Using the local positioning system based on Pulse Width Modulation for Robot Positioning

There are many ways to estimate the location of a moving object. One way is to determine its location using a GPS which calculates longitude and latitude of the object by the data received by the satellites rotating around the earth. However, there are no devices to recover calculated inherent errors and have an appropriate estimated signal. From robots' place, we should correct the errors made by collected data from sensors. A problem happening alternatively in the landmark identifying a method is the similar sharing data. The data obtained should be related to correcting land mark. Even though, some landmarks are likely to be similar. In addition, it is impossible to guarantee sightseeing line among landmarks in some arrangements. The other methods are to utilize radio frequency stations, which are placed around the robot by which we can find the real place of source of measurement error. In non-isolated environments, due to noises in signals using such a system should be investigated. In this PAPER, LPS (local positioning system) and the way it influences interference signals on the simulated system has been studied. A method has been tried to present in order to decrease destructive effects of noise using GA (genetic algorithm). In this way, the LPS modulation method and factors which cause interference signal and noises in the system have been stated. The obtained results have been illustrated by different simulations followed by discussions

Using the local positioning system based on Pulse Width Modulation for Robot Positioning

There are many ways to estimate the location of a moving object. One way is to determine its location using a GPS which calculates longitude and latitude of the object by the data received by the satellites rotating around the earth. However, there are no devices to recover calculated inherent errors and have an appropriate estimated signal. From robots' place, we should correct the errors made by collected data from sensors. A problem happening alternatively in the landmark identifying a method is the similar sharing data. The data obtained should be related to correcting land mark. Even though, some landmarks are likely to be similar. In addition, it is impossible to guarantee sightseeing line among landmarks in some arrangements. The other methods are to utilize radio frequency stations, which are placed around the robot by which we can find the real place of source of measurement error. In non-isolated environments, due to noises in signals using such a system should be investigated. In this PAPER, LPS (local positioning system) and the way it influences interference signals on the simulated system has been studied. A method has been tried to present in order to decrease destructive effects of noise using GA (genetic algorithm). In this way, the LPS modulation method and factors which cause interference signal and noises in the system have been stated. The obtained results have been illustrated by different simulations followed by discussions

Surface engineered metal-organic frameworks as active targeting nanomedicines for mono- and multi-therapy

The precision tenability of metal-organic frameworks (MOFs) enables the efficient encapsulation of a wide variety of small-molecule pharmaceuticals and macromolecular cargos, such as nucleic acids and proteins. MOFs, assembling of organic ligands and metal ions/metal clusters via coordinative bonds, offer advanced features in medicine and drug delivery due to their ultrahigh porosity, diverse functional groups, and versatile structures. After surface modification with active targeting moieties, MOFs can specifically transfer a high amount of payload to the site of action due to the high internal surface area. This review summarizes the unique properties of MOFs and their advantages as nanocarriers for drug targeting to treat different diseases. At first, we reviewed the structures of MOFs, and the corresponding synthesis approaches and characterization techniques. Then, the state-of-the-art strategies to functionalize MOFs with targeting moieties are discussed. Regarding the most recent active targeting delivery applications of MOFs, critical issues to fabricate an efficient carrier that can bind to overexpressed cell-surface receptors are discussed. Moreover, MOF-based nanocarriers are categorized based on the ligands (i.e., proteins, peptides, aptamers, small molecules, and polysaccharides) used to deliver therapeutic agents through active targeting. Finally, challenges and prospects are highlighted to provide context for future usage of MOFs as efficient drug delivery systems