A novel scheme to improve lifetime and real-time support for IEEE 802.15.4 based wireless personal area networks

IEEE 802.15.4 defines the working of physical and media access layers of a Low-Rate Wireless Personal Area Network (LR-WPAN). A LR-WPAN is a low cost, low power, and low data-rate network that offers reasonable lifetime and reliable data transfer within a limited range. However, it faces several challenges whilst dealing with applications that are having strict timeliness, energy, and bandwidth requirements. This paper proposes an efficient superframe structure for the MAC layer of IEEE 802.15.4 networks that intends to deal with these challenges by varying the functionalities of Guaranteed Time Slot (GTS) bits. Simulations of different GTS allocation techniques show that our enhanced scheme outperforms the original standard as well as previous techniques in terms of energy consumption, average delay, maximum GTS allocation and reliability

الإتجاھات الإسلامیۃ في روایات نسیم حجازی

NasimHijazi is one of the prominent literary figure in the sub-continent. His field of study is to present Islamic History in the form of novel to his readers to inculcate among them curiosity and interest with Islamic characters . Most of his novels have been translated in different  languages particularly in Arabic language. Due  to his literary efforts, the scholars of Arab countries pay him tribute a lot. The article in your hand deals with the rise and fall of Islamic empires as narrated by NasimHijazi. I also analysed in this article the main topics of NasimHijazi presented by him in most of his works, i.e. Character building. Improtance of prayer. Invitaiton of pondering to Human beings. Supermacy of Holy War. Faith fullness with Almighty Allah, the one. Acting upon the Teaching of Islam. Tolerance with other religions. Having good character with Minorities. Preaching of equality and justice. Preaching of tolerance on the footsteps of the Holy prophet (P.B.U.H) Arguing for the issues in the light of Holy Quran and sunnah Kindness for the sake of Allah and Malice for the sake of Alla

Probabilistic Model-Based Malaria Disease Recognition System

In this paper, we present a probabilistic-based method to predict malaria disease at an early stage. Malaria is a very dangerous disease that creates a lot of health problems. Therefore, there is a need for a system that helps us to recognize this disease at early stages through the visual symptoms and from the environmental data. In this paper, we proposed a Bayesian network (BN) model to predict the occurrences of malaria disease. The proposed BN model is built on different attributes of the patient’s symptoms and environmental data which are divided into training and testing parts. Our proposed BN model when evaluated on the collected dataset found promising results with an accuracy of 81%. One the other hand, F1 score is also a good evaluation of these probabilistic models because there is a huge variation in class data. The complexity of these models is very high due to the increase of parent nodes in the given influence diagram, and the conditional probability table (CPT) also becomes more complex

The CLE Urdu POS Tagset

The paper presents a design schema and details of a new Urdu POS tagset. This tagset is designed due to challenges encountered in working with existing tagsets for Urdu. It uses tags that judiciously incorporate information about special morpho-syntactic categories found in Urdu. With respect to the overall naming schema and the basic divisions, the tagset draws on the Penn Treebank and a Common Tagset for Indian Languages. The resulting CLE Urdu POS Tagset consists of 12 major categories with subdivisions, resulting in 32 tags. The tagset has been used to tag 100k words of the CLE Urdu Digest Corpus, giving a tagging accuracy of 96.8%.publishe