Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulasi Coverage Wireless Sensor Network dengan Sum of Weighted Cost Function Genetic Algorithm

Masalah coverage pada wireless sensor network (WSN) adalah untuk meletakan sensor pada service area yang dapat mencakup seluruh service area. Masalah coverage dalam WSN sangat penting karena merepresentasikan QoS (Quality of Service) dari WSN tersebut. Pada paper ini akan disajikan sebuah simulasi untuk merancang sebuah system dengan coverage area yang optimal dengan sebuah algorithma genetika yang dikombinasikan dengan sum of weighted cost functions untuk penentuan komposisi berbagai macam letak dan jenis sensor yang dapat mengkover area seluas-luasnya dan dengan biaya seminimal mungkin. Dengan sum of weighted cost functions, perbandingan kedua fungsi dapat diatur, sehingga didapatkan optimisasi pada kedua fungsi tersebut. Fungsi-fungsi dalam hal ini adalah fungsi cost function yang merepresentasikan biaya total WSN dan fitness function yang merepresentasikan coverage sensor nodes.
Robust object representation through object-relevant use of scale

In previously published papers we have presented an object representation known as a core that represents an object at measurement scales (tolerances) relative to the local size of the object. Such object-relevant scale allows one to be more sensitive to such detail (and, of course, the effects of noise, blurring, and other image degradation) for smaller objects while being less sensitive to such detail (and image degradation) for larger objects. This produces a more robust mechanism that is able to trade off between sensitivity to noise and loss of detail by considering the properties of the object involved. This paper, after briefly reviewing the definition and computation of cores, studies this relationship between noise and object size and shows that the algorithms for computing cores do indeed produce more stable results for larger objects by automatically selecting correspondingly larger, less noise-sensitive scales.
Efficient Packet Processing in User-Level Operating Systems: A Study of UML

Network server consolidation has become popular through recent virtualization technology that builds secure, isolated network systems on shared hardware. One of the virtualization techniques used is that of User-level Operating Systems. (ULOSes) However, the isolation and security they bring comes at the price of performance, as virtualization introduces a number of overheads into the system. Such overheads can be surprisingly large, especially for complex OS modules like network protocol stacks. Our studies of the TCP/IP stack in User-mode Linux (UML), an implementation of a ULOS, attribute the resulting slow-downs to three main sources: the execution of privileged code, memory management across layers, and additional instructions to execute. To mitigate these bottlenecks, we present five optimization techniques, improving the network performance significantly, reducing packet processing latency by 60% and increasing network throughput by three folds. Furthermore, the network throughput of the improved ULOS is comparable to that of native Linux up to gigabit speeds.
An MAMS-PP4: Multi-access memory system used to improve the processing speed of visual media applications in a parallel processing system

To fulfill the computing demands in visual media processing, we have been investigating a parallel processing system to improve the processing speed of the visual media related to applications from the point of view of a memory system within a single instruction multiple data (SIMD) computer. In this paper, we have introduced MAMS-PP4, which is similar to a pipelined SIMD architecture type and consists of pq processing elements (PEs) as well as a multi-access memory system (MAMS). MAMS supports simultaneous access to pq data elements within a horizontal (1 x pq), a vertical (pq x 1) or a block (p x q) subarray with a constant interval in an arbitrary position In an M x N array of data elements, where the number of memory modules, m, is a prime number greater than pq. MAMS reduces the memory access time for an SIMD computer and also improves the cost and complexity that involved in controlling the large volume of data demanded in visual media applications. PE is designed to be a two-state machine in order to utilize MAMS efficiently. MAMS-PP4 was fabricated into ASIC using TOSHIBA TC240C series library and a test board was used to measure the performance of ASIC. The test board consists of devices such as an MPC860 embedded-PCI board, two ASICs and a FPGA for the control units. Experiment was done on various computer systems in order to compare the performance of MAMS-PP4 using morphological operations as the application. MAMS-PP4 shows a respectful and consistent processing speed.
Research on Traffic Sign Detection Algorithm

As an important part of Advanced Driver Assistance System (ADAS), the traffic sign detection has been paid more and more attention. This paper studied and implemented a valid algorithm of traffic sign detection. Using K-means clustering algorithm to complete the image separation and extraction of prohibition signs from the RGB color image, and then matching them with templates to realize the detection of traffic signs by SIFT algorithm. Series of experiments for traffic sign detection have been carried out to prove the validity and correctness of the algorithm on the basis of the road images in front of the vehicle collected by CCD camera.
Island Grammars in ASF+SDF

In this thesis we discuss the development, implementation and application of island grammars, implemented in the ASF+SDF Meta-Environments’s Modular Syntax Definition Formalism (SDF). We provide an overview of related work on the subject, and attempt to answer the following questions, namely: how suitable are they, how may we develop them and what improvements might be made to ASF+SDF? In particular, we present some non-trivial example grammars, suggest new disambiguation constructs, and detail certain efficiency optimizations to the implementation of the SGLR parser.
Simulation of Communication Systems

Digital communications and computers are having a tremendous impact on the world today. In order to meet the increasing demand for digital communication services, engineers must design systems in a timely and cost-effective manner. The number of technologies available for providing a given service is growing daily, covering transmission media, devices, and software. The resulting design, analysis, and optimization of performance can be very demanding and difficult. Over the past decades, a large body of computer-aided engineering techniques have been developed to facilitate the design process of complex technological systems. These techniques rely on models of devices and systems, both analytic and simulation, to guide the analysis and design throughout the life cycle of a system. Computer-aided design, analysis, and simulation of communication systems constitute a new and important part of this process. This thesis studies different aspects of the simulation of communication systems by covering some basic ideas, approaches, and methodologies within the simulation context. Performance measurement of a digital communication is the main focus of this thesis. However, some popular visual indicators of signal quality, which are often generated in a simulation to provide a qualitative sense of the performance of a digital system, are also considered. Another purpose of this thesis is to serve as a model for developing simulations or template of other systems. In other words, students learning to simulate a system can use the work presented here as a starting point.
コミュニティ QAにおける 質問・回答間の依存関係抽出に関する研究 Extraction of dependence relationships among Question and Answers in Community QA

コミュニティ QAでは,1つの質問に対して直接的な回答だけでなく,自らの体験や意見 の提示,既に投稿された回答への補足や反論など追記型の投稿がなされることが多い. そ の際に,2つ目以降の回答を投稿する回答者は,質問だけでなく自分より先に投稿された回 答記事を見て,回答するかどうかの判断も含めて自分の回答の内容を決めるため,ある質 問とその質問に対する回答,更には回答間同士には,依存関係があると考えられる. 一方 で,利用者は質問を投稿せずとも,過去に投稿された質問から,自分の状況にマッチした 解決策を探すことが可能となってきている. こうした状況では,検索クエリに単に適合す る質問を探すだけではなく,良質な回答が含まれる質問記事を探す必要がある. 本研究では,質問と,質問に連なる回答間の依存関係をネットワーク構造で表現し,定 量的に評価するという新しいアプローチを試みる. これにより,質問・回答間の依存関係 を明らかにする. また,大規模データに対して依存関係を明らかにするため,質問と回答 の意図を観点と定義し,質問記事および回答記事から観点を自動抽出するための手法を検 討する. さらに,依存関係を表すネットワーク図に基づいて新たな良質な回答の特徴を明 らかにすることを目指す. 実運用された CQA サイトのアーカイブデータを対象に,質問・回答間のネットワーク図 を作成する規則を定義し,複数名の実験者によって質問・回答間の依存関係を抽出できる ことを明らかにした. 次に,質問・回答に出現する特徴的な表現を手掛かりとして評価点 を累積することで観点を抽出できる見通しが得られた. 最後に,質問・回答間の依存関係 に基づいて良質な回答の特徴分析を行い,良質な回答の特徴を新たに発見できる可能性を 示せた.
Network Coding in Wireless Communications

This chapter deals with Network Coding (NC) in general and with its application to wireless communication in particular. A short overview of Network Coding in wired and wireless communications is given in section 8.1. Section 8.2, NC describes methods in uplink wireless communications. In section 8.3 the advantage of nonbinary network codes over binary network codes is shown in a multiuser co-operative communication and multirelay scenarios. The application of Network Coding (NC) to broadcast scenarios is then described. Finally, NC trends in wireless communications are given in section 8.5.
Real-World Drag ’ n ’ Drop – Bidirectional Camera-based Media Transfer between Smartphones and Large Displays

Investigating intuitive and seamless approaches for sharing files between smartphones and large displays is an increasingly relevant research challenge. In this paper we introduce a novel promising interaction technique called ‘Real-World Drag’n’Drop’: Using a smartphone as a see-through device, locally or remotely stored files may be directly dragged onto a distant screen targeted through the viewfinder and vice versa. Following the well-known basic metaphor, our technique allows for the precise selection, transfer and placement of files across devices. The presented fully functional prototype demonstrates the feasibility and benefits of this new approach.
Goal Reconstruction: How Teton Blends Situated Action and Planned Action

Abstract : This chapter discusses an extra capability that few cognitive architectures have, even though it is both useful from a programming point of view and arguably a good approximation to a human capabilities. People can reconstruct goal structures and other aspects of their internal state that have been forgotten. For instance, suppose one is interrupted in the middle of solving a difficult problem by a long involved phone call. When the phone call is over, one can eventually pick up the problem solving where one left off. This capability is called goal reconstruction. Because goal reconstruction requires no special training to acquire it and it does not have to be acquired separately for each new problem solving procedure one learns, goal reconstruction is arguably a fundamental, task-general capability of human problem solvers. Goal reconstruction is also a useful capability even for an artificial problem solver. It permits recovery from interruptions of the problem solving by processes that modify the body of procedural knowledge, such as an inferential learning process or a programmer debugging the procedural knowledge. In short, goal reconstruction is both a fundamental human capability and a useful capability for AI architectures. Keywords: Cognitive modelling; Reactive planning; Problem solving; Artificial intelligence.
Immunoexpression of p 53 and COX-2 in basal cell carcinoma

Basal cell carcinoma (BCC) is a variety of cutaneous carcinoma associated with an excellent prognosis because it rarely metastasizes, but it can cause significant local destruction and morbidity if surgical excision is not made. In this study, we examined the immunohistochemical expression of p53 and cyclooxygenase-2 (COX-2) in 51 BCCs, nodular and infiltrative subtypes, with various Clark levels. The immunoexpression of p53 was identified in 74.5% BCC cases and COX-2 reactions in 88.2% of cases. The scores of p53 reactions revealed significant differences depending on Clark level and borderline significance with tumor type, the high positive scores being associated to infiltrative tumors and high Clark level. No differences were revealed between COX-2 scores with both Clark level and tumor type. The analysis of the percentage values of p53 and COX-2 indicated a positive linear correlation. The positivity of p53 and COX-2 in a large proportion of BCCs, regardless of histological type and of depth of invasion, supports the two markers involvement in tumor progression.
Cost-Effectiveness of Telehealth for Chronic Cardiovascular Conditions and Chronic Obstructive Pulmonary Disease in the United States

COST-EFFECTIVENESS OF TELEHEALTH FOR CHRONIC CARDIOVASCULAR CONDITIONS AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE IN THE UNITED STATES By TRISHNA KINI May 29, 2019 INTRODUCTION: The United States has seen a dramatic increase in the incidence of chronic disease, including chronic obstructive pulmonary disease (COPD) and chronic cardiovascular diseases. Telehealth interventions can potentially improve healthcare access and health outcomes in the United States while saving time and economic resources. Conclusive research is needed to show whether telehealth interventions are cost-effective for people living with chronic disease. AIM: This paper synthesizes the existing literature on the cost-effectiveness of telehealth interventions for patients with chronic cardiovascular conditions (congestive heart failure (CHF), myocardial infarctions, and coronary heart disease) and chronic obstructive pulmonary disease (COPD). METHODS: A literature search was undertaken to identify studies that assessed the costeffectiveness of telehealth interventions for chronic cardiovascular diseases and chronic obstructive pulmonary disease (COPD) using PubMed and Scopus. RESULTS: A thorough literature search using PubMed and Scopus identified 753 articles that fit the search criteria. Of these, 27 articles met inclusion criteria, including 9 literature reviews and 1 meta-analysis. Over 80% of the relevant research was conducted in Europe, Taiwan, and Australia. The combination of a lack of cost-effectiveness research conducted in the United States, methodological challenges in the existing studies, and continued technological advancements, make it clear that further research is needed to make reliable inferences and conclusions.
Design an Ultra-Wide Band Antenna for Microwave Imaging Systems

Microwave imaging technology has attracted many interests nowadays. This imaging system has been used in a variety of applications such as: non-destructive testing and evaluation, through-the-wall imaging, concealed weapon detection at security check points, structural health monitoring and medical imaging. Microwave imaging techniques have in recent decades experienced strong growth as a research topic in biomedical diagnostics. The basic idea of using microwave imaging system is to transmit electromagnetic waves from a transmitting antenna to the target material and receive the scattered waves at a receiving antenna. Thus, antenna choice plays an important role for the system. There is a need for compact sized, low cost and high efficiency antennas which can radiate ultra-wideband signal to transmit short pulses. Especially, ‘large bandwidth’ is vital to attain good time domain characteristics which is important for microwave imaging systems. In this study; we selected the circular patch antenna with a slot, due to their ease of fabrication, properties, small size and other advantages of microstrip technology. The schematic of the proposed antenna is presented and the dimensions are summarized in the paper. Ansoft HFSS software is used to design the proposed structure and optimize the radiation pattern and return loss. Simulation results such as directivity and return loss are given and discussed in the result part. Keywords— Microstrip Antenna, Utra-Wide Band Antenna, Return Loss, Microwave Imaging
Vehicular CO Emission Prediction Using Support Vector Regression Model and GIS

Transportation infrastructures play a significant role in the economy as they provide accessibility services to people. Infrastructures such as highways, road networks, and toll plazas are rapidly growing based on changes in transportation modes, which consequently create congestions near toll plaza areas and intersections. These congestions exert negative impacts on human health and the environment because vehicular emissions are considered as the main source of air pollution in urban areas and can cause respiratory and cardiovascular diseases and cancer. In this study, we developed a hybrid model based on the integration of three models, correlation-based feature selection (CFS), support vector regression (SVR), and GIS, to predict vehicular emissions at specific times and locations on roads at microscale levels in an urban areas of Kuala Lumpur, Malaysia. The proposed model comprises three simulation steps: first, the selection of the best predictors based on CFS; second, the prediction of vehicular carbon monoxide (CO) emissions using SVR; and third, the spatial simulation based on maps by using GIS. The proposed model was developed with seven road traffic CO predictors selected via CFS (sum of vehicles, sum of heavy vehicles, heavy vehicle ratio, sum of motorbikes, temperature, wind speed, and elevation). Spatial prediction was conducted based on GIS modelling. The vehicular CO emissions were measured continuously at 15 min intervals (recording 15 min averages) during weekends and weekdays twice per day (daytime, evening-time). The model’s results achieved a validation accuracy of 80.6%, correlation coefficient of 0.9734, mean absolute error of 1.3172 ppm and root mean square error of 2.156 ppm. In addition, the most appropriate parameters of the prediction model were selected based on the CFS model. Overall, the proposed model is a promising tool for traffic CO assessment on roads.
Death in southern Patagonian fjords: Copepod community structure and mortality in land- and marine-terminating glacier-fjord systems

Glacial retreat at high latitudes has increased significantly in recent decades associated with global warming. Along Chile's Patagonian fjords, this has promoted increases in freshwater discharge, vertical stratification, and the input of organic and inorganic particles to fjords. In addition, it has modified the water chemistry [i. e. nutrient stoichiometry] and its associated biota. This study evaluates the effect of deglaciation in high-latitude fjords (54°S) on copepod survival and how this might affect the export of particulate organic carbon to the benthos. We selected two contrasting fjord systems in terms of their geomorphology and the quality and quantity of freshwater contributions: (a) Pia Fjord, with marine-terminating glaciers, and (b) Yendegaia Fjord, with landterminating-glaciers. Both are located along the Beagle Channel (54°S), southern Chilean Patagonia. These two fjords differed significantly in phytoplankton and copepod biomass. Whereas Pia Fjord showed high chlorophyll-a concentration (7mg Chl-a m) and copepod abundance (970 ind. m), in Yendegaia Fjord, the biomass was very low for both autotrophs (< 0.3 Chl-a m) and copepods (470 ind. m). Conversely, a greater proportion of copepod carcasses was recorded in Pia (22%) versus Yendegaia (18%), with small copepods (600–1000 μm prosome length) being less affected than large ones (> 1000 μm). The presence of carcasses was better explained by the amount of suspended particulate inorganic matter in the water column than by salinity. The contribution of dead copepods to the vertical carbon flux was< 3.5% of the total carbon exported down to 50m depth, with contributions of 9.5 ± 9.9mgCm d in Yendegaia and 10.8 ± 10.8mgCm d in Pia. Our results suggest that heavy deglaciation processes in high-latitude fjords may reduce phytoplankton biomass, causing the copepod abundance to decrease and non-predatory mortality in filter-feeding copepods to decline.
Kernel korner: sleeping in the kernel

A screwed safety assembly capable of being assembled and disassembled at a distance and under immersion, in which the screw head comprises a deformable cylindrical ferrule (15) and in which the seating (4) of the screw head comprises widened portions (6) into which the ferrule partially penetrates when it is deformed by expansion. The seating (4) of the screw head further comprises, at the level of the upper edge of the ferrule (15), a circular groove (10) between the widened portions (6) and leading into these.
Heat waves impair cytoplasmic maturation of oocytes and preimplantation development in Korean native cattle ( Hanwoo )

There has been widespread warming and a general increase in summer temperatures over the Korean peninsula (0.5°C/ 10 years from 2001 to 2010). South Korea is transforming into a subtropical region, and the productivity of livestock is affected by the climatic changes. In this study, we investigated whether the summer heat waves affect the developmental competency of Korean native cattle (Hanwoo), a taurine type of cattle with a small portion of indicine varieties. We collected oocytes during the summer (heat stress, HS) and autumn (non –HS condition) and examined the developmental competencies including in vitro maturation and preimplantation embryo development. No significant differences were observed between the HS and non-HS oocytes in nuclear maturation (extrusion of the polar body); however, the cleavage and blastocyst rates were significantly lower in the HS group than those in the non-HS group. The lower developmental competence of the HS oocytes compared to the non-HS is, in part, due to insufficient cytoplasmic maturation because of a higher production of Reactive oxygen species (ROS) levels as well as peri/cortical distributed mitochondria in the HS oocytes after in vitro maturation. Next, we examined the ROS and mitochondria distribution and found a significant increase in the levels of ROS in the HS oocytes and a polarized distribution (pericortical cytoplasm) of mitochondria in the HS oocytes. In summary, impaired cytoplasmic maturation of oocytes from exposure to HS affects the preimplantation embryo development by dysfunction of mitochondria. To improve reproductive performance, embryo transfer using cryopreserved embryos/oocytes is recommended in the hot summer season of South Korea.
PredictioIn the limiting drawing ratio in Deep Drawing process by Artificial Neural Network

In this paper back-propagation artificial neural network (BPANN) is employed to predict the limiting drawing ratio (LDR) of the deep drawing process. To prepare a training set for BPANN, some finite element simulations were carried out. die and punch radius, die arc radius, friction coefficient, thickness, yield strength of sheet and strain hardening exponent were used as the input data and the LDR as the specified output used in the training of neural network. As a result of the specified parameters, the program will be able to estimate the LDR for any new given condition. Comparing FEM and BPANN results, an acceptable correlation was found. Key-Words: Back-propagation (BP)Deep drawingPredictionLimiting Drawing Ratio (LDR)