Miracle-dz/UniFAR-FTUs huggingface dataset:
NOVEL INTERFERENCE AVOIDANCE APPROACH FOR FEMTOCELL NETWORKS

-Short range, low power, plug and play femtocell improves indoor service availability with higher data rate, better voice quality, extended cell edge coverage, network traffic offloading and negligible greenhouse gas emissions. However, due to frequency reuse, edge macrocell users are subjected to severe uplink interference from co-channel deployed femtocell in the same province. Transmit power control approach is a recommended remedy to overcome such type of interferences. This paper deals with macrocell uplink interference avoidance, based on femtocell user’s Maximum Transmit Power Control with release 11’s feedback (R-11 based MTPC) approach. The feedback strategy incorporated in this paper is formulated by 3rd Generation Partnership Program for Long Term Evaluation (3GPP LTE). Implementation of new release 11 signaling interface between femto-base station (FBS) and macro-base station (MBS) with power conditioning approach ensures minimal feedback delay, higher received signal to interference plus noise ratio (SINR), significantly less outage probability and better throughput. Simulation results witnesses less feedback delay, better power conditioning with less interference, improved SINR, negligible outage probability.
An Improved Performance Evaluation on Large-Scale Data using MapReduce Technique

: In a day-to-day life, the capacity of data increased enormously with time. The growth of data which will be unmanageable in social networking sites like Facebook, Twitter. In the past two years the data flow can increase in zettabyte. To handle big data there are number of applications has been developed. However, analyzing big data is a very challenging task today. Big Data refers to initiatives and technologies that involve data that is too diverse, high-speed-changing or huge for conventional technologies, skills and infrastructure to address efficiently. The current infrastructure to handle big data is not efficient because of data capacity. The processing of big data problem can be solved by using MapReduce method. The efficient implementation of MapReduce model requires parallel processing and networked attached storage. Hadoop and Hadoop Distributed File System (HDFS) by apache are commonly used for storing and managing big data. In this research work we suggest different methods for catering to the problems in hand through MapReduce framework over HDFS. MapReduce method has been studied at in this paper which is required for implementing Big Data analysis using Hadoop Distributed File System
Secured and Intelligent Multipath Routing Approach using AOMDV in Manet

— There are two type of communication network used for communication purpose first one is Traditional wireless network and second is mobile Ad hoc network . Mobile Ad hoc network is better option than Traditional Ad hoc network due to its independent nodes and no central administration required. In MANET, sensor nodes are battery operated because it is a limited resource therefore it requires attention to minimum consumption of energy in MANET. In this paper, the main focus is on the energy of the sensor nodes and security of the sensor nodes. As AODV is traditional algorithm for mobile Ad hoc network, the concept of AODV is used in modified fashion to get the multiple paths in single route discovery phase for minimum energy consumption. And for security purpose we use the two well known cryptographic algorithms RSA and Diffie Hellman one by one find which gives best performance in terms of time taken. Results show that the diffie hellman key exchange algorithm provide better results while compare with the RSA key generation algorithm in terms of time taken.
Cluster Based Energy-Efficient Routing Algorithms for Mobile Ad-hoc Network Using OPTICS

: MANET is a collection of wireless mobile nodes, which dynamically form a temporary network, without using any existing network infrastructure or centralized administration. These are often called infrastructure-less networking since the mobile nodes in the network dynamically establish routing paths between themselves. Current typical applications of a MANET include battlefield coordination and onsite disaster relief management. Each node participating in the network acts both as host and a router and must therefore is willing to forward packets for other nodes. For this a routing protocol is needed. An Ad hoc network has certain characteristics, which imposes new demands on the routing protocol. The design and analysis of routing protocols is an important issue in dynamic networks such as packet radio and ad-hoc wireless networks. Dynamic networks consist of mobile hosts, which can communicate with each other over the wireless links (direct or indirect) without any static network interaction. In such networks the mobile host has the capability to communicate directly with another mobile host in its vicinity. The mobile hosts also have the capability to forward (relay) packets. Examples of such networks are ad-hoc wireless local area networks and packet radio networks. Several proactive routing protocols have been proposed to improve the efficiency and power management in a MANET.
O-Nect: Open Source Interface for Motion Capture using RGB Camera

The use of neural networks for evaluation of Human Pose Estimation has been around for a long time in the field of entertainment , gaming , modeling using Motion Capture systems. However , these systems require expensive hardware installations. Motion capture provides several advantages over traditional animation methods. However,the cost of hardware equipment ,personnel and software makes it highly ineffective for low budget designers to obtain and process the essential data for their projects. Complex movement animations and realistic physical interactions can be easily recreated using our approach with minimal hardware investment. In this paper, we discuss an open source library : O-Nect which can be utilized for Motion Capture using a simple RGB camera. Motion Capture based interactive applications could be potentially beneficial while designing interactive humanoid robots.
Cost-Effective Workflow Scheduling Algorithm for Cloud

: Cloud computing is the future to support the upcoming and promising inventions and various applications that are establishing revolution among all the industries that involve technology. As, cloud computing offers vast facilities to store and compute data over the internet, its network is predicted be a major hardware and software resource provider to certain developing areas like Artificial Intelligence, Quantum Computing, etc. Due to this, workflow scheduling in cloud computing is a major concern to the developers as well as consumers. Therefore, we analyzed the various existing workflow algorithms that are used to schedule tasks for various existing scientific workflows like Montage, LIGO, and Epigenomics. Most of the simulation of these workflows was done using CloudSim on NetBeans using Java. The existing workflow scheduling algorithms were simulated and compared to the proposed algorithm that considers VM performance variation and acquisition delay, other than time and cost.
Corpus based Automatic Text Summarization System with HMM Tagger

 Abstract —The rapid growth of the data in the Internet has overloaded the user with enormous amounts of information which is more difficult to access huge volumes of documents. Automatic text summarization technique is an important activity in the analysis of high volume text documents. Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. In this paper a frequent term based text summarization technique with HMM tagger is designed and implemented in java. The proposed system generates a summary for a given input document based on identification and extraction of important sentences in the document. The model consists of four stages. In first stage, the system decomposes the given text into its constituent sentences, assigning the POS (tag) for each word in the text and stores the result in a table. The second stage removes the stop words, stemming the text and applying lemmatization. Feature term identification is done in third stage. Finally each sentence is ranked depending on feature terms. This stage reduced the amount of the sentences in the summary in order to produce a qualitative summary.
FLOW BANDWIDTH MLWDF FOR LTE DOWNLINK TRANSMISSION

Long term evolution (LTE) Network is often faced with the challenge of meeting up with the quality of service (QoS) requirement of the different services supported in the Network. Maintaining a trade-off between system throughput and fairness among users when making radio resources scheduling decisions is very sensitive and problematic to most scheduling schemes. One of well-known packet schedulers known as Modified Largest weight delay first (MLWDF) algorithm is known to support both real time and non-real time services. This algorithm has been found not to support real time services at a sufficient level. This is due to the fact that head of line (HOL) delay and packet delay not sufficient to balance the scheduling decision to real time services thereby degrading its performance. This research work was an attempt to improve the performance of MLWDF by incorporating bandwidth of flow, 𝛽 , which is directly proportional to flow weight and reserved rate . This approach used the uncertainty principle of fuzzy logic to calculate new weight for the different flows, by considering two input parameters from the network which are latency requirement for real time traffic and throughput for non-real time traffic . Results when compared with proportional fairness (PF),MLWDF, exponential proportional(EXP/PF) showed improved performance in Video and VOIP using throughput, packet loss rate, fairness index and delay as performance indices in an LTE simulator.
A Study of Wireless Distributed Computing Challenges and Approaches

: Wireless distributed computing, in which cluster of wireless computing devices, connected through a wireless networking devices. Wireless distributed computing eradicates the need for a core computing system, which is critical in numerous significant applications, such as autonomous control and navigation systems for vehicles, in which access to the core computing system can be extremely limited. Our survey is different from existing surveys in that we focus on recent developments in Wireless distributed computing technologies. We review the leading research projects, standards and technologies, and platforms. This paper intends to help new researchers entering the domain of WDC by providing a comprehensive survey on recent developments.
EVALUATION OF ANTIOXIDANT AND ANTIMICROBIAL ACTIVITY OF STINGLESS BEE PROPOLIS (TETRAGONULA IRIDIPENNIS) OF TAMILNADU, INDIA Original Article

Objective: Propolis is a mixture of plant resins and bee secretions. This study is to evaluate the antioxidant and antimicrobial activity of stingless bee propolis (Tetragonulairidipennis), rearedfromPudukottai region of Tamilnadu, India and also to determine the total phenol and total flavonoid contents of the sample responsible for these properties. Methods: Stingless bee propolis was extracted by ultra sonication method and was characterized by UV-Visible, FT-IR and SEM analysis. Total Phenolic and flavonoid contents were determined by using Folin-Ciocalteu spectrophotometric method and Aluminium chloride colorimetric method respectively. DPPH radical scavenging assay was used to find the antioxidant activity of the sample. Antibacterial activity was determined by using standard agar well diffusion method. Results: Total polyphenol content of the sample was 150µg/ml of Gallic acid equivalent (GAE) and the flavonoid content was 6mg/g of Quercetin equivalent (QE). The antioxidant potential of stingless bee propolis is found to be 83 %. The sample showed significant antimicrobial activity against various human pathogens. Conclusion: Stingless bee propolis (Tetragonulairidipennis) collected from Pudukottairegion, Tamilnadu is a potential natural antioxidant source and is a promising antimicrobial drug for various bacterial infections.
Context Based Information Retrieval

— Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are still many situations in which the users are presented with imprecise or very poor results. One of the key difficulties is the fact that users usually submit very short and ambiguous queries, and they do not fully specify their information needs. That is, it is necessary to improve the query formation process if better answers are to be provided. The proposed system is a revised concept-based query expansion technique, which allows disambiguating queries submitted to search engines. The concepts are extracted by analyzing log files and query relations mined using association rules. The concepts related to the current query are then shown to the user who selects the concept that he interprets is most related to his query. This concept is used to expand the original query and the expanded query is processed instead. Using a Web test collection of stock news articles this technique has been implemented and it can be clearly seen from the results that the proposed system leads to gains in precision. The proposed system attempts to improvise the performance of the vector space model system and provide relevant documents to the user based on the context.
Influence of technological changes on growth of women- owned micro and small enterprises in Kitui County, Kenya

This paper examined the influence of technological changes on growth of women owned micro and small scale enterprises in rural areas of Kitui County. The study used descriptive survey as the research design involving a target population of 390 women owned MSEs drawn from manufacturing, agriculture, commerce and services sectors in Kitui County. Proportionate stratified sampling was used to form a sample of 194 women entrepreneurs. Simple random sampling was applied on the sample to select the respondents from each sector for the study. The research instruments were pre – tested, questionnaire and observation guide covering all the study parameters. Analysis of the data was done using descriptive and inferential statistics. The study findings revealed that there is no significant relationship between technology and growth of women owned enterprises in Kitui County. From the findings it was observed that majority of women entrepreneurs were not using mobile phones to do business and majority of women in rural areas are not computer literate. The study recommended that policy makers to encourage utilization of appropriate technology by MSEs, continuous training and dissemination of information to women entrepreneurs. Development of an online Women’s Trade Portal. Building on existing resources, this could be an ‘one‐stop‐shop’ Internet site to provide practical guidance to women entrepreneurs. Web‐based networks for women locally, nationally and internationally should be established.
“The Medication always Reminds Me”. Living with Perinatal acquired HIV-Children and Parentsʼ View Points

Lise-Lott Rydström1*, Lars E Eriksson2-4 and Anita Berlin1 1Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockhom, Sweden 2Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, SE-171 77 Stockholm, Sweden 3Department of Infectious Diseases, Karolinska University Hospital, SE-141 86 Huddinge, Sweden 4School of Health Sciences, City, University of London, London EC1V 0HB, United Kingdom
A SYSTEMATIC REVIEW ON RADIOLOGY SERVICES QUALITY INDICATORS

ABSTRACT Introduction: Services quality in radiology department became a concern of stakeholders. Quality of the service increases the consumer and provider benefits. Those benefits include services reputation improvement, increase loyalty, improve cost-effectiveness, and reduce dose of radiation. The aim of the study is to review related scientific articles that discussed radiology services indicators and to find out the gaps among those studies. Methods: A systematic search was performed utilising four electronic database which are, Pub-med, Science Direct, Medline and CINAHL using the keywords “radiology” and “indicators”. The included studies are those published until June of 2016, written in English, conducted on different diagnostic imaging sections and evaluated the quality of radiology services. Studies on therapeutic radiology, disease, pharmaceutical, or studies that examined technical effect of a particular equipment on a disease diagnosis were excluded. Results: A total of 33 scientific articles were identified. Of these, only 14 studies were eligible and included. Three of them discussed on discrepancy rate indicators, while two studies measured the repetition rate. Four discussed on report turnaround time, three was on dose of radiation, and the last was discussing on indicator and uses of them. Conclusion : Various types of indicators were used to measure quality in radiology services, mostly focussing on the process indicators. These studies indicate and emphasized on importance of quality control indicators in radiology department. Keywords: Radiology, quality indicators, service improvement, discrepancy rate, report turnaround time, repetition rate, dose of radiation.
THE INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLEDGE Design of High Performance Pipelined Data Encryption Standard (DES) Using Xilinx Virtex-6 FPGA Technology

FPGA is presented. It is shown that, Dynamic specialization of the DES circuit gives better performance where the overall cost is lower. The implementation also reduces the requirements in terms of device size, pin and power. Similarly in the implementation of high performance DES and Triple DES algorithms are considered by using Virtex™-II and Virtex-E devices. The authors claim that the encryption hardware proposed does not become a bottleneck even for the networks capable of transferring several gigabits per second. A compact and efficient reconfigurable hardware implementation of DES algorithm is presented on a VirtexE XCV400e device. The design provided, establishes a speedup almost 10 times better than the design presented in within less configurable logic block (CLB) slices. In [3] theoretical analysis of DES Algorithm is performed and a new algorithm is proposed to increase the performance. New design of encryption key and substitution boxes (S-box) which are used to obscure the relationship between the key and the cipher text is
Single Channel Speech Source Separation using Complex Matrix Factorization

— Single Channel Speech Source Separation has been a challenging area of research in signal processing. Unlike many conventional methods of speech source separation that utilize information from multiple sensor readings, the problem of single source separation deals with separating sources obtained from only one sensor. Conventional methods of non-negative matrix factorization use only spectral magnitude and ignore spectral phase of the individual sources in the separation process. In this paper, we investigate the process of single channel speech source separation by considering a linear instantaneous model. A novel method of complex matrix factorization (CMF) that decomposes a complex spectrogram matrix into a complex base matrix and a real coefficient matrix is developed. Spectral phase of the sources are therefore incorporated in the process of source separation. The proposed separation method comprises of a learning followed by separation. In learning stage the basis vectors are obtained from the training data of the speakers taken from the corpus and a dictionary is created. In the separation stage, the dictionary is used to estimate the weights through complex matrix factorization in order to separate the sources. Experiments are performed using different mixture signals at various Signal-to-Signal Ratios (SSR) to evaluate the performance of the proposed method. The accuracy of source separation is measured by evaluating the objective measures like Log Likelihood Ratio (LLR) and Weighted Slope Spectral Distance (WSS). The proposed CMF method exhibits reasonably better performance when compared to other NMF methods and its variants available in literature.
User Search History Using Query Clustering for Information Retrieval

- As the size and richness of information on the Web grows, so does the variety and the complexity of tasks that users try to accomplish online. The existing search engines organize such queries only in chronological order. However, when the quires are grouped together based on the relevancy that might be very useful to users as they can reuse queries with ease In this paper, we study the problem of organizing a user’s historical queries into groups in a dynamic and automated fashion. This organization of user search histories can have various real time utilities such as result ranking, query alternations, query suggestions, sessionization and collaborative search. We experimentally study the performance of different techniques, and showcase their potential, especially when combined together.
PERFORMANCE ANALYSIS OF DUAL DIVERSITY RECEIVER OVER CORRELATED a-μ FADING CHANNEL

In this paper fading correlation of α-μ distribution is discussed. Diversity combining techniques are briefly outlined. Correlation coefficient and joint probability density function for alpha-mu fading is shown. Generalized correlation coefficient for two alpha-mu fading variates is defined. Simulation results of outage and Bit Error Rate (BER) for different α and μ parameters and correlation coefficient is shown and performance is discussed.
Congestion Avoidance Routing in Wireless Sensor Networks

sensor nodes consist of group of self organized sensor nodes with limited resources in terms of processing power and battery energy. Wireless sensors are used increasingly in many industrial and consumer applications. Sensors detect events and send via multi hop routing to the sink node for processing the event. The routing path is established through proactive or reactive routing protocols. Congestion happens due to flow of packets exceeding the capacity of link & exceeding the capacity of nodes in terms of Queue Size. Due of congestion packet loss occurs and it affects the quality of application services built on top of sensor network. In this work, we address the congestion from point of reducing the probability of congestion rather than make it to occur and solve it. We propose a NOCO routing protocol which is built on top of AODV and follows reservation based mechanism to avoid congestion and also alleviate the congestion if it happens. KeywordsNetworks, Multi hop routing, Congestion, AODV, NOCO.
Design and Development of an Advanced Authentication Protocol for Mobile Applications using NFC Technology

In this paper, we proposed a new Authentication Protocol for Mobile Applications using NFC technology (AP for MAN). The proposed protocol minimizes the required time to complete the authentication process between the shared entities with a high level of privacy. According to the main security measures, the proposed protocol is evaluated. The current paper presents a new idea for preventing denial of service attack and preserves the limited mobile device capability. The proposed protocol is checked using BAN logic and established that it has no redundancy, the mutual authentication property between the shared parties is verified. The implementation of the proposed protocol shows that it works as designed and it is practical.