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The unmanned aerial vehicle communication networks (UAVCN) is an emerging technology of wireless communication. By making use of this technology, the swarm of unmanned aerial vehicles (UAVs) forms a network in which the UAVs can communicate with each other and trigger the information for a particular operation of military and civilian applications. The UAV nodes frequently face design issues and power limitations , which affect the routing mechanism. It is a unique challenge for the researchers to introduce the efficient power and routing mechanism that can improve the performance of UAVs' communication networks. However, the concept of cross layer design and efficient power algorithm proposed in this paper increases the performance of UAVCN. The proposed approach integrates the layers 1,2,3 (physical, link, and network). By implementing this kind of approach, an efficient power optimized link state routing (EPOLSR) protocol introduced in this research modifies the conventional OLSR. The EPOLSR and OLSR are implemented and assessed in the first experiment scenario of UAVs communication networks by using an optimized network engineering tool. Moreover, the EPOLSR, OLSR, AODV, and DSR are implemented and assessed in the second experiment scenario. In these testbed experiments, it has been observed that EPOLSR performs better than other routing protocols for UAVs communication networks by increasing the throughput and minimizing the delay.

In computer science field, one of the basic operation is sorting. Many sorting operations use intermediate steps. Sorting is the procedure of ordering list of elements in ascending or descending with the help of key value in specific order. Many sorting algorithms have been designed and are being used. This paper presents performance comparisons among the two sorting algorithms, one of them merge sort another one is quick sort and produces evaluation based on the performances relating to time and space complexity. Both algorithms are vital and are being focused for long period but the query is still, which of them to use and when. Therefore this research study carried out. Each algorithm resolves the problem of sorting of data with a unique method. This study offers a complete learning that how both of the algorithms perform operation and then distinguish them based on various constraints to come with outcome.

3C Tecnología. Glosas de innovación aplicadas a la pyme.

The Unmanned aerial vehicle communication network (UAVCN) is a group or swarm of unmanned aerial vehicles which can be used for specific military and civilian applications without human intercession. This network faces the design problem which is based on network mobility. The frequent topology changes affect communication and collaboration among the UAVs (Unmanned aerial vehicles). To govern the movement pattern of UAVCN different mobility models needed to be studied in order to solve this communication issue. In this paper, mobility models are explored which provides the particular mobility pattern to resolve the problem of collaboration, communication and cooperation of UAVs. These models have been categorized into five groups and classified each group in detail. These mobility models provide the platform to understand and implement the unmanned aerial communication network for specific environment scenarios. The mobisim simulator tool is used to generate the mobility model s trajectories for different mobility models.

The present day state of Sindhi corpus construction is elaborated in detail in this paper. The issues like corpus acquisition, tokenization and preprocessing have been analyzed and discussed minutely for Sindhi corpus enhancement. Initial observations and results are included for letter unigram, bigram and trigram frequencies. There has been discussed the present status of Sindhi corpus in perspective of restriction and future work. Orthography and script were also explored in this paper with reference to corpus development. Basically the word corpus was used first time by German Scholar (Das Corpus). The plural of corpus is corpora, which is used for huge text data consists of millions and billions of text data. The task of Natural Language Processing was very challenging because there was the scarcity of resources for computational linguistics and research. Different text corpora have been made in different languages of different countries, after reviewing the corpora of different languages of various countries, we are trying to make the corpus for Sindhi language.

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Object detection and tracking with the aid of computer vision is a most challenging task in the context of Driver Assistant System (DAS) for vehicles. This paper presents pedestrians detection techique using Haar-Like Features. The main aim of this research is to develop a detection system for vehicle drivers that will intimate them in advance for pedestrian's movement when they are crossing the zebra region or passing nearby to it along the road. For this purpose, dataset of 1000 images have been taken via CCTV camera which was mounted for road monitoring. A Haar based cascade classifiers have been implemented over images. And system is trained for positive (with people) and negative (without people) image samples, respectively. After testing, the obtained results show that it attained 90% accuracy while pedestrian detection. The proposed work provides significant contribution in order to reduce the road accidents as well as ensure the safety measurement for road management.