Reviewerly/exHarmony huggingface dataset:
Creation of superposition of arbitrary states encoded in two high-Q cavities

The principle of superposition is a key ingredient for quantum mechanics. A recent work [Phys. Rev. Lett.116, 110403 (2016)10.1103/PhysRevLett.116.110403] has shown that a quantum adder that deterministically generates a superposition of two unknown states is forbidden. Here we consider the implementation of the probabilistic quantum adder in the 3D cavity-transmon system. Our implementation is based on a three-level superconducting transmon qubit dispersively coupled to two cavities. Numerical simulations show that high-fidelity generation of the superposition of two coherent states is feasible with current circuit QED technology. Our method also works for other physical systems such as two optical cavities coupled to a three-level atom or two nitrogen-vacancy center ensembles interacted with one three-level superconducting flux qubit.
Collection development practice in Indian Institute of Technology libraries of Eastern India: a study

Purpose The purpose of this paper is to present the situation of collection development and management of Indian Institute of Technology (IIT) Guwahati and IIT Patna libraries. This research includes other areas of collection development, i.e. collection development policy, acquisition of resources, selection of resources and budget allocation. The collection management includes accessibility, stock verification, shelf arrangement, weeding out and library security of IIT Guwahati and IIT Patna Central Libraries. Design/methodology/approach A structured questionnaire was sent to the librarians via e-mail, which includes 20 questions with 103 preferences. Findings Present research has found that there is a difference in newly established IIT Patna library and old IIT Guwahati library in some aspects of collection development. In the library of IIT Patna, library committee is responsible for collection development policy as well as recommender of resource selection, whereas in IIT Guwahati library advisory committee is responsible for collection development policy and selection of resources on the recommendation of faculty members. The IIT Patna library is not facing any problem, while IIT Guwahati library facing many problems i.e., lack of funds, information explosion and literature scattered. The RFID is used in IIT Patna library, while in IIT Guwahati library it is under process. Research limitations/implications The study is limited to the collection development policies undertaken in IIT Patna and IIT Guwahati in eastern India. The research questions are limited to the theme only. Therefore, the findings of the study are not valid for an in-depth study. Practical implications The study has great importance for librarians of IITs which have recently established in India. The findings and suggestions can serve as groundwork and could help to solve some common problems that had been faced by them. Originality/value This is a comparative study of IIT Guwahati and IIT Patna libraries in eastern India. The collection development aspects, i.e. selection, acquisition, finance and collection management, play a vital role in the collection development to serve their users. The study can serve as a base for future studies in other academic and special libraries.
Enhancing Security Levels at ISP Server Using Multiple Security Techniques with Proposed Crypo Application

The internet is widely used in computing. Security is an important aspect when the quality of service is evaluated and current security possesses high level encryption techniques. However, due to high data saturation and complexity, it is not enough for, only to rely on the common security techniques. In this paper, proposed application named Crypo is installed at both ends, including user and Internet Service Provider (ISP). User can connect to the public internet through providing credentials. Both ends work with same cryptographic techniques and logics. Crypo includes the existing security techniques with proposed logics. Attribute Based Encryption (ABE) is applied to user credentials. Cipher policy applies to data exchange between user and Internet Service Provider (ISP) to form a combined cipher data. Proposed logic is further applied to the binary formatted cipher data. According to proposed logic, the final encrypted binary formatted data are further applied with Advanced Encryption Standard (AES) to deliver it to the ISP. Decryption is done by the same logic applied to the sender side or vice versa. When data is retrieved by ISP from its end user, it is decrypted by the ISP after which is delivered to the public network in normal format. Four level security keeps the data and user credentials confidential. Intruders or hackers can’t reach to the end user without decrypting the secured data at ISP. While delivering encrypted data, applied logic name is also delivered so that end users can decrypt data using the same logic. By using proposed application Crypo, a secure connection is established between the end user and the ISP. An outsider cannot cause threat to the ISP’s users. Proposed multilevel cryptographic approach enhances the security.
Transform-Based Text Detection Approach in Images

Nowadays, every document is very essential to be digitized. Increase in the gadgets where everyone likes to take the information in the form of images, but these images contains important information and necessary to be digitize. To do the digitization text detection in an image is one of the important stage in any field of document image analysis. But its not an easy task due to some of the challenges like complex background, varying light condition, low resolution etc. Hence, this work proposed detection of text in images. The proposed methodology consists of three steps. Initially the gabor filter is applied to extract the uncertainty features of the images. Then, 2D wavelet transform is applied to decompose the text information. Finally non-text information is removed using textual features based on the edge information. The proposed method is tested on MRRC and MSRA-TD500 standard dataset and obtained encouraging results.
Learning Definable Hypotheses on Trees.

We study the problem of learning properties of nodes in tree structures. Those properties are specified by logical formulas, such as formulas from first-order or monadic second-order logic. We think of the tree as a database encoding a large dataset and therefore aim for learning algorithms which depend at most sublinearly on the size of the tree. We present a learning algorithm for quantifier-free formulas where the running time only depends polynomially on the number of training examples, but not on the size of the background structure. By a previous result on strings we know that for general first-order or monadic second-order (MSO) formulas a sublinear running time cannot be achieved. However, we show that by building an index on the tree in a linear time preprocessing phase, we can achieve a learning algorithm for MSO formulas with a logarithmic learning phase.
Designing for empowerment – An investigation and critical reflection

Abstract Technology bears the potential to empower people – to help them tackle challenges they would otherwise give up on or not even try, to make experiences possible that they did not have access to before. One type of such technologies – the application area of the thesis presented here – is health and wellbeing technology (HWT), such as digital health records, physical activity trackers, or digital fitness coach applications. Researchers and companies alike often claim that HWTs empower people to live healthier and happier lives. However, there is reason to challenge and critically reflect on these claims and underlying assumptions as more and more researchers are finding that technologies described as empowering turn out to be “disempowering”. This critical reflection is the starting point of the thesis presented here: Can HWTs really empower people in their everyday lives? If so, how can we design for empowerment? In my cumulative dissertation, I combine studies on existing HWTs, such as patient-controlled electronic health records and personalized mobile fitness coaches with the development of novel prototypes such as transparent digital fitness coaches that communicate their rationale to the user. By reflecting on these case studies, I come to revisit the sometimes washed-out meaning of “empowerment” in “empowering technologies”; I introduce a framework to establish conceptual clarity; and I suggest three principles to design for empowerment based on my own work and the Capability Approach by Sen and Nussbaum that aim to inform and inspire research on HWTs and beyond.
A Prufer-Sequence Based Representation of Large Graphs for Structural Encoding of Logic Networks

Graphs appear ubiquitously in diverse real-world applications that span a wide spectrum including communication infrastructure, biological and social networks, Internet-of-Things, and VLSI circuits. Such applications inherently involve huge volume of data, and feeding them as inputs to advanced machine-learning tools ever remains elusive. While the representation of the underlying graph has to be compact, it must also capture aptly the structural diversity of different graphs/networks so that the learning engines can be suitably trained. We observe that two factors are responsible for making this gulf wider. First, a large graph representing real data is memory-strenuous, and may have non-Euclidean attributes; secondly, most of the deep-learning tools perform better on low-dimensional, Euclidean or structured data such as text or graphic images. In this work, we propose a linear encoding of graphs based on Prufer-sequence that provides an efficient mechanism to preserve their structural information. Experimental results on directed acyclic graphs representing digital integrated-circuit netlists, establish the efficacy of such encoding.
El uso de las TIC en el proceso de enseñanza- aprendizaje de los docentes en las Universidades del Ecuador

This article reflects the reality of an educationalinstitution and the possibility of improving theteaching-learning process through the incorporation ofTIC
ERP Security, Audit and Process Improvement

The ERP systems have rapidly increasing role for the success of modern business. They are subject of rapid development process and rapidly spreading with increasing rate. In now days the typical ERP system has a much better functionalities than its predecessors and also relays on complex it infrastructure, frequently combining a wide set of IT technologies. Security of the ERP system is an important aspect of the entire system and must be properly maintained in order to achieve reliable and secure operation of the entire system. The security of an ERP system should not be regarded as a summary of the security of its components, but as a complex ecosystem comprised of multiple different layers, which also have a complex dependencies and relations between each other. There are also the processes of user identity and rights management that are a considered as an integral part of the overall security. Once configured, the security of the ERP systems could not be regarded as constant but evolves along with the challenges caused by increased numbers, severity and complexity of security threats present into the digital world. In order to mitigate the effects of such threats the security ecosystem of an ERP solution and its components should be a subject of regular audit and reviews to be able to be maintained at sufficient level.
Hierarchical Bayesian Inverse Lighting of Portraits with a Virtual Light Stage

From a single RGB image of an unknown face, taken under unknown conditions, we estimate a physically plausible lighting model. First, the 3D geometry and texture of the face are estimated by fitting a 3D Morphable Model to the 2D input. With this estimated 3D model and a Virtual Light Stage (VLS), we generate a gallery of images of the face with all the same conditions, but different lighting. We consider non-lambertian reflectance and non-convex geometry to handle more realistic illumination effects in complex lighting conditions. Our hierarchical Bayesian approach automatically suppresses inconsistencies between the model and the input. It estimates the RGB values for the light sources of a VLS to reconstruct the input face with the estimated 3D face model. We discuss the relevance of the hierarchical approach to this minimally constrained inverse rendering problem and show how the hyperparameters can be controlled to improve the results of the algorithm for complex effects, such as cast shadows. Our algorithm is a contribution to single image face modeling and analysis, provides information about the imaging condition and facilitates realistic reconstruction of the input image, relighting, lighting transfer and lighting design.
Image steganography based on digital holography and saliency map

A gray-level intensity image can be employed as a host image for hiding a watermark image to protect information security. Past research works demonstrate that a gray-level hidden image can be embedded into the host image by a digital phase-only holography method. However, the fidelity of retrieved watermark image from the host image is not very satisfactory and the host image quality is degraded due to the insertion of external data bits, especially when observers focus on the saliency regions in the host image. To address this problem, we propose a steganography method based on digital holography and the saliency map of the host image. First, we calculate the hidden capacity (number of bits to be replaced) for each host image pixel based on the weighted sum of pixel intensity and saliency value. Next, a multilevel phase-only digital hologram of the watermark image will be calculated by the Gerchberg–Saxton method under the constraint of the hidden capacity of host image. Finally, we embedded the multilevel phase-only digital hologram into the host image by replacing a corresponding number of bits in each pixel. In this way, the host image can preserve good image fidelity for its saliency regions even if we hide a large amount of digital hologram data into the host image. The experimental results show that the quality of retrieved watermark image from the host image and the quality of saliency regions in the watermarked host image, in our proposed scheme, are superior to the state-of-the-art works reported.
Active Area Coverage from Equilibrium

This paper develops a method for robots to integrate stability into actively seeking out informative measurements through coverage. We derive a controller using hybrid systems theory that allows us to consider safe equilibrium policies during active data collection. We show that our method is able to maintain Lyapunov attractiveness while still actively seeking out data. Using incremental sparse Gaussian processes, we define distributions which allow a robot to actively seek out informative measurements. We illustrate our methods for shape estimation using a cart double pendulum, dynamic model learning of a hovering quadrotor, and generating galloping gaits starting from stationary equilibrium by learning a dynamics model for the half-cheetah system from the Roboschool environment.
Studi Penanggulangan Banjir Krueng Tripa

Krueng Tripa is located in 2 (two) regencies, namely Gayo Lues and Nagan Raya with total area of catchmen area is ± 3,472.95 Km2. The rainfall that affects Krueng Tripa watershed ranges from 493 mm up to 2,197 mm per year. the high rainfall effect on flood events that have caused adverse impacts on the lives of people along the river. The purpose of this study is to estimate peak flood discharge and to propose flood control management. Analysis flood discharge using with Synthetic Unit Hydrograph (HSS) Soil Conservation Service (SCS). The rainfall data test show that the rainfall distribution tend to follow the Gumbel, with the rate of design rainfall for 25-year return period to be 154,49 mm/day. Analysis of river flood discharge Krueng Tripa obtained Q25 = 3151,742 m3/s. The control flood recommendation of Krueng Tripa can be accomplished is a dam as flood control structure at the upstream of the river. Result of level pool routing obtained outflow hydrographs 2762,854 m3/s, resulting in a discharge reduction of 388.88 m3/s.
ANALISIS PERBANDINGAN METODE FILTER MEAN, MEDIAN, MAXIMUM, MINIMUM, DAN GAUSSIAN TERHADAP REDUKSI NOISE GAUSSIAN, SALT&amp;PAPPER , SPECKLE, POISSON, DAN LOCALVAR

Due to the influence of noise on an image, the image will experience a decrease in quality. If the type of noise is known for certain, then the right solution can be determined to restore the condition of an image so that the condition returns to normal. The effort to restore the image condition is stated by image restoration. The most important thing in image restoration is determining the type of noise and the solution for the noise.In this study several types of noise were tried, gaussian, salt &amp; paper, speckle, poisson, and Localvar on several image samples. In the image that had been exposed to noise, repairs were carried out with several types of filters including gaussian, mean, median, maximum, and minimum. Next was the quality of noise reduction with each filter determined based on the value of PSNR and MSE. The results of image restoration experiments showed that the mean filter was the best filter used to improve noisegaussian, salt &amp; peppers and speckle image quality. The median filter is the filter that is best used to improve image quality with poisson and localvar noise types.
Implementasi Standar Nasional Pendidikan di Kabupaten Aceh Besar Suatu Persepsi dan Harapan Masyarakat

This study aims to describe community perceptions and expectations of the Implementation of Eight Education Standards (1) content standards, (2) process standards, (3) graduate competency standards, (4) teaching staff standards, (5) standard facilities and infrastructure (6) management standards, (7) financing standards, and (8) assessment standards in Aceh Besar District. This research was conducted using descriptive methods, especially quantitative descriptive. Using questionnaire / questionnaire method, which is a method of data collection by using a questionnaire containing questions that are relevant to the purpose of the study. The results of the study illustrate that the application of national education standards in Aceh Besar which has been implemented so far has resulted in the perception of the community is very good
De-anonymizing Scale-Free Social Networks by Using Spectrum Partitioning Method

Social network data is widely shared, forwarded and published to third parties, which led to the risks of privacy disclosure. Even thought the network provider always perturbs the data before publishing it, attackers can still recover anonymous data according to the collected auxiliary information. In this paper, we transform the problem of de-anonymization into node matching problem in graph, and the de-anonymization method can reduce the number of nodes to be matched at each time. In addition, we use spectrum partitioning method to divide the social graph into disjoint subgraphs, and it can effectively be applied to large-scale social networks and executed in parallel by using multiple processors. Through the analysis of the influence of power-law distribution on de-anonymization, we synthetically consider the structural and personal information of users which made the feature information of the user more practical.
A unified computational framework for visual attention dynamics

Eye movements are an essential part of human vision as they drive the fovea and, consequently, selective visual attention toward a region of interest in space. Free visual exploration is an inherently stochastic process depending on image statistics but also individual variability of cognitive and attentive state. We propose a theory of free visual exploration entirely formulated within the framework of physics and based on the general Principle of Least Action. Within this framework, differential laws describing eye movements emerge in accordance with bottom-up functional principles. In addition, we integrate top-down semantic information captured by deep convolutional neural networks pre-trained for the classification of common objects. To stress the model, we used a wide collection of images including basic features as well as high level semantic content. Results in a task of saliency prediction validate the theory.
Two-loop <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>N</mml:mi></mml:math> -jettiness soft function for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi><mml:mi>p</mml:mi><mml:mo stretchy="false">→</mml:mo><mml:mn>2</mml:mn><mml:mi>j</mml:mi></mml:math> production

We calculate the two-loop soft function for $pp\ensuremath{\rightarrow}jj$, ${e}^{+}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}4j$, or $ep\ensuremath{\rightarrow}3j$ when the $N$-jettiness observable is measured. The result presented here makes up the necessary piece for realizing the full next-to-next-to-leading order predictions for these processes using the $N$-jettiness subtraction scheme.
An investigation into the impact of the structured QR kernel on the overall performance of the TSQR algorithm

The TSQR algorithm is a communication-avoiding algorithm for computing the QR factorization of a tall and skinny (TS) matrix. The TSQR algorithm entails repeatedly executing a kernel that computes the QR factorization of a structured matrix. Although a single execution of structured QR requires small computational cost, it is repeated depending on the number of active parallel processes. The complicated computational pattern and small matrix size of structured QR are obstacles to achieving high performance. Thus, the computational cost of structured QR becomes a significant bottleneck in massively parallel computation. In this paper, we focus on the kernel of structured QR and discuss its implementation. We compare several kernels including those provided in LAPACK on modern processors, and investigate the impact of the different structured QR kernels on the overall performance of the TSQR algorithm.