-74813b3e17f460286df-4a9a 20220415002250653 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 05 30 2020 9 7 ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India. M. Maneesha* V. Sai Tejaswi ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India. N. Ramya ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India. This paper reports on stress and displacement of the resonator’s nodes. The search of the resonator’s frequency is examined by using Lithium niobate (LiNbO3) as the resonator’s major component material. By using the lithium niobate as a major component it makes a partial changes in stress and displacement of a resonator. The theoretical details of stress and displacement are given for respective eigen frequency. The line graph for the stress and displacement on the X and Y axis is examined by using the comsol software. The design of resonator by using the software makes easy to rectify the technical errors, before going to create a hardware product. For example the acoustic resonator’s are used to reduce the noise in the automobile industries with the use of muffler. The resonator used for reducing the noise can be designed initially with the software such that the design clarity will be noticed. This report based on resonator design using lithium niobate(LiNbO3), other then lithium niobate materials like silicon can also be used but in this project lithium niobate is used as the major component because it is prepared by using lithium(Li), niobium(Nb), oxygen(O2) which is not directly present in nature. 05 30 2020 221 223 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7634.059720 https://www.ijitee.org/portfolio-item/B7634129219/ Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India. Muhammed Anaz Khan* A Vivek Anand Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. Lokasani Bhanuprakash Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India. Nowadays, due to economic considerations, stainless steel is frequently used in dissimilar welds configurations– alloyed steel, carbon steel, copper, titanium. Current research in laser welding aims at joining a large category of structurally dissimilar materials, like copper, stainless steel or aluminum components. The weld quality of 10mm thick stainless steel grades of 316 and 321 laser welded in butt configuration is studied. SS321 is well known for its corrosion resistance property especially dissimilar metal corrosion ie., galvanic corrosion. SS316 provides high strength to weight ratio even at high temperature which makes its as a potential candidate for aerospace application. The joint quality is characterized in terms of hardness, microstructure and inspected using NDT. Scanning Electron Microscope and Optical Microscope were used to study the microstructure of welded specimen. The microhardness test is conducted on the weld joints to quantify the effect of weld parameters in mechanical strength of the joints. Radiography test was conducted to identify the defects in the specimen. 05 30 2020 1319 1322 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8216.059720 https://www.ijitee.org/portfolio-item/C8216019320/ Research Scholar, Department of Instrument Technology, Andhra University, VSP, India. K Suresh* M. Ramesh Patnaik Associate Professor , Department of Instrument Technology, Andhra University, VSP, India. Deterministic and Synchronous multi-channel extension (DSME) is introduced to improve the network performance by providing dedicated slots. Thus, the network is divided into various slots to access the channel in the dedicated slots allocated to them. However, choosing the DSME slots is one of the major challenging tasks. In this article, we use fuzzy logic to estimate the optimum count of DSME slot per super frame by considering network size, collision probability, and modulation and coding schemes. Further, we analytically evaluate the collision probability, throughput, energy consumption and delay of DSME mechanism. Results show that the optimal number of DSME slots found using fuzzy logic significantly enhances the throughput and decreases the energy consumption. Finally, extensive simulations are conducted using ns-3 to validate the analytical results. 05 30 2020 467 471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9125.059720 https://www.ijitee.org/portfolio-item/C9125019320/ Associate Professor, Department of Civil Engineering, Government College of Engineering, Thanjavur, Tamilnadu, India. Kavimani. T* Dr. K. Balaji Associate professor, Department of Civil Engineering, University College of Engineering, Anna university, Panruti, Tamilnadu, India. Sugar mill is one among the foremost industries that discharge the effluent in immense amount causes grim effects on soil and ground water which in turn creates serious environmental issues. This study investigates the reactor interpretation and performance of treating real sugar industry effluent. The system was protected with seed sludge from the obtained anaerobic treatment process unit managing sago effluent followed by it is started using synthetic sago wastewater, then it is fed with real sugar industry wastewater. The reactor is fed with the industrial effluent having the Chemical Oxygen Demand (COD) of 4560 to 4880 mg/L with Hydraulic Retention Time (HRT) of 24 hours. The various parameters such as pH, % COD removal Efficiency, Volatile Fatty Acid (VFA), Alkalinity and Bio-gas production are measured. 05 30 2020 1 4 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1123.059720 https://www.ijitee.org/portfolio-item/D1123029420/ Assistant Professor, Department of Mathematics ,K. N. Govt Arts College for women, Thanjavur, Tamilnadu, India. Dr. T. Geetha* Ms. A. Usha Assistant Professor, Department of Mathematics , PRIST Deemed to be University, Thanjavur, Tamilnadu, India. The object of this paper is design a triangular AIFM for thyroid disease diagnosis, by making use of the notion of triangular AIFMs. Further, we extended our approach in the sector of addition and multiplication factors of triangular AIFMsbased on membership and non-membership function. In this work Elevated fever, headache, fatigue, eye pain, swollen are taken as important parameters of thyroid disease diagnosis. Finally, we presented a decision making problem based on one of the operation of triangular AIFMs. 05 30 2020 333 335 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1500.059720 https://www.ijitee.org/portfolio-item/D1500029420/ SRM Institute of Science and Technology Siddhartha Dhar Choudhury* Kunal Mehrotra SRM Institute of Science and Technology D Vanusha SRM Institute of Science and Technology Today some of the most intriguing challenges posed in the field of AI, is the lack of computational resources required to train the deep learning models, especially the image related problems. These Image modelling problems are solved by training a Convolutional Neural Network (CNN) which is computationally expensive process. Our aim is to extract the features of the images by training on these vector embeddings locally and then deploying it in the server for easy access to the researchers. The proposed system provides high dimensional vectors that capture dense features of objects. Pre-trained word embedding is a common way of representing words in a vocabulary present in a document. These embeddings have the capability to capture the context of a particular word in a sentence or an entire document, in relation with words other than the one under review. A popular algorithm for training these word embeddings is skip-gram model proposed in Word2Vec architecture.By using these trained vector embeddings of popular image models, researchers can download them and apply it to their use case which will reduce their training time by a thousand fold. Our aim is to make it so simple for the user that he can train it on edge devices like raspberry pi, jetson nano, these pre-trained vectors image models of high accuracy can be trained on even mobile phone processor. 05 30 2020 1002 1007 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E1999.059720 https://www.ijitee.org/portfolio-item/E1999039520/ M.Tech student, Department of Mechanical EngineeringSri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India Penumaka Dhananandh* Dr.Venkata Ramesh Mamilla Professor & Head, Department of Mechanical EngineeringSri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India. K.Sri Rama Murthy Sr.Assistant Professor, Department of Mechanical EngineeringSri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India. The demands for automotive interior and exterior panels in present and future request is an optimal combination of materials and cost-efficient production processes. Mechanical andacoustical requirementsof high strength and a weight target result, todayoften in the selection of a sandwich design with a cost efficient and recyclable core material. Honey comb sandwich structures are used in Airplane wings, Ships, Cars, Civil Constructions, etc. Now a days this technology is being used all-over the automotive fields. These designs are the best way for low material usage and high strength. In this project the designs of hexagonal and octagonal honey comb structures are to be analysed and compared for the best result in structure. The structures are to be developed by using SolidWorks[1] software. Solidworks flow simulation is to be used to test the effectiveness and limitations of the structures. Thermal and static analysis are to be analysed by using solidworks simulation software with different types of materials like Titanium, Aluminum, and Stainless steelto identify the best material at low cost and high efficient by applying various loads of finite element method analysis. 05 30 2020 669 677 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2254.059720 https://www.ijitee.org/portfolio-item/E2254039520/ Architect and Teaches at Covenant University, Ota Nigeria. Emokpae M.Erebor* Professor Eziyi O. Ibem Architecture, University of Nigeria, Enugu Campus, Enugu Nigeria Dr Isidore C.Ezema Architecture, Covenant University, Ota, Nigeria. Ajagba P.Benson Student, Department of Architecture,Covenant University Ota Ogun State. Interior design is on the one hand a multi-faceted profession in which creative and technical solutions are applied within a structure to achieve a built environment or improve a learning space. An architectural design studio on the other hand is a classroom space in the undergraduate or graduate professional class where students receive hands-on instructions on architectural design. However, the interior design features of architectural design studios and the implication of these for students’ academic performance has not been clearly articulated in the research literature. Therefore, the aim of this research was to investigate the interior design elements of architectural design studios and its implication for students’ academic performance. This is with a view to suggesting how the interior spaces of architectural design studios can be man manipulated to enhance students’ academic performance. To achieve this goal, three private Universities in South West Nigeria were studied using the data collected from 200 undergraduate and post graduate students. The data were analyzed using descriptive statistics and the results revealed that most of the students were satisfied with the interior design of their architectural studio spaces. It was further observed that students were not aware of the conduciveness and wellness of their studios, hence more work needs to be done on the general interior design to ascertain the wellness of the studios. The design studio being a sole environment where both theoretical and practical learning and work is carried out should be made comfortable for the users of the space. There is a fact that people work better in places that they feel comfortable in. Personal space has a direct impact on learning, and designers must take this into consideration when designing Architectural design studios. 05 30 2020 929 934 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2437.059720 https://www.ijitee.org/portfolio-item/E2437039520/ SRM Institute of Science and Technology Rushil Gupta* Shashank Pandey SRM Institute of Science and Technology D Vanusha SRM Institute of Science and Technology The proposed system uses deep neural networks for identifying bird species. The model will be trained on bird images that are coming in the endangered species category. The application can also handle new data points, unlike existing systems that require model re-training for accommodating new data. The system can identify bird species in a large view of the image. The model will be trained using a convolutional neural network-based architecture called Siamese Network. This network is also called one-shot learning which means that it requires only few training example for each class. Existing models use image processing techniques or vanilla convolutional neural networks for classifying bird images. These models cannot accommodate new images and have to be retrained to do so. There is no commercially available system that can detect a species of bird in high resolution / large image. While in the Siamese network we only have to add new data, there is no need to retraining the neural network. 05 30 2020 1168 1171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2468.059720 https://www.ijitee.org/portfolio-item/E2468039520/ Army Public College of Management & Sciences, Rawalpindi, Pakistan. Muhammad Sajid Khane* Andrew Ware University of South Wales, United Kingdom. Abdullah Khan Army Public College of Management & Sciences, Rawalpindi, Pakistan. Face acknowledgement is a biometric framework used to recognize or check an individual’s identity against a dataset of images. In recent times, there have been several different approaches utilized to try to achieve high accuracy rates. This paper presents a system that enables an individual’s identity to be determined based on a matching of their facial structure against a previously stored database. The matching compares the frontal view of the face with the two-dimensional images of the head already stored. In our system, the input image is sometimes enhanced using histogram equalization, before the matching takes place using the Euclidean distance between the face to be identified and those already stored. The developed acknowledgement system provides an accuracy of 97.5%. 05 30 2020 1196 1200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2861.059720 https://www.ijitee.org/portfolio-item/E2861039520/ Department of Computer Science, SMVHD Central Institute of Home Science, Bengaluru, India. Nagamani HS* Dr.Saroja Devi H. Department of Computer Science & Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, India. Agriculture forms the main source of food in India, especially in the southern area. The economy of India directly depends on agriculture plants. But due to some major diseases such as blast, brown spot, and bacterial blight, there is a reduction in plant growth which greatly affects agricultural productivity. The farmers add irrelevant pesticides with their limited knowledge which will degrade the quality of the crop but also degrade the soil quality. In the proposed method Machine Vision techniques based on neural networks are used to detect plant health or diseases indicated by leaf anomaly. Image processing algorithms such as K means clustering is used to segment affected areas. From the segmented images of the plant leaf, features are extracted using Color Coherence Vector (CCV) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS). The extracted features are fed as input to a backpropagation neural network to classify the unhealthy leaf. 05 30 2020 175 180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2864.059720 https://www.ijitee.org/portfolio-item/E2864039520/ Department of Computer Science & Engineering, Glocal University Saharanpur, UP, India. Manzoor Ahmad Lone* Dr Mohammad Mazhar Afzal HOD Department of Computer Science & Engineering, Glocal University Saharanpur, UP, India. A MANET is a distributed infrastructure-less network and in major cases it is concerned about the individual level of security solutions, since the MANET is a kind of decentralized type of network and to implement the centralized security control on it will not be an efficient way to secure the MANET networks though it will be the wastage of time and resources as well. When there is no centralized security in any network it always becomes vulnerable for the different attacks and can provide any way for the attacker to intrude into the Network or in the particular device. MANET is designed using the number of other small portable devices, although this system does not use any router, so that the centralized security could have work to protect the same network. But in this Network there is no router only the single Portable device is responsible for the attacks. It is really very hard and complicated to maintain this kind of network where it is defined that each end device will provide the security on its own, since there are the number of challenges when the security is concerned. In this paper we give the overview of the security in MANET and in case if there is any attack how the Network can be protected with theuse of the different security and protection technique. Attackers are always updated with the new and efficient ways how any network can be breached and thus it makes them intelligent to attack on any network. No matter security, engineers are always working to check the loopholes in their own system and trying to protect their networks butthe hackers to attack the network are inventing number of ways. When any network is being attacked by the attackers, the important data can be compromised. Data is very important asset for any industry and when the same valuable data is breached this can lead any organisation into serious issues. MANET does not use the strong centralized security system but there are always the best possible solutions which can be used to make sure that MANET can be used to make sure that of the attacker try to attack this Network he will find it much complicated to attack and intrude into the network hence will lead the attacker for the unsuccessful attack. This is very important to keep in consideration that before using any model of the network the security of the network should always keep in priority because more the secure Network is more efficient it will be. 05 30 2020 1351 1353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2905.059720 https://www.ijitee.org/portfolio-item/E2905039520/