-22b9b34417bc6092a74ec 20211222064323326 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Engineering and Advanced Technology IJEAT 22498958 10.35940/ijeat.2249-8958 https://www.ijeat.org/ 10 30 2019 9 1 10.35940/ijeat.9.1 https://www.ijeat.org/download/volume-9-issue-1/ School of Electronics, Devi Ahilya University, Indore, India. Hemlata Pal Dr. Abhay kumar Head of department of School of Electronics, Devi Ahilya University, Indore, India. Objective-This study explores a novel application of multi scale bubble entropy analysis with power metric analysis to achieve efficient epileptic seizure prediction performance. Method-This paper aims to develop a reliable seizure detection technique that incorporates AM FM model for decomposition of EEG into different sub bands. The initially first feature set is formed by acquiring the absolute and relative power components at each electrode. Second feature set is constructed by multi scale bubble entropy analysis from each sub band. These two major feature vectors are fuse into an integrated feature space to perform classification task using ANN. Result-Experimental results show that this method presents: 1) Consistent increase in complexity measures, 2) Increase in stability & discrimination of power. These finding suggest that extracted features can be used for treatment of epilepsy. Significance- This method provides greater stability, so this technique could be used to detect wider range of seizures. 10 30 2019 1 5 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1000.109119 https://www.ijeat.org/portfolio-item/a1000109119/ professor of Mechanical Engineering Department, Xavier University, Cagayan de Oro City, Philippines, * Elmer B. Dollera Three quarters of the earth’s surface is covered with water[1]. Based on a survey, with the world’s population growing every year, the supply of usable water is not keeping enough with the required amount of water needed for survival. Nowadays, clean water has become a business which produces constraints when it comes to accessibility. Here in the Philippines, there are various diseases every year which relates to unsafe drinking water which may sometimes lead to death. The researchers want to know the effectivity of the assessed solar desalination system, how much desalinated water could this system provide and how long does it take for this amount to be produced in a given day. This study uses a parabolic trough which is the main means of harnessing solar energy and transferring this energy to the saltwater container which will heat up the pre-specified amount of saline water. The vapor will evaporate and the condensate will be trapped in the glass lid and routed to a desalinated water container. An evaluation is made to know the effective glass thickness for the device, the 3mm, 6mm and 10 mm thickness has been assessed and after the testing phase, it has been found out that the 10 mm glass thickness produced the optimum results. It is able to produce a liter of desalinated water out of 5000 mL of saline water. It is then observed that the 10mm glass thickness has the highest volume conversion efficiency of 23.10 % , followed by the 6mm glass thickness of 21.90% and the 3mm glass thickness of 17.30%. 10 30 2019 6 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1004.109119 https://www.ijeat.org/portfolio-item/a1004109119/ School of Electrical Engineering, Telkom University, Bandung Indonesia Ridha Muldina Negara Rohmat Tulloh School of Apllied Science, Telkom University, Bandung, Indonesia Nandy Hadiansyah P.N School of Apllied Science, Telkom University, Bandung, Indonesia Rizka Triani Zahra School of Apllied Science, Telkom University, Bandung, Indonesia Locker is a place that people usually use to keep things. Commonly, lockers are found in campus hall, tourist site, or other public places. Lockers that we face in a daily activities usually still using a conventional keys that we can’t guarantee the security of it. The focus of this research is on online locker rental system that can be accessed through android smartphone and MyLocker application by scanning the QR code. Within this system, occurred website that can be used to see the filled locker or the unfilled locker and there’s admin page, to see the summary of data user and the agreement of top up request. The devices component that we used are NodeMCU, Relay, solenoid door lock and magnetic door switch. From the result of the test that done by system worked so well and delayed that we achieved while we did the QR code reading experiment with of lux, gap, and gradient slope with optimal condition is 1.45 seconds. 10 30 2019 12 19 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1008.109119 https://www.ijeat.org/portfolio-item/a1008109119/ ResearchScholar, Bharathiar University, Coimbatore, Tamil Nadu, India R. Lalitha Dr. J. Jebamalar Tamilselvi Research Guide & Professor,Department of CSE,Jaya Engineering College,Chennai, Tamil Nadu, India Neuronal Connectivity is learning from the intelligence to enhance the knowledge of our computing devices, certain, namely recognition, locomotion, or objective recognition. Such synthetic neural networks have at last being used after understood patterns on talent recreation between Amygdala imaging Scientists studied the talent for 150 years, trying to link the intelligence along behavior. Such studies have old strategies beyond microscopes according to inserting genes within existing cells. This paper interface device, such so cochlear implants then implanted electrodes according to allow Amygdala Images according to pace devices outside perform repair lost applications to individuals. Neurons firing round 5 in imitation of 50 instances a second speed Signals in a tent about a second regular neuron makes 10000 connections including 5000 trillion synapses. The reliability propriety over susen algorithms that new method 3D pose estimation in Drosophila the usage on accuracy with speed ratio then statistics dividing in accordance with permit counterpart throughout analysis NIAK for UCI Dataset Autism Screening Adult(ASA) better rate of accuracy 95.41% and speed 91.72%. 10 30 2019 20 25 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1014.109119 https://www.ijeat.org/portfolio-item/a1014109119/ Department of Civil Engineering at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. Mr. M. Manoj Kumar Dr. V Srinivasa Reddy Professor in Department of Civil Engineering at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. Dr.M. V. Seshagiri Rao Professor in Department of Civil Engineering at CVR Collage of Engineering, Hyderabad, India. Dr. S Shrihari Professor in Department of Civil Engineering at VJIT, Hyderabad, India. An effort to find an alternative for conventional steel in concrete by researchers leads to study the behaviour of basalt fibre reinforced polymer (BFRP) bars in concrete. In the present study the flexural behaviour of basalt fibre reinforced polymerconcrete beams. The tension test on BFRP bars demonstrated that BFRP bars have nearly three times high tensile strength, low modulus of elasticity of nearly one-fourth of conventional steel bars and alsothe stress-strain behaviour is linearwithout any yield point up to failure. In the present study, flexural behaviour of concrete beams reinforced with BFRP rebars comparing with reference beams made with conventional steel reinforcement. Load carrying capacity, deflection at mid-span and mode of cracking is observed. The beam with flexural BFRP reinforcement has load capacity of 46.7 kN whereas for beam with steel rebars has flexural load capacity of 37.6 kN. Deflections of BFRP reinforced concrete beams at midspan during failure is 14mm considerably more than the steel reinforced beam deflection which is 5.6mm, due to much lower modulus of elasticity of BFRP rebars when compared to steel rebars. Average width of cracks at failure in BFRP concrete beams nearly 4 times higher than in the reference steel concrete beams. 10 30 2019 26 30 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1015.109119 https://www.ijeat.org/portfolio-item/a1015109119/