A s a result of the developments in the field of medicine, human life has been prolonged. For this reason, the ratio of elderly individuals to other individuals in the society is increasing day by day. According to the United Nations' World Population Ageing 2019 report, the world population is estimated to increase by 2 billion people and reach 9.7 billion by 2050(United Nations, 2019). According to the expectations of the World Health Organization (WHO), the number of individuals over 60 is estimated to exceed 2 billion in 2050 and the rate of deaths due to falls is estimated to increase from 28% to 42% (WHO, 2007;Chelli and Patzold, 2019). While falls of elderly people sometimes result in severe damage such as bone fracture, some falls do not cause any significant injury. The elderly person's health condition worsens as a result of the inability to get up without support after a long stay on the floor. For this reason, it is vital that the falls of elderly individuals must be detected while Article History:
The quality of energy has been defined to control harmonics caused by non-linear loads and international standards were brought to overcome the harmonic related problems. In determining the power quality, parameters like current-voltage harmonic, transient, flicker, current and voltage imbalance between phases, K factor are examined according to these international standards. The biggest disadvantage of harmonics is that they do not affect the power quality over an individual network but also affect the entire energy system primarily neighbouring facilities. Therefore, the energy system of Opium Alkaloids Plant was examined by using measurements information of current and voltage harmonics affecting the energy quality. And, it has been determined that the harmonics have a negative impact on energy quality. According to these findings, it has been proposed to install a well-designed filter for elimination of harmonics. Besides, it has been emphasised that new hardwares and devices should be chosen to support this harmonic filtering system in the future.
Although indispensable benefits of energy in our life, production, transmission and consumption of the energy also leads to extended environmental pollution during these process. Parallel to population growth and industrial developments, immense energy production and conversion system affect ecological balance beyond our borders. Therefore, environmental issues are international as well as they are national. In this context, advantage and disadvantage of hydroelectric plants has been mentioned in this work and the importance of environmental policies has been emphasized. Basically, sustainability and reliability issues of hydroelectric power plants (HPP) which has became a part of energy production from renewable natural source of water have been examined in the context of environmental policies.
Recently, machine Learning algorithms are widely used in many fields. Especially, they are really good to create prediction models for problems which are not easy to solve with conventional programming techniques. Although, there are many different kinds of machine learning algorithms, results of applications are varying depend on type of data and correlation of information. In this study, different machine learning algorithms have been used for appliance recognition. The measurement data of Appliance Consumption Signatures database and some derivative values have been used for training and testing. Additionally, a data pre-processing technique and its effects on results have been presented. Filtering corrupted data and removing uncertain measurement value has improved the quality of machine learning. Combination of machine learning algorithms is best way to work with uncertain values. Different feature extraction methods and data pre-processing techniques are crucial in machine learning. Therefore, this study aims to develop a high accurate appliance recognition technique by combining grey relational analysis and an ensemble classification method. The results of this new method have been presented comparatively to show the improvement for itself and previous studies that uses the same database.
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