Range Tree Based Indexing of Mobile Tracking System

With advances in location-based services, indexing the need for storing and processing continuously moving data arises in a wide variety of applications. Some traditional spatial index structures are not suitable for storing these moving positions because of their unbalance structure. Searching an unbalanced tree may require traversing an arbitrary and unpredictable number of nodes and pointers. Presorting before tree structure is one of the ways of building a balanced two dimensional tree. In this paper, we proposed Presort Range tree that is suitable for moving objects with the dynamic range query. Moreover, with extending mobile technology, tracking the changing position of devices becomes a new challenge. The current location of each user would always be known at the server side whereas it would create a problem. If the mobile movements are small and frequent, at that time unnecessary updates would be performed at the server. In this paper, we also proposed Hybrid Update Algorithm to reduce the server update cost greatly

Mobile Location Indexing Based On Synthetic Moving Objects

Today, the number of researches based on the data they move known as mobile objects indexing came out from the traditional static one. There are some indexing approaches to handle the complicated moving positions. One of the suitable ideas is pre-ordering these objects before building index structure. In this paper, a structure, a presorted-nearest index tree algorithm is proposed that allowed maintaining, updating, and range querying mobile objects within the desired period. Besides, it gives the advantage of an index structure to easy data access and fast query along with the retrieving nearest locations from a location point in the index structure. A synthetic mobile position dataset is also proposed for performance evaluation so that it is free from location privacy and confidentiality. The detail experimental results are discussed together with the performance evaluation of KDtree-based index structure. Both approaches are similarly efficient in range searching. However, the proposed approach is especially much more save time for the nearest neighbor search within a range than KD tree-based calculation

Mobile Location Based Indexing of Disaster Notification System

Myanmar is one of the countries that geographically located in the disasteraffected area because of the climate changes and environmental conditions. There isno way to prevent the natural disaster, but its impacts can be reduced or rescued.Adequate prior disaster information can save a significant number of lives andproperties. Therefore, the accurate alerts or notifications about disasters are neededfor Myanmar people. Now, there are many mobile phone users along with thetechnological progress around the world including in Myanmar. Thus, mobile devicesbecome the most convenient communication tools which have not time and placelimitations. A suitable disaster notification system based on mobile phones is one ofthe useful things as it is also a requirement of Myanmar people. Because of the fastand easy way, notification messages via mobile phones take benefits in thecommunication activities.The main service task of this system is the delivery of possibly disasterinformation to mobile devices which are in the imminent disaster region. The systemfinds whether mobile is within a predefined area using its current location. The userswho are in the imminent disaster area will receive the required notification messages.In this system, the server gets the current mobile position and keeps their locationupdate structurally are a great challenge along with the continuously changing in theposition of mobile devices. Therefore, a suitable technique is needed to store andupdate mobile positions. Moreover, when a message delivery to mobile deviceswithin the specified range, the factor to be considered which mobile should be sentthe message first. One of the most suitable solutions is sending the nearest mobilelocations as fast as possible.In this system, a two-dimensional balanced structure, a presort-nearestlocation index tree is proposed that allows maintaining, updating, and circular rangequerying mobile objects within the required time. It also supports generating nearestlocations by index structure from the desired query point. In this structure, all of thelocation nodes are placed by level order thus nodes at any distance can easily findwithout traversing the whole tree and the searching time may reduce greatly. It isharmonized to solve nearest neighbor location queries since the locations of the datapoints are based only on their relative distances from each other. In addition, allmobile locations in the range will be available by the distance at one time.Then, the system architecture is built for sending notifications by connectingwith firebase cloud messaging (FCM), application server and mobile devices in theimminent disaster area. To overcome being unnecessary updates at the server, HybridUpdate Algorithm is proposed in this system. In this case, a virtual mobile dataset isneeded to access several of moving mobile locations for performance evaluation.Thus, a synthetic mobile location generator is proposed that is based on the creationof two-dimensional mobile locations. As a result, this generator is free from locationprivacy and confidentiality.The necessary performances are tested by using a JUnit testing schema, whichcan automatically apply to run in testing functions. For performance evaluations, theexecution time, updating time and CPU usage are measured by comparing betweenproposed presort-nearest location index tree, presort range tree and KD tree accordingto the evaluation of tree construction, range searching and neighbor searching overmoving objects. Besides, the distance-based method is applied for comparison of twoof index structures

Implementing Mobile Tracking System on Disaster Notification

With advances in location based services,tracking the changing position of devices is becominga new challenge. Mobile devices are the mosteffective and convenient communication tools whichare not restricted by time and place. In this paper,the main service task is the timely delivery of possiblydisaster information to mobile devices which are inthe imminent disaster area.The system finds whether a mobile is within adefined disaster area using its GPS coordinates. Thesystem architecture is built for sending notification tomobile devices in disaster service area. This systemalso proposes an algorithm for client side whichcombines the time and distance-based locationupdateapproaches. This proposed algorithm will aidto get last current location and reduce server updatecost

Message Scheduling Delivery on Disaster Notification System

Natural disaster cannot be prevented, but itsimpacts can be eliminated or reduced. Mobiledevices are the most effective and convenientcommunication tools which are not restricted by timeand place. In this paper, the main service task is thetimely delivery of possibly disaster information tomobile devices which are in the imminent disasterarea. The system finds whether a mobile is within adefined disaster area using its GPS coordinates. Thesystem architecture is built for sending notificationsto mobile devices in disaster area. This system alsoproposes an algorithm for server side messagescheduling based on queuing theory. This algorithmcan handle queuing of messages and delivery to thetarget devices

Diagnosis of HIV/AIDS stages and Treatments by using Case-based Reasoning Approach

At present, there are many diseases at each case so that it is difficult to get a correct diagnosis. And, consultation with a specialist is one of the solutions in clinical problem, but frequently medical expert opinion can’t be got in time. Moreover, for a patient, the availability of medical expert is a problem whenever he/she feels the disease. In the absence of a specialist doctor, to help the patient, an artificial diagnosis system is necessary to get useful suggestions. So, the system is develops diagnosis of HIV infection stages and treatments in adults by using Case-based reasoning (CBR). In this system, case-based diagnosis system try to retrieve past cases whose symptoms lists are similar in nature to that of the new case and suggest diagnose based on the best matching retrieved cases. The objective of case-based system is to find the case which the maximum similarity to the input cases. This system supports the diagnosis of four stages of HIV infection stages and suggest treatments

NEO212, a Perillyl Alcohol-Temozolomide Conjugate, Triggers Macrophage Differentiation of Acute Myeloid Leukemia Cells and Blocks Their Tumorigenicity

Many patients with acute myeloid leukemia (AML) are still dying from this disease. In the past, the alkylating agent temozolomide (TMZ) has been investigated for AML and found to be partially effective; however, the presence of O6-methylguanine DNA methyltransferase (MGMT; a DNA repair enzyme) in tumor cells confers profound treatment resistance against TMZ. We are developing a novel anticancer compound, called NEO212, where TMZ was covalently conjugated to perillyl alcohol (a naturally occurring monoterpene). NEO212 has revealed robust therapeutic activity in a variety of preclinical cancer models, including AML. In the current study, we investigated its impact on a panel of human AML cell lines and found that it exerted cytotoxic potency even against MGMT-positive cells that were highly resistant to TMZ. Furthermore, NEO212 strongly stimulated the expression of a large number of macrophage-associated marker genes, including CD11b/ITGAM. This latter effect could not be mimicked when cells were treated with TMZ or an equimolar mix of individual agents, TMZ plus perillyl alcohol. The superior cytotoxic impact of NEO212 appeared to involve down-regulation of MGMT protein levels. In a mouse model implanted with TMZ-resistant, MGMT-positive AML cells, two 5-day cycles of 25 mg/kg NEO212 achieved an apparent cure, as mice survived >300 days without any signs of disease. In parallel toxicity studies with rats, a 5-day cycle of 200 mg/kg NEO212 was well tolerated by these animals, whereas animals that were given 200 mg/kg TMZ all died due to severe leukopenia. Together, our results show that NEO212 exerts pleiotropic effects on AML cells that include differentiation, proliferation arrest, and eventual cell death. In vivo, NEO212 was well tolerated even at dosages that far exceed the therapeutic need, indicating a large therapeutic window. These results present NEO212 as an agent that should be considered for development as a therapeutic agent for AML