bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on optimization of deep learning algorithm based on convolutional neural network
Authors: Yiyue Luo , Yu Fan , Xianjun Chen
Published: April 2021

Convolutional neural network is a representative one of deep learning algorithms. It plays an important role in improving the learning level of artificial intelligence. Therefore, this article discusses the optimization of convolutional neural networks and deep learning algorithms. The optimization of deep learning algorithms and its application in actual image recognition are discussed for reference.
Development Route Analysis of Intangible Cultural Heritage Industry of China Based on Data Mining
Authors: Chen Zhengyu , Huang Jiajing , Dai Hao , Liu Jian
Published: April 2021

Industrialization is an important way to protect and inherit intangible cultural heritage, which can enhance the vitality of intangible cultural heritage. The development of intangible cultural heritage industrialization can not only meet the needs of intangible cultural heritage protection and inheritance, but also meet the diverse cultural needs of the people. This paper uses DEA model to analyse the development status of intangible cultural heritage industry of thirty-one provinces and cities of China, discusses the main problems of intangible cultural heritage industry, and gives three suggestions of promoting brand building to enhance market positioning; accelerating creative research and development to promote the value-added of intangible cultural heritage products; innovating business model to promote industrial transformation and upgrading to provide some references for relevant researchers.
Crowdsensing big data: sensing, data selection, and understanding
Authors: Zhai Shuying , Li Ru , Yang Yuange
Published: April 2021

Mobile Crowdsensing (MCS) has become an emerging paradigm for large-scale sensing. It empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g., smartphones, wearable devices), aggregates and fuses the data in the cloud for crowd intelligence extraction and human-centric service delivery. The data contributed by the crowd in MCS systems presents the features such as multi-modal, rich-content, spatio-temporal, and human-centric. The key challenges and techniques about crowdsensing big data were discussed. The recent progress of our group in this promising research area was described.
Research on the Design of Site-based Interactive Installation Concerning Cyber Speech Violence Grounded on Arduino
Authors: Qi Wang
Published: April 2021

Cyber speech violence is committed in the non-physical form on online social platforms. In some online incidents that have already drawn much attention, what the victim said and did is often infinitely exaggerated and misinterpreted. Meanwhile, a large number of netizens usually criticize these incidents with their own limited perceptions and understandings, standing on the commanding heights of morality. In consequence, with the on-going development and spread of the incidents, more netizens will participate in such violence. Despite the helplessness of the victims, more criticisms emerge as follows, thus fueling the violence in virtual world to become real-life violence. In order to alert people to deeply understand the harm of online speech violence, the research applies Arduino, the open-source platform, in the design of site-based interactive installations. Such application aims to present intricate virtual perceiving behaviors in a structured and storyboard manner, thereby surpassing the design of traditional experiential interaction. Furthermore, it enables the operator to enter the scene from the first perspective, which is more in line with human cognitive habits. By means of constructing scenes, shifting plots and designing interactive process, the prevailing virtual speech violence in the online world will unfold before the eyes of the viewers. Taking the “site-based interactive installation of internet speech violence”, supported by Arduino as an instance, this research has evidenced the feasibility of employing Arduino in site-based interactive installations, as well as has provided reference for the reform and development of constructing experiential interactive installations.
Mo-BoNet: A TIME SERIES CLASSIFICATION MODEL BASED ON COMPUTER VISION
Authors: Mingcheng Li , Yubo Dong , Hongli Wang , Pengchao Li
Published: April 2021

Time series are widely distributed in many fields. Classical statistical methods are difficult to model the deep meaning of time series, and the deep learning methods based on recurrent neural network has great limitations when it is applied to indefinite long time series. In order to solve the above problems, a time series classification model based on computer vision is proposed, which transforms the time series classification problem into image classification problem. Firstly, three kinds of images with different linewidth corresponding to the time series are used as input to reduce the information loss in the conversion process. Secondly, the transfer learning model based on MobileNetV3-Large is used to encode the image data, and XGBoost is used for classification. The experimental results show that the classification effect of this model is better than that of the classical image classification model, and its XGBoost is also better than other ensemble methods, which proves the feasibility of computer vision method in time series classification task.
Research on Key Techniques for Super-resolution Reconstruction of Satellite Remote Sensing Images of Transmission Lines
Authors: Si Weiguo , Han Jiajia , Yang Zhi , Ma Xiao , Deng Yuanjing , Luo Meng , Li Chuang , Zhao Binbin , Wang Jian , Zhao Bin
Published: April 2021

The data point target on the satellite remote sensing image of the transmission line is restricted by satellite remote sensing imaging equipment and transmission conditions, which makes it difficult to guarantee the clarity of the transmission line. Image super-resolution technology aims to recover high-resolution images from low-resolution images to improve the detailed information of the transmission line itself, which is of great significance for the intelligent inspection of transmission line satellite remote sensing and hidden danger monitoring. Aiming at the problems of traditional methods relying on multi-frame image sequences and the reconstruction results are too smooth, this paper proposes a single-frame remote sensing image super-resolution method based on the boundary balance generation confrontation network. Experimental results show that this method can provide more high-frequency information, and the reconstruction result is closest to the real image. Compared with neighbor interpolation, bicubic interpolation and other methods based on deep convolutional neural networks, the PSNR of the results in this paper is significantly improved, and effectively enhances the detailed information of the transmission line and the surrounding environment.
A Car-Following Model Using Online Sequential Extreme Learning Machine
Authors: Yan X H , Zhou Z W
Published: April 2021

To prevent the sedimentation and loss of real-time data reflecting the car-following behavior and use it for modeling services, a car-following model using online sequential extreme learning machine is proposed. This model based on car-following behavior is affected by the driver’s memory effect, and a forgetting factor is introduced according to the timeliness of incremental data in different traffic conditions. It is trained, validated, and tested by NGSIM project data. Compared with other data-driven car-following models, the model has higher predictive accuracy and better real-time performance. With the help of experimental simulation, it verifies that the average time of the model’s online update is about 0.004s, which can fully meet the real-time requirements of the online traffic simulation system. The research results show that the car-following model proposed in this article is reasonable and feasible.
A BERT based Chinese Named Entity Recognition method on ASEAN News
Authors: Zhuang Haoyu , Wang Fu , Bo Songlin , Huang Yongzhong
Published: April 2021

As the first step of building a knowledge graph to record the ASEAN counties’ information, we aim to conduct Named-entity Recognition (NER) on the Chinese news about ASEAN counties. We employ a Bi-directional gated recurrent unit to replace the LSTM architecture to improve both models’ effectiveness and capability in understanding polysemous words. The state-of-the-art word embedding model, BERT, has also been included to generate qualified word vectors for the NER task. Besides, we also propose a similarity-based dataset partition method to help model learning the polysemy within the Chinese news. Experiments have been done to demonstrate that the combination of such improvements can benefit the models’ performance in identifying different types of named entities.
Cutting parameter optimization method in multi-pass milling based on improved adaptive PSO and SA
Authors: Fang Yilin , Zhao Lili , Lou Ping , Yan Junwei
Published: April 2021

In the production process, cutting parameters greatly affect the production cost and energy consumption, so it is very important for manufacturers to optimize cutting parameters. In this paper, an improved particle swarm optimization (PSO) is presented to optimize cutting parameters for minimizing carbon emissions, production cost and processing time in multi-pass milling. First, a multi-objective optimization model of cutting parameters is established with number of milling passes as one of decision variables. Then, an improved adaptive simulated annealing particle swarm optimization (IAPSOSA) is proposed to obtain the optimal solution of cutting parameters. At last, a case study is given to illustrate that the proposed method is effective to optimize cutting parameters for economic and environmental benefits.
Research on the Teaching Mode of College English Based on Artificial Intelligence
Authors: Liu Aihua , Kong Dehua
Published: April 2021

In recent years, the breakthroughs of AI have recently occurred in the fields of natural language processing, image recognition and so on. How to introduce AI technology into college English teaching and efficiently integrate with college English “teaching” and “learning” has not yet been fully studied. The AI technologies, especially in NLP, provide the possibilities of enhancing college English teaching qualities and build the new college English teaching mode. Studies on the efficient connection of teaching and learning concerning the applying of AI are scarcely found. This thesis analyses the integrate on of AI and college English teaching, especially the feedback of self-regulated learning evaluation and try to probe new teaching modes against the AI backdrop. Related researches have demonstrated that it will provide new ideas and entry points for the reform of the current college English teaching mode, and is of great significance for achieving the goals of college English teaching.
The application of eye tracking technology in the evaluation of shoulder fit of male suit
Authors: Yang Lin Mei , Li Yue , Wang Xiao Gang
Published: April 2021

With the development of science and technology, intelligent production of clothing has become a major trend, and male suit, as a kind of clothing with stable style and subtle changes, is undoubtedly one of the goals of intelligent production. In fact, in the intelligent production of men’s suits, fitness evaluation has certain research significance for both the early pattern design and the later quality evaluation. However, up to now, the evaluation system for the fitness of men’s suits is not perfect, and most of them lack a certain objectivity. Therefore, this paper will analyze and solve this problem by using eye tracker experiment to evaluate the fitness of men’s suits’ shoulders. By dividing the interest area of men’s suit style and selecting the eye movement index of the tester, the eye movement data of four views and five interest areas of men’s suit were analyzed and compared, and finally the evaluation standard of the fit of men’s suit shoulder was obtained.
Analysis of Software Security level based on system clustering and correlation
Authors: Yin Shizhuang , Shi Quan , Wang Yadong , Wang Shuai , Wu Weiyi
Published: April 2021

With the wide use of electronic devices, passwords are used increasingly frequently. How to effectively evaluate password security needs our further research. In this paper, the known leaked passwords obtained from the network are analyzed by cluster analysis, frequency analysis, and correlation analysis by using system clustering and correlation, the strength grade model of the password is established, and the relationship among the factors of the password is analyzed. It shows that most people’s personal information plays an important role in building passwords.
Research and Design of Rice Wine Aging Device Based on Fluent
Authors: Ni Hongjun , Wang Kaixuan , Lv Shuaishuai , Wang Xingxing , Zhang Fubao , Liu Peng
Published: April 2021

Rice wine has a spicy and poor taste, which becomes soft and long aftertaste after natural aging for more than one year. According to the problems of long time, large area and low efficiency in natural aging process, rice wine aging device was designed in this paper. Firstly, the requirements of rice wine aging device were analyzed to establish its three-dimensional model. Then, heat transfer performance of this device was analyzed with Fluent software and the effect of temperature field distribution on the aging process of flower dew was studied, which determines the best aging temperature. Finally, a prototype of rice wine aging device was made, and the samples of rice wine were aged in it. The results show that the aging device can keep 55? for 12 days, which can achieve the effect of natural aging for one year, and the aging effect is significant, which is of great significance for the realization of mechanized production in wine industry.
Research on Data Quality Control Method of Eucalyptus Plantation Sensor Network
Authors: Guang Deng , Xinwen Yu , Dongpu Fan , Chen Zhu , xu Zhang
Published: April 2021

The Internet of Things technology can provide data support for precise management measures and reflect the effect of management activities in time through long-term monitoring of plantation forest stands and environmental factors. However, the networking and deployment of the Internet of Things based on sensor network in the plantation forest has just started, and the stability of the sensor network itself is not very reliable, so the data quality will be greatly affected. In this paper, based on the experimental data and the experience of continuous data post-processing such as meteorology, the data quality of eucalyptus plantation forest sensor network is preliminarily analyzed. Then, on this basis, some algorithms of data interpolation and data integration are given according to different observation indexes, which lays a foundation for the further application of sensor network data of plantation forest in the future.
Track slab crack detection based on full convolutional neural network
Authors: Li Wenju , Chen Huiling , Zhang Yaoxing , Shi Yanjiao
Published: April 2021

In recent years, with the rapid development of railway industry, railway safety has become an issue of increasing concern to people. The crack is the biggest threat to the safety of the railway. Because the pictures can only be collected at night, the pictures collected have many problems such as noise and uneven illumination. In order to solve these problems, this paper proposed a method of track slab crack image segmentation based on full convolutional neural network. In this method,VGG-16 is used as the backbone network, and the dilated convolution is added into the backbone network. Then the spatial pyramid pooling method is used to extract more global and local feature information. In addition, the HED network is used to obtain multiple output results. Finally, in order to make the model more discriminative to the characteristics of each channel, SE module is added. Experimental results show that the proposed method reaches 81.84%,67.68% and 84.55% in precision, IoU and F1-score respectively in the self-made data set, which is superior to the traditional segmentation method and U-Net method, and can meet the needs of practical engineering.
Research on BP neural network in enterprise credit rating management based on artificial intelligence era
Authors: Ye Jingyi , Han Xiao
Published: April 2021

BP neural network has been gradually applied in the field of economic management. It has many advantages that traditional methods can’t achieve, but there are also disputes and problems. In this paper, the BP neural network model is established to analyze the credit risk indicators of listed companies, and the learning system of enterprise credit rating management is established to predict the future credit risk, so as to achieve the purpose of enterprise risk management, and the corresponding conclusions and suggestions are given to promote the development and innovation of enterprise management and artificial neural network.
RETRACTED: Analysis of Application of Tennis Electronic Referee Based on Artificial Intelligence in Tennis Matches
Authors: Shi Xiaoyu , Zhang Jianxin
Published: April 2021

In today’s era of rapid development of artificial intelligence, with the continuous development of technology, electronic referees have become an important part of many sports events, and artificial intelligence technology has become the brain of competitive sports and integrated into major events. this article uses artificial intelligence algorithms, graph theory and ID3 algorithms to establish an analysis of whether electronic referees violate rules in tennis matches. And use post-pruning technology to realize the pruning of the classification decision tree, generate classification rules, and complete the construction of the classification decision tree model used by the tennis electronic referee in the tennis match. The experimental results show that the application analysis of the artificial intelligence-based tennis electronic referees in tennis matches explored in this paper is more recognized and liked by athletes and spectators, and the athletes’ perception of the fairness of the game has increased by about 55%.
Flipped Classroom Teaching System Design under the Background of Subject Reform Based on Information Technology
Authors: Wang Yang , Tong Wuning , Lv Qingli , Luo Yu , Wei Nian
Published: April 2021

With the rapid development of modern information technology, some traditional teaching models in colleges and universities will not be able to adapt to the pace of change. The new teaching model flipped classroom not only meets the requirements of our country’s new curriculum reform, but also allows students to reduce the burden of learning after class, and achieve the best of both worlds. The purpose of this article is to study the design of the flipped classroom teaching system under the background of subject reform based on information technology. This article adopts literature research method, survey research method and action research method to carry out research. This article summarizes the flipped classroom teaching mode and practical cases through a literature review of relevant domestic and foreign literature. This article proposes how schools and teachers should respond to the development of information technology and the development trend of “flipped classroom” under the current situation, and provide certain guiding suggestions for future classroom teaching reforms. This article selects two classes of teachers and students in a university in this city as the research objects, investigates the current teaching status of the curriculum, summarizes and analyzes the characteristics and problems, and draws on the results of existing practical research to initially build a flipped classroom suitable for this teaching practice Model, and based on this model, select the content, carry out the teaching design and practical experiment of the flipped classroom, and finally this article carefully summarizes and reflects on the practice. The survey results show that. 85.45% of students find it helpful to increase the communication activities between teachers and students and between students in the classroom, and students can gain from the exchange and cooperation.
Design and Implementation of The Computer’S Main Structure with Waterproof and Moisture-Proof Function
Authors: Gong Jianhu
Published: April 2021

In order to prevent the harm caused by high air humidity to the computer, a series of structures, such as exhaust parts, lower shell, support legs, water baffle, filter parts, air inlet parts and waterproof shell, are set in this paper to solve the waterproof and moisture-proof problem of the main structure in the computer hardware system.
Analysis of the Design and Performance of Microcomputer Fault Alarm System
Authors: Gong Jianhu
Published: April 2021

The fault detection and alarm system designed in this paper, which can be used in home, including a series of structures such as fault detector, cooling plate, support plate, controller, voice chip, voice player, alarm lamp, cooling fin, etc, is convenient for users to obtain fault alarm information effectively and carry out maintenance.
Research on Real Scene 3D Modelling Based on Multi-view
Authors: Liu Rui , Yao Liwu , Yan Lei , Li Heping , Liu Xiaolong , Yang Yongwen
Published: April 2021

3D modelling based on multi-view images is a method of taking scene images with digital itemsets, extracting and matching feature points in the images, and solving camera parameters to establish a 3D model. This method has the characteristics of high work efficiency, low cost and high degree of scene restoration, this article uses this method to research and experiment on the 3D modelling process of indoor scenes.
Adaptive Modification of Digital Twin Model of CNC Machine Tools Coordinately Driven by Mechanism Model and Data Model
Authors: Zhao Peng , Sun Beibei
Published: April 2021

The digital twin of CNC machine tools has become one of the important technical means to realize intelligent manufacturing. To reflect the real conditions of the whole life cycle of the machine tools, an adaptive modification method of the digital twin model of CNC machine tools coordinately driven by mechanism model and data model is proposed. Taking the dynamic stiffness of the CNC machine tool as the combined object, firstly the finite element method is used to establish the initial digital twin mechanism model, then the simulation data of the mechanism model is used to generate enough samples to establish a surrogate model to realize the construction of the initial data model. At different stages of the life cycle of CNC machine tools, the minimum deviation between the dynamic response obtained by the simulation of the digital twin model and the measured response is set as the objective function, and intelligent optimization algorithm is adopted to adaptively modify the digital twin model to ensure the consistency between the digital twin model and the physical object. The established digital twin model is used to predict the dynamic performance of CNC machine tools, which lays the foundation for the whole life cycle management decision of CNC machine tools.
Generation of brown gas from a dry cell HHO generator using chemical decomposition reaction
Authors: Sivakumar B , Navakrishnan S , Cibi MR , Senthil R
Published: April 2021

Pollution is a factor that makes humans lives worse; because of this pollution, so much of health hazards are uprising. This article mainly contributes to constructing a dry hydroxy cell generator that generates brown gas, which is usually known as hydroxy gas. The primary catalyst used is lye (NaOH) and caustic potash (KOH), which is to be incorporated with stainless steel and followed by supplying a unidirectional current. The reaction is accelerated since the catalyst offers a proxy pathway to expedite the response. The law of electrolysis of faraday governs this process. To lower the consumption of fossil fuel, which is the primary root cause of pollution. This dissertation provides detailed scrutiny on brown gas generators and its best harvest, which is known to be the highest production volume of HHO gas. This journal deals with how the change in the catalyst, power rating and concentration ratio affects the brown gas production and how NaOH differs from KOH in HHO gas production. The average time taken to produce 1 litre of HHO gas using NaOH is about 53 seconds, whereas it is about 80 seconds for KOH.
Comparative Seismic Analysis of Conical and Pyramidal Frustum Shaped Commercial Building (G+6) at Janakpuri, Delhi
Authors: Sindhu Nachiar S , Anandh S , Kumar Ajit , Puskar Abhinav , Mohammed Fardeen
Published: April 2021

In the modern building construction, the trend of constructing structures that are economical as well as aesthetically appealing is increasing. These structures often employ ideas and architectural features that are diverse from the emblematic conventional structures. The unconventionally shaped building has irregularities in the distribution of mass, stiffness and strength along the height of the building. Conical and pyramidal frustum shaped building are those structures that have remarkable shape and utilizes both inclined and vertical columns. In these structures, the floor area of the plan changes at each specific storey. With the intensification in complexity and innovation of the building construction, earthquake forces have become an imperative factor to be considered while construction of these avantgarde structures. The Indian Standard code IS-1893: 2002 (Part-I) describes the approach for the structures with irregularities considering the varying mass, floor-area ratio and stiffness of the storeys. The objective of the paper is systematic seismic analysis of a conical and pyramidal frustum shaped commercial building(G+6) at Janakpuri, Delhi using STAAD. Pro V8i. The buildings are located in seismic zone IV. The result of the analysis aids to understand and compare the storey drift, storey displacement and stiffness of the structures subjected to earthquake forces.
Comparative study of low NOx and CO2 emission novel biodiesels on direct injection CI Engine
Authors: Kasiraman G.
Published: April 2021

In this experimental study an attempt is made to find out a biodiesel, whose NOx and CO2 emissions are less and encouraging. Vegetable oils namely Babul oil (Acacia Arabica), Tung Oil (Aleurites fordii) and Grape seed oil (vitis vinifera) were transesterified to reduce their viscosity. These biodiesels were studied as fuel in direct injection 3.7 kW, 1500 rpm with electrical resistance loading. Experiments were conducted at constant speed of 1500 rpm at different percentages of full load of the engine. Out of these three, Grape seed oil methyl ester (GSME) has its performance closer to that of diesel fuel followed by Babul Oil Methyl Ester (BOME) and Tung Oil Methyl Ester (TOME). The brake thermal efficiency of GSME is marginally lower than that of Diesel at full load. The CO2 emissions of these biodiesels were 13%, 17% and 29% lower than that of diesel fuel emissions at full load for BOME, GSME and TOME respectively. The NOx emissions of BOME and TOME were lower by 22% and 27% lower than that of diesel fuel. However the smoke emissions are higher than that of pure diesel operation of the engine.
A Comparative Study on Seismic Analysis of Diagrid and Hexagrid Structural Systems
Authors: Sindhu Nachiar S , Anandh S , Mohamed Anas A
Published: April 2021

In this present era of population growth and scarcity of available land made engineers and architects to construct high rise building. Lateral loads are considered as most dominant factor in construction of high-rise building. To improve the efficiency of high-rise building, a new structural systems like diagrid and hexa-grid is introduced in this study. Diagrid structural system is the one which resist lateral load by presence of inclined columns in the periphery of the building. Another structural systems like hexa-grid also introduced in this study. Hexa-grid is the presence of hexagonal truss angulated system in the periphery of the building. Like diagrid, hexa-grid also resists lateral load and vertical load by axial action of diagonal and horizontal components in the periphery of the structure. In diagrid and hexa-grid most of the conventional columns are eliminated. In this paper a regular square floor plan of 48 × 48 m and irregular floor plan like C and L type base plan of diagrid and hexa-grid are studied. All structural steel members are designed as per IS 800:2007. The design earthquake load is computed based on the zone factor and their soil types, importance factor and response reduction factor as per IS: 1893-2016. All models are having same 40 storey height and they are compared based on the parameters like displacement, maximum storey drift, storey shear, maximum base shear and steel consumed are considered in this study.
A Review On Utilization Of Waste Glass In Construction Field
Authors: Gowtham R , Manikanda Prabhu S , Gowtham M , Ramasubramani R
Published: April 2021

The concrete production has a huge demand in aggregate and clay (bricks) source. In the year 2015, 48.3 billion tonnes of aggregates are utilized as construction material globally per year in which 2.2 billion tonnes of aggregates were used in India. To overcome the demand of aggregate glass waste materials can be used as alternate construction material. In the year 2019, 21 billion tonnes of glass waste has been produced in India out of which only 45% is recycled, which shows that there is a need for proper procurement and management of waste glass. This review illustrate about utilization of waste glass in construction material such as blocks. The main aim of the study is to gain knowledge about the mechanical properties and physical properties of the blocks and other products produced with waste glass, to reduce the waste glass in landfill by producing sustainable construction material and to overcome the demand of aggregates and clay.
Amassing of Cold Thermal Energy by Utilizing Phase Shift Material: A Review
Authors: Chandrasekaran P , Sivakumar B
Published: April 2021

Storing of cold energy is a predominant area in the cold thermal energy storage system in which the PCM plays a major role in hosting this energy storage process. This study fetches an encyclopedic review based on the current and erstwhile research in the field of cold energy storage using PCM. This dissertation provides an expansive view of the PCM solidification with the methodology of reducing the sub-cooling with the ramping up of heat flow rate besides of variegated nano-particulate and with protrusions. The effect of the fill volume of PCM in solidification is also delineated and how the size and material of PCM containment plays a role in solidification is also scrutinized and eventually, the application area of PCM cold storage is also explored.
Performance Evaluation of Community Based Solar PV System
Authors: Varun M , Akshai K.N.B. , Manikandan S.
Published: April 2021

Building an energy system for an individual household can require high capital and also the replacement and maintenance of such system can be a tedious work. To reduce such kind of stress on an individual, we propose a small power production system for a community. In doing so we will be able to limit the power dependency on the grid. This kind of system is heavily depended on the Battery as the solar panel that generate the power will be in a central place that belongs to the whole group of people. The batteries of individual household will be charged in the central station and the excess of energy will be sent to the grid. A DC system line is also introduced to reduce the system complexity. The Common Solar panel system consist of the Solar Panel, structure, battery charging station and an inverter with grid synchronization. The above-mentioned solar structure products require maintenance and continuous monitoring, thus reducing the initial capital cost that has to invested by an individual. The individual’s capital investment will mainly revolve around the batteries and the DC system, which means the invested cost is almost halved from owning an independent solar panel system.
Value Added Bioethanol Fuel from Waste Decayed Manilkara Zapota Fruit
Authors: Sathish Kumar R. , Sureshkumar K.
Published: April 2021

In this research work, it was attempted to give value addition to the waste decayed Manilkara Zapota fruit by producing bioethanol from it. Manilkara Zapota fruit wastes were taken as a substrate for the microorganism (Saccharomyces cerevisiae) to grow under a controlled environment in order to facilitate the fermentation process. The temperature of fermentation process was maintained at 37°C with the help of biological oxygen demand incubator for 72 hrs. Once the fermentation process was over the bio-ethanol was extracted by distillation process at the temperature of 72°C. The purity of the produced ethanol was identified using infrared spectroscopy and gas chromatography mass spectrometry. The physicochemical properties such as density, pH, molecular weight, octane number, flash point, freezing point and autoignition temperature were measured. The yield of bio-ethanol from decayed Manilkara Zapota fruits was found to be 10.45% (w/v). The GC-MS results infer that the purity of ethanol obtained in the sample is 99.09%.
Simultaneous reduction of nitric oxide and smoke emissions in a jatropha biodiesel fuelled CI engine with water emulsion
Authors: Rajasekar V , Prabhu C , Prakash T
Published: April 2021

Aiming towards mitigating the pervasive effect of the fossil fuel and its environmental pollution crisis, the present work aims to decrease nitric oxide and smoke emissions simultaneously using water emulsion in a jatropha oil methyl ester (JOME) fuelled compression ignition (CI) engine. Biodiesel derived from biomass is the viable alternate fuel due to its availability and renewable nature. JOME is derived from jatropha oil through tranesterification process and emulsified with water in the ratio of 5%, 10% and 15%. Tests were carried out in a one cylinder, liquid cooled, direct injection (DI) engine delivering 5.2 kW at full load. Results indicate a significant reduction in NO and smoke release with water emulsion at all loads. With JOME85+W15, NO emission decreases by 21.1% and 23.9% compred to diesel and JOME respectively at maximum load. with JOME85+W15, smoke emission decreases by 15.8% and 5.5% compred to diesel and JOME respectively at maximum load. However increasing the quantity of water in the emulsion decreases the brake thermal efficiency (BTE), in-cylinder pressure and net heat release rate (NHR).
Analysis of various NACA airfoil and fabrication of wind tunnel to test the scaled-down model of an airfoil
Authors: Krishna M , Thanigaivelan V , Silkson john J , Joshua A
Published: April 2021

Airfoil design is a major facet of aerodynamics. Various airfoils serve different flight regimes. Asymmetric aero foils can generate lift at zero angle of attack, while a symmetric aero foils exhibit no lift at the same case. The design of the Airfoil has a great influence in the lift provided to an aircraft and the thrust required to make the lift take place. The geometry design of the airfoil is carried through Design Modeler. The analysis work of the airfoil is carried using Ansys Fluent. The coefficient of lift and drag are calculated through constant density throughout the section.
Analysis of Aerodynamic Hysteresis in Echelon formation
Authors: Gunasekaran M. , Mukherjee Rinku
Published: April 2021

This work is based on the vortex lattice method using a “decambering” approach, which accounts for flow separation and makes the separated flow to follow viscous flow condition at high angles of attack over the airfoil and 3D wings. This method used to study the aerodynamic hysteresis of two wings configuration at near stall and post-stall flow conditions. The hysteresis of different data and their effect have been studied. The effect of shifting stall due to presence of hysteresis for forward and backward flow regimes also has been reported.
The Effect of Nucleation on DI-Water Based Phase Change Material for Cool Thermal Energy Storage
Authors: Sundaram P. , Harisudhan T. , Pavithran K.
Published: April 2021

This report addresses the study on nucleating effects of DI – water based phase change material by adding salt hydrate like a Sodium chloride, Magnesium chloride and Calcium chloride. DI-water is selected as base PCM in which nucleating agents are added in concentration of 0.3, 0.6 and 0.9 Wt.% to study the solidification characteristics of the PCM. The samples are prepared with the help of magnetic stirring and ultra-sonification process which ensures that the nucleating agents are completely dissolved in the base PCM. An experimental trail is carried out with surrounding heat transfer fluid temperature of -7°C and the solidification history is generated for all PCM samples. From the observation it can be concluded that NaCl 0.9 Wt.%, MgCl2 0.6 Wt.% and CaCl2 0.6 Wt.% shows a significant reduction of supercooling degree. Only NaCl of 0.9 Wt.% shows a reduction of 91.32% in supercooling degree with least increase of 6.73% in solidification time. Thus, Phase change materials proves to be effective in eliminating the discrepancy between demand and supply during peak hour by storing energy during non-peak hours and retrieving when demanded. Thus, it can be used to reduce power consumption during peak hour’s demand and reduce the effects on environment.
Effect of Kerosene and Methanol Blending with Pongamia Pinnata Biodiesel on Diesel Engine Performance and Emission Characteristics
Authors: Kumar R. Sathish , Rajaraman R. , Nadanakumar V. , Paul R. Christu , Ganesan S. , Sathyamurthy Ravishankar
Published: April 2021

In this present work, a novel blend of biodiesel is used to investigate the performance and emission characteristics of an unmodified diesel engine. Pongamia Pinnata is used to extract oil and transesterification process is done to reduce its viscosity. Different fuel blends were prepared using biodiesel which includes D20 blend with diesel, K20 blend with Kerosene and M20 blend with Methanol, the fuel prepared were used in the engine to analyse the performance and emission characteristics of the engine. The results were compared with the standard fuel mineral diesel. A considerable increase in brake thermal efficiency is observed for D20 blend. The blend K20 shows considerable improvement in the performance as well as reduction in the emission when compared to all other fuels.
The state of art review on thermal management techniques for the thermoelectric cooler
Authors: Krishna N. Vijay , Manikandan S. , Selvam C.
Published: April 2021

The usage of renewable energy sources and reducing the usage of fossil fuels are important to improve the quality of life and environment. Thermoelectric devices are direct energy conversion devices, which can be used for power generation, heat and cooling applications. Thermoelectric devices can be integrated with solar thermal systems, solar photovoltaic systems and waste heat recovery systems etc. to produce electrical energy and cooling effect. This article presents the state of art review on the thermal management techniques for thermoelectric cooler. The thermal management on TEC will improve the thermal performance of cooling power and Coefficient of performance.
A Study on flow boiling characteristics in a minichannel and conventional channel
Authors: Jeyaraj Thavamani , Pankaj Kumar
Published: April 2021

The flow boiling characteristics of minichannel and conventional have been evaluated for the various mass flux and heat flux. The impact of channels heat transfer analysis was carried out by mixture model (MM) of ANSYS Fluent by using water as a working fluid. The aim of this paper to find the better heat transfer in the channels at a different range of mass flow rates (0.020kg/s to 0.040 kg/s) and heat fluxes (1000 W/m2 to 2000W/m2). The analysis was explained with help of output parameters like vapour fraction, heat transfer coefficient, evaporative thin film thickness, temperature difference in channel wall side and film water temperature side, Nusselt number and friction factor. The validation was done with the help of the previous paper. It was observed that friction factor is calculated for various mass flow rate in channels, is lower from smaller diameter pipe but heat transfer is more for the case of bigger diameter. The minimum mass flow rate increases the wall surface temperature as well as high heat flux increase the channel wall temperature. The 4 mm conventional channel is better heat transfer rate compared to 3 mm minichannel.
Experimental Investigations On Mechanical And Durability Properties Of Blended Concrete
Authors: Rama Krishna N. , Srinivasa Rao A. , Sasidhar C.
Published: April 2021

Concrete is extensively used as a building material due to its low cost and versatility. We are expecting better results in the current construction scenario in a short time and to finish the work fast. So instead of using ordinary Portland cement here we use specially graded cement OPC 53-S cement which not only gives early age strength but also resists durability in addition to controlling the pollution emitted by cement manufacturing, we use GGBS as cementitious material which is a waste product from steel and iron manufacturing. Since GGBS setting time is slow, the OPC 53-S cement is used to compensate it. This project aims to know the mechanical properties such as compressive strength, size effect, flexural strength, splitting tensile strength and durability properties of concrete such as Sorpitivity, water absorption and carbonation by replacing GGBS in cement at different percentage (0%, 10%, 20%, 30%, 40%, 50%) levels by testing at different (3,7,14,28,56 and 90 days) age of concrete. And to know the micro structural and crystalline properties of (7 and 28 days) age of concrete by means of X-ray diffraction test.
Understanding Short Text Through Lexical Semantic Analysis
Authors: Shobana J. , Amutha S. , Murali M.
Published: April 2021

Information of quick texts is crucial for many packages however there are many demanding situations. First, the fast texts do not constantly look at a written language’s syntax. As a end result, traditional natural language processing gear cannot be without problems applied, ranging from element-of-talk tagging to dependency parsing. second, brief texts usually do now not incorporate sufficient statistical signals to help a few of the state of play Thirdly, short texts are greater ambiguous land noisier, land are generated in a big quantity, which further will increase the problem of coping with them. We argue that semantic knowledge is important for better understanding of brief texts. on this paintings, we build a prototype gadget for short text expertise that takes advantage of semantic expertise furnished by using a famous know-how base and harvests it automatically Our methods for responsibilities which includes text segmentation, component-of-speech tagging, and idea labeling, inside the feel that during these kind of duties we awareness on semantic. We perform a complete evaluation of the overall performance on actual-existence facts. The outcomes display that semantic information is critical for the understanding of quick texts and our information-intensive technique.
Role of non metallic Nano additive in the behavior of a diesel engine fueled with blends of Waste plastic oil
Authors: Sachuthananthan B. , Vinoth R. , Reddy D. Raghurami , Reddy K. Harshavardhan
Published: April 2021

This study analyze about the efficiency improvement and emission reduction of a 4 stroke mono cylinder diesel engine fueled by 20 % by volume mixture of Waste Plastic Oil (WPO) blended with 80 % diesel and different proportion of non metallic nano additive. WPO was extracted through the pyrolysis process using plastic wastes collected from near by areas. Nano additives made from rice husk was blended @ 25ppm, 50ppm, 75ppm and 100ppm. The fuel mixture was tested for its stability and later used in diesel engine for performance, emission and combustion characters. Result indicate that for W20 mixture without additives revealed 3.5 % drop in brake thermal efficiency (BTE) and Brake specific fuel consumption (BSFC) increased by 5.7 % at a full load condition when equated with diesel. With the blending of Non metallic Nano additives (NA), the BTE increased by 2.6 % and fuel consumption reduces by 3.1% for the W20NA75 blend when compared to other blends. Emissions parameters like hydrocarbon (HC), carbonmonoxide (CO) and smoke opacity reduced by 15.3%, 7%, and 20.4% respectively with rise in oxides of nitrogen (NOx) emission by 14.1% when equated to diesel at maximum load condition. It can be concluded that 75ppm rice husk nanoparticles added with W20 blend helped to rise the efficiency characters and reduces engine out pollutants of a CI engine.
A Review on Performance Enhancement of Solar Drying Systems
Authors: Sudhakar P
Published: April 2021

Solar thermal technology is emerging as a promising alternative in fulfilling the global energy requirement. Solar dryers, utilising the power of solar energy, are rapidly gaining global acceptance in the drying of agricultural products as a potential substitute for natural and fossil fuels. Fluctuation and non-availability of solar irradiation is the major challenge faced by solar dryers. This setback can be alleviated by capturing the sun’s energy during peak radiation time and later using it during inadequate radiation times or during night times. Solar dryers with thermal energy storage systems offer optimum steady state temperature (45 - 75°C) for drying of agricultural produces. Besides exhibiting reduced drying rate, these storage units extend the drying time of the solar dryer system during late evening hours. As PCM plays a vital role in enhancing the performance of solar drying systems, this paper attempts to present a summary of investigations of solar drying systems integrated with phase changing materials as latent heat storage for drying of agricultural products.
Transient Convective Heating Transport of the Micropolar Fluid Flow Between Asymmetric Channel with Activation Energy
Authors: Prakash D. , Saraswathy M. , Kumar Santosh
Published: April 2021

Here modelling and computations are presented to introduce the concept of activation energy involved in the micropolar fluid between the porous vertical channel with the boundary conditions of third kind. The fluid is considered to be gray, absorbing-emitting but non scattering medium. The resulting system of equations are solved numerically by Crank-Nicolson implicit finite difference method. The effect of various physical parameter such as activation energy, micropolar parameter, reaction rate, Reynolds number, Schmidt number, heat and mass transfer Biot numbers on the velocity, temperature and concentration field are discussed by means of pictorial representation.