A Study On The Water Quality Improvement Of The Songdo Waterfront\u27s Canal System

This study aims to investigate the flow conditions in the proposed canal system to be located in Songdo District, Incheon. Incheon Free Economic Zone (IFEZ) is concerned about the potential issues like water quality and algal problems, which will greatly affect the success of the Songdo waterfront development.Thus there is a need to ensure that natural stream flow and good water quality will maintain. In order to do this, a 3D numerical model, MIKE 3 FM was setup and used to investigate the water circulation system with respect to the operation of the four water gates present at the ends of the canal system, where ideal configurations of the gate operations were determined. The model was computed water quality change under various tidal conditions. The results given by the numerical model will be used as indications for a preconstruction plan of the Songdo canal system.By annual period simulation using real measured data from Incheon coast, analyse the polluted water from songdo city’s land inflow which is large influence to canal water quality. BOD, Nitrogen and phosphorous parameter from land are increased and influence to WQI(Water Quality Index). In canal WQI is 3~4 points that is higher than costal WQI which is increased by polluted water from land inflow. So we analyse the water quality change impacted by polluted land inflow and suggest a method to alleviate polluted water in Songdo waterfront’s canal system. Acknowledgments This research was supported by a grant (12-TI-C01) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government

Comparison of implant methods for penis enlargement

Male dissatisfaction with the penis size is the most common manifestation of penile dysmorphophobia. Despite the diversity of penis enlargement methods a single safe technique that fully satisfies patients has not yet been developed. The aim of this work is to compare the results of a combined operation on installation of a silicone implant or a collagen matrix impregnated with autologous stem cells with simultaneous ligamentotomy to increase the length and circumference of the penis. In 2017–2022 there were performed penis enlargement surgeries in 2 centers. In Public Non-Profit Organization Of The Kharkiv District Council «Kharkiv Regional Clinical Center Of Urology And Nephrology Named After V.I.Shapoval (Kharkiv, Ukraine) 38 patients from Ukraine and Poland were operated by Professor Knigavko O.V. with implantation of a porous Max Pol matrix (manufactured by Dersmithson, M.D. Choi), and in the “Mexico phalloplastic center” (Mexico city, Mexico) by Dr. Aguilar I.E. implantation of non-absorbable silicone implants in 36 patients was perfomed. The results of penis enlargement were evaluated in the early (2 months) and long-term (6 months) terms. While implanting a silicone implant the majority of the patients – 31 (86.1%) are satisfied with the result, 27 (75%) patients mention an improvement in sexual life, 31 (86.1%) also mention an increase in their own self-sufficiency. At the same time, some patients mentioned the following complications: 2 (5.6%) patients mentioned displacement of the silicone matrix, 1 (2.8%) patient mentioned prolapse of the matrix, 1 (2.8%) patient mentioned a decrease in erection (which did not improve after removal of the matrix), in 1 (2.8%) case the silicone implant had to be removed due to the fact that the patient did not liked the appearance. While using a collagen-like matrix made of polymerized polylactic acid impregnated with own stem cells in 38 patients, we haven’t seen any complications that caused the removal of the matrix

A CPW-Fed Rectangular Ring Monopole Antenna for WLAN Applications

We present a simple coplanar waveguide- (CPW-) fed rectangular ring monopole antenna designed for dual-band wireless local area network (WLAN) applications. The antenna is based on a simple structure composed of a CPW feed line and a rectangular ring. Dual-band WLAN operation can be achieved by controlling the distance between the rectangular ring and the ground plane of the CPW feed line, as well as the horizontal vertical lengths of the rectangular ring. Simulated and measured data show that the antenna has a compact size of 21.4×59.4 mm2, an impedance bandwidths of 2.21–2.70 GHz and 5.04–6.03 GHz, and a reflection coefficient of less than −10 dB. The antenna also exhibits an almost omnidirectional radiation pattern. This simple compact antenna with favorable frequency characteristics therefore is attractive for applications in dual-band WLAN

Performance Characteristics of a Refrigerator-Freezer with Parallel Evaporators using a Linear Compressor

A linear compressor for a domestic refrigerator-freezer has energy saving potential compared with a reciprocating compressor because of a low friction loss and free piston system. A linear compressor can control the piston stroke since it does not have mechanical restriction of piston movement. Therefore, the energy consumption of a domestic refrigerator-freezer using a linear compressor can be reduced by changing the cooling capacity of the compressor. In order to investigate the performance of a refrigerator-freezer with parallel evaporators using a linear compressor and the relation between cooling capacity of the linear compressor and cooling load, experimental simulation is conducted with variation of the capacity of a linear compressor, an ambient temperature, and cooling load. In addition, the power consumption of a linear compressor is compared to that of an inverter reciprocating compressor in a refrigerator-freezer. The performance of a linear compressor is measured with variation of the capacity of a linear compressor from 60% to 100% of the maximum capacity in a refrigerator-freezer. Based on the experimental data, the power consumption of a linear compressor is reduced by 22.4% with 70% capacity compared to 100% but on-time ratio is increased by 12.8%

Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning

A correction method using machine learning aims to improve the conventional linear regression (LR) based method for correction of atmospheric pressure data obtained by smartphones. The method proposed in this study conducts clustering and regression analysis with time domain classification. Data obtained in Gyeonggi-do, one of the most populous provinces in South Korea surrounding Seoul with the size of 10,000 km2, from July 2014 through December 2014, using smartphones were classified with respect to time of day (daytime or nighttime) as well as day of the week (weekday or weekend) and the user’s mobility, prior to the expectation-maximization (EM) clustering. Subsequently, the results were analyzed for comparison by applying machine learning methods such as multilayer perceptron (MLP) and support vector regression (SVR). The results showed a mean absolute error (MAE) 26% lower on average when regression analysis was performed through EM clustering compared to that obtained without EM clustering. For machine learning methods, the MAE for SVR was around 31% lower for LR and about 19% lower for MLP. It is concluded that pressure data from smartphones are as good as the ones from national automatic weather station (AWS) network

Sparked Reduced Graphene Oxide for Low-Temperature Sodium Beta Alumina Batteries

Wetting Na metal on the solid electrolyte of a liquid Na battery determines the operating temperature and performance of the battery. At low temperatures below 200 degrees C, liquid Na wets poorly on a solid electrolyte near its melting temperature (T-m = 98 degrees C), limiting its suitability for use in low-temperature batteries used for large-scale energy-storage systems. Herein, we propose the use of sparked reduced graphene oxide (rGO) that can improve the Na wetting in sodium-beta alumina batteries (NBBs), allowing operation at lower temperatures. Experimental and computational studies indicated rGO layers with nanogaps exhibited complete liquid Na wetting regardless of the surface energy between the liquid Na and the graphene oxide, which originated from the capillary force in the gap. Employing sparked rGO significantly enhanced the cell performance at 175 degrees C; the cell retained almost 100% Coulombic efficiency after the initial cycle, which is a substantial improvement over cells without sparked rGO. These results suggest that coating sparked rGO is a promising but simple strategy for the development of low-temperature NBBs. © 2019 American Chemical Society11sciescopu

First record of Cordilura shatalkini Ozerov, 1997 and Cordilura nubecula Sasakawa, 1986 (Diptera: Scathophagidae) from Korea

The species of the genus Cordilura Fallén are not well studied in Korea with only one known species. In this study, Cordilura shatalkini and Cordilura nubecula are reported for the first time in Korea with a new key to the species of Cordilura from Korea

Information Analysis on Foreign Institution for International R&D Collaboration Using Natural Language Processing

The number of international collaborations in research and development (R&D) has been increasing in the energy sector to solve global environmental problems—such as climate change and the energy crisis—and to reduce the time, cost, and risk of failure. Successful international project planning requires the analysis of research fields and the technology expertise of cooperative partner institutions or countries, but this takes time and resources. In this study, we developed a method to analyze the information on research organizations and topics, taking advantage of data analysis as well as deep learning natural language processing (NLP) models. A method to evaluate the relative superiority of efficient international collaboration was suggested, assuming international collaboration of the National Renewable Energy Laboratory (NREL) and the Korea Institute of Energy Research (KIER). Additionally, a workflow of an automated executive summary and a translation of tens of web-posted articles is also suggested for a quick glance. The valuation of the suggested methodology is estimated as much as the annual salary of an experienced employee

Estimate-based goodness-of-fit test for large sparse multinomial distributions

The Pearson's chi-squared statistic (X2) does not in general follow a chi-square distribution when it is used for goodness-of-fit testing for a multinomial distribution based on sparse contingency table data. We explore properties of [Zelterman, D., 1987. Goodness-of-fit tests for large sparse multinomial distributions. J. Amer. Statist. Assoc. 82 (398), 624-629] D2 statistic and compare them with those of X2 and compare the power of goodness-of-fit test among the tests using D2, X2, and the statistic (Lr) which is proposed by [Maydeu-Olivares, A., Joe, H., 2005. Limited- and full-information estimation and goodness-of-fit testing in 2n contingency tables: A unified framework. J. Amer. Statist. Assoc. 100 (471), 1009-1020] when the given contingency table is very sparse. We show that the variance of D2 is not larger than the variance of X2 under null hypotheses where all the cell probabilities are positive, that the distribution of D2 becomes more skewed as the multinomial distribution becomes more asymmetric and sparse, and that, as for the Lr statistic, the power of the goodness-of-fit testing depends on the models which are selected for the testing. A simulation experiment strongly recommends to use both D2 and Lr for goodness-of-fit testing with large sparse contingency table data.