The Level Of Anxiety’s Referees Of Langsa (Football Association Of Indonesia) When Enforcing The Laws Of The Game During A Match

Football is a popular sport that is loved by all levels of society and throughout the world. A football match always engages a referee who enforces the game to oversee the course of the game consisting of the head referee and assistant referee. This article discusses the level of anxiety of the C-3 soccer referee at the PSSI Askot Langsa City, which amounted to 26 people. The research method used is descriptive quantitative with a survey approach. This study was to figure out information on the anxiety level of the C-3 referee while leading the match; the results showed 17 referees with a percentage of 65% in the high anxiety category and nine referees with a portion of 35% in the very high category. Factors that affect the referee's anxiety are the audience pressure factor. The high atmosphere of the match when the home team is competing and the human error factor from the referee itself is appeared because the referee hesitates in making decisions so that the same mistakes are repeated by head referee and assistant referee during a match underway.

Investigation of Bi-Directional LSTM deep learning-based ubiquitous MIMO uplink NOMA detection for military application considering Robust channel conditions

Ubiquitous multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) networks (UMNs) have emerged as an important technology for enabling security and other applications that need continuous monitoring. Their implementation, however, could be obstructed by the limited bandwidth available due to many wireless users. In this paper, bidirectional long short-term memory (LSTM)-based MIMO-NOMA detector is analyzed considering imperfect successive interference cancelation (SIC). Simulation results demonstrate that the traditional SIC MIMO-NOMA scheme achieves 15 dB, and the deep learning (DL) MIMO-NOMA scheme achieves 11 dB for [Formula: see text] number of iterations. There is a gap of 4 dB which means that the DL-based MIMO-NOMA performs better than the traditional SIC MIMO-NOMA techniques. It has been observed that when the channel error factor increases from 0 to 1, the performance of DL decreases significantly. For the channel error factor value less than 0.07, the DL detector performance much better than the SIC detector even though the perfect channel state information (CSI) is considered. The DL detector’s performance decreases significantly where variations between the actual and expected channel states occurred, although the DL-based detectors’ performance was able to sustain its predominance within a specified tolerance range.

GA-based multi-objective optimization technique for medical image denoising in wavelet domain

Medical images that are acquired with reduced radiation exposure or following the administration of imaging agents with a low dose, are often known to experience problems by the noise stemming from acquisition hardware as well as psychological sources. This noise can adversely affect the quality of diagnosis, but also prevent practitioners from computing quantitative functional information. With a view to overcoming these challenges, the current paper puts forward optimization of multi-objective for denoising medical images within the wavelet domain. This proposed technique entails the use of genetic algorithm (GA) to get the threshold optimized within the denoising framework of wavelets. Two purposes are associated with this technique: First, its ability to adapt with different noise types of noise in the image without requiring prior information about the imaging process per se. In addition, it balances relevant diagnostic details’ preservation against the reduction of noise by considering the optimization of the error factor of Liu and SNR as the foundation of objective function. According to the implementation of this method on magnetic resonance (MR) and ultrasound (US) images of the brain, a better performance has been observed as compared to the existing wavelet-based denoising methods with regard to quantitative and qualitative metrics.

SENSOR SYSTEM DESIGN FOR PROPELLER TEST BENCH

The sensor system is a system that functions to detect signals that come from changes in energy such as electrical energy, physical energy, chemical energy, biological energy, mechanical energy, and so on. The propeller test bench is an propeller performance testing platform prior to propeller installation on an aircraft to ensure engine suitability. The purpose of this design is to test the performance capability of the engine with the right sensor system measurement tool so that it can generate the value of thrust, rpm speed, and the temperature of an engine which will be designed to be used in the learning process to support propulsion practicum activities. The method used in this research is an experimental method of sensor system design. The design of the sensor system consists of a tachometer as a rpm measurement sensor, a thermostat as a sensor to measure the temperature of the propeller spool and temperature of the engine fin, and also a load cell as a sensor to measure the thrust value.The sensor system test results were then validated using the measurement results by the sensor manufacturer. The test was carried out on a wood-type propeller measuring 22 x 8 chords 4,5 cm and 5 cm. Based on the test results, it is known that the chord wood type propeller is 4,5 cm, at the maximum rpm is 7021.7, the resulting thrust value is 6.75. In testing the 5cm chord wood type propeller shows the maximum speed of 6977.5 produces a thrust of 6.95. Validation was carried out on the measurement results of rpm and thrust, the average error factor obtained for 4,5 cm chord wood type propeller was 0.783%, while for 5 cm chord wood type propeller the average error factor obtained was 1.0582%. From the resulting average error, it can be concluded that the measuring instrument for this sensor system has good accuracy

Macro Modeling of V-Shaped Electro-Thermal MEMS Actuator with Human Error Factor

The V-shaped electro-thermal MEMS actuator model, with the human error factor taken into account, is presented in this paper through the cascading ANSYS simulation model and the Fuzzy mathematics calculation model. The Fuzzy mathematics calculation model introduces the human error factor into the MEMS actuator model by using the BP neural network, which effectively reduces the error between ANSYS simulation results and experimental results to less than 1%. Meanwhile, the V-shaped electro-thermal MEMS actuator model, with the human error factor included, will become more accurate as the database of the V-shaped electro-thermal actuator model grows.

Analysis of the Effect of Machining Sequence on Machining Error Considering Workpiece Rigidity Change

The objective of this research is to investigate relations between individual physical phenomena and machining error from the measured machined error. Small lot production using numerical control machine tools is widely applied to high quality and high value-added products. In such production, agile and flexible machining is required. Thus, there have been many researches which investigate the effect of specific phenomena such as cutting force, thermal expansion, tool wears, chattering vibration and so on, which is to realize high precision machining. However, there have been some unsolved problems. The first problem is focused phenomena are mostly cutting force and/or machine tool deflection. Accordingly, other effects such as the results by workpiece rigidity change have not been investigated enough. The second problem is that the generation process of machining error is complicated and there is no proper method to compensate. Because of those complicate process, it is difficult to determine the dominant error factor of a new machining case in advance. Therefore, on-machine error measurement and estimation of error factors are essential technologies in order to achieve accuracy assurance. Recently, machining for rib-structured and thin-walled workpiece becomes important because of their higher structure efficiency and light weight characteristic. In this paper, the effect of workpiece rigidity to the machining error is investigated. Depend on the machining sequence, workpiece rigidities change differently during the machining process. Two different machining cases with different machining sequences are conducted and difference between the cases are investigated.

PROTOTIPE RANCANG BANGUN PINTU BENDUNGAN OTOMATIS UNTUK IRIGASI PERTANIAN BERBASIS MIKROKONTROLER ARDUINO ATMEGA328

Technology as a result of human inventions to facilitate the work of increasingly advanced human technology and the development of various kinds of innovations especially developments in the field of microcontroller technological inventions penetrated various aspects ranging from transportation medicine and agriculture The large number of residents who use hydropower dams as water storage Open and close water dam gates automatically are buildings and structures that can function to open and close the flow of water to the river upstream according to the water level at the headwaters or dams. This tool uses the principle water level control work for water level detection using ultrasonic sensors with the design of this tool can then make it easier in terms of monitoing in opening and opening the water dam door automatically so as to facilitate in regulating the flow of water discharge without having to use a guard by adding an LCD to make it easier to show water level information and alarms on dams that can change in an uncertain period of time and then discharge reportsthe height of the water can be seen through the web so that it can facilitate and reduce a human error factor human error

DESIGN OF AUTOPILOT TRACKING CONTROL AT A PROTOTYPE TANK BASED ON ARDUINO

The Indonesian Navy is one elements of the Indonesian nation which has the duty to maintain the unity andunity of the Republic Indonesia. The Indonesian Navy requires a lot of equipment, defense equipment andsupporting equipment. Unmanned Tank Alutsita is one vehicle that can be used as a combat vehicle withoutinvolving troop personnel in the tank that can be controlled remotely through wireless data communication. Thedesign of the location-based prototype tank autopilot control system is a research in answering for thedevelopment of unmanned warfare technology. Prototype unmanned tank using GPS sensor bases, imu andcompass determining the location, orientation and direction of the prototype. The application of the compass asan evaluation of the tank bow course error towards the direction of the destination, while GPS is used as aparameter for determining the location of the destination location. The combination of the two sensors is usedas a base information on the control system on autopilot. From the results of tests that have been carried outobtained manual control systems and autopilot in accordance with the itinerary that has been made. The vehicletank can respond in real time to any location and direction errors, so that corrections can be made to reach thedestination correctly. Weather problems become a barrier factor in getting location data from GPS. During thetest in sunny conditions obtained control results with a location error factor of less than 5 meters.Keyword : Prototype, control, autopilot