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In this research, an intelligent lithium-ion battery-charging management system is proposed. The system integrates the battery monitoring and balance platform (BMBP) and charging station. According to the battery information of BMBP and the user needs, a proposed dual charging method (DCM) is used to control the charging voltage or current of charging station. The DCM contains the rapid and the smart...
The administration of hot spring in Taiwan has collected and checked the data of hot spring level these years. Unique temperature and quality of the hot spring usually caused the device recorded and missing data. The data analysis used the gray theory in order to supplement the data of hot spring level.
Stroke is the primary cause of serious long-term disability in the world. A long period of a rehabilitation program is required for those patients with the function loss of upper limb motor. In order to track the progression of the rehabilitation, the approaches to assessment of upper limb performance is the important task to evaluate the effectiveness of therapies. However, the typical assessment...
Coffee is Rwanda's main source of income, thus improving processing and monitoring has a large potential economical impact, we are introducing low-cost sensor Technology, by utilizing embedded system to monitor coffee washing station processing method and store centers, the system will be reporting the status of PH, moisture, temperature and humidity as basic information to keep the standard quality...
The particle pollution around China & Taiwan has become an increasing fatal problem at recent years. Facing such critical issues, the governance of both must give priority to dealing with their people health crisis as soon as possible. In spite that the more and more particle detective devices are developed and delivered into market to people recently. But the fundamental solutions should be focused...
The Routing applications are popular in Wireless Sensor Networks (WSNs). For a practical monitoring environment, the monitoring events may be varied, and so do the data sinks. Most of known applications deal with the monitoring without varied data. The varied event and different sinks are regarded as different monitoring systems. We propose a distributed mechanism to arrange the routing for transmitting...
AMNESiA is an affinity measurement platform for NFV-enabled networks, designed to consolidate and interpret existing monitoring data into an affinity metric, aiding operators to identify affinity and anti-affinity relations in the network. AMNESiA uses the latest snapshot of usage data, collected through a generic monitoring solution, from the database to measure affinity between VNFs.
This work proposes a framework for proactive resource allocation in IaaS clouds to improve the system performance. In this system framework, the over-commit approach is applied to improve resource utilization and to show the performance impact. Although the over-commit approach could obtain better resource utilization, there are still some risks. When the amount of aggregated resources requested by...
Fully assessing the robustness of a software application in-house is infeasible, especially considering the huge variety of hardly predictable stimuli, environments, and configurations that applications must handle in the field. For this reason, modern testing and analysis techniques can often process data extracted from the field, such as crash reports and profile data, or can even be executed directly...
The integration of both fronthaul and backhaul into a single transport network (namely, 5G-Crosshaul) is envisioned for the future 5G transport networks. This requires a fully integrated and unified management of the fronthaul and backhaul resources in a cost-efficient, scalable and flexible way through the deployment of an SDN/NFV control framework. This paper presents the designed 5G-Crosshaul architecture,...
The pipes of a ship, which exist in heterogeneous typology and massive number, are one of the key elements in a shipyard, and their real-time monitoring constitutes a prospective Cyber-Physical System (CPS). Their improved location, from production and through their lifetime, can enhance shipyard productivity and safety. Navantia, one of the ten largest shipbuilders in the world, has improved its...
Autonomous Systems are systems situated in some environment and are able of taking decision autonomously. The environment is not precisely known at design-time and it might be full of unforeseeable events that the autonomous system has to deal with at run-time. This brings two main problems to be addressed. One is that the uncertainty of the environment makes it difficult to model all the behaviours...
This paper is presented to introduce a system constituting of a PLC (Programmable Logic Controller) that is connected to the level switches which is monitoring the level of the tank. This system saves the tank from over flowing which increases the safety and efficiency. The levels are considered as an input to the PLC and the pump is controlled by the output of PLC which pumps out the solvent or any...
The main objective of this paper is to save power in IT work spots, using a PIR sensor capable of detecting only human beings. It deals with the concept of office automation which will be very much helpful to save power in the time of power crisis. A PIR sensor is fixed to each and every computer in the work spot. The PIR sensor fixed in the computer will sense its user for every 15 seconds as pre...
The paper is devoted to the issue of energy efficiency monitoring in industry. The drawbacks of well-known statistical method based on Monitoring and Targeting systems are considered. An improved procedure of energy efficiency monitoring for industrial objects has been proposed. Appropriate procedure is based on the statistical modelling of energy consumption, including confidence intervals of mathematical...
Decision guidance models are a means for design space exploration and documentation. In this paper, we present decision guidance models for microservice monitoring. The selection of a monitoring system is an essential part of each microservice architecture due to the high level of dynamic structure and behavior of such a system. We present decision guidance models for generation of monitoring data,...
Almost forty percent of U.S. generated energy is consumed in residential and commercial buildings. It is crucial to explore techniques that efficiently utilize power consumption to avoid losses through smart electricity decisions that utilize intelligent power management. In this paper, we used MIT's publicly available residential energy profile dataset (REDD) for analyzing trends and patterns of...
Traffic monitoring and analysis has become necessary to understand the nature of information flowing within an organization. This is particularly important due to the recent trend of increase in the percentage of anomalous traffic in the overall organizational traffic composition. In this work, we attempt to determine the typical characteristics seen in various organizational network traffic. We use...
The number of civil applications that utilize unmanned aerial vehicles (UAVs) nowadays is continuously growing. Detection of gas leaks is one of the most promising directions. Using UAVs in this area is of great interest cause they are more flexible than ground systems. In this paper authors present integration of a custom sensor into AR.Drone quadrotor on the example of Figaro catalytic gas sensor...
Anomaly in Online Social Network can be referred as abnormal or unexpected behavior which deviates from majority of users. Due to popularity of social networking sites such as Facebook, Twitter etc., malicious activities have increased in recent past. Anomaly detection has become an important area for researchers to be looked upon. This survey gives an overview of existing techniques, which is further...
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