Essays in quasi realism pdf file

Essays In Quasi Realism Pdf File

Essays in quasi realism pdf file

Anti-Corruption: The Global Fight is a new handbook from IIP Publications that outlines the kinds of corruption, their effects, and the ways that people and governments combat corruption through legislative and civil society actions. Academy of Social Sciences ASS The United Kingdom Association of Learned Societies in the Social Sciences formed in gave rise to the Academy of Learned Societies for the Social Sciences incorporated , which became the Academy of Social Sciences on ASS Commission on the Social Sciences Notes from the meeting on by Ron Johnston. The greatest nonfiction books since (1 to 50) determined by lists and articles from various critics, authors and experts. About us. John Benjamins Publishing Company is an independent, family-owned academic publisher headquartered in Amsterdam, The Netherlands. More.

Bellovin, Jason Nieh Email privacy is of crucial importance. Existing email encryption approaches are comprehensive but seldom used due to their complexity and inconvenience. We take a new approach to simplify email encryption and improve its usability by implementing receiver-controlled encryption: To avoid the problem of users having to move a single private key between devices, we implement per-device key pairs: Compromising an email account or email server only provides access to encrypted emails.

Mail, has acceptable overhead, and that users consider it intuitive and easy to use. On the one hand, some people claim it can be accomplished safely; others dispute that.

In an attempt to make progress, a National Academies study committee propounded a framework to use when analyzing proposed solutions. Robot Learning in Simulation for Grasping and Manipulation Beatrice Liang Teaching a robot to acquire complex motor skills in complicated environments is one of the most ambitious problems facing roboticists today.

Grasp planning is a subset of this problem which can be solved through complex geometric and physical analysis or computationally expensive data driven analysis.


As grasping problems become more difficult, building analytical models becomes challenging. Consequently, we aim to learn a grasping policy through a simulation-based data driven approach. POS uses a novel priority-based scheduling algorithm that naturally considers partial order information dynamically, and guarantees that each partial order will be explored with significant probability.

This probabilistic guarantee of error detection is exponentially better than state-of-the-art sampling approaches. Besides theoretical guarantees, POS is extremely simple and lightweight to implement. In our design, an elastic lens array is placed on top of a sparse, rigid array of pixels. This lens array is then stretched using a small mechanical motion in order to change the field of view of the system. We present in this paper the characterization of such a system and simulations which demonstrate the capabilities of stretchcam.

We follow this with the presentation of images captured from a prototype device of the proposed design. Our prototype system is able to achieve 1. To manage an IoT device, the user first needs to join it to an existing network. Then, the IoT device has to be authenticated by the user. The authentication process often requires a two-way communication between the new device and a trusted entity, which is typically a hand- held device owned by the user.

To ease and standardize this process, we present the Device Enrollment Protocol DEP as a solution to the enrollment problem described above. The application allows the user to authenticate IoT devices and join them to an existing protected network. However, RNNs are still often used as a black box with limited understanding of the hidden representation that they learn.

Technical Reports

Existing approaches such as visualization are limited by the manual effort to examine the visualizations and require considerable expertise, while neural attention models change, rather than interpret, the model. We propose a technique to search for neurons based on existing interpretable models, features, or programs. Reliable Synchronization in Multithreaded Servers Rui Gu State machine replication SMR leverages distributed consensus protocols such as PAXOS to keep multiple replicas of a program consistent in face of replica failures or network partitions.

This fault tolerance is enticing on implementing a principled SMR system that replicates general programs, especially server programs that demand high availability. Unfortunately, SMR assumes deterministic execution, but most server programs are multithreaded and thus non-deterministic. Moreover, existing SMR systems provide narrow state machine interfaces to suit specific programs, and it can be quite strenuous and error-prone to orchestrate a general program into these interfaces This paper presents CRANE, an SMR system that trans- parently replicates general server programs.

It leverages deterministic multithreading specifically, our prior system PARROT to make multithreaded replicas deterministic. It uses a new technique we call time bubbling to efficiently tackle a difficult challenge of non-deterministic network input timing. Evaluation on five widely used server programs e. Deobfuscating Android Applications through Deep Learning Fang-Hsiang Su, Jonathan Bell, Gail Kaiser, Baishakhi Ray Android applications are nearly always obfuscated before release, making it difficult to analyze them for malware presence or intellectual property violations.

Obfuscators might hide the true intent of code by renaming variables, modifying the control flow of methods, or inserting additional code. Prior approaches toward automated deobfuscation of Android applications have relied on certain structural parts of apps remaining as landmarks, un-touched by obfuscation. For instance, some prior approaches have assumed that the structural relation- ships between identifiers e.

Both approaches can be easily defeated by a motivated obfuscator. MACNETO makes few assumptions about the kinds of modifications that an obfuscator might perform, and we show that it has high precision when applied to two different state-of-the-art obfuscators: Kim Dynamic reconfiguration systems guided by coarse-grained program phases has found success in improving overall program performance and energy efficiency.

In this study, we detect program phases using interval sizes on the order of tens, hundreds, and thousands of program cycles. This is in stark contrast with prior phase detection studies where the interval size is on the order of several thousands to millions of cycles. The primary goal of this study is to begin to fill a gap in the literature on phase detection by characterizing super fine-grained program phases and demonstrating an application where detection of these relatively short-lived phases can be instrumental.

Traditional models for phase detection including basic block vectors and working set signatures are used to detect super fine-grained phases as well as a less traditional model based on microprocessor activity. Finally, we show an analytical case study where super fine-grained phases are applied to voltage and frequency scaling optimizations.

Unfortunately, there is little quantitative data on how well existing tools can detect these attacks.

Essays in quasi realism pdf file

This paper presents the first quantitative study on concurrency attacks and their implications on tools. Our study on 10 widely used programs reveals 26 concurrency attacks with broad threats e. Our study further reveals that, only extremely small portions of inputs and thread interleavings or schedules can trigger these attacks, and existing concurrency bug detectors work poorly because they lack help to identify the vulnerable inputs and schedules.

Our key insight is that the reports in existing detectors have implied moderate hints on what inputs and schedules will likely lead to attacks and what will not e.

With this insight, this paper presents a new directed concurrency attack detection approach and its implementation, OWL. It extracts hints from the reports with static analysis, augments existing detectors by pruning out the benign inputs and schedules, and then directs detectors and its own runtime vulnerability verifiers to work on the remaining, likely vulnerable inputs and schedules.

Evaluation shows that OWL reduced All OWL source code, exploit scripts, and results are available at https: The relationship has always be seen as voluntary. Newly discovered evidence raises the question of whether Fabyan was in fact paid, at least in part, for his services, but available records do not provide a definitive answer. Bellovin New information has been discovered about Frank Miller's one-time pad.

Essays in quasi realism pdf file

These documents explain Miller's threat model and show that he had a reasonably deep understanding of the problem; they also suggest that his scheme was used more than had been supposed. A Software Engineering Perspective on Game Bugs Iris Zhang In the past decade, the complexity of video games have increased dramatically and so have the complexity of software systems behind them. The difficulty in designing and testing games invariably leads to bugs that manifest themselves across funny video reels on graphical glitches and millions of submitted support tickets.

This paper presents an analysis of game developers and their teams who have knowingly released bugs to see what factors may motivate them in doing so. It examines different development environments as well as inquiring into varied types of game platforms and play-style. Above all, it seeks out how established research on software development best practices and challenges should inform understanding of these bugs. These findings may lead to targeted efforts to mitigate some of the factors leading to glitches, tailored to the specific needs of the game development team.

Software Engineering Methodologies and Life Scott Lennon The paradigms of design patterns and software engineering methodologies are methods that apply to areas outside the software space. As a business owner and student, I implement many software principles daily in both my work and personal life. After experiencing the power of Agile methodologies outside the scope of software engineering, I always think about how I can integrate the computer science skills that I am learning at Columbia in my life.

For my study, I seek to learn about other software engineering development processes that can be useful in life. I theorize that if a model such as Agile can provide me with useful tools, then a model that the government and most of the world trusts should have paradigms I can learn with as well. The software model I will study is open source software OSS. My study shall describe the similarities that exist between these two methodologies.

In the process of my research, I was able to implement the values and paradigms that define the OSS development model to work more productively in my business. Software engineering core values and models can be used as a tool to improve our lives.

Programming Understanding from Similar Code Anush Ramsurat The aim of the user study conducted is primarily threefold: While most approaches focus on identifying code that looks alike, some researchers propose to detect instead code that functions alike, which are known as functional clones. However, previous work has raised the technical challenges to detect these functional clones in object oriented languages such as Java.

We propose a novel technique, In-Vivo Clone Detection, a language-agnostic technique that detects functional clones in arbitrary programs by observing and mining inputs and outputs. We implemented this technique targeting programs that run on the JVM, creating HitoshiIO available freely on GitHub , a tool to detect functional code clones.

Our experimental results show that it is powerful in detecting these functional clones, finding methods that are functionally similar across a corpus of projects, even when there are only very few inputs available.

Many of these web applications are quite storage-intensive. Cloud computing offers attractive and economical choices for meeting their storage needs. Unfortunately, it remains challenging for developers to best leverage them to minimize cost.

Philosophy of mathematics

This paper presents Grandet, a storage system that greatly reduces storage cost for web applications deployed in the cloud. Grandet provides both a key-value interface and a file system interface, supporting a broad spectrum of web applications. Under the hood, it supports multiple heterogeneous stores, and unifies them by placing each data object at the store deemed most economical.

We implemented Grandet on Amazon Web Services and evaluated Grandet on a diverse set of four popular open-source web applications. Our results show that Grandet reduces their cost by an average of The source code of Grandet is at http: We show how the ARM hardware support for virtualization can support much faster transitions between the VM and the hypervisor, a key hypervisor operation.

However, current hypervisor designs, including both KVM Type 1 and Xen Type 2 , are not able to lever- age this performance benefit in practice for real application workloads. We discuss the reasons why and show that other factors related to hypervisor software design and implementation have a larger role in overall performance than the speed of micro architectural operations.

These changes have been incorporated into the latest ARM architecture. We measure the speed-up on a bubble oscillation test with varying mesh resolution.

We also report a few examples with higher complexity than previously achieved. Directly translating these structures yields infinitely large circuits; a subtler approach is required. We propose a sequence of abstraction-lowering transformations that exposes time and memory in a Haskell program.

This paper outlines these transformations on a specific example; future research will focus on generalizing and automating them in our group's compiler.