Miracle-dz/UniFAR-FTUs huggingface dataset:
Object-Based Image Compression

Image compression frequently supports reduced storage requirement in a computer system, as well as enhancement of effective channel bandwidth in a communication system, by decreasing the source bit rate through reduction of source redundancy. The majority of image compression techniques emphasize pixel-level operations, such as matching rectangular or elliptical sampling blocks taken from the source data stream, with exemplars stored in a database (e.g., a codebook in vector quantization or VQ). Alternatively, one can represent a source block via transformation, coefficient quantization, and selection of coefficients deemed significant for source content approximation in the decompressed image. This approach, called transform coding (TC), has predominated for several decades in the signal and image processing communities. A further technique that has been employed is the deduction of affine relationships from source properties such as local self-similarity, which supports the construction of adaptive codebooks in a self-VQ paradigm that has been called iterated function systems (IFS). Although VQ, TC, and IFS based compression algorithms have enjoyed varying levels of success for different types of applications, bit rate requirements, and image quality constraints, few of these algorithms examine the higher-level spatial structure of an image, and fewer still exploit this structure to enhance compression ratio. In this paper, we discuss a fourth type of compression algorithm, called object-based compression, which is based on research in joint segmentaton and compression, as well as previous research in the extraction of sketch-like representations from digital imagery. Here, large image regions that correspond to contiguous recognizeable objects or parts of objects are segmented from the source, then represented compactly in the compressed image. Segmentation is facilitated by source properties such as size, shape, texture, statistical properties, and spectral signature. In particular, discussion addresses issues such as efficient boundary representation, variance assessment and representation, as well as a texture classification and replacement algorithms that can decrease compression overhead and increase reconstruction fidelity in the decompressed image. Contextual extraction of motion patterns in digital video sequences, using a frequency-domain pattern recognition technique based on interframe correlation, is described in a companion paper. This technique can also be extended to multidimensional image domains, to support joint spectral, spatial, and temporal compression.
Implementation of SCM Procurement Process In PT. Semarang Garment Manufaktur

PT. Semarang Garment Manufaktur is manufacturing company which engaged in exports and imports of garment productions. Competion among garments company is growing rapidly, it’s makes every company must reorganize their supply chain network. Supply chain management can increase production by minimizing production cost, improve customer satisfaction and increase profit. The procurement process is an activity of supply chain which support company’s business process. The procurement process is still done by telephone and email in this company. This paper presents the design of supply chain business process according to supply chain strategy of this company using SCOR(Supply Chain Operation References) Framework. SCOR can identify the best practise to improve supply chain in PT. Semarang Garment Manufaktur (SGM).
The Determinants of Deleterious Effects of Diabetes on the Myocardium

Background and Aims: Early discovery of diabetic heart disease is a dignified mission. Classic echocardiographic method is not sensitive to detect subclinical early LV systolic dysfunction. Early deleterious effects of DM on LV systolic function appeared longitudinally by speckle tracking. We aimed to uncover the determinants of deleterious effects of DM on the myocardium using echocardiographic indices, considering the duration of DM as well as the state of DM control. Methods and Results: 52 diabetic patients were enrolled in two groups (Group I; uncontrolled DM with HbA1c â‰¥ 6.5%) and group II; controlled DM with HbA1c5 years or 5 years (-15.7i‚±2.8%). (t=8.9, p=0.05). Conclusion: The duration of DM is strongly correlated with reduction of GLS and elevation of LV filling pressure. Poor glycemic control (HbA1c>6.5%), leads to reduction in LV GLS, which is associated with preclinical LV dysfunction and elevated LV filling pressure.
Resolution and Scaling Video Coding For SoCsin Digital Modeling

Soc Designing has attained high attention in recent past. For the past several decades there is an exponential growth in the demand for the improvement in display resolution. Resolution of digital imaging has been turn limited to low display resolution due to resource overhead. A non-trivial process such as scaling gives a trade-off between efficiency, smoothness and sharpness. For the visualization improvement of imaging samples the resolutional increment is achieved by increasing the size of display, so the pixels, which comprise the image, get expanded. Super scalar representation of image sequence is limited due to image information present in low dimensional image sequence. This paper outlines an Digital implementation of the video coding algorithm for low resource overhead in SoC designing for resolution enhancements. The Complexity of designing and implementation overhead for such system is presented and a generic model for low complex digital design is proposed.
Cardiac Arrest from Patient Position Change after Spine Surgery on a Jackson Table

The Jackson table has minimal effects on cardiac function because it does not elevate abdominal and thoracic pressures. In addition, it decreases venous congestion and increases exposure of the surgical field. However, the hips and knees are flexed with inappropriate padding, and venostasis is promoted and increased. Pulmonary thromboembolism (PTE) is fatal; thus immediate diagnosis and treatment are essential. However, clinical signs of intraoperative PTE are difficult to discern. Thrombolytic therapy can be considered as first-line therapy, but bleeding limits its use. The authors report a case of PTE resulting from patient positional change after spine surgery, and the use of immediate postoperative recombinant tissue-type plasminogen activator.
extending our sense of cyberspace language plurality: the value of the language observatory (LO) project

As the World Wide Web (WWW) grows exponentially, multilingual web pages are flooding the cyberspace at a tremendous rate. Most probably many of us would guess that the main medium of language on the Web is English. On the contrary, according to glreach.com [1], there are 801.4 million people online with at least 510 million non-English and the remainder are English speakers. As a big step towards comprehending web page dimensions regarding languages in cyberspace, we have officially launched a project called â€œLanguage Observatory (LO)" in February 2004. We have made several experimental runs using Ubicrawler, some of which were dedicated to the 57 Organization of the Islamic Conference country code Top Level Domains (ccTLD). It is interesting to note that we covered at least 42 million web pages compared to almost 17 million indexed by two well known search engines and this covers nearly triple the amount containing multiple dimensions such as languages, script and character set encoding. Furthermore, data mining activities by LO yield significant findings that further provide a snapshot of cyberspace. This will offer contents that are often created in particular domains hence this provide practical information: language preferences and source documentations in cyberspace. The potency of LO in producing indispensable information must be taken into account because these are factors that should not be absent within the value chain of translation activities.
OwnKit: Ownership Inference for Java

Object ownership allows us to statically control run-time aliasing in order to provide a strong notion of object encapsulation. Unfortunately in order to use ownership, code must first be annotated with extra type information. This imposes a heavy burden on the programmer, and has contributed to the slow adoption of ownership. Ownership inference is the process of reconstructing ownership type information based on the existing ownership patterns in code. This thesis presents OwnKit—an automatic ownership inference tool for Java. OwnKit conducts inference in a modular way: by only considering a single class at the time. The modularity makes our algorithm highly scalable in both time and memory usage.
Commissioning for Treatment Planning System

Objective: A process and system of treatment planning is very important in radiation therapy. The features of the software and the accuracy in the dose calculation and dose distribution will affect to the treatment quality as well as the patient outcome. When a treatment planning system is applied in treatment at the first time, it should be checked and approved all its system information, features, plan assessment tools and dose calculation modules as well. That process is called Commissioning for treatment planning system. Materials and methods: In 2013, Medical and Radiation Oncology department-Cho Ray hospital has utilized Elekta Synergy Platform using XiO vs 4.80 treatment planning system. The commissioning for XiO was performed according to international procedures and protocols which were set up by our Medical Physics. All system information, the features and functions of the software and the beam data were collected as well. To validate and ensure the possibilities in clinical application, some comparisons and assessments between XiO calculations and the actual measurements in water/solid phantom were setup for opened/wedged field size percentage depth doses, beam profiles, algorithms with/without electron density correction, monitor units. Results and Conclusions: The results for percentage depth dose have shown that the maximum accuracy was 0.8% in all treatment depths and less than 1% in the depth of 10cm, with opened-field and wedged-field, respectively. 2.06% of relative dose accuracy in low dose gradients and 0.25mm of spatial accuracy in high dose gradients was estimated. We found the accuracy of 17.55% in nasal cavity and 8.94% in lung case between the algorithms with/without electron density correction. And the maximum accuracy was about 1% in opened-field for monitor unit verification.
Value Addition of Pulse Products in India

Pulses and legumes terms are often used interchangeably. However, Codex Alimentarius Commission of FAO/WHO Food Standard programme [2,3] has given clear distinction for pulses and legumes, on the basis of their fat content. Pulses are dry seeds of leguminous plants and legumes include oil seeds such as soybean and peanut. The crops which are harvested green are used as vegetables (green beans, peas and sprouts). There are about 11 primary pulses, i.e. (1) dry beans (2) dry braod beans, (3) cow pea, (4) chickpea, (5) pigeon pea, (6) lentil, (7) bambara beans (8) vetches, (9) lupins (10) (11) minor pulses. These seeds are dicotyledonous hence they can be used as whole, decorticated, or dehusked (called as dal).
term spotting in spontaneous speech

Spoken utterance retrieval was largely studied in the last decades, with the purpose of indexing large audio databases or of detecting keywords in continuous speech streams. While the indexing of closed corpora can be performed via a batch process, on-line spotting systems have to synchronously detect the targeted spoken utterances. We propose a two-level architecture for on-the-y term spotting. The rst level performs a fast detection of the speech segments that probably contain the targeted utterance. The second level renes the detection on the selected segments, by using a speech recognizer based on a query-driven decoding algorithm. Experiments are conducted on both broadcast and spontaneous speech corpora. We investigate the impact of the spontaneity level on system performance. Results show that our method remains eective even if the recognition rates are signicantly degraded by disuencies.
Acquisition of fuzzy classification knowledge using genetic algorithms

This paper proposes a genetic-algorithm-based approach to the construction of fuzzy classification systems with rectangular fuzzy rules. In the proposed approach, compact fuzzy classification systems are automatically constructed from numerical data by selecting a small number of significant fuzzy rules using genetic algorithms. Since significant fuzzy rules are selected and unnecessary fuzzy rules are removed, the proposed approach can be viewed as a knowledge acquisition tool for classification problems. In this paper, first we describe a generation method of rectangular fuzzy rules from numerical data for classification problems. Next, we formulate a rule selection problem for constructing a compact fuzzy classification system as a combinatorial optimization problem. Then we show how genetic algorithms are applied to the rule selection problem. <<ETX>>
Consensus Control for a Kind of Dynamical Agents in Network

This paper discusses consensus control for a kind of dynamical agents in network. It is assumed that the agents distributed on a plane and their location coordinates are measured by remote sensor and transmitted to its neighbors. By designing the linear distributed control protocol, it is shown that the group of agents will achieves consensus. The simulations are given to show the effectiveness of our theoretical result.
MRI segmentation by active contours model, 3D reconstruction, and visualization

The advances in 3D data modelling methods are becoming increasingly popular in the areas of biology, chemistry and medical applications. The Nuclear Magnetic Resonance Imaging (NMRI) technique has progressed at a spectacular rate over the past few years, its uses have been spread over many applications throughout the body in both anatomical and functional investigations. In this paper we present the application of Zernike polynomials for 3D mesh model of the head using the contour acquired of cross-sectional slices by active contour model extraction and we propose the visualization with OpenGL 3D Graphics of the 2D-3D (slice-surface) information for the diagnostic aid in medical applications.
Euclidean distance based fingerprint matching

Forensic Science is an art and science of a print made by an impression of ridges in the skin of a finger, often used for biometric identification in criminal investigation. The law enforcement agencies uses system like AFIS (Automatic Fingerprint Identification System) where reference fingerprints are stored in database which are further used to match with latent fingerprints recovered from actual crime scene. There is high rate of rejection of latent fingerprints since they are found in damaged condition due to blood spills, oil spills, wet surface, snow, dust, etc that damages their quality and hence individuality of fingerprint is lost. Verification of such mutilated fingerprints against stored reference fingerprint can be done using Laplacian, Gaussian, minutia-based, etc methods. Each such method has there own advantages and disadvantages. The paper emphasis on the use of Gabor filters for fingerprint identification. The fingerprint matching is done by extracting the Finger code from both reference and latent fingerprints and then finding the Euclidean distance between the two corresponding finger codes. After proper training the system, the result obtained provides 99 % rate of recognition.
A low-noise CMOS instrumentation amplifier for thermoelectric infrared detectors

A low-noise CMOS instrumentation amplifier for low-frequency thermoelectric infrared sensor applications is described which uses a chopper technique to reduce low-frequency noise and offset. The offset reduction efficiency of the band-pass filter, implemented to reduce residual offset due to clock feedthrough, has been analyzed and experimentally verified. The circuit has been integrated in a transistor-only 1-/spl mu/m single-poly n-well CMOS process. It features a gain of 52 dB with a 500 Hz bandwidth and a common-mode rejection ratio (CMRR) of more than 70 dB. The equivalent input low frequency noise is 15 nV//spl radic/Hz. The typical residual input offset is 1.5 /spl mu/V. The amplifier power consumption is 1.3 mW.
Mechanical Thrombectomy of Acute Basilar Artery Occlusion: Single Center Experience

Purpose: Acute basilar artery occlusion (BAO) is a devastating neurological condition associated with a poor clinical outcome and a high mortality rate. Mechanical thrombectomy using a retrievable stent applied shortly after symptom onset could increase a good functional outcome, improving survival rate in patients with acute BAO. First clinical trials using stent retrievers have shown promising high recanalization rates. This study aimed to evaluate the feasibility, safety and efficacy of mechanical thrombectomy. Material and Methods: Seven consecutive patients (2 female, 5 male) with a mean age of 59,4 (range 40-82) with acute BAO undergone to endovascular therapy: all patients were treated with mechanical thrombectomy using a retrievable stent (in 5 patients with Solitaire-Covidien system, in 2 patients Revive-Codman system); two of these received in addition a intra-arterial thrombolysis (IAT), one was additionally treated with intra-venous thrombolysis (IVT). Successful recanalization was defined as Thrombolysis in Cerebral Infarction (TICI) grade 2b or 3. Good outcome was defined as modified Rankin Scale (mRS) score of 0–2 at 3 months. Results: Median NIHSS score at onset was 15,8 (range 12-22). Median procedure time to maximal recanalization was 72 minutes (range 35-135). Recanalization was achieved in 100% (7/7) of patients. One symptomatic parenchymal hemorrhage occurred in a patient treated additionally with intra-arterial thrombolysis. Median NIHSS score at 7 days from treatment was 7,2 (range 0-20). At 3 months a good outcome (mRS 0–2) was observed in 71,4% (5/7); overall mortality at 3 months was 28,6% (2/7). Conclusion: Mechanical thrombectomy in BAO presents high recanalization rate, with a very low complication rate, improving good outcome and survival rates in patients with BAO.
Optimized design of high fan-in multiplexers using switches with driving capability

In this communication, a strategy to design fast multiplexers with high fan in is proposed. It is based on the recently proposed architecture heterogeneous tree (Lin, IEEE Trans. on CAS, pt. I, vol. 19, no. 18, pp. 963-967, 2000), which until now has been optimized assuming only CMOS switch-based implementation with transmission gates or pass transistors. In this work the design strategy of heterogeneous-tree multiplexers is extended to the case of switches with driving capability, like clocked inverters. It provides design criteria to minimize the delay, which are general and simple to be applied, and thus are helpful from the early design phases. Moreover, performance achievable is analytically expressed for a given fan in and CMOS process. As an example, a multiplexer designed with the strategy proposed and with a fan in of 256 is simulated using a 0.35-/spl mu/m CMOS process. The predicted delay agrees well with the simulated value.
Nonlinear output feedback receding horizon control of sampled data systems

In this paper, we present an output feedback receding horizon control for a class of nonlinear systems. A globally stabilizing state feedback receding horizon scheme is combined with a discretized high gain observer. It is shown that the output feedback scheme recovers the performance (rate of convergence) achieved under state feedback receding horizon control for a sufficiently large observer gain and sampling frequency.
Preliminary Design of Blade and Disc Fixing for Aerospace Application using Multi-Disciplinary Approach

The preliminary design phase of a turbine rotor has an important impact on the architecture of a new engine definition, as it sets the technical envelope of the product to be designed. Additionally, preliminary design cycle times are increasingly critical in capturing business opportunities in an ever competitive environment. Improving the accuracy of the preliminary design (pre-detailed design) is also necessary as not only does it significantly reduce the overall development of an engine, but also because any mistakes made at this stage can be extremely hard to rectify. Previously, typical pre-detail fixing design cycle time was greater due to the lack of communication between specialist owned and built software and non-optimized data management. This paper presents a way to change that by detailing a single platform Design and Analysis tool for the fixing as part of a larger pre-detailed design tool. The fixing tool created allows the user, through a single graphical user interface, to design and analyze a fixing using tools for each discipline through the integration of C.A.D. & F.E. A running in batch mode. Apart from significantly reducing design cycle time, the fixing tool is also seeking to improve the quality of the fixings and is extremely user friendly as it provides the design engineer all the information he would need for the pre-detailed design of a fixing at his finger tips.
Taking the STING Out of Ureteral Obstruction

Abstract Vesicoureteral reflux (VUR) is diagnosed in ∼1% of children. The main goal of treatment is preservation of renal function by preventing recurrent urinary tract infection (UTI) refractory to antibiotic therapy. Surgical treatment options include endoscopic injection or ureteral reimplantation. Subureteral Teflon (polytetrafluoroethylene) injection (STING) is an endoscopic treatment option no longer in common practice. Use of Teflon is no longer advised because of a number of documented complications secondary to local and distant migration of injected material. We present a case of delayed ureteral obstruction secondary to the STING procedure occurring 21 years after initial surgery and managed using a novel endoscopic method.
Studies on the correlation of anthropometric measurements with health outcomes in elderly

Obesity is the major health problem among the elderly in both developed and developing countries. In this group, obesity results into early onset of chronic morbidity and may initiate premature mortality. The risk relationship between the obesity and chronic diseases is well known fact in the elderly. So an effort was made to assess the nutritional status of 120 elderly residents of Baijnath and Panchrukhi blocks of District Kangra, Himachal Pradesh (India). It was observed that 44.17 per cent of subjects had Grade I and Grade II obesity and according to Waist to Hip ratio majority of females (98.63%) and males (57.45%) belonged to above normal category. Sixty five per cent of subjects were suffered from metabolic diseases like diabetes, hypertension, cardiovascular diseases, gout and arthritis. Health conditions like diabetes, hypertension, heart disease, arthritis and gout were positively and significantly associated with anthropometric parameters viz. BMI, WHR, WHtR, Percent Body Fat (PBF) and Fat Mass (FM). There is an urgent need to emphasize the importance of regular physical activity to control the weight.