Graphical User Interface (GUI) Controlled Mobile Robot

The advanced design and development of robotic technology in producing multi task are increasingly. In this paper presents about designing and developing mobile robot model that can be controlled using Graphical User Interface (GUI) via wireless protocol. This paper focuses on the control mobile robot by using the GUI as navigation control and the user can get a view an image and real time video on visual basic software. To address the problem of sired based control, XBee wireless communication circuit was used in mobile robot through a computer command. The development of this mobile robot consists of a chassis, a graphical user interface (GUI), XBee module, DC gear motor, camera, track wheels and microcontroller type PIC18F4550. Differential driving method using L298 circuit was used to control movement of the robot. In mechanical design, the wheel track has been used instead of conventional wheels to enable the robot to travel through different types of surfaces or rough terrain. In addition, wireless cameras was attached to the robot as a system of monitoring function. Finally, the robot will be designed to control wireless remote control that can control robots. Wireless remote control allows the user of an environment that is unsafe or dangerous device and evades wires or cables interfere with the movement of the robot

Identification of the genomic mutation in Epha4rb-2J/rb-2J mice

The EphA4 receptor tyrosine kinase is involved in numerous cell-signalling activities during embryonic development. EphA4 has the ability to bind to both types of ephrin ligands, the ephrinAs and ephrinBs. The C57BL/6J-Epha4rb-2J/GrsrJ strain, denoted Epha4rb-2J/rb-2J, is a spontaneous mouse mutant that arose at The Jackson Laboratory. These mutants exhibited a synchronous hind limb locomotion defect or “hopping gait” phenotype, which is also characteristic of EphA4 null mice. Genetic complementation experiments suggested that Epha4rb-2J corresponds to an allele of EphA4, but details of the genomic defect in this mouse mutant are currently unavailable. We found a single base-pair deletion in exon 9 resulting in a frame shift mutation that subsequently resulted in a premature stop codon. Analysis of the predicted structure of the truncated protein suggests that both the kinase and sterile α motif (SAM) domains are absent. Definitive determination of genotype is needed for experimental studies of mice carrying the Epha4rb-2J allele, and we have also developed a method to ease detection of the mutation through RFLP. Eph-ephrin family members are reportedly expressed as numerous isoforms. Hence, delineation of the specific mutation in EphA4 in this strain is important for further functional studies, such as protein–protein interactions, immunostaining and gene compensatory studies, investigating the mechanism underlying the effects of altered function of Eph family of receptor tyrosine kinases on phenotype

Optical fiber Bragg grating (FBG)-based strain sensor embedded in different 3D-printed materials: A comparison of performance

A compact fiber Bragg grating (FBG)-based strain sensor has been developed by embedding an FBG inside a 3D-printed structure, allowing the comparison of FBG responses across different filaments such as polylactic acid (PLA), thermoplastic polyurethane (TPU), polycarbonate (PC), acrylonitrile butadiene styrene (ABS), and nylon. Results have shown that FBG embedded in TPU can be effective in the measurements of mechanical strain, giving a responsivity value of 17.70 pm/cm with outstanding linearity of 98 %. Furthermore, small-scale field testing conducted in below-ground environments has shown that strain sensors based on FBG embedded in TPU are the most effective. They offer a responsivity of 13.9 pm/kg with a small standard deviation and high linearity. Additionally, they have the highest temperature sensitivity value of 15.4 pm/°C compared to the other embedded FBGs. Therefore, for most industrial applications, the FBG embedded in TPU can be considered as an alternative to existing embedment methods for strain sensing applications