bluuebunny/crossref_metadata_2025 huggingface dataset:
Framework design of decision support system: Improving decision making in fishery supply chain for coastal communities
Authors: Teniwut Wellem Anselmus , Hasyim Cawalinya Livsanthi
Published: March 2021

The focus of researchers in the field of decision making which related to designing a decision support system to assist in the decision-making process, so far is very limited to the fisheries sector, especially at the small and micro business scale. On the other hand, the SME-scale fisheries sector is a major driver of regional and country performance because it has a very significant multiplier effect on the economic development of the region. Specifically, for coastal areas, the main problem faced is the consistency of the results obtained, one of the main causes is a distorted supply chain. In this study, we are trying to design a conceptual framework for decision support systems in order to assist the decision-making process of fisheries business operators in coastal areas in the Kei Islands, Indonesia. With the main objective of expediting the supply chain of fisheries in this region. The design of the DSS that was built was adjusted to the needs of every fishery businessman in this region. So, in addition to web-based DSS framework design, we also conducted surveys on fisheries supply chain processes from capture fishermen and aquaculture farmers to adjust the conditions of needs and empirical problems to design DSS concepts that can help overcome supply chain problems in the fisheries sector in the region.
Database design with product structure, Bill of Material and group technology for supplier decision support systems (Case study: hand tractor manufacturing)
Authors: Utomo Denny Trias , Gumilang Mukhamad Angga , Santoso Purnomo Budi
Published: March 2021

Supplier selection is a common problem for manufacturing industries because there are so many supplier options. The decision support system is one solution that can help industries in which one is the best supplier with specific criteria. In the case of manufacturing industries, to give decisions supports system input data, we need to identify the bill of materials. Furthermore, group technology also can be used to optimize the bill of materials. In this paper, we present the database design process from the bill of materials combined with group technology in tractor manufacturing industries. Product structure diagram, bill of materials table, database design diagram are created as results. From this result, we can develop a decision support system with some computing algorithmsfor the next study.
The prototype of characterization silica nano particle of rice husk using KOH based on artificial intelligence
Authors: Astuti Ely Setyo , Wardana ING , Sonief Achmad As’ad , Sarosa
Published: March 2021

One of the abundant sources of biomass is rice husk. Based on data from the Ministry of Agriculture of the Republic of Indonesia, dry grain production in Indonesia reached 83.037150 tons. About 20% of the dry grain is husk. As a result, 16.6 million tons of rice husks were produced in 2018 and their utilization has not been carried out optimally. This research will characterize rice husk silica particles using potassium hydroxide (KOH). The procedure of this research is pyrolysis with a high temperature of 800o with a burning time of 4 hours and 6 hours. The next process is refining rice husk charcoal using High Energy Milling (HEM). The SEM and EDX test results show that the pyrolysis 800°C, 4 hours results in a higher% silica, namely 18.64% with 40.52% carbon. While the results of 800°C, 6 hours pyrolysis produced 35% silica with 28.04% carbon. The data obtained from this study became data in Artificial Intelligence (AI) software to determine the higher silica content of rice husks from several variations of pyrolysis. The results of this measurement, it becomes data for AI software to determine the higher % silica. From the experimental results of the two variations, 800° 6 hours pyrolysis resulted in higher silica.
Redesign of facility layout to reduce the production line distance in MSE Silver 999 Malang
Authors: Rofieq Mochammad , Erliana Ken , Wiati Ni Made , Hariyanto Samsudin
Published: March 2021

To be able to compete, every micro and small enterprises (MSE) must continue to innovate in both product and production process innovation. Silver 999 is MSE which produces jewellery from gold, silver, brass and other raw materials. MSE Silver 999 products have penetrated international markets. The initial layout condition on the Silver 999 production floor was very inefficient because the Blanding work station was located outside the production area which caused the length of material flow to produce rings to be 51.35 meters. Due to improvements in some work equipment on the MSE production floor, it is necessary to redesign the layout to minimize material flow. By using a combination of the Systematic Layout Planning Method and the BLOCPLAN 90 software, a new layout proposal was obtained. By implementing the new layout, the material flow distance for ring production was reduced from 51,350 meters to 23,005 meters, or by reducing the distance by 55.2%.
Improvement of cooling time performance in TAD® 20t mixing vessel using root cause analysis and PDCA cycle in TAD® 20t mixing vessel product maturity
Authors: Santoso Sugeng , Aulia Muhammad Iqbal , Harahap Rahmat Saleh , Sitorus Rikki Sani , Waskita Dedy Sandi
Published: March 2021

The process of continuous improvement in product design portfolios uses the PDCA cycle, while the iteration process is carried out to obtain optimal and validated results and to increase the level of maturity of the product. Eliminating defects in TAD® installed at PT. YYY is able to improve the “cooling time” performance. Improved cooling time performance also resolves problems that occur in the production of Hair Care at PT. YYY and improve global product efficiency. On the other hand this also completes the “Problem Resolution Customer System” ticket on behalf of PT. YYY The solution produced has been through several discussions ranging from brainstorming all parameters that cause problems, the process of gathering RCA (Root Cause Analysis) to look for the potential impact of all parameters found during the brainstorming process through Fish Bond Diagram analysis techniques to obtain potential solutions. In terms of product portfolio management also minimizes the impact of this happening again in the future which can have negative effects related to the company’s name, additional costs for product repairs that increase problems and minimize losses from customers
The effect of different types of quenching methods on the burr zone characteristics on Ti-6Al-4V material
Authors: Lubis Didin Zakariya , Andoko  , Ridho Muhammad Yusuf
Published: March 2021

Heat treatment is a process that aimed to increase the ductility, reduce internal strain, smoothen the crystallite, increase the tensile strength, improve the Carbon (C) atom components, and increase the hardness. This research aimed to find the heat treated results using carburizing and quenching in blanking tool with low-carbon steel in the form of hardness level growth using carbon charcoal media mixed with BaCo3 energizer in pack carburizing process at 900°C temperature for 120 minutes holding time. This is continued with quenching process using oil, saltwater, and water. The blanking tool was tested in blanking experiment with 2.5% clearance, 3000 mm min−1 cutting speed using Ti-6Al-4V sheet metal with 0.6 mm thickness. The result parameter from the experiment was the burr zone level measurement of the product. Heat treatment process increased Carbon (C) atom component in the blanking tool. The raw material had a 0.17% component, and the quench media of oil, saltwater, and water had 0.19%, 0.22%, and 0.3% carbon components respectively. The hardness value also increases using oil, salt water, and water as the quenching media, resulted in 283.7, 423.8, and 462.4 HV respectively. The burr zone level was also obtained using the quench media of oil, salt water, and water with the results of 0.218, 0.206, and 0.119 mm.
Artificial aging heat treatment post-effect on profile and mechanical properties of the AA 6061 friction welding joint
Authors: Sugiarto  , Risonarta Victor Yuardi , Samsul Ma’arif M. , Femelio As’ad A
Published: March 2021

Friction welding is a solution for metal joint problems that are difficult to joint with fusion welding. The quality results of friction welding are highly dependent on process parameters such as friction pressure, friction time, forging pressure, forging time, and rotating speed. There is often excessive softening, hardening of the metal grains, and formation of an intermetallic phase at the weld interface due to too high friction temperatures and too high forging pressures on the alloy. Several studies on AA 6061 concludes artificial aging heat treatment can provide positive changes on the tensile strength and microstructure of AA 6061. The purpose of this study is to find out the effect of post artificial aging treatment toward profile and mechanical properties of AA 6061 friction welding joint. The varied parameters are forging pressure in friction welding of 325 bar, 350 bar, 375 bar and artificial aging heating temperature post-welding of 100 °C, 150 °C and 200 °C. The fixed parameters observed are the connection profile, microstructure, hardness distribution and tensile strength of the joint. Controlled variables include: 1600 rpm spindle rotation, 65 bar or 65 kg cm−2 friction pressure, friction time tf = 6 seconds, time forging pressure tu = 60 seconds, workpiece contact diameter 15 mm and 15 degrees workpiece chamfer angle. The results are specimens with forging pressures of 325 bar, 350 bar and 375 bar without artificial aging treatment still show clearly interface of Zpl and Zpd zone; whereas in specimens treated with artificial aging, the Zpd and Zpl interface are getting faded which indicating that there is structures homogenization in the Zpd and Zpl zone. The hardness of the joint area increased significantly after artificial aging heat treatment because formed Mg2Si precipitates were dispersed in the Zpl, Zpd and Zud zones. The post-weld artificial aging heat treatment also resulted in a more even distribution of hardness in the joint area. The highest distribution of joint area hardness occurred in specimens with a forging pressure of 350 bar and artificial aging treatment at 200 °C. Artificial aging treatment with a temperature of 200 °C will form Mg2Si (black) precipitation and Fe3SiAl12 (gray) particles which are evenly dispersed in the Al matrix in the Zpd and Zpl zones so that their hardness is high. By applying artificial aging heat treatment, the tensile strength of the specimens increases until the artificial aging temperature is 150 °C; when the artificial aging temperature is raised to 200 °C, the tensile strength tends to drop back.
The effect of storage duration on total xanthones and antioxidant activity of microencapsulation of mangosteen peel extract
Authors: Kusmayadi Andri
Published: March 2021

Xanthones compounds in mangosteen peel extract have characteristics that are unstable, sensitive, easy to react and easily subject to oxidation. Microencapsulation has the ability to maintain the stability of herbal extracts during storage. The aim of this study was to determine the duration of storage of microencapsulated products of mangosteen peel extract against total xanthones and antioxidant activity. Mangosteen peel extracted using ethanol for 24 hours. Maltodextrin is synthesized from sugar palm starch using an enzymatic method. Mangosteen peel extract and maltodextrin are formulated at a ratio of 70:30, 60:40, 50:50, 40:60 and 30:70. Total xanthones levels and antioxidant activity of mangosteen peel extract microcapsules were measured using a UV-Visible spectrophotometer. The results showed that the microencapsulation process and the ratio of core material and encapsulant material significantly affected total xanthones levels and antioxidant activity of mangosteen peel extract microcapsules during storage. The M4 treatment produced the highest total xanthones and M2 treatment produced the most powerful antioxidant activity compared to other treatments.
Influence of bagasse ash, calcium carbide residue and polyester fiber addition on shear strength of organic clay
Authors: Hatmoko John Tri , Handoko Luky
Published: March 2021

Organic clay has bad engineering properties. It is compressible, sensitive to the changes of water content; and it has poor bearing capacity and shear strength. Therefore, the research regarding improvement of this soil is intensively performed and continually in progress. In this research, bagasse ash (BA), calcium carbide residue (CCR) and polyester fiber were used to improve the shear strength of organic clay. A set of laboratory experiment were performed to study the effects of BA, CCR and polyester fiber inclusions on the shear strength of organic clay. To obtain optimum moisture content (OMC), standard compaction test was worked out for original soil. The oven dried BA (varied as 10 %wt, 20 %wt and 30 %wt) were mixed with the soil, and water was added to its OMC. Then, 1 to 2 %wt freely oriented polyester fiber was mixed with BA-soil samples. The BA-soil specimen and BA-soil specimen containing polyester fiber was investigated through direct shear tests. Finally, 4 %wt CCR was added to both BA-soil mixtures, and BA-soil mixture with fiber inclusion. The direct shear tests were then carried out on those samples with 14, 28 and 36 days curing period. This research shows that calcium carbide residue increases shear strength of BA-soil samples and BA-soil specimens with fiber inclusion. It shows also that fiber inclusion increases ductility of treated soil. However, the use of BA only does not significantly increase the shear strength of stabilized soil.
The formulation of mangosteen peel extract microencapsulation on water content and fungus distribution during storage
Authors: Kusmayadi Andri
Published: March 2021

The purpose of this study was to examine the effect of formulation on microencapsulation of mangosteen peel extract (MPE) on water content and fungus distribution. The treatments tested consisted of: M1 (70% MPE: 30% maltodextrin/MDX), M2 (60% MPE: 40% MDX), M3 (50% MPE: 50% MDX), M4 (40% MPE: 60% MDX), M5 (30% MPE: 70% MDX), and M6 (100% MPE). Each treatment was observed for 0, 2, 4, 6, and 8 weeks. The results showed that the microencapsulation treatment of mangosteen peel extract with maltodextrin (M1 – M5) had a significant effect (P<0.05) on water content and fungus distribution. The water content of the sample starts to increase in the second week and increases with increasing shelf life. The fungal distribution parameters showed the formation of colonies and product damage in the fourth week and continued to increase until the eighth week. This study shows that the microencapsulation treatment (M1-M5) is able to protect the material from environmental influences and can extend the shelf life of the material rather than the control treatment (M6). The M4 treatment containing 40% mangosteen peel extract and 60% maltodextrin showed the best results on the water content and fungus distribution.
Experimental study the effect of surface roughness of a material on its hydrophobicity
Authors: Subagyo Rachmat , Tamjidillah Mastiadi , Irawansyah Herry , Ghofur Abdul , Muchsin
Published: March 2021

To investigate the effect of trapped gas and surface roughness, it is necessary to study more deeply the hydrophobic nature of a material which has a different surface roughness value. This research was conducted experimentally, by first preparing materials that have different grain sizes. Then measuring contact angles, mapping surface roughness, and observing droplets when in contact with the material. This study shows that the increase in droplet volume affects the contact angle formed, the greater the droplet volume the droplet surface tension capability is getting weaker. The smaller the grain size, the higher the contact angle formed, this is due to the particle size that supports the droplet surface, when the particle size is small, the surface tension formed is greater so that the droplet has a high contact angle. Micro/nano size bubbles that spread evenly on the surface of hydrophobic material strongly support the occurrence of hydrophobic properties in a material.
Ballistic limit simulation on commercial medium carbon steel plate with surface hardening using an induction heating
Authors: Purwanto Helmy , Dzulfikar Muhammad , Tauviqirrahman Mohammad , Subagyo Rachmad , Kiryanto
Published: March 2021

Ballistic limit is a speed limit where projectile with a certain shape, angle of attack and size is not able to perforate a target with certain properties and thickness. This paper aims is to determine and analyze the ballistic limit of commercial medium carbon steel plate which has been hardened by induction heating by using finite element based simulation. A plate with a thickness of 8 mm was shot by a deformable blunt projectile with a diameter of 20 mm, a length of 80 mm and a mass of 0.197 kg with an angle of attack of 90° against the plate. Simulation results show that projectile with a speed of 225 m s−1 is still able to penetrate the plate in the form of plugging. The plate can withstand the projectile rate at a maximum speed of 215 m−1. At this speed, the plate is damaged but the projectile does not penetrate. The plate still has ductility properties, as during the simulation there were deflection and bulge in the back side.
Characterization of the γ,α-alumina and its adsorption capability to adsorb nickel (ii) and magnesium (ii) from nickel sulfate as a result of solvent differences
Authors: Fatimah Titin S. , Wahyudi Tatang , Khaerunisa Herni , Saleh Nuryadi
Published: March 2021

This study discusses the characteristics phase of the alumina mixture, namely the γ, α-alumina as well as its ability to adsorb the nickel (II) and magnesium (II) from nickel sulfate due to solvent differences. The γ, α-alumina was synthesized under acidic conditions (pH = 5) from poly aluminum chloride that was calcined at 800 °C by the sol-gel method. The particle size of γ, α-alumina is 15.65 μm; BET specific surface area of 104.12 m2 g−1; mesopores volume of 0.284 mL g−1; and a shape type of IV isotherm curve. Such the characteristic belongs to an adsorbent. The solution of nickel sulfate as Solution (b) has a bigger total adsorption capacity than that of the Solution (a), namely 16.46 mg L−1 and 2.49 mg L−1 respectively. The alkaline buffer formation as the ammonium hydroxide and ammonium chloride in Solution (a) may result in reducing the adsorption capability of the γ,α-alumina. The magnesium concentration of nickel sulfate in Solution (a) is smaller than that of the nickel one, namely 118.36 mg L−1 for the Mg and 486.64 mg L−1 for the Ni. However, the Mg is still more adsorbed around 29.96 mg L−1 compared to the Ni (19.80 mg L−1).
Analysis of corrosion rate at bone implant replacement materials with immersion time variations in simulated body fluid
Authors: Pradityana Atria , Husodo Nur , Ash-Shiddieqy Rizaldy Hakim , Rizal Muhammad Saiful
Published: March 2021

Biomaterials are materials used to replace parts of living systems. 316 L stainless steel has long been used as a substitute material for bone dislocation victims. This research aims to substitute 316 L stainless steel bone implant material with Cr-Ni coated ST 41 carbon steel which has been immersed with varying time-intensity with Simulated Body Fluid. Material testing uses the method of potentiodynamic polarization, electrochemical impedance spectroscopy, and Scanning Electron Microscope. The results of this study are in the form of a comparison of corrosion rate and surface characteristics between 316 L stainless steel and Cr-Ni coated ST 41 Carbon Steel. The immersion time of the material for 12 hours and 366 shows a low corrosion rate with a corrosion rate of 0.0051714 mm year−1 with and 0.001557 mm year−1 for ST41 carbon steel material with Cr-Ni coating, whereas in Stainless Steel 316 L has a corrosion rate value of 0.0029546 mm year−1 and 0.0013166 mm year−1. Surface characteristics show insignificant differences between ST41 steel with Cr-Ni coating and 316 L stainless steel. The results of the study show that Cr-Ni coated ST41 carbon steel material can substitute 316 L stainless steel as a biomaterial in bone implants because it has a low corrosion rate and different insignificant surface characteristics.
Analysis of corrosion rate and surface characteristics in substitution bone implant material with corrosive media simulated body fluid (SBF)
Authors: Pradityana Atria , Husodo Nur , Ash Shiddieqy Rizaldy Hakim , Pamasa Falas Sulthan
Published: March 2021

Bone is a basic part of the human skeletal system which serves as the main foundation of the human skeletal system. and millions of people suffer from bone damage caused by natural diseases or accidents. Bone implants are used to replace, assist or augment diseased or injured biological tissue. One of the medical implants in use today is bone implants. bone implants that are currently commonly used are bone implants with a type of metal material because they have high strength, stiffness, and stiffness. In addition, metal-type bone implants can withstand higher loads than other types of implants. SS 316 L material is often used as a bone implant because it has good mechanical properties and a low corrosion rate. But with a low corrosion rate and good biocompatibility properties, SS 316 L is limited in its use in clinical application. This study aims to find substitute material as bone implants. testing using specimens in the form of ST-41 steel plates coated with Titanium Nitride (TiN) instead of bone implants. Immersion of specimens was carried out with corrosive media in the form of Simulated Body Fluid (SBF) as corrosive media. Testing uses a Scanning Electron Microscope (SEM) to analyze the surface characteristics of the specimen. The results of this study were no damage or apatite coating that protected the surface of the specimen with immersion for 12 hours. While at 336 hours immersion, there is a corrosion point on each specimen. However, the ST-41 steel specimen contained apatite grains on its surface.
Comparison of failure analysis on reheater and waterwall tube power plant base on outer surface
Authors: Drastiawati Novi Sukma , Soekrisno R. , Kis Agustin H.C. , Arsana I Made
Published: March 2021

Visual observation on waterwall tube failure showed crack at the outer surface and fish mouth on reheater tube. An analysis of this research is to compare the causes of failure of waterwall and reheater tube boiler. Method of this used descriptive qualitative with macro and micro visual observation. Crack appeared from the outside waterwall tube occurred at a place attached to the oxide layer, it indicated that failure on this tube achieved in long period. The small crack as a place for new oxide layer and corrosive media. Larger crystal grains at the edge of the oxide layer and tip of crack because the corrosion reaction between oxides and metal, it produces local heat on the area. Failure on reheater tube was presence of scale attached on the outer caused differences in the distribution of temperature between inner and outer surface tube.The dominant factor of this failure occurred intergranular creep fracture. The results shows that main mechanism on waterwall tube failure is physical and mechanical factor on reheater tube.
Effect of bacterial cellulose reinforcement on morphology and tensile properties of starch-based biocomposite
Authors: Suryanto Heru , Pahlevi Ahmad Saifi , Yanuhar Uun
Published: March 2021

This study aims to determine the effect of the addition of bacterial cellulose (BC) from nata de coco to the mechanical properties of the cassava starch-based biocomposite. This study was conducted by a tensile test using a standard specimen of ASTM D-638 type V and fracture morphology using SEM (Scanning Electron Microscopy), using variations in the addition of BC as much as 0% (without additional cellulose), 2.5%, 5%, 7.5%, and 10%. The results showed that the addition of BC to biocomposite could increase their tensile strength and stiffness. Biocomposite with the best mechanical properties was achieved by adding 10% BC to produce tensile strength 19.19 MPa, elongation percentage 10.97%, and modulus of elasticity 173.19 MPa. However, with the addition of higher BC, lower quality bioplastics can also be produced.
Effect of limestone mass concentration on tensile strength and surface morphology of coconut fiber
Authors: Sutrisno  , Soenoko Rudy , Irawan Yudy Surya , Widodo Teguh Dwi
Published: March 2021

The material processing technology was developed to answer the increasing material needs. The material developed is a composite material based on natural fibers. Among many natural fibers and maximum utilization is coconut fiber. This study aims to determine the effect of limestone as a medium for coconut fiber immersion on the tensile strength of a single fiber and the surface morphology of the fiber. Coconut fiber that has been cleaned is soaked in a solution of lime water for 8 hours with a variation of lime content: 0%, 2.5%, 5%, 7.5%, and 10%. Coconut fiber that has been processed is tested by testing a single fiber and SEM. The results obtained from testing a single fiber with 5% limestone content for 8 hours total tensile strength of 236.27 MPa. The tensile strength without treatment, 5% limestone, 7.5% limestone, and 10% limestone are 172,15 MPa, 204.37 MPa, 199.73 MPa and 180.32 MPa. The surface morphology of the fibers with limestone treatment becomes rougher.
Experiment of adding molybdenum to AISI 310 to increase tensile strength
Authors: Permana Diki Ismail , Sumirat Uum , Darwanto Yoko
Published: March 2021

Supercritical coal power plants began in 1983 with 24.1 MPa moisture parameters and 538°C / 538°C temperature (superheated and reheated steam). Ultra supercritical technology began in 1993 with 24.1 MPa and 538°C / 593°C. Starting in 2000, an ultra-high temperature supercritical power plant was built at 25MPa and 600°C / 620°C in Tachibana and Isogo Powerplants. From this phenomenon, together coal at the power plant, there is often damage to the turbine blade because the material from the turbine blade is not able to withstand temperatures> 760°C. So the words between these can be analyzed by adding molybdenum on AISI 310 raw material in order to find a new material that is resistant to temperature > 760°C. Stainless steel is a steel that has an important role in the industry. One type of stainless steel is austenitic stainless steel. In general, stainless steels containing Ni, Cr and no other blends. The strength and tenacity of the austenitic stainless steel can be increased by alloying and thermo mechanical treatment (TMT). In the integration process, a structure can be carried out which can be improved by the mechanical properties of the material. To find out the austenitic stainless steel needs to be developed to increase resistance to the corrosive environment, and also its mechanical properties. This development can be done by combining AISI 310 with Molybdenum
The effect of pure temperature and pressure on alloy hardness of Al-6.7% Cu using squeeze casting method
Authors: Siswanto Rudi , Ma’ruf  , Mukti Adi Marhadi , Subagyo Rachmat
Published: March 2021

Squeeze casting is done by combining the casting and forging processes. The metal solidification process is carried out in a metal mold by pressing it with hydraulic pressure. This study aims to determine the effect of pouring temperature and pressure on the hardness value of the squeeze casting of Al-6.7% Cu alloy material. The process is that the material is melted using a crucible furnace until it melts then poured with a temperature variation of 710 ° C, 730 ° C and 750 ° C. Then it is poured into a metal mold that is heated to a temperature of 250 ° C and then pressed for 60 seconds with variations of 0 MPa, 2.5 MPa, 5 MPa and 7.5 MPa. The test results show that; (1) the higher the pouring temperature, the lower the hardness value, (2) the higher the pressure, the higher the hardness value. (3) The highest hardness value was at pouring temperature of 710 ° C with a pressure of 7.5 Mpa (59 HB) while the lowest hardness value was at pouring temperature of 750 ° C with a pressure of 0 Mpa (34 HB)
Failure mechanism of thermal barrier coating on the first stage turbine blade
Authors: Suwarno  , Muhtadi Handi , Maclauda Isaura F. , Hariyadi Arif
Published: March 2021

One of the main components in a gas turbine for the power plant is the turbine blade. The turbine blade lifetime depends on materials, operation, and maintenance. A prominence reason for accelerate turbine blade degradation is caused by the failure of the thermal barrier coating (TBC). In the present work, we studied the failure of TBC on the 1st stage turbine blade. A scanning electron microscope, optical light microscope, and X-Ray diffraction were used for samples examination. The analysis results showed that the TBC of first stage turbine blades is a plasma-water type sprayed and consists of 7 wt. % yttria-stabilized zirconia (YSZ). Mechanism of separation in the TBC layer is caused by thermal fatigue due to thermal differences expansion between the TBC and the thermally grown oxide (TGO), thereby causing tensile stress and compression on the TBC. The pressure causes micro-cracks on the top coat lead to the separation of the TBC top coat.
The influence of flux type and scrap size on recycling yield of Al drink cans
Authors: Risonarta Victor Yuardi , Anggono Juliana , Nugrowibowo Setyo , Kristoforus Alexander
Published: March 2021

Aluminium is widely used as a beverage can due to its excellence properties, i.e., good deformability; excellent corrosion resistance, high strength to weight ratio and non-toxic. The global consumption of canned drinks in 2017 was estimated at approximately 200 million pieces annually. These aluminium cans should then be recycled to minimize environmental challenges. Challenge, however, exists to optimize the recycling process. In this work, size of recycled cans, flux type, and recycling temperature were investigated to achieve higher recycling and Al yield. After various flux compositions were attempted to increase the recycling and Aluminium yield, the most suitable flux material was a mixture of chloride, fluoride, and SO4. Meanwhile, when the scrap dimension reduced to 1 cm2, the recycling and Aluminium yield showed no significant differences with the yield obtained using a scrap dimension of 4 cm2.
Diagnosis of Age Related Macular Degeneration by Curve Fitting RPE Layer
Authors: Pavithra D , Vanithamani R , Karolinekersin E
Published: March 2021

Optical Coherence Tomography (OCT) of the retina allow high resolution and non-invasive imaging for diagnosis of macular diseases such as Age Related Macular Degeneration (ARMD). The aim of this work is to suppress the speckle noise, segment the retinal pigment epithelium layer and identify the possibilities for diagnosis of ARMD by curve fitting method. Speckle pattern, which is multiplicative in nature, degrades the quality of OCT images. Bilateral and homomorphic-wavelet filters are adopted to minimize the speckle noise in OCT images. The performance of these filters is tested on a set of OCT images collected from an open source database. The experimental results prove that homomorphic-wavelet filter is better in reducing the speckle noise. Structural changes of retinal pigment epithelium layer, a key factor of ARMD, is identified by Graph-based method, which is utilized further in diagnosis of ARMD by curve fitting method. The sum of squares due to error (SSE) values of ARMD images are very higher compared to normal images, which can be used as a feature for diagnosis.
Machine Learning Techniques for Recommender Systems – A Comparative Case Analysis
Authors: Thomas Binu , John Amruth K
Published: March 2021

Recommender System (RS) is one of the most popular applications of Artificial Intelligence which attracted researchers all around the world. Many machine learning algorithms are used to develop RSs. Choosing the best machine learning algorithm to provide users with a product or service is the most challenging task in the area of RSs. Now we are witnessing a paradigm shift in the purchase habits of people from in-shop to online resulting in the availability of online information exponentially growing every day. The ever-increasing online information and the number of online users create new avenues in RS. In an online shopping scenario, these systems must be able to recommend relevant items to the users. The RSs have to deal with the huge amount of information by filtering the relevant information based on the analysis made on the inputs made by the users during their online sessions. These systems can recommend appropriate items to users based on their interest and previous preference which can lead to increased sales. The three major techniques used to build a RS are content-based, collaborative based and hybrid-based. This paper presents the various applications of RSs and makes a detailed comparative study of different machine learning approaches used. The methodologies used for identifying research articles for analysis, the merits and demerits of different techniques in RSs and domain-specific applications of these techniques are well explained here with scientific review analysis.
Performance Analysis of Circular Shape Microstrip Antenna for Wireless Communication System
Authors: Kannadhasan S. , Nagarajan R.
Published: March 2021

In this paper proposes a broad band circular strip antenna based on numerical techniques. For the operating frequencies, a circular patch antenna is installed on FR-4 substrate material 4.2. The proposed antenna uses the finite element method to design an operating frequency from 2GHz to 10GHz. Substrate height is 1.6mm. The circular patch has a circumference of 8.82mm. The antenna displays good output below -16dB is the return loss value and the antenna gain is obtained in the range from 2.4dBi to 10.02dBi. The proposed circular patch antenna is designed and analysed the various parameters like VSWR, Gain, Return Loss, Directivity and Radiation pattern.
Implementation of Multivariate Logistic Regression Model for Cerebral Palsy Identification using Prenatal, Perinatal Risk Factors
Authors: Muthureka K. , Srinivasulu Reddy U. , Janet B.
Published: March 2021

Cerebral Palsy (CP), a static, neuro and motor disorder caused by brain injury in the time period of prenatal, perinatal and postnatal, is the major developmental disability affecting children’s function. Children with CP in children cannot be curable but quality of life can be improve with the help of treatment such as surgery and therapy. Early identification is important to the CP children for starting the treatment. There are numerous Machine Learning (ML) algorithms used in health care for prediction and classification. One of the ML algorithms called Logistic Regression which is used for binary classification using univariate and multivariate. This study, is of interest to enable early identification of CP using prenatal and perinatal risk factors with help of Multivariate Logistic Regression.
D-App for providing geriatric aid and to collect and handle periodic health survey data
Authors: Joseph Chinnu , Joseph Chinchu , Atul Krishna P , Mathew Amal George , Rawther Fabeela Ali
Published: March 2021

The system aims to build a health survey platform designed to collect basic health information about residents of particular area. Block chain is used to store the collected information making sure only authenticated persons can have access to crucial information. This system also provides information about government health policies or schemes that the members of a family are eligible for and can have easy access to these facilities. This system can also be used as a platform to host health survey in case of an unexpected outbreak of a disease. Machine learning algorithms may be used predict health issues like the possible occurrence of epidemics etc. The system efficiently reduces the paperwork and inefficiency of traditional door to door health surveys by enabling each family to directly feed in their information.
Object Identification Model using Deep Reinforcement Machine Learning Concept for Image
Authors: Tiwari Saurabh , Veenadhari S , Gupta Sanjeev K
Published: March 2021

This paper presents a model which gives the detailed process of object identification. We need to identify class and location of object in image for completing process of objet identification. Proposed model works on the principal of reinforcement learning which takes action on the basis of rewards and experiences. Normally methods in literature uses sliding window which moves in same direction but proposed algorithm provides a variable mask which moves 360 degree for identifying object using action history vector proposed with RL also not only this work focuses on localization like other work but also used class information with Softmax classification able to classify multiple object in single image with efficient time which is novel. Proposed mask acts as agent and focuses on proposed candidate reason this saves time and works in efficient manner for identification. Agent depends on transformation action and by applying top down reasoning it gives location of object. Classification is done using Softmax classification as we are having features of image by CNN. Reinforcement learning concept used for training of agent and Pascal voc dataset used for testing. Analysis of only 10 to 25 regions is sufficient with proposed work to identify first instance of object. Experiment and performance evaluation shows the efficiency of proposed work.
Enhancing the efficiency of continuous integration environment in DevOps
Authors: Benjamin Jetty , Mathew Juby
Published: March 2021

Faster release of features to the production environment is the need of the hour of every IT organizations. This faster and continuous software delivery is made possible through DevOps. DevOps is a set of practices that bridges the gap between development team and operations team. The different aspects of DevOps came from agile methodology. Continuous integration is the paramount of DevOps life cycle. In a continuous integration development practice, the development code and the applications code are continuously integrated several times a day. Developers follow the practice of committing changes frequently into the version control system such as git. A change in the version control system triggers the continuous integration system such as Jenkins. This exploratory study presents the ways that support the developers during the build break in continuous integration environment and thereby improve the efficiency of continuous integration process. Our findings contribute that the selected list of plugins in the Jenkins support the developers during the build break, thus developers can come up with faster recovery of build failures which in turn increase the efficiency of continuous integration environment.
A comparative study on machine learning algorithms for employee attrition prediction
Authors: Usha P M , Balaji N V
Published: March 2021

The fourth industrial revolution introduces a wide range of technologies for an effective functioning of organizations with optimal usage of all resources including human resource. Machine learning is one of the driving technologies implemented in fourth Industrial Revolution. Machine learning can be utilised for developing models that can predict the retention or attrition of employees. The study is using machine learning algorithms like classification and clustering for preparing the prediction models. A comparison of these algorithms is done based on its performance. The performance is measured using parameters like accuracy, precision, recall, F Measure and time taken to build the model. The study is also finding the correlation between variables used in the work to the decision of staying back in the organization. The study is using the open-source tool Weka and also python for doing the same.
Study of Piezoelectric transducers used for Energy Harvesting Applications
Authors: Samal Nilimamayee , Jeba Shiney O , Patra Abhinandan
Published: March 2021

To manage the soaring power demand, various types of Energy Harvesting Systems (EHS) are being developed. The energy harvesting from unutilized natural renewable sources using piezoelectric transducers is one of them. Day-by-day different analytical models are being reported with different piezoelectric transducers to improve the energy efficiency and output power of the energy harvesting systems. The latest Energy Harvesting Systems (EHS) technology includes the material with outstanding piezoelectric properties, compact fabrication style and distinctive design. They are capable of generating electric power of microwatt to milliwatt range from the unutilized energy sources such as environmental, industrial, vehicular sources and human motion etc. In this study, the reported research works on piezoelectric energy harvesting system (2007-2020) have been reviewed and discussed. The review basically focuses on the constitutional/compositional development of the piezoelectric transducers used in energy harvesting processes.
Lucky and Proper Lucky Labeling of Quadrilateral Snake Graphs
Authors: Sateesh Kumar T. V. , Meenakshi S.
Published: March 2021

The labeling is said to be lucky labeling of the graph if the vertices of the graph are labeled by natural number with satisfying the condition that sum of labels over the adjacent of the vertices in the graph are not equal and if vertices are isolated vertex then the sum of the vertex is zero. The least natural number which labelled the graph is the lucky number. The Lucky Number of graphGis denoted byη(G). The labeling defined as proper labeling if the vertices of the graph are labeled by natural number with fulfilling the condition that label of adjacent vertices is not the same. The labeling is defined as proper lucky labeling if labeling is proper and also lucky. The proper lucky number of graphGis denoted byηp(G). Here we obtain a lucky number and proper lucky number for family of quadrilateral snake graph such as quadrilateral snake graph, double quadrilateral snake graph, alternate quadrilateral snake graph and double alternate quadrilateral snake graph.
Time-reversal symmetry breaking in a square lattice
Authors: Jimenez Kevin , Reslen Jose
Published: March 2021

The bulk conductivity of a two-dimensional system is studied assuming that time-reversal symmetry is broken by internal mechanisms. The study is carried out by direct diagonalization in order to explore the nonlinear-response provoked by the inclusion of an electric field in the system’s Hamiltonian. The system displays a quantized conductivity that depends on the intensity of the field and under specific conditions the conductivity limit at zero electric field displays a nonvanishing value.
Isotropic quantitative differential phase contrast microscopy using radially asymmetric color-encoded pupil
Authors: Lin Yu-Hsiang , Li An-Cin , Vyas Sunil , Huang Yi-You , Yeh J Andrew , Luo Yuan
Published: March 2021

Differential phase contrast (DPC) microscopy provides isotropic phase images by applying asymmetric illumination patterns on the sample. The movement of specimens during series image acquisition may lead to motion blur artifacts, which are difficult to prevent. Here, we propose a new method based on pupil engineering and color multiplexing to obtain an isotropic phase transfer function and to reduce the required frames simultaneously. Radially asymmetric color pupils are implemented in a DPC microscope using a programmable thin-film transistor as a digital pupil, which gives flexibility and dynamic control for projecting illumination patterns on samples. With our approach, an isotropic quantitative phase map can be obtained using only pairwise color images for phase reconstruction. A radially asymmetric color pupil is synthesized by encoding the red, green, and blue colors. To recover accurate phase values, a color-leakage correction algorithm is applied to calibrate each color channel. Compared to a half-circle illumination pupil, our method can significantly enhance the image acquisition speed. The phase recovery accuracy is more than 97%. To show the imaging performance of our proposed method, quantitative phase imaging of living 3T3 mouse fibroblast cells is performed. Our quantitative phase measurement method may find important applications in biomedical research.
Optimized loss function in deep learning profilometry for improved prediction performance
Authors: Van Der Jeught Sam , Muyshondt Pieter G G , Lobato Ivan
Published: March 2021

Single-shot structured light profilometry (SLP) aims at reconstructing the 3D height map of an object from a single deformed fringe pattern and has long been the ultimate goal in fringe projection profilometry. Recently, deep learning was introduced into SLP setups to replace the task-specific algorithm of fringe demodulation with a dedicated neural network. Research on deep learning-based profilometry has made considerable progress in a short amount of time due to the rapid development of general neural network strategies and to the transferrable nature of deep learning techniques to a wide array of application fields. The selection of the employed loss function has received very little to no attention in the recently reported deep learning-based SLP setups. In this paper, we demonstrate the significant impact of loss function selection on height map prediction accuracy, we evaluate the performance of a range of commonly used loss functions and we propose a new mixed gradient loss function that yields a higher 3D surface reconstruction accuracy than any previously used loss functions.
The Oxford Dictionary of Architecture
Authors: Curl James Stevens , Wilson Susan
Published: March 2021

‘a valuable piece of scholarship, and the definitive reference work on architecture and landscape design’ – Hannah Malone, Architectural History

Over 5,000 entries

Beautifully illustrated and written in a clear and concise style, this dictionary covers every period of Western architectural history. The text is complemented by over 250 beautiful and meticulous line drawings, labelled cross-sections, and diagrams. This updated edition adds more than 40 completely new entries, including many new biographies of notable architects, and essential updates to several existing entries.
How Do Pathologists in Academic Institutions Across the United States and Canada Evaluate Sentinel Lymph Nodes in Breast Cancer? A Practice Survey
Authors: Asirvatham Jaya Ruth , Jorns Julie M
Published: March 2021

Objectives

There are little data on how changes in the clinical management of axillary lymph nodes in breast cancer have influenced pathologist evaluation of sentinel lymph nodes.

Methods

A 14-question survey was sent to Canadian and US breast pathologists at academic institutions (AIs).

Results

Pathologists from 23 AIs responded. Intraoperative evaluation (IOE) is performed for selected cases in 9 AIs, for almost all in 10, and not performed in 4. Thirteen use frozen sections (FSs) alone. During IOE, perinodal fat is completely trimmed in 8, not trimmed in 9, and variable in 2. For FS, in 12 the entire node is submitted at 2-mm intervals. Preferred plane of sectioning is parallel to the long axis in 8 and perpendicular in 12. In 11, a single H&E slide is obtained, whereas 12 opt for multiple levels. In 11, cytokeratin is obtained if necessary, and immunostains are routine in 10. Thirteen consider tumor cells in pericapsular lymphatics as lymphovascular invasion (LVI), and 10 consider it isolated tumor cells (ITCs).

Conclusions

There is dichotomy in practice with near-equal support for routine vs case-by-case multilevel/immunostain evaluation, perpendicular vs parallel sectioning, complete vs incomplete fat removal, and tumor in pericapsular lymphatics as LVI vs ITCs.