bluuebunny/crossref_metadata_2025 huggingface dataset:
Carte server implementation for improving data quality management application performance in profiling module
Authors: Salmawati K F , Kusumasari T F , Alam E N
Published: January 2021

Data is a critical component in the management of systems that support business in an organization. The application of proper data quality management can help organizations in making policies and maintaining data by reducing inconsistent data. The initial stage in the data quality management process begins with the profiling process. The use of job trigger executors in DQM applications affects the application performance level. This paper aims to make changes to the executor used by using a carte server to improve the performance of the DQM application that has been made. Carte server is a web server that allows running files remotely. The results of this study will compare application performance from the use of different executors namely job trigger (pan.bat) and carte server to find out which is superior. With that knowledge can be obtained about the importance of performance in the application.
Binary Particles Swarm Optimization for Power Plant Schedule by Considering “Take or Pay” Contract
Authors: Wati T , Masfufiah I , Suheta T , Muharom S , Setyawati N E , Triwijaya S
Published: January 2021

This study discuss 24-hours load scheduling to get the minimum generation cost. Fuel cost in load scheduling need to be considered, because fuel and power suppliers are bound by take or pay schedule. In addition load scheduling considering heat rate, start-up cost, minimum up time and minimum down time. Load scheduling calculate by priority list method that is completed using artificial intelligence, Binary Particle Swarm Optimization (BPSO). The data used in this study is IEEE 30 bus and Java-Bali 500 kV.
An experiment on different type of muffler on spark Ignition engine 110 cc performance
Authors: Setyono G , Ulum M , Lillahulhaq Z
Published: January 2021

The design of the exhaust system affects many parameters such as reducing the noise level, control velocity, temperature, back-pressure of exhaust gas and reduce pollution production. The exhaust system has many parts which consist of an exhaust manifold, resonator, catalytic converter, muffler, and connecting pipes. Muffler has the main function as a noise absorber. Furthermore, the temperature distribution on mufflers is also affected by fuel consumption by reducing back-pressure effect. This study has conducted an experiment to determine the effect of modified muffler shape in a motorcycle which consists of standard, scorpion, and 3v3 type. The effects of mufflers’ performance on the motorcycle are described on torque and power graphics. Furthermore, this study explains the muffler geometry effect on noise reduction from the combustion process. The installation of 3v3 muffler decreases torque and power in a motorcycle. Moreover, the installation of 3v3 muffler type raises noise pollution level which generates by the engine combustion process.
Gradient based ant spread modification on ant colony optimization method for retinal blood vessel edge detection
Authors: Liantoni F , Rozi N F , Indriyani T , Rahmawati W M , Hapsari R K
Published: January 2021

Retinal blood vessels are a very important object to diagnosing illness. Fast, automatic, adaptive, and accurate systems to segment the retinal vessels are particularly useful. The retinal blood vessels can be detected by edge detection. This research will compare the edge detection techniques with adaptive ant colony optimization (Adaptive ACO). Generally, the early ants on the conventional ant colony optimization (ACO) are randomly distributed. This condition can cause the ant distribution imbalances. Based on this problem, the ant distribution modification on ACO is proposed to optimize the ant placement based on the gradient. The gradient values are used to determine the ants’ placement. The ants are not randomly distributed but placed in the highest gradient. The so-called Adaptive ACO is expected to be used for better and faster path discovery optimization. The average PSNR of Prewitt edges, Sobel edges, conventional ACO, and the proposed method are 11.605, 11.913, 9.783, and 15.874 respectively. The PSNR of the proposed method has the greatest value than others. It shows that the placement of ants based on gradient can improve edge detection accuracy. The application of the Adaptive ACO method has successfully optimized the result of retinal vessel edge detection.
Application of vikor (vise kriterijumska optimizacija i kompromisno resenje) method for identifying amplifier damage
Authors: Nurmuslimah S. , Saidatin N
Published: January 2021

In this era, many electronics have been marketed in Indonesia. One of which is amplifier that is used to amplify the sound of MP3 player, radio, VCD or television. An amplifier is an electronic appliance that obviously has a certain lifespan or lifetime and afterwards damage will occur. Most people go to an electronics handyman to repair the damaged electronic appliance but not all handymen can analyze the damage easily. To overcome this problem, a system was setup to identify the damage of an amplifier. A damage identification on this system applied Vikor method. Vikor is a ranking method using multiple criteria ranking index based on certain measurement closed to the ideal solution. This application cloud be used as supporting consideration in talking the required steps for repairing an amplifier. The test result and calculation analysis using Vikor method obtained the system accuracy of 81.25%.
The design concept of bamboo in micro housing as a sustainable self-building material
Authors: Nareswarananindya  , Laksono S H , Ramadhani A N , Budianto A , Komara I , Syafiarti A I D
Published: January 2021

Bamboo is building material that is well known in Southeast Asia, which is renewable, environment-friendly, widely available and fast-growing, as other materials resource such as timber is diminishing and restricted due to deforestation. While timber demand is rapidly increasing, unfortunately, the supply is depleting. Therefore, bamboo can be suitably replacing timber and other materials in construction and other works—moreover, bamboo grown abundantly in Indonesia and easily found in each district as local material. Using local materials is essential in this fast-growing world. Local materials can reduce carbon footprint and support sustainable development efforts. Also, bamboo construction also technically eco-friendly and cost-effective with durable and have high sustainability impact. Besides, the land available for residential housing is currently running low. This problem requires innovation in terms of space effectiveness in design. As a two- or three-story compact bamboo house concerning sustainable local material. This research analyses the user configuration to proceed bamboo as local material to construct a compact house model that is green and durable. These works initiate nature sustainability buildings to fit into natural surroundings.
The design of the ship’s fuel estimation simulator uses a case study of the bung tomo trainer ship
Authors: Wiratno D , Mirianto A , Cahyadi T , Zuhri Z , Harini N V
Published: January 2021

The calculation of ship operating costs is a major element in determining tariffs. The determination of high or low tariff is very important in the shipping business. In other words, determining the proper ship operating costs is the key to the success of the shipping business. There are several components in determining the operational costs of a ship, one of which is the calculation of fuel needed to cover a certain distance. Usually for new routes, the calculation uses the formula specified by the Minister of Transportation No. KM. 58 of 2003. However, this manual calculation requires a lot of time and human error factors will result in inaccurate calculation results. So, we need a more effective and efficient way to calculate the amount of fuel needed to cover a certain distance. In this study, a simulator was developed that uses the concept of a spherical triangle to determine the distance and direction of a ship and then integrates it with the formula of the Minister of Transportation to get the results of the fuel calculation. From the results of 2 trials using the Bung Tomo Training Ship, the calculation results were faster and more accurate. Even more, the simulator users can simply click two points as the beginning and end of the ship’s journey. Thus, the simulator can simplify the process of calculating ship operating costs, especially the determination of new routes in the shipping business.
The list order of construction risk contract for small-scale construction service in surabaya, indonesia using analytical hierarchy process (ahp)
Authors: Aulady Mohamad F. N. , Nuciferani Felicia T. , Listyaningsih D , Putra Y P , Harianto Feri
Published: January 2021

Small-scale construction service providers dominate the construction industry in Indonesia. However, along with Indonesia’s economic growth, small-scale construction service providers owner has a chance to expanse their business. Based on their experience, small-scale construction service providers have limitations. They cannot take a priority, whereas the risky of the contract construction. This study aims to make a list order of the construction risk based on medium-scale construction service providers. With this study, we want to help share the medium-scale experience to small-scale construction service providers in terms of risk contracts in Indonesia to learn and anticipate it. We conduct risk identification by literature and make list order analyzing using Analytical Hierarchy Process (AHP). AHP method can provide a single and easy-to-understand of unstructured problems. This research indicates that mismatch between the volume of work in the Bill of Quantity and field conditions is the most risk in terms of contract construction. However, the lump sum contract also identified the risky contract based on medium-scale construction service providers.
Classification of community opinion on the use of the Transjakarta bus based on twitter social network using naïve bayes method
Authors: Meilani B. D , Hapsari R K , Novian I F
Published: January 2021

At this time, social networking is becoming a very popular communication tool among Indonesians ranging from children to adults. One of them is Twitter, which has quite a lot of users. This social network is used by users to write their opinions on a matter. One of the topics discussed in the Twitter social network is the Trans-Jakarta bus. In this study, the opinions of Trans-Jakarta bus users listed on Twitter are only limited to positive and negative opinions. An application designed to predict positive or negative opinions using the Naïve Bayes algorithm. The Naïve Bayes algorithm was chosen because it only requires a small amount of training data to estimate averages and variable variations. The developed application can make it easier for decision-makers towards Trans-Jakarta to find out public opinion on Trans-Jakarta bus services. The resulting system accuracy is 73% because the amount of training data used is only 62.5% of the total data of 50 data. While the test data that has been used are only 30 data. The proportions of the training and testing data affect the level of accuracy, so if you want a higher level of accuracy you can reproduce the training data used.
Extraction of anthocyanin pigment from hibiscus sabdariffa l. by ultrasonic-assisted extraction
Authors: Yuniati Y , Elim P E , Alfanaar R , Kusuma H S , Mahfud
Published: January 2021

Roselle flower contains various active compounds including organic acid, hydroxycitric acid, hibiscus acid, anthocyanin, flavonoids and polysaccharides The anthocyanin compounds in rosella flowers are the most important pigment of vascular plants, harmless and that make it interesting is a soluble pigment in water media Anthocyanin extract is one of the most successful natural sensitizers for solar cells, because this organic dye produces a high yield of photons to current conversion and is easy to obtain and cheap. Anthocyanins can be potential as sensitizers, because they range in the light spectrum from red to blue. The purpose of this study was to obtain anthocyanin pigments at the optimum extraction conditions from roselle flowers. The optimization of the method was carried out by analyzing the effect of ultrasonic wave frequency, process temperature, extraction time, and mass ratio of roselle flowers to the volume of distilled water on the anthocyanin concentration. The qualitative and quantitative compositions of the anthocyanin extract of rosella flowers were analyzed by UV-Vis spectrophotometer. The results showed that the optimal operating conditions for the extraction process were known at a temperature of 40 °C, a frequency of 24 kHz, a time of 5 minutes, and a ratio of 1: 25.
Effect of fly ash to water-cement ratio on the characterization of the concrete strength
Authors: Susanti E , Istiono H , Komara I , Pertiwi D , Septiarsilia Y , Syahputra F K
Published: January 2021

Fly ash (FA) is burning coal product which is used as supplementary cementitious materials (SCM) as the conjunction with cement. The use of FA is considered by its pozzolanic properties i.e. SiO2, Al2O3 and CaO to hardened concrete. The potential of FA as SCM has been well-known over the globe but that significant utilization has to be studied based on its compound’s characteristics and pozzolanic activity. For this case, the amount of FA is added 30% by mass of total cementitious material, concrete with fly ash (NFA) and another blended without FA as normal concrete (NC) made of ordinary Portland cement. This amount is indicated as dosage in moderate to high volume of FA classification. This replacement pairs with water to cement ratio (W/C) with the value of 0.47 and 0.30 e.g., NC1, NC2 and NFA1, NFA2, respectively. These W/C uses considering effect FA on water demand of concrete proportioned for equal slump. The results showed that NC2 and NFA2 in the age of 28-day inform higher compressive strength, 30% and 28%, respectively. Another indication from the comparison of NC2 and NFA2 were also in good agreement that the use of FA decrease the compressive strength around 3% to 6%.
Technology acceptance model for online cinema ticketing among moviegoers in java island Indonesia: an empirical study on tix id application
Authors: Palumian Y , Jayanti S C K , Indriyani R , Tarigan Z
Published: January 2021

Based on the technology acceptance model, factors that form the intention to use of technology product of performed by individual users are perceived ease of use and perceived usefulness. The purpose of this study is to examine the effect of these two variables along with the attitude toward using as a part of the theory of planned behavior as the intervening variable. This research is conducted under quantitative with partial least square (PLS) method. The results show that perceived ease of use has no effect on other variables while perceived usefulness has a significant effect 0.191 on attitude toward using and effect 0.490 intention to use. In addition, there is a significant effect influence perceived usefulness as 0.581to attitude toward using and effect as 0.338 intention to use.
Risk management in shipbuilding using bayesian network with noisy-or
Authors: Asdi R , Basuki M
Published: January 2021

This paper presents a method for risk management applicable in shipbuilding projects. We focused this study specifically to assess delay in project completion by analysing the production processes. The production processes were grouped into three major parts, namely the work of design, material procurement, and production processes. Risk data were collected from risk documentation of fast patrol boat constructions in PT. PAL Indonesia (the company). Bayesian network was used to assess the probability of project completion delay. Noisy-OR canonical model was used to define parameters needed for the Bayesian network model. Based on the current condition, the Bayesian network model predicted that there is a probability of delay of 0.67761739 that the project completion will be delayed. The Bayesian network model was also used to assess mitigation actions to reduce the probability of delay. Three mitigation action sets were provided based on the complexity of mitigation action: (1) less complex mitigation action, (2) more complex mitigation action, and (3) most complex mitigation action. The Bayesian network model predicting that the most complex mitigation action would provide the best result in mitigating the project completion delay.
High porous carbon nanofiber derived from lignosulfonate material
Authors: Rois M F , Widiyastuti W , Setyawan H
Published: January 2021

In this study, electrospinning technology, iodine treatment, thermal stabilizing, and carbonization processing were applied to produce lignosulfonate-based carbon nanofibers. The porous structure of the produced lignosulfonate-based carbon nanofibers primarily contained mesopores and a relatively small amount of micropores. Moreover, the increasing amount of sodium lignosulfonate (SLS) as lignin source was also studied. The diameter of fibre was impacted by the additional of SLS that may cause by the alkali content of SLS itself. In electrospun nanofiber phase, the presence of SLS reduce the specific surface area, but contrary increase the specific surface area after the nanofibers were carbonized into carbon nanofiber. Lignosulfonate-based activated carbon fibres can be used as a highly efficient adsorption and filtration material, and further development of its applications would be valuable.
Effect of hole diameter and basin size on the vortex gravity system
Authors: Herbhakti F A , Hantoro R
Published: January 2021

The vortex gravity system consists of a tube basin, a canal (worksection) and a water tank. Water is pumped into the upper tanker and flowed into the canal by opening the valve which then hits the tube basin and creates a whirlpool. The water that hits the tube and enters the outlet hole goes down to the lower tank and is circulated back to the upper tank. The outlet hole in the tube has 4 sizes and the tube size has 3 sizes. This study is based on experimental tests to determine the flow performance of the outlet diameter of the tube against the formation of vortices in the vortex tube. From several existing studies, the type of outlet hole in this tube has not been thoroughly studied. From the analysis results, it can be seen the difference in the results of each outlet size in the tube basin. With this question, this study aims to determine the strength of the vortex of the parameters that must be looked for, namely Water Flow Discharge (m3 / s), velocity (m / s), and Total Head Water (m). The vortex gravity system on a laboratory scale, based on previous studies or studies varying the diameter of the vortex tube and tube outlet hole, this study examined the effect of differences on the diameter of the vortex tube and the outlet hole of the tube basin. From the calculation of the vortex strength at the outlet hole of 25 cm, the results of the vortex strength are 7.53 m2 / s; 22.60 m2 / s; 45.21 m2 / s; 52.75 m2 / s. After that, proceed with the calculation of the outlet hole of 30 cm, the results of the vortex strength are 12.24 m2 / s; 28.26 m2 / s; 45.21 m2 / s; 56.52 m2 / s. Furthermore, the calculation at the 35 cm outlet hole obtained the vortex strength of 14.13 m2 / s; 30.14 m2 / s; 42.39 m2 / s; 60.28 m2 / s. the occurrence of fluctuation in the vortex strength results due to the energy available in the extracted water flow after hitting the outlet hole in the vortex tube. The graph produced in this calculation shows that the highest vortex strength occurs in a tube with a diameter of 35 cm.
FLOT : Location Privacy preservation in Internet of Things
Authors: Kesswani Nishtha
Published: January 2021

Internet of Things includes sensor enabled devices that are capable of doing a wide variety of tasks. As these devices capture huge amounts of information including the location of the user, these generate privacy concerns. In this paper, Fuzzy Logic Based Location Obfuscation Technique (FLOT), fuzzy logic based Location privacy preservation technique has been proposed. The technique was compared to other existing technique and the results indicate that the original location of the user is obfuscated to a great extent in the proposed technique.
MADM based Optimal Nodes Deployment for WSN with Optimal Coverage and Connectivity
Authors: Rajpoot Prince , Dwivedi Pragya
Published: January 2021

It is the digital era that provides importance for the research in Wireless Sensor Network (WSN). Different issues with different solutions are suggested by many authors. The realistic deployment having restrictions for cost, area coverage, Cluster Head (CH) coverage, and sink connectivity for WSN that demands an estimation of total count of sensors for deployment with the conditions for CH coverage and sink connectivity. Area coverage means how much portion of total area is sensed by deployed sensors nodes. CH coverage means the sensor node is able to transfer the sensed data to its CH without amplification and sink connectivity means that the CHs are connected with the sink and able to send the data directly without amplification. AHP is a Multi Attribute Decision Making (MADM) method that is used for the selection of best choice having less cost and efficient coverage and connectivity.
Analysing Benefits and Challenges of Information Communication Technologies: A Study on Nagaland
Authors: Vizo K. D. , Mall M. , Pant R. M.
Published: January 2021

This paper examines the status of Information Communication and Technology (ICT) in the state of Nagaland by using well-structured questionnaires and secondary data. The study had analysed the benefits and challenges of ICT covering the entire state. It is observed that although ICT had picked up well, there are many places especially in rural areas where ICT usage is still very low. There is no doubt that the use of ICT is contributing a lot to the uplift of socio-economic of the people but there is also a necessity of further improving the electronic public service delivery to citizens in a transparent, efficient, cost-effective and easy manner. In general, it is seen that the younger generation appears to be much more in favour of engaging ICT tools in their day to day work and while framing ICT policies more focus have to be given on the lower age groups so as to improve trust between citizens and government and between citizen and various institutions. The study also reveals that sincere efforts have been made to use the latest state of art technologies to take the state of Nagaland to the next higher level and the state is now fully aware of the benefits and challenges of ICT. The findings of this study shows that placing more emphasis on ICT can significantly speed up the overall inclusive socio-economic growth of the state and therefore more initiatives have to be taken to strengthen ICT so as to bring quick changes in governance and all other spheres of life.
Feature based analyses of lung nodules from computed tomography (CT) images
Authors: Hussain Md. Anwar , Gogoi Lakshipriya
Published: January 2021

Among various lung image modalities, CT (computed tomography) images have been found most suitable and widely used for detection of small lung nodules. Although an expert radiologist can analyse these images quite perfectly, however an efficient CADe (computer-aided detection ) system capable of detecting pulmonary nodules automatically may be of great help considering the large number of CT images, a radiologist needs to analyse a day in recent years. A few CADe systems have already been tested within lung cancer screening trial which have enjoyed mixed results. So, the field has enough voids to be filled and research towards development of novel and efficient CADe systems has become an interesting, but challenging field of research. We too have been trying to develop CADe systems that can analyse CT images to detect and identify various lung nodules. In the process, we are reporting herein one of our development for the same. Our CADe system has maintained its 81.25% accuracy in detecting malignant nodules. Hand-crafted features of the selected lung CT images were used in the study. The study is emphasised on developing efficient CADe systems capable of detecting solid nodules (size > 2 mm) at different locations, whether isolated, juxtapleural or juxtavascular nodules. While MATLAB was used to carry out pre-processing, segmentation and nodule detection, testing of datasets was done by a MLP (multilayer perceptron) network by using WEKA (Waikato Environment for Knowledge Analysis) software.
Prospective Of Artificial Intelligence: Emerging Trends In Modern Biosciences Research
Authors: Kumar Pradeep , Yadav Ajit Kumar Singh , Singh Abhishek
Published: January 2021

The use of computers and technology to simulate intelligent behaviors and critical thinking comparable to the human beings are termed as Artificial Intelligence (AI). Growing world population causing pressure on researchers to adopt the advanced method to solve the human need and requirements for better healthcare. In the case of human health, research AI playing a vital role in developing various applications for human walefare and society. AI can utilize to solve and interpret complex health care issues using computers for chronic diseases like alzheimer’s, diabetes, cardiovascular disease, and various types of cancers. And, this will help in reducing the economic burden and severity of diseases. In the last few years research publication based on AI increases rapidly in various biological fields not only in human health but also in other sectors. Therefore, the current article provides a brief understanding of the emerging treads and use of AI from beginning to 2020 by extracting data from the Pubmed, NCBI using specific words.
Abnormality Detection in Musculoskeletal Radiographs
Authors: choudhary Ravi Raj , Choudhary Somesh , Meena Gaurav
Published: January 2021

A radiographic study is a typical procedure utilized to find different kinds of abnormalities, where the identification of Musculoskeletal Abnormalities from the norm stands out as a crucial task. in this paper we suggests some deep learning methods to identify such Musculoskeletal Abnormalities using the MURA dataset which is one of the largest collections of upper extremity radiographs. We make use of DenseNet and VGG deep learning models to try to draw some unprecedented findings and results. In addition, we try to visualize all our results and findings using comparative graph study. We compare our model with models proposed during the Stanford ML Group MURA Competition using Cohen Kappa Statistic. The obtained results show that deep convolutional neural networks can achieve results which are very close and even better compared to current state-of-the-art models. We achieve comparable model performance to state-of-the-art performances in three of seven study types.
Analysis of EC over Gamma Shadowed α-η-µ Fading Channel
Authors: Yadav Poonam , Kumar Sandeep , Kumar Rajesh
Published: January 2021

Composite fading channels are used to characterize the real time wireless communication system, as it can account for multipath fading as well as shadowing effect on the channel. To analyse the performance of the wireless communication systems supporting real time applications effective capacity is a crucial performance measure. In this paper, analysis of effective capacity for the α-η-µ fading channel under the shadowing effect is performed. To model shadowing gamma distribution is used. Moreover, asymptotic expressions are derived in the pursuance of obtaining insight behaviour of the channel.
Fraud Detection in Financial Statements using Text Mining Methods: A Review
Authors: Singh Yadav Ajit Kr. , Sora Marpe
Published: January 2021

In the financial industry, financial fraud is one of the ever-growing hazards with far concerns. Financial statements are the fundamental papers which replicate economic position of a corporation. Users of the financial information like public, creditors etc. are the major foundations of a decision-making process for financing stakeholders. Financial fraud has extremely damaged the sustainable growth of financial markets and enterprises. The amount of financial reporting fraud cases keeps on developing. Each incident is a thick hit to partners, banks, and financial specialists and it costs human progress significantly. One of the serious issues is to recognize the financial reporting fraud by utilizing formation of an active model. The aim of this paper is to identifying frauds using various text mining techniques and guard, the public’s investments. This investigation will benefit auditors and financial governors.
Reinforcing Livelihood by Interdependency of HR Capacity-ICT: Relevance to Multi-cropping practice system in Indian Eastern Himalaya
Authors: Hatiboruah Jyoti , Pant Rajive Mohan , Choudhury Shibabrata
Published: January 2021

The rural economy of Eastern Himalayan region of India is mostly agriculture based, dominated by traditional as well as community knowledge, has been using as source of livelihood since long years back. But with Green evolution and technological advancement, High Yielding variety of cash crop like Large Cardamom (Amomum subulatum Roxb.) and influence of skill-information-technology are emerging in a great extent respectively only to ensure sustainable livelihood. Since it is seen that only through large cardamom cultivation, it is difficult to ensure sustainability, hence concept of Multicropping is very much demanding. Here, this paper highlights the influence and interdependency of Human Resource Capacity and Information and Communication Technology (ICT) on Multicropping as well as on large cardamom cultivation to ensure sustainable livelihood in this particular region.
Evaluation of energy efficiency and moisture diffusivity for convective drying of large cardamom
Authors: Dash Soumya , Dash Kshirod Kumar , Choudhury Shibabrata
Published: January 2021

The drying behavior of freshly harvested large cardamom capsules were studied in a hot air dryer within the temperature range of 50-80°C. The study on drying rate showed that the constant rate drying period was very short, and capsules mostly followed the falling rate drying period. The drying during falling rate drying was followed unsteady state mass transfer and was governed by Fick’s diffusion law. The drying rate was faster initially when the moisture content in the product was high but with a decrease of moisture content, the drying rate was found to be decreased. Nine different drying kinetics models were fitted to find the best suitable model to predict the drying kinetics of large cardamom capsules. The two-term model was the best-suited model out of the nine different models, representing the drying properties of large cardamom with the highest R2 and the lowest RMSE and χ2 values. The maximum effective moisture diffusivity Deff value of 3.898×10−10 was obtained at a drying temperature of 80°C, while the lowest value was 1.949×10−10 at 50°C. The dependency of effective moisture diffusivity with drying temperature was correlated by Arrhenius equation. The activation energy showing the minimum energy needed to extract moisture from a solid matrix of large cardamom capsule was calculated as 32.54 kJ/mol and the pre-exponential factor of Arrhenius equation was calculated at 7.6×10−4 m2/s.
Significance of Renewable Energy for Empowering Cooperative-Farming Sector in Majuli Island of India
Authors: Athira R , Parida A. , Choudhury S.
Published: January 2021

Agriculture is the backbone of the Indian economy and plays a vital role in the overall development of the country. Many studies and practices have proved the importance and benefits of electricity in agriculture throughout the world. However, the fossil fuel-based conventional energy supply to agriculture is always associated with environmental issues. In an attempt to study the significance of renewable energy in the cooperative farming sector particularly in the biodiversity regions, Majuli Island of Assam, India has been selected for the case study. Even though the major income source in the said locality is agricultural farming, they are deprived of getting the optimum benefit from this indigenous income source due to lack of technological intervention. Technological intervention in this sector in the biodiversity region is not imaginable without exploring the feasible intervention of renewable energy at an affordable energy cost. Therefore, in this paper, the significance of renewable energy in agriculture considering the environmental issues has been highlighted in general and in cooperative farming in particular.
Improved Reliability of Voice over Internet Protocol(VoIP) using Machine Learning
Authors: Kumar Vinod , Roy Om Prakash
Published: January 2021

Start Voice over Internet Protocol (VoIP) is the communication means inspired with the revolutionizing wireless internet technology to transfer voice signals. However, VoIP over wireless means faces several challenges in terms of data loss resulting in poor voice quality or communication delay. To deal with the practical aspects of voice communication over Internet Protocol(IP) we proposed a highly secure wireless network. The proposed VoIP as a secure wireless network for VoIP combines the advantage of Artificial Bee Colony (ABC) based network optimization based on node property. This is followed by implementation of two classifiers; Support Vector Machine (SVM) that identifies the affected route and Convolutional Neural Network (CNN) that detects the malicious nodes present in the affected route to offer secure data transmission. The quality of voice communication is evaluated in terms of dropped packets, delay and jitter to offer interactive communication service. The simulation analysis over 50 nodes had proved the effectiveness in achieving reliable quality voice calling service with average throughput of 98.65% with comparatively lower jitter, packet loss and latency of 2.325 ms, 1.35% and 1.616 ms, respectively.
Word Level Language Identification on Code-Mixed English-Bodo Text
Authors: Kalita Nayan Jyoti , Agarwala Ankita Goyal , Das Jayprakash
Published: January 2021

Since social media has become an active part of one’s life, people express their views freely in mixed informal languages on such platforms. So, in a multi-lingual country like India, it becomes really difficult for conventional language detectors to identify such languages. This paper mainly aims to detect the language at word level where the code mixed text can be in English-Bodo-Assamese. The data for the same is collected from some related Facebook pages and various classification algorithms are used to predict and compare the accuracy with which the detection is done.
Object Detection in Live Streaming Video Using Deep Learning Approach
Authors: Raj Jeberson Retna , Srinivasulu Senduru
Published: January 2021

Object detection in a complex scene is of challenge as the image contains numerous features. Object detection is important in surveillance, healthcare, recognition, manufacturing, military and agriculture etc. The traditional approaches are limited in accuracy and mainly focussing on image datasets. With the application of deep learning algorithm, the accuracy can be increased. In this paper, the Convolutional Neural Network (CNN) is introduced to detect the objects in the image frames. The input of video is decomposed into image frame and the particular image frame is considered for processing. The image is preprocessed and the noises are removed for further processing. In the next step, feature extraction process contains edge detection and extracting the meaningful shape and texture in the image. The shape which contains the higher level feature is then feed into convolutional layer. The convolutional layer consist of four parts such as number of filter, filter size, pooling layer and max pooling layer. With the application of activation function Relu, the objects can be identified. Furthermore, the Gradient descent algorithm is applied for optimization to improve the accuracy. The system has been tested with ImageNet and the results are very promising.
Dielectric Material Selection for High Capacitance Ratio and Low Loss in MEMS Capacitive Switch using Ashby’s Methodology
Authors: Kurmendra  , Kumar Rajesh
Published: January 2021

The performance of the RF MEMS capacitive switch is majorly decided on capacitance ratio and loss in the dielectric layer as they decide the isolation (in dBs) in off condition. The capacitances in a MEMS capacitive switch in pull-up and pull-down states are used for deciding the capacitance ratio. In this article, we have presented a method to find out the best dielectric material using Ashby’s methodology for high capacitance ratio and low loss thus high isolation in switch off condition. Firstly, a database of 10 mostly employed dielectric materials have been created, and then, material indices are derived using material properties such as dielectric constant, resistivity, conductivity, and loss tangent which have been used in the selection of dielectric material. Through the study it is observed that to have a high capacitance ratio and low loss in dielectrics, the down capacitance should always be much greater than pull-up capacitance and tangent loss must be kept at possible minimum. This method will be highly useful in the selection of the best dielectric material by switch designers.
Novel design and performance analysis of WSN node using NRF and ATmega328
Authors: Gupta Ashish , Kumar Rajesh
Published: January 2021

Designing an efficient wireless sensing network (WSN) node over a remote location is a challenging task in the heterogeneous environment. The two implementation challenges are – first, large distance with comparatively signal coverage and second, power consumption for devices. It is observed that the use of energy harnessing techniques by the research communityhas proven successfully redemption in power consumption for circuits involving antenna, microcontroller and sensor. In present work, a novel schematic design of a low power wireless sensing node has been discussed which is used for connecting different sensors such as moisture and temperature sensor. The design considered the wireless sensor node with a power module, a NRF, an Atmega-328 microcontroller and a GSM module to upload data over the cloud. NRF facilitates long-range communication up to a range of 1000m by using a maximum current consumption of 15mA. The wireless sensor node are key elements in implementing Internet of Things.

The performance in terms of power consumption is analyzed for long range communication. Experiment has been designed to transmit with an interval of 15 sec and interval of 60 sec. At the receiver end, the central node GSM sim800A module is used to upload data over the cloud platform Thingspeak. In comparative study with different microcontroller development boards & wireless methods it has been found that the designed WSN node is effective in saving power consumption. The node can act as master or slave and can communicate with several other nodes also.
Tribocorrosion behavior of Nb coating deposited by double-glow plasma alloying
Authors: Zhu Xinbin , Dang Bo , Li Fengkun , Wei Dongbo , Zhang Pingze , Li Shuqin
Published: January 2021

Titanium and titanium alloys are considered as good implant materials, but their poor tribocorrosion resistance limits further development. In this study, niobium coating (DG-Nb) was deposited on TA3 pure titanium (Pure Ti) by double-glow plasma alloying aiming to improve the tribocorrosion resistance of Pure Ti. The properties of the samples were characterized by using X-ray diffraction (XRD), scanning electron microscope (SEM). Open circuit potential (OCP) and coefficient of friction (COF) tests were used to examine the tribocorrosion performance. The results showed that DG-Nb can largely enhance the tribocorrosion resistance of Pure Ti in Ringer’s physiological solution.
Preparation and photocatalytic performance of TiO2-RGO-CuO/Fe2O3 ternary composite photocatalyst by solvothermal method
Authors: Li Dayu , Liang Zhongyang , Zhang Wentao , Dai Shuyu , Zhang Chao
Published: January 2021

In this work, an one-step solvothermal synthesis method is used to prepare TiO2-reduced graphene oxide (RGO)-CuO/Fe2O3 ternary composite photocatalysts with TiO2 and CuO/Fe2O3 nanoparticles coated RGO, while the structures and photocatalytic performance of these synthesized ternary composite photocatalysts are studied. It is found that Cu2+ and Fe3+ are substituted for Ti4+ into the crystal lattice of anatase TiO2 in these prepared ternary composite photocatalysts. TiO2 and CuO/Fe2O3 nanoparticles are uniformly coated on the surface of RGO and closely contact with each other. The Cu/Fe doping has obviously improved the absorption ability on the visible light, and the bandgap of the ternary composite can be reduced. Under visible light irradiation, by increasing the Cu/Fe doping amount, the photocatalytic performance can be improved until the Cu and Fe contents reached 0.075 wt.% and 0.1 wt.%, respectively. The prepared products can be reused for eight cycles to degrade the methyl orange solution, and it retains over 93% photocatalytic efficiency.
Kinetics of the thermal reduction process in graphene oxide thin films from in-situ transport measurements
Authors: Świniarski M , Wróblewska A , Dużyńska A , Zdrojek M , Judek J
Published: January 2021

We investigate the influence of the thermal annealing process on the transport properties of thin films made of graphene oxide. Specially developed methodology allows us to demonstrate that the thermal annealing process of graphene oxide thin films can be described as a kinetic process with one activation energy, which equals 0.94 eV ± 0.12 eV. Moreover, we show that the electrical transport mechanism evolves with the annealing temperature (reduction level) of GO thin films. We have noticed that the Variable Range Hopping transport model change from 3D, 2D to Efros-Shklvoskii with a reduction level. Our findings contribute to further understanding of the role of kinetics in thermal reduction processes of thin films made of graphene oxide and could be useful in applications in which electrical parameters need to be tuned.
Fabrication of void-free submillimeter-scale nickel component by bottom-up electrodeposition
Authors: Lim Chee Siong , Niwa Takashi , Watanabe Satoshi , Zhang Chao , Guan Aaron , Mitsuoka Yasuyuki , Sato Hirotaka
Published: January 2021

This study proposed and demonstrated the feasibility of adopting metallization method of bottom-up Damascene process (seed layer over entire patterned surface) in LIGA electrodeposition process to fabricate void-free submilimeter scale metallic components. Single additive (PEG of molecular weight, Mw 10,000) rather than complicated mixture of multiple additives is studied in order to simplify the additives concentration monitoring process. Hydrodynamic flow pattern and concentration distribution of additive in the electrolyte flowing across trenches of various aspect ratio were studied by using fluid kinetics simulation. Simulation results showed the shear flow of the agitated electrolyte across the top surface caused the formation of a concentration gradient of inhibitor (PEG) within the cavity, in which the concentration of inhibitor at the top surface was consistently maintained at a higher level as compared to the bottom part of cavity. The studies on the influence of PEG concentration on electrodeposition profile showed a relatively low concentration of 10 ppm has exhibited a remarkable difference in the electrodeposition rate at the top and inner surfaces of submillimeter cavity (bottom-up electrodeposition) which subsequently eliminated the formation of void/seam-like defects associated with conventional electrodeposition. Underfilling issue was identified and a two-step electrodeposition method was proposed to mitigate the underfilling effect. Nickel component electrodeposited by PEG-added electrolyte shows higher Vickers hardness of approximately 20% as compared to additive-free sample. Flat and thin surface layer that has been electrodeposited using this technique suggested a low risk of parts’ peel-off. This resulted in the simplified process of surface polishing, planarization and demolding. This approach provides an insight into fabrication techniques for void-free multilayer, millimeter-scaled components like watch parts.
CL as a tool for device characterisation: the case of laser diode degradation
Authors: Dadgostar S , Souto J , Jiménez J
Published: January 2021

Cathodoluminescence is a powerful technique for the characterization of semiconductors. Due to its high spatial resolution, it is emerging as a suitable method for the study of semiconductor devices. The reduced dimension of the devices and the multilayer structure of their active parts demand experimental means with high lateral resolution and probe depth tunability for characterising the different layers forming the device structure. Degradation is a crucial technological issue for high power devices. In particular, the failures of laser diodes are due to the formation of defects during the laser operation. Those defects can be imaged by cathodoluminescence; furthermore, its spectroscopic capabilities permit to go beyond the mere observation of the non-luminescent area morphology, allowing a better understanding of the physical mechanisms of degradation. We present herein an overview of the cathodoluminescence analysis of catastrophically degraded high power laser diodes, both single mode and multimode broad emitter lasers. The study of the defects responsible of the degradation is a step forward to establish models of degradation, necessary to improve the laser power and durability.
Literature’s Vexed Democratization
Authors: Grossman Claire , Spahr Juliana , Young Stephanie
Published: January 2021

This article examines the contradictions of the contemporary literary field that appears both increasingly capacious and more exclusionary than in the past. Discussing the expansion of publishing enabled by digital and online technologies, we note that these changes did not reshape the demographics of most published works in the US, which remain overwhelmingly white authored. We then turn to literary prizes as an indicator of who writes prestige literature, narrating the twentieth-century formation of a racially segregated field and its slow changes against the backdrop of publishing overproduction. Combining a history of prestige literary culture with a demographic analysis of prizewinning writers (1918–2019), we discuss how a mostly white, New Critic-dominated field became the much more diverse and wide-ranging scene of the present. While this area has importantly opened up to writers of different backgrounds, our data show that the inequities of earlier prizegiving now take shape as drastic educational barriers to entry. Observing that a great deal of contemporary literature dramatizes the peculiarity of performing racial difference—often under the auspices of white audiences—we argue that the path to “excellence” has never been more narrow for writers who are not white, and Black writers in particular.