Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast Approximate Convex Decomposition

Fast Approximate Convex Decomposition. (August 2012) Mukulika Ghosh, B.Tech, National Instrtitue of Technology, Durgapur Chair of Advisory Committee: Dr. Nancy M. Amato Approximate convex decomposition (ACD) is a technique that partitions an input object into approximately convex components. Decomposition into approximately convex pieces is both more efficient to compute than exact convex decomposition and can also generate a more manageable number of components. It can be used as a basis of divide-and-conquer algorithms for applications such as collision detection, skeleton extraction and mesh generation. In this paper, we propose a new method called Fast Approximate Convex Decomposition (FACD) that improves the quality of the decomposition and reduces the cost of computing it for both 2D and 3D models. In particular, we propose a new strategy for evaluating potential cuts that aims to reduce the relative concavity, rather than absolute concavity. As shown in our results, this leads to more natural and smaller decompositions that include components for small but important features such as toes or fingers while not decomposing larger components, such as the torso that may have concavities due to surface texture. Second, instead of decomposing a component into two pieces at each step, as in the original ACD, we propose a new strategy that uses a dynamic programming approach to select a set of nc non-crossing (independent) cuts that can be simultaneously applied to decompose the component into nc + 1 components. This reduces the depth of recursion and, together with a more efficient method for computing the concavity measure, leads to significant gains in efficiency. We provide comparitive results for 2D and 3D models illustrating the improvements obtained by FACD over ACD and we compare with the segmentation methods given in the
Learning the spatial semantics of manipulation actions through preposition grounding

In this paper, we introduce an abstract representation for manipulation actions that is based on the evolution of the spatial relations between involved objects. Object tracking in RGBD streams enables straightforward and intuitive ways to model spatial relations in 3D space. Reasoning in 3D overcomes many of the limitations of similar previous approaches, while providing significant flexibility in the desired level of abstraction. At each frame of a manipulation video, we evaluate a number of spatial predicates for all object pairs and treat the resulting set of sequences (Predicate Vector Sequences, PVS) as an action descriptor. As part of our representation, we introduce a symmetric, time-normalized pairwise distance measure that relies on finding an optimal object correspondence between two actions. We experimentally evaluate the method on the classification of various manipulation actions in video, performed at different speeds and timings and involving different objects. The results demonstrate that the proposed representation is remarkably descriptive of the high-level manipulation semantics.
A high sensitivity capacitive fingerprint sensor with double sensing plates

This paper introduces a single-chip capacitive fingerprint sensor implemented in a standard CMOS technology. The fingerprint pattern is captured by detecting the different values of the capacitors composed of the skin surface and the electrode in the device. The sensor is comprised of an array of sensing cells. Each cell contains a high sensitive readout circuit and a sensing device, which has double metal plates to detect the small capacitance.
Social rank and social anxiety

Social Rank and Social Anxiety Jennifer A. Chrystan The purpose of the current study was to investigate a primary assumption of social rank theory. More specifically, the purpose was to determine whether the perception of social inferiority leads to increased anxiety during social interaction, with a heightened effect occurring among those who are more socially anxious. Although multiple studies have demonstrated shared covariates between social anxiety and perceptions of inferiority, virtually no research has been dedicated to scrutinizing the causal relationship proposed by social rank theory. One hundred undergraduate students at West Virginia University participated in this study. Participants engaged in three social interaction tasks with a same-gender peer and completed self-report measures designed to assess anxiety and perceptions of inferiority/superiority. Following each social interaction task, participants provided ratings of the highest level of distress they experienced during the task. The correlation between participants’ social anxiety and perceptions of inferiority/superiority was examined. A significant, negative correlation was hypothesized between these two variables. This study also examined whether perceived inferiority/superiority in relation to a participant's interaction partner would significantly predict anxiety (general, physical, and cognitive) following each of the interaction tasks, each related to a different social domain (casual conversation, social influence, and task oriented collaboration), as well as highest level of distress experienced during each of these tasks. This study utilized an interaction term to investigate whether social anxiety would moderate the hypothesized effect of perceived inferiority/superiority on anxiety during social interaction. In accordance with social rank theory, it was hypothesized that perceived inferiority/superiority would significantly predict each of the dependent variables, with an increased effect occurring among those with higher baseline levels of social anxiety. Six regression analyses were performed to investigate the hypotheses. Though a significant, negative correlation was found between social anxiety and perceived inferiority/superiority, additional findings were contradictory to the hypotheses. Table of
A method for correcting minimum RTT of TCP congestion control in mobile networks

In mobile networks such as LTE and 3G, there is a problem in that the transmission control protocol (TCP) cannot sufficiently utilize network bandwidth and TCP throughput decreases. One cause of this degraded TCP throughput is the underestimation of minimum round trip time (RTT) in TCP congestion control algorithms. Handovers between mobile networks might increase propagation delay, so it is important to increase the minimum RTT appropriately. However, conventional methods cannot increase the minimum RTT because the minimum RTT is updated when a shorter RTT is observed. This causes many delay-based TCP variants to decrease the congestion window size, which in turn decreases TCP throughput. In this paper, we propose a method that revises the minimum RTT in mobile networks based on information available at the TCP sender node. Simulation results indicate that the proposed method can appropriately revise the minimum RTT.
Lymphopenia Predicts Poor Prognosis in Patients With Esophageal Squamous Cell Carcinoma

AbstractLymphopenia is a useful predictive factor in several cancers. The aim of this study was to determine the prognostic value of lymphopenia in patients with esophageal squamous cell carcinoma (ESCC). A retrospective analysis of 307 consecutive patients who had undergone esophagectomy for ESCC was conducted. In our study, a lymphocyte count (LC) of fewer than 1.0 Giga/L was defined as lymphopenia. Kaplan–Meier method was used to calculate the cancer-specific survival (CSS). Cox regression analyses were performed to evaluate the prognostic factors. Receiver operating characteristic (ROC) curve was also plotted to verify the accuracy of LC for CSS prediction.The mean LC was 1.55 ± 0.64 Giga/L (range 0.4–3.7 Giga/L). The incidence of lymphopenia (LC < 1.0 Giga/L) was 16.6% (51/307). Patients with lymphopenia (LC < 1.0 Giga/L) had a significantly shorter 5-year CSS (21.6% vs 43.8%, P = 0.004). On multivariate analysis, lymphopenia (LC < 1.0 Giga/L) was an independent prognostic factor in patients with ESCC (P = 0.013). Lymphopenia had a hazard ratio (HR) of 1.579 [95% confidence interval (CI): 1.100–2.265] for CSS. ROC curve demonstrated that lymphopenia (LC < 1.0 Giga/L) predicts survival with a sensitivity of 86.2% and a specificity of 27.2%. Lymphopenia (LC < 1.0 Giga/L) is still an independent predictive factor for long-term survival in patients with ESCC.
Approach to Data Table Decomposition Based on Rough Set Attribute Selection Measure

This paper proposes a new data table decomposition algorithm to address problems in extracting rules from massive data tables, e.g. low effectiveness, low computing speed and long rule length. With rough set theory, in the perspective of improving classification correctness and sub data table purity, this paper brings up attribute selection measure, and proposes to stop decomposing process to reduce the length of rules. Decompose data table with measures, and finally obtain a rule set with certain supportiveness. The length of obtained rules is short, the effectiveness of decision analysis is high, and it effectively overcomes the impact of noise on rough set data analysis.
Detecting Interaction Variables in a Mixed Reality System for Maxillofacial-guided Surgery

To establish a relation between the user preferences and accuracy while using a VR or MR system and the set of components (technical, functional and perceptual) used in the system conception is yet a challenge. In this work we study the user reaction in relation to image guided surgery applications using different kind of visualization and guidance. Our goal is to identify practical basis that explains how mixed reality interfaces might provide support and augmentation for interactive applications. To accomplish that, we propose a model that allows the identification of the contribution of each independent variable in the final user interaction. The contribution rates were identified by applying user tests.
Social-Aware Top-k Spatial Keyword Search

The boom of the spatial web has enabled spatial keyword queries that take a user location and multiple search keywords as arguments and return the objects that are spatially and textually relevant to these arguments. Recently, utilizing social data to improve search results, normally by giving a higher rank to the content generated or consumed by the searcher's friends in the social network, has been studied in the information retrieval (IR) community. However, little attention has been drawn to the integration of social factors into spatial keyword query processing. In this paper, we propose a novel spatial keyword query, Social-aware top-k Spatial Keyword (SkSK) query, which enriches the semantics of the conventional spatial keyword query by introducing a new social relevance attribute. A hybrid index structure, called Social Network-aware IR-tree (SNIR-tree), is proposed for the processing of SkSK queries. To further improve the query response time, an x-hop localized algorithm is developed. Empirical results demonstrate that the proposed index and algorithms are capable of excellent performance.
LOCATION VERIFICATION TECHNIQUE FOR SECURE GEOGRAPHICAL ROUTING IN VANET

The geographical path routing has more benefits in Vehicular Adhoc Network (VANET). However, the lack of location verification scheme results in cruel security attacks. In this paper, location verification technique for secure geographical routing in VANET that encodes the geographical locations of nodes using geographic hashes is proposed. Data packets are transmitted securely over the communication channel through private and public keys of a node. The next hop is carefully chosen by geographic routing. This technique uses two step location verification schemes. First, when data is transmitted from the source to its next hop, the packet is verified through reliability checks. Then, validation of its location is done by distance bounding scheme.The proposed solution effectively secures the geographical routing with valuable location verification schemes. By simulation, we show that the proposed technique defends various attacks by reducing the packet drop and increasing the packet delivery ratio.
A flexible classification scheme for metadata resources

We introduce a flexible mechanism to classify metadata resources using their elements and attributes. The metadata resources are represented in XML and we assume that they have been created based on some resource schemas. The concept of a classification schema is proposed to construct a taxonomy with metadata resources classified into different categories using classification rules. To define these classification schemas, a classification language has been developed. Using this language, we are able to define different classification schemas and thus construct different taxonomies for the same metadata resource collection. In this paper, we will describe the important features of this classification language, illustrating it with different examples.
What is the Ground ? Continuous Maps for Grounding Perceptual Primitives

Analysis of the Symbol Grounding Problem has typically focused on the nature of symbols and how they tie to perception without focusing on the actual qualities of what the symbols are to be grounded in. We formalize the requirements of the ground and propose a basic model of grounding perceptual primitives to regions in perceptual space that demonstrates the significance of continuous mapping and how it influences categorization and conceptualization of perception. We also outline methods to incorporate continuous grounding into computational systems and the benefits of applying such constraints.
CAT: a context-aware trust model for open and dynamic systems

The requirements for spontaneous interactions in open and dynamic systems create security issues and necessitate the incorporation of trust management into each software entity to make decisions. Trust encompasses various quality attributes (e.g., security, competence, honesty) and helps in making appropriate decisions. In this paper, we present CAT, an interaction-based Context-Aware Trust model for open and dynamic systems by considering services as contexts. We identify a number of trust properties including context and risk awareness and address those in the proposed model. A context-similarity parameter is proposed to make decisions in similar situations. A time-based ageing parameter is introduced to change trust values over time without any further interaction. We present direct and indirect recommendations and apply path-based ageing on indirect recommendations. A mechanism to calculate the accuracy of recommendations is described. This accuracy is used to differentiate between reliable and unreliable recommendations in the total trust calculation.
A Unified Energy Estimation Framework with Integrated Hardware-Software Optimizations

With the emergence of a plethora of embedded and portable applications, energy dissipation has joined throughput, VLSI layout area, and accuracy/precision as a major design constraint. Thus, designers must be concerned with both optimizing and estimating the energy consumption of circuits, architectures, and software. Most of the research in energy optimization and/or estimation has focused on single components of the system and has not looked across the interacting spectrum of the hardware and software. The novelty of our new energy estimation framework, SimplePower , is that it evaluates the energy considering the system as a whole rather than just as a sum of parts, and that it concurrently supports both compiler and architectural experimentation. We present the design and use of the SimplePowerframework that includes a transition-sensitive, cycle-accurate datapath energy model that interfaces with analytical and transition-sensitive energy models for the memory and bus subsystems, respectively. Such an architectural-level energy estimation framework is invaluable in making good energyconscious decisions early in the design cycle. We analyzed the energy consumption of ten codes from the multidimensional array, a domain that is important for embedded video and signal processing systems, after applying different compiler and architectural optimizations. Our experiments demonstrate that early estimates from the SimplePowerenergy estimation framework can help one to identify the system energy hotspots and enable architects and compiler designers to focus their efforts on these areas.
ANALISIS RISIKO MANAJEMEN MATERIAL DAN PENGARUH TINDAKAN KOREKSI PADA PROYEK GEDUNG BERTINGKAT

Pembangunan di perkotaan kini menitikberatkan pada bangunan bertingkat tinggi sehingga menjadi peluang bagi penyedia jasa konstruksi untuk meningkatkan keuntungan perusahaan. Namun dalam pembangunan gedung bertingkat terdapat beberapa hambatan yang menyebabkan menurunnya kinerja proyek dan keuntungan perusahaan akibat kurangnya pengendalian. Salah satu variabel yang mempunyai pengaruh yang cukup besar terhadap terjadinya penyimpangan pada biaya proyek adalah material yang nilainya bisa mencapai 50-60% dari total biaya proyek (Soeharto, 1995). Manajemen material mencakup kegiatan perencanaan, pembelian, pengiriman hingga penggudangan. Dimana pada tahapan-tahapan tersebut terdapat risiko-risiko yang berpotensi menurunkan kinerja proyek. Berdasarkan latar belakang tersebut, penelitian ini bertujuan untuk mengetahui risiko-risiko yang paling dominan pada manajemen material gedung bertingkat serta tingkat pengaruh dari tindakan koreksi terhadap kinerja proyek. Data yang digunakan dalam penelitian ini dianalisis dengan metode AHP ( Analytic Hierarchy Process ) untuk mengetahui bobot risiko. Hasil analisis menunjukkan risiko manajemen material yang termasuk dalam kategori High Risk adalah 21 risiko dan Medium Risk berjumlah 15 risiko. Risiko yang memiliki nilai Risk Index terbesar adalah ‘Kesalahan dalam mengestimasi dan merencanakan anggaran biaya untuk material’ sebesar 2,3255. Sedangkan tingkat pengaruh tindakan koreksi terhadap risiko teridentifikasi yang memiliki nilai tertinggi adalah tindakan koreksi ‘Penambahan personil, jam kerja juga harus ditambah’ memiliki nilai 4,1923.
Considering Children’s Methods of Grasping and Carrying Elementary School Chairs for Easy Carrying, Lifting, and Turning

Carrying, lifting, and turning chairs improve learning activities in schools, which leads to higher quality education. However, it has been shown that elementary school chairs in Indonesia are too heavy for children aged 6 to 9 to easily lift and carry. The present study aimed to investigate children’s methods of carrying chairs as well as lifting and turning them onto desks. Forty-two children (aged 6-9), including 17 Indonesians (6 boys, 11 girls) and 25 Japanese (12 boys, 13 girls), participated in the study. The experiment used three elementary school chairs (one Indonesian, two Japanese) and two desk types (standard and tall). The most popular method for carrying a chair was to carry it in front of the body with the chair in a lateral position (75%). In all carrying methods, participants showed a preference for grasping two particular points to hold the chair. Children lifted and turned chairs most successfully when they used this popular grasping pattern. The carrying method and the popular grasping pattern for carrying, lifting, and turning chairs need to be considered when redesigning heavy Indonesian elementary school chairs to improve the ease of transport without decreasing the weight.
Interested in Learning More? Automated Security Testing of Oracle Forms Applications Giac (gwapt) Gold Certification

Check out the list of upcoming events offering "Hacker Tools, Techniques, Exploits and Incident Handling (SEC504)" Abstract Oracle Forms, a component of Oracle Fusion Middleware is a technology to efficiently build browser-based enterprise applications. In order to support multiple transport methods Forms has its own binary message format that is meant to provide serialization and additional security for the platform. Unfortunately this proprietary format renders conventional security testing tools unusable. Reverse engineering methods will be employed to reveal the format of the protocol messages and to analyze the cryptographic protections in use. It will be shown that the proprietary encryption and key exchange schemes can be attacked in multiple ways. New tools will be presented which can be used to exploit these weaknesses and allow existing security testing software to be used against Oracle Forms applications. Based on the observations deployment best practices will also be described to help mitigate the discussed problems.
Theory to Practice: Integrating Service-Learning into a Pre-Practicum Introduction to School Counseling Course

Service learning is a method of instruction that integrates volunteerism, as well as reflection, in the classroom. The purpose of this article is, therefore, to describe the implementation and design of a pre-practicum service learning experience into an Introduction to School Counseling course. The authors describe the empirically grounded design of the service learning experience, as well as the course goals, how it was integrated into the class, and a summary of student experiences. Author's Notes Correspondence concerning this article should be sent to Stacey A. Havlik at stacey.havlik@villanova.edu
Multilevel analysis of physical activity among us adults across US Census regions: The role of environmental contexts

MULTILEVEL ANALYSIS OF PHYSICAL ACTIVITY AMONG US ADULTS ACROSS US CENSUS REGIONS: THE ROLE OF ENVIRONMENTAL CONTEXTS Sariyamon Tiraphat Old Dominion University, 2012 Director: Dr. Harry Zhang This study uses nationally representative data to explain the variation in physical activity among U.S. adults across four geographic regions of Northeast, Midwest, South, and West. The purpose of the study is to investigate whether environmental conditions inclusive of natural amenity, built environment, urbanization, crime, and social economic neighborhood are associated with physical activity and whether these associations are modified by geographic region. The study also investigates whether the influences of environmental contexts vary by subgroup and whether they are modified by geographic region. Determining regional factors that influence physical activity is essential to planning appropriate physical activity interventions. The dependent variable is adult physical activity (PA). The measure of PA is dichotomized as either meeting current physical activity recommendations or not. A host of independent variables are tested to identify empirical relationships with the dependent variable. Multilevel logistic regression is used to examine the environmental factors and their cross-level interaction effects that explain variation in PA across the four regions. In Northeast, built environments and urban status are the environmental contexts that associate with PA. There are no significant predictors associated with PA in the Midwest. Three significant PA predictors in the South include built environments, natural amenities, and socio economic environments. Significant predictors in the West include urban status, built environments, and socio economic environments. The study has five major contributions. Firstly, the study finds that living in a more built environment gives a consistent advantage for whites across the regions, whereas no advantage of built environment appears among minorities. Secondly, the study finds that age is a moderator between environments and PA. Older people are consistently sensitive to immediate environments. Thirdly, unexpected, the study finds that some minorities such as Asians in high SES counties are more likely to be physically inactive relative to Asians in low SES counties. Fourthly, the study demonstrates that Blacks in non-metro South and West are faced with physically inactive. Finally, this study finds that some sub-population such as Blacks in Northeast residing in high crime areas are more physically active than those living in less crime areas.