Reviewerly/exHarmony huggingface dataset:
Shapes and Context: In-the-Wild Image Synthesis & Manipulation

We introduce a data-driven approach for interactively synthesizing in-the-wild images from semantic label maps. Our approach is dramatically different from recent work in this space, in that we make use of no learning. Instead, our approach uses simple but classic tools for matching scene context, shapes, and parts to a stored library of exemplars. Though simple, this approach has several notable advantages over recent work: (1) because nothing is learned, it is not limited to specific training data distributions (such as cityscapes, facades, or faces); (2) it can synthesize arbitrarily high-resolution images, limited only by the resolution of the exemplar library; (3) by appropriately composing shapes and parts, it can generate an exponentially large set of viable candidate output images (that can say, be interactively searched by a user). We present results on the diverse COCO dataset, significantly outperforming learning-based approaches on standard image synthesis metrics. Finally, we explore user-interaction and user-controllability, demonstrating that our system can be used as a platform for user-driven content creation.
Phishing Web Sites based Detection and Removal using Machine Learning

Internet is an important a part of our life. Web users will be affected from completely different types of cyber threats. Therefore cyber threats could attack financial informa- tion, personal data, online banking and e-commerce. Phishing could be a form of cyber threats that’s targeting to urge personal information like credit cards data and Social Security numbers. There‘s not a selected solution that may sight whole phishing attacks. During this study, we  projected  an  intelligent  model for detecting phishing websites supported Extreme Learning Machine. Forms of websites are completely different in terms of their options. Hence, we tend to should use a selected web content options set to forestall phishing attacks. So these anti phishing techniques are largely machine learning primarily based within which completely different options are used that are extracted from numerous sources. During this paper, we present the survey of fraud web site detection approaches.
NAHSL: NAHSL Conference 2019: Exhibits & Sponsors

The official website for NAHSL 2019: November 8, 2019, located at Sheraton Springfield at Monarch Place, Springfield, MA.
Industry Talk

In a few short years, the Function-as-a-Service paradigm has revolutionized how we think about distributed event processing. Within seconds, developers can deploy and run event-driven functions in the cloud that scale on demand. CIOs love the high availability and zero administration. CFOs love the fine-grained, pay-as-you-go pricing model.
Research on Traditional Structure Optimization in Cloud Computing Environment

This paper discusses the structure and optimization of current cloud computing system, focuses on the research objectives of reducing costs, improving the reliability and scalability of the original structure, and introduces the layout technology and the latest research progress of cloud computing. Given the limitations of new cloud computing applications and cloud computing, our paper also explores and looks forward to future research directions.
APPLICATION OF ICT BASED CONTEXTUAL APPROACH TO IMPROVE WRITING SHORT STORY SKILL AND LEARNING INTEREST OF SENIOR HIGH SCHOOL STUDENTS

The research is a quasi- experintal research which background is the low motivation of short-story writing eleventh grader high school students. The purpose of this research is to review students short-story  writing  ability using ICT-based contextual approach and normal approach. The random sample choice in this research in the students of eleventh grader of SMA Padalarang students with 30 sample students for experiment class and 28 students sample for control class. Based on data sample processing using SPSS 22 for windows from result of data processing obtained the significance value is 0,02 because the significance value >0,05 then is rejected, result show that the learning using ICT-based contextual  approach is better than normal leaning.
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times

A new mechanism for efficiently solving the Markov decision processes (MDPs) is proposed in this paper. We introduce the notion of reachability landscape where we use the Mean First Passage Time (MFPT) as a means to characterize the reachability of every state in the state space. We show that such reachability characterization very well assesses the importance of states and thus provides a natural basis for effectively prioritizing states and approximating policies. Built on such a novel observation, we design two new algorithms -- Mean First Passage Time based Value Iteration (MFPT-VI) and Mean First Passage Time based Policy Iteration (MFPT-PI) -- that have been modified from the state-of-the-art solution methods. To validate our design, we have performed numerical evaluations in robotic decision-making scenarios, by comparing the proposed new methods with corresponding classic baseline mechanisms. The evaluation results showed that MFPT-VI and MFPT-PI have outperformed the state-of-the-art solutions in terms of both practical runtime and number of iterations. Aside from the advantage of fast convergence, this new solution method is intuitively easy to understand and practically simple to implement.
A rollout strategy for cybersecurity awareness

Copyright: 2019 The Authors. Published in Proceedings of the 14th International Conference on Cyber Warfare and Security ICCWS 2019, 14th International Conference on Cyber Warfare and Security (ICCWS 2019), Stellenbosch, Cape Town, South Africa, 28 February- 1 March 2019
Big Data and Probably Approximately Correct Learning In The Presence of Noise: Implications For Financial Risk Management

High accuracy forecasts are essential to financial risk management, where machine learning algorithms are frequently employed. We derive a new theoretical bound on the sample complexity for Probably Approximately Correct (PAC) learning in the presence of noise, and does not require specification of the hypothesis set |H|. We demonstrate that for realistic financial applications where |H| is typically infinite. This is contrary to prior theoretical conclusions. We further show that noise, which is a non-trivial component of big data, has a dominating impact on the data size required for PAC learning. Consequently, contrary to current big data trends, we argue that high quality data is more important than large volumes of data. This paper additionally demonstrates that the level of algorithmic sophistication, specifically the Vapnik-Chervonenkis (VC) dimension, needs to be traded-off against data requirements to ensure optimal algorithmic performance. Finally, our new Theorem can be applied to a wider range of machine learning algorithms, as it does not impose finite |H| requirements. This paper contributes to theoretical and applied research in the domain of machine learning for financial applications.
An Electricity Blockchain Transaction Privacy Protection Scheme based on Homomorphic Encryption

An electricity blockchain based on smart contract is designed by introducing decentralization into smart grid in this paper. The data in blockchain may reveal user privacy due to transparency. Therefore, a blockchain privacy protection scheme based on additive homomorphic encryption algorithm is proposed. The electricity and account balance of users are encrypted by the homomorphic encryption algorithm in the scheme to realize the confidentiality of data ensuring electricity billing. Finally, the security of the scheme is proved and the performance of the scheme is analyzed. The encryption algorithm of the scheme has less computational complexity and higher efficiency.
AMRec: An Intelligent System for Academic Method Recommendation.

Finding new academic Methods for research problems is the key task in a researcher's research career. It is usually very difficult for new researchers to find good Methods for their research problems since they lack of research experiences. In order to help researchers carry out their researches in a more convenient way, we describe a novel recommendation system called AMRec to recommend new academic Methods for research problems in this paper. Our proposed system first extracts academic concepts (Tasks and Methods) and their relations from academic literatures, and then leverages the regularized matrix factorization Method for academic Method recommendation. Preliminary evaluation results verify the effectiveness of our proposed system.
I robot possono avere diritti

From years all have been using, owning, managing refrigerators, cars and telephone. In practices, machines. Yet no one has ever thought, until now, that such machines could be holders of rights. Machines, up to now, have been “objects” of rights (property, possession, responsibility) and certainly not “subjects”. Why? For the simple reason that only recently these machines have begun to have their own forms of artificial intelligence that start to make them doubt that they can assume a certain autonomy of decision-making. So these machines can be holders of their own legal situations? Robots one hundred years ago were only a Karel Capek’s literary invention. A fascinating invention for the immediate development that robots have had in the science fiction literature of the following years. At the point of getting a visionary like Asimov to establish the laws of robotics. It was 1942. But today we are really at the point of having to write these laws. Not only because they are profoundly changing the rights of human beings, but also because they are starting to formulate their own machine rights.
Diagnostic Accuracy of Prostate Specific Antigen for the Detection of Malignancy in Breast Tumors Keeping Histopathology as GoldStandard

Background/objective: Breast cancer is a major concern worldwide and causes one of the highest numbers of causalities. The general approach for the evaluation of breast cancer has become formalized as triple assessment: clinical examination, imaging (usually mammography, ultrasonography, or both), and needle biopsy. Prostatespecific antigen (PSA) has been reported to be a potential biomarker of breast cancer. The objective of the present study was to determine the diagnostic accuracy of Prostate specific antigen for the detection of malignancy in breast tumors keeping histopathology as the gold standard. Subjects and methods: This cross-sectional study was conducted at the Department of Pathology, Quaid-e-Azam Medical College, Bahawalpur Victoria Hospital Bahawalpur from April 15, 2013, to October 14, 2013. All the patients with breast lump attending Surgery Outpatient Department were included in the study. Blood samples were collected in 5 ml sterile syringes on the same day before the FNAC was done. The total prostate-specific antigen of patients was assessed by commercially available ELISA kits and values >5 ng/L were labeled as positive. Results: Total of 230 patients were included in the study. The mean age of patients was 42 years with a standard deviation of 11.681 years. About 182 patients had breast cancer on histopathology while 160 patients were positive for PSA. PSA was found to be 78.2% precise in detection, the sensitivity of 80.2%, specificity of 70.8%, and positive predictive value of 91.2% and negative predictive value of 48.5%. Conclusion: Prostate specific antigen (PSA) has significant diagnostic accuracy in breast cancer and can be used as a diagnostic and prognostic marker of breast cancer in women.
A Study on Women Soldiers Vulnerable to Job Competencies and Re-employment Training Needs Analysis

본 연구에서는 2018년 7월부터 2018년 8월까지 188명의 여군을 대상으로 한 설문조사를 통해 여군들이 보유하고 있는 지식과 직무능력을 확인하고, 취업역량의 정도를 측정하였다. 분석단계에서는 KNOW 시스템을 활용해 여군들이 가지는 상대적 우위의 직업(군)을 도출하고, 더불어 복무기간, 복무구분, 병과구분 등 취업에 결정적 영향을 주는 개인별 특성에 따른 보유역량 차이 분석을 통해 취업지원에 필요한 교육정보를 도출하였다. 연구결과는 다음과 같다. 첫째, 여군의 업무수행능력은 논리적 분석, 행동조정, 글쓰기, 학습전략 순으로 높게 나타났으며, 특성에 따른 차이는 다소 있으나 전체적으로 높은 역량의 항목은 일치하였 다. 둘째, 여군이 일반인 우위를 가지고 있는 역량은 업무수행능력 28개, 지식능력 20개로 총 48개 역량으로 나타났다. 셋째, 여군이 상대적 우위를 가지는 직업(군)은 교육관련 직업에서 155개로 가장 많았으며, 다음은 건설관련 직업 137개, 관리 관련 132개, 사회복지 관련 122개 순으로 나타났다. 마지막으로 교육요구 분석결과는 업무수행능력에서는 읽고 이해하기, 말하기, 듣고 이해하기, 선택적 집중력, 사람파악, 문제해결, 판단과 의사결정, 시간관리, 기억력 등의 역량과 지식능력에서는 경영 및 행정, 사무, 심리, 교육 및 훈련, 국어, 영어, 안전과 보안, 법, 의사소통과 미디어 등의 역량 함양을 위한 노력이 요구됨을 알 수 있었다.The purpose of this study is to employed the military holds them competencies analysis and search for a suitable job positions, along with those that want to analyze training needs for re-employment. The results of the study are as follows, First of all, the ability to perform the work lives of Korean woman soldiers is a logical analysis, behavioral adjustment, in order of writing, learning strategies, service light, bottles, high rank, education, etc., due to the difference between the characteristics somewhat, but overall, the items in the matching high competency. Secondly, the army has the ability to dominate the public’s ability to perform the work of 28, 48 out of a total of 20 knowledge skills competence. Third, women soldiers in a competitive profession, education and research 155, construction and machinery sectors 137, management and business sectors 132, were analyzed by the social welfare sector 122. Finally, the training needs analysis results is to read and understand, speak, memory, problem sol
Strange Loops and Circular Tones

Chapter 4 explores a class of musical illusions and paradoxes that involve the circular dimension of pitch. Pitch can be described in terms of two dimensions. The first is called <italic>pitch height</italic>, which can be experienced by sweeping one’s hand from left to right up a piano keyboard. The second is a circular dimension known as <italic>pitch class,</italic> which defines the position of a tone within the octave. Circularity effects in music are analogous to many of the visual works of M. C. Escher, and have been employed in music for hundreds of years. However, with the advent of computer music, striking pitch circularities became possible. The circular scales invented by Roger Shepard (based on Shepard tones) and circular glides invented by Jean-Claude Risset are explored. These remarkable illusions of ever-increasing (or ever-decreasing) pitch are presented as sound examples. They have powerful emotional effects, and their influence in musical compositions, such as the soundtracks and sound design of <italic>The Dark Knight</italic> and <italic>Dunkirk,</italic> is described. A new way of producing pitch circularity, which was invented by the author, is also discussed. This new algorithm can be used with natural instrument sounds, and so opens the door to new compositional opportunities.
Granular Knowledge Cube

Throughout the previous chapters, the theoretical basis has been laid out, which will be used and referred to within this and the forthcoming chapters, as the conceptual design for a tool will be gradually introduced that can be used to measure and determine the knowledge users hold. First, a novel approach for extracting, representing and structuring knowledge will be introduced, which relies on a so-called granular knowledge cube. This construct provides the necessary insights and capabilities, needed to classify type and level of knowledge that persists. In Sect. 5.1, the intended use of the granular knowledge cube will be elaborated, followed by influences that shaped its design in Sect. 5.2. An overview, of its conceptual design is provided in Sect. 5.3 before potential implementation possibilities and approaches are revealed in Sect. 5.4.
A Study on Civilian-Military Conflict on THAAD Placement

이 연구의 목적은 사드배치를 둘러싼 갈등요인 분석을 통해 민군 갈등관리 해결방안을 제시하는 것이다. 이를 위해 시스템 이론에 기초하여 각종 언론매체에서 사드문제를 사설이나 논평으로 제기된 내용을 종합하여 유형화 분류하고 이를 분석하였다. 연구결과 현재 민군갈등 해결 시스템의 한계로 민군 상호간의 사전 소통의 부재를 탐색하였다. 또한 국책사업을 추진하는 과정에서 직접적인 이해관계자인 지역주민들과의 충분한 소통이 이루어지지 않은 상태에서 추진됨으로써 갈등과 사회적 비용을 가져왔다. 따라서 국가안보와 직결된 사업추진의 갈등예방을 위해서는 사전에 충분한 준비와 예방활동이 중요하다는 점과 선제적 민군갈등해결 시스템을 필요성을 보여주었다. 이에 대해 소통과 시스템화된 해결방안을 토대로 갈등의 순기능은 활용하되 장기화되는 것은 지양해야 할것이다The purpose of this study is to propose solutions for civilian-conflict management through the analysis of conflict factors surrounding the THAAD placement in Korea. Based on system theory, we classified conflicting factors of THAAD found in various editorials and commentaries by type and analyzed accordingly. We pointed out the lack of communication between civilian and military as a major barrier of the existing resolution system for civilian-military conflict. The implication is that the preliminary preparation and prevention activities are critical for conflict resolution in national projects and the preemptive conflict resolution system can handle civilian-military conflicts that continue to arise due to the conflicts between national security and private interests. On the basis of communication and systematic solutions, it is necessary to utilize positive aspects of conflict but avoid prolonged conflicts.
The Perceptual Organization of Streams of Sound

Chapter 3 first explores the principles by which we organize elements of an array into groupings. The Gestalt psychologists proposed a set of grouping principles that have profoundly influenced the study of hearing and vision ever since—these include “proximity,” “similarity,” “good continuation,” “common fate,” and “closure.” Passages of conventional tonal music illustrating these principles are described, along with several illusions and other surprising characteristics of music and speech, all presented as sound examples. They involve the segregation of pitch sequences into separate streams based on proximity in pitch or in time, and also on timbre or sound quality. Figure–ground relationships, analogous to those in vision, are also discussed. Much information arrives at our sense organs in fragmented form, and the perceptual system needs to infer continuities between the fragments, and fill in the gaps appropriately. It is shown that this occurs in both music and speech. We have evolved mechanisms to perform these tasks, but these mechanisms often fool us into “hearing” sounds that are not really there. Another approach to perceptual organization in music exploits the use of orchestral sound textures to create ambiguous images. This approach has been used to excellent effect in 20th-century music such as film scores; for example, it contributes to the mysterious ambience in Stanley Kubrick’s <italic>2001: A Space Odyssey</italic>.
Analisis Penentuan Lokasi Potensial Shelter Evakuasi dan Desain Evakuasi untuk Bencana Banjir di Kelurahan Sumber, Kecamatan Banjarsari

Indonesia is one of the countries whose territory is prone to natural disasters such as geological and hydrometeorological hazards. Hydrometeorological disasters rank first in a disaster that often occurs in Indonesia. Banjarsari Subdistrict, especially in the Sumber Village, frequent floods due to overflowing of the Pepe River and Kali Gajah Putih for example in 2009 and 2015. As a result of the disaster many affected residents were displaced. The purpose of this study was to find out about flooding prone areas based on Participatory GIS (PGIS), analyzing the potential of evacuation shelter and evacuation routes for floods in the Sumber Village. The method used is survey and census on the object of research. The method of sample collection is done by purposive sampling technique. Primary data is taken from aerial photographs using a drone and then identified. Flood hazard analysis used the PGIS technique Analysis and analysis of determining temporal protection templates and evacuation designs using the scoring method and accessibility modelling (cost distance). Based on the results obtained by flood-prone areas in the east of Sumber Village, an area of 39.35 ha. Flood-prone areas are in RW 1, 2, 3, 4 and 6. There are 13 locations of public facilities that have the potential as evacuation shelter, namely in the Rohmah Mosque, Hamzah Bin Abdul Muhtholib Mosque, Masyithoh Mosque, Ar-Rahman Mosque, GBI Sumber Tirtayasa, SDN Sumber 3, STIE Wijaya Mulya, Surakarta BK Vocational School, Sumber Village Office, SDN 2 Sumber, SDN 1 Sumber, SDN 4 Sumber, and Graha Saba Buana. Then there are 4 evacuation blocks and 8 best evacuation routes for evacuation due to the flood disaster.
PENGARUH TEKNOLOGI INFORMASI, KEMAMPUAN TEKNIK PEMAKAI, DUKUNGAN MANAJEMEN PUNCAK DAN KOMPLEKSITAS TUGAS TERHADAP KINERJA SISTEM INFORMASI AKUNTANSI

The purpose of this study was to analyze the effect of information technology, user technical capabilities, top management support and task complexity on the performance of accounting information systems. This type of research is a survey of employees of PT. PLN (Persero) APJ Surakarta. The research population was 30 people and the whole was used as a research sample with population research techniques. Data collection techniques used questionnaires. Data analysis techniques used multiple linear regression. The results showed that information technology has a positive and significant effect on the performance of the accounting information system at PT. PLN (Persero) APJ Surakarta. User technical capabilities has a significant positive effect on the performance of the accounting information system at PT. PLN (Persero) APJ Surakarta. Top management support has a positive and significant effect on the performance of the accounting information system at PT. PLN (Persero) APJ Surakarta. Task complexity has a positive but not significant effect on the performance of the accounting information system at PT. PLN (Persero) APJ Surakarta. Keywords: information technology, user technical capabilities, top management support, task complexity, accounting information system performance
Rule of when posting to main ...

Rule of 👍 when posting to main #IndieWeb chat... If someone who has never built a website stopped by could they understand my post?If answer
Enhancing awareness & use of e-resources in academic libraries: Some initiatives at Punjab Agricultural University Library

With the rapid advancement of information and communication technologies libraries are undergoing transformation.  The paradigm shift from stand- alone libraries to library and information networks provide seamless access to internet based services. E-resources have emerged as global information highways and are being added to library. These are becoming important because of its fast searching and anytime, anywhere availability even at remote place. Keeping user informed about newly added resources or services result in effective use of the same which is the main goal of any library. This article discusses about various e-resources available in PAU library and policies & programmes adopted   for their promotion and effective use.Keywords: User Education, E-literacy, E-services and User Education, ICT Services
Efficient Neural Network Architecture Search

One-Shot Neural Architecture Search (NAS) is a promising method to significantly reduce search time without any separate training. It can be treated as a Network Compression problem on the architecture parameters from an overparameterized network. However, there are two issues associated with most one-shot NAS methods. First, dependencies between a node and its predecessors and successors are often disregarded which result in improper treatment over zero operations. Second, architecture parameters pruning based on their magnitude is questionable. In this thesis, classic Bayesian learning approach is applied to alleviate these two issues. Unlike other NAS methods, we train the over-parameterized network for only one epoch before update network architecture. Impressively, this enabled us to find the optimal architecture in both proxy and proxyless tasks on CIFAR-10 within only 0.2 GPU days using a single GPU. As a byproduct, our approach can be transferred directly to convolutional neural networks compression by enforcing structural sparsity that is able to achieve extremely sparse networks without accuracy deterioration.