Reviewerly/exHarmony huggingface dataset:
Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks.

Model compression techniques, such as pruning and quantization, are becoming increasingly important to reduce the memory footprints and the amount of computations. Despite model size reduction, achieving performance enhancement on devices is, however, still challenging mainly due to the irregular representations of sparse matrix formats. This paper proposes a new weight representation scheme for Sparse Quantized Neural Networks, specifically achieved by fine-grained and unstructured pruning method. The representation is encrypted in a structured regular format, which can be efficiently decoded through XOR-gate network during inference in a parallel manner. We demonstrate various deep learning models that can be compressed and represented by our proposed format with fixed and high compression ratio. For example, for fully-connected layers of AlexNet on ImageNet dataset, we can represent the sparse weights by only 0.28 bits/weight for 1-bit quantization and 91% pruning rate with a fixed decoding rate and full memory bandwidth usage. Decoding through XOR-gate network can be performed without any model accuracy degradation with additional patch data associated with small overhead.
Metalexicography as Knowledge Graph

This short paper presents preliminary considerations regarding LexBib, a corpus, bibliography, and domain ontology of Lexicography and Dictionary Research, which is currently being developed at University of Hildesheim. The LexBib project is intended to provide a bibliographic metadata collection made available through an online reference platform. The corresponding full texts are processed with text mining methods for the generation of additional metadata, such as term candidates, topic models, and citations. All LexBib content is represented and also publicly accessible as RDF Linked Open Data. We discuss a data model that includes metadata for publication details and for the text mining results, and that considers relevant standards for an integration into the LOD cloud.
Binary data fusion using undirected probabilistic graphical models: Combining statisticalmatching and the Ising model

Graphical models can prove quite powerful for statistical matching, making secondary data analysis feasible also in situations where joint information about variables that were not collected together is sought. Without any constraints regarding the direction of influence of variables, we develop a method that uses the graphical Ising model to merge two or more data files containing binary data only. To this end, we rely on the conditional independence assumption commonly made in statistical matching to learn a joint Markov network graph structure over all variables from the given data. Based on this joint graph, the probability distribution is estimated by an adapted version of the Ising model. The quality of our new data fusion method is assessed on basis of a simulation study, sampling data from random Ising models. We investigate which parameters influence the quality of data integration, and how violations of the conditional independence assumption affect the results.
Towards Predictive Execution Monitoring in BDI Recipes

Agents do not only generate and choose plans for execution, they also monitor the execution of plans and handle contingencies [1, 5, 6]. The capacity for execution monitoring allows agents to assess the execution of plans, determine the need for re-planning, identify opportunities, and re-evaluate goal selection. In practice, many BDI plan execution systems focus only on the current plan step. They do not project ahead the current knowledge of the agent to determine implications on future steps. Thus a failure of a future plan-step, which may already be predictable with given the current knowledge of the agent, is not detected until the last possible moment.
Register Fashion Busana Wanita Pada RubrikMode Surat Kabar Solopos Edisi Januari-Juni 2017 Dan Implementasinya Dalam Pembelajaran DiSmk

This study aims to (1) find the form of a women's fashion register, (2) findthe form of fashion fashion registers, and (3) describe its implementation in learningin Vocational Schools. This research includes qualitative research. The data in thisstudy are in the form of sentences. The data source used is a written source. Thetechnique of collecting data is in the form of notes and techniques. Data analysistechniques are in the form of basic techniques, namely the Determination of PilahElement (PUP) techniques and marking reading techniques. The results showed (1)129 forms of registering women's fashion clothing from 11 news texts. (2) basicforms of nouns 30 lexicons, registers of basic forms of adjectives 14 lexicons,registers of basic forms of verbs 1 lexicon, register of affixed forms suffixes of 12lexicons, registers of affixation forms confixed 5 lexicons, registers of affixationforms of 9 lexicons, compound form registers 5 lexicons, re-registers 2 lexicons, 46lexicon noun phrases, 1 lexicon verb phrase and 5 lexicon adjective phrases. (3)Register for women's fashion can be implemented in Vocational Schools in thedepartment of clothing and garment.Keywords: register fashion, register form, fashion, garment, implementation
Smart E-Business Model based on Block Chain (BC) and Internet of Things (IoT) Technologies

Blockchain (BC) is a de-centralized, digitized, public ledger of all crypto-currency transactions. BC attempts to create and share all the online transactions as a data structure on a computers network where it validates the transactions using peer-to-peer network of computers. It also allows users to make and verify transactions immediately without the need for a central authority. BC which works on Bitvoin Protocol is a transaction database and ledger technology which contains information covering all the transactions ever executed in the past. On the other side, Internet of Things (IoT) is becoming a new platform for smart E-business activities. In this paper, we present a smart E-business model based on BC and IoT technologies where this model may be seen as a combination of the four used intelligent approaches in data Mining, knowledge computing, machine learning, and transactions testing. In addition, we re-design many elements in traditional E-business models. The results of our analysis show that, within appropriate E-business paradigms, BC technology can play an efficient role in facilitating active tasks for all activities over the architecture of IOT in many domains. We also experiment our design and make a comprehensive discussions.
An Over-sampling Method Based on Margin Theory

Imbalanced data widely exists in real life, while the traditional classification method usually takes accuracy as the classification criterion, which is not suitable for the classification of imbalanced data. Resampling is an important method to deal with imbalanced data classification. In this paper, a margin based random over-sampling (MRO) method is proposed, and then MROBoost algorithm is proposed by combining the AdaBoost algorithm. Experimental results on the UCI dataset show that the MROBoost algorithm is superior to AdaBoost for imbalanced data classification problem.
LibGuides: MLA Micro-course: MLA Home

Using hands-on practice, learn how to create in-text and Works Cited citations, as well as craft paraphrases and summaries of source material.
Study of Signal Remote Monitoring System Based on Template Technology in Timing System

This paper proposes a design of remote monitoring system for timing system based on template technology. The monitoring signal of oscillograph is collected by the extension module TDS2CM, which is processed by micro controller unit and network module, and is transmitted to IP network to realize remote monitoring. At the time, all the indicators of the system exceeded the set value will trigger the sound alarm. This will help to remind of carrying out the corresponding operation, preventing the timing system of exceeding the specified range of technical indicators. The result shows that this system does well in achieving the purpose of fault warning in timing system.
A Virtual Interactive System for Merchandising Stores

This research mainly proposes a system design for virtual stores, which offers game and AR scenes to improve the business sales of general merchandising stores. By 3D game aspect, customers always control a virtual character inside game scenes to look for some items, hence a virtual store is designed to include the scenes with fictitious furnishings for real item’s merchandising. Items for sale at merchandising counters are displayed with various virtual formats; meanwhile, customers can browse an item to find what suits them best by browsing it at different image angles and try it on virtually. The virtual item try-on is accomplished by OpenCV and AR technologies, which assists the store to solve the out-of-stock problem of physical items, when customers in the physical store want to try them on.
Policy Issues to Strengthen Police's Ability to Respond to Terrorism

경찰은 평창동계올림픽 기간 동안 테러대비 상황실을 설치하여 테러안전활동을 강화하고 테러취약시설에 대한 특별점검을 실시하는 한편 올림픽 기간동안 현장중심의 성공적인 테러예방활동을 실시하였다. 이처럼 한국경찰의 테러대응 역량은 다양한 국제행사를 경험하면서 성장하고 주요한 정책과제의 지표를 확실하게 설정하고 있다. 이 논문은 경찰의 테러대응역량을 강화하여 국내일반테러의 주관기관으로써 증대되는 임무 및 역할을 효과적 달성을 위한 정책적 제언을 하고자 한다. 이에 따라 기존의 정책과제 수행정도를 분석 및 평가하고 현장중심의 테러예방활동과 유관기관과의 협업강화 그리고 대국민 홍보 및 전문성 강화 방안 등을 제시하였다.The police set up a situation room for terrorism during the PyeongChang Winter Olympics to strengthen terrorist safety activities and conduct a special inspection of terrorist-weak facilities, while conducting successful on-site anti-terrorism activities during the Olympics. As such, the Korean police s ability to respond to terrorism is growing through various international events and clearly setting indicators for major policy issues. This paper seeks to make policy suggestions for the effective attainment of the increased mission and role as the organ of general terror in Korea by strengthening the police s counter-terrorism capabilities. Accordingly, the existing policy tasks were analyzed and evaluated, and measures were presented to prevent terrorism, strengthen cooperation with related agencies, and enhance public relations and professionalism.
A Novel Multi-scale Invariant Descriptor Based on Contour and Texture for Shape Recognition

This paper proposes a novel multi-scale descriptor for shape recognition. The contour of shape is represented by a sequence of sample points with uniform spacing. Straight lines connected between two moving contour points are used to cut the shape. The lengths of the contour segments between the two sampled contour points determine the levels of scales. Then the geometric features of the cut contour and the interior texture features around the straight lines are extracted at each scale. This method not only has the powerful discriminability to describe a shape from coarse to fine, but also is invariant to scale, rotation, translation and mirror transformations. Experiments conducted on five image datasets (COIL-20, Flavia, Swedish, Leaf100 and ETH-80) demonstrate that the proposed method significantly outperforms the state-of-the-art methods.
Library Services: Need of Marketing and Promotion

Libraries are the backbones of the any educational institute. Libraries are growing with the financial support of the parent institutions. They perform their duties and day to day life activities very effectively but now day’s new concept of library marketing & marketing and promotion of the service arises. For promotional of Library services it is very important to understand client needs. Plan service provision, available services and how effectively & efficiently deliver support to the users. Marketing is become an essential tool in justifying fund requirements. As a librarian we plan to prepare the library marketing plan and work on it. Keywords: Library Marketing, Marketing Strategies, Promotion, Users, Need of Library Services. Cite this Article Urmila Rajendra Kadam. Library Services: Need of Marketing and Promotion. Journal of Advancements in Library Sciences. 2019; 6(Special Issue 1): 312s–314s.
Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions

Humans have the remarkable ability to interact with their environment through rich and diverse actions. In order to actuate on shared environments with humans, artificial agents should have the ability to recognize the human's actions. However the creation of an artificial agent that is capable of recognizing all possible human actions from prior training is unrealistic, given the diversity of potential actions and ways to perform them. If we aim at deploying competent artificial agents in such scenarios, this hurdle should be overcome.
FINANCIAL APPRAISAL OF ONLINE BANKING ON DEPOSIT MONEY BANKS IN NIGERIA

The objective of the study was to examine the financial appraisal of online banking on the Deposit Money Banks in Nigeria between 1991 and 2015. The study adopted Fully Modified Ordinary Least Squares (Fully Modified OLS) to measure the relationship among the variables. The finding of the study showed that interaction of online banking and Deposit Asset Ratio has positive significant impact on the profitability of the Deposit Money Banks in Nigeria in the long run. In addition, the finding of the study showed that interaction of online banking and Loans to Asset Ratio has significant impact on the profitability of the Deposit Money Banks in Nigeria in the long run. The ECM was correctly signed and significant at 5% level of significance. The speed of adjustment of the ECM was 134.72%.  Lastly, the short run showed that loan to asset ratio and inflation were significant at 0.05 level of significance. The study therefore recommends that Deposit Money Banks should intensify effort on the adoption of online banking.
Multimedia Encryption on Bitplanes of Image Using ECC on Koblitz Curves with Lopez–Dahab Projective Coordinates

The requirements of video communication make people to use the Internet daily in their life. The security also plays a vital role to achieve smooth communication in multimedia. Multimedia encryption provides elegant solution to fulfill all these requirements. Among all public key encryption algorithms, elliptic curve cryptography (ECC) is attracted toward encryption of multimedia for better security with less bandwidth. We proposed a method named as perceptual encryption, which performs encryption on selective bitplanes of a grayscale image. The proposed method uses ECC on Koblitz curves with Lopez–Dahab projective coordinates to improve the efficiency of multimedia encryption and decryption. Moreover, scalar multiplication dominates the performance of ECC over Koblitz curves. The performance of Koblitz curves can be further improved by reducing number of field operations required at the time of point addition using Lopez–Dahab projective coordinates, anyway doubling needs less cost due to Frobenius endomorphism. Two parameters such as peak signal-to-noise ratio (PSNR) and structural similarity measure (SSIM) are considered to measure the quality of an image. The requirements of multimedia are analyzed based on the results obtained.
Smart Targets to Avoid Observation in CTO Problem

Security is one of the values essential to the common good of society. With population growth and modernity, new challenges have emerged to ensure the safety of a large number of people in circulation with limited resources for observation. The Cooperative Targets Observation (CTO) problem consists of two groups of agents, observers and targets, in which observer agents seek to maximize the Average Number of Observed Targets (ANOT) in environments where there are more targets than observers. In most of the approaches to this problem the behavior of the target agents was modeled very simply, out of reality in competitive multi-agent environments. The objective of this work is to propose and validate four strategies for the team of target agents in the CTO problem, three involving grouping algorithms and two organizational paradigms, and one using neural networks. The approaches were implemented and tested on the NetLogo agent-based simulation platform. Test results showed that target team performance increased considerably when they were modeled as rational agents in an organization.
Poster: TGX: Secure SGX enclave managementusing TPM

Intel SGX provides a trusted execution environmenton commodity computing platforms. Recent micro-architectural attacks like Spectre, Meltdown, or Foreshadow, however, raise doubts about the promised isolation of SGX-protected code and data, including some of the necessary cryptographic operations and credentials, e.g., for attestation.In this poster we present TGX, a combination of SGX andTPM working together to provide stronger isolation of crucial cryptographic operations of SGX and a way to circumvent microarchitectural attacks against SGX. TGX enables SGX to move its signing and verification mechanism from processor to TPM making the security sensitive information never available outside TPM, removing, for instance, the possibilities of stealing them from L1 cache. In particular, TGX should motivate that SGX and TPM can form a beneficial symbiosis.
The Geochemical Data Imaging and Application in Geoscience: Taking the Northern Daxinganling Metallogenic Belt as an Example

Geochemical data were predominantly expressed by vector format, the research on geochemical data visualization, i.e., raster data format, was not paid proper attention. A total of 39 geochemical elements in 1:200,000 regional geochemical exploration data were rasterized to form images, and then a geochemical image database was generated. This article has carried out the study on geochemical imaging within Daxinganling metallogenic belt. The metallogenic belt had once carried out the regional geochemical survey, the sampling density was 1 site/4 km2, and 39 geochemistry elements including the microelement and trace element have been analyzed. Quintic polynomial method was used to implement the geochemical data interpolation, and the cell size of formed geochemical elemental image is 1 km. The images of the geochemical elements were processed by image enhancement methods, and then hyperspectral remote sensing data processing method was used for prospecting target selection, lithology mapping, and so on. The interpreted results have been verified in practice. All the abovementioned suggested a good development prospect for the rasterized geochemical images. Finally the author puts forward using rasterize geochemical images in combination with other geological, geophysical, and remote sensing data to make better use of the geochemical data and be more extensively applied in the geoscience.
Sistem Pakar Untuk Mendiagnosis Kerusakan Hardware Komputer Berbasis WEB Pada PT.Bukit Putri Hijau

Abstract In a common enterprise constraints that we are facing, one of which occurred on the computer that we use, so as to hinder our work. Moreover, not all companies are experts to handle this problem, as well as experienced by PT. Bukit PutriHijau.An expert system is a computer system that matched the ability of decision-making from an expert. An emulsion is much more powerful than a simulation that just need something that is evident in some areas or things. Knowledge in an expert system may be an expert, or knowledge that is generally found in books, magazines and people who have knowledge about a field. The term expert systems, knowledge-base system, or an expert system-knowledge base, frequently used mainly in the same sense.With the expert system we hope to help address the issue of damage to computer hardware we have often experienced. Key Word : Expert System, Knowledge Base, Damage of Computer Hardware
Ways for PHP to write in HTML

Note that the interleaving of commands in PHP language is possible, alternating them within a page written in HTML language, as many times as necessary (PHP tags can be opened and closed as many times as we want
Using Machine Learning to Learn from Bug Reports : Towards Improved Testing Efficiency

The evolution of a software system originates from its changes, whether it comes from changed user needs or adaption to its current environment. These changes are as encouraged as they are inevitab ...
The Directions for Improving the Preparation of Future Specialists with the Usage of National Values

The article deals with the issue of improving the teaching and methodological support of future specialists in vocational preparing using national values
The Impact of Sentiments in Weibo Posts on Commenting and Reposting Behavior on the Platform

The aim of this study is to understand the impact of various types of, and the intensity of, sentiments associated with information on Weibo on the rate of reposts. For the study sample, 24 public incidents were randomly selected out of the top 300 public incidents on 5 microblog platforms for the year as ranked by the number of searches associated with each incident. Then, 7114 effective posts on these 24 public incidents were extracted from the Weibo (Sina’s microblogging website) platform. The extracted Weibo posts were analyzed for the type and intensity of sentiment contained, the target subjects of said sentiments, information about the blogger, etc. The number of comments on each post as well as the number of times it was reposted was also recorded. The key foci of this study include the relationships between the directionality of sentiments expressed in Weibo posts, the intensity of sentiments expressed in Weibo posts, and other variables; and factors that have an impact on the number of comments on a Weibo post and the number of times it is reposted. We found that the sentiment intensity associated with the Weibo post has a highly significant relationship with the number of times the post was commented on and reposted.
Petrographic, geochemical, and geochronologic data for cenozoic volcanic rocks of the Tonopah, Divide, and Goldfield Mining Districts, Nevada

First posted May 21, 2019 For additional information, contact: Director, Geology, Geophysics and Geochemistry Science CenterU.S. Geological SurveyBox 25046, MS-973Denver, CO 80225-0046 The purpose of this report is to summarize geochemical, petrographic, and geochronologic data for samples, principally those of unmineralized Tertiary volcanic rocks, from the Tonopah, Divide, and Goldfield mining districts of west-central Nevada (fig. 1). Much of the data presented here for the Tonopah and Divide districts are for samples collected by Bonham and Garside (1979) during geologic mapping in and around those districts, whereas much of that for samples from the Goldfield district were obtained by Ashley (1974; 1979; 1990a). Additional data were derived from samples collected between 2012–2015, as part of the Mineral Resources Program funded project titled: “Magmatic-tectonic history and component sources of major precious metal deposits in the southern Walker Lane”. A small amount of additional geochemical data for samples from each of the districts were compiled from other sources. Individual sample collectors are identified by appropriate entries in the “Collector” field (appendix 1) and published sources of geochemical data are defined by entries in the “Chem_Src” data field (appendix 1).