نشریه مهندسی نقشه برداری و اطلاعات مکانی
سال هشتم شماره 4 (پیاپی 32، آذر 1396)

The augmented reality is a combination of real vision with virtual content at a time that there is an interface to improve the user perception of the real world and help him interact with it. The widespread use of smart phone devices equipped with various sensors such as GPS, gyroscope, camera as well as various access to high-speed wireless networks have made the augmented reality services become increasingly popular in recent years. Most of current augmented reality systems are used in small environments. This is due to several problems in outdoor that develop location-based augmented reality systems. In the development of interactive visualization systems we can all the facilities of the current systems such as GIS, environment modeling, three-dimensional modeling in combination with three-dimensional systems. In this study the implications of the augmented reality and its relationship with GIS, implementation methods, augmented reality tracking and augmented reality frameworks are examined.

One of the ways to overcome human disabilities is the use of artificial parts, for which modeling plays an important role. This process is usually is done manually and, thus, is time consuming and error prone. Human’s body lacks suitable texture. Thus, the modeling technique should be one that does not require such information. Shape From Silhouette is a technique of such which does not require texture for matching, thus is adopted in this study. The problem with SFS is that it requires many images to form a complete detailed model. This in turn needs several camera positions, the availability of which is both expensive and difficult. To overcome this problem, in this paper it is suggested to use videos as an alternative source. As using video leads to difficulty in orientation of images, coded targets are used to simplify and automate the process. Experiments carried out to test the proposed system, suggest that not only the accuracy of measurements is achieved but also the process is simple and practical enough to be used in practical projects.

In recent years, mobile phone technology is developing and its interest is increasing cause of using mobile phone in guidance application. increasing in tourism and huge attention to travel has make it an important and profitable industry in the world. so, achiving to it need to know a bout tourism developed systems ; such as recommender systems. recommender systems with attention to user profile, needs, situation and restrictions provide services to save the time and coast, services include recommended attractions, roads and staying places.
in this stady,first recommender systems are reviewed, types of them are presented based on recommendation methods and focused on mobile tourism services, then tourism systems architecture are presented and evaluated.

In recent years, wireless sensor networks data is taken into consideration as an ideal source, in terms of speed, accuracy and cost, in order to study the Earth's surface. One of the most important challenges in this area, is the signaling network coverage and finding holes. For this purdpose, previous studies used random methods or complex assumptions. Their heavy calculations an time-consuming approaches, prevent algorithms to be implemented to dynamic sensors. This Article has provided a new cost-effective and efficient method of coverage hole detection in wireless sensor networks with no location information, using algebraic topology. The proposed method is a new and unique method that it's tools use no coordinates and assumes. Also in order to reduce costs, the nodes are lacking capabilities such as localizing or navigation. In the proposed method, first, the null space of the first Laplacian is investigated. This space is equal to the first (co)homology group. If the amount is trivial, the network coverage is complete. But when the (co)homology is non-trivial, it is a sign of the existence of holes in network coverage. In other words, the rank of harmonics matrix shows the number of no-coverage areas. In the following, hole location extraction method is discussed using divide and conquer algorithms combined with the use of features of elements in the laplacian matrix null space. Since the method has not been used to diagnose areas without coverage in mobile networks yet, in order to evaluate the results, we estimated the performance of the algorithm in detection of areas without network coverage in a moving sensor network. The final results indicate the powerful performance and accuracy of the proposed algorithm.

In this study, a method for simulating co-seismic gravity gradient tensor of great earthquakes has been developed. We compare the results with the existing softwares. Moreover, gravity gradient changes of the 11 March, 2011, Tohoku earthquake has been calculated using GRACE data. The GRACE-derived gravity gradient changes as well as gravity change agee well with seismic model prediction. We use a set of the gravitational gradient tensor components (e.g. ΔVxx and ΔVxz, x and z refer to north and up directions, respectively) since they are more sensitive to small-scale signals and they reduce striping errors without using any de-striping filtering.

Nowadays, roads play important roles in civilian lives especially for transportation and cargo applications. Having up to date maps of roads, seems critical for every further planning and decision making. For these purposes, recently, automatic road extraction and maps generation from high and very high resolution images has become interesting topics in recent investigation of photogrammetry and remote sensing. On the other hand, Unmanned Aerial Vehicles (UAVs) showed appealing proceed in generation of very high resolution imagery interesting for map generation applications because of lower expenses, higher availability and ease of application. In this paper, we try to review all the available methods presented by now for automatic road map generation based on very high resolution images achieved from UAVs. More than 20 papers are reviewed and based on critical parameter, they are analyzed and most applicable and appropriate methods are introduced.

Optimum site selection is among the most important issue for the success of aquaculture and need to be carried out in accordance with sustainability and best practice guidelines. Coastal regions in Hormozgan province as a potential area for aquaculture development was investigated. In order to select an optimum site for developing fishery and aquaculture from generally aspects of social-economic, biologic and environmental criteria, the present work focuses on Fuzzy approach. Thus, after data collection, main layers were prepared in GIS and then the layers were standard using Fuzzy membership function and inter layer valuating. Then fuzzy standard layers were integrated using Fuzzy operators. Finally, the result were prepared in form of zoning map. In the method, 4005.88 km area of the study area i.e.14% of total of area is located in very good class. The results indicate Hormozgan state has high potential for aquaculture industry. As a result, central parts of the study area are the most suitable for development of aquaculture industry.