systems fault frequently leading to serious consequences regarding cost and safety. The authors propose support vector machine-based classifier with diverse time- and frequency-domain feature models to detect and classify these faults. Three different kernels, i.e., linear, polynomial, and radial-basis function, are employed separately to examine classifier's performance in each...
State-of-the-art sensing methods only exploit three dimensions of the spectrum space: frequency, time and geography whereas the angle dimension, that is, spatial spectrum sensing has not been exploited well enough. In this paper, we apply the multiple signal classification (MUSIC) Angle of Arrival (AoA) estimation method into spectrum sensing. Note that MUSIC method needs to know the number of signals,...
Listening to music can reduce stress. This research is to study the development of music mood application called DeMuse. It mainly concerns with the users' favorable and recommended music genre. In addition, DeMuse will be presented in health and fitness category of mood music based mobile application. In order to complete DeMuse, it will carry out the identification of the features for the particular...
In this paper, we propose an AODV-based routing mechanism that can provide seamless data delivery service from a streaming server to a vehicle on a highway where road side units (RSUs) are dispersedly placed and the coverage area of each RSU is limited. AODV is an on-demand routing protocol for MANET and does not suit well to this type of communication environment. Therefore, in this paper, we figure...
In this paper, we introduce seven emotions and positive and negative emotion recognition methods using facial images and the development of apps based on the method. In previous researches, they used the deep-learning technology to generate models with emotion-based facial expressions to recognized emotions. There are existing apps that express six emotions, but not seven emotions and positive and...
Recently, in addition to orthodontic for correction of snaggletooth and malocclusion, orthodontic for enhancing facial aesthetics is also gaining interest. There is Nasolabial Angle as a criterion to judge the esthetics of the face. When the nasolabial angle is smaller than the standard, it is often judged as a bimaxillary protrusion. In this paper, we propose a system to calculate the nasolabial...
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