New Approaches in Engineering Research Vol. 14最新文献

{"title":"Design and Optimization of Control Arm in a Solar Car Using QFD","authors":"Mehdi Moayyedian, Ali Dinc, Ali Alsarraf, Walid Hamouda, Abdolmohsen Almutairi, Abdulaziz Bushehri, Ahmad Deehani","doi":"10.9734/bpi/naer/v14/4374f","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/4374f","url":null,"abstract":"","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123510344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Azimuth-only Estimation of Target Course Using Trigonometric Function Directly","authors":"Tao Yu","doi":"10.9734/bpi/naer/v14/1912c","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/1912c","url":null,"abstract":"The problem of azimuth-only calculation of target course angle with a single station is studied independent of time parameter. On a two-dimensional plane, for a uniform moving target in a straight line, if a stationary single station is assumed to be able to obtain the azimuth information of the target three times in a row with equal spacing in the moving path of the target, then the analytic expression of the course angle of the target can be obtained in a simple mathematical form by directly using trigonometric functions. The error analysis shows that the measuring accuracy of target course angle based on trigonometric function method is suitable for engineering application.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127100159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term Load Forecasting Using Method of Multiple Linear Regression","authors":"B. Dhaval, A. Deshpande","doi":"10.9734/bpi/naer/v14/13047d","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/13047d","url":null,"abstract":"In this study, we use Multiple Linear Regression to forecast short-term load. This study obtains a day-ahead load forecasting. The regression coefficients were calculated using the Least Squares estimation method. Load forecasting has an effective role in economic operation of power utilities.  In an electrical power system, load is affected by temperature, due point, and seasons, as well as previous load consumption (historical data) [1].Temperature, Due point, prior day's load, hours, and prior week's load are the input variables.  The mean absolute percentage error is used to validate the model or assess its accuracy, and R squared is checked [2-5], which is shown in the results section. A weekly prediction is also obtained using day-ahead projected data.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114655204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on Assimilation of Architecture in Fashion Wear","authors":"S. Baruah, N. Patil","doi":"10.9734/bpi/naer/v14/4444f","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/4444f","url":null,"abstract":"Creativity in the field of fashion is known to draw inspiration from many unusual sources. One such source happens to be architectural styles of buildings that strive to preserve the cultural heritage of an entire civilization. The styles might not only inspire simple motifs and silhouette types, but also weave a story that will eventually find its way into more intricate forms of human clothing. Therefore, this paper will lead us to first understand the inner anatomy of a piece of architecture. Later, the paper will help us identify the finer elemental artifacts that can be retrieved and assembled into an exotic fashion creation. The final objective is to establish the hidden relationships, influences, similarities, and differences between the fields of architecture and fashion design. Within India, the great monuments whose architectures are waiting to be exploited for fashion ideas include the Golden Temple, Charminar, Meenakshi, Temple, and Hampi. This study reveals that many fashion designers have been inspired by intricate elements of architecture.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124957335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Slot Loaded Capacitive Fed Suspended RMSA with Meandered Ground Plane: A Recent Study","authors":"N. Ammanagi, R. Yadahalli","doi":"10.9734/bpi/naer/v14/3758f","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/3758f","url":null,"abstract":"Variations in capacitive fed suspended RMSA systems are proposed in this research. Initially, the reference antenna consists of a rectangle patch measuring 35.5 X 45.6 mm2 and a small rectangular feed patch measuring (1.4 X 4) mm2 both of which are suspended above the ground plane on the same substrate. Probe feed or coaxial feed is popular and widely used in MSA as it can feed the patch at any arbitrary position without much difficulty. The small patch is fed with a coaxial probe, which electromagnetically excites the radiator patch, resulting in a large impedance bandwidth (BW) of 39 percent, strong gain and a broadside radiation pattern. The prototype antenna was created by meandering the ground plane of the reference antenna with three rectangular slots, and measurements were taken to validate the outcome for compact broadband response. The prototype antenna was then created by loading a pair of rectangular slots in the radiating patch of the reference antenna in addition to the rectangular slots in the ground plane, and measurements were taken to validate the result for compact dual band response.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125024558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the Assessment of Indices of Building Project Quality Control Checklist in the South-Eastern States of Nigeria","authors":"Opara Hyginus Emeka","doi":"10.9734/bpi/naer/v14/4154f","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/4154f","url":null,"abstract":"The quality of buildings, especially those executed by indigenous construction firms and professionals in Nigeria cannot be measurable with those of developed countries, or even those of other countries in the West African sub-region such as Benin Republic, Togo and Ghana. This ugly situation has been attributed to many factors, ranging from the dearth of skilled tradesmen, non-existence of national quality standards and code of practice and ineffective government regularity policies to mention a few. It is against this background that this study was undertaken to ascertain the level of compliance with existing quality management standards in public building projects in the South-Eastern States of Nigeria in accordance with NIOB/NBC quality checklist. The construction methodology, project quality management plan, and project health and safety plan are all factors that influence the quality of a structure. A checklist document that guides on workmanship, construction materials, inspection, material sampling, and testing is crucial to the success of the quality management strategy. The checklist document contains 62 variables that were regarded important factors.Subsurface, timber, formwork, concrete work, steel reinforcement, block work, rendering, and roofing were the eight sub-headings for the 62 variables. The evaluation was done on a 5-point Likert scale, and the results were analysed using the weighted average mean index (Iimp), which ranged from -2 to 2. With a mean score of 1.5752, the subsurface sub-sector came in first, followed by the roofing sub-sector.With a mean score of 1.3297, blockwork comes in last, followed by the rendering sub-sector with a mean score of 1.3492. 730 people answered to the 900 structured questionnaires that were distributed, representing an 81.1 percent response rate. Quality control checklists and approved systems for construction project monitoring should be provided by building professional groups and all levels of government regulatory agencies.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129515328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Learning-rate Optimization Technique for Object Detection Accuracy Enhancement","authors":"C. Anusha, P. S. Avadhani","doi":"10.9734/bpi/naer/v14/5658d","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/5658d","url":null,"abstract":"Recently, Deep Learning [1] models are used primarily in Object Detection algorithms because of their specific capability for Image Recognition. These models identify items present in input images and videos [2] by extracting features from them. These models have a variety of applications, which include Image Processing, Video analysis, Speech Recognition, Biomedical Image Analysis, Biometric Recognition, Iris Recognition, National Security applications, Cyber Security, Natural Language Processing [3], Weather Forecasting applications, Renewable Energy Generation Scheduling etc. The Convolution Neural Network (CNN) [3], which comprises many artificial neuron layers, is employed for these models. The accuracy of Deep Learning models is determined by a number of factors, including the learning rate, the training batch size, the validation batch size, the activation function, and the drop-out rate. Hyper-Parameters are the name for these parameters. The accuracy of Object Detection depends on the choice of Hyper-Parameters. It is therefore a difficult task to find the best values for these parameters. Fine-Tuning is a method for selecting an effective Hyper-Parameter for improving Object Detection precision. \u0000Selecting an inaccurate Hyper-Parameter value, leads to Over-Fitting or Under-Fitting of data. Over-Fitting is a problem, when training data is greater than the necessary, leading to learning noise and inaccurate Object Detection [4]. Under-Fitting occurs when a model is unable to capture the data's trend, resulting in more erroneous testing or training outcomes. \u0000By changing the ‘Learning rate' of various Deep Learning Models, a balance between Over-Fitting and Under-Fitting is reached in this article. For experimentation purpose, this paper considers four Deep Learning Models such as VGG-16, VGG-19, InceptionV3 and Xception. In terms of maximal Object Detection accuracy, the best zone of Learning-rate for each model is analyzed.  The prediction accuracy of a dataset of 70 object classes is investigated in this study by adjusting the ‘Learning-Rate' while keeping the rest of the Hyper-Parameters fixed.This article focuses on the impact of ‘Learning-Rate' on accuracy in Object Detection and identifies an ideal accuracy zone.  This analysis helps in reduction of computational effort in calculation of Objection Detection Accuracy.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134276817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Amorphous Iron Formation by Discontinuous Rubbing","authors":"H. Furuichi","doi":"10.9734/bpi/naer/v14/6605d","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/6605d","url":null,"abstract":"A unidirectional dry rubbing in a low vacuum, regularly separating (alpha)-iron slider from (alpha)-iron specimen generated a layer of piled-up adhered wear debris whose thickness was more than 100 (mu)m. TEM diffraction patterns taken from this layer consist of large spots and halo rings. This seems to demonstrate the state just before the perfect amorphization. All the rings and spots correspond to the structure formed due to the occupancy of iron atoms in O and T sites of (varepsilon)-iron. Neither this way of amorphization nor the occupied structure mentioned above has been reported. Both the amorphous state and the occupied structure remain at ambient conditions. The mechanism of high-pressure generation that transformed (alpha)-iron to (varepsilon)-iron is presented.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133524881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phase-Locked Loop Controller for Three-Phase Unified Power Quality Conditioner for Non-linear and Voltage Sensitive Loads","authors":"S. Gomathy, Tony George, P. Anitha, S. Subiramoniyan, Jeno Paul","doi":"10.9734/bpi/naer/v14/1865c","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/1865c","url":null,"abstract":"In this study, a new efficient control system for a unified power quality conditioner is developed, which can reduce voltage variations such as sag and swell conditions, as well as current and voltage harmonic isolation in distribution systems.  The suggested control approach is utilised to model and simulate the UPQC that can be used at the PCC to improve power quality, and the results are compared by applying it to a distribution system that has and does not have UPQC. UPQC can be installed to protect the sensitive load inside the plant as well as to restrict entry of any distortion on the load side. The UPQC's performance was assessed using a typical industrial load and realistic characteristics supplied by a polluted distribution network. In the MATLAB/SIMULINK environment, a dynamic model of the UPQC is created, and simulation results proving system power quality improvement are provided for various supply and load circumstances.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114178240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolutionary Ann Design Using Improved Selection Method","authors":"G. Sagar, M. Sathyanarayana","doi":"10.9734/bpi/naer/v14/12848d","DOIUrl":"https://doi.org/10.9734/bpi/naer/v14/12848d","url":null,"abstract":"Study Objective: The important issue in Evolutionary Algorithms (EAs), is time-complexity analysis. \u0000Here, 1. To consider the concept of take-overtime to obtain the mean hitting time of EA. i.e.  the concept of the takeover time is generalized rather than a selection of operator alone. \u0000 \u0000This generalization is applied to benchmark problems like N-Bit parity. For various input sizes N, the time complexity in terms of number of generations is estimated. \u0000To develop an empirical model is also generated for proposed EA using statistical tool. \u0000To apply the proper selection method to find the take-overtime.","PeriodicalId":262600,"journal":{"name":"New Approaches in Engineering Research Vol. 14","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128515624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}