bluuebunny/crossref_metadata_2025 huggingface dataset:
A NDIR Mid-Infrared Methane Sensor with a Compact Pentahedron Gas-Cell
Authors: Ye Weilin , Tu Zihan , Xiao Xupeng , Simeone Alessandro , Yan Jingwen , Wu Tao , Wu Fupei , Zheng Chuantao , Tittel Frank K.
Published: September 2020

In order to improve the performance of the large divergence angle mid-infrared source in gas sensing, this paper aims at developing a methane (CH4) sensor with non-dispersive infrared (NDIR) technology using a compact pentahedron gas-cell. A paraboloid concentrator, two biconvex lenses and five planar mirrors were used to set up the pentahedron structure. The gas cell is endowed with a 170 mm optical path length with a volume of 19.8 mL. The mathematical model of the cross-section and the three-dimension spiral structure of the pentahedron gas-cell were established. The gas-cell was integrated with a mid-infrared light source and a detector as the optical part of the sensor. Concerning the electrical part, a STM32F429 was employed as a microcontroller to generate the driving signal for the IR source, and the signal from the detector was sampled by an analog-to-digital converter. A static volumetric method was employed for the experimental setup, and 20 different concentration CH4 samples were prepared to study the sensor’s evaluation, which revealed a 1σ detection limit of 2.96 parts-per-million (ppm) with a 43 s averaging time.
EcoSpec: Highly Equipped Tower-Based Hyperspectral and Thermal Infrared Automatic Remote Sensing System for Investigating Plant Responses to Environmental Changes
Authors: Hamada Yuki , Cook David , Bales Donald
Published: September 2020

Despite an advanced ability to forecast ecosystem functions and climate at regional and global scales, little is known about relationships between local variations in water and carbon fluxes and large-scale phenomena. To enable data collection of local-scale ecosystem functions to support such investigations, we developed the EcoSpec system, a highly equipped remote sensing system that houses a hyperspectral radiometer (350–2500 nm) and five optical and infrared sensors in a compact tower. Its custom software controls the sequence and timing of movement of the sensors and system components and collects measurements at 12 locations around the tower. The data collected using the system was processed to remove sun-angle effects, and spectral vegetation indices computed from the data (i.e., the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Photochemical Reflectance Index (PRI), and Moisture Stress Index (MSI)) were compared with the fraction of photochemically active radiation (fPAR) and canopy temperature. The results showed that the NDVI, NDWI, and PRI were strongly correlated with fPAR; the MSI was correlated with canopy temperature at the diurnal scale. These correlations suggest that this type of near-surface remote sensing system would complement existing observatories to validate satellite remote sensing observations and link local and large-scale phenomena to improve our ability to forecast ecosystem functions and climate. The system is also relevant for precision agriculture to study crop growth, detect disease and pests, and compare traits of cultivars.
Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease
Authors: Otte Karen , Ellermeyer Tobias , Vater Tim-Sebastian , Voigt Marlen , Kroneberg Daniel , Rasche Ludwig , Krüger Theresa , Röhling Hanna Maria , Kayser Bastian , Mansow-Model Sebastian , Klostermann Fabian , Brandt Alexander Ulrich , Paul Friedemann , Lipp Axel , Schmitz-Hübsch Tanja
Published: September 2020

Fluctuations of motor symptoms make clinical assessment in Parkinson’s disease a complex task. New technologies aim to quantify motor symptoms, and their remote application holds potential for a closer monitoring of treatment effects. The focus of this study was to explore the potential of a stepping in place task using RGB-Depth (RGBD) camera technology to assess motor symptoms of people with Parkinson’s disease. In total, 25 persons performed a 40 s stepping in place task in front of a single RGBD camera (Kinect for Xbox One) in up to two different therapeutic states. Eight kinematic parameters were derived from knee movements to describe features of hypokinesia, asymmetry, and arrhythmicity of stepping. To explore their potential clinical utility, these parameters were analyzed for their Spearman’s Rho rank correlation to clinical ratings, and for intraindividual changes between treatment conditions using standard response mean and paired t-test. Test performance not only differed between ON and OFF treatment conditions, but showed moderate correlations to clinical ratings, specifically ratings of postural instability (pull test). Furthermore, the test elicited freezing in some subjects. Results suggest that this single standardized motor task is a promising candidate to assess an array of relevant motor symptoms of Parkinson’s disease. The simple technical test setup would allow future use by patients themselves.
Fluorinated Polyimide-Film Based Temperature and Humidity Sensor Utilizing Fiber Bragg Grating
Authors: Xu Xiuxiu , Luo Mingming , Liu Jianfei , Luan Nannan
Published: September 2020

We propose and demonstrate a temperature and humidity sensor based on a fluorinated polyimide film and fiber Bragg grating. Moisture-induced film expansion or contraction causes an extra strain, which is transferred to the fiber Bragg grating and leads to a humidity-dependent wavelength shift. The hydrophobic fluoride doping in the polyimide film helps to restrain its humidity hysteresis and provides a short moisture breathing time less than 2 min. Additionally, another cascaded fiber Bragg grating is used to exclude its thermal crosstalk, with a temperature accuracy of ±0.5 °C. Experimental monitoring over 9000 min revealed a considerable humidity accuracy better than ±3% relative humidity, due to the sensitized separate film-grating structure. The passive and electromagnetic immune sensor proved itself in field tests and could have sensing applications in the electro-sensitive storage of fuel, explosives, and chemicals.
Towards Sustainable Human Resource Development of Convention Project Managers: Job Characteristics and Related Differences in Core Competency
Authors: Yoon Yeonghye , Yan Wenyan , Kim Eunjin
Published: September 2020

There are currently extensive discussions on the remarkable development of the convention industry and the impact on local economies made by convention visitors, but there is limited research on the human resources expertise which is crucial for sustainable and qualitative development in the field of convention. This study aims to examine differences in core competencies based on the type of job characteristics model of convention project managers. Based on the existing literature, quantitative and qualitative mixed-methods design was used. 12 semi-structured interviews were conducted with professionals to define measurements, especially core competencies. Job characteristics and core competencies were identified with a survey of 392 convention PM. By using a cluster analysis, it investigated the differences in perception of competencies according to the job characteristics model. As a result of the analysis, five job characteristics were verified, and core competencies that were not organized were classified. In addition, it was confirmed through the analysis that there is a difference in perception of core competencies according to job characteristics. Based on the results, this study stresses the importance of the qualitative and sustainable development of the convention industry. Theoretical and practical implications were provided to enhance core competencies according to job characteristics for sustainable growth of convention project managers.
CEO Pay Sensitivity (Delta and Vega) and Corporate Social Responsibility
Authors: Ikram Atif , Li Zhichuan (Frank) , MacDonald Travis
Published: September 2020

We use CEO pay sensitivity to stock performance (delta) and stock volatility (vega) to provide empirical evidence that CEO compensation structure influences firm Corporate Social Responsibility (CSR) performance. We find that delta has no significant effect on CSR, while vega has a strong, causal relationship with CSR. Our findings suggest that CEOs do not view CSR as value enhancing, but as a way to increase their own compensation through vega. Firms that want to improve their social performance should consider vega as an important compensation incentive for executives.
Machine Learning-Based Water Level Prediction in Lake Erie
Authors: Wang Qi , Wang Song
Published: September 2020

Predicting water levels of Lake Erie is important in water resource management as well as navigation since water level significantly impacts cargo transport options as well as personal choices of recreational activities. In this paper, machine learning (ML) algorithms including Gaussian process (GP), multiple linear regression (MLR), multilayer perceptron (MLP), M5P model tree, random forest (RF), and k-nearest neighbor (KNN) are applied to predict the water level in Lake Erie. From 2002 to 2014, meteorological data and one-day-ahead observed water level are the independent variables, and the daily water level is the dependent variable. The predictive results show that MLR and M5P have the highest accuracy regarding root mean square error (RMSE)  and mean absolute error (MAE). The performance of ML models has also been compared against the performance of the process-based advanced hydrologic prediction system (AHPS), and the results indicate that ML models are superior in predictive accuracy compared to AHPS. Together with their time-saving advantage, this study shows that ML models, especially MLR and M5P, can be used for forecasting Lake Erie water levels and informing future water resources management.
Sağlık Alanlarında Eğitim Gören Öğrencilerin Skolyoz ile İlgili Bilgi Düzeyi
Authors: KURU ÇOLAK Tuğba , SERMENLİ AYDIN Nimet , SELÇUK Halit , KILIÇ Berivan Beril , YAŞARER Özden , SARI Dilara
Published: September 2020

Skolyoz, omurgada üç boyutlu deformiteye oluşturması nedeniyle fiziksel, psikolojik, sosyal ve kozmetik açıdan önemli bir halk sağlığı sorunudur. Bu araştırmanın amacı Türkiye’de sağlık alanında öğrenim gören lisans öğrencilerinin skolyoz hakkındaki temel bilgi düzeylerininin araştırılmasıdır.

2018 – 2019 öğretim döneminde sağlık bilimleri alanında lisans ve ön lisans öğrencisi olan katılımcılardan araştırmacılar tarafından hazırlanan 17 sorudan oluşan sorgulama formunun online olarak doldurulması istendi. Veriler SPSS v.22.0 ile tanımlayıcı yöntemler kullanılarak analiz edildi.

Çalışmaya 60 farklı üniversitede öğrenim gören 611 öğrenci katıldı. Katılımcıların %83,6’sı (n=511) skolyozu ‘omurga eğriliği’ olarak tanımladı. Fizyoterapi lisans öğrencilerinin %87,7’si ve Tıp Fakültesi öğrencilerinin %82,2’si skolyoz teriminin tanımını bilmekteydi. Öğrencilerin %40’ı skolyozdan şüphesi olduğunda bireyleri hangi sağlık profesyoneline göndermesi gerektiğini biliyordu. Öğrencilerin bilgi düzeyi öğretim yıllarının artması ile artmaktaydı.

Çalışmamızın sonucu 4. sınıf öğrencilerinin önemli bir kısmının skolyoz ile ilgili temel bilgi düzeyine sahip olmadan mezun olacağını göstermiştir. Erken tanı için toplumda skolyoz farkındalığının artması gerekmektedir, toplumsal farkındalığın artması da öncelikli olarak sağlık çalışanlarının farkındalığının ve bilgi düzeylerinin artması ile mümkün olabilir.
Astragalus fasciculifolius manna; antinociceptive, antiinflammatoryand antioxidant properties in mice
Authors: Shahrani Mehrdad , Asgharzadeh Najmeh , Torki Akram , Asgharian Shirin , Lorigooini Zahra
Published: September 2020

Introduction: Inflammation is one of the body›s natural defence mechanisms alongside the cells or tissues damage due to various stimuli or infections. Pain is one of the greatest common symbols associated with different diseases. Therefore, researchers are trying to find new medications that bring patients relief with fewer side effects. Herbal medicine has been used for periods to treat acute and chronic pains. Objectives: This research evaluated the anti-inflammatory, antinociceptive and antioxidant properties of Astragalus fasciculifolius manna extract. Materials and Methods: The anti-inflammatory and antioxidant potency of the extract were determined by xylene test and ferric reducing antioxidant power assay. Results: Astragalus fasciculifolius manna extract at doses of 400, 800 and 1200 mg/kg significantly reduced acetic acid-induced writhing and formalin-induced paw licking (late and early phase) but did not affect mechanical hyperalgesia caused by heat. Moreover, naloxone failed to inhibit the antinociceptive activity of the extract. The extract of A. fasciculifolius manna also exhibited high anti-inflammatory activity against xylene induced ear edema. Treatment of mice with the extract did not improve serum antioxidant capacity. Conclusion: Results of the present research showed that A. fasciculifolius manna can prevent pain and inflammation because of the presence of high amount of saponin.
As Vivências do Lazer na Cultura Gótica
Authors: Silva Ana Paula Mukoyama , Stoppa Edmur Antonio
Published: September 2020

O trabalho teve como objetivo analisar as vivências dos participantes da cultura gótica no seu tempo de lazer, na região central de São Paulo, a fim de compreender os sentidos e significados destas dentro da cultura gótica. Os principais resultados da pesquisa estão relacionados ao espaço enquanto ambiente propício à sociabilidade, ao encontro entre os participantes, além de outras questões relevantes e polêmicas como o consumo de diferentes drogas, conflitos verbais e/ou físicos entre diferentes culturas juvenis, o que aponta a precariedade das políticas públicas de lazer voltadas para a juventude, uma vez que tais problemas poderiam ser minimizados se a política de lazer da cidade, articulada com outras políticas sociais, tivesse um olhar mais sensível às características das diferentes culturas juvenis.
Generation of dislocation clusters at triple junctions of random angle grain boundaries during cast growth of silicon ingots
Authors: Ohno Yutaka , Tajima Kazuya , Kutsukake Kentaro , Usami Noritaka
Published: September 2020

Three-dimensional distribution of grain boundaries (GBs) and generation sources of dislocation clusters is examined in a cast-grown high-performance multicrystalline silicon ingot for commercial solar cells. A significant number of dislocations are generated nearby some triple junctions of random angle GBs, although it is believed that such non-coherent GBs would not induce large strain during the cast growth. This explosive generation of dislocations would take place when the triple junctions are interacted with multiple Σ3{111} GBs. A segment of the random angle GB connected with a pair of Σ3{111} GBs nearby the triple junction would act as a dislocation source.
Broadening bandgap of thermocrystal by tailoring air hole
Authors: Xu Kaiyuan , Jiang Chun
Published: September 2020

Thermocrystal is a new type of artificial periodic crystal structure, which reduces the thermal conductivity of materials. The main factor affecting the thermal conductivity of thermocrystals is the coverage area between the bandgap frequency range and the thermal spectrum. In this letter, we found that, compared with the circular air hole, the elliptical air hole can significantly improve the thermal bandgap of thermocrystal, which will effectively reduce the thermal conductivity. Among them, the cross-shaped ellipse air hole can widen the thermal bandgap of thermocrystal to more than twice. This improves the efficiency of heat transfer by 62%.
Network Intrusion Detection using a Deep Learning Approach
Authors:   Associate Professor, Department of Computer Engineering, Pravara Rural Engineering College, Loni, Rahata, Ahmednagar, India., Mandhare V. V. , Pede D. R. ,   Department of Computer Engineering, Pravara Rural Engineering College, Loni, Rahata, Ahmednagar, India., Vikhe P. S. ,   Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Rahata, Ahmednagar, India.
Published: September 2020

At present situation network communication is at high risk for external and internal attacks due to large number of applications in various fields. The network traffic can be monitored to determine abnormality for software or hardware security mechanism in the network using Intrusion Detection System (IDS). As attackers always change their techniques of attack and find alternative attack methods, IDS must also evolve in response by adopting more sophisticated methods of detection .The huge growth in the data and the significant advances in computer hardware technologies resulted in the new studies existence in the deep learning field, including ID. Deep Learning (DL) is a subgroup of Machine Learning (ML) which is hinged on data description. The new model based on deep learning is presented in this research work to activate operation of IDS from modern networks. Model depicts combination of deep learning and machine learning, having capacity of wide range accurate analysis of traffic network. The new approach proposes non-symmetric deep auto encoder (NDAE) for learning the features in unsupervised manner. Furthermore, classification model is constructed using stacked NDAEs for classification. The performance is evaluated using a network intrusion detection analysis dataset, particularly the WSN Trace dataset. The contribution work is to implement advanced deep learning algorithm consists IDS use, which are efficient in taking instant measures in order to stop or minimize the malicious actions.
Placement of PV Units Considering Uncertainties of Generation and Load in Distribution Systems
Authors:   EEE, JIMS Engineering Management Technical Campus, Greater Noida, (U.P.), India., Parashar Anshu , Pandey Anand Kumar ,   EEE, JSS Academy of technical education, Noida, (U.P.), India., Rai Ritesh ,   EEE, JIMS Engineering Management Technical Campus, Greater Noida, (U.P.), India.
Published: September 2020

In conventional power system the transmission and distribution (T&D) losses is a major concern. Renewable energy resources placed at load centers can reduce the T&D losses. For power system planners and researchers it is essential to find the optimal size and position of renewable energy resources to be place in distribution networks. Renewable energy source such as solar energy is abundantly present in the environment. With the help of solar photovoltaic (SPV) system solar energy can be converted to electrical energy. Placement of SPV in distribution system is an interesting area for researchers and planners, the random placement of SPV in distribution system leads to more power losses and poor voltage profile. In this article mathematical modelling of time varying nature of SPV and variable load has been explained and particle swarm optimization (PSO) method is proposed to find the best size and location of the SPV system. This method is tested on IEEE 33 bus system. For the validation of result existing technique based on analytical expression is selected. It is found that PSO gives better result in compare to analytical method.
SBC Based Diabetic Retinopathy and Diabetic Macular Edema Classification System using Deep Convolutional Neural Network
Authors:   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines., S. Reyes Anicia Coleen , C. Milan Gem Ryan ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines., M. Quilaton James Marvin ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines., G. Sigue Bryant Exel ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines., E. Arellano Steven Valentino ,   Computer Engineering Department, College of Engineering, and Graduate School, University of Perpetual Help System Laguna, City of Biñan, Laguna, Philippines., Karamihan Kenneth C. ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna,  Philippines.
Published: September 2020

This Raspberry Pi Single-Board Computer-Based Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) Classification System using Deep Convolutional Neural Network through Inception v3 Transfer Learning and MATLAB digital image processing paradigm based on International Clinical DR and DME Disease Severity Scale with Python application, which would capture the image of the retina of diabetic patients to classify the grade, severity, and types of DR; and the grade of DME without using dilating drops. It would also display, save, search and print the partial diagnosis that can be done to the patients. Diabetic patients, endocrinologists and ophthalmologists of one of the medical centers in City of San Pedro, Laguna, Philippines tested the system. Obtained results indicated that the classification of DR and DME, and its characteristics using the system were accurate and reliable, which could be an assistive device for endocrinologists and ophthalmologists.
Design and Implementation of an Efficient Rose Leaf Disease Detection using K Nearest Neighbours
Authors:   Department of Computer Science & Engineering, B.M.S College of Engineering, V.T.U Belgaum, Bengaluru, Karnataka, India., K Swetharani , Prasad Vara ,   Department of Computer Science & Engineering,, B.M.S College of Engineering, V.T.U Belgaum, Bengaluru, Karnataka, India.
Published: September 2020

Plants are prone to different diseases caused by multiple reasons like environmental conditions, light, bacteria, and fungus. These diseases always have some physical characteristics on the leaves, stems, and fruit, such as changes in natural appearance, spot, size, etc. Due to similar patterns, distinguishing and identifying category of plant disease is the most challenging task. Therefore, efficient and flawless mechanisms should be discovered earlier so that accurate identification and prevention can be performed to avoid several losses of the entire plant. Therefore, an automated identification system can be a key factor in preventing loss in the cultivation and maintaining high quality of agriculture products. This paper introduces modeling of rose plant leaf disease classification technique using feature extraction process and supervised learning mechanism. The outcome of the proposed study justifies the scope of the proposed system in terms of accuracy towards the classification of different kind of rose plant disease.
Different Types of Attacks on Block Ciphers
Authors:   Department of Basic Engineering Sciences, Benha Faculty of Engineering, Benha University, Egypt., Hafez Wageda , Saeed Hala ,   Department of Basic Engineering Sciences, Benha Faculty Of Engineering, Benha University, Egypt., Elwakeil Ali N. ,   Department of Basic Engineering Sciences, Benha Faculty Of Engineering, Benha University, Egypt.
Published: September 2020

Cryptanalysis is a very important challenge that faces cryptographers. It has several types that should be well studied by cryptographers to be able to design cryptosystem more secure and able to resist any type of attacks. This paper introduces six types of attacks: Linear, Differential, Linear-Differential, Truncated differential Impossible differential attack and Algebraic attacks. In this paper, algebraic attack is used to formulate the substitution box(S-box) of a block cipher to system of nonlinear equations and solve this system by using a classical method called Grobner Bases. By Solving these equations, we made algebraic attack on S-box.
Maximizing Machine Capacity by Improving Efficiency using Linear Programming Model
Authors:   Associate professor, Department of Mechanical Engineering, Manakula Vinayagar Institute of Technology, Pondicherry, India., Sivasankaran P. , Radjaram B. ,   Professor and Head, Department of Mechanical Engineering, Manakula Vinayagar Institute of Technology, Pondicherry, India., Karthigayan K. ,   Assistant Professor, Department of Mechanical Engineering, Manakula Vinayagar Institute of Technology, Pondicherry, India.
Published: September 2020

In the global manufacturing system, machine performance is considered to be one of the vital role in organization wellbeing. In specific analysing the capacity utilization of machines in each shift is a big challenging job in industrial organization. The primary importance is keeping the machines in uptime condition at the same time loading the jobs in machines decides the capacity usage of machines to do the useful jobs. In this paper focus is made on the capacity planning of machines in production shift. capacity utilization measures the actual capacity of machine with respect to the potential output within a specific period. In real situations if the demand for the product increases the production capacity also increases but at the same time if the demand falls capacity will also become very low. Hence in this work attempt has been made to develop a mathematical model for machine capacity planning using linear programming model solved by using LINDO software.
Improving the Legal Framework and Social Policy in the Context of a Pandemic
Authors:   Doctor of Law, Professor of Tashkent State Law University., Abdurashidovna Mukhitdinova Firyuza , Mеlievich Mukhamedov Хaidarali ,   doctor of legal Sciences, Professor, Tashkent state law University
Published: September 2020

The article examines the essence of social policy in the field of support in the context of a pandemic. The analysis of the situation in the social sphere and its structural components in the Republic of Uzbekistan in the context of the pandemic is given. It is proposed to improve the legislative framework for improving social protection and living standards of the country’s population, as well as to modernize the system of state guarantees in the social sphere.
Reducing Defects on Cam Shaft by Six Sigma Methodology
Authors:   Professor, Department of Mechanical Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, India., Farooqui Dr. MD. K. M. , Sekhar Dr. K V L. Soma ,   Professor, Department of Mechanical Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, India., Seshagirrao Mr. D. V. ,   Assistant Professor, Department of Mechanical Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, India., Nagasrinivas P. ,   Assistant Professor, Department of Mechanical Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, India., Prasad S. Durga ,   UG Student, Department of Mechanical Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, Andhra Pradesh, India.
Published: September 2020

The efficiency of an IC engine is mainly depends on opening and closing of inlet and outlet valves. The valves are operated by cam shaft. So cam shaft must be free from defects to maintain proper combustion of a internal combustion engine. Thus we are focusing to reduce the defects and improving quality in the manufacturing process and operations of a cam shaft in manufacturing industry for different automotives. In camshaft manufacturing the considerable defects are material selection, changing their mechanical properties while machining, temperature defects, casting defects, tolerances and surface roughness. So manufactured cam shaft has to overcome above defects for safe operating of valves. Six Sigma is a business technique and a methodical philosophy utilization of which prompts achievement in benefit through quantum gain in item quality, consumer loyalty and efficiency. The goal was to diminish the quantity of deformities to as low as 3.4 parts per million chances. Methodology used: DMAIC is one of the tool of six sigma used to improve the process and also to find root causes for any problem to reduce the defects occuring in any industry. we are using DMAIC tool to reduce defects and improve quality. DMAIC stands for define, measure, analyze, improve, control.
Innovative Way to Decrease the Water Consumption of Direct Evaporative Air Cooler
Authors:   Student, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India., Chaudhuri Mr. Jahidul Haque , Deb Mr. Rohan ,   Student, Department of Civil Engineering, National Institute of Technology Agartala, Jirania, India., De Dr. Jhinuk ,   Assistant Professor, Department of Chemistry, National Institute of Technology Agartala, Jirania, India.
Published: September 2020

In the present study the existing direct evaporative coolers (DEC) is modified in such a way that DEC consume less amount of water and provide better cooling effect. In desert area, water consumption by air cooler is a serious problem. Therefore, the present study addressed this issue and primary objective of the study is to minimize the consumption of water. For this purpose, the property of the endothermic reaction is utilized. There are few salts that produce endothermic reaction if it is diluted in water. Those salt crystals absorb heat from the surrounding environment (water) and ultimately the temperature of the overall solution gets reduced. This cold solution is then passed through honeycomb cooling pad, as a result more amount of air can be cooled using the same volume of water as compared to the traditional air-cooler. Ammonium Chloride (NH4Cl), Ammonium Nitrite (NH4NO3) salts satisfy the basic criteria for the endothermic reaction but NH4Cl will be more useful to use in the air-coolers, as Ammonium Nitrite is costlier and also hazardous. A salt water separator arrangement also attached with modified air-cooler which will help to regenerate Ammonium Chloride crystal from solution with the help of solar energy. In this study, firstly discussed about proposed design of an air-cooler system, which is able to nicely handle chemical solution. Then compared the study with experimental outcome which have been carried out with and without using salt. From the result it has been observed that modified design of air cooler has great potential to improve the traditional air cooler in terms of cooling effect and water consumption.
Techniques for Malignant Melanoma Diagnosis A Systematic Literature Review
Authors:   Software Engineering, Universidad Nacional Mayor de San Marcos, Lima, Peru., Poclin Meza Carlos I. , Corrales Kevin L. Monteza ,   Software Engineering, Universidad Nacional Mayor de San Marcos, Lima, Peru., Wong Portillo Lenis R. ,   Software Engineering, Universidad Nacional Mayor de San Marcos, Lima, Peru.
Published: September 2020

Malignant melanoma is the deadliest type of skin cancer. If melanoma detection and diagnosis is performed in its early stages, the probabilities of recovery and survival are higher. Dermoscopy is a manual method which is applied by doctors to diagnose this disease, but it strongly depends on the experience of the specialist who performs this skin assessment. Although, many proposals have been made for automated detection and diagnosis of malignant melanoma based on images processing, there are still improvement opportunities for melanoma diagnosis. This paper aims to identify the current status of the latest researches related to techniques for malignant melanoma diagnosis based on images analysis, considering the three research questions that have been elaborated for the systematic literature review: Q1) Which are the latest methods for malignant melanoma detection? Q2) Which systems for malignant melanoma diagnosis have been implemented in the last 5 years? And Q3) Which CAD systems for malignant melanoma detection have been developed? Furthermore, a cross-analysis of the outcome was performed. The results propose the implementation of systems using Inception V3 and the classifier Support Vector Machine, which achieved high accuracies in malignant melanoma diagnosis based on images processing.
Machine Learning and Deep Learning Techniques Features and Obstacles in the Cataract Diagnosis
Authors:   Faculty of Software and Computer Engineering, National University of San Marcos, Lima, Peru., Ñuflo Isaac , Mecca Franco ,   Faculty of Software and Computer Engineering, National University of San Marcos, Lima, Peru., Wong Lenis ,   Faculty of Software and Computer Engineering, National University of San Marcos, Lima, Peru.
Published: September 2020

Cataract is a degenerative condition that, according to estimations, will rise globally. Even though there are various proposals about its diagnosis, there are remaining problems to be solved. This paper aims to identify the current situation of the recent investigations on cataract diagnosis using a framework to conduct the literature review with the intention of answering the following research questions: RQ1) Which are the existing methods for cataract diagnosis? RQ2) Which are the features considered for the diagnosis of cataracts? RQ3) Which is the existing classification when diagnosing cataracts? RQ4) And Which obstacles arise when diagnosing cataracts? Additionally, a cross-analysis of the results was made. The results showed that new research is required in: (1) the classification of “congenital cataract” and, (2) portable solutions, which are necessary to make cataract diagnoses easily and at a low cost.
V C Digital Controlled DC DC Converter
Authors:   M.tech, Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., Sravani R. , Reddy P.Deepak ,   Associate Professor, Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India.
Published: September 2020

In this paper, the switching of dc-dc converter using voltage/current digital control is proposed. It is the combination of existed digital average voltage and digital average current controls. The stability analysis of V/C digital controlled dc-dc converter is derived by using sampled data model. The transient analysis of V/C digital controlled dc-dc converter is also derived by using z-domain small signal model. The proposed V/C digital controlled dc-dc converter has over current protection, fast load transient response, no sub-harmonic oscillations at any value of duty cycle, and wider stability range. The proposed system is analysed with a simple buck converter. The output voltage and inductor current weighting factors influence the stability boundary and transient performances of V/C digital controlled dc-dc converter. The stability analysis and transient analysis is investigated and verified by circuit simulations.
Design of Compact MIMO Antenna for 5G Mobile Terminal
Authors:   ME Student (ECE), NITTTR, Chandigarh, India., Mathew Susamma , Saini Garima ,   Associate Professor (ECE), NITTTR, Chandigarh, India., Gill S.S ,   Professor and Head(ECE), NITTTR, Chandigarh, India.
Published: September 2020

This report gives the research work carried out for design and analysis of MIMO antenna using two identical Microstrip slot radiators having enhanced isolation. The slot radiators offer compact size in order to accommodate other electronic components for reduction of volume of the wireless communication system. The defected ground structure is formed on the ground plane in between the antenna elements and feed lines to improve the isolation between them. The substrate used for constructing the antenna is FR-4 having the measurements of 26mm x 22mm x 0.8mm and it has the relative permittivity of 4.4. The printed microfilm strip etched on the opposite side of the substratum is used to couple the signal to each antenna. The HFSS software is used in this paper for designing the antenna and for checking the performance of the antenna. The -10dB bandwidth is 1.1GHz in the frequency range of 3.1 GHZ to 4.2GHz. The maximum isolation obtained after simulation is -23.1dB at 3.13GHz. The maximum gain of 2.26dB is obtained. Simulated radiation diagram of the designed antenna indicates that it is a good radiator for 5G applications in the sub 6GHz frequency band.
Health and Housing for Urban Poor in India Post Covid 19
Authors:   Master of Urban Planning, Department of Architecture, Birla Institute of Technology, Mesra, India., Aditi
Published: September 2020

The COVID-19 pandemic has built a troublesome new standard for everybody through shelter-in-place systems and physical and social distancing guidelines. Yet for billions of urban underprivileged, certain guidelines aren’t merely troublesome; they’re radically impracticable. Social and physical distancing is a severely significant acknowledgement to the pandemic COVID-19 however, it additionally implies that occupants must have sufficient space, services and social security nets to sustain such an order. It is candidly not the fact over cities in Asia, Latin America and Africa. Health facilities and services are deficient in terms of the transition from state to local level causing negligence of slum areas at global to micro-level. These dwellers of slums area accustomed to unhygienic and un-sanitized environment much on a regular basis. Majority of slums are vastly located near urban centers i.e. in and around in economically less developed countries, experiencing urbanization at a greater rate compared to more developed countries. Many countries often lack the ability to provide infrastructure like roads, affordable housing, basic services like water, sanitation etc., sufficiently for in-fluxing people in the cities due to urbanization creating a big concern for the country. Health policies need to consider equity and social justice for urban poor in order to equally uplift them in the society. The paper deals with the issues faced by the urban poor in India and the programs and policies that had been issued over time during the past which could not suffice to positively impact the downfalls of these people. The paper also highlights the health conditions of these urban poor and the areas where it has been lacking behind. The pandemic has caused the nation to come to a halt but the urban poor having no such privilege to comply with the situation are forced to thrive in degrading conditions. The research paper will help figure out trigger areas for downfall of these inhabitants of the nation and formulate strategies to counteract the same in post COVID-19 situation.
Implementation of Iterative bilateral filtering for removal of Rician noise in MR images using FPGA
Authors:   Department of Electronics and Telecommunication, PES’s Modern College of Engineering, Pune, India., Pathrikar Mrs. Durga , Jirafe Prof. Mrs. V. N. ,   Professor, Department of Electronics and Telecommunication, PES’s Modern College of Engineering, Pune, India.
Published: September 2020

Magnetic resonance image noise reduction is important to process further and visual analysis. Bilateral filter is denoises image and also preserves edge. It proposes Iterative bilateral filter which reduces Rician noise in the magnitude magnetic resonance images and retains the fine structures, edges and it also reduces the bias caused by Rician noise. The visual and diagnostic quality of the image is retained. The quantitative analysis is based on analysis of standard quality metrics parameters like peak signal-to-noise ratio and mean structural similarity index matrix reveals that these methods yields better results than the other proposed denoising methods for MRI. Problem associated with the method is that it is computationally complex hence time consuming. It is not recommended for real time applications. To use in real time application a parallel implantation of the same using FPGA is proposed.
Trends in Development Private Ownership of land and land Parcels in Uzbekistan Scientific and Theoretical Analysis
Authors:   Professor, Department of Civil Law, Tashkent State University of Law, Tashkent, Uzbekistan., Mirodilzhon Baratov , Khikmatilla Tukhtashev ,   Department of Tashkent State University of Law, Tashkent, Uzbekistan.
Published: September 2020

the article analyzes the stages of privatization of non-agricultural land and the stages of their development. It also analyzed the theoretical aspects and studied the peculiarities of developed countries Peru, Poland, France and the United States in the area of land privatization. In the article recommendations and conclusions on the development of existing legislation were developed based on foreign and domestic experience in land privatization.
Voice Controlled Fire Fighting Robot
Authors:   Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India., K.V Mehareethaa , P Chaarumathi ,   Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India., S.R Divya ,   Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India., R Divyajothi ,   Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India., V Kamalkumar ,   Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
Published: September 2020

Even though there are a lot of advancements in technology, there have been an increased number of devastating losses in the field of fire-fighting. Fire accidents that occur in industries like atomic power plants, petroleum refineries, chemical factories and other large-scale fire industries end in quite serious consequences which can cause injuries or even death of individuals. Therefore, this paper is enhanced to develop an automated fire extinguishing robotic vehicle that saves the lives of firefighters and other persons in those areas. The proposed robotic vehicle is controlled using specified speech commands. The language input is more familiar which makes interaction with the robotic vehicle much easier. The advantages of voice-controlled robots are hands-free and rapid data input operations. The speech recognition process is done in such a way that it recognizes specified commands from the user and the designed robot navigates based on the instructions via the speech commands. The fire can be extinguished using a water tank that is fitted along with the robotic vehicle. Consequently, the site of fire is live monitored using ESP 32 and the status of the fire zone is updated to the user through message.
Prenatal Development of Incisors in the Egyptian Buffalo (Bos bubalis)
Authors: Mostafa Mohamed , El-Sayed Mesbah , Farag Salah , Youssef Galal
Published: September 2020

Objective: The teeth play important roles in food mastication, prehension and defense against predators. Although several studies demonstrated the development of teeth in diﬀerent mammalian species, no data are, to our knowledge, available in Egyptian buffalos. Therefore, the present investigation was conducted to study the development of incisor teeth in buffaloe.
Design: Descriptive study.
Animals: seventeen buffalo embryos and fetuses of both sexes were used. Their crown vertebral rump lengths (CVRL) ranged from 2 to 46 cm (equivalent to 38 - 177 days old).
Procedure: Embryos and fetuses were fixed in 10% neutral buffered formalin and decalcified by 14% EDTA solution for several weeks. The samples were dehydrated, cleared and embedded in paraffin wax using standard techniques. Sections were cut on Leitz microtome and mounted on uncoated slides. For general histological structure, a selection of slides was routinely stained with haematoxylin–eosin and examined by the light microscope.
Result: The present study reported for the first time that the prenatal development of incisors in buffalo passes through three sequential stages: the bud, cap and bell stages. Although each stage was easily differentiated based on its form and its distinct developmental features, the three stages were overlapped with each other’s. Generally, the bud stage was observed in 11 cm CVRL buffalo fetuses, meanwhile the cap and bell stages were detected in 23 cm and 30 cm CVRL fetuses respectively.
Conclusion and clinical relevance: These results can be used as inductive index for determination of the ages of buffalo embryos and fetuses.
THE APPLICATION OF SKOPOS THEORY IN THE SONG LYRICS “HINGGA AKHIR WAKTU” TRANSLATED BY CHRISTIAN BAUTISTA
Authors: Iswara Jati Widya
Published: September 2020

The aims of this study were to analyze how many translation strategies found as applied in translating process of song lyrics entitled Hingga Akhir Waktu translated into English version by Chirstian Bautista as a singer and also the translator. The data were analyzed by Rainer Schulte and John Biuret’s translation strategies. Since the data consists of words and sentences, qualitative descriptive was applied in this research. The result of the study showed that there were certain types of translation strategies found in the process of translating song lyrics. The findings showed that the rules of Skopos theory in the translating process were running well.

Keywords: Skopos Theory; Translation Strategies; Song Lyrics; Hingga Akhir Waktu
Zakat Sebagai Pengentasan Kemiskinan dan Pembangunan Perekonomian Umat (Telaah Pengelolaan Zakat Pada Masa Khulafaur Rasyidin)
Authors: Nuriana Mutia Azizah , Achmad Khomarudin
Published: September 2020

Artikel ini membahas secara deskriptif mengenai fungsi zakat dalam kehidupan masyarakat dimasa khulafaurasyidin. dengan menggunakan pendekatan sejarah social  menjadikan kehidupan sosial-ekonomi pada masa Khulafaur Rasyidin, khususnya berkaitan dengan penerapan zakat. Pada masa pemerintahan Khulafaurasyidin zakat menjadi instrument utama dalam mengentaskan kemiskinan maupun membangun perekonomian umat. Kebijakan yang dikeluarkan para khalifah semua mengarah kepada pengentasan kemiskinan dan juga pengembangan perekonomian umat. Dalam mengentaskan kemiskinan melalui sarana pelayanan dan bantuan. Sedangkan dalam pembangunan perekonomian umat melalui pendayaguanaan zakat, Zakat memiliki peran dan fungsi secara bersamaan, secara sepiritual dan social maka zakat dapat menjadi solusi di dalam masalah kemiskinan dan pembangunan perekonomian
PEDIATRIC EWING'S SARCOMA – AN EXPERIENCE IN A TERTIARY CANCER CARE CENTER IN NORTH EAST INDIA
Authors: Hazarika Munlima , Sarangi Satya S , Saikia Bhargab J , Roy Partha S , Borthakur Bibhuti Bhusan , Bhattacharyya Mouchumee , Sarma Anupam
Published: September 2020

Due to limited clinical data in paediatric Ewing’s sarcoma, the aim of this study was to evaluate the demographic characteristics and identifying prognostic factors for survival. We retrospectively reviewed 66 patients with paediatric Ewing’s sarcoma. Median age of presentation was 10 years. Male: Female ratio was 1:1.Femur was the most common site of involvement 13.6% (9/66). The median survival in this study was 52 months. Three and five year survival rate of these patients was 52% and 45% respectively. One out of the 7 patients (14.2%) who did not initiate treatment was alive at the time of analysis whereas 4 out of 8 (50%) patients were alive with incomplete treatment and 35 out of 51 patients (68.6%) were alive who completed treatment and this difference was statistically significant (p<.001).Those patients who completed the treatment protocol had a better survival as compared to those who defaulted or refused treatment.
LYMPHANGIOMA OF A RARE SITE AND AT RARER AGE OF PRESENTATION: A CASE REPORT
Authors: Rijhsinghani Archana N
Published: September 2020

Lymphangiomas are benign lesions characterized by the proliferation of lymphatic spaces, primarily diagnosed in children. It most often occur in the head, neck, axilla, or groin. Infrequently, intra-abdominal lymphangiomas are diagnosed in adults, primarily located in the mesentery. Author wish to discuss this case due to its rare site and age of presentation.