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High temperature modelling of GaN HEMTs requires a knowledge of the temperature dependency of low field channel mobility and parasitic source / drain resistances. We discuss extraction of this dependency from drain current versus gate voltage curve at small drain-source voltage.
The advancement of smart devices has led to a steep rise in wearable devices of which smart watches are increasingly gaining popularity in the wearable technology market. Most smart watches have evolved from their first generation to their present generation with increased functionality and capacity. This has led to smart watches gaining popularity and acceptability within the mainstream digital device...
The development of a hybrid sensor consisting of a piezo acoustic resonator and a semiconducting humidity sensor for measurements of the dielectric break down voltage (BDV) in insulating oils of transformers “on the grid” and online, to ensure flawless operation of both the transformer and the powering grid.
Injuries in professional soccer games are very common and can greatly impact players, teams, and leagues. The ability to predict conditions under which injuries are likely to occur would help to mitigate competitive and financial losses. This paper presents a case study in which we look at injuries during 713 Major League Soccer games spanning the 2015 and 2016 seasons. Our dataset consists of 713...
Our aim is to evaluate fundamental parameters from the analysis of the electromagnetic spectra of stars. We may use 103–105 spectra; each spectrum being a vector with 102–104 coordinates. We thus face the so-called “curse of dimensionality”. We look for a method to reduce the size of this data-space, keeping only the most relevant information. As a reference method, we use principal component analysis...
Water scarcity has been a big issue for agriculture. This proposed idea is beneficial to the farmers to irrigate the farms efficiently using an automated irrigation system based on soil temperature, moisture and pH. Respective sensors are used to find the soil water content level and based on this microcontroller drives the servo motor and pump. Irrigation status is updated to the database using PC...
With the advancement in data mining and its applications, data mining is widely used to make smarter decisions in farming. Agricultural meteorology is the science that applies knowledge in weather data relating to atmospheric environment observed by instruments on the ground and by remote sensing. Most of the data need to be processed for generating various decisions such as cropping and scheduling...
Many association rule mining algorithms find associations and correlations from traditional transaction databases, in which the content of each transaction is definitely precise. However, due to instrument errors, imprecise of sensor monitoring systems, and so on, real-world data tend to be numerical data with inherent uncertainty. To deal with these situations, we propose a FP-growth-based mining...
The main concern for airlines is fuel consumption but also a long-term expectancy about the engine cost during its full life. This includes maintenance frequency and shop costs. In the next five years, Snecma, as engine manufacturer, needs to be able to collect more than one gigabyte of data per flight and per engine. This becomes huge as the flow of data continuously increases and should be used...
Missing values becomes one of the problems that frequently occur in the data observation or data recording process. The needs of data completeness of the observation data for the uses of advanced analysis becomes important to be solved. Conventional method such as mean and mode imputation, deletion, and other methods are not good enough to handle missing values as those method can caused bias to the...
Data Mining (DM) techniques such as classification, clustering, association, regression etc. provide a promising way to help improving the quality, efficiency and lowing the cost of developing the healthcare systems. Especially with the rapid development of the cloud platform services, like SaaS, it does not only reduce the cost (time and expenditure) but also breaks the boundaries of the data transaction...
The research presented in the current paper addresses the use of data mining techniques for enhancing the dependability characteristic in the case of cyber-physical systems. A cyber-physical system for environmental monitoring was considered as a case study. In this context, the main task of data mining is to predict the missing sensor values caused by hardware and software components malfunctions...
In this paper, we propose two novel active learning algorithms: 1) k-mode for classifying the certain and uncertain dataset in a whole dataset, 2) Priority R-Tree clustering the certain and uncertain data for each domain. They handle both supervised and unsupervised dataset. These techniques improve the robustness and accuracy of the clustering outcome to a great extent. By minimizing the expected...
Nowadays chronic diseases are the leading cause of deaths in India. These diseases which include various ailments in the form of diabetes, stroke, cardiovascular diseases, mental health illness, cancers, and chronic lung diseases. Chronic diseases are the biggest challenge for India and these diseases are the main cause of hospitalization for elder people. People who have suffered from chronic diseases...
Understanding the operation of a building is key for improving it and reducing energy waste. However, today this is a mostly manual task for which domain experts use visual tools to analyze the large amounts of building data. We show how to automate this task by means of pattern extraction techniques. These allow human operators to simply consider well defined data patterns rather than vast amounts...
Machine-to-Machine Communication (M2M) enables communication between heterogeneous devices without human intervention. It is considered to be a key enabler technology for the concept of Internet of Things (IoT) and Cyber Physical Systems (CPS). With M2M's integration with Wireless Sensor Networks (WSN), information from different kinds sensors can be obtained. In order to discover useful knowledge...
Ballistic target recognition is a key process in anti-missile combat. In this paper, the movement characteristics and physical characteristics of ballistic target are analyzed, some ideas or methods to save extracted information, to create template sequence and to recognize ballistic target on grey relational analysis are proposed. Based on these, we give the method to calculate the grey incidence...
Understanding the large-scale environment has never been more important than today. Ecological parameters are changing drastically all over the world, and there is no answer why it is happening. There are so many environmental characteristics which we are able to measure and monitor. However, we do not really understand the meaning of all these environmental measurements. In this research we propose...
Mobile phones, sensors, patients, hospitals, researchers, providers and organizations are nowadays, generating huge amounts of healthcare data. The real challenge in healthcare systems is how to find, collect, analyze and manage information to make people's lives healthier and easier, by contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and...
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