141 research outputs found
Perancangan dan Penerapan Metode K-Means untuk Memprediksi Penjualan Toko Arya Elektrik
No full textIn a shop, the product is a staple that is sold and bought. There are products in the store between products that sell well and products that don't sell. Given this problem, it is necessary to create a system that can classify products that sell, products that sell well, and products that don't sell well, which was carried out at the Arya Elektrik Store and carried out from March to July 2022. The K-Means algorithm is not affected by the order of objects used. used, this is proven when the author tries to randomly determine the starting point of the cluster center of one of the objects at the start of the calculation. The number of cluster memberships generated is the same when using another object as the starting point for the cluster center. However, this only affects the number of iterations performed. The purpose is to create applications and analyze product sales at the Arya Elektrik Store using the K-Means method. With this system, it can provide convenience benefits for analyzing the grouping of product sales at the Arya Elektrik Store, determining and classifying product sales that are selling well, very selling, and less selling. The method used to collect data is observation and interviews. With this application, shop owners can see the results of grouping these products. So, if there are products that don't sell well, shop owners can look for other alternatives so that products that don't sell can be sold.Pada sebuah toko, produk merupakan bahan pokok yang dijual belikan. Produk di toko terdapat antara produk yang laku dengan produk yang tidak laku. Dengan adanya masalah ini, perlu untuk menciptakan sistem yang dapat mengelompokkan produk laku, produk sangat laku, dan produk yang kurang laku, yang dilakukan di Toko Arya Elektrik dan dilaksanakan pada bulan Maret sampai Juli 2022. Algoritma K-Means tidak terpengaruh terhadap urutan objek yang digunakan, hal ini dibuktikan ketika penulis mencoba menentukan secara acak titik awal pusat cluster dari salah satu objek pada permulaan perhitungan. Jumlah keanggotaan cluster yang dihasilkan berjumlah sama ketika menggunakan objek yang lain sebagai titik awal pusat cluster tersebut. Namun, hal ini hanya berpengaruh pada jumlah iterasi yang dilakukan. Tujuan untuk membuat aplikasi dan menganalisis penjualan produk pada Toko Arya Elektrik menggunakan metode K-Means. Dengan adanya sistem ini dapat memberikan manfaat kemudahan untuk menganalisis pengelompokkan penjualan produk pada Toko Arya Elektrik, menentukan dan mengklasifikasikan penjualan produk yang laku, sangat laku, dan kurang laku. Metode yang digunakan pengumpulan data adalah observasi dan wawancara. Dengan adanya aplikasi ini, pemilik toko dapat melihat hasil pengelompokkan produk tersebut. Maka, bila terdapat produk yang tidak laku, pemilik toko dapat mencari alternative lain agar produk yang tidak laku dapat menjadi laku.
Kata kunci: K-means, Produk, Klaste
CMOS Development and Optimization, Scaling Issue and Replacement with High-K Material for Future Microelectronics
No full textA 0.7 V, Ultra-Wideband Common Gate LNA with Feedback Body Bias Topology for Wireless Applications
No full textAn ultra-wideband (UWB) low noise amplifier (LNA) for 3.3⁻13.0 GHz wireless applications using 90 nm CMOS is proposed in this paper. The proposed LNA uses an improved common-gate (CG) topology utilizing feedback body biasing (FBB), which improves noise figure (NF) by a considerable amount. Parallel-series tuned LC network was used between the common-gate first stage and the cascoded common-source (CS) stage to achieve the maximum signal flow from CG to CS stage. Improved CS topology with a series inductor at the drain terminal in the second stage connected and cascoded CS third stage provides high power gain (S21) and bandwidth enhancement throughout the complete UWB. A common-drain buffer stage at the output provides high output reflection coefficient (S22). It achieves an average power gain (S21) of 14.7 ± 0.5 dB with a noise figure (NF) of 3.0⁻3.7 dB. It has an input reflection coefficient (S11) less than −11.7 dB for 3.3⁻13.0 GHz frequency and output reflection coefficient (S22) of less than −10.6 dB with a very high reversion isolation (S12) of less than −72.4 dB. It consumes only 5.2 mW from a 0.7 V power supply
Role of Narrow Band Imaging in Relation to Stroboscopy and White Light Laryngoscopy in Diagnosis of Benign Nonvascular Glottic Lesions
No full textABSTRACT
Objective
To evaluate the role of narrow band imaging (NBI) in detecting benign nonvascular glottic lesions.
Materials and methods
Our study is a retrospective and prospective analysis of 247 patients with suspected benign glottic lesions who presented to our voice clinic over a 6-month duration. Patients were diagnosed on stroboscopy (by the first author) and divided into three groups consisting of leukoplakia, sulci, and cysts. A white light (WL) laryngoscopy and NBI examination was performed by an independent laryngologist (not an author) followed by a comparative analysis. The final gold standard for diagnosis was microlaryngoscopy with or without histopathology. Sensitivity of each modality for diagnosis of the three groups was calculated.
Results
The NBI is more sensitive for diagnosing leukoplakia. Stroboscopy is more sensitive for diagnosing sulcus.
Conclusion
Small vocal fold lesions may be missed on WL laryngoscopy. Stroboscopy helps in the diagnosis of structural glottic lesions affecting mucosal wave pattern. Many studies have shown that NBI light highlights the vasculature in superficial mucosal and subepithelial layers. This study is an analysis of the value of NBI in detecting relatively avascular glottic lesions, such as leukoplakia, sulci, and cysts.
How to cite this article
Nerurkar NK, Shedge AE, Gupta HK, Arya AA. Role of Narrow Band Imaging in Relation to Stroboscopy and White Light Laryngoscopy in Diagnosis of Benign Nonvascular Glottic Lesions. Int J Phonosurg Laryngol 2017;7(1):1-5.
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Uncertainties related to strain measurements in piles
No full textIn recent years, distributed fiber optic sensing (DFOS) technology has been widely used in monitoring the strains developed in the structures.The main focus of this report is to identify strains distribution while hammering/jacking pile and analyzing the uncertainties between the theoretical, measured strain through datalogger in concrete and steel piles. This assessment is done to gain confidence over the feasibility of using DFOS technology. Fiber optic cables are embedded all along the length of the concrete and steel piles with ends connected to the datalogger. To confirm the accuracy of the datalogger, other strain measuring devices like load cell and strain gauges are also glued to the piles. For both the piles load with in the yield limit is applied and strains are measured. fTb 2505 datalogger posses high accuracy with lower spatial resolution where as Luna Odisi datalogger has high spatial resolution and less accuracy which can be directly reflected through the strains obtained from both datalogger. Results obtained from steel pile reflects that strains obtained from Luna Odisi datalogger and load cell matches with in the accuracy and with no slippage . But for concrete piles fTb 2505 datalogger shows more fluctuating strains as compared to the strain gauges with uncertainties included in both the devices.Civil Engineerin
A Novel Method to Compensate Fiber Nonlinearities by Using NAFO Model
No full textAbstract
This paper proposes the Nonlinear Adaptive Filter bank–based artificial bee colony Optimizer (NAFO) based on Wiener filter for inverse modeling of nonlinear fiber link. Here a third-order inverse Volterra-based nonlinear equalizer (VNLE) is used to compensate the fiber nonlinearities using MATLAB Simulink. In the novel method the Mean Square Error (MSE) of the optical link is measured and compared with IIR-filter based technique. The MSE is reported to be 10–14 value lesser in the novel experimental setup consequently the proposed technique shows enhanced and efficient performance.</jats:p
Lamb shift as a witness for quantum noninertial effects
Get PDFThe sustained intense experimental activity around atomic spectroscopy and
the resulting high-precision measurements of atomic spectral lines attract
interest in Lamb shift as a witness for noninertial effects in quantum systems.
We investigate the Lamb shift in a two-level system undergoing uniform circular
motion and coupled to a quantum electromagnetic field inside a cavity. We show
that when the separation between different cavity modes is large compared to
the width of each cavity mode, both the inertial and noninertial contributions
to the Lamb shift are convergent. In addition, we find that the
purely-noninertial Lamb shift maximizes away from the atomic resonance by an
amount decided by the angular frequency of the circulating atom, lending itself
to efficient enhancement by a suitable tuning of the cavity parameters. We
argue that the noninertial contribution becomes detectable at accelerations
.Comment: 12 pages, 3 figures. Presentation improved and explanations adde
Design of 10.24 Tb/s DWDM System Using NRZ Modulation Format with Narrow Channel Spacing
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