Reviewerly/exHarmony huggingface dataset:
Evaluation and Mitigation of Fire Hazard in Traditional Fishing Vessel Port A Case Study: Bajomulyo Fishing Port – Juwana, Pati- Central Java

Pati is a district of Central Java which is known as highly developed fishery industry, especially in the district of Juwana that located in the north coast of Java.In Juwana, there is also a large fishing port named Pelabuan Perikanan (PP) Bajomulyo.The construction of fishing vessel in PP Bajomulyo is dominated by wood structure with fiberglass in her outermost layer.Nowadays, fishing vessels have been using diesel engines as the main prime mover, generator to generate electricity and freezer equipment for freezing the fish.With the large number of combustible materials on fishing vessels, the danger of fire is the greatest hazard that might lead to loss of life and property.A series of fire loss of fishing vessels has occurred in PP Bajomulyo.The loss of property reached tens of billions and some of the victims were injured.This study aims to evaluate potential of fire on fishing vessels in PP Bajomulyo.The study was conducted with qualitative data analysis with the expected results are to prepare preventive actions and fire hazard mitigation.The conclusions of this study can be utilized by governments, stakeholders and local fishermen to prevent life and financial losses and effective mitigation due to fire accident.
Missing Data Recovery in Large Power Systems Using Network Embedding

This paper proposes a novel network-embedding based method to recover the missing measurements in power systems. In particular, we first construct the spatial and temporal graphs to describe both the spatial correlation among the buses in a power flow network and the temporal correlation of the bus states over different time. Secondly, we propose a Softwork algorithm to map the spatial and temporal graphs to low-dimensional spatiotemporal features. Then, we train a regression neural network using the pairs of spatiotemporal features and observed matrix entries. The trained network can then predict the missing measurements. Furthermore, the proposed missing data recovery algorithm can be extended to an online version to recover the missing measurements from streaming data collected in power systems in real time. Numerical experiments on real- world power systems verify the effectiveness of the proposed method. In particular, the proposed method achieves (on average) -55.36 dB, -42.06 dB, -53.26 dB and -45.32 dB relative recovery errors (RREs) for random, row, column and block missing patterns of the voltage magnitude matrix, respectively, which are much smaller than those achieved by the existing methods.
Outlier detection based on cluster outlier factor and mutual density

Outlier detection is an important task in data mining with numerous applications. Recent years, the study on outlier detection is very active, many algorithms were proposed including based on clustering. However, most outlier detection algorithms based on clustering often need parameters and it is very difficult to select a suitable parameter for different data set. In order to solve this problem, an outlier detection algorithm called outlier detection based on cluster outlier factor and mutual density is proposed in this paper. The mutual density and γ density is used to construct decision graph. The data points with γ density anomalously large in decision graph are treated as cluster centres. This algorithm detect the boundary of outlier cluster using cluster outlier factor called cluster outlier factor (COF), it can automatic find the parameter. This method can achieve good performance in clustering and outlier detection which be shown in the experiments.
The Digilantes

Interviews with people who operate criminal record websites, crime watch networks, and social media feeds illustrate how today’s users of criminal records extend well beyond criminal justice officials, data brokers, statisticians, and employers. Instead, civilians use criminal justice data to create online communities that promise to do better report on, respond to, and prevent crime compared to existing structures. These “digilantes” use criminal records, arrest logs, and booking photos in their quest to create better forms of citizen journalism, victim support networks, and neighborhood watch networks. There is a tension centered around whether digilantes’ access to criminal records benefits broader society or whether publishing already public information harms subjects even more. What seems like a privacy violation to a website subject is simultaneously viewed as a social benefit by those who circulate criminal records.
BIG DATA STUDIES: A SYSTEMATIC REVIEW

This systematic review of the progress of big data studies over the period 2009 to 2016 yielded a series of interesting finding.Of the 87 articles analyzed, all from the top information systems or top knowledge management journals, nearly half were published in 2016; more than half were published in just four journals; more than half were written by two or three authors; most were interdisciplinary in nature; and most originated from two countries.
Object Co-Segmentation using Image Processing

Given a lot of pictures that contain objects from a typical classification, object co-division goes for naturally finding and sectioning such regular articles from each picture. In the proposed structure, we initially present the idea of association foundation and use it to improve the power for smothering the picture foundations contained by the given picture gatherings. At that point, we likewise debilitate the necessity for the solid earlier learning by utilizing the foundation earlier. For the feeble foundation earlier, the model which is called the MR-SGS model is utilized. This is characterized as complex positioning with a self-learned diagram structure.it can derive the reasonable chart structures as opposed to fixing diagram structures in a given plan.
Corundum-kyanite eclogite, grospydite and epidote amphibolite of probable subducted slab origin from Paleogene diamondiferous pipes in SW Wyoming

Widespread eclogitic garnet and chromian diopside grains in antmounds in southwestern Wyoming have a proximal source in the Bishop Conglomerate which caps a regional erosion surface (McCandless and Nash, 1996), but the distal sources appear to be at least ten diatremes and dikes intruding the underlying Bridger Formation on the western end of Cedar Mountain.Several diamonds have been reported in drill core from one of these diatremes (Guardian Enterprises, 1995, 1996, 1997) and a few alluvial diamonds also have been found in the region.We have examined the antmounds, conglomerate and diatremes in order to characterize the variety of lithospheric xenoliths and the agent that transported them from depth.Although located halfway between the Qligocene-Miocene lamproites near Francis, Utah and the Plio-Pleistocene lamproites of the Leucite Hills, Wyoming (Mitchell and Bergman, 1991), the Cedar Mountain magmatic phase appears to have neither lamproitic nor kimberlitic affinities.All three localities lie along the southern margin of the Wyoming Craton, yet the xenolith types in the Cedar Mountain pipes suggest that any diamonds might be of shallow subduction origin rather than being derived from a deep cratonic keel. Geologic Setting and Age
(Invited) Binary Stochastic Neurons and Compound Synapses from Nano-Magnets

In this presentation I will introduce the nCORE center CAPSL’s activities towards a probabilistic spin logic for Boolean and Non-Boolean computing. While magnetic materials in storage devices are part of our electronic world since many decades and are explored more recently by the semiconductor industry for memory applications such as Spin-transfer torque magnetic random-access memory (STT-RAM), spin based devices for logic applications are still in their infancies. Mimicking a CMOS type logic with magnets requires a “ Write ” and a “ Read ” unit as well as proper input/output isolation. Based on this, a device concept in which i) charge-to-spin conversion occurs through the Giant Spin Hall Effect (GSHE) [1], ii) dipolar coupling mediates the information transfer from a magnet in the Write unit to another one in the Read unit, and iii) a magnetic tunnel junction (MTJ) is used as the Read unit was proposed in 2012 under the name charge spin logic (CSL) [2]. Next, I will explain in how far the use of low-barrier magnets cannot only help to reduce power consumption of CSL devices but introduces a conceptually new way of computing through the introduction of “tunable randomness”. This idea, that is also known as probabilistic spin logic (PSL), was introduced in 2017 [3] and uses a counterintuitive aspect of magnets, namely their capability of creating a truly random magnetic signal if low-barrier circular nano-magnets are used. In particular, I will connect PSL with activities in the realm of quantum computing as well as neural networks. [1] L. Liu, C.-F. Pai, Y. Li, H. W. Tseng, D. C. Ralph, and R. a. Buhrman, Science 336 , 555 (2012). [2] S. Datta, S. Salahuddin, and B. Behin-Aein, Applied Physics Letters 101 , 252411 (2012). [3] K. Y. Camsari, R. Faria, B. Sutton and S. Datta. Physical Review X 7 , 031014 (2017).
Introduction

Data-driven criminal justice creates millions of records each year in the United States. Documenting everything from a police stop to a prison sentence, these records take on a digital life of their own as they are collected and posted by police, courts, and prisons, and then re-posted on social media and websites, and bought and sold by data brokers as an increasingly valuable data commodity. The result is “digital punishment,” where mere suspicion or a brush with the law can have lasting consequences. This analysis describes the transformation of criminal records into millions of data points, the commodification of this data into a valuable digital resource, and the impact of this shift on people, society, and public policy. The consequences of digital punishment, as described in hundreds of interviews detailed in this book, lead people to purposefully opt out of society as they cope with privacy and due process violations.
The Psychological Healing Function of the Buddhist Scripture Parables -Focusing on the Lotus Sutra-

Religion and Education after the Corona Pandemic - From the Perspective of Korean Integral Studies for Faith(信學) and Humanity(仁學) - Corona Pandemic;religious Education;Korean Intergral Studies for Faith;transcendental Vaccine;Toegye’s Ten Diagrams on Sage Learning;Peter Slotterdike’s Anthropotechnik
Website Reputation System

Because of the fast development of the web, sites have turned into the interloper’s principle target. As the quantity of web pages expands, the vindictive pages are likewise expanding and the assault is progressively turned out to be modern developing different ways to trick a client into visiting malicious websites extracting credential information. This paper presents a detailed account of ensemble based machine learning approach for URL classification. Models already existing either use outdated techniques or limited set of features in their attack detection model and thus leads to lower detection rate. But ensemble classifiers along with a selection of robust feature list for single and multi attack type detection outperform all the previous deployed techniques. Focus of the study is being able to come up with a system model that yields us better results with a higher accuracy rate.
THE INTELLIGENT SYSTEMS FOR LANGUAGE PHONETIC INTERFACES

The project aims to develop intelligent natural language analysis tools.The aim of the project is to formalize the interpretative approach in the study of perception and understanding of language interfaces.The project implements an expert system of psychophonetic analysis in the field of onomastics.The system is designed for psychological diagnostics of anthroponyms in the Russian language.The project offers a research technique for the psychophonetic study of naming in natural language.The project discusses the formalization of psychophonetic functions of the mental lexicon.The subject of the analysis is the psychological structure of phonosemantic decoding of nouns.A psychometric model is proposed for calculating the interpretation functions of the psychophonic meaning of names.The research solution includes mobile software application for IOS and Android (smart-test 'What's Name').
Active Sound Quality Control Using Auditory Sensing Strategy

Abstract：Current active sound quality control systems just control psychoacoustic parameters, thus their ability of improving sound quality is insufficient.A new active sound quality control based on auditory sensing strategy is proposed.To incorporate nonlinear auditory characteristics into the new system, an auditory sensing model including outer/middle ear model and inner ear model is established.To take into account the feedback effect of hair cells on the motion of basilar membrane during modeling basilar membrane, the gammatone filter band with time-varying bandwidth is used, which can simulate the nonlinear characteristics of hearing perception in frequency and intensity.By using auditory sensing strategy, the system objective is changed from minimizing sound pressure to minimizing auditory signal.Furthermore, the control structure and algorithm for the new system are developed.To solve the problem of computational complexity and slow convergence speed caused by the adding of auditory sensing module, an auditory control algorithm which base on filtered-x least mean square algorithm and combine the delay-compensated structure with inverse model structure is proposed.Active control of a noise recorded in a car with speed of 50km/h is simulated and sound qualities before and after active control are compared and analyzed.It is indicated that auditory signal control can achieve better auditory comfort than sound pressure control.
Simulation Optimization of Backrest Mechanism of Separable Bed Chair System

Research and design an intelligent bed and chair integration system for assisting inconvenient mobility and aging population. The system consists of a removable detached wheelchair and a c-shaped bed with a fixed structure. The user can switch freely between the mobile wheelchair and the bed to meet the user's requirements of free movement and repositioning.Through the simulation software to analyze the movement characteristics of the bed backboard, the angle of the take-off and landing of the backboard and the sudden change of the take-off and abrupt angular velocity will cause the user to have dizziness and discomfort. In the case of determining the speed of the driving push rod, the relationship between mechanism parameters and installation parameters is the key to affect the lifting rate of the rear plate. Modeling and analysis of each mechanism is performed to determine the relationship between the mechanism parameters and the take-off and landing speed of the backplane. After optimizing the mechanism, the simulation is compared again to obtain the optimal solution. Finally, the optimal solution parameter is the final solution to improve the overall comfort of the nursing bed.
Robotics: Manipulation

This topic will talk about the different ways in which robotics can interact with its environment. It will dive into different actions necessary such as seeding, weeding, picking, spraying. It will not discuss the mechanical aspects in high details, but will be more in depth about the use of sensors and the decision making and reasoning of the way of work. It will also discuss the choices that need to be considered while designing for specific applications. Then this topic will also briefly mention data and monitoring applications, where the focus is mainly on the software capabilities, and not the hardware.
Blockchain and it’s Applications in Various Fields

Automatic international has delivered efficiencies, new ingenious items, and close customer connections all round with the aid of the a success usage of transportable, IoT (net of factors), on-line life, exam and cloud innovation to create models for higher selections. Blockchain is as of late presented and altering the computerized global conveying some other point of view to security, flexibility and effectiveness of frameworks. at the same time as at the start promoted via Bitcoin, Blockchain is considerably greater than an established order for virtual foreign money. It gives a secure technique to trade any sort of right, management, or change. Mechanical development regularly is based upon confided in organizations; but expanding manage, cybercrime and extortion are repressing extension. To cope with these difficulties, Blockchain will empower more mild-footed esteem chains, quicker object improvements, nearer consumer connections, and swifter incorporation with the IoT and cloud innovation. Facilitate Blockchain furnishes a decrease price of trade with a believed contract checked without mediation from outsider
Certificateless Bilinear Quantum Mutual Exclusive Signcryption for Data Security in Cloud

Signcryption perform both encryption and signature verification simultaneously with minimum computational time and overhead when compared to that of the traditional signature model. Certificateless Sigcryption rectifies issues corresponding to the key escrow problem and hence reducing the key management in the traditional key cryptography in Cloud environment. There has been some Certificateless Signcryption methods proposed, most of which are proved secured using the proxy pairing operations. However, with proxy pairing found to be computationally difficult in understanding and with the discrete operation reducing the advantages gained from smaller key size, data security is said to be compromised. To address this issue, in this work, a method called, Bilinear Quantum Mutual Exclusive Signcryption (BQ-MES) for data security in cloud environment is presented based on quantum principles. The new method inherits the security of bilinear mapping along with quantum, which possesses lower computation complexity than proxy operations, employed in signcrypting data in cloud environment. In the BQ-MES method, only a designated authorized cloud user recovers the data stored in the cloud via cloud service provider by verifying the validity of a signcrypted data. This is performed using Mutually Exclusive Probability model. Experimental works are conducted on the parameters such as computational time, computational overhead and data security rate. By evaluating the performance with related schemes, results show that the data stored in cloud environment is secured using BQ-MES method and computationally efficient.
Rb-Sr and U-Pb age determinations on southern African kimberlite pipes

Radiometric age determinations were undertaken on 15 kimberlite occurrences in Southern Africa, emphasis being placed on a wide areal distribution of occurrences, and on occurrences for which pre-Karroo ages are indicated by field relationships.The Rb-Sr method, applied to mica (usually phlogopite), was used where possible.An alternative method, utilising the U-Pb isochron approach on whole rock and perovskite-enriched samples, was tested with a view to its application on samples devoid of mica.Rb-Sr ages.New Rb-Sr age measurements are listed below.Other data by the same method are given in Allsopp and Barrett (1975).Further measurements are still in progress, for which reason the new data may be subject to minor rev¬ ision.A value of 1.39 x lO"^^ yr"^ was used for the^^Rb decay constant.Letseng-la-Terai, a pipe which cuts the uppermost Drakensberg basalts (age 180 m.y., Fitch and Miller, 1971) in Lesotho yielded mica ages of 380, 580 and 660 m.y.The pipe contains abundant basement xenoliths and the data may reflect incorporation of basement mica.Microprobe examination of the mica in question is in progress.Finsch, in the northern Cape Province, yielded two ages of 130 and 170 m.y..These data are compatible with the post-Karroo field relationship of this pipe.Njoio and Tchivira, two intrusions with kimberlitic affinities in central Angola, were dated using mica and K-feldspar, and the result obtained was 130 + 10 m.y..
Modal Logic

Let us start byLogicmodal al-Fārābī’s classification of the modal propositions.
Social Simulations Teach Engineering Student to Gain 'Buy-In' for Human Factors

Social Simulations Teach Engineering Student to Gain 'Buy-In' for Human Factors
Development of Retrieval System using Color from Multi Segments and Shape features from Images as Combination

The world of digital information has been generous to produce large data. The task of finding similar images in such a vast repository in real-time is very challenging. In this paper, Content Based Retrieval System is proposed to retrieve similar images with a novel approach of combining the image features like color and shape. The work includes extraction of color feature from images by dividing them into five significant portions, which emphasizes on center portion of an image where object may reside. This process is carried out and represented using color histograms. Next, shape features are extracted using Hu - moments for the entire image. Later, by combining these two features, similar image retrieval is done based on a query. Various trials of retrieval have been carried out with different categories and results are tabulated. These results are compared with existing works and shows high performance.
Feature vector sharing and scale comprehensive optimisation for targets detection in smart neighbourhood governance and monitoring

This article proposes feature vector sharing and scale comprehensive optimisation strategy of image target detection and recognition method of complex street maximum suppression based on the calculation of the corresponding feature area corresponding to the feature map and completely complete eigenvector. Based on this, this article also combines a fine-tuning method based on transfer learning generalisation, which is suitable for non-convex optimisation and high-dimensional space. First, the method described above implements the optimal rectangular selection box competition based on the scale comprehensive optimisation strategy, and selects the selection box that can reflect the core essence of the target in each classification set. Then, this article realises the model of detecting image target in complex neighbourhood, which improves the accuracy and robustness. Furthermore, we experimentally demonstrate that the accuracy and robustness of our proposed method are superior to those of conventional methods.