EMITTER - International Journal of Engineering Technology
Not a member yet
261 research outputs found
Sort by
Implementation and Integration of Fuzzy Algorithms for Descending Stair of KMEI Humanoid Robot
Full text linkLocomotion of humanoid robot depends on the mechanical characteristic of the robot. Walking on descending stairs with integrated control systems for the humanoid robot is proposed. The analysis of trajectory for descending stairs is calculated by the constrains of step length stair using fuzzy algorithm. The established humanoid robot on dynamically balance on this matter of zero moment point has been pretended to be consisting of single support phase and double support phase. Walking transition from single support phase to double support phase is needed for a smooth transition cycle. To accomplish the problem, integrated motion and controller are divided into two conditions: motion working on offline planning and controller working online walking gait generation. To solve the defect during locomotion of the humanoid robot, it is directly controlled by the fuzzy logic controller. This paper verified the simulation and the experiment for descending stair of KMEI humanoid robot. 
Perfomance Comparison of Genetic and Greedy Algorithms in Underlay Device-to-Device Communication
Full text linkThe number of cellular users (CU) continues to increase in Indonesia. This impacts a large network load for the number of devices connected to the main network so it will have an impact on the quality of service. Device-to-Device (D2D) communication as components for LTE-A technology enabling a direct wireless link between the CUs without routing the data via the evolved Node B (eNB) signal or the core network. The need for algorithm and power control used to allocate radio resources so it can get a good quality of service because of communications technology D2D. In this study, we analyze and compare the performance parameters of D2D communication systems, including system interference, system sum-rate, system spectral efficiency, total energy system, and system energy efficiency based on Genetic and Greedy Algorithms in allocating radio resources and controlling the power of users. The genetic algorithm works with three operators in allocating resource block (RB), including proportional selection, crossover, and mutation. This process is repeated many times to produce several generations so that the best allocation can be got. The genetic algorithm has a flexible number of D2D and cellular communications in several RBs, minimum signal to interference plus noise ratio (SINR) also considered for mobile communication in ensuring the quality of its services. Numerical evaluations demonstrate the superior performance of the Genetic Algorithm in terms of system power, energy efficiency, and interference mitigation. As repetition gets larger, the Genetic algorithm results in better spectral efficiency
Comparation of SAW Method and Topsis in Assesing The Best Area Using HSE Standards
Full text linkPertamina Gas is a company engaged in the midstream and downstream industry sectors of Indonesian gas. Currently, the process to access the best areas in PT. Pertamina Gas has not been computerizedand it is still doing manu ally. In assessing the area itself, this method is considered less effective and efficient to determine the best area. Area Assessment according to PT. Pertamina Gas itself is important to iincrease the performance and safety in improving PT. Pertamina Gas Health, Safety, Environment quality. Therefore, we need a system to determine which areas are the best in the PT. Pertamina Gas environment, using predetermined criteria. To create a system commenting on the area in PT. Pertamina Gas Environment, the author used the method Simple Additive Weighting (SAW) and Techniques for Other References With Similarities to Ideal Solutions (TOPSIS) for the best process of conversation and area testing.This study suggests finding the best method for reporting and helping to make decisions based on the best alternative value. The results obtained from this study show that the testing using SAW method is more optimal than using TOPSIS method, with the value of sensitivity change for SAW is 2.4 and TOPSIS is 0.7754.  
A Study of Chip Formation on Turning with Minimum Quantity Lubrication Method (MQL)
Full text linkThe cutting fluid is one of the essential factors in machining to increase machinability. The issuance of ISO 14000 about reducing the use of cutting fluid for its danger for operator and environment has encouraged many researchers to find ways to minimize its use. The Minimum Quantity Lubrication (MQL) is an answer to it. To further reduce the use of cutting fluid, a device that complies with MQL criteria for controlling the spray based on the tool temperature has successfully designed. This paper is discussing the effect of applying this device to the chips formation. The experiments were on turning of AISI 4340 using carbide tools. The Taguchi method L9 used to design the experiments. The variations made on the method of applying the cutting fluid, depth of cut, and cutting fluid composition. The chips formation was calculated based on the value of the degree of serration. Analysis of the S/N ratio, followed by ANOVA, revealed that the cutting fluids application method is the least factor affecting the chips formation. In contrast, the depth of cut influences the chips formation by 75 per cent more. The highest degree of serration achieved when applying the combination of depth of cut of 1.8 mm, the composition of 5:5, and flood method of applying cutting fluid
Stable Algorithm Based On Lax-Friedrichs Scheme for Visual Simulation of Shallow Water
Full text linkMany game applications require fluid flow visualization of shallow water, especially dam-break flow. A Shallow Water Equation (SWE) is a mathematical model of shallow water flow which can be used to compute the flow depth and velocity. We propose a stable algorithm for visualization of dam-break flow on flat and flat with bumps topography. We choose Lax-Friedrichs scheme as the numerical method for solving the SWE. Then, we investigate the consistency, stability, and convergence of the scheme. Finally, we transform the strategy into a visualization algorithm of SWE and analyze the complexity. The results of this paper are: 1) the Lax-Friedrichs scheme that is consistent and conditionally stable; furthermore, if the stability condition is satisfied, the scheme is convergent; 2) an algorithm to visualize flow depth and velocity which has complexity O(N) in each time iteration. We have applied the algorithm to flat and flat with bumps topography. According to visualization results, the numerical solution is very close to analytical solution in the case of flat topography. In the case of flat with bumps topography, the algorithm can visualize the dam-break flow and after a long time the numerical solution is very close to the analytical steady-state solution. Hence the proposed visualization algorithm is suitable for game applications containing flat with bumps environments
Analysis of Energy Consumption Using Sequential to Better Signal (SBS) Scheme for Green Celluler Network
Full text linkOver time, cellular communication technology developed significantly from year to year. This is due to increasing the number of users and the higher needed. To overcome this problem, many providers increase the number of new base station installations to fill up the customer's needed. The increase number of base stations does not take into account the amount of power consumption produced, where in the cellular network Base Stations (BS) are the most dominant energy consuming equipment estimated at 60% - 80% of the total energy consumption in the cellular industry. In addition, energy waste often occurs in the BS where the emission power will always remain even if the number of users is small. Power consumption and energy savings are important issues at this time because they will affect CO2 emissions in the air. This paper proposes to save energy consumption from BS by turning off BS (sleep mode) if the number of users is small and distributed to other BS (neighboring BS) which is called cell zooming technique. The cell size can zoom out when the load traffic is high and zoom in when the load traffic is low. To determine the central BS and neighboring BS, a sequential to better signal (SBS) scheme is used where this scheme sorts neighboring BS based on the SINR value received (user). The results of this research, base station can be able to save energy 29.12% and reduce CO2 emission around 3580 kg/year. It means saving energy consumption which is also reducing air pollution occurs and this term can be named as green cellular network. 
Implementation of Oxymetry Sensors for Cardiovascular Load Monitoring When Physical Exercise
Full text linkThe performance condition of an athlete must always be maintained, one way to maintain that performance is by training. Each individual has different abilities and physiological responses in receiving the portion of the exercise. Physical exercise that exceeds the body's ability can worsen the condition of the athlete itself which can result in excessive fatigue (overtraining) or can even result in injury. Therefore a system is needed to monitor the condition of the physiological response when given the intensity of the training load so that the portion of the training provided provides positive benefits for the athlete. This system was developed using an oxymetry sensor, microcontroller and wifi module ESP8266. This system is used to collect heart rate and oxygen saturation data, then with the existing formula the heart rate value is converted to a CVL (Cardiovascular Load) value to determine the level of fatigue in athletes when given the intensity of the training load. By using a web-based application, measurement data is displayed in realtime to make it easier to see the results of monitoring. From the experimental results the system can monitor changes in the physiological condition of the athlete when given the intensity of the training load. Finally, the developed system can collect athlete's physiological data, and can store the data in a database and display it in a web application
Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net
Full text linkGlioblastoma is listed as a malignant brain tumor. Due to its heterogeneous composition in one area of the tumor, the area of tumor is difficult to segment from healthy tissue. On the other side, the segmentation of brain tumor MRI imaging is also erroneous and takes time because of the large MRI image data. An automated segmentation approach based on fully convolutional architecture was developed to overcome the problem. One of fully convolutional network that used is U-Net framework. U-Net architecture is evaluated base on the number of epochs and drop-out values to achieve the most suitable architecture for the automatic segmentation of glioblastoma brain tumors. Through experimental findings, the most fitting architectural model is mU-Net architecture with an epoch number of 90 and a drop out layer value of 0.5. The results of the segmentation performance are shown by a dice value of 0.909 which is greater than that of the previous research
Design and Implementation of Wireless Sensors and Android Based Application for Highly Efficient Aquaculture Management System
Full text linkThe main problems in the practice of traditional shrimp aquaculture are related with maintaining good water quality and reducing high operational cost. In this paper it will be described the application of wireless sensors and Android based application as mobile monitoring tool in achieving highly efficient shrimp aquaculture monitoring system. A set of four water quality parameter sensors (pH, temperature, conductivity and DO) were submerged into the pond using a buoy, in which an electronics and Xbee wireless transmitter have been installed to transmit the measured data into a fixed monitoring station. The main component of the fixed monitoring station was a smart data logger capable of performing automatic aeration system. Data transmission from the monitoring station to the master station was done through GSM/GPRS module of a Raspberry microcontroller. Using internet connection, a web based server has been developed from which the Android based application retrieved the measured parameter data. Graphical analysis of water quality data can be performed from a mobile phone, allowing users to monitor the aquaculture regardless of their geographical location. This system has been implemented in a shrimp aquaculture in Bangka island, Indonesia. In addition to giving real-time water quality data, the system was able to reduce the operational electricity cost because of the automatic aeration feature. Consistenly, the system has been sending the measurement data to the web server, which is accessible using Android mobile phones worldwide
An Automated Approach of Detection of Memory Leaks for Remote Server Controllers
Full text linkMemory leaks are a major concern to the long running applications like servers which make the working set to grow with the program. This eventually leads to system crashing. This paper discusses a staged approach to detect leaks in firmware of remote server controller. Remote server controller monitors the server remotely with many processes running in the background. Any memory leak in the long running applications pose a threat to the performance of the system. The approach adopted here filters the processes running in the system with leaks based on time threshold in the first stage. These processes with leaks are passed to the next stage where precise memory leak detection is done using the open source dynamic instrumentation tool Valgrind. The system leverages an automated leak detection approach that invokes the leak detection process on encountering any severity in the system and generates a consolidated leak report. The proposed approach has less impact on the performance of the system and is faster compared to many available systems as there is no need to modify or re-compile the program. In addition, the automated approach offers an effective technique for detecting possible leakages in early software development phases