Journal of Brilliant Engineering (BEN)

ORHAN DOĞAN Nassirou BANDE Yunus GENÇ Fatih Çağatay AKYÖN Ramazan TANÇ

With the rapid development in the construction sector in recent years, housing sales, which is one of the economic investments, have accelerated, making an objective valuation difficult and making it impossible to predict the real price due to the fact that there are too many parameters in the valuation stage and there is no definite formula. In addition, in real estate appraisal processes, the use of artificial neural networks (ANN), which is one of the artificial intelligence methods, has made it attractive to perform and adapt machine learning using examples, to provide information about unprecedented examples, to work fast and easy to identify, to provides solutions to complex problems, to work with little information. In this study, ANN models were created by rearranging the quantification values in an existing study by creating ANN models with 14 parameters that are effective in determining the fair value of a total of 220 houses for sale advertised on an e-commerce site in different neighborhoods of Yenimahalle district of Ankara/Turkey, and it was observed that with the use of rearranged quantification values, the ANN architecture selected with mean square error (MSE) 0.000016, regression (R) 95.99% and accuracy rate 91.73% gave more successful results in predicting the house price.

https://doi.org/10.36937/ben.2023.4768

Serdar Kürşat Sarıkoz M. Ali AKCAYOL

In the last 20 years, e-mail, instant messaging, documents, blogs, news, text communication in the transfer of information over the web, as a result of the presentation and transmission of information as a result of the Web the dramatic increase in the amount of data in digital environments has increased the importance of studies in the field of knowledge extraction from unstructured data. Since the 2000s, one of the primary goals of researchers in the field of artificial intelligence has been to extract knowledge from heterogeneous data sources on the World Wide Web, including real-life entities and semantic relationships between entities, and to display them in machine-readable format. Advances in natural language processing and information extraction have increased the importance of large-scale knowledge bases in complex applications, resulting in scalable information extraction from semi-structured and unstructured heterogeneous data sources on the Web, and the detection of entities and relationships; It enabled the automatic creation of prominent knowledge bases in this field such as DbPedia, YAGO, NELL, Freebase, Probase, Google Knowledge Vault, IBM Watsons, which contain millions of semantic relationships between hundreds of thousands of entities, and displaying the created information in machine-readable format. Within the scope of this article; Web-scale(end-to-end) knowledge extraction from heterogeneous data sources, methods, challenges and opportunities are provided.

https://doi.org/10.36937/ben.2023.4798

Maisha Fahmida Darul islam Md Al Mamun Md Asadul Habib Md Roknuzzaman

Design of Automatic Irrigation Water Supply Monitoring and Controlling System was pursued to create an automatic irrigation controlling device for efficient water use and turning pumping motor ‘On’ or ‘OFF’ by sensing the moisture percentage in the field surface throgh moisture sensor. Objective was to reduce the involvement of man power for field irrigation monitoring purposes and reduce water requirement. This method can insure the proper use of water without wastage and save water for future. With the konwledge of moisture value in soil, we can estimate how much and when to irrigate crops. When the moisture content level on the output of the sensor or soil becomes less than 30% (desired value), then sensor generated an alarm and turns the motor on automatically. Displayed as ‘motor On’in the LCD display and soil level was shown as ‘dry soil’. Per hour machine data was received and shown in data table. A digital LCD Thermometer hygrometer Humidity Temperature sensor was also used to detect the temperature and relative humidity of the atmosphere with moisture content level was shown. Different field tests with crop and without crop were done. Total design cost was 4790 taka. Wet soil was tested with oven dry method to get accurate moisture level of the soil. Almost similar moisture percentage with moisture sensor was found. Temperature and relative humidity was also observed with weather station and found similar with sensor reading. Overall designed control and monitoring system was found satisfactory with minor errors.

https://doi.org/10.36937/ben.2023.4690

Fiyinfoluwa Adebayo Fatuase Babatunde Oyedepo Ige Ibukun Umunu Silas Ajaka Oyedele Ebenezer

To meet some testing specifications, rock samples taken from an in-situ rock mass must be coring and polished into standard sizes. The sample length, smoothness, diameter, and thickness are examples of such specifications. All of these specifications have an impact on the test result and the achievement of the test goal. As a result, rock polishing and cutting operations are required in the laboratory to prepare and work on various types of samples. Most of the time, these machines are built differently, which is efficient but costly, rigorous, and takes volume and shape in the laboratory. A specimen-cutting and polishing machine was designed and built to help researchers obtain mineral/rock specimens for strength testing. This machine is made up of an electric motor, a diamond cutting disc, and an electric pump for water cooling. To convert electrical energy into mechanical energy, a 1.15KW electric motor was used. A central electrical distribution grid provides alternating current to an electrical motor. The designed machine used a 380V, 50Hz electric motor with a rotating speed of 1.83 m/min and a torque of 109.38 KN. The cutting machine was designed and built to cut and polish different materials in order to obtain specimens for strength tests and structure inspection.

https://doi.org/10.36937/ben.2023.4780

Md. Harun Ar Rashid Razib Ahmed Ramisa Anjum Syeda Sadia Islam

In rapidly growing urban regions of Bangladesh, several environmental hazards are now surfacing as main obstructing factors in the development activities. Specially, in the cases where existing drainage systems are available, new planning and updating process is often overlooked. To understand the drainage problems in Hajee Mohammad Danesh Science and Technology University (HSTU) area, the campus area was examined for the existing surface drainage conditions. By adopting some generalized sampling method, field survey was conducted and the study area was also surveyed with a total of 100 respondents living within it. 42% of the residents told that the current drain numbers are insufficient, 34% said solid wastes clogged the drain and the rest of them said that both of these are responsible for the drainage system's under performance. The various data were collected and analyzed providing some key observations, such as, there was a lack of well-planned drainage system, along with complications related to insufficient outfalls and maintenance issues. The poor drainage condition causes inundation of unsuspected areas that results in early pavement deterioration and also bring discomfort to the residents by hindering their day-to-day activities. For some drains with connection problems, alternative routes with new connections among the existing drains were suggested. Construction of new outfalls with proper outlets and branch drains with good connections to main drains would help to minimize rainwater runoff in drains. For future improvement, some provisions such as sand trap and bar screen were recommended as a solution of excessive sludge problems.

https://doi.org/10.36937/ben.2023.4781