The Study of Midinfrared Extremely Narrow Dual-Band Absorber Based on a Novel Metamaterial Structure

Due to the problems that the metal pattern layer on the top of the traditional metamaterial structure is easy to be oxidized and easy to fall off, in this paper, a novel semiconductor metamaterial nanostructure composed of a periodic array of GaAs-SiO2 cubes and a gold (Au) film has been proposed. Using FDTD solutions software to prove this metamaterial structure can achieve ultranarrow dual-band, nearly perfect absorption with a maximum absorbance of 99% and a full-width at half-maximum (FWHM) value that is less than 20 nm in the midinfrared region. The refractive index sensitivity is demonstrated by changing the background index and analyzing the absorption performance. It had been proved that this absorber has high sensitivity (2000/RIU and 1300/RIU). Using semiconductor material instead of the metal material of the top pattern layer can effectively inhibit the performance failure of the metamaterial structure caused by metal oxidation. The proposed narrow, dual-band metamaterial absorber shows promising prospects in applications such as infrared detection and imaging.

A Dynamic Data Driven and Data Segregation Approach Image Restoration Using Neural Networks

Image restoration is the method of restoring an image to its original state by removing noise and blur. Image disclarity is crucial to maintain in a variety of cases, including photography, where motion blur is caused by camera shake when taking images, radar imaging, where the impact of image system reaction is removed, and so on. Image noise is an unwanted signal that appears in an image from a sensor, such as a power / energy signal, or from the atmosphere, such as rain or snow. Coding artefacts, resolution limitations, transmission noise, object motion, camera shake, or a confluence of events could cause image degradation. With the intention of separating HF and LF objects, image decomposition is used to decompose the distorted image into a pattern layer (High Frequency Component) and a framework layer (Low Frequency Component).

Prediksi Harga Rumah Menggunakan General Regression Neural Network

Rumah merupakan salah satu kebutuhan manusia selain sandang dan pangan. Hirarki Kebutuhan Maslow menyebutkan bahwa rumah adalah salah satu Physiological Needs. Dewasa ini, kebutuhan akan rumah sering dijadikan sebagai sumber investasi bagi pengusaha properti yang tentunya menghasilkan investasi yang tidak dapat diremehkan. Keuntungan dalam jual beli rumah dijadikan alasan bagi seseorang dalam melakukan transaksi jual beli rumah itu sendiri. Sehingga munculah harga yang tidak terprediksi pada harga rumah yang ada. Penelitian ini menggunakan General Regression Neural Network sebagai pemodelannya. GRNN menggunakan dasar regresi non linear dimana strukturnya terdiri dari 4 layer, yaitu Input Layer, Pattern Layer, Summation Layer dan Output Layer. Variabel dependen yang digunakan berjumlah 6. Terdiri dari tanggal transaksi, jarak rumah dari stasiun MRT, jumlah toko atau minimarket yang dekat dengan rumah, umur rumah, dan letak geografis berupa longitude dan latitude. Variabel independen berupa harga rumah dalam satuan luas Ping yang selanjutnya dikonversi menjadi 10.000 New Dollar Taiwan/Ping. Hasil yang didapatkan berupa data actual dan data predicted yang divisualisasikan dengan line plot. Dilakukan juga uji akurasi dan uji kinerja pemodelan menggunakan 3 jenis evaluasi dengan hasil dari ketiga jenis evaluasi tersebut adalah 58,72 untuk skor MSE, skor 7,66 untuk RMSE dan 5,99 untuk skor MAE.

Tunable Broadband THz Waveband Absorbers Based On Graphene for Digital Coding

A method of coding patterns is proposed to achieve flexible control of absorption response at terahertz frequencies. The designed absorber consists of an Au-graphene pattern layer, a SiO2 layer and a metal reflective layer. Among them, we use concentrical circle structure to achieve broadband absorption, and adjust graphene’s Fermi level to achieve tunable absorption. In addition, we propose an encoding method that can achieve flexible control of the absorption response at the terahertz frequency based on the external voltage applied on the graphene membrane, thereby having a programmable function. We also use COMSOL to simulate the electric field distribution diagram to explain the underlying physical mechanism. The programmable broadband adjustable absorber proposed in this paper has potential application prospects in the fields of optical equipment, information transmission, digital coding and artificial intelligence (AI).

PERANCANGAN SISTEM PENDETEKSIAN KANTONG KOSONG PADA 662-BT1 UNTUK MENGURANGI FREKUENSI BAG GAP PADA 672-PA1

ABSTRACTA Packhouse is one of the cement packing area commonly exist in a cement plant. There are 2 primary machines used in packing cement process, namelya packer machine and a palletizer. A palletizer is an equipment for organizing the cemet bag on the pallet. The cement are organized in twotypes of pattern layer either 3&2 or 2&3 pattern. An alignment belt is utilized in order to set the position of bag based of the pattern. Furthermore, the timing belt provides a function to ensure gap between cement more than 100mm. If the gap is not achieved, the palletizer will be switched off the automation system, and show the bag gap notification. In december, it was recorded 365 times of palletizer automation failure caused by bag gap alarm. Therefore, there are 22.995 product loses. Most of bag gap problem is caused by an empty bag. The position of the failed product (empty cement bag)stick with the cement product.To prevent the empty bag enters the palletizer system by evacuating it pass through the belt trap, an additional photocell sensor can be added. It has the function to detect lenght of cement bag and gives an input to controller (PLC). The PLC process the input based on the time interval detection.The sistem will active if the set point in its program is reached.Thetrigger sensor detects the failed product.Furthermore, 662-BT1 will reject the cement bag.The aim of this study is design the system to deccrease the frequency of system failure caused by failed cement bag that enters the palletizer system. This willhelp the system when the problem rises.Implementation of this system decreases the bag gap alarm caused by the empty bag. Thus, the performance of palletizer will increase.Key words :bag gap, PLC,overlap, belt trap.ABSTRAKPackhouse adalah area packing semen yang terdapat pada setiap pabrik semen. Terdapat dua alat utama yang digunakan dalam proses packing semen yaitu: Packer Machine dan Palletizer. Palletizer adalah alat yang digunakan untuk menata semen di atas pallet. Semen tersebut terdiri dari 2 pattern layer yaitu: pattern 3 2 dan pattern 2 3.Posisi semen diatur pada alignment belt, alignment belt mendapat umpan semen dari Timing Belt, timing belt berfungsi memastikan jarak antar semen yang diumpan tidak kurang dari 100 mm. Jika jarak antar semen tidak tercapai maka palletizer akan mematikan sistem otomatisasinya, dan akan menampilkan alarm bag gap. Pada bulan desember 365 kali kegagalan sistem otomatisasi palletizer disebabkan oleh alarm bag gap dan menyebabkan loses sejumlah 22.995 produk. Salah satu penyebab bag gap adalah adanya kantong semen kosong yang terevakuasi oleh packer machine dan terbaca oleh sensor pada palletizer yang berfungsi untuk mendeteksi jarak antar kantong semen. Posisi kantong semen kosong tersebut overlap dengan kantong semen.Pencegahan kantong kosong masuk kedalam sistem palletizer yaitu mengeluarkannya dari sistem transport melalui belt trap, dengan cara menambahkan sensor photocell dan program pada PLC. Sensor photocell berfungsi mendeteksi panjang semen dan memberi inputan pada PLC, PLC mengolah inputan berdasarkan lama waktu pendeteksian kantong semen, jika setpoint tercapai dan produk terdeteksi sensor trigger maka 662-BT1 akan bekerja untuk mengeluarkan produk dari transport. Tujuan dari studi ini adalah merancang sistem untuk mengurangi frekuensi kegagalan pada sistem yang sudah ada akibat adanya kantong semen kosong yang masuk kedalam sistem palletizer dan mempermudah proses penanganan. Setelah penerapan sistem ini aktifnya alarm bag gap akibat adanya bag kosong dapat berkurang dan produktifitas palletizer dapat meningkat.Kata kunci :bag gap, PLC,overlap, belt trap.

Determination of Optimum Process Parameter Values in Additive Manufacturing for Impact Resistance

3D printing as a manufacturing method is gaining more popularity since 3D printing machines are becoming easily accessible. Especially in a prototyping process of a machine, they can be used, and complex parts with high quality surface finish can be manufactured in a timely manner. However, there is a need to study the effects of different manufacturing parameters on the materials properties of the finished parts. Specifically, this chapter explains the effects of six different process parameters on the impact resistance. In particular, print temperature, print speed, infill ratio, infill pattern, layer height, and print orientation parameters were studied, and their effects on impact resistance were measured experimentally. Moreover, the optimum values of the process parameters for impact resistance were found. This chapter provides an important guideline for 3D manufacturing in terms of impact resistance of the printed parts. Furthermore, by using this methodology the effects of different 3D printing process parameters on the other material, properties can be determined.