151 research outputs found
Radiation Detection by Employing Periodic Packets in Power-Line Communication System
No full textThe interference with existing radio broadcasting services because of unintentional radiation is a serious\ud
problem in power-line communication (PLC) systems. A radiation detection method based on burst packets,\ud
which had been proposed by the authors and was called scan and sum (SAS) method, was a low cost method\ud
and used to solve the problem. But its measurement took a long time and the burst packets occupied a\ud
channel. To shorten the measurement time, a new method based on periodic packets has been proposed in\ud
this paper, which is called periodic packet sound (PPS) method. Although both methods record the radiated\ud
signal as a sound data, the PPS does not need to scan the frequency of an AM radio receiver but analyses\ud
the sound data by a cross-correlation operation with a reference signal. First, how to generate the reference\ud
signal that depends on the modems is described. Second, an optimization of the packet size is studied, and\ud
finally it is shown that the detection sensitivity of PPS was maintained to be the same as SAS while the\ud
measurement time of PPS was 1/9 shorter than that of SAS. Moreover, the channel occupation of PPS was\ud
reduced to be 2% of SAS when the packet size was optimized to be 1500 bytes
ANALISIS FAKTOR PENYEBAB KETERLAMBATAN PENGIRIMAN PRODUK ARNOTTS KE ALFAMART AREA JABODETABEK DAN BANTEN PT INTAN UTAMA LOGISTIK TAHUN 2015
Get PDFPT Intan Utama Logistics is a company engaged in the field of freight forwarding that its main task, delivering goods using multiple modes of transportation available. As a freight forwarding service company PT. Intan Utama Logistik should be able to provide the best services to meet the needs of customers, one of which is in terms of timeliness of delivery of goods safely reach the destination because it can affect the level of customer satisfaction. But in fact in the process of delivery of goods are still common problems, such as delays in delivery caused by various factors, including wage service trips within the scope of delivery, a factor congestion on land and the diversion of traffic flows, frequent damage to the fleet operational, operational fleet is not in accordance with the needs and the goods component is lacking. This study aims to determine the factors that cause delays in shipping products to alfamart Arnotts Greater Jakarta and Banten area at PT Intan Utama Logistik Year 2015. To find out the root of the problem of delays in shipping products to alfamart Arnotts Greater Jakarta and Banten area and the solution at PT. Intan Utama Logistik Year 2015. To find out effective measures or solutions in addressing delays in shipping products to alfamart Arnotts Greater Jakarta and Banten area at PT. Intan Utama Logistik Year 2015. The data analysis techniques used by the author is a fishbone diagram or cause-effect diagram ,. the writer has the conclusions that can be drawn as follows: (1) Total shipments (shipment) the PT Intan Utama Logistik in 2015 amounted to 9280, goods were delivered (delivery) amounted to 7868 and the total of goods that experienced delays amounted to 1410 with the performance results achieved by 15:19%. (2) Analysis of the root cause of the problem is known 10 variables rated by the respondents there are four variables that have problems with the average - average percentage of problematic factor is> 43.66%. The four variables are problematic, namely Machines, Methods and Money. (3) Having found a major problem in this problem, there are several factors that cause delay that disbursement of funds should wait for the decision of GM, the number of operational fleet is used to handle distribution activities are limited, the whole process delivery of goods should use transport fleet and has become a liability to determine for courier service
Hybrid RF-Energy Harvester for IoT Smart Device Applications Low Power Consumption
Get PDFEnergy independence and long battery lifetime, the vision of 5G technology is one of them for IoT smart devices. Focusing on the challenges in this technological vision, the solution for this system is to harvest the energy sources around it as a backup or eliminate the use of batteries. The output of the hybrid energy harvester method as a solution to energy independence using radio frequency (RF) waves has been optimized in this study. The double-T patch microstrip antenna based on CSRR metamaterial as an RF energy harvester works at the ISM band frequency of 2.45 GHz and has return loss, gain and bandwidth values that are in accordance with the concept of the RF-Energy harvester system. This antenna is capable of absorbing energy using a DC converter circuit at a maximum distance of 6.79 V using 2 access points at the position of the transmitting antenna facing each other with a conversion efficiency of 6.68%. One method to maximize the output of the energy harvester is also carried out in this study by doing a hybrid with a mini solar cell, which is able to carry out constant voltage and can charge the load in the form of a cellphone. The hybrid RF-Energy harvester system designed in this research can be used as a source of energy in smart devices with small power requirements
Modification on Brightness Enhancement for Simple Thresholding in Eyelid Area Measurement
Get PDFThis study aims to calculate eyelid area to classify eye condition become awake or drowsy as the initial stage of a drowsiness detection system. This work used 40x95 matrix of 500 single eye images from 4 respondents. The input image will be processed\ud
into brightness enhancement, grayscaling, thresholding and eyelid area measurement. The problem of thresholding process was to determine the optimal threshold value that can be used on images with different intensities. Brightness enhancement modification is\ud
proposed to equalize the intensity histogram value of the input image based on the reference image. Threshold value based on this modification can be used as optimal threshold value. With this optimal threshold value, the eye condition classification results\ud
show that average accuracy achieved 93.5%
Water Sprouts Detection of Cacao Tree Using Mask Region-based Convolutional Neural Network
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Strawberry Ripeness Classification System Based On Skin Tone Color using Multi-Class Support Vector Machine
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