nils-herrmann/clean_scirepeval huggingface dataset:
Joint Admission Control, Mode Selection, and Power Allocation in D2D Communication Systems
Venue: IEEE Transactions on Vehicular Technology

Device to device (D2D) communications can help in achieving the higher data rate targets in emerging wireless networks. The use of D2D communication imposes certain challenges such as interference with the cellular and D2D users. A well designed joint admission control, network mode selection, and power allocation technique in a cellular network with D2D capability can improve overall throughput. The proposed technique jointly maximizes the total throughput and number of admitted users in cellular networks under quality of service (QoS) and interference constraints. The joint admission control, mode selection, and power allocation problem (JACMSPA) falls into a class of mixed integer nonlinear constraint optimization problems that are generally NP hard. Due to the combinatorial nature of the problem, its optimal solution needs exhaustive search of integer variables whose complexity increases exponentially with the number of user pairs. In this paper, we invoke outer approximation approach (OAA) based linearization technique to solve the JACMSPA. The proposed method gives guaranteed e optimal solution with reasonable computational complexity. Simulation results verify the effectiveness of the proposed approach method.
A survey of communication technologies for smart grid connectivity
Venue: 2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube)

The traditional electric power system is examining a transformation process to an intelligent, efficient, and cost effective smart grid (SG) system. The SG has different subsystems for its accurate functionality. Among these subsystems, the communication subsystem plays a vital role for real time data sharing between devices and systems connected in SG domain. In this paper, a survey of smart communication subsystem is provided and several communication technologies that have strong potential for implementation in future SG applications by electric utility companies are discussed. The advantages and disadvantages of each communication technology in the SG domain are also presented. Finally, a hybrid communication model is suggested for reliable communication between smart meters and control system in the SG.
Non coherent PSK based dual function radar communication systems
Venue: 2016 IEEE Radar Conference (RadarConf)

Dual function radar communication (DFRC) systems enable information embedding into the radar signal emission. Existing methods for non coherent phase modulation DFRC employ multiple pairs of orthogonal waveforms and embed one communication symbol into each pair. The total number of symbols is equal to one half of the number of waveforms. In this paper, we propose a new signaling strategy for embedding a higher number of communication symbols. The proposed method implements non coherent phase shift keying (PSK) by employing one of the orthogonal waveforms as a common reference and modulating the information in terms of the phase differences between all other waveforms and the reference waveform. The number of communication symbols that can be embedded equals the total number of waveforms minus one. We introduce two schemes for achieving a desired phase constellation. The proposed approach is shown to achieve a two fold increase in the data rate compared to existing methods for a large number of waveforms.
Design of a visible light communication system for deep sea divers based on analogue frequency modulation
Venue: 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

This paper presents the design, development and test of an underwater visible light communication system for the deep sea divers. To achieve a practical communication range, frequency modulation technique has been utilized to modulate the voice signal which is eventually transmitted using visible light. Blue and green light emitting diodes have been chosen to design a full duplex system for simultaneous communication. The proposed system achieved a bidirectional communication range of approximately 3.5 m using off the shelf components and without using any optical concentrator.
Microring resonator for transmission of solitons via wired/wireless optical communication

A system of soliton array (SA) for optical communication using the wired/wireless link is presented. Gaussian laser beam with relevant parameters is input into the rings system. Here, bright soliton with Full Width at Half Maximum (FWHM) and Free Specrum Range (FSR) of 120 ps and 370 ps are generated respectively. We demonstrate that SA can be obtained by a series of micro ring resonators with input optical laser pulse. A PIN photodetector with responsivity of 1 A/W and dark current of 10 nA is used to convert the optical pulses to array of radio frequency (RF) Here, transmission of SA via 70 km fiber optics and 25 m wireless has been investigated.
Jigsaw Type of Cooperative Learning as a Means of Improving High School Students' Mathematical Communication Ability

The mathematical communication is the basic ability which must be possessed by mathematics practitioners and users during teaching learning process and assessing mathematics. By using Jigsaw technique as a part of cooperative learning, this technique considers students to work interdependently in a group of four to six but at the same time have individual responsibility. Every group is responsible for the mastery of the learning material. The aim of this research, however, was to examine the quality of mathematical communication ability between students who were treated with cooperative learning model and those with conventional model. The population of this study were second grade students of SMUN Banyumas in the academic year 2005/2006. Two classes were taken as sample, each of them had thirty students. Data were collected by means of communication ability test that had satistactory face and content validity and had reliability of 0.5335 (high reliability) Based on analisys result using t test, it was concluded that the cooperative learning model gave better result to the students communication ability than the conventional one.  jigsaw, cooperative learning model, conventional learning model, mathematical communication ability.  in Central Java, Indonesia. They can be reached at: ahmadump@yahoo.co.id and jazuli_akhmad@yahoo.com How to cite this article? Ahmad Akhmad Jazuli. (2009) "Jigsaw Type of Cooperative Learning as a Means of Improving High School Students' Mathematical Communication Ability"  February, pp.207 218. Bandung, Indonesia: Minda Masagi Press owned by ASPENSI in Bandung, West Java; and FKIP UMP in Purwokerto, Central Java, ISSN 1979 7877. Chronicle of the article: Accepted (December 3, 2008) Revised ( 2009) and Published (February 17, 2009)
Designite: a software design quality assessment tool
Venue: BRIDGE '16

Poor design quality and huge technical debt are common issues perceived in real life software projects. Design smells are indicators of poor design quality and the volume of design smells found could be treated as the design debt of the software system. The existing smell detection tools focus largely on implementation smells and do not reveal a comprehensive set of smells that arise at design level. In this paper, we present Designite a software design quality assessment tool. It not only supports comprehensive design smells detection but also provides a detailed metrics analysis. Further, it offers various features to help identify issues contributing to design debt and improve the design quality of the analyzed software system.
Usability guideline for banking software design
Venue: Comput. Hum. Behav.

As the diversity of services in the financial market increases, it is critical to design usable banking software in order to overcome the complex structure of the system. The current study presents a usability guideline based on heuristics and their corresponding criteria that could be used during the early stages of banking software design process. In the design of a usability guideline, the heuristics and their criteria are categorized in terms of their effectiveness in solving usability problems grouped and ranging from usability catastrophe to cosmetic problems. The current study comprises of three main steps: First, actual usability problems from three banking software development projects are categorized according to their severity level. Secondly, usability criteria are rated for how well they explain the usability problems encountered. Finally, usability heuristics are categorized according to the severity level of usability problems through two analytical models; corresponding and cluster analyses. As the result, designers and project managers may give more importance to the heuristics related with the following usability problem categories: Usability catastrophe and then major usability problems. Furthermore, the proposed guideline can be used to understand which usability criteria would be helpful in explaining usability problems as well as preventing banking system catastrophes, by highlighting the critical parts in system design of banking software. A usability guideline is developed for the early stages of banking software design.Actual usability problems from three banking software development projects are used.The heuristics are categorized in solving usability problems.Designers may notice first to the heuristics related with usability catastrophe.
Fractal features of soil particle size distribution in layered sediments behind two check dams: Implications for the Loess Plateau, China

The layered sediment deposited behind a check dam can provide useful information about soil erosion processes in the dam controlled area. This study aims to evaluate the possible fractal nature of layered sediments behind check dams, assessing whether fractal dimension can serve as a feasible index for evaluating the impact of land use types on the area controlled by the check dam. Fractal dimension measurement was employed to analyze the features of soil particle size distribution (PSD) for different layered sediments of the Shipanmao and Zhangshan check dams in the Dalihe River Basin of the Loess Plateau, China. Results show that the predominant soil particle sizes of the sediment layers behind the Shipanmao and Zhangshan dams are silt clay CV for the coarse sand fraction is highest, followed by the fine sand and the silt clay size fractions. Larger soil particle sizes coincide with larger CV values. The fractal dimension D m of the PSD ranges from 2.111 to 2.219, and 2.144 to 2.447 for Shipanmao and Zhangshan, respectively. The D m values tend to increase and decrease for the layered sediments from top to bottom with some turning points. The turning points of D m are related to the trends of the soil PSDs in the adjacent sediment layers. Although D m has significant positive and negative correlations with the silt clay and the fine sand size fractions, respectively, no correlation with the coarse sand fraction was observed. Soil PSD is a more dominant factor affecting D m than the time lag between soil erosion and sediment deposition. Overall, D m decreased for Shipanmao during the deposition period (1972 1979) The total increment of the C factor in the universal soil loss equation and the soil erosion amount per rainfall erosivity were applied to analyze land use changes between 1972 and 1979 for the dam controlled area of the Shipanmao dam. The total increment of C during 1972 1979 was 0.021 and the soil erosion amount per rainfall erosivity was smaller in 1972 than in 1979, indicating desertification in the dam controlled area. In addition, the land use types prevalent in 1979 were more prone to soil loss than those in 1972. D m is a useful parameter to assess land use types and soil degradation processes in dam controlled areas of the Loess Plateau.
Faderank: An Incremental Algorithm for Ranking Twitter Users
Venue: WISE

User reputation is a crucial indicator in social networks, where it is exploited to promote authoritative content and to marginalize spammers. To be accurate, reputation must be updated periodically, taking into account the whole historical data of user activity. In big social networks like Twitter and Facebook, these updates would require to process a huge amount of historical data, and therefore pose serious performance issues. We address these issues in the context of Twitter, by studying a technique which can update user reputation in constant time. This is obtained by using an arbitrary ranking algorithm to compute user reputation in the most recent time window, and by combining it with a summary of historical data. Experimental evaluation on large datasets show that our technique improves the performance of existing ranking algorithms, at the cost of a negligible degradation of their precision.
Seasonal and annual variation in the diet of brown bears Ursus arctos in the boreal forest of southcentral Sweden
Venue: Wildlife Biology

Understanding a species' feeding ecology is essential for successful management and conservation, because food abundance can influence body mass, survival, reproductive success, movements, and habitat use. We describe annual and seasonal variations in the diet of brown bears Ursus arctos in southcentral Sweden, based on analysis of 527 fecal samples from 1994 1996 and 2000 2001. There was distinct seasonal variation in most of the 26 food items we documented. Ungulates, predominantly moose Alces alces, and insects comprised most of the estimated dietary energy content in spring and summer. Insects were represented almost entirely by ants, of which Formica spp. and Camponotus herculeanus were the most common. During autumn, berries dominated the diet. The most important berry species were bilberry Vaccinium myrtillus, crowberry Empetrum hermaphoditum and lingonberry V. vitis idaea. We determined berry availability by inventorying 308 random plots three times for two consecutive years. These three berries occurred with great spatial, seasonal and annual variation in abundance. The bears showed the strongest positive preference for bilberries, a lesser positive preference for crowberries, but no preference for lingonberries. The proportion of berries in the autmn diet was stable between years, but the relative importance of the species changed, indicating that bears switched to crowberries when bilberries were less abundant. The effects of predicted future climatic change might have severe effects on the availability of the berries, which is the only important food available for fat acquisition prior to hibernation.
Impacts of Human Recreation on Brown Bears (Ursus arctos) A Review and New Management Tool
Venue: PloS one

Increased popularity of recreational activities in natural areas has led to the need to better understand their impacts on wildlife. The majority of research conducted to date has focused on behavioral effects from individual recreations, thus there is a limited understanding of the potential for population level or cumulative effects. Brown bears (Ursus arctos) are the focus of a growing wildlife viewing industry and are found in habitats frequented by recreationists. Managers face difficult decisions in balancing recreational opportunities with habitat protection for wildlife. Here, we integrate results from empirical studies with expert knowledge to better understand the potential population level effects of recreational activities on brown bears. We conducted a literature review and Delphi survey of brown bear experts to better understand the frequencies and types of recreations occurring in bear habitats and their potential effects, and to identify management solutions and research needs. We then developed a Bayesian network model that allows managers to estimate the potential effects of recreational management decisions in bear habitats. A higher proportion of individual brown bears in coastal habitats were exposed to recreation, including photography and bear viewing than bears in interior habitats where camping and hiking were more common. Our results suggest that the primary mechanism by which recreation may impact brown bears is through temporal and spatial displacement with associated increases in energetic costs and declines in nutritional intake. Killings in defense of life and property were found to be minimally associated with recreation in Alaska, but are important considerations in population management. Regulating recreation to occur predictably in space and time and limiting recreation in habitats with concentrated food resources reduces impacts on food intake and may thereby, reduce impacts on reproduction and survival. Our results suggest that decisions managers make about regulating recreational activities in time and space have important consequences for bear populations. The Bayesian network model developed here provides a new tool for managers to balance demands of multiple recreational activities while supporting healthy bear populations.
Sufficient conditions for determinacy in a class of Markov switching rational expectations models

Markov switching rational expectations (MSRE) models can bring out fresh insights beyond what linear rational expectations models have done for macroeconomics, as noted and predicted by Davig and Leeper (2007) and Farmer, Waggoner and Zha (2009) among others. However, a lack of tractable methodological foundations may have hindered researchers from uncovering the salient features of MSRE models. This study proposes a solution method and derives very tractable sufficient conditions for determinacy and indeterminacy in the mean square stability sense in general MSRE models with lagged endogenous variables. These tasks are accomplished by extending the forward method of Cho and Moreno (2011) developed for linear rational expectations models to MSRE. We apply our methodology to a New Keynesian model subject to regime switching in monetary policy and find some unforeseen but intuitive determinacy results.
Transparency and Reproducibility of Observational Cohort Studies Using Large Healthcare Databases.
Venue: Clinical pharmacology and therapeutics

The scientific community and decision makers are increasingly concerned about transparency and reproducibility of epidemiologic studies using longitudinal healthcare databases. We explored the extent to which published pharmacoepidemiologic studies using commercially available databases could be reproduced by other investigators. We identified a nonsystematic sample of 38 descriptive or comparative safety/effectiveness cohort studies. Seven studies were excluded from reproduction, five because of violation of fundamental design principles, and two because of grossly inadequate reporting. In the remaining studies, >1,000 patient characteristics and measures of association were reproduced with a high degree of accuracy (median differences between original and reproduction <2% and <0.1) An essential component of transparent and reproducible research with healthcare databases is more complete reporting of study implementation. Once reproducibility is achieved, the conversation can be elevated to assess whether suboptimal design choices led to avoidable bias and whether findings are replicable in other data sources.
Unsupervised feature selection technique based on genetic algorithm for improving the Text Clustering
Venue: 2016 7th International Conference on Computer Science and Information Technology (CSIT)

The increasing amount of text documents in digital forms affect the text analysis techniques. Text clustering (TC) is one of the important techniques used for showing a massive amount of text documents by clusters. Hence, the main problem that affects the text clustering technique is the presence sparse and uninformative features on the text documents. The feature selection (FS) is an essential unsupervised learning technique. This technique is used to select informative features to improve the performance of text clustering algorithm. Recently, the meta heuristic algorithms are successfully applied to solve several hard optimization problems. In this paper, we proposed the genetic algorithm (GA) to solve the unsupervised feature selection problem, namely, (FSGATC) This method is used to create a new subset of informative features in order to obtain more accurate clusters. Experiments were conducted using four benchmark text datasets with variant characteristics. The results showed that the proposed FSGATC is improved the performance of the text clustering algorithm and got better results compared with k mean clustering standalone. Finally, the proposed method "FSGATC" evaluated by F measure and Accuracy, which are common measures used in the domain of text clustering.
Social attention in ASD: A review and meta analysis of eye tracking studies.
Venue: Research in developmental disabilities

Determining whether social attention is reduced in Autism Spectrum Disorder (ASD) and what factors influence social attention is important to our theoretical understanding of developmental trajectories of ASD and to designing targeted interventions for ASD. This meta analysis examines data from 38 articles that used eye tracking methods to compare individuals with ASD and TD controls. In this paper, the impact of eight factors on the size of the effect for the difference in social attention between these two groups are evaluated: age, non verbal IQ matching, verbal IQ matching, motion, social content, ecological validity, audio input and attention bids. Results show that individuals with ASD spend less time attending to social stimuli than typically developing (TD) controls, with a mean effect size of 0.55. Social attention in ASD was most impacted when stimuli had a high social content (showed more than one person) This meta analysis provides an opportunity to survey the eye tracking research on social attention in ASD and to outline potential future research directions, more specifically research of social attention in the context of stimuli with high social content.
Optimization of the Production Process of Soft Cheese from Camel Milk Using Linear Programming Technique

It is widely reported that processing camel milk into cheese is a difficult one. In this study, soft white cheese was prepared using conventional cheese making methodology. A three way full factorial experimental design was employed taking cheese yield, fat content, moisture content and sensory quality of cheese as response variables and Total solid of milk, fat content and amount of coagulant (each at 2 levels) as the input variables. A linear programming technique was used to optimize the manufacturing process. Experimental results showed that, the average pH value of the whole milk is determined to be 6.65, titratable acidity 0.17 and specific gravity 1.029. The chemical analyses of whole camel milk on the other hand showed that, the average value of total solid is 10.55% fat 3.6% protein 2.49% ash 0.79% and Lactose 3.64% Finally, the optimization result suggested that soft cheese of an acceptable quality and an adjusted cheese yield of 14.57% could be produced by adjusting the fat content of camel milk to 1.82% total solid level to 14% and using rennet powder at a ratio of 1.5mg (100g) 1  Camel milk, Soft cheese, Coagulant, Linear programming.