Miracle-dz/UniFAR-FTUs huggingface dataset:
SQuIDS - Development of an Eclipse plug-in for automated detection of software maintainability problems

Software quality can make a large impact on the cost and speed of development, as well as on what functionality can be delivered in time. Techniques, tools and models exist for measuring and improving software quality. Static code analyzers are programs which can be used to identify quality problems in the source code of software. The CISQ Specifications for Automated Quality Characteristic Measures provide a set of measures for automatic analysis, which can be implemented into a static code analyzer. Maintainability is a characteristic of software quality, and is one of four characteristics in the CISQ specification. Two implementations of the CISQ specification exist, where one of them, called MUSE, implements the maintainability characteristic. However, neither are available as plug-ins for an Integrated Development Environment (IDE). In this study, a software artifact named SQUIDS (Software Quality Issue Detection System) was developed as a plug-in for the Eclipse IDE. This was done in order to find out how a static code analyzer can be developed to find maintainability problems in software source code, based on a standard, with focus on correctness, usability and performance. SQUIDS analyzes Java source code, finds maintainability problems defined by the CISQ specification, marks the problems in the source code editor, and provides a software quality score according to the specification. The software artifact was evaluated by comparing results with the MUSE software (Plösch, Schürz, and Körner, 2015), providing an example of and discussing how maintainability problems can be visualized to the user, and evaluating performance by measuring the time it takes SQUIDS to analyze five existing open-source software projects. The results show that SQUIDS and MUSE find different problems for most of the CISQ measures, that the way SQUIDS visualizes maintainability problems works, but may not be optimal for a larger number of problems, and that although the performance of SQUIDS proved to be lower than desired, makes it usable while developing software. Further research and development is recommended to improve the correctness, usability and performance of SQUIDS. A method for comparing and verifying the analysis results of SQUIDS and MUSE has been proposed and used for a selection of the CISQ measures. Further verification of the analysis results could therefore be conducted using the method. SQUIDS is available as an open-source software project on GitHub, and can be installed and used in Eclipse to identify maintainability problems in Java software source code.
Genetic programming approach to evaluate complexity of texture images

Abstract. We adopt genetic programming (GP) to define a measure that can predict complexity perception of texture images. We perform psychophysical experiments on three different datasets to collect data on the perceived complexity. The subjective data are used for training, validation, and test of the proposed measure. These data are also used to evaluate several possible candidate measures of texture complexity related to both low level and high level image features. We select four of them (namely roughness, number of regions, chroma variance, and memorability) to be combined in a GP framework. This approach allows a nonlinear combination of the measures and could give hints on how the related image features interact in complexity perception. The proposed complexity measure MGP exhibits Pearson correlation coefficients of 0.890 on the training set, 0.728 on the validation set, and 0.724 on the test set. MGP outperforms each of all the single measures considered. From the statistical analysis of different GP candidate solutions, we found that the roughness measure evaluated on the gray level image is the most dominant one, followed by the memorability, the number of regions, and finally the chroma variance.
Sociality and group performance: Multilevel analysis focusing on social sensitivity and self-regulation

In this research, we examined the hypothesis that group performance will increase as a result of ac-celerating the timing of goal sharing and role differentiation by height of sociality of the group such as social sensitivity and self-regulation. One hundred fifty-six undergraduates (5–7 people × 26 groups) participated in consensus-building tasks. After the tasks, they completed the questionnaire about their satisfaction level, social sensitivity, self-regulation, and timing of goal sharing and role differentiation in the group. As a result of the analysis, it was confirmed that the group performance was high in the group with higher social sensitivity and self-regulation. However, the timing of goal sharing and role differentiation was not earlier in the higher social sensitivity group than in the other groups. The process in which sociality influences group performance was discussed.
Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law

Empirical evidence is mounting that artificial intelligence applications threaten to discriminate against legally protected groups. This raises intricate questions for EU law. The existing categories of EU anti-discrimination law do not provide an easy fit for algorithmic decision making. Furthermore, victims won’t be able to prove their case without access to the data and the algorithmic models. Drawing on a growing computer science literature on algorithmic fairness, this article suggests an integrated vision of anti-discrimination and data protection law to enforce fairness in the digital age. It shows how the concepts of anti-discrimination law may be combined with algorithmic audits and data protection impact assessments in an effort to unlock the algorithmic black box.
Advances In Kernel Methods Support Vector Learning

advances in kernel methods support vector learning is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the advances in kernel methods support vector learning is universally compatible with any devices to read.
An Analysis of Declarative Speech Act in The Movie My Lawyer, Mr Jo: Pragmatics Approach

Pragmatics is the study of how language is used in communication. Pragmatics is the study of speaker meaning. This Paper entitle “ An Analysis of Declarative Speech Act in The Movie My Lawyer, Mr Jo” discussed the analysis of speech act especially Declarative based on the Searle (1969). Speech act is a part of pragmatic that studies about utterances. It is defined as action performed via utterances(Yule,1996). Classification of Speech act (Searle:1969) are Assertives; Commisives; Expressives; Directives and Declaration. In this paper the writer focus on Declaration and analysis My Lawyer,Mr Jo. The objectives of this research were first to Undrestanding Speech act and Types of Speech act. Second, to find out of Declarative Speech act in Movie My Lawyer,Mr Jo. This research the writer use descriptive qualitative method. Keywords: Pragmatics;Speech act; Classification of Speech act; Declaration; My Lawyer, Mr Jo.
Issues of Human Computer Interaction

The emphasis of human-computer interaction (HCI) design on the technology and computer action tends to obscure consideration of the contribution of the computer interface to the service interaction. This chapter suggests that since a majority of commercial information systems support or provide services, the nature and progression of the service encounter should be a key concern of human computer interface designers. The chapter proposes the concept of service-oriented HCI in which HCI design is derived from service design, dialog is driven by customer needs and perceptions, activities that have led up to the service encounter are considered, and the service interaction dialog is aligned with the computer TEAM LinG Live, Informative, Non-cost and Genuine! 2 McBride & Elbeltagi Copyright © 2004, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. dialog. As part of service-oriented HCI, the chapter illustrates the use of scripting to examine ex-post the role of a computer interaction in a service encounter. It demonstrates that the computer dialog can drive the service interaction in such a way that the quality of the interaction is reduced and customer satisfaction affected. It concludes that the role of the computer system in a service interaction is an area for further research. Furthermore, script analysis may enable the development of human-computer dialogs that meet some of the criteria of service-oriented HCI.
Remember like humans

Visual tracking is a challenging computer vision task due to the significant observation changes of the target. By contrast, the tracking task is relatively easy for humans. In this article, we propose a tracker inspired by the cognitive psychological memory mechanism, which decomposes the tracking task into sensory memory register, short-term memory tracker, and long-term memory tracker like humans. The sensory memory register captures information with three-dimensional perception; the short-term memory tracker builds the highly plastic observation model via memory rehearsal; the long-term memory tracker builds the highly stable observation model via memory encoding and retrieval. With the cooperative models, the tracker can easily handle various tracking scenarios. In addition, an appearance-shape learning method is proposed to update the two-dimensional appearance model and three-dimensional shape model appropriately. Extensive experimental results on a large-scale benchmark data set demonstrate that the proposed method outperforms the state-of-the-art two-dimensional and three-dimensional trackers in terms of efficiency, accuracy, and robustness.
Money laundering and its effect on social and political economy in Iran

Today, using the most appropriate financial combination for preventing manipulation of influence and pressure on the structure of the country is one of the most important concerns of every country’s cultural-financial policy so that social, political, and financial segments are greatly impressed in all aspects. In this regard, there are many destructive factors which destroy the balance. Money laundering, according to global statistics and facts, could be one of the most destructive one. Money laundering is done through many different ways which leads to the corruption of authorities and financial instability and banking volatility and also reduction of productivity and government’s control over economic policies. Step-by-step control and assessment of financial institutions and enterprises and all organizations which somehow affect the flow of money laundering is really difficult and to achieve predetermined goals, highly secure solutions and also development of appropriate culture in society for preventing the flow of money laundering are necessary. Normal 0 false false false RU X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Обычная таблица"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}
Conditional Cash Transfers: Reducing Present and Future Poverty

Conditional cash transfers (CCTs) are programs that transfer cash, generally to poor households, on the condition that those households make pre specified investments in the human capital of their children. The report shows that there is good evidence that CCTs have improved the lives of poor people. Transfers generally have been well targeted to poor households, have raised consumption levels, and have reduced poverty, by a substantial amount in some countries. Offsetting adjustments that could have blunted the impact of transfers, such as reductions in the labor market participation of beneficiaries, have been relatively modest. The report also considers the rationale for conditioning the transfers on the use of specific health and education services by program beneficiaries. Thus CCTs have increased the likelihood that households will take their children for preventive health checkups, but that has not always led to better child nutritional status; school enrollment rates have increased substantially among program beneficiaries, but there is little evidence of improvements in learning outcomes. These findings suggest that to maximize their potential effects on the accumulation of human capital, CCTs should be combined with other programs to improve the quality of the supply of health and education services, and should provide other supporting services.
Values Portrait of Trinidad and Tobago

This introductory chapter to this special issue is mainly to be used as a platform for further discussion on social investment in the Caribbean. It is expected that academics, students and child advocates will further develop the debate on the theory and practice of social investment in children in developing countries, especially in the Caribbean. The ideas here are consequently to be treated as preliminary and a stimulus for debate in any forum, be it classroom or a conference. The following topics are examined in this introduction: Social Investment: Theory and Practice; International and Regional Frameworks; Why Invest in Children? Benefits of Social Investment in Children; Social Investment in Children in the Caribbean; The Way Forward. The basic argument put forward in this paper is that investment in children while a wise economic activity also has qualitative benefits. All investments do not need to be costly. Time spent with children listening to an account of their day at school is also an " investment" for which we may not always be able to estimate the returns, but for which the positive impacts on the child, the family and the society could be long term. Therefore, the current "selling point" for investing in children for their futuristic economic value needs to also include their "present" qualitative utility to the society as important members of families and social groups.
Toward a typology of food security in developing countries.

The recent global food and financial crises have reversed the last decade's progress in reducing hunger and poverty. This paper conducts a factor and sequential typology analysis to identify groups of countries categorized according to five measures of food security—consumption, production, imports, distribution, and agricultural potential—by using indicators from 175 countries. The analysis first identifies five distinct food security groups, characterized by food intake, and then further splits these groups based on the various measures of food production, trade security, and agricultural potential. The results suggest that the general category of “developing countries” is extremely heterogeneous and is not particularly useful if the focus is on issues of food security. The results also indicate that different responses are needed by different types of food-insecure countries to address the food and financial crises.
Brain Tumor Detection In MRI Images Using Morphological Operations And Its Texture Analysis

iv TABLE OF CONTENTS . v LIST OF ABBREVATION.viii LIST OF TABLES.ix LIST OF FIGURES. x 1.INTRODUCTION . 1-10 1.1BRAIN. 1 1.1.2Cell Structure of Brain.1 1.2 BRAIN TUMORS AND ITS TYPES.2 1.3 TUMOR GRADES AND TYPES4 1.3. 1 Grades of Tumor.5 1.3. 2 Types of Primary Brain Tumors.6 1.4 SYMPTOMS OF BRAIN TUMOR.7 1.5 DIAGNOSIS OF BRAIN TUMORS.7 1.5. 1 Neurologic exam.7
A Graph Theoretic Perspective on Internet Topology Mapping

Understanding the topological characteristics of the Internet is an important research issue as the Internet grows with no central authority. Internet topology mapping studies help better understand the structure and dynamics of the Internet backbone. Knowing the underlying topology, researchers can better develop new protocols and services or fine-tune existing ones. Subnet-level Internet topology measurement studies involve three stages: topology collection, topology construction, and topology analysis. Each of these stages contains challenging tasks, especially when large-scale backbone topologies of millions of nodes are studied. In this dissertation, I first discuss issues in subnet-level Internet topology mapping and review state-of-the-art approaches to handle them. I propose a novel graph data indexing approach to to efficiently process large scale topology data. I then conduct an experimental study to understand how the responsiveness of routers has changed over the last decade and how it differs based on the probing mechanism. I then propose an efficient unresponsive resolution approach by incorporating our structural graph indexing technique. Finally, I introduce Cheleby, an integrated Internet topology mapping system. Cheleby first dynamically probes observed subnetworks using a team of PlanetLab nodes around the world to obtain comprehensive backbone topologies. Then, it utilizes efficient algorithms to resolve subnets, IP aliases, and unresponsive routers in the collected data sets to construct comprehensive subnet-level topologies. Sample topologies are provided at http://cheleby.cse. unr.edu.
Labor Market and Income Effects of a Legal Minimum Wage in Germany

In view of rising wage and income inequality, the introduction of a legal minimum wage has recently become an important policy issue in Germany. We analyze the distributional effects of a nationwide legal minimum wage of 7.50 € per hour on the basis of a microsimulation model which accounts for the complex interactions between individual wages, the tax-benefit system and net household incomes, also taking into account potential employment effects as well as indirect effects on consumption. Simulation results show that the minimum wage would be rather ineffective in raising net household incomes and reducing income inequality, even if it led to a substantial increase in hourly wages at the bottom of the wage distribution. The ineffectiveness of a minimum wage in Germany is mainly due to the existing system of means-tested income support and the position of minimum wage earners in the income distribution.
A Holistic Approach to Lowering Latency in Geo-distributed Web Applications

Puzhavakath Narayanan, Shankaranarayanan Ph.D., Purdue University, August 2016. A Holistic Approach to Lowering Latency in Geo-distributed Web Applications. Major Professor: Sanjay G. Rao. User perceived end-to-end latency of web applications have a huge impact on the revenue for many businesses. The end-to-end latency of web applications is impacted by: (i) User to Application server (front-end) latency which includes downloading and parsing web pages, retrieving further objects requested by javascript executions; and (ii) Application and storage server(back-end) latency which includes retrieving meta-data required for an initial rendering, and subsequent content based on user actions. Improving the user-perceived performance of web applications is challenging, given their complex operating environments involving user-facing web servers, content distribution network (CDN) servers, multi-tiered application servers, and storage servers. Further, the application and storage servers are often deployed on multi-tenant cloud platforms that show high performance variability. While many novel approaches like SPDY and georeplicated datastores have been developed to improve their performance, many of these solutions are specific to certain layers, and may have different impact on user-perceived performance. The primary goal of this thesis is to address the above challenges in a holistic manner, focusing specifically on improving the end-to-end latency of geo-distributed multi-tiered web applications. This thesis makes the following contributions: (i) First, it reduces userfacing latency by helping CDNs identify and map objects that are more critical for pageload latency to the faster CDN cache layers. Through controlled experiments on real-world web pages, we show the potential of our approach to reduce hundreds of milliseconds in latency without affecting overall CDN miss rates. (ii) Next, it reduces back-end latency
Configuring the Differentiated Services Codepoint of Session Description Protocol Established Media Streams

The Session Description Protocol (SDP) offer/answer model currently has no mechanism for dynamic configuration of the Differentiated Services Codepoints (DSCP) for the media streams endpoints establish. This document creates such a mechanism within SDP, as granular as at the media stream level where more than one stream can be in an offer/answer exchange, to set a particular DSCP for the desired Per Hop Behavior (PHB) of a media stream. This same mechanism can change a DSCP of an existing stream based on dynamic network conditions.
Functional behaviour simulation of industrial products in virtual reality

VR (Virtual Reality) is a powerful tool for the simulation of virtual prototypes, because it allows engineers to enhance the analysis and validation of the digital product before manufacturing any physical mock-up. Unfortunately, VR software tools are not able to fully simulate the behaviour of a virtual product, because they are mainly conceived to reproduce the visual appearance of the product: the functional simulation is limited to basic behaviours related to the animation of the objects in the virtual world (e.g.: part movements). This paper describes an innovative approach to create functional behaviour simulations in VR using the same models and the same software employed by the engineers in the design phase. Our approach is based on the run-time connection between the VR software and the simulators used for product design and analysis. This means that there is no need to write code for describing the product behaviour, and any modification done on the behaviour models is immediately testable in VR. It is apparent that these advantages allow to reduce the time needed to implement the virtual prototyping, thus achieving a more efficient design process.
New figures for old stories: Migration and remittances in Nepal

Labour migration and remittances are major economic mainstays for Nepal’s economy. However, there is still insufficient documentation on scale and significance of this process. Estimations of migration figures suggest that real numbers are several times higher than official statistics show. Therefore this article contributes to the emerging debate of the last years comparing latest national statistics with own empirical data. The paper concludes that the total numbers of migrants calculated by the authors closely corresponds with official statistics, while amount of remittances seems to be higher indeed, highlighting once more that labour migration and remittances are an important mainstay of Nepal’s economy.