scholarly journals WALKING MOTION OPTIMIZATION OF THE WALKING MACHINE WITH DYNAMIC STABILITY

2021 ◽  
Vol 16 (1) ◽  
pp. 66-70
Author(s):  
Yuriy Aleynikov Yuriy Georgievich
Keyword(s):  
Energy Consumption ◽  
Dynamic Change ◽  
Ground Surface ◽  
Electrical Energy ◽  
False Alarms ◽  
Time Interval ◽  
Shock Loads ◽  
Factors Affecting ◽  
Walking Machine ◽  
Rigid Contact

The movement of machines with a walking legs is accompanied by dynamic vibrations of its body and a large energy consumption for the reciprocating movements of the legs. The greatest influence on the smoothness of the course is exerted by the alternating accelerations of the moving masses and the rigid contact of the leg with the ground surface. To reduce the negative factors affecting the smoothness of movement and energy consumption, are proposed to optimize the trajectory of movement of the legs. The optimized trajectory of the legs movement made it possible to reduce the consumption of electrical energy by 12 ... 18% per cycle of movement compared to the trajectory lying in the same geometric plane. In order to reduce shock loads, the time interval between the triggering of the shock sensor and the load sensor when lowering the support to the surface was experimentally determined, which was about 100 ms at a lowering speed of 20 mm/s. Reducing the speed of the leg at the moment of triggering the shock sensor after contact with the surface and its subsequent smooth loading made it possible to reduce shock loads and reduce body vibrations caused by sharp impacts of the feet on the surface. Support acceleration on impact decreased from 6g to 1.5g. The triggering of the shock sensor located on the support foot when it touches hard and soft surfaces requires adjusting the sensor's sensitivity while the machine is moving. Optimization of the algorithm for filtering false alarms and dynamic change in sensitivity did not give a satisfactory result, therefore, it is necessary to equip the design with additional load sensors that react to contact with the surface when lowering the support

scholarly journals Household Characteristics That Influence Simple Household Demand on Electricity

2015 ◽  
Vol 16 (1) ◽  
pp. 61
Author(s):  
Tongam Sihol Nababan
Keyword(s):  
Energy Consumption ◽  
Logistic Regression Model ◽  
Electric Energy ◽  
Electrical Energy ◽  
Household Demand ◽  
City Center ◽  
Factors Affecting ◽  
Electric Energy Consumption ◽  
The City ◽  
Electricity Energy Consumption

This research aims to analyze the characteristics of households that affect the electric energy consumption of simple households. The second objective is to analyze the probability of each of the factors affecting the electricity energy consumption of small household. The research was conducted in Medan City in the period of March 2014 to November 2014 with samples of 143 small households, the customer of PT. PLN (Persero) Medan, which use the power of electricity for TR-1 /450VA. Data were analyzed by using the logistic regression model. The estimation results indicated that (1) the higher the willingnes to pay (WTP) of households, the higher the tendency to consume elec trical energy per month. (2) the closer the households residence to the city center, the higher the tendency to consume electrical energy than of the households residence in the suburbs, (3) increasingly unfavourable response to electrical quality, the higher the opportunity to consume a greater electric power monthly.

scholarly journals The concept for the “Smart Home” controlled by a smartwatch

2018 ◽  
Vol 31 (3) ◽  
pp. 389-400
Author(s):  
Milos Kosanovic ◽  
Slavimir Stosovic
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Mobile Device ◽  
Smart Home ◽  
Electrical Energy ◽  
Electrical Circuit ◽  
Time Interval ◽  
Electrical Energy Consumption ◽  
Web App

In this paper a ?Smart Home? solution is proposed in which power plugs in a remote room can be controlled by a smartwatch, an Android mobile device or a PHP web app. Communication between these devices takes place in real time via server using Node.js technology. An electrical circuit for determining current and voltage on the plugs via Arduino Wi-Fi module sends the measured values to the server, based on which the electrical energy consumption in each time interval can be determined. All the measured values are stored in MySQL database and used for creation of appropriate reports. Smartwatch app enables remote plugging and unplugging. In addition, the setting of limits for electrical energy consumption on each plug is enabled, as well as the power of the consumption device that can be plugged. Exceeding of the allowed values leads to the automatic unplugging.

A persuasive multi-agent simulator to improve electrical energy consumption

2021 ◽  
pp. 1-15
Author(s):  
Fernanda P. Mota ◽  
Cristiano R. Steffens ◽  
Diana F. Adamatti ◽  
Silvia S. Da C Botelho ◽  
Vagner Rosa
Keyword(s):  
Energy Consumption ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Multi Agent

scholarly journals Financing Growth through Remittances and Foreign Direct Investment: Evidences from Balkan Countries

2021 ◽  
Vol 14 (3) ◽  
pp. 117
Author(s):  
Esmeralda Jushi ◽  
Eglantina Hysa ◽  
Arjona Cela ◽  
Mirela Panait ◽  
Marian Catalin Voica
Keyword(s):  
Developing Economies ◽  
Central Banks ◽  
Sustainable Growth ◽  
Time Interval ◽  
Foreign Direct Investments ◽  
Factors Affecting ◽  
Balkan Countries ◽  
To Come ◽  
Sustainable Economic Growth ◽  
The Impact

The ultimate goal of central banks, worldwide, is to promote the foundations for sustainable economic growth. In the case of developing economies, in particular, such objective requires time, huge efforts, attention, and plenty of resources in order to be accomplished to the fullest degree. This paper thoroughly investigates key factors affecting Balkan countries’ economic development (as measured by gross domestic product (GDP) growth), focusing especially on the impact of remittances. The analysis was done over an 18-year time interval (2000–2017) and builds on 144 observations. The data figures were retrieved from the World Bank database while two dummies were created to test the impact of the last financial crisis (2008–2012). Econometric tools were employed to carry out a broad analysis on the interdependencies that exist and, in particular, to determine the role of remittance income on growth. The vector auto regressive model was estimated using EViews software, and was used to come up with relevant insights. Empirical findings suggest the following: population growth, remittances, and labor force participation are insignificant factors for sustainable growth. On the other hand, previous levels of GDP, trade, and foreign direct investments (FDIs) appear to be relevant for the predictor. This research provides up-to-date conclusions, which can be considered during the decision-making process of central banks, as well as by government policymakers.

scholarly journals Computer-Assisted System in Stress Radiography for Anterior Cruciate Ligament Injury with Correspondent Evaluation of Relevant Diagnostic Factors

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 419
Author(s):  
Chien-Kuo Wang ◽  
Liang-Ching Lin ◽  
Yung-Nien Sun ◽  
Cheng-Shih Lai ◽  
Chia-Hui Chen ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Cruciate Ligament ◽  
Anterior Tibial Translation ◽  
Computer Assisted ◽  
Time Interval ◽  
Stress Radiography ◽  
Factors Affecting ◽  
Anterior Tibial ◽  
Anterior Cruciate ◽  
Tibial Translation

We sought to design a computer-assisted system measuring the anterior tibial translation in stress radiography, evaluate its diagnostic performance for an anterior cruciate ligament (ACL) tear, and assess factors affecting the diagnostic accuracy. Retrospective research for patients with both knee stress radiography and magnetic resonance imaging (MRI) at our institution was performed. A complete ACL rupture was confirmed on an MRI. The anterior tibial translations with four different methods were measured in 249 patients by the designed algorithm. The diagnostic accuracy of each method in patients with all successful measurements was evaluated. Univariate logistic regression analysis for factors affecting diagnostic accuracy of method four was performed. In the inclusive 249 patients, 177 patients (129 with completely torn ACLs) were available for analysis. Mean anterior tibial translations were significantly increased in the patients with a completely torn ACL by all four methods, with diagnostic accuracies ranging from 66.7% to 75.1%. The diagnostic accuracy of method four was negatively associated with the time interval between stress radiography and MRI as well as force-joint distance on stress view, and not significantly associated with age, gender, flexion angle, intercondylar distance, and force-joint angle. A computer-assisted system measuring the anterior tibial translation in stress radiography showed acceptable diagnostic performance of complete ACL injury. A shorter time interval between stress radiography and MRI as well as shorter force-joint distance were associated with higher diagnostic accuracy.

scholarly journals AUDIT ENERGI PADA SEBUAH HOTEL

2012 ◽  
Vol 16 (3) ◽  
pp. 131
Author(s):  
Didik Ariwibowo
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Energy Savings ◽  
Electric Energy ◽  
Electrical Energy ◽  
Hot Water ◽  
Electrical Energy Consumption ◽  
Energy Audit ◽  
Electric Energy Consumption ◽  
Pumping System

Didik Ariwibowo, in this paper explain that energy audit activities conducted through several phases, namely: the initial audit, detailed audit, analysis of energy savings opportunities, and the proposed energy savings. Total energy consumed consists of electrical energy, fuel, and materials in this case is water. Electrical energy consumption data obtained from payment of electricity accounts for a year while consumption of fuel and water obtained from the payment of material procurement. From the calculation data, IKE hotels accounted for 420.867 kWh/m2.tahun, while the IKE standards for the hotel is 300 kWh/m2.tahun. Thus, IKE hotel included categorized wasteful in energy usage. The largest energy consumption on electric energy consumption. Largest electric energy consumption is on the air conditioning (AC-air conditioning) that is equal to 71.3%, and lighting and electrical equipment at 27.28%, and hot water supply system by 4.44%. Electrical energy consumption in AC looks very big. Ministry of Energy and Mineral Resources of the statutes, the profile of energy use by air conditioning at the hotel by 48.5%. With these considerations in the AC target for audit detail as the next phase of activity. The results of a detailed audit analysis to find an air conditioning system energy savings opportunities in pumping systems. Recommendations on these savings is the integration of automation on the pumping system and fan coil units (FCU). The principle of energy conservation in the pumping system is by installing variable speed drives (VSD) pump drive motor to adjust speed according to load on the FCU. Load variations FCU provide input on the VSD pumps to match. Adaptation is predicted pump can save electricity consumption up to 65.7%. Keywords: energy audit, IKE, AC

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