bluuebunny/crossref_metadata_2025 huggingface dataset:
Applications of compliant mechanism in today’s world – A review
Authors: Jagtap S P , Deshmukh B B , Pardeshi S
Published: July 2021

In the world of globalization & competitive market there is demand of alternative designs with improved quality, economy & safety. Emerging designs of compliant mechanisms making noticeable contribution to economize cost of production. Compliant mechanism derives their mobility through deflection of flexible members opposite to the conventional rigid body mechanism. The integration of functions into fewer parts, compliant mechanisms offer significant advantages such as fewer parts, less wear, noise & backlash. Researchers expects this field will grow enormously due to advances in the compliant mechanism theory, development of materials with superior quality & advancement in 3D printing technology in the recent years. Recently many familiar examples of compliant mechanism are used in transportation, aerospace, micro-mechanism, biomedical, hand held tools, MEMS & robotics industry. The objective of the current work is to study compliant mechanisms & their applications in various fields communicated by various researchers.
Development of Laser Beam Machining using Power Diode Laser for leather cutting application
Authors: Vasanth S , Muthuramalingam T
Published: July 2021

Leather is a robust, durable and stretchy material created by tanning animal rawhide and skins. It is used to make variety of articles including footwear, bags, fashion accessories, furniture etc. The conventional method of cutting leather is a tiresome process. Laser diode technology offers advantages in cutting intricate geometries, stable cutting quality and potential to make the most use of leather product effectively. In this study, the machinability of leather using diode based laser beam machining and surface quality of the leather product have also been examined. The goal is to acquire the thermal effect caused by the laser at the cut contour edges. Buffalo leather has been taken as specimens in the present study. While cutting leather, it has been. proposed that diode based Laser Beam Machining minimize carbonization layer more than traditional machining.
PCIE IP Validation Process Across Process Corner, Voltage and Temperature Conditions
Authors: Karim N. I. A. , Wahab Aeizaal Azman A. , Nazli Alhady Syed Sahal , Wajdi Othman Wan Amir Fuad , Husin Hazmarini
Published: July 2021

IP validation has become more challenging for FPGA device as it supports high operating speed. PCIe is an IP used for high-speed data transfer. The link training and Initialization takes place at physical layer to initialize the link width and link data rate. The physical layer is getting more complex when it supports higher speed. The stability of link training is improved by optimizing the soft logic design in application layer. Two protocol tests usually validated in industry are link up testing and link & higher layer testing. Debugging tools supported by Quartus are fully utilized to detect any failure during link training. The characterization of link performance covers process corners, voltage and temperature conditions are hard to analyse. The H0 statement shows a significant difference for passing and failing case. The p-value is greater than 0.05 proved H0 statement is accepted. The difference on passing and failing percentage is insignificantly impacting overall link performance of PCIe. It concludes that the bug is random and not caused by any defects on the silicon layout of FPGA device. Thus, IP validation shows the robustness of the device and able to comply with base specification of PCIe.
Unmanned System for Gasoline Level Monitoring
Authors: Paputungan Irving V , Dhiaulhaq Faiz , Oktiawati Unan Y , Setiaji Hari
Published: July 2021

In order to ensure the remaining volume of liquid inside a tank that is normally checked manually and frequently, an unmanned monitoring system is proposed. The proposed system is developed based on the concept of Internet of Things (IoT). This paper presents a prototype for tank level monitoring. The prototype utilises SRF HC-SR04 sensor to measure the liquid level. Arduino Uno microcontroller is implemented to assist the data processing before any notification is sent to the user. The remaining liquid volume and LED notification are shown as the output of the prototype. Some testing have been conducted to observe if the prototype works fine and to measure any error during implementation. Result shows that the relative error is less than 2% and the standard deviation is less than 5%.
Comparative Analysis of Convolutional Neural Network Architectures for Real Time COVID-19 Facial Mask Detection
Authors: Lad Akash Manish , Mishra Anubhav , Rajagopalan Arul
Published: July 2021

The late 2019 outbreak of Coronavirus Disease (COVID-19) had an indelible imprint on the humanity. The world is recovering from the outbreak but there is danger of a second wave of the outbreak. To get rid of the outbreak it is necessary to prevent the viral transmission and it is need of the hour to maintain social distancing and wear masks in public areas. The governments are providing strict guidelines to wear masks in public places. It is not manually feasible to check if people are wearing masks or not. In this paper, process of detecting face masks in public places is automated using Convolutional Neural Networks by performing comparative analysis on Sequential bi-layered CNN, VGG-16 CNN and MobileNetV2 CNN architectures. Among these three architectures MobileNetV2 outperformed with a performance accuracy of 99.2%. The efficient Deep Learning architecture of detecting face masks can be achieved with the help of IoT (Internet of Things) devices and cameras, of those who are not following guidelines in public places. Such a system is very useful in post outbreak period and can be installed in public places such as Railway Stations, Airports, Parks, Schools, colleges, offices etc. to track and ensure wearing of masks by people. The contribution of this paper is not to reel-off the finding from the original paper on Face Mask detection with various architectures rather to provide results on the efficiency of using the MobileNetV2 architecture in comparison with Sequential CNN and VGG-16 architectures for crowd analysis mask detection.
Meta-heuristic Algorithms for Resource Allocation in Cloud
Authors: Nanda Mamta , Kumar Ashok
Published: July 2021

Resource allocation in cloud computing is inherently a challenging task due to the increase in the number of cloud users working on multifarious cloud applications in some of the infrastructure. The majority of resource allocation techniques existing till have focus on providing performance driven by the workload of the applications from diverse domains like scientific and business. This paper presents a detailed review of meta-heuristics algorithms for resource allocation in cloud computing environment. The reviewed meta-heuristic algorithms are capable of achieving much higher performance, reduction in a cost, reduction in time, improve utilization of resources, improve energy efficiency while resource allocation in cloud.
Physical Distancing and Temperature Sensing Bracelet
Authors: Khairam H , Alhady S S N , Liang W Z , Jing J L Y , Ling W P , Vivian N J V , Othman W A F W , Wahab A A A
Published: July 2021

The world is enduring difficulties in numerous fields because of this Coronavirus pandemic flare-up. All government had played it safe to forestall the infection transmission, for example, rehearsing social distancing and temperature checking before entering any preface just as declaring a lockdown. Notwithstanding, the 1-meter distance is not straightforward to estimate by unaided eyes, and it is difficult to carry along a meter rule regularly. Subsequently, inadvertently connect with others. Therefore, this would build our danger of getting contaminated by the COVID-19 infection. Moreover, the thermometer put at each person’s passageway has the threat of causing disease since numerous individuals share it. Regardless of whether a specialist is appointed to quantify guests’ temperature, the person does not have the option to keep up the guest’s social distance when taking temperature. In this research, a sensing bracelet proposed to determine physical distancing and temperature. The bracelet has two fundamental capacities. It can continually screen distance among client and others utilising a sensor. It will warn the client to keep up social distancing and avoid swarmed places when it distinguishes individuals under 1 meter. Second, it has a temperature sensor to determine the client’s internal heat level and will ring to caution the client if the internal heat level is more than 37.5°C. The experiment conducted able to achieve the requirement for a physical distancing.
Adaptive Headlight Control System
Authors: Mahadevan Raj Kumar , Gurusamy Muralimohan
Published: July 2021

This research paper focuses on the new method of a retrofittable Adaptive Headlight Control System (AHS) for automobiles like car, trucks, etc., Adaptive headlight system is the technology where the headlights can adjust their illuminating radius with respect to the steering angle and able to self-level its position depending upon the terrain and intensity of light beam changes dynamically high or low according to the oncoming vehicle. This system also considers the benefit of other motorists on the road. In the existing system, mechanical links are incorporated with the front lighting system and steering wheel, and the angle of light will change according to the requirements and the cost of this system is high which is mostly used in higher-end vehicles. In this study an attempt is made to develop a adaptive headlight system which can be retrofitted in an existing model of an automobile providing improved illuminating angles and light visibility under various terrain and road conditions. The proposed AHS system could be useful for applications like different lighting beams (low, high) and also for levelling operations. This system could be a better replacement for conventional headlights seen in low, mid-end cars and would help in the prevention of accidents especially during night driving.
A novel acceleration-based mode selection approach in mild hybrid vehicles
Authors: Shanu Pataparambath Noyalraj , Senthilkumar Subramaniam
Published: July 2021

When the regulations were first formulated in 2008, one of the potential way’s automakers were supposed to meet the goal of 95g CO2/km by 2020/21 was the hybridization of vehicles. Market participants and customers are becoming more interested in electric vehicles. Infrastructure, high-power device complexity, driving distance and requirements for protection all seem to be obstacles that will take longer than anticipated to integrate, followed by fuel cell vehicles, which will be the new significant thing, particularly in the commercial vehicle segment. As an outcome, hybrid vehicles with 48V architecture are perceived as the forerunners of complete electrification. It outperforms traditional in terms of fuel efficiency and high voltage hybrids in terms of price and time-to-market. Evaluating a control approach for torque management between the motor and engine and mode change decision, namely, from electric to the hybrid mode or likewise, is a major challenge for automotive service providers for hybrid electric cars. Each of these dynamics will directly affect fuel efficiency and manoeuvrability, notably during mode transition. Research work presented and examines a new idea for improved driving dynamics on a P3 mild gasoline car in Modified Indian Driving Cycle (MIDC) 1ST stage (urban) under system constraints such as sustaining 12V battery voltage, lower battery 48V SOC, and so on. The novel method that has been implemented is focused on two techniques. I. A modified Adaptive Equivalent fuel consumption minimization strategy for the engine’s and the motor’s power distribution, and II) A rules-based mode change decision.
Kinematics reconstruction of the EAS-like events registered by the TUS detector
Authors: Sharakin S. , Ruiz Hernandez O.I.
Published: July 2021

The Tracking Ultraviolet Set-up (TUS) is the world’s first orbital imaging detector of Ultra High Energy Cosmic Rays (UHECR) and it operated in 2016–2017 as part of the scientific equipment of the Lomonosov satellite. The TUS was developed and manufactured as a prototype of the larger project K-EUSO with the main purpose of testing the efficiency of the method for measuring the ultraviolet signal of extensive air shower (EAS) in the Earth’s night atmosphere. Despite the low spatial resolution (∼5 × 5  km2 at sea level), several events were recorded which are very similar to EAS as for the signal profile and kinematics. Reconstruction of the parameters of such events is complicated by a short track length, an asymmetry of the image, and an uncertainty in the sensitivity distribution of the TUS channels. An advanced method was developed for the determination of event kinematic parameters including its arrival direction. In the present article, this method is applied for the analysis of 6 EAS-like events recorded by the TUS detector. All events have an out of space arrival direction with zenith angles less than 40°. Remarkably they were found to be over the land rather close to United States airports, which indicates a possible anthropogenic nature of the phenomenon. Detailed analysis revealed a correlation of the reconstructed tracks with direction to airport runways and Very High Frequency (VHF) omnidirectional range stations. The method developed here for reliable reconstruction of kinematic parameters of the track-like events, registered in low spatial resolution, will be useful in future space missions, such as K-EUSO.
Identification of growth hormone receptor (GHR|AluI) gene polymorphism in grati-madura cattle and pamekasan-madura cattle population
Authors: Hartati  , Hapsari Angga Ardhati Rani , Rahmadani Sri Putri , Widiyawati Retno
Published: July 2021

The growth traits were one of the important economic characteristics in beef cattle. One of the growth genes that was suspected as a gene candidate for marker assisted selection (MAS) in Madura cattle was the growth receptor gene (GHR). This study aim was to detect the level of GHR gene polymorphism in Grati-Madura cattle and Pamekasan-Madura cattle populations. A total 86 blood samples of Madura cattle have been collected from the experimental barn of Beef Cattle Research Station and 51 blood samples of Madura cattle from Community Farms in Waru Subdistrict, Pamekasan Madura Regency. Blood samples were isolated using a zymo extraction kit. Detection of GHR growth hormone gene diversity using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method with AluI restriction enzymes. Data analysis used Chi-Square test for genotype, allele frequencies and Hardy Weinberg Equilibrium (HWE). The analysis result showed that GHR genes was detected 3 genotypes namely AA, AG and GG, each with an allele frequency of 0.267, 0.733 and 0.559, 0.441, this shows that the population of Grati-Madura cattle and Pamekasan-Madura cattle were polymorphic with PIC values of 0.315 and 0.372 respectively and were in the moderate category. The observed genotype frequencies in Grati Madura population deviated from HWE, while in Pamekasan madura population was not deviated from HWE. The value of Ho, He PIC and Ne were 0.394, 0.392, 0.315, 1.886 and 0.498, 0.493, 0.372, 1.973 respectively. In conclusion, The GHR gene polymorphism in Grati-Madura cattle and Pamekasan-Madura cattle were polymorphic and very informative so that can be used as gene candidate for MAS.
In vitro evaluation of black potato tubers mixed with Lactobacillus plantarum as a synbiotics for duck
Authors: Sumarsih Sri , Fuskhah Eny
Published: July 2021

The objective of the study was to evaluated in vitro evaluation of black potato tubers mixed with Lactobacillus plantarum (L. plantarum) as a synbiotics for duck. The completely randomized design with 3 treaments and 15 replications was used in the research. The treatments were T0 = black potato flour, T1 = black potato flour + 5 % L. plantarum, T2 = black potato flour + 10 % L. plantarum. The parameters were LAB viability, pH and total acid of black potato tubers mixed with L. plantarum as a ynbiotics. The Data were analyzed using analysis of variance (α=5%) and Duncan multiple range test. Result showed that total LAB and total acid were significantly (p<0.05) increased but the pH were significantly (p<0.05) decreased. The black potato flour with added 5% L. plantarum T2 was the best treatment with LAB viability of 6.8 x 109 CFU/g, pH of 4.68 and 0.85% total acid. The conclusion was the total LAB and total acid of black potato flour were increased but the pH were decreased with added 5% L. plantarum.
Plant growth promoter produced by Trichoderma virens and its effect on mungbean (Vigna radiata (L.) Wilczek) seedling
Authors: Inayati A , Setyowati L , Aini L Q , Yusnawan E
Published: July 2021

Trichoderma virens has great potency as promising biocontrol agents. As many as seven of T. virens strains which are effective to control soil borne pathogens are evaluated in this study for its capability to promote mungbean growth. In vitro evaluation showed that all strains were able to produce relatively high Indole-3-acetic acid (IAA) and performed effective phosphate solubilizing activity. IAA produced in Czapek dox agar varied from 5.2 μg mL −1 to 71.5 μg mL −1. Phosphate solubilizing activity showed after 2 days of incubation and the highest activity in plate assay was detected after 6 days after incubation. Phosphate solubilizing activity varied from 0.82 μg mL −1 to 4.69 μg mL −1. In planta study showed that T. virens Tv3 and Tv4 triggered the increase of IAA synthase in mungbean seedling as well as plant height and root length. A positive correlation was observed between IAA synthase of roots and several growth parameters (root fresh weight, plant height, and root length). Therefore, these two strains of T. virens could be suggested as plant growth promoters on mungbean.
Yield performance of several peanut genotypes under two different soil moisture availabilities during plant growth
Authors: Rahmianna Agustina Asri , Purnomo Joko , Nuryati
Published: July 2021

Peanut is relatively tolerant to drought stress but the pod yield is influenced by soil moisture availability especially during its critical phases. The experiment was objected to study yield response of genotypes and their tolerance to drought stress during generative growth stage. The experiment was conducted at Muneng Research Station, East Java with D3 climate type. The experiment was undertaken during dry season to avoid interference from rains to the treatment. The split-plot design with three replications was applied. The main plot was watering treatment i.e. water available during the growing season and water available during vegetative growth (up to 50 DAS). The subplots were 20 peanut genotypes. Weeding, pest and disease controls were intensively undertaken. The results indicated that the average dry pod yield of 20 genotypes under well watered and drought stress treatments were 2.345 t and 1.585 t/ha. Based on MP, GMP, STI, RED, TOL, and SSI it can be concluded that G1 and G12 were genotypes with high yield and drought tolerant but huge yield reduction under water-stressed condition. G8 was drought tolerant genotype with little yield reduction under stress condition. G11 was susceptible to drought with low productivity and low yield reduction under stress condition.
Extract of fermentated plants to increased content of vitamin c, total phenol and antioxidant of mustard greens
Authors: Yusuf Rachmiwati , Fuadi Indra , Istina Ida Nur , Swastika Sri , Fahri Anis
Published: July 2021

Research on the application of fermented plant extracts to increase the antioxidants of mustard greens has taken in the experimental garden of Horticulture Seed Center in Riau Province, from June to October 2018. This study used a completely randomized design with six treatments and three replications. (A) = neem leaves; (B) = sour-sop leaves; (C) = the crown of the god; (D) = lemongrass; (E) = mixture of plant extracts (neem leaves, sour-sop leaves, god’s crown fruit and lemongrass); and (F) = control. The parameters observed in this study were vitamin C content (mg/100 g), total phenol content (mg/100 g) and total antioxidant activity (% inhibition). The purpose of this study was to determine the effectiveness of several kinds of plant extracts (neem leaves, soursop leaves, god’s crown fruit and lemongrass and a mixture of several plant extracts) fermented with EM4 on levels of vitamin C, total phenol content and antioxidants of mustard greens. The results showed that in general, the fermented neem leaf treatment provided the highest effectiveness for all parameters compared to other plant extracts, namely vitamin C levels (72,846 mg/100 g), total phenol content (0.074 mg/100 g) and antioxidant (75.230%).
The implementation of jarwosuper technology to increase rice productivity and supports food self-sufficiency in Riau Province
Authors: Fahri Anis , Zona Rathi F. , NurIstina Ida , Yusuf Rachmiwati
Published: July 2021

The availability of agricultural land, especially rice fields, which covers an area of 8.08 million hectares has not been able to meet Indonesia’s food needs. The low rice productivity (around 3.5 - 4.5 tonnes/ha) in Riau Province are strategic issues today and in the future. Indonesian Agency for Agricultural Research and Development (IAARD)has produced various technological innovations that able to increase rice productivity, one of them is Jarwo Super technology. This study aimed to examine the application of jarwo super technology to increase rice productivity and support food self-sufficiency in Riau Province. This research was conducted through literature studies and field surveys. The method of planting legowo row has the opportunity to increase grain yield, because in addition to the higher population than the tile planting method, the orientation of the crop is also better in the use of solar radiation. In addition, the increase in grain yield will be more significant by choosing adaptive varieties. The application of super jarwo technology innovation, the productivity of rice plants reached 5.73 tonnes/ha higher than the tile method of 5.25 tonnes/ha of harvested dry grain.
Effect of dose and time of saline-tolerant Rhizobium sp. inoculation to productivity of black soybean (Glycine soja (l) merrit) on saline media
Authors: Mariati A.S.L. , Fuskhah E. , Purbajanti E. D.
Published: July 2021

Black soybeans are a food plant commodity that is used as raw material for making soy sauce because it can give a natural black color. This study aims to examine the effect of various doses and times of inoculation of saline-tolerant Rhizobium sp. Inoculum against the production of black soybean (Glycine soja (L) Merrit) on saline media. The research was conducted on 25 September 2019 - 20 February 2020 at the Green House and the Laboratory of Ecology and Plant Production, Faculty of Animal and Agriculture, Diponegoro University, Semarang, Central Java. The study used a completely randomized design with a 4x3 factorial pattern with 3 replications. The first factor is the inoculum dose, namely 0, 5, 10, and 15 mg/plant. The second factor is the time of inoculation, that are at planting, 7 and 14 Days After Sowing (DAS). The results showed that the inoculum dose of 15 mg/plant gave the highest yield on the variables of plant height, number of leaves, weight of seeds and weight of 100 seeds. Inoculum application at planting gave the best results on the variable number of leaves and seed weight. The interaction between dose and time of administration of Rhizobium sp. effect on pod and seeds weight.
Analysis of consumer preferences for 5 varieties of mandarins
Authors: Budiyati Emi , Rejeki Septiadinur , Zamzami Lizia
Published: July 2021

The development of commercial citrus varieties must be in line with consumer preferences. The purpose of this study was to identify the consumer preferences for 5 varieties of mandarins, namely Batu 55, Monita Agrihorti, Terigas, Madura, and Garut. The study was conducted at Indonesian Citrus and Subtropical Fruits Research Institute (ICSFRI) by performing an affective test. The sensory attributes assessed were fruit cleanliness, fruit shape, fruit skin color, ease of peeling, fruit flesh color, fruit flavor, and number of seeds. The results showed that for Mandarin cv. Batu 55, Monita Agrihorti and Madura, consumers liked all the sensory attributes of those varieties including fruit cleanliness, fruit shape, fruit skin color, ease of peeling, fruit flesh color, fruit flavor, and number of seeds. For Mandarin cv. Terigas, consumers liked the fruit shape and fruit flesh color. For Mandarin cv. Garut, consumers liked the attributes of fruit cleanliness, fruit shape, ease of peeling, fruit flesh color and number of seeds. The attributes of fruit shape and fruit flesh color at all types of mandarins were preferred by consumers. While the attributes of fruit cleanliness, skin color, ease of peeling, fruit taste, and number of seeds at several types of mandarins were still less favored by consumers. Thus, improving the lacking quality of the mandarins needs to be done.
Economic analysis comparison between broiler chicken reared in closed house cage and its reared in open house cage
Authors: Setiadi Agus , Sarjana Teysar Adi , Santoso Siswanto Imam , Nurfadillah Suryani
Published: July 2021

Aim of the study was to compare economic analysis of broiler chicken was reared in closed house cage and broiler chicken was reared in open house cage. The study of closed house cage was conducted in Closed House cage owned by Faculty of Animal and agricultural sciences Diponegoro University which has 22,000 heads of broiler chicken this cage was given by Charoen Pokphand Indonesia Ltd, Operasionalized of this cage collaborated with Cemerlang Unggas Lestari Ltd, wherever the study of open house cage was conducted in farmer cage Gunungpati subdistrict, Semarang Regency. Parameters which observed were FCR, mortality rate, length rearing period, live final weight, IP, revenue, production cost, BEP and income. Broiler farmer in Gunungpati reared 5,000-15,000 heads of broiler on average. Broiler chicken reared in closed house cage had mortality rate was lower, live final weight was greater, FCR was lower and IP was greater compared with broiler chicken reared in open house cage. Economic analysis showed broiler chicken reared in closed house have revenue was greater, BEP was lower, cost of production was lower and income/bird was greater compared with broiler chicken reared in open house cage. Technically and economically broiler chicken reared in closed house cage more benefit than broiler chicken reared in open house cage.
The influence of socio-economic factors on sustainability avocado farming (Persea americana)
Authors: Muhlisin  , Mulyatno Setiawan Bambang , Titik Ekowati
Published: July 2021

The potential of avocado in Indonesia is very promising, where market needs are far above existing production and supply. This production is directly related to the sustainability of the avocado itself, therefore the sustainability of avocado farming needs to be considered. The sustainability of the farming cannot be separated from the influence of socio-economic factors. The purpose of this study was to determine and measure the influence of socio-economic factors in influencing the sustainability of avocado farming. The research location was carried out purposively, and the location sampling was clustered. The method of determining the sample of respondents using stratified random sampling with a number of 125 avocado farmers. Retrieval of data, both independent and dependent variables, used direct data in the field. The data is scaled using the linkert scale. Data analysis was using path analysis. The results of the path analysis showed that socio-economic factors had an effect on the sustainability of avocado farming, with a standardized regression coefficient of 0.35 and p value <0.05. All of these indicators have an effect with each coefficient value of 1.00; 1.12; 1.01; 1.03; 1.04. Based on these data, it can be concluded that social-economic factors in the research area have an influence on sustainability, such as good production will lead to optimal prices, so that with optimal prices, the selling price will also be optimal as well. Likewise, with institutions and counseling, the existence of capital, and good relations between avocado farmers will have a direct effect on production.
Wind-induced numerical simulation and analysis of airship transport process
Authors: Ye Hu , Liu Yuan , Li Yunfei , Wu Xiaolong
Published: July 2021

Aiming at the problem that the stability of airship’s posture is destroyed by turbulent flow when the airship leaves the large factory building, a Computational Fluid Dynamics (CFD) numerical simulation method is used to simulate the condition that airship transport process in different angle of the incoming flow, and the surface wind load and equivalent force/moment of airship in variation with transport distance are ac-quired. The results shows that the turbulent flow of large factory building causes the variation of surface wind load of airship in the transport process, and the equivalent force/moment acting on airship body center show a certain degree of fluctuations; In 60 and 90 degree of the incoming flow, compared with other inflow angles, the distance affected by the turbulent flow of large factory building is shorter, the equivalent force and moment acting on the airship body center are larger, in the process of airship transport. The simulation results provide an effective reference for the safety of airship transport process.
Design and numerical simulation of a new type of staged yield mild steel damper
Authors: Shi Qingxuan , Chen Fenglin
Published: July 2021

In order to make up for the lack of single form of energy dissipation of the existing mild steel dampers, a new type of staged yield mild steel damper is proposed by combining two different forms of energy dissipation steel plates. Its construction and energy dissipation mechanism are introduction, based on the relevant theory, the expression of mechanical properties parameters are derived, and the finite element software ABAQUS is used to simulate the staged yield mild steel damper with different parameters. The results show that the staged yield mild steel damper not only possesses full hysteretic loops and excellent energy dissipation capacity, but also achieves staged yield function effectively. The height of the staged yield mild steel damper is an important factor affecting its yield displacement and hysteretic performance.
Study on Traffic Organization Strategy for Occupying-road Construction of Qingkou Interchange on Shenhai Expressway
Authors: Yu Chengqiang
Published: July 2021

Expressway construction is an important foundation of regional economic development in China. In the process of expressway construction and maintenance, occupying-road construction is inevitable. Proper traffic organization during occupying-road construction can not only promote the vehicles to pass through the bottleneck section of the work zone safely, orderly and smoothly, but also is the necessary premise of the project. Taking the Qingkou interchange reconstruction project of the southeast section of the Fourth Ring Expressway in Fuzhou City as an example, this paper studies and discusses the traffic organization strategy during the occupying-road construction of the expressway. From the three levels: distal end, middle end and proximal end, the hierarchical control strategy of traffic organization is put forward, which can provide reference for traffic organization of occupying-road construction on expressway.
Summary and Trend Analysis of Research Progress on Granular Slope Geological Hazards
Authors: Xie Liangfu , Wang Bo , Zhu Qingyang , Cui Jianbin
Published: July 2021

There are a large number of granular slope mixture geological disasters in the alpine mountainous areas in western China. Their structural characteristics are significantly different from the general slopes. They have the characteristics of poor self-stability, high suddenness and strong recurrence. With the continuous development of the western region of the country, such geological disasters have received close attention from scholars at home and abroad. This article first summarized and analyzed the basic characteristics of the typical domestic granular mixtures slope accidents, and understood the basic characteristics of disaster. Then the domestic and foreign research progress from the aspects of governance measures were summarized. Finally, based on the summary of typical granular mixtures slope disasters and research status, the existing problems in the current research were analyzed, and the key points and difficulties of future research had prospected. The research results have important theoretical significance for the treatment of granular slope.
Fire damaged box girder inspection and assessment and strengthening treatment
Authors: Dong Jianjun , Xie Hongyang , Cao Yuyun
Published: July 2021

Based on a fire accident in a bridge of the Jinan-Qingdao high-speed railway, the preliminary damage assessment of the box girder was conducted through surface inspection, concrete strength testing, concrete carbonation depth testing and reinforcement protective layer thickness testing methods. Then a corresponding numerical model of the fire damaged box girder was created by the Midas software, and the heat transfer analysis and thermal stress analysis were carried out. The results showed that the fire damaged level of the box girder were Grade II (moderate damage). Finally, the corresponding reinforcement measures were recommended.
Review on solid-liquid separation using various conditioning methods
Authors: Rashmi H R , Devatha C P
Published: July 2021

The increase in industrialization and population in the recent days the sludge production is also increased which has become difficult to handle it. Sludge used to be incinerated, compost and landfilling before disposal, but as it is not economic and environmentally friendly most of researchers are concentrating on the sludge dewatering process which are sustainable technologies so that sludge can be converted to semi solid which will be easy to handle and transport. Some sludge is used to produce to biogas, organic matter and also source of energy further processing was not done as it contains toxic compounds in it. Hence studies on sludge dewatering can be useful in terms of environmental and economic point of view. The present review work is on study of different properties of sludge, their effect on sludge dewatering, fundamentals of sludge and assessment of sludge dewaterability.
Validation and Similarity Evaluation of Leukocyte
Authors: Deepa P. , Deepa D.
Published: July 2021

Generally the Examination of WBC to identify the foreign particles, abnormal conditions and it shows the status of theleukocyte. To avoid rick factors disease of brain such as aneurism, stroke and tumor at initial stage. It also show the types, region and severity. The individual examination of basophil(B), eosinophil(E), lymphocyte(L), monocyte(M) and neutrophil(N) predetermination of patient body condition are possible in clinical level examination to get a suggestion regarding the diseases to get treated and some of the techniques are used to reduce the complexity. Automated and semi-automated tool is useful for the process. The microscopic images of different classification of leukocyte is taken from the microscopic images. Each image is evaluated, validated, compared and verified with ground truth image.
Minimizing surface reflectance of crystalline silicon: A simulation based study
Authors: Das Tiasa , Kumar Sandip , Upadhyay Anamika , Goswami Arjyajyoti
Published: July 2021

Silicon has been a popular choice for optoelectronic devices and solar cells since its discovery mainly due to its abundance in nature. However, methods to improve light trapping and hence increase the efficiency of these devices has always been a subject of great interest. The objective of this study has been to minimize the surface reflectance of thin film silicon through use of anti-reflection coating and surface patterning. In this study, the most effective anti-reflectance coating (ARC) is determined amongst three well known materials namely, Silicon Nitride(Si3N4), Titanium Dioxide(TiO2) and Magnesium Fluoride (MgF2) by simulation through S4 software by implementing Rigorous Coupled Wave Analysis Algorithm (RCWA). The best possible combination of the substrate and ARC is determined for a working wavelength range of 300 nm to 900 nm by varying the thickness of ARC. The best possible combination of substrate and ARC has been subjected to further investigation by imparting patterns and minimum average reflectance of 0.135986 was obtained experimentally.
Event Detection through Lexical Chain Based Semantic Similarity Algorithm
Authors: Jain Swati , Narayan Suraj Prakash , Meena Nalini , Dewang Rupesh Kumar , Bhartiya Utkarsh , Kumar Varun , Mewada Arvind
Published: July 2021

Twitter is a platform where millions of people tend to tweet about new events happening in their lives. Celebrities tweeting about the new product endorsement, Politicians tweeting about their views towards a policy or people, Natural calamities occurring are tweeted instantly. Studying this data can provide us with useful information. In this paper, we have proposed an Event detection using a lexical chain based semantic similarity algorithm, for detecting Events from Twitter streams. Lexical chains have been used to preserve the Lexical cohesion in a text. The Twitter data set was collected using “tweepy” API, then pre-processing was done, steps like tokenization, stop word removal, and stemming is carried out and stored the tweets in a text file. Then lexical chains were built using the tweets in the file. The formation of the key graph, with each node as a lexical chain, was carried out. Then the clustering algorithm ‘SCAN’ was used to cluster the lexical chains, the formed clusters represent the keywords of an event. The last summarization step was carried out for each cluster representing an event.
Development of a Simple Battery Management System for Cell Balancing
Authors: Calvin Immanuel S , Paul Sathiyan S
Published: July 2021

As the use of Lithium Ion (Li-Ion) battery is increasing, proper means of increasing the life cycle and reliability of the battery should be adopted. A discussion on the precautions to be carried out while integrating Li-Ion batteries are discussed. A Battery Management System (BMS) is developed to address the unbalance State of Charge (SoC) issue that arise in the battery pack. The proposed algorithm is simulated in MATLAB Simulink. The battery pack used in this simulation is inspired from Tesla. This paper can be used as a tutorial or as a reference for anyone getting started with Li-Ion batteries or battery management systems.
On-chip Analysis of Etched Drain based Cyl. GAA TFET with Elevated Density Strip
Authors: Dutt Arya , Tiwari Sanjana , Joshi Mayuresh , Nigam Prakhar , Mathew Ribu , Beohar Ankur
Published: July 2021

This paper comprises of, designing and analysis of novel 3D Gate All Around Cylindrical tunnel field effect transistor (TFET). The device designing incorporates hetero-substrate (HeS) material with inclusion of etched drain (ED) and elevated density strip (EDS) at source-to-channel junction for reduction in tunneling barrier width resulting in better ON-current (ION). For analysis purpose of device, investigation is carried out in terms of drain current profile, subthreshold swing (SS) and parasitic capacitances. The device has been recorded with steepest SS=35mV/Dec, robust OFF-current (IOFF)=1.51X10−19 A/µm, high ION=1.52X10−5 A/µm. Designing and analysis of the proffered structure has been executed using Technology Computer-Aided Design (TCAD) 3D device computation software.
Measuring nonuniform web tension for roll-to-roll manufacturing of flexible and printed electronics
Authors: Feng Dan , Wagner Ryan B , Raman Arvind
Published: July 2021

High-quality roll-to-roll (R2R) manufacturing for flexible and printed electronics often requires uniform web tension. Nonuniformity in web tension can lead to nonuniform performance of printed electronic devices across the width of the web, and excessive nonuniformity in web tension can lead to web wrinkling. Here we develop and test a noncontact resonance (NCR) method and a gentle contact stiffness mapping (GCSM) method for measuring the average web tension and its linear variation across the width of the web. The NCR method uses the lowest symmetric and anti-symmetric frequencies of a web with a closed-form expression to obtain its linearly varied tension. The closed-form expression includes the significant effects of air loading on web vibrations through accurate hydrodynamic functions. While the GCSM method is based on nonlinear regression of the contact stiffness on multiple locations of the web. Both methods are accurate, reliable, and inexpensive, and are compatible for a wide range of web properties, web path, web tension, measurement configurations, and environmental conditions. We cross-validate the two methods on a stationary test stand and in-line test the NCR method in two spans of a moving commercial R2R system. We measure up to 35.58% cross-span tension variation in that system, and both average tension and its linear variation can vary in different spans of the same R2R system. We expect the results presented in this article can improve quality control of R2R processes for flexible and printed electronics and maximize device yields.
Scroll ring chimera states in oscillatory networks
Authors: Maistrenko Volodymyr , Sudakov Oleksandr , Sliusar Ievgen
Published: July 2021

We report the appearance of a scroll ring and scroll toroid chimera states from the proposed initial conditions for the Kuramoto model of coupled phase oscillators in the 3D grid topology with inertia. The proposed initial conditions provide an opportunity to obtain as single as well as multiple scroll ring and toroid chimeras with different major and minor diameters. We analyze their properties and demonstrate, in particular, the patterns of coherent, partially coherent, and incoherent scroll ring chimera states with different structures of filaments and chaotic oscillators. Those patterns can coexist with solitary states and solitary patterns in the oscillatory networks.
Conversation Patterns between Children with Severe Speech Impairment and their Conversation Partners in Dyadic and Multi-person Interactions
Authors: Sotiropoulou Drosopoulou Christina , Murray Janice , Smith Martine , Launonen Kaisa , Neuvonen Kirsi , Lynch Yvonne , Stadskleiv Kristine , Von Tetzchner Stephen
Published: July 2021

Active engagement in interactions is crucial for the development of identity, social competence, and cognitive abilities. For children with severe speech impairment (SSI) who have little or no intelligible speech, active participation in conversations is challenging and can be critical for their social inclusion and participation. The present study investigated the conversational patterns emerging from interactions between children with SSI who use aided communication and typically speaking conversation partners (CPs) and explored whether active participation was different in interactions with different numbers of partners (dyadic versus multi-person interactions). An unusually large multilingual dataset was used (N = 85 conversations). This allowed us to systematically investigate discourse analysis measures indicating participation: the distribution of conversational control (initiations versus responses versus recodes) and summoning power (obliges versus comments). The findings suggest that (i) conversations were characterized by asymmetrical conversational patterns with CPs assuming most of the conversational control and (ii) multi-person interactions were noticeably more symmetric compared to dyadic, as children’s active participation in multi-person interactions was significantly increased. Clinical implications and best practice recommendations are discussed.
Analyzing the Quality of Aesthetic Surgery Procedure Videos on TikTok
Authors: Om Anjali , Ijeoma Bobby , Kebede Sara , Losken Albert
Published: July 2021

Background

TikTok is one of the most popular and fastest-growing social media apps in the world. Previous studies have analyzed the quality of patient education information on older video platforms, but the quality of plastic and cosmetic surgery videos on TikTok has not yet been determined.

Objectives

The aim of this study was to analyze the source and quality of certain cosmetic procedure videos on TikTok.

Methods

The TikTok mobile application was queried for content related to 2 popular face procedures (rhinoplasty and blepharoplasty) and 2 body procedures (breast augmentation and abdominoplasty). Two independent reviewers analyzed video content according to the DISCERN scale, a validated, objective instrument that assesses the quality of information on a scale of 1 to 5. Quality scores were compared between videos produced by medical and nonmedical creators and between different content categories.

Results

The included videos attracted 4.8 billion views and 76.2 million likes. Videos were created by medical doctors (56%) and laypersons (44%). The overall average DISCERN score out of 5 corresponded to very poor video quality for rhinoplasty (1.55), blepharoplasty (1.44), breast augmentation (1.25), and abdominoplasty (1.29). DISCERN scores were significantly higher among videos produced by doctors than by laypersons for all surgeries. Comedy videos consistently had the lowest average DISCERN scores, whereas educational videos had the highest.

Conclusions

It is increasingly important that medical professionals understand the possibility of patient misinformation in the age of social media. We encourage medical providers to be involved in creating quality information on TikTok and educate patients about misinformation to best support health literacy.
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection
Authors: Ullah Matee , Han Ke , Hadi Fazal , Xu Jian , Song Jiangning , Yu Dong-Jun
Published: July 2021

Protein subcellular localization plays a crucial role in characterizing the function of proteins and understanding various cellular processes. Therefore, accurate identification of protein subcellular location is an important yet challenging task. Numerous computational methods have been proposed to predict the subcellular location of proteins. However, most existing methods have limited capability in terms of the overall accuracy, time consumption and generalization power. To address these problems, in this study, we developed a novel computational approach based on human protein atlas (HPA) data, referred to as PScL-HDeep, for accurate and efficient image-based prediction of protein subcellular location in human tissues. We extracted different handcrafted and deep learned (by employing pretrained deep learning model) features from different viewpoints of the image. The step-wise discriminant analysis (SDA) algorithm was applied to generate the optimal feature set from each original raw feature set. To further obtain a more informative feature subset, support vector machine–based recursive feature elimination with correlation bias reduction (SVM-RFE + CBR) feature selection algorithm was applied to the integrated feature set. Finally, the classification models, namely support vector machine with radial basis function (SVM-RBF) and support vector machine with linear kernel (SVM-LNR), were learned on the final selected feature set. To evaluate the performance of the proposed method, a new gold standard benchmark training dataset was constructed from the HPA databank. PScL-HDeep achieved the maximum performance on 10-fold cross validation test on this dataset and showed a better efficacy over existing predictors. Furthermore, we also illustrated the generalization ability of the proposed method by conducting a stringent independent validation test.