Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile robot localization in indoor environment using RFID and sonar fusion system

Localization of indoor environment is a fundamental issue for mobile robot. In this paper, we proposed the localization scheme to fusion the RFID localization system, ultrasonic sensor and wheel encoder. The uncertainty is factor caused by each localization system, and the estimation error is affected by this uncertainty. The sensor system for mobile robot localization is technical limitation such as sensing range, operation feature. Therefore we focus on sensor fusion scheme. When the mobile robot moves, certain data combination set to fuse is selected according to the environmental factor. The performance and simplicity of the approach is demonstrated with the result produced by experiments using mobile robot.
Emotional healthcare system: Emotion detection by facial expressions using Japanese database

Good emotional health is one important point to improve quality of life. On the other hand, bad emotional health can lead to social or mental health problems. To cope with the bad emotional health caused by negative emotions in daily life, we design a healthcare system that focuses on emotional aspects and provides services to improve user emotions. To improve them, we need to recognize their current emotional states. Therefore, our system integrates emotion detection to suggest appropriate services and is designed as a web-based system. While users use the system, facial expressions and speech are detected and analyzed to determine their emotions. When negative emotions are detected, our system suggests that users take a break and provides appropriate services (including relaxation, amusement and excitement services) with augmented reality and Kinect to improve their emotional states. This paper focuses on feature extraction and the classification of emotion detection by facial expressions.
Notice of RetractionGroup prime number labeling scheme for light-weight access control

The existing access control environment relies on the server to solve security problems. The current environment has spawned the need for light-weight access control by clients, which have a resource limited environment. In this paper, an adaptable light-weight access control scheme is proposed for an evolutionary computing environment. Existing studies using role-based prime number labeling are limited by the scalability of the prime number. The problem of scalability of the prime number was addressed with the use of the strong point of role-based prime number labeling and implementation of persistent XML labeling and efficient query processing. The proposal has the advantage of having an adaptable access control scheme for an existing XML labeling method. We showed the efficiency of the proposed approach through experiments.
HIV Protease Inhibitors Stimulate Hepatic Triglyceride Synthesis

Abstract—Hyperlipidemia may complicate the use of HIV protease inhibitors (PIs) in AIDS therapy. To determine the cause of hyperlipidemia, the effect of PIs on lipid metabolism was examined with HepG2 liver cells and AKR/J mice. In HepG2 cells, the PIs ABT-378, nelfinavir, ritonavir, and saquinavir stimulated triglyceride synthesis; ritonavir increased cholesterol synthesis; and amprenavir and indinavir had no effect. Moreover, nelfinavir increased mRNA expression of diacylglycerol acyltransferase and fatty acid synthase. The retinoid X receptor agonist LG100268, but not the antagonist LG100754, further increased PI-stimulated triglyceride synthesis and mRNA expression of fatty acid synthase in vitro. In fed mice, nelfinavir or ritonavir did not affect serum glucose and cholesterol, whereas triglyceride and fatty acids increased 57% to 108%. In fasted mice, ritonavir increased serum glucose by 29%, cholesterol by 40%, and triglyceride by 99%, whereas nelfinavir had no effect, suggesting these PIs have different effects on metabolism. Consistent with the in vitro results, nelfinavir and ritonavir increased triglyceride 2- to 3-fold in fasted mice injected with Triton WR-1339, an inhibitor of triglyceride clearance. We propose that PI-associated hyperlipidemia is due to increased hepatic triglyceride synthesis and suggest that retinoids or meal restriction influences the effects of select PIs on lipid metabolism.
Performance Evaluation of Two Data Mining Techniques of Network Alarms Analysis

In large telecommunication networks, alarms are usually useful for identifying faults and, therefore solving them. However, for large systems the number of alarms produced is so large that the current management systems are overloaded. One way of overcoming this problem is to analyse and interpret these alarms before faults can be located. Two different techniques were developed and setup to reach this goal. In this paper, we study these two approaches and evaluate their performance using data from a live network.
Comparative Analysis of High Speed and Low Area Architectures of Blake SHA-3 Candidate on FPGA

On Nov. 2, 2007, NIST announced a public competition to develop a new cryptographic hash algorithm SHA-3. After long run selection process, five finalists were selected for Round 3. Winner of this competition will be announced later in 2012. Blake is one of the candidates of round three of this competition. Along with the strength of security, efficient hardware implementation is also major evaluation criteria for final selection. Blake algorithm compression function is based on G-Function which executes 8 times in one round. In this paper, different architecture schemes named as 8G, 4G and 1G has been implemented on FPGA, based on serialization of Round Function processes. Optimization is performed by selecting appropriate numbers of LUTs and Slice Registers according to the Virtex 5 Device Architecture Resources. Implementation results of each design are compared with each other and with other design contributions. Full autonomous design for each scheme is implemented on Virtex 5 xc5vlx50t-3 FPGA. Common I/O and control interface is provided to find out the fair comparison results. For tradeoff analysis three design optimization techniques based on 'area', 'speed' and 'balance' designs are used. We found 8G architecture provides the best through-put, 1G provides least area implementation and 4G provides the most efficient results in terms of throughput per area (TPA). 4G design gives Tpa of 2.1. Our design methodology and optimization strategy gives improved results from previous contributions.
Lectin Complement Protein Collectin 11 (CL-K1) and Susceptibility to Urinary Schistosomiasis

Background Urinary Schistosomiasis is a neglected tropical disease endemic in many sub Saharan -African countries. Collectin Kidney 1 (CL-K1, encoded by COLEC11 on chromosome 2p25.3), a member of the vertebrate C-type lectin super family, has recently been identified as pattern-recognition molecule (PRR) of the lectin complement pathway. CL-K1 is preferentially expressed in the kidneys, but also in other organs and it is considered to play a role in host defense to some infectious agents. Schistosome teguments are fucosylated and CL-K1 has, through its collagen-like domain, a high binding affinity to fucose. Methodology/Principal Findings We utilized a Nigerian study group consisting of 167 Schistosoma haematobium infected individuals and 186 matched healthy subjects, and investigated the contribution of CL-K1 deficiency and of COLEC11 polymorphisms to infection phenotype. Higher CL-K1 serum levels were associated with decreased risk of schistosome infection (Pcorr = 0.0004). CL-K1 serum levels were differentially distributed between the COLEC11 genotypes and haplotypes observed. The non-synonymous variant p.R216H was associated with the occurrence of schistosomiasis (OR = 0.44, 95%CI = 0.22–0.72, Pcorr = 0.0004). The reconstructed COLEC11*TCCA haplotypes were associated with higher CL-K1 serum levels (P = 0.002) and with decreased schistosomiasis (OR = 0.38, 95%CI = 0.23–0.63, Pcorr = 0.0001). Conclusions In agreement with findings from our earlier published study, our findings support the observation that CL-K1 and their functional variants may be host factors associated with protection in schistosomiasis and may be a useful marker for further investigations.
Radio Resource Management for Next Generation Wireless Networks (無線通信システム)

—With the rapid growth of wireless industry and related infrastructure, the demand for bandwidth is increasing exponentially and the initial works for designing the next generation (5G) mobile communications which accommodates a higher capacity has started. On the other hand, Energy is becoming a scarce resource and the need to optimize energy consumption in all industries as well as wireless industry is apparent. This paper aims at reviewing these issues by designing energy-efficient RRM modules for 5G heterogeneous networks (HetNet).
Optimizing emergency supply for mass events

In this work we provide an approach for simulating and optimizing the emergency supply in a run-up to a mass event. For a given set of hospitals, transport vehicles and injured suffering from common injuries, our algorithm simulates the workload of provided transport and medication capacities, e.g., doctors. In addition to standard methods, our algorithm considers how a patient's individual waiting time until medication impacts the corresponding course of disease. We use Simulated Annealing with transition probabilities favoring a balanced workload of vehicles and doctors as optimization strategy. We show that using this strategy speeds up convergence and leads to better results compared to Greedy and standard Simulated Annealing with an underlying equal transition probability. Finally, we briefly discuss how different initialization strategies affect the performance of the provided algorithm.
Engel ’ s Law Reconsidered Manisha Chakrabarty

How this statement should be interpreted? Clearly, it refers to income or total expenditure and budget shares for food (food share for short) f r different households in a given population at a given period and not to changing (d ifferent) income of a given household. Food share is sometimes defined as consumption expe nditures in current prices on food items divided by income but also by consumption exp enditure on food divided by ‘total expenditure’ which is defined as expenditures on a well-specified large class of consumption goods and services.
Revisitation analysis of smartphone app use

We present a revisitation analysis of smartphone use to investigate the question: do smartphones induce usage habits? We analysed three months of application launch logs from 165 users in naturalistic settings. Our analysis reveals distinct clusters of applications and users which share similar revisitation patterns. However, we show that much of smartphone usage on a macro-level is very similar to web browsing on desktops, and thus argue that smartphone usage is driven by innate service needs rather than technology characteristics. On the other hand, on a micro-level we identify unique characteristics in smartphone usage, and we present a rudimentary model that accounts for 92% in the variability of our smartphone use.
DSR Optimization in Trusted Multi-Hop Ad Hoc Networks Adopting IEEE 802.11 Technology

Existing DSR researches in a multi-hop ad hoc network usually focus on optimizations like efficient source route caching, link-state-prediction-based route discovery or multi-path communication and so on. This paper presents problems encountered by DSR within an 802.11 scenario, since 802.11 has got widely used as a basic channel access protocol in multi-hop ad hoc networks. One kind of the problems is about route discovery delay and source route availability validation during the DSR route discovery process. And the other is about neighbor probe and update, especially for the next-hop MAC address acquisition and maintenance. For the two kinds of problems, this paper puts forward corresponding optimization solutions in a trusted 802.11 DSR network. Detailed strategies are discussed. And after the simulation scenarios descriptions, optimization effectiveness is demonstrated through testing results.
THEORY OF BUBBLE NOISE , BATH HEIGHT AND ANODE QUALITY

Bubble noise has been the topic of many papers over the years [111], studying the effect upon flow, current efficiency, alumina distribution, bath velocity distribution, over-voltages, frequencies generated, etc. Very few papers have analyzed the relationship between bubble noise and anode quality and between bubble noise and bath height. The paper presents a theory that relates bubble noise to anode quality and bath height, and show that bubble noise decreases when bath height increases and when gas leaks through the anode increases. Gas leak through the anode is related to bath pressure via bath height and to the number and size of cracks in the anode, i.e. anode quality. Measurements confirm the assumptions. The coefficients calculated agree with measurements. The dependence of bubble noise on gas leaks is much less for a prebake pot than for a Søderberg pot because of fewer and smaller cracks and smaller anode size. Bubble noise thus also becomes an indicator of anode quality. The rate of decline with bath height is 2.4-3.6 mV/cm of bath in Søderberg pots and 0.5-1 mV/cm in prebake pots.
Relationship between students satisfaction with the availability of e-resources and infrastructure, staff commitment and students involvement in using the e-resources in colleges

The study attempted to examine the Relationship between Students Satisfaction with the Availability of E-resources and Infrastructure, Staff Commitment and Students Involvement in Using the E-resources in Colleges of Education in Northeastern Nigeria. This is a descriptive correlational study and using questionnaires as the instruments. The study covers 5 colleges of education, and only NCE level 3 students were involved in Northeastern Nigeria, which gives the total population (N) of 439. Out of 439 students' population, 406 were chosen samples and convenient sampling technique. The SPSS version 22 was used to run the analysis. The findings revealed a weak and significant relationship between students' satisfaction with the availability of e-resources and infrastructure in colleges of education (r= .192, p<.05); there is a medium and significant relationship between students satisfaction with the availability of e-resources and staff' commitment in colleges of education (r = .455, p < .05); and there is a medium and significant relationship between students' satisfaction with the availability of e-resources and students' involvement in Colleges of Education (r = .430, p <.05). However, based on the findings of this study, there is a need to improve the students' satisfaction with the availability of e-resources in Colleges of Education in Northeastern Nigeria. Also, the needs to improve the students' satisfaction with the availability of infrastructure, students' satisfaction with the staff commitment and students' involvement in using the e-resources among students in Colleges of Education in Northeastern Nigeria in order to meet up with the needs and demands of the students.
Using the global positioning system to map disturbance patterns of forest harvesting machinery

A method was presented to transform sampled machine positional data obtained from a global positioning system (GPS) receiver into a two-dimensional raster map of number of passes as a function of location. The effect of three sources of error in the transformation process were investigated: path sampling rate (receiver sampling fre - quency); output raster resolution; and GPS receiver errors. Total accuracy of traffic maps across a site (the summed ar - eas receiving one, two, three, etc. passes) was not greatly affected by the error sources. The estimate of number of passes at a specific point, however, was heavily dependent on the presence of errors in the input data. Adding random offsets to each GPS position, for example, resulted in less than a 35% chance that an individual pixel would be classi - fied correctly following transformation when compared with a reference raster. Although the absolute accuracy of the GPS-transformation system was not defined, it was concluded that data derived from applying it could be used to make estimates of total site disturbance and to identify regions of higher or lower disturbance but was less effective when applied in defining number of passes at a given point in a stand. Resume : Les auteurs presentent une methode de traitement de donnees GPS qui permet de convertir un echantillon de points de positionnement d'un equipement forestier, en une couverture matricielle relatant le nombre de passages selon la localisation. L'effet de trois sources d'erreurs dans le processus de transformation a ete etudie : la frequence d'echantillonnage du recepteur, la definition des pixels et l'erreur de reception du GPS. La precision de la cartographie des passages sur un site (sommation des surfaces ayant recu un, deux, trois, … passages) n'est pas significativement affectee par ces sources d'erreurs. Toutefois, l'estimation du nombre de passages en un point specifique est grandement influencee par la presence d'erreurs liees aux donnees sources. L'ajout de points aleatoires a chacune des positions GPS permet, par exemple, de reduire a moins de 35% la probabilite qu'un pixel soit classe correctement suite au traite- ment, comparativement a une reference matricielle. Bien que la precision absolue du systeme « GPS-transformation » n'ait pas ete determinee, les auteurs concluent que l'information extraite par cette methode peut etre utilisee pour esti- mer la perturbation infligee aux sites et identifier les sections de faible et de haute perturbations. La procedure s'est cependant averee moins efficace pour definir le nombre de passages en un point donne, a l'interieur d'un peuplement.
A QoS-aware Dynamic Data Replica Deletion Strategy for Distributed Storage Systems under Cloud Computing Environments

As the underlying core infrastructure and important component of cloud computing, distributed storage system is the foundation of all kinds of cloud services. While its replica mechanism enhanced the reliability and performance of system, the extra block replicas consume more disk space and maintenance cost significantly increased too. In this paper, we propose a novel QoS-aware Dynamic Data Replicas Delete Strategy for disk space and maintenance cost saving purpose. Experimental results demonstrate that the DRDS algorithm can save disk space and maintenance costs for distributed storage system while the available and performance QoS requirements are ensured.
Evolutionary responses of discontinuous gas exchange in insects

The discontinuous gas-exchange cycles (DGCs) observed in many quiescent insects have been a cause of debate for decades, but no consensus on their evolutionary origin or adaptive significance has been achieved. Nevertheless, three main adaptive hypotheses have emerged: (i) the hygric hypothesis suggests that DGCs reduce respiratory water loss; (ii) the chthonic hypothesis suggests that DGCs facilitate gas exchange during environmental hypoxia, hypercapnia, or both; and (iii) the oxidative-damage hypothesis suggests that DGCs minimize oxidative tissue damage. However, most work conducted to date has been based on single-species investigations or nonphylogenetic comparative analyses of few species, despite calls for a strong-inference, phylogenetic approach. Here, we adopt such an approach by using 76 measurements of 40 wild-caught species to examine macrophysiological variation in DGC duration in insects. Potential patterns of trait variation are first identified on the basis of the explicit a priori predictions of each hypothesis, and the best phylogenetic generalized least-squares fit of the candidate models to the data is selected on the basis of Akaike's information criterion. We find a significant positive relationship between DGC duration and habitat temperature and an important interaction between habitat temperature and precipitation. This result supports the hygric hypothesis. We conclude that the DGCs of insects reduce respiratory water loss while ensuring adequate gas exchange.
Watermarking Using the Local Relation of Wavelet Coefficient

In this paper, we proposed the digital watermarking algorithm in the transform domain. The main point of our algorithm is that the embedding system uses the relation of thresholds for watermark insertion. In the first, discrete wavelet transform is involved to calculate energy strength, and then we determined the range for watermark insertion by the priority of interrelation between threshold value of T1, and T2. The experimental results showed that proposed approach is relatively simply but robust against any such attacks.
High-rate vector quantization for detection

We investigate high-rate quantization for various detection and reconstruction loss criteria. A new distortion measure is introduced which accounts for global loss in best attainable binary hypothesis testing performance. The distortion criterion is related to the area under the receiver-operating-characteristic (ROC) curve. Specifically, motivated by Sanov's theorem, we define a performance curve as the trajectory of the pair of optimal asymptotic Type I and Type II error rates of the most powerful Neyman-Pearson test of the hypotheses. The distortion measure is then defined as the difference between the area-under-the-curve (AUC) of the optimal pre-encoded hypothesis test and the AUC of the optimal post-encoded hypothesis test. As compared to many previously introduced distortion measures for decision making, this distortion measure has the advantage of being independent of any detection thresholds or priors on the hypotheses, which are generally difficult to specify in the code design process. A high-resolution Zador-Gersho type of analysis is applied to characterize the point density and the inertial profile associated with the optimal high-rate vector quantizer. The analysis applies to a restricted class of high-rate quantizers that have bounded cells with vanishing volumes. The optimal point density is used to specify a Lloyd-type algorithm which allocates its finest resolution to regions where the gradient of the pre-encoded likelihood ratio has greatest magnitude.
Familiarity and Performance in Geographically Distributed Software Development 1

Familiarity is the knowledge that members of a team have about the unique aspects of their work, which has been found to have a positive effect on team performance. There are different types of familiarity, including task familiarity – gained from past experience performing similar tasks – and team familiarity – acquired by working with each other. While there is evidence suggesting the beneficial effects of familiarity, most of the empirical research on familiarity has focused on labor crews and shortterm experimental teams. More importantly, to the best of our knowledge, prior studies have not investigated the conditions under which familiarity can be more beneficial for performance. The uncertainties, complexities and tightly coupled interdependencies inherent in software development make it a task ideally suited to benefit from familiarity, but this effect is likely to vary for various task and team conditions. In this study we analyze archival data collected from software production sources to investigate the effect of task and team familiarity on performance in collaborative software development and the interaction effects of task – e.g., project size and complexity – and team context factors – e.g., geographic dispersion and team size – on this effect. Our results indicate that both task and team familiarity help reduce software development. We also find that task familiarity improves software development performance more strongly when team familiarity is weak and vice-versa. Finally, we found that the effect of team familiarity is stronger with larger and geographically dispersed teams.