bluuebunny/crossref_metadata_2025 huggingface dataset:
Axial Compressive Behavior of Geopolymer Recycled Lump Concrete
Authors: Zhang Haiyan , Liu Jiancheng , Wu Bo , Zhang Zhijian
Published: January 2020

To reduce the environmental pollution from cement production and the damage to natural resources from aggregate mining in the concrete industry, a relatively new concrete, termed geopolymer recycled lump concrete (GRLC), which uses geopolymer as the binding material to replace traditional cement and uses large demolished concrete lumps (DCLs) to partly replace concrete, is prepared in this study. Cubic and cylindrical GRLC specimens containing fresh geopolymer concrete and DCLs were tested under axial compression with various parameters, including the compressive strength levels of both fresh geopolymer concrete and DCLs, and the replacement ratio of DCLs. The compressive behavior of the GRLC specimens was compared with traditional cement recycled lump concrete (CRLC) specimens, with test results showing that GRLC specimens possess higher compressive strength than CRLC specimens under the same experimental conditions, which is due to the strengthening effect that fresh geopolymer concrete has on the DCLs. From the scanning electron microscope pattern of the GRLC specimen, it is found that the geopolymer bonds well with the old mortar attached to DCLs. As the replacement ratio increases from 0% to 33%, the elastic modulus of GRLC increases by 5%–11% but Poisson’s ratio remains almost constant (in the 0.16–0.17 range). Based on the measured strength and the predicted results, which coincide with one another well, a modified method for predicting the compressive strength of GRLC cubic and cylindrical specimens is proposed.
Developing a New Robust Swarm-Based Algorithm for Robot Analysis
Authors: Umar Abubakar , Shi Zhanqun , Khlil Alhadi , Farouk Zulfiqar I. B.
Published: January 2020

Metaheuristics are incapable of analyzing robot problems without being enhanced, modified, or hybridized. Enhanced metaheuristics reported in other works of literature are problem-specific and often not suitable for analyzing other robot configurations. The parameters of standard particle swarm optimization (SPSO) were shown to be incapable of resolving robot optimization problems. A novel algorithm for robot kinematic analysis with enhanced parameters is hereby presented. The algorithm is capable of analyzing all the known robot configurations. This was achieved by studying the convergence behavior of PSO under various robot configurations, with a view of determining new PSO parameters for robot analysis and a suitable adaptive technique for parameter identification. Most of the parameters tested stagnated in the vicinity of strong local minimizers. A few parameters escaped stagnation but were incapable of finding the global minimum solution, this is undesirable because accuracy is an important criterion for robot analysis and control. The algorithm was trained to identify stagnating solutions. The algorithm proposed herein was found to compete favorably with other algorithms reported in the literature. There is a great potential of further expanding the findings herein for dynamic parameter identification.
Improvement of the Corrosion Resistance of Biomedical Zr-Ti Alloys Using a Thermal Oxidation Treatment
Authors: Izquierdo Javier , Mareci Daniel , Bolat Georgiana , Santana Juan J. , Rodríguez-Raposo Raquel , Fernández-Mérida Luis C. , Burtan Liviu , Trincă Lucia C. , Souto Ricardo M.
Published: January 2020

Binary Zr-Ti alloys spontaneously develop a tenacious and compact oxide layer when their fresh surface is exposed either to air or to aqueous environments. Electrochemical impedance spectroscopy (EIS) analysis of Zr-45Ti, Zr-25Ti, and Zr-5Ti exposed to simulated physiological solutions at 37 °C evidences the formation of a non-sealing bilayer oxide film that accounts for the corrosion resistance of the materials. Unfortunately, these oxide layers may undergo breakdown and stable pitting corrosion regimes at anodic potentials within the range of those experienced in the human body under stress and surgical conditions. Improved corrosion resistance has been achieved by prior treatment of these alloys using thermal oxidation in air. EIS was employed to measure the corrosion resistance of the Zr-Ti alloys in simulated physiological solutions of a wide pH range (namely 3 ≤ pH ≤ 8) at 37 °C, and the best results were obtained for the alloys pre-treated at 500 °C. The formation of the passivating oxide layers in simulated physiological solution was monitored in situ using scanning electrochemical microscopy (SECM), finding a transition from an electrochemically active surface, characteristic of the bare metal, to the heterogeneous formation of oxide layers behaving as insulating surfaces towards electron transfer reactions.
High Temperature and Corrosion Properties of A Newly Developed Fe-Al-O Based OPH Alloy
Authors: Khalaj Omid , Saebnoori Ehsan , Jirková Hana , Chocholatý Ondřej , Svoboda Jiří
Published: January 2020

Fe–Al–O-based materials are currently undergoing a great deal of development because of their many special properties. However, lack of strength at high temperatures, limited ductility at ambient temperatures and corrosion resistance have hindered a wider application of these materials. Recently, a new Fe–Al-based oxide precipitation hardened (OPH) steel was developed by the authors to improve the mechanical properties and oxidation resistance. The new OPH alloys are produced by dissolving a specific amount of oxygen in the matrix during mechanical alloying followed by precipitation of fine dispersion of aluminum or yttrium oxides during hot consolidation. A series of tests was performed to evaluate the thermomechanical properties and corrosion resistance in a 3.5% NaCl solution. The results show improved corrosion resistance, as well as mechanical properties, while the production costs of this material are lower than for traditional materials.
Feeding Strategies of Two-Stage Fed-Batch Cultivation Processes for Microbial Lipid Production from Sugarcane Top Hydrolysate and Crude Glycerol by the Oleaginous Red Yeast Rhodosporidiobolus fluvialis
Authors: Poontawee Rujiralai , Limtong Savitree
Published: January 2020

Microbial lipids are able to produce from various raw materials including lignocellulosic biomass by the effective oleaginous microorganisms using different cultivation processes. This study aimed to enhance microbial lipid production from the low-cost substrates namely sugarcane top hydrolysate and crude glycerol by Rhodosporidiobolus fluvialis DMKU-SP314, using two-stage fed-batch cultivation with different feeding strategies in a 3 L stirred-tank fermenter. The effect of two feeding strategies of 147.5 g/L crude glycerol solution was evaluated including pulse feeding at different starting time points (48, 24, and 72 h after initiation of batch operation) and constant feeding at different dilution rates (0.012, 0.020, and 0.033 h−1). The maximum lipid concentration of 23.6 g/L and cell mass of 38.5 g/L were achieved when constant feeding was performed at the dilution rate of 0.012 h−1 after 48 h of batch operation, which represented 1.24-fold and 1.27-fold improvements in the lipid and cell mass concentration, respectively. Whereas, batch cultivation provided 19.1 g/L of lipids and 30.3 g/L of cell mass. The overall lipid productivity increased to 98.4 mg/L/d in the two-stage fed-batch cultivation. This demonstrated that the two-stage fed-batch cultivation with constant feeding strategy has the possibility to apply for large-scale production of lipids by yeast.
Data Prediction of Mobile Network Traffic in Public Scenes by SOS-vSVR Method
Authors: Zheng Xiaoliang , Lai Wenhao , Chen Hualiang , Fang Shen
Published: January 2020

Accurate base station traffic data in a public place with large changes in the amount of people could help predict the occurrence of network congestion, which would allow us to effectively allocate network resources. This is of great significance for festival network support, routine maintenance, and resource scheduling. However, there are a few related reports on base station traffic prediction, especially base station traffic prediction in public scenes with fluctuations in people flow. This study proposes a public scene traffic data prediction method, which is based on a   v Support Vector Regression (vSVR) algorithm. To achieve optimal prediction of traffic, a symbiotic organisms search (SOS) was adopted to optimize the vSVR parameters. Meanwhile, the optimal input time step was determined through a large number of experiments. Experimental data was obtained at the base station of Huainan Wanda Plaza, in the Anhui province of China, for three months, with the granularity being one hour. To verify the predictive performance of vSVR, the classic regression algorithm extreme learning machine (ELM) and variational Bayesian Linear Regression (vBLR) were used. Their optimal prediction results were compared with vSVR predictions. Experimental results show that the prediction results from SOS-vSVR were the best. Outcomes of this study could provide guidance for preventing network congestion and improving the user experience.
Smartphone Application-Enabled Apple Fruit Surface Temperature Monitoring Tool for In-Field and Real-Time Sunburn Susceptibility Prediction
Authors: Wang Bin , Ranjan Rakesh , Khot Lav R. , Peters R. Troy
Published: January 2020

Heat stress and resulting sunburn is a major abiotic stress in perineal specialty crops. For example, such stress to the maturing fruits on apple tree canopies can cause several physiological disorders that result in considerable crop losses and reduced marketability of the produce. Thus, there is a critical technological need to effectively monitor the abiotic stress under field conditions for timely actuation of remedial measures. Fruit surface temperature (FST) is one of the stress indicators that can reliably be used to predict apple fruit sunburn susceptibility. This study was therefore focused on development and in-field testing of a mobile FST monitoring tool that can be used for real-time crop stress monitoring. The tool integrates a smartphone connected thermal-Red-Green-Blue (RGB) imaging sensor and a custom developed application (‘AppSense 1.0’) for apple fruit sunburn prediction. This tool is configured to acquire and analyze imagery data onboard the smartphone to estimate FST. The tool also utilizes geolocation-specific weather data to estimate weather-based FST using an energy balance modeling approach. The ‘AppSense 1.0’ application, developed to work in the Android operating system, allows visual display, annotation and real-time sharing of the imagery, weather data and pertinent FST estimates. The developed tool was evaluated in orchard conditions during the 2019 crop production season on the Gala, Fuji, Red delicious and Honeycrisp apple cultivars. Overall, results showed no significant difference (t110 = 0.51, p = 0.6) between the mobile FST monitoring tool outputs, and ground truth FST data collected using a thermal probe which had accuracy of ±0.4 °C. Upon further refinements, such tool could aid growers in real-time apple fruit sunburn susceptibility prediction and assist in more effective actuation of apple fruit sunburn preventative measures. This tool also has the potential to be customized for in-field monitoring of the heat stressors in some of the sun-exposed perennial and annual specialty crops at produce maturation.
Aggregate Impact of Anomalous Noise Events on the WASN-Based Computation of Road Traffic Noise Levels in Urban and Suburban Environments
Authors: Alías Francesc , Orga Ferran , Alsina-Pagès Rosa Ma , Socoró Joan Claudi
Published: January 2020

Environmental noise can be defined as the accumulation of noise pollution caused by sounds generated by outdoor human activities, Road Traffic Noise (RTN) being the main source in urban and suburban areas. To address the negative effects of environmental noise on public health, the European Environmental Noise Directive requires EU member states to tailor noise maps and define the corresponding action plans every five years for major agglomerations and key infrastructures. Noise maps have been hitherto created from expert-based measurements, after cleaning the recorded acoustic data of undesired acoustic events, or Anomalous Noise Events (ANEs). In recent years, Wireless Acoustic Sensor Networks (WASNs) have become an alternative. However, most of the proposals focus on measuring global noise levels without taking into account the presence of ANEs. The LIFE DYNAMAP project has developed a WASN-based dynamic noise mapping system to analyze the acoustic impact of road infrastructures in real time based solely on RTN levels. After studying the bias caused by individual ANEs on the computation of the A-weighted equivalent noise levels through an expert-based dataset obtained before installing the sensor networks, this work evaluates the aggregate impact of the ANEs on the RTN measurements in a real-operation environment. To that effect, 304 h and 20 min of labeled acoustic data collected through the two WASNs deployed in both pilot areas have been analyzed, computing the individual and aggregate impacts of ANEs for each sensor location and impact range (low, medium and high) for a 5 min integration time. The study shows the regular occurrence of ANEs when monitoring RTN levels in both acoustic environments, which are especially common in the urban area. Moreover, the results reveal that the aggregate contribution of low- and medium-impact ANEs can become as critical as the presence of high-impact individual ANEs, thus highlighting the importance of their automatic removal to obtain reliable WASN-based RTN maps in real-operation environments.
Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation
Authors: Šabanovič Eldar , Žuraulis Vidas , Prentkovskis Olegas , Skrickij Viktor
Published: January 2020

Nowadays, vehicles have advanced driver-assistance systems which help to improve vehicle safety and save the lives of drivers, passengers and pedestrians. Identification of the road-surface type and condition in real time using a video image sensor, can increase the effectiveness of such systems significantly, especially when adapting it for braking and stability-related solutions. This paper contributes to the development of the new efficient engineering solution aimed at improving vehicle dynamics control via the anti-lock braking system (ABS) by estimating friction coefficient using video data. The experimental research on three different road surface types in dry and wet conditions has been carried out and braking performance was established with a car mathematical model (MM). Testing of a deep neural networks (DNN)-based road-surface and conditions classification algorithm revealed that this is the most promising approach for this task. The research has shown that the proposed solution increases the performance of ABS with a rule-based control strategy.
Wavelet-Based Filtration Procedure for Denoising the Predicted CO2 Waveforms in Smart Home within the Internet of Things
Authors: Vanus Jan , Fiedorova Klara , Kubicek Jan , Gorjani Ojan Majidzadeh , Augustynek Martin
Published: January 2020

The operating cost minimization of smart homes can be achieved with the optimization of the management of the building’s technical functions by determination of the current occupancy status of the individual monitored spaces of a smart home. To respect the privacy of the smart home residents, indirect methods (without using cameras and microphones) are possible for occupancy recognition of space in smart homes. This article describes a newly proposed indirect method to increase the accuracy of the occupancy recognition of monitored spaces of smart homes. The proposed procedure uses the prediction of the course of CO2 concentration from operationally measured quantities (temperature indoor and relative humidity indoor) using artificial neural networks with a multilayer perceptron algorithm. The mathematical wavelet transformation method is used for additive noise canceling from the predicted course of the CO2 concentration signal with an objective increase accuracy of the prediction. The calculated accuracy of CO2 concentration waveform prediction in the additive noise-canceling application was higher than 98% in selected experiments.
Design of Quad-Port MIMO/Diversity Antenna with Triple-Band Elimination Characteristics for Super-Wideband Applications
Authors: Kumar Pawan , Urooj Shabana , Alrowais Fadwa
Published: January 2020

A compact, low-profile, coplanar waveguide (CPW)-fed quad-port multiple-input–multiple-output (MIMO)/diversity antenna with triple band-notched (Wi-MAX, WLAN, and X-band) characteristics is proposed for super-wideband (SWB) applications. The proposed design contains four similar truncated–semi-elliptical–self-complementary (TSESC) radiating patches, which are excited through tapered CPW feed lines. A complementary slot matching the radiating patch is introduced in the ground plane of the truncated semi-elliptical antenna element to obtain SWB. The designed MIMO/diversity antenna displays a bandwidth ratio of 31:1 and impedance bandwidth (|S11| ≤ − 10 dB) of 1.3–40 GHz. In addition, a complementary split-ring resonator (CSRR) is implanted in the resonating patch to eliminate WLAN (5.5 GHz) and X-band (8.5 GHz) signals from SWB. Further, an L-shaped slit is used to remove Wi-MAX (3.5 GHz) band interferences. The MIMO antenna prototype is fabricated, and a good agreement is achieved between the simulated and experimental outcomes.
Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty
Authors: Zhao Yan , Zhang Jing , Hu Gaoge , Zhong Yongmin
Published: January 2020

This paper presents a new set-membership based hybrid Kalman filter (SM-HKF) by combining the Kalman filtering (KF) framework with the set-membership concept for nonlinear state estimation under systematic uncertainty consisted of both stochastic error and unknown but bounded (UBB) error. Upon the linearization of the nonlinear system model via a Taylor series expansion, this method introduces a new UBB error term by combining the linearization error with systematic UBB error through the Minkowski sum. Subsequently, an optimal Kalman gain is derived to minimize the mean squared error of the state estimate in the KF framework by taking both stochastic and UBB errors into account. The proposed SM-HKF handles the systematic UBB error, stochastic error as well as the linearization error simultaneously, thus overcoming the limitations of the extended Kalman filter (EKF). The effectiveness and superiority of the proposed SM-HKF have been verified through simulations and comparison analysis with EKF. It is shown that the SM-HKF outperforms EKF for nonlinear state estimation with systematic UBB error and stochastic error.
Multiple Object Tracking for Dense Pedestrians by Markov Random Field Model with Improvement on Potentials
Authors: Liu Peixin , Li Xiaofeng , Wang Yang , Fu Zhizhong
Published: January 2020

Pedestrian tracking in dense crowds is a challenging task, even when using a multi-camera system. In this paper, a new Markov random field (MRF) model is proposed for the association of tracklet couplings. Equipped with a new potential function improvement method, this model can associate the small tracklet coupling segments caused by dense pedestrian crowds. The tracklet couplings in this paper are obtained through a data fusion method based on image mutual information. This method calculates the spatial relationships of tracklet pairs by integrating position and motion information, and adopts the human key point detection method for correction of the position data of incomplete and deviated detections in dense crowds. The MRF potential function improvement method for dense pedestrian scenes includes assimilation and extension processing, as well as a message selective belief propagation algorithm. The former enhances the information of the fragmented tracklets by means of a soft link with longer tracklets and expands through sharing to improve the potentials of the adjacent nodes, whereas the latter uses a message selection rule to prevent unreliable messages of fragmented tracklet couplings from being spread throughout the MRF network. With the help of the iterative belief propagation algorithm, the potentials of the model are improved to achieve valid association of the tracklet coupling fragments, such that dense pedestrians can be tracked more robustly. Modular experiments and system-level experiments are conducted using the PETS2009 experimental data set, where the experimental results reveal that the proposed method has superior tracking performance.
Tea for Well-Being: Restaurant Atmosphere and Repurchase Intention for Hotel Afternoon Tea Services
Authors: Lin Shin-Yi , Chang Chia-Chi
Published: January 2020

Afternoon tea has become a popular leisure activity in Taiwan. Most hotels, restaurants, and cafes have started to provide an afternoon tea service in addition to their regular menus. Restaurant atmosphere research has largely focused on single environmental factors in upscale restaurants. Several studies have indicated that a restaurant’s atmosphere influences the degree of customer satisfaction, thereby affecting their well-being and repurchase intention. However, the relationships between a restaurant’s overall atmosphere, its degree of service performance, and customer well-being have rarely been explored. This study utilized the Mehrabian–Russell environmental psychology model to investigate the relationships between hotel restaurant atmosphere, service performance, customer well-being, and repurchase intention for afternoon tea services. The results indicated that a hotel restaurant’s atmosphere and service performance influence customer well-being, which can positively affect customers’ repurchase intentions.
COMMUNICATIVE PARADIGM IN REFLECTIONS OF THE EDUCATIONAL PROCESS
Authors: Sakun Ayta
Published: January 2020

The dominant feature of today is the “knowledge society” – a worldview and scientific concept, updated by social, cultural and philosophical discourses in the process of a thorough rethinking of the theory of “information society”.
Gaining increasing popularity in connection with the problematization of the cognitive dimensions of education, economics and technology, this concept gains a modern definition: it is a society whose development is based on internal polyphony and the individual abilities of each of its representatives. Thus, in modern society, not only “information”, but also “knowledge” plays a special role. The separation and differentiation of these two concepts are of fundamental importance. The modern era (having reached the definition of the "era of knowledge") brings a new understanding of "knowledge".
ACTITUD DE LOS TRABAJADORES ANTE LOS RIESGOS LABORALES EN LAS PEQUEÑAS Y MEDIANAS EMPRESAS (PYMES)
Authors: Moreno Georlin , Salazar Dayana
Published: January 2020

El artículo muestra el enfoque de un estudio de la actitud de los trabajadores ante los riesgos laborales, donde se evidenció condiciones con características especiales y propias de este tipo de empresa. El propósito fue analizar la actitud de los trabajadores hacia la prevención de los accidentes de trabajo y las enfermedades ocupacionales presentes en una pequeña y mediana empresa manufacturera. La metodología usada en la investigación fue no experimental bajo el paradigma cuantitativo, el tipo de estudio fue de campo. Los resultados arrojados destacan que existe una variable particular y significativa. A pesar de la existencia de condiciones de trabajo alejadas de las normas y protocolos de seguridad laboral, es baja la cantidad de accidentes de trabajo que se han presentado a lo largo del tiempo en funcionamiento de la imprenta. Es una realidad demostrada, que la seguridad es un tema de particularidades que se organizan de manera integral, aún más cuando esta obliga a la colaboración grupal, por ser un trabajo que se organiza en colectivo.
PERANCANGAN SISTEM ELEKTRIKAL PADA ALAT PENGISIAN MINYAK REM OTOMATIS MOBIL
Authors: Bela Persada Anggun Angkasa , Ningsih Yuliana , Gunawan Heru
Published: January 2020

Sistem rem adalah komponen yang ada pada mobil termasuk keamanan dalam berkendara. Untuk keamanan pengendara maka harus dibutuhkan sistem pengereman yang optimal. Perawatan minyak rem dilakukan dengan cara pengecekan minyak rem. Jika minyak rem habis maka minyak rem diganti. Untuk mempermudah pengisian minyak rem maka dibuatlah Alat pengisian minyak rem secara otomatis agar memudahkan saat pengisian minyak rem. Tujuan penelitian ini yaitu untuk mengetahui cara kerja kelistrikan pada alat pengisian minyak rem dan mengetahui Tegangan Baterai, Tegangan Motor, Arus Motor dan Volume minyak rem. Alat ini mempunyai sistem kelistrikan dan rangkaian sistem kelistrikan alat pengisian minyak rem otomatis berawal dari baterai menuju ke Fuse lalu ke Switch terus ke Potensiometer sprayer terus ke motor Washer. Adapun pengukuran pada alat pengisian minyak rem yaitu mengukur Tegangan, Arus, dan Volume. Dari hasil pengukuran Tegangan, Arus danVolume keluarnya minyak rem yang di lakukan sebanyak tiga kali pengukuran di dapat nilai rata rata yaitu pengukuran tegangan batrai nilai rata ratanya 12,41 V. Tegangan Motor nilai rata-ratanya yaitu 10,7 V. Arus Motor nilai rata-ratanya yaitu 0,57 danVolume keluarnya minyak rem niai rata-ratanya yaitu 40,25 ml/s. Pengisian minyak rem yang lebih optimal yaitu dilakukan pada putaran potensiometer keempat karena diputaran keempat volume keluarnya minyak rem lebih cepat.
Antioxidant and Cytotoxic Properties of Essential Oils from Native Brazilian Lauraceae Species
Authors: Silva Fabiana Lima , Santo Amanda Espírito , Branco Paola Cristina , Costa-Lotufo Letícia Veras , Marx Young Maria Claúdia , Murakami Cynthia , Cordeiro Inês , Nicolau Sueli A. , Ishibaru Leticia Megumi , H. Moreno Paulo Roberto
Published: January 2020

Analysis of the leaf and stem essential oils from three Brazilian Lauraceae species showed that the major constituent of O. odorifera was safrole (57.1 and 88.5% for leaves and stems, respectively) while for O. indecora leaves the major ones were the α-pinene (12.8%) and β-pinene (12.4%) andβ-bisabolol (12.2%) in the stems. For the third species, Persea venosa, the main components of leaf and stem oils were spathulenol (27.8 and 14.7%, respectively) and humulene epoxide II (11.3 and 5.1%, respectively). The bioactivity results indicated that the leaf essential oil from O. indecora was the most active for both radical scavenging activity (IC50=0.142mg/mL) and cytotoxicity against human tumor cells, with growth inhibitions for the colon tumoral line HCT-116 (100%)and breast cancer cell line MCF-7 (99.2%), at 5 μg/mL concentration. This activity might be related to the presence ofα-pinene and β-pinene in the leaf essential oil of O. indecora. However, further studies with the isolated compounds are necessary to fully understand these bioactivites.
Does Uncovered Interest Rate Parity Hold After All?
Authors: Omer Muhammad , de Haan Jakob , Scholtens Bert
Published: January 2020

This paper tests Uncovered Interest Rate Parity (UIP) using LIBOR rates for six major international currencies for the period January 2001 to December 2008. We find that UIP generally holds over a short-term (above 5-months) horizon for individual as well as groups of currencies. Our results suggest that it is important to consider the cross-correlation between currencies. We also find that “state dependence” plays an important role for currencies with a negative interest rate differential vis-à-vis the US dollar. This state dependence could also be instrumental in explaining exchange rate overshooting.
Lengenbachite from the Kochkovskoe Gold Deposit
(Zabaykalsky Krai)
Authors: Shvedov G.I. , Perflova O.Yu. , Mavrinskaya S.A. , Sil´yanov S.A. , Lobastov B.M.
Published: January 2020

The article presents the analytical data on lengenbachite, a rare As–Pb sulfosalt, which was found in sulfde ores of the Kochkovskoe gold deposit in Zabaykalsky Krai. Until recent, lengenbahitе was found only in the Lengenbach quarry (Switzerland), Negus, Kohn (Canada) and Sherlovaya Gora (Zabaikalsky Krai) deposits. The mineral is identifed in two sulfde aggregates located in the low-Fe sphalerite of gold-quartz-carbonate-polymetallic stage. Aggregate 1 is composed of jordanite with lengenbachite inclusions (Ag4.89Cu1.25Pb18.68As12.46S39.00, on average) and galena, which is overgrown by arsenopyrite and Ag-bearing tennantite. Aggregate 2 consists of an jordanitе grain with lengen-bachite inclusions (Ag5.23Cu0.79Pb18.57As11.93S39.00 , on average).
Figures 5. Tables 3. References 17.
Sulfur Sources of Sulfides
of The Ak-Sug Cu-Au Porphyry Deposit, Eastern Tuva
Authors: Kuzhuget R.V. , Mongush A.O. , Ankusheva N.N.
Published: January 2020

The paper presents the S isotopic composition of sulfdes from the Ak-Sug Au-Cu-porphyry deposit hosted by Early Proterozoic magmatic rocks. The S isotopic composition of sulfdes varies from +1.0 to +3.2 ‰: +2.5 to +3.2 ‰ for molybdenite-I, +1.0 to +3.1 ‰ for pyrite-III, –2.3 to – 0.9 ‰ for chalcopyrite-III–V,–2.9 to –2.4 ‰, for chalcopyrite-VI and –1.0 ‰ for pyrite-V. The close-to-zero S isotopic ratios of sulfdes from the Ak-Sug deposit indicate magmatic (from –5 to +5 ‰) or mantle (from –3 to +3 ‰) S source typical of most Cu-porphyry deposits of the Pacifc Fire Ring.
Figures 5. Table 1. References 23.
Eco Friendly and Edible Waste Cutlery for Sustainable Environment
Authors:   Department of Civil Engineering, Dr. Mahalingam college of engineering and Technology, Pollachi – 642003, Tamil Nadu, India., Natarajan N. , Vasudevan M. ,   Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India., Velusamy V. Vivekk ,   Department of Civil Engineering, Dr. Mahalingam college of engineering and Technology, Pollachi – 642003, Tamil Nadu, India., Selvaraj M. ,   Department of Civil Engineering, Dr. Mahalingam college of engineering and Technology, Pollachi – 642003, Tamil Nadu, India.
Published: January 2020

Rapid industrialization and urbanization has caused the production of enormous amount of solid wastes. Many nations today are facing environmental pollution due to improper solid waste disposal. Especially, plastic waste disposal has increased rapidly in the last few decades. Researchers are working on safely disposing the solid wastes and recovering wealth out these waste materials. With a view of reducing plastic waste disposal and protecting the health of people, many entrepreneurs have developed an innovative tableware which is edible as well as bio-degradable. This aim of this paper is to review the bits and pieces of work being done on edible tableware in various parts of the world. In addition, the edible tableware developed by individual artists has also been reviewed. The future scope of research in this domain has also been looked at towards the end of this review. We believe that edible tableware could be a potential source for replacement of plastic utensils, thereby providing scope for environmental protection, leading to sustainable development.
Cryogenic Examination on Fiber Metal Laminates – A Short Critic
Authors:   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Virudhunagar , India., Palaniappan Jothiraj , S Vignesh ,   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Virudhunagar , India., Jappes J T Winowlin ,   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Virudhunagar , India.
Published: January 2020

Fiber Metal laminates (FML) have made its place in the prominence of the materials development whereby the study of its mechanical, physical, chemical characterization of the property of the material behavior have been studies and reported by various intellects. This paper delivers a scope of cryogenic treatment and the effect of the FiberMetal laminates towards its property change and dialect behavior towards the subject of the material to the adverse cooling temperature. Every material holds a particular energy by its stances to the heat of addition which results due cause of the material heat absorption and quantum movement of the particles resulting in the energy due cause of molecular randomness.
Effect of Feed Rate on Surface Roughness in Abrasive Waterjet Machining of Jute Fibre Reinforced Polyester Composites
Authors:   Associate Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India, Kalirasu S. , Rajini N. ,   Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India, Rajesh S. ,   Associate Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India, Michla J. R. Jessy ,   Research Scholar, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India, Kumar S. Sathish ,   Assistant Professor, Department of Automobile Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi-642003, Tamilnadu, India
Published: January 2020

The common fiber strengthened composite are as a rule progressively utilized in different applications like space, flying machine, marine, building and car segment on account of their prevalent physical and mechanical properties despite the fact that they are somewhat expensive. AWJM speaks to a worldwide adaptable instrument supporting the machining of every normal material that are with no harm by straight contact with water. In this present work plans to explore jute fiber strengthened unsaturated polyester resin composite material investigating surface Roughness by changing three parameters, for example, Pressure, Standoff distance and Feed rate an ideal state of the material can be found and furthermore investigation of the cut surface geography after grating water stream machining. Rough utilized for cutting is garnet 80 mesh abrasive particles. It catalyzes the cutting and gives phenomenal surface completion.
Experimental Examination on the Cooling of a Helmet using Microencapsulated Phase Change Material
Authors:   Assistant Professor, Mechanical Engineering,Kalasalingam Academy of Research and Education, Virudhunagar, India., Vijayrakesh K. , Muthuvel S. ,   Associate Professor, Mechanical Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, India.
Published: January 2020

A helmet is the important personal protective equipment for the motorcyclist. This work analyses the use of the microencapsulated phase change material (MPCM) to cool the helmet and also investigate the effect of the inside heat generation rate, simulated radiation and wind speed on the cooling systems. The results indicate that withMPCM packed helmet has the ability to sustain constant temperature for more time when compared to the normal helmet. The findings also show that the head heat generation rate is the main factor that will affect the cooling time of the system. The wind speed and simulated radiation did not affect much on the cooling time. The results depicted that the extension of the helmet cooling time is based on the amount of MPCM embedded inside the helmet. Even though this investigation concentrates on cooling of helmet, the findings would also be helpful for the improvement of MPCM in many other applications.
Experimental Examination of Scalable Under Water Launching Missile System
Authors:   Aeronautical Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu-626126, India., Sebastin *J. Sarathkumar , Jeyakumar S. ,   Aeronautical Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu-626126, India.
Published: January 2020

Experimental Investigations were carried out to study the performance of underwater launching missile system by adapting the electromagnetic launcher concept. There are two energy sources utilized to propel the missile in this proposed research; solid propellant motor and electromagnetic launcher. Electromagnetic launcher propels the missile from underwater to the water surface. Solid propellant motor propels the missile from water surface to the fixed target in the atmosphere. Solid propellants were prepared and the specific impulse of the propellants was also observed by impulse measuring system. 65/35 ratio of fuel-oxidizer (KNO3-Succrose) has the specific impulse of 89.3seconds. Rope test and vertical launch test were conducted for finding out the missile altitude and performance as well. The Electromagnetic launcher used in this research can replace torpedo tubes which are conventionally fitted with compressor supply. Since capacitor banks are being used as power source for the launcher, reusability and simplicity of the launching system are improved remarkably. The electromagnetic launcher generates Lorentz force to accelerate the missile through the water. 220VDC, 5000μFD capacitors connected in parallel produce 363N-m energy. 10grams of missile model made up of aluminium material was tested and found velocity and projectile of the missile.
To Improve Internal RFT by Eliminating Wrapper Fouling with Bumper Issue in MF 9500 Models
Authors:   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., S Rajesh , S Aravindhan ,   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., V Srinivasan ,   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

Right First Time (RFT) is one of the internal business measure to ensure the quality of the product. This project deals with the elimination of wrapper fouling with bumper issue in MF 9500 Models. The wrapper is A class part which is assemble in front of tractors which when getting damage will lead to customer dissatisfaction. The wrapper damage at field results in customer / warranty claims thus increasing the external cost to the company. The wrapper damage issue is due to fouling issue in tractors and that issue is taken up for this study.. Initially PFMEA study conducted for wrapper assembly process. Further based on PFMEA results, a systematic analysis is done through cause and effect diagram to identify the other causes for wrapper damage issue. Since the cause and effect analysis not able to reveal the real root causes. Two models is proposed with modification and performance of the model is studied and compared. It is observed that proposed models are capable of reducing the wrapper damage considerably. It is also noted that modification in the proposed model reduces the operator inspection time and fatigue.
Development Modification for Handling, Storage and Transportation of chemicals in Textile plants located in southern India
Authors:   Department of Mechanical Engineering Kalasalingam Academy of Research and Education, Krishnankoil, India., T Raj Pradeesh , P Venkumar ,   Department of Mechanical Engineering Kalasalingam Academy of Research and Education, Krishnankoil, India., M Saravanamani ,   Department of Mechanical Engineering Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

Wide ranges of chemicals are used at Water mill for its processes, which has its own intrinsic risks. It is necessary to implement safety practices and recommendations in chemical industry handling of organic products and hazards encountered due to storage of chemicals in industry. Due to these effects and consequences it may lead to the occupational diseases encountered, the various hazards are routes of entry through the human bodies Breath into lungs, Concentration through skin membrane/cuts in the skin, Assimilation via aperture into the digestive system and Cause potential harm to the environment in case of spillage/exposure. The works aims to frames the procedures and handling methods of chemicals inside the workplace. Water mill consists of chemicals having Corrosive, Irritant, Explosive, Flammable and Toxic in nature. Hence, employees have chance for exposure to chemical hazardous. To reduce the chemical hazards we need to take overview of the chemical handling and improve the storage and handling of chemicals.
Influence of AWJM Parameter on GFRP Reinforced Nylon-6 Composite
Authors:   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., S Rajesh , J Manivannan ,   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., R Chokkalingam ,   Department of Physics, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

This research article is aiming to comprehend the cause of Abrasive Water Jet Machining (AWJM) parameter on kerf angle of the polymer based composites. Direct extrusion method is adopted to fabricate the Nylon 6 – GFRP composites. L27 OA design is followed to carry out to study the behaviour of AWJM parameter Kerf Angle (Ka). Three parameters with three levels are formulated; the selected parameters are pressure of the jet, standoff distance and feed rate and output is Ka. Taguchi optimization tool is used to locate the optimal combination of the AWJM parameter. The maximum pressure, low feed rate and standoff distance are the beneficial for reducing the kerf angle. ANOVA is also employed to determine the contribution of each process parameter on kerf angle and it is found that pressure combined with standoff distance plays important role in reducing the Ka followed by standoff distance and feed rate.
Fabrication Techniques of Metal Matrix Composites for Engineering Applications
Authors:   Faculty of Mechanical Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur, India., Kumar S. Suresh , Uthayakumar M. ,   Faculty of Mechanical Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur, India., Kumaran S. Thirumalai ,   Faculty of Mechanical Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur, India., Varol Temel ,   Department of Metallurgical and Materials Engineering, Karadeniz Technical University, Trabzon, Turkey., Erdemir Fatih ,   Department of Metallurgical and Materials Engineering, Karadeniz Technical University, Trabzon, Turkey.
Published: January 2020

Metal Matrix Composites (MMCs) are produced by the combinations of two more materials which exhibit better properties than obtained from single. Due to these enhanced properties, it is well suitable in many engineering applications namely aerospace, automobile and structural areas. However processing of MMCs and their properties are depends on the types of fabrication methods employed. This paper aims to discuss about the research work done on synthesis of MMCs through various processing routes. The mechanism of various techniques, the process involved and the parameter selection for each technique were reported. The comparison of fabrication techniques based on different particulars also discussed.
Segmentation of Brain Subjects in MR Images using Hybrid Segmentation Technique
Authors:   School of Electronics and Electrical Technology Kalasalingam Academy of Research and Education, Krishnankoil, India., Kumar P. Rajesh , Prasath T. Arun ,   School of Bio and Chemical Engineering Kalasalingam Academy of Research and Education Krishnankoil, India., Rajasekaran M. Pallikonda ,   School of Electronics and electrical TechnologyKalasalingam Academy of Research and Education Krishnankoil, India., Vishnuvarathanan G. ,   School of Bio and Chemical Engineering Kalasalingam Academy of Research and EducationKrishnankoil, India.
Published: January 2020

Image segmentation takes place a vital role in the area of biomedical applications. Magnetic resonance brain images with and without Alzheimer’s disease have been preferred for the detection and staging the AD. Clustering is one of the extensively implemented image segmentation principle which differentiates group in such a way that samples of the relevant group are related to each other than samples associated to various groups. There has been significant concern recently in the utilization of fuzzy clustering methods, which keep additional information from the input image than the clustering principle. Modified Fuzzy C Means (MFCM) algorithm is extensively preferable because of its flexibility which leads the pixels to exist to various classes with changing the degrees of membership. Cluster initialization process has been done with MFCM and the performance of the segmentation algorithm has enhanced with Binary Gravitational search algorithm. Various brain subjects such as White Matter (WM), Grey matter (GM), hippocampus region, Cerebrospinal Fluid (CSF) are segmented for the detection of AD. The BGSA with MFCM algorithm has achieved better outcomes and it is compared with various existing techniques. The accuracy of the proposed technique is about 93.3%.
Whale Optimization Algorithm Based CME-CV Thresholding for Soil Porous Medium Extraction
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education., Arunpandian Mr. M. , Arunprasath Dr. T. ,   Associate Professor, Department Biomedical Engineering, Kalasalingam Academy of Research and Education., Rajasekaran Dr. M. Pallikonda ,   Professor in 2012 in Kalasalingam Academy of Research and Education., Vishnuvarthanan Dr. G. ,   Associate Professor with the Department of Biomedical Engineering of School of Bio and Chemical Sciences in the Kalasalingam Academy of Research and Education, Tamilnadu, India., Senthilvel Vigneshwaran ,   Department of Biomedical Engineering of School of Bio and Chemical Sciences in the Kalasalingam Academy of Research and Education, Tamilnadu, India.
Published: January 2020

Simulated Soil CT image is one of the rich boundary limitation of all the informations of soil pore, pebble and solid medium. Ground truth of soil skeleton is more useful to examine porosity and void ratio. With the help of the above parameters are used to recognize the other physical natures of soil. Soil management system is a well-known identified tool to enhance the field of work to do. Image processing is the major methods to examine and delivers the outcomes. Primary process of image processing is thresholding the given input samples and limits the boundary of the various objects. Thresholding is under the trustworthy of most powerful two traditional algorithms such as Otsu inter class variance and Kapur’s maximum entropy. Mixture of both the traditional methods are given all the informations of soil samples. In proposed towards novelty, combine some Bio- Inspired optimization with the traditional mixtures. Whale Optimization Algorithm (WOA) enhance the efficiency and accuracy of the segmentation throughput. It compares between certain conventional Bio-inspired Optimization.