Miracle-dz/UniFAR-FTUs huggingface dataset:
A framework for evaluating mixture analysis algorithms

In recent years, several sensing devices capable of identifying unknown chemical and biological substances have been commercialized. The success of these devices in analyzing real world samples is dependent on the ability of the on-board identification algorithm to de-convolve spectra of substances that are mixtures. To develop effective de-convolution algorithms, it is critical to characterize the relationship between the spectral features of a substance and its probability of detection within a mixture, as these features may be similar to or overlap with other substances in the mixture and in the library. While it has been recognized that these aspects pose challenges to mixture analysis, a systematic effort to quantify spectral characteristics and their impact, is generally lacking. In this paper, we propose metrics that can be used to quantify these spectral features. Some of these metrics, such as a modification of variance inflation factor, are derived from classical statistical measures used in regression diagnostics. We demonstrate that these metrics can be correlated to the accuracy of the substance's identification in a mixture. We also develop a framework for characterizing mixture analysis algorithms, using these metrics. Experimental results are then provided to show the application of this framework to the evaluation of various algorithms, including one that has been developed for a commercial device. The illustration is based on synthetic mixtures that are created from pure component Raman spectra measured on a portable device.
The use of quoting to preserve context in electronic mail dialogues

This paper reports a survey on how users maintain context in an electronic mail (e-mail) dialogue and, in particular, the use of quoting as a response strategy. The target group belonged to a community of experienced users of computer-mediated communication systems: readers of Usenet newsgroups. The results showed that quoting a message, i.e., including it in a comment or reply, was a widely used technique in e-mail dialogues, but that the majority of respondents used it selectively. Factors that affected the use of quoting were the category of receiver and the length and nature of the message. Contrary to expectations, the results showed that users perceived the use of quoting as contributing to the sense of conversation when communicating in e-mail. >
Incidence of Contrast-Induced Nephropathy And Its Contribution Factors After Cardiac Catheterization in Type II Diabetic Patients

Objective: To evaluate the incidence of contrast-induced nephropathy (CIN) and its contributing factors after cardiac catheterization in type II diabetic patients. Study Design: Cross sectional study.Place and Duration of Study: Choudhary Pervaiz Ellahi Institute of Cardiology (CPEIC), Multan for six months, from Aug 2016 to Mar 2017. Material and Methods: This cross sectional study was conducted and completed in the department of cardiology Choudhary Pervaiz Ellahi Institute of Cardiology (CPEIC), Multan for six months (August 2016 to March 2017). Before start of the study ethical approval was obtained from hospital ethical board/committee; informed consent was taken from patients and their attendants after complete information and they were also ensured about their confidentiality. All collected data was aligned and entered in a computer software SPSS version 23.1 and data was analyzed. Mean ± SD values were calculated and presented for quantitative data variables like age, similarly frequency (percentages) were calculated and presented for qualitative variable data like gender. After stratification of data, student chi square test was used to see effect modification. A p-value ≤0.05 was considered as significant. Results: A total number of 255 patients were included in the study. All patients were admitted for cardiac catheterization. Participants of the study were divided into two groups on the basis of CIN presence. Group A consisted of 210 patients who didn’t develop contrast-induced nephropathy (CIN) after catheterization of coronary artery. Group B consisted of 45 patients of CIN after catheterization of coronary artery. It was found that incidence of CIN in diabetic patients with micro-albuminuria was 17.64% (n=45). Conclusion: Observation of our study found that diabetic patients either with normal baseline creatinine are at an increased risk of developing CIN after angiography of coronary artery.
Providing the Induction In Data Streams Based On Misclassification Error And GINI Index

:- The most prevalent devices for stream information mining depend on choice trees. In past 15 years, all composed techniques, headed by the quick choice tree calculation, transferred on Hoeffding's imbalance and many scientists took after this plan. As of late, we have exhibited that despite the fact that the Hoeffding choice trees are a viable instrument for managing stream information, they are a simply heuristic strategy; for instance, established choice trees, for example, ID3 or CART can't be embraced to information stream mining utilizing Hoeffding's disparity. Consequently, there is an earnest need to grow new calculations, which are both numerically defended and portrayed by great execution. In this paper, we address this issue by building up a group of new part criteria for order in stationary information streams also, exploring their probabilistic properties. The new criteria, inferred utilizing suitable measurable devices, depend on the misclassification blunder and the Gini record debasement measures. The general division of part criteria into two sorts is proposed. Characteristics picked in view of sort I part criteria ensure, with high likelihood, the most astounding expected estimation of split measure. Sort I criteria guarantee that the picked trait is the same, with high likelihood, as it would be picked in light of the entire limitless information stream. In addition, in this paper, two half and half part criteria are proposed, which are the mixes of single criteria based on the misclassification blunder and Gini record.
Computational Forensic Authorship Analysis: Promises and Pitfalls

The authorship of questioned documents often constitutes important evidence in criminal and civil cases. Linguistic stylistic analysis can often help to determine authorship. Computational methods have been applied to authorship analysis in academia for decades, and in recent years have achieved the levels of reliability needed for application to real-world cases. This article surveys the dierent types of computational authorship analysis methods and their components in a practical vein—describing the assumptions each makes, the analytic controls they require, and the tests needed to measure and ensure their reliability. Specically, I discuss many of the potential pitfalls in their application, to guide practitioners in more eectively achieving trustworthy and understandable results. It must always be remembered, though, that there is no substitute for expertise, experience, and careful human judgment.
Performance enhancement using forward error correction on power line communication channels

The use of forward error correction (FEC) coding is investigated, to enhance communication throughput and reliability on noisy power line networks. Rate one-half self-orthogonal convolutional codes are considered. These codes are known to be effective in other environments, and can be decoded inexpensively in real-time using majority logic decoders. Extensive bit and packet error rate tests were conducted on actual, noisy in-building power line links. Coding gains of 15 dB were observed at 10/sup -3/ decoded bit error rates. A self-orthogonal (2, 1, 6) convolutional code with interleaving to degree 7 was particularly effective, and was implemented as a VLSI microelectronic chip. Its use improved data throughput and packet error rates substantially, at data transmission rates of 9,600 bits/s. >
Exploring adaptive information sharing from the perspective of cognitive switching

Purpose Microblogging as one kind of social media application provides an important information sharing platform. Adaptive information sharing is the combination of adaptive information technologies (IT) use behavior and information sharing behavior and subsequently refers to adaptive use of IT oriented to information sharing. The purpose of this paper is to understand adaptive information sharing in the context of microblogging from the perspective of cognitive switching. Design/methodology/approach A research model was developed and survey data were collected. The partial least squares structural equation modeling was employed to verify the research model. Findings Adaptive information sharing is positively impacted by other people’s use, discrepancies and deliberate initiatives among which other people’s use is the key determinant. Meanwhile, task self-efficacy positively moderates the effect of other people’s use on adaptive information sharing. Practical implications Developers of microblogging should as far as possible create learning atmosphere and learning culture. With learning atmosphere and culture, more and more users could keep on learning from observing other people. Consequently, more and more users would be willing to try new features of microblogging to share information. Originality/value This study examines adaptive information sharing by extending adaptive IT use behavior from the levels of technology, system and feature to the information level, presenting a new lens for adaptive IT use and information sharing alike.
IDENTIFYING REFLECTIVE PRACTICE IN ONE ENGINEERING DESIGN MEETING.

key differences that separate the novices from designers with higher expertise. We were wondering how we could determine if engineers, in a design meeting, were showing reflective practice. An analysis of qualitative data (audio transcripts and sketches from an engineering design meeting) was proposed trying to answer this question. The present work presents the first attempt to understand reflective practice defining the categories related to reflective practice. Research questions We will analyze the transcript from a meeting that was hold by engineers. In the meeting they were designing. We will try to answer the following question: How these engineers reflect while designing? Method A group of engineers conformed by seven people (6 men, 1 women), who were designing a product were recorded in video. The group was facing a situation in which product that was developed may receive no more funding for its development since its market possibilities were not clear and a risk of losing money was perceived by the stakeholders. The dialogues from the meeting were transcribed. The sketches they drew were also collected. In this project we had access only to the audio transcripts and the sketches to solve the research questions. Nvivo was used to code the transcript and the sketches. The author did the coding. one central categories (nodes) were created to interpret occurrences related to Reflective Practice. The actions in which Reflective practice was identified , were categorized based on Schon (1999). Although this author develop his topic mainly based on the idea of one practitioner who is reflecting while acting, we will extend this idea to groups since they have clear behavior that can be understood by using these lenses: the group is reflecting while they are doing design. The following categories (sub nodes) were defined to code their actions as reflective practitioners: Criticize their own assumptions, design domains (drawing), look for changing situation, reflection in action, reframing of the problem, situation talks back, spatial action language – experience the felt path and understanding the situation. Some examples of each category are presented in the following paragraphs.
Recovery in a shared disk parallel database system using DFeRAM

A nonvolatile memory called FeRAM (Ferroelectronic Random Access Memory) is one of the promising memory devices. This paper presents a dual plane FeRAM (DFeRAM) architecture for recovery in the shared disk parallel database system. This paper also presents a recovery algorithm based on a shadow paging method using a DFeRAM architecture. We compare the performance of the log based method and that of our method based on simulation results, which show that our method is better than the log based method when both methods use a nonvolatile memory.
Using Grey Student-Problem Chart in the Evaluation of Tests with Large Data Sets

High effective assessment methods need to be designed to reflect the variety of achievement targets in teaching and learning process. The purpose of this paper is to propose using Grey Student Problem (GSP) chart in evaluating the test with large data sets. This method applied criteria reasonably to evaluate data on the basis of statistics and sorting in order of priority criteria. The experimental results of this method have been compared with results processed by previous model as Item Response Theory (IRT) one-parameter logistic (1PL) model to determine the suitability of method. This comparison result showed that the fit between two methods was very high, moreover, the proposed method showed its advantage that was simple and easy to apply. Especially, it was not only best for handling small samples but also applicable for large statistical data. This new assessment method is a more convenient way for teachers and education managers to carry out the evaluation in teaching and learning process.
Model Based Feature Extraction Method for Myocardial Infarction Detection

The electrical activity of the heart represented by the electrocardiogram (ECG) has been widely used for the detection of heart diseases. Long-term records require the automatic detection of cardiac events. In this work, the detection of myocardial infarction (MI) is performed by means of novel ECG features based on a synthesis ECG model previously described in the literature. The model consists of a sum of five Gaussians centered on each wave of the ECG (P, Q, R, S and T). Each Gaussian is fully specified by three parameters; location in time, amplitude and broadness. By fitting this set of Gaussians, and performing numerical and nonlinear optimization procedures in the resulting 15-dimensional space, we get this set of 15 parameters as features for classification.
Minimal non-orthogonality rate 1 space-time block code for 3+ Tx antennas

We propose a full rate space-time block code for 3+ Tx antennas. The code is chosen to minimize the non-orthonormality that arises from increasing the rate above the maximum allowed by orthogonality. A linear decoding based on iterative interference cancellation between parts of the code approaches the maximal likelihood decoding performance.
Progress on GPS-Denied, Multi-Vehicle, Fixed-Wing Cooperative Localization

—This paper ﬁrst summarizes recent results of a proposed method for multiple, small, ﬁxed-wing aircraft cooperatively localizing in GPS-denied environments. It then provides a signiﬁcant future works discussion to provide a vision for the future of cooperative navigation. The goal of this work is to show that many, small, potentially-lower-cost vehicles could collaboratively localize better than a single, more-accurate, higher-cost GPS-denied system. This work is guided by a novel methodology called relative navigation, which has been developed in prior work. Initial work focused on the development and testing of a monocular, visual-inertial odometry for ﬁxed-wing aircraft that accounts for ﬁxed-wing ﬂight characteristics and sensing requirements. The front-end publishes information that enables a back-end where the odometry from multiple vehicles is combined with inter-vehicle measurements and is communicated and shared between vehicles. Each vehicle is able to create a global, back-end, graph-based map and optimize it as new information is gained and measurements between vehicles overconstrain the graph. These inter-vehicle measurements allow the optimization to remove accumulated drift for more accurate estimates.
Cross-layer fusion feature network for material defect detection

Abstract. Object detection involves solving two main problems: identifying the object and its location. This transforms the problem into a classification and localization problem. Currently, research shows that a convolutional neural network (CNN) can be used to solve the classification problem, and the object detection module incorporating a region proposal method can be used to locate the object. Although a CNN based on region proposals can achieve high recall, which improves detection accuracy, its performance cannot meet the actual requirements for small-size object detection and precise localization. This is mainly due to the feature maps extracted from the CNN and the quality of the region proposals. We present a cross-layer fusion feature network (CLFF-Net) for both high-quality region proposal generation and accurate object detection. The CLFF-Net is based on the cross-layer fusion feature that extracts hierarchical feature maps and then aggregates them into a unified space. The fused feature map appropriately combines deep layer semantic information, middle layer supplemental information, and shallow layer location information for an image to build the CLFF-Net, which is shared for both generating region proposals and detecting objects via end-to-end training. Extensive experiments using a casting dataset demonstrate its promising performance compared to state-of-the-art approaches.
ENERGY-EFFICIENT BLUETOOTH SCATTERNET FORMATION BASED ON DEVICE AND LINK CHARACTERISTICS

i I certify that I have read this thesis and that in my opinion it is fully adequate, in scope and in quality, as a thesis for the degree of Master of Science. I certify that I have read this thesis and that in my opinion it is fully adequate, in scope and in quality, as a thesis for the degree of Master of Science. I certify that I have read this thesis and that in my opinion it is fully adequate, in scope and in quality, as a thesis for the degree of Master of Science. Bluetooth is a promising ad hoc networking technology. Although construction and operation of piconets are well defined in Bluetooth specifications, there is no unique standard for scatternet formation and operation. In this thesis, we propose a distributed and energy-efficient Bluetooth Scatternet Formation algorithm based on Device and Link characteristics (SF-DeviL) that is compatible with Bluetooth specifications. SF-DeviL handles energy efficiency using classes of devices, battery levels and the received signal strengths. SF-DeviL forms scatternets with tree topologies that are robust to battery depletions, where devices are arranged in an hierarchical order in terms of battery power and traffic generation rate. SF-DeviL is dynamic in the sense that the topology is reconfigured when battery levels are depleted, thereby increasing the lifetime of the scatternet. Unlike many of the algorithms in the literature SF-DeviL is also multihop, i.e., there is no requirement for each node to be in the transmission range of all other nodes.
Game Edukasi Mengenal Huruf Katakana dan Hiragana Berbasis Android

Japanese language is different from other language in general, because in its writing is using Katakana and Hiragana letter. The use of Japanese is in various need, especially in communication for example entertaining tourists. Japanese language learning in Indonesia facing several problems among other are lack of infrastructure in practicing and also boring atmosphere which make students having difficulty in learning. Educational game application for mobile device is a new learning method is considered as a tool to attract one’s interest to learn. Educational Games to Indentify Katakana and Hiragana Letter is created in order to help to overcome the difficulty in learning Japanese Language relate to mastery Katakana and Hiragana letter. Learning material which is implied in the game came from Ni Hon Go 1 and Ni Hon Go No Kyoukasho curriculum. Game have three learning features such as table, letter writing and guessing, there are also entertaining addition features. Based on questionnaire data result on 30 students having difficulty in learning Japanese language, as much as 60% of respondents say that the game was easily understood as a Japanese language learning media.
Object Extraction Using Topological Models from Complex Scene Image

Efficient and effective object recognition from a multimedia data are very complex. Automatic object segmentation is usually very hard for natural images; interactive schemes with a few simple markers provide feasible solutions. In this chapter, we propose topological model based region merging. In this work, we will focus on topological models like, Relative Neighbourhood Graph (RNG) and Gabriel graph (GG), etc. From the Initial segmented image, we constructed a neighbourhood graph represented different regions as the node of graph and weight of the edges are the value of dissimilarity measures function for their colour histogram vectors. A method of similarity based region merging mechanism (supervised and unsupervised) is proposed to guide the merging process with the help of markers. The region merging process is adaptive to the image content and it does not need to set the similarity threshold in advance. To the validation of proposed method extensive experiments are performed and the result shows that the proposed method extracts the object contour from the complex background.
Personal Integrated Telecommunications System

The telephone is proposed as an environment for exploring conversational computer systems. A personal communications system is developed which supports multi-modal access to multi-media mail. It is a testbed for developing novel methods of interactive information retrieval that are as intuitive and useful as the spoken word. A personalized telecommunications management system that handles both voice and electronic mail messages through a unified user interface is described. Incoming voice messages are gathered via a conversational answering machine. Known callers are identified with a speech recognition unit so they can receive personal outgoing recordings. The system's owner accesses messages over the telephone by voice using natural language queries, or with the telephone keypad. Electronic mail messages and system status are transmitted by a text-to-speech synthesizer. Local access is provided by a touch sensitive-screen and color raster display. Text and digitized voice messages are randomly accessible through graphical ideograms. A Rolodex-style directory permits dialing-by-name and the creation of outgoing recordings for individuals or mailing lists. Note: A 314 inch color U-rnatic video cassette accompanies this thesis, it is five minutes in length, and has an English narrative. Thesis Supervisor: Andrew B. Lippman Title: Associate Professor of Media Technology The work reported herein was supported by a grant from Atari, Inc. and NTT, the Nippon Telegraph and Telephone Company.
The justification of a way for improving the protection of special buildings from shock effect of the projectile

To increase the protection of engineering structures from the impact of projectiles, it is proposed to use an elastic reinforcement of the outer surface of the coating. It is shown that its use significantly reduces the dynamic deflection of the structure, and, on the contrary, its protective properties. The results are based on an analytical analysis of the constructed mathematical model of dynamics of an elastically reinforced upper part of the protective structure under the condition of a shock effect on it of the projectile. The results obtained simultaneously, under certain constraints, may be the basis for studying the dynamics of the specified structure from the action of a shock wave or a series of strikes of projectiles.