Mechanical Properties for Elephant Dung and its Utilization as a Raw Material Composites Sheet: A Study

Elephant dung is an excellent source of cellulosic fiber that is a basic requirement for paper making. But they contributed to very small percentage production of elephant dung. So, researchers are trying to find a new area of utilization of elephant dung fiber pulp as in reinforcement’s polymer composite. In this experiment element dung fiber pulp in the natural fiber component chemically treated with alkaline and soda AQ solution in this study, it has been aimed to use elephant dung fiber pulp in composite material and to study mechanical properties of the produced material. The produced composite samples were then characterized using tensile test, Izod impact test, thickness test. The fracture surface of the polymer composite sample was also inspected with the help of SEM. The content of elephant dung fiber pulp is varied (35%, 45%, 55%) weight percentage whereas the epoxy resin is varied (50%, 40%, 30%) percentage is kept constant 15% in hardener. The entire sample has been tested in a universal testing machine as per ASTM standard for tensile strength and impact strength. It is observed that composite with 35% fiber pulp is having the highest tensile strength of 4mm 6.445 Mpa and 8mm 11.80 Mpa. The impact strength of composite with 35% fiber pulp washes highest than 45% to 55% dung fiber pulp. This produces composite sheet will be used for the surfboards, sporting goods, building panel this not only reduces the cost but also save from environmental pollution.

Performance Analysis of Smart Stick Designed for Visually Impaired People Using GSM and GPS

Visual impairment burdens the people heavily in today’s fast-moving culture. Although there are several measures for this impairment, many people skip such chances in fear of their economic condition. In view of helping those people, a sophisticated stick is designed using sensors like ultrasonic sensor, IR sensor and Arduino ICs. Electronically designed walking stick helps to trace the locations using GPS module and to avoid collisions through detection of objects at a certain range of distance from the person in all directions. Sensor placed beneath the bottom of the stick enables the identification of pits/hindrances on the ground. The visually impaired person will be alerted with a voice message generated using the voice recorder which records the response of all the sensors operating in different tracks. In this paper, GSM and sensors together have initiated the role of smart walking stick in the life of several human kinds.

Zero Cement Concrete with Self-Curing Technology: An Overview

Geopolymer concrete is the concept of environmental friendly construction material which helps in reducing the greenhouse gas emission, however it cannot be applied directly on field due to its steam curing process. To overcome this defect various researcher have found self-curing or ambient curing process to achieve same strength as in steam curing process for geopolymer. This paper presents an over review about self-cured or ambient cured geopolymer concrete produced by various methods.

Person Re-Identification Using Deep Learning Approach: A Survey

Person Re-identification proof crosswise over various observation cameras with disjoint fields of view has turned out to be one of the most intriguing and testing subjects in the zone of wise video observation. Albeit a few techniques have been created, what's more, proposed, certain confinements and uncertain issues remain. In the majority of the current Re-identification proof approaches, highlight vectors are separated from sectioned still pictures or video outlines. Distinctive similitude or disparity measures have been applied to these vectors. A few strategies have utilized basic consistent measurements, while others have used models to acquire streamlined measurements. Some have made models dependent on neighborhood shading or surface data, and others have constructed models dependent on the stride of individuals. When all is said in done, the primary goal of every one of these methodologies is to accomplish a higher-exactness rate and lower computational costs.

Image Compression Techniques Using Linear Algebra with SVD Algorithm

In recent days, the data are transformed in the form of multimedia data such as images, graphics, audio and video. Multimedia data require a huge amount of storage capacity and transmission bandwidth. Consequently, data compression is used for reducing the data redundancy and serves more storage of data. In this paper, addresses the problem (demerits) of the lossy compression of images. This proposed method is deals on SVD Power Method that overcomes the demerits of Python SVD function. In our experimental result shows superiority of proposed compression method over those of Python SVD function and some various compression techniques. In addition, the proposed method also provides different degrees of error flexibility, which give minimum of execution of time and a better image compression.

Attack in SDN Based Distributed Denial of Service

DOS assaults are executed with the aid of using assault tools, worms and botnets the usage of exclusive packet-transmission techniques and diverse types of assault packets to conquer protection structures. These issues cause protection structures requiring diverse detection techniques to be able to discover assaults. Moreover, DOS assaults can blend their traffics for the duration of flash crowds. By doing this, the complicated protection machine cannot locate the assault site visitors in time. In this challenge a conduct primarily based totally detection the usage of Crowd Correlation Analysis which can discriminate DOS assault site visitors from site visitors generated with the aid of using actual customers. In the Euclidean area to specific as a diagonal matrix proposed can grasp the potential of community machine towards every assault manner and the protection functionality of community machine. Cyber-assault consisting of DDOS assault continues to be the maximum effective assault that disrupts the real customers from having access to the crucial offerings. In software layer-primarily based totally DDOS assault, attacker makes use of different gadget in preference to the usage of his very own IP cope with to flood the focused machine and disrupts the offerings SDN (software program described networks) for value performance and community Application layer allotted denial of provider (DDOS) assaults have turn out to be a extreme hazard to the safety of net servers. These assaults avoid maximum intrusion prevention structures with the aid of using sending several HTTP requests flexibility, however DDOS is one of the maximum released assault on SDN layer. DDOS assault on this kind of surroundings results in machine failure DDoS is one of the maximum released assault on SDN layer. DDOS assault on this kind of surroundings results in machine failure monetary loss, facts theft, and overall performance degradation massive survey has been made to locate and save you DDOS primarily based totally assault in software layer and SDN primarily based totally surroundings. We suggest an powerful protection machine, named Sky Shield, which leverages the caricature facts shape to fast locate and mitigate software layer DDOS assaults. Novel calculation of the divergence among sketches, which alleviates the effect of community dynamics and improves the detection accuracy.

A Study on Novel Corona Virus Disease (COVID-19)

COVID-19 is a global pandemic and life threatening virus that mainly influences the respiratory tract of mammals, consisting humans being. It was 1st isolated in 1937 from an infectious bronchitis virus in birds. Many years ago, scientists have investigated that corona virus can infect mice, horses, dogs, pigs, rats, cats, cattle and turkeys. This zoonotic virus was first identified from Wuhan City, China and presently increasing very rapidly. The world has confirmed 141,057,106 cases, which includes 3,015,043 deaths and 793,484,083 vaccine doses administered as per the WHO till 20th April, 2021. Hence the aim of this paper is to provide a detailed review of COVID-19 including their history, origin, characteristics, symptoms and impacts along with preventive measures to be taken to restrict the outbreak of this evil virus of on human life.

Mechanical and Biodegradation Behaviour of Jute/ Polylactic Acid Green Composites

Global warming, diminution of fossil fuels, escalating oil price’s are the major reasons which forces the researchers to develop green products for the sustainable development. In this research work, green composites have been developed with jute fibers as reinforcement and poly lactic acid as matrix material using compression moulding technique. All composites were developed with maintaining the reinforcement as 30% fiber volume fraction. The influence of curing temperature with the range of 160°C, 170°C and 180°C was investigated for various mechanical properties of developed composites and degradation behaviour of developed composites were analysed using soil burial test. Results acquired from the tests specify that the tensile and flexural strength decreases with upsurge in curing temperature. Morphology study using scanning electron microscopy is further justified the findings obtained from mechanical tests. Biodegradation study was done on the all the three different composites under the soil burial conditions for 9 months and results indicate that composites developed at 160°C degrade faster as compared to others. This study also gives an optimum curing temperature for the development of jute/PLA composites.

Modeling and Optimization of Carbon Dioxide Removal in Packed Bed Column Reactor

Global warming due to greenhouse gases has become a serious global issue. Extensive efforts are being made to fighting this phenomenon through carbon capture as carbon dioxide (CO2) is its major contributor. This study focused on CO2 capture in packed bed column reactor using Poly-(D) glucosamine under the various process parameters such as temperature, feed flow rate and mass of the adsorbent. Statistical design of experiments was carried out in order to analysis the effect process parameters on the capacity of CO2 capture in packed bed column. The obtained results show that feed flow rate has the significant affect compared to others. The maximum of 956 mg of CO2 is captured under the following operating conditions; temperature of 40oC, feed flow rate of 30 ml/min and 0.25 g of the Poly-(D) glucosamine. The ability of Poly-(D) glucosamine to capture the CO2 in packed bed column is confirmed.

Factors Determining Adoption of Outsourcing Logistics Functions: A Study of Manufacturing and Trading Sectors in Sri Lanka

This study aims at identifying the determinants of adoption of outsourcing logistic functions in Manufacturing and Trading companies in Sri Lanka. After careful review of the existing literature perceived cost effectiveness, quality concerns of logistics outsourcing, perceived risk and perceived professionalism of logistics service provider were identified for the study as their high theoretical and empirical importance in determining outsourcing decision. Primary data was collected by means of semi structured questionnaire from 60 organizations that carry out manufacturing and trading businesses in Sri Lanka. The collected data was analyzed using descriptive statistics and simple and multiple linear regression analysis. Initial simple linear regression analysis proved the statistically significant impact that each of the identified variables have on the adoption of outsourcing. However the multiple regression estimated in this study to analyze the collective effect of the suggested model concludes that the decision makers perception about the cost effectiveness of outsourcing and their perception of risk of outsourcing better explain the adoption of outsourcing in Manufacturing and trading sector in Sri Lanka. Hence, the outsource decision depends on the careful assessment of the decision-making company on its cost effectiveness and possible risk. Therefore, the findings of the present study suggest that outsourcing partners should be carefully selected in order to get the benefit of outsourcing.