Miracle-dz/UniFAR-FTUs huggingface dataset:
OPC-MFuzzer: A Novel Multi-Layers Vulnerability Detection Tool for OPC Protocol Based on Fuzzing Technology

With the rapid development of information and Industrial Technology, as the common data accessing interface for data provider, OPC technology is more and more widely deployed in the acquiring and sharing of production data. Yet, traditional OPC technology usually runs in the closed environment, always ignoring security defense, will cause serious consequence under malicious attack. For the complexity structure of OPC, with the feature of underlying layers like DCOM and RPC, which provide basic network service for upper layer, act as the critical causes for the faults of OPC protocol, unfortunately cannot be tested for vulnerability directly with traditional Fuzzer. In this paper, a vulnerability detecting tool for OPC protocol based on Fuzzing technology named OPC-MFuzzer is proposed and implemented; three different test case generating mechanisms for the testing of OPC, DCOM and RPC are developed separately. Finally three commercial OPC servers are selected for the experiment of vulnerability testing. The result shows that some vulnerability can be tested with the tool proposed, which prove the effective of such tool.
Bangla Handwritten Character Recognition Using Local Binary Pattern and Its Variants

Optical Character Recognition (OCR) especially for handwritten characters is an important task for its numerous applications in daily life including data digitizing, robotics vision, helping visually disabled people and many more. However, Bangla Handwritten Character Recognition (HCR) is rarely explored despite Bangla being one of the mostly spoken languages over the world. For classifying Bangla basic characters, compound characters and digits various feature descriptors and classification algorithms can be used. This paper provides a comparative study of different Local Binary Pattern (LBP) based feature descriptors on Bangla basic characters, compound characters and digits. For classification, Support Vector Machine (SVM) with linear kernel is used. The rigorous experiments on CMATERdb 3.1. 2, CMATERdb 3.1. 3.1 and CMATERdb 3.1. 1 datasets for Bangla basic characters, Bangla compound characters and Bangla digits respectively have showed reasonable accuracies of different LBP based feature descriptors.
Structural monitoring for the evaluation of the dynamic response of historical monuments

The paper illustrates the application of the structural monitoring for the evaluation of the dynamic behaviour of two monuments, the stone tomb of Cansignorio della Scala in Verona, Italy, and the Qutb Minar in Delhi, India. Both systems have been conceived to acquire ambient vibrations, to evaluate the dynamic response of the monuments, and for the recording of seismic events. The control of the dynamic behaviour is related to the local environmental conditions. In addition, a limited number of displacement transducers are placed across the most significant cracks of the monuments, to evaluate the possible damage evolution. The stone tomb of Cansignorio della Scala is part of a monumental funerary complex in gothic style located in the centre of Verona. The Qutb minar, 72.5 m tall, located in the city centre of New Delhi, is particularly sensitive to wind actions, therefore an anemometer was placed on the top of the tower. The evaluation of the results of the monitoring will permit to detect possible variations in the assessed structural functioning. The final goal is to obtain, through the experimental calibration, detailed FE structural models to simulate the response of the monuments to different external actions, assessing their safety state.
Who’s autonomous now?

«. society – as distinct from any plurality of individuals – is an abstract and, as such, is subject to our definition, while the individual is the primary concrete, prior to all definition, and his basic good is more or less known. Thus the unknown in our problem is the so-called common or public good and its potentially superior claims, to which the individual good must or might sometimes be sacrificed . » Hans Jonas 1969 [1]
An Innovative SVM for Wheat Seed Quality Estimation

As a popular leaning algorithm, Support Vector Machine (SVM) have been utilized to solve the problem of data mining and knowledge discovery. However, as far as some unbalanced data sets of multi-group are concerned, the classifler model trained by C-SVM always presents some imbalanced error-rates on separating samples. Based on analysis of Lagrange multiplier, the paper brings forward some novelty concepts including the outer boundary of group, Misleading-SV, prediction-error-rate, etc. An innovative SVM based on C-correction is formulated and a method for correcting slack constant C is designed. On the target of winter wheat seed geometric feature evaluation for quality gradation, the research team constructs some testing experiments for method validation. Analysis of accuracy contour suggests the proposal scheme is able to efiectively separate seeds by their geometric property at an accuracy of 96.5%. In parallel with some known congeneric algorithms, contrast results evidences that as the data set with sparse samples is considered, the method for correcting slack constant can elevate the general separation precision of classifler prominently.
Metal Target Spall Fracture under Nanosecond and Sub-Nanosecond Electron Irradiation 1

1 The work was supported by the Russian Foundation for Basic Research, Project No. 09-08-00521-a. Abstract – Mathematical model of metal fracture at high rate deformation is described and tested using published experimental data on spall fracture initiated by the shock-wave loading. Fracture is treated through the kinetics of micro-cracks. Spall fracture of copper and aluminum under the action of nanosecond and sub-nanosecond electron irradiation has been numerically investigated. Spall fracture possibility of the front target surface is shown for sub-nanosecond irradiation regimes; it takes place at the enclosed energy density slightly below the value sufficient for irradiated substance melting.
Zinc Application Methods Affect Agronomy Traits and Grain Micronutrients in Bread and Durum Wheat under Zinc-Deficient Calcareous Soil

Zn deficiency is a worldwide nutritional constraint in crop production particularly in cereals growing calcareous soils. In order to study the effect of different zinc-sulfate application methods on grain yield, agronomy traits and grain micronutrients of wheat, a pot experiment was carried out in a calcareous soil in factorial experiment at randomized complete block design (RCBD) with 30 treatments (6 Zn application methods, and 5 wheat genotypes) in four replications. Treatments were the first factor included six levels of applied Zn were (1) control (non Zn application), (2) soil application (5 mg Zn kg soil), (3) seed application (3% (w/v) Zn for 1 kg seed), (4) foliar application at stem elongation and early grain filling stages (zinc sulfate was sprayed at a rate of 0.44 g Zn l, (5) seed spray + foliar (combination of methods 3 and 4) and (6) soil + foliar (combination of methods 2 and 4), and also the second factor was five wheat genotypes including two spring bread wheat (‘Pishtaz’ and ‘Sivand’) and three spring durum wheat (‘Diyarbakır-81’, ‘Bisu-1’ and line ‘45558’). Both soil and foliar Zinc application methods could improve yield and grain Zn concentration; however, generally bread wheat had the better agronomic traits, grain yield as well as Zn, Fe, Cu and Mn concentrations in grain compared with durum wheat. The foliar Zn application was more effective in increasing Zn, Fe, Mn and ascorbic acid concentrations in grain. Different Zn treatments methods significantly increased Zn concentration and decreased phytate content of the wheat grain, as well as decreased grain phytate/Zn molar ratios. Thus, it seems that soil and foliar Zn application would improve the quantity and quality of the wheat yield in Zndeficient soils. Therefore, fertilizer strategy (e.g., agronomic biofortification) appears as short-term solution to alleviate malnutrition problem.
Malaria, Oromia Regional State, Ethiopia, 2001–2006

1. Chen HT. A new pulmonary nematode of rats, Pulmonema cantonensis ng, nsp from Canton [in French]. Ann Parasitol. 1935;13:312–7. 2. Wang QP, Lai DH, Zhu XQ, Chen XG, Lun ZR. Human angiostrongyliasis. Lancet Infect Dis. 2008;8:621–30. doi:10.1016/ S1473-3099(08)70229-9 3. Zhang RL, Chen MX, Gao ST, Geng YJ, Huang DN, Liu JP, et al. Enzootic angiostrongyliasis in Shenzhen, China. Emerg Infect Dis. 2008;14:1955–6. doi:10.3201/ eid1412.080695 4. Zhou P, Chen N, Zhang RL, Lin RQ, Zhu XQ. Food-borne parasitic zoonoses in China: perspective for control. Trends Parasitol. 2008;24:190–6. doi:10.1016/j. pt.2008. 01.001 5. Zhang Y, Lv S, Yang K, Liu H-X, Hu L, Li LS, et al. The fi rst national survey on natural nidi of Angiostrongylus cantonensis in China [in Chinese]. Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi. 2009;27:508–12. 6. Deng ZH, Cai JS, Lin RX. The fi rst local outbreak of Angiostrongylus cantonensis infection in Guangdong Province. S China J Prev Med. 2007;4:17–20. 7. Lindo JF, Waugh C, Hall J, Cunningham Myrie C, Ashley D, Eberhard ML, et al. Enzootic Angiostrongylus cantonensis in rats and snails after an outbreak of human eosinophilic meningitis, Jamaica. Emerg Infect Dis. 2002;8:324–6. doi:10.3201/ eid0803.010316 8. Deng ZH, Zhang QM, Lin RX, Huang SY, Zhang Y, Lv S, et al. Survey on the focus of angiostrongyliasis in Guangdong Province [in Chinese]. Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi. 2010;28:12–6. 9. Zhang Y, Huang D, Ding X, Chen DX, Zhan X-M. Investigation on the source of angiostrongyliasis in Luoding City, Guangdong Province [in Chinese]. Chinese Journal of Zoonoses. 2009;1:87–91. 10. Meng J-X, Zhan X-M, Cheng M, Liang Y, Li S-L, Gan M, et al. Analysis of a survey on the infection of Achatina fulica with Angiostrongylus cantonensis in Guangzhow, Guangdong Province [in Chinese]. Chinese Journal of Zoonoses. 2007;2:191–4.
Influence of HRM Practices on Employee Job Satisfaction: Evidence from Private Commercial Banks in Bangladesh

The purpose of the study is to investigate the influence of HRM practices on employees’ job satisfaction. To conduct this research, 80 respondents from 20 private commercial banks of Sylhet region of Bangladesh were surveyed conveniently through a structured questionnaire; then the responses were analyzed by conducting a test of hypothesis, correlation and regression analysis using SPSS software. Correlation analysis reveals that HRM practices have a significant relationship with job satisfaction, besides regression analysis shows that the five factors of HRM practices depicted in the model explains about 57.3 percent of job satisfaction among the bank employees and have a positive influence on their job satisfaction. It has also been found that work-life balance practices (WLBP), compensation and reward (CNR), recruitment and selection (RNS) have the most influence on job satisfaction (JS). Thus findings of this study will provide new insights to the bank managers about the way to ensure job satisfaction of employees and thereby to boost their commitment and performance.
Privacy-preserving entity resolution and logistic regression on encrypted data

We consider a scenario of two data providers, A and B, each of whom manage a dataset of private information consisting of two different feature sets related to common customers/entities. They jointly aim to learn a linear model using stochastic gradient algorithms like SGD/SAG (Schmidt et al., 2013). The setting is federated learning (Konecný et al., 2016), where data is kept locally and a shared model is learned on top of local computation. Notice that, in contrast with the large majority of work on distributed learning, in our scenario data is split vertically, i.e. by features. We also assume that only A knows the target variable.
An Evaluation of Classification Accuracy in a Multilayer Perceptron

In data mining, there are a number of algorithms for classification, association rule, clustering and regression. In this article, we classify the data sets into each instance by a Multilayer Perceptron (MLP), which is one of artificial neural networks. The algorithm precisely classifies the data sets as an instance. We evaluate the classification accuracies by changing various hidden layers in the MLP. Also we compare the classification accuracies by the MLP and the other classifiers.
Drinking Water Quality in Chronic Kidney Disease of Unknown Aetiology ( CKDu ) Prevalent and Non-prevalent Areas in Giradurukotte , Sri Lanka

Chronic Kidney Disease of unknown aetiology (CKDu) is increasing at an alarming rate in dry zone of Sri Lanka, and Giradurukotte is one of the endemic regions with CKDu located in Uva province. Based on observations of past research, there is strong evidence that CKDu has a profound relationship with drinking water quality. Therefore, this study was aimed to compare the drinking water quality of CKDu prevalent and non-prevalent areas. Thirty two drinking water samples were selected representing CKDu prevalent and non-prevalent communities in Giradurukotte. Water quality parameters such as pH, electrical conductivity (EC), total dissolved solids (TDS), calcium, magnesium, sodium, potassium, chloride and fluoride were analysed once a month during May to July 2015. ANOVA procedure was performed with split plot design to compare the water quality parameters in CKDu prevalent and nonprevalent communities using SAS software. A significant difference was observed in groundwater samples in CKDu prevalence and nonprevalence areas (p<0.05) for pH, EC, TDS, K, Cl and Ca. Highest K and Cl content were recorded in CKDu prevalent areas, while highest pH, EC, TDS and Ca content were recorded in nonprevalent areas. Based on all the measured water quality parameters in the study area 75% and 25% of groundwater bodies were identified as suitable and doubtful, whereas all the natural surface water bodies were identified as suitable for drinking purpose respectively. It can be concluded that majority of the water quality parameters did not exceed the SLS drinking water quality standards. Keywords—Kidney disease, Drinking water quality, Groundwater, Surface water.
Possible Role of Eolian Sediment in the Genesis of Bouldery Debris-Flow Deposits on the Lower Flanks of Ute Mountain , Northern Taos Plateau Volcanic Field , New Mexico

Runoff produced by high-intensity rainfall events on steep slopes in alpine to semiarid areas of the western United States locally generates stream flows, hyperconcentrated flows, and debris flows (for example, Meyer and Wells, 1997; Cannon, 2001; Godt and Coe, 2007). The flow properties of these water-sediment mixtures vary chiefly with sediment concentration, size, and sorting (Costa, 1984; Pierson and Costa, 1987). Stream flows are fully turbulent Newtonian flows (water-sediment mixtures) that exhibit flow behavior unaffected by the low concentration of sediment in transport (Meyer and Wells, 1997; Pierson and Costa, 1987). Hyperconcentrated flows are non-Newtonian flows that appear to flow like a liquid but exhibit low yield strength (resistance to flow) and dampened turbulence, owing chiefly to abundant sediment in transport (Pierson and Costa, 1987). Sediment transported by both stream flow and hyperconcentrated flow moves as separate components carried in suspension by fluid lift and in traction by fluid drag (Costa, 1984), and it can be selectively deposited as a result of decrease in velocity or flow depth (Bull, 1972). Stream-flow deposits commonly are poorly to well sorted, clast supported, and crudely stratified (for example, Meyer and Wells, 1997). Hyperconcentrated-flow deposits have sorting and bedding characteristics intermediate between those of stream-flow and debris-flow deposits (for examples, Pierson and Costa, 1987; Meyer and Wells, 1997), and they commonly consist of poorly sorted granules to boulders in an abundant sandy matrix low in siltand clay-sized particles (Meyer and Wells, 1997; Cannon, 2001). Debris flows, in contrast, are non-Newtonian flows composed of intergranular fluid and high concentrations of sediment that move as a single phase and exhibit considerable yield strength. They can travel long distances on low slopes and do not separate into solid and liquid phases at the time of deposition (Costa, 1984). Debris-flow deposits commonly are unsorted to very poorly sorted and matrix supported, and they lack internal stratification (for example, Meyer and Wells, 1997).
Evaluation of Tea Extract as an Inhibitor of Oxidative Stress in Prostate Cells

Oxidative DNA damage is caused by free radicals eroding the cell membrane and directly attacking DNA molecules in the cell. This DNA damage plays an important role in the development of cancer. Antioxidants remove free radical intermediates, thereby preventing cell membrane erosion and subsequent DNA damage. Tea leaves are rich in antioxidants, and studies conducted on green tea have reported numerous health benefits; however, those studies left out other types of tea. We evaluated the ability of various tea extracts to protect prostate cells from hydrogen peroxide induced oxidative damage. Cells were treated with black, oolong, green, and white tea extracts and then exposed to hydrogen peroxide for two days, followed by a quantification of viable cells using an MTS assay. Because treatment with white tea extract yielded the greatest cell viability, we hypothesized that an abundant antioxidant in white tea, epigallocatechin-3-gallate (EGCG), might also protect cells from oxidative stress. We found that, indeed, pre-treatment of prostate cells with 50 mg/mL EGCG led to a significant increase in cell viability when compared to the control group (fold change of 2.90), based on MTS assay absorbance. These data suggest that antioxidants in white tea extract, including EGCG, protect prostate cells from oxidative stress in culture, which is suggestive of the health benefits of white tea.
Introducing a new idea of Routing via Novel Clustering Strategy for AdHoc Networks

Routing in wireless mobile adhoc networks should be time efficient and resource saving. One approach to reduce traffic during the routing process is, to divide the network into clusters. Until now, there have been several approaches on cluster-based routing. We propose a voting based clustering strategy to form network with spatial and temporal stability. The selection of cluster head and cluster size is done in a very efficient manner. We present algorithms for creation of clusters and their maintenance in presence of various network events. Our strategy outperforms existing and conventional clustering approaches in terms of number of hops required, at a little cost of overhead during topology updates. The strategy performs very well when density of nodes is very high. We have simulated the model in matlab to check the expected results.
Broadcasting News Feature Extraction Search Keyword Noise Reduction Speech / Audio Classification Utterance Verification

This article introduces several research topics related to the keyword spotting-based article retrieval system in broadcast news data. The system searches for the keyword speech from online broadcast news and retrieves all articles in which the corresponding keyword is spoken. For stable performance, various techniques are adopted including: utterance verification, out-of-vocabulary rejection, audio classification, and noise reduction. This article surveys several useful methods for the techniques and reports some experimental results. And then, several future works are addressed.
Practical Design Space Exploration 1

Multi-objective optimization is a crucial matter in computer systems design space exploration because real-world applications often rely on a trade-off between several objectives. Derivatives are usually not available or impractical to compute and the feasibility of an experiment can not always be determined in advance. These problems are particularly difficult when the feasible region is relatively small, and it may be prohibitive to even find a feasible experiment, let alone an optimal one. We introduce a new methodology and corresponding software framework, ParetoDaemon, which handles multi-objective optimization, unknown feasibility constraints, and categorical/ordinal variables. This new methodology also supports injection of user prior knowledge in the search when available. All of these features are common requirements in computer systems but rarely exposed in existing design space exploration systems. The proposed methodology follows a white-box model which is simple to understand and interpret (unlike, for example, neural networks) and can be used by the user to better understand the results of the automatic search. We apply and evaluate the new methodology to automatic static tuning of hardware accelerators within the recently introduced Spatial programming language, with minimization of design run-time and compute logic under the constraint of the design fitting in a target field programmable gate array chip. Our results show that ParetoDaemon provides better Pareto fronts compared to state-of-the-art baselines, with better or competitive hypervolume indicator and with 8x improvement in sampling budget for most of the benchmarks explored.
Brand Expansion vs. Strong Consumer Relationships

Brand transgressions are defined as violations of the norms defined by the relationship between the brand and its consumers. In other words, it is when a brand takes an action that goes against what they promised their consumers, or what the consumers expected, based on the repeated interactions between the brand and the consumers. When brands are highly adopted by a very specific group of consumers, these controversial actions might give these consumers the idea that the brand is “cheating” on them, moving away from them and going against the image and personality that the brand has worked so hard to build. This causes a problem for brands that are trying to expand their target market, but still maintain the consumers that they have such a strong and positive relationship with. In this project, I will analyze different instances when brands with a strong consumer-relationship to a very specific group have transgressed in the attempt of expanding their market and capturing the attention of other consumer groups as well. I will analyze the outcome of those actions, based on their previous consumer relationship strength and the consequent actions they took after the transgression. By analyzing consumer-brand relationships, keeping a brand current and other factors necessary to build a strong brand such as a specific target market, brand personality, etc I would like to find out if a it is possible for a brand that appeals to a single group of consumers to expand and target other groups as well, without losing their base consumers and their brand image. What actions should the brand take so that their consumers still feel taken care of instead of cheated on?
Dense Multi-Stereo Matching for High Quality Digital Elevation Models

gorithms. Airborne imagery of good dynamic range and signal-to-noise ratio as it is generated by digital aerial cameras is highly beneicial for automatic image matching. This is especially true for surfaces with relatively little surface texture. Consequently, the quality and precision of image-based point transfer as the basis for 3D surface reconstruction has been improved considerably. Recent tests have already demonstrated the feasibility of image
Computer assessment of how well a person visually recognizes verbal Russian speech

This paper is about how a person visually perceives deliberately pronounced words of verbal speech. We investigate the factors of phonetic and articulatory uncertainty in word pronunciation. If these uncertain words are replaced with words having similar articulatory patterns, the quality of speech perception is significantly reduced. We made a computer program to estimate how accurate a person visually recognizes of verbal speech is.