PERANGKAT LUNAK KEAMANAN BERBASIS FILE MENGGUNAKAN ALGORITMA KRIPTOGRAFI VIGENERE CIPHER

Security is an important aspect of an information system. Many people do not know how to secure files that are created or received or do not know how to protect files that are created or received so that there is no theft of files that cause information from those files to leak. Every organization, industry, or infrastructure, needs a level of network security solution to protect against the growing hacker threats in today's world. Text files that contain information in text form. Data originating from word processing documents, numbers used in calculations, names and addresses in the database are examples of text data input consisting of characters, numbers and punctuation marks. Input and output text data is represented as a character set or code system recognized by the computer system. Cryptography is a science that studies how to keep data safe when sent, from sender to receiver without experiencing interference from third parties. Vigenere Cipher is method of encrypting alphabetic text using letter and numbers. This table is usually referred to as the Vigenere Table. The concept of cryptography itself has long been used by humans, for example in the Egyptian and Roman civilizations, although it is still very simple

Feedback Controller Design andTest of a Buck- Boost Convertor

© ASEE 2014Power electronics could be a terribly speedily growing region within the field of applied science. Devices that have to be terrible power economically, and have long battery life, while still being sturdy are commonplace within the contemporary world. DC-DC converters are to DC current devices what transformers are to AC devices. There are many varieties of those converters with numerous topologies and practicality. The control of convertor devices, so as to realize the system needs for common applications is important so as that the appliance functions as required. Control Students can realize specific interest within the modelling aspects of DC device system design; Power students can realize convinced curiosity within the power transmission and delivery aspects of the design. The design is going to be of interest to industrial computer systems students in making numerous interfaces by that to implement the control; and renewable energy students can realize significant within the manner that these management systems may be applied to the control of assorted renewable applications, as an example solar power. Also, Back- Boost converter is step up/ down converter that allows the output voltage to be greater or lower than the input voltage by changing duty-ratio D. Photovoltaic systems are widely used to convert solar energy to electricity. The output of the PV system is strongly affected by the weather. In order to maintain the stability of the power, rechargeable battery is necessary to store the electricity temporarily. The author object, in this poster, is to make the output voltage of PV constant to connect its rechargeable battery 12v DC. The power pole board helps students by raising or educing the output voltage by adding other pieces to make Busk, Boost, and Back boost converter. Therefor, In this poster, the design of a feedback control compensator device to suit Back- Boost converter is presented. The device that was used is a configurable experimental laboratory device available by the University of Bridgeport. The Author had a target to provide a fast and stable response to both input voltage disturbances and change in load resistance type disturbances. The voltage output was required to remain constant 12v DC or return to steady state as fast as possible, whatever input voltage that comes from a solar panel, and when there is any changes in load. The designer will use a transfer function of the power stage (Back- Boost convertor) to find out the values of controller components such as (R, L and C). Also, the author works on PSPICE even a MATLAB program to get on bode plot of Back- Boost convertor then can simulate all figures in order to prove the feedback control circuit works theoretically and practically. Furthermore, waves by oscilloscope will present to show the output and input of the Back - Boost convertor. Finally, the voltage feedback controller circuit with a power pole board and solar panel will help in providing a constant DC voltage source from a solar panel

Democratizing Self-Service Data Preparation through Example Guided Program Synthesis,

The majority of real-world data we can access today have one thing in common: they are not immediately usable in their original state. Trapped in a swamp of data usability issues like non-standard data formats and heterogeneous data sources, most data analysts and machine learning practitioners have to burden themselves with "data janitor" work, writing ad-hoc Python, PERL or SQL scripts, which is tedious and inefficient. It is estimated that data scientists or analysts typically spend 80% of their time in preparing data, a significant amount of human effort that can be redirected to better goals. In this dissertation, we accomplish this task by harnessing knowledge such as examples and other useful hints from the end user. We develop program synthesis techniques guided by heuristics and machine learning, which effectively make data preparation less painful and more efficient to perform by data users, particularly those with little to no programming experience. Data transformation, also called data wrangling or data munging, is an important task in data preparation, seeking to convert data from one format to a different (often more structured) format. Our system Foofah shows that allowing end users to describe their desired transformation, through providing small input-output transformation examples, can significantly reduce the overall user effort. The underlying program synthesizer can often succeed in finding meaningful data transformation programs within a reasonably short amount of time. Our second system, CLX, demonstrates that sometimes the user does not even need to provide complete input-output examples, but only label ones that are desirable if they exist in the original dataset. The system is still capable of suggesting reasonable and explainable transformation operations to fix the non-standard data format issue in a dataset full of heterogeneous data with varied formats. PRISM, our third system, targets a data preparation task of data integration, i.e., combining multiple relations to formulate a desired schema. PRISM allows the user to describe the target schema using not only high-resolution (precise) constraints of complete example data records in the target schema, but also (imprecise) constraints of varied resolutions, such as incomplete data record examples with missing values, value ranges, or multiple possible values in each element (cell), so as to require less familiarity of the database contents from the end user.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/163059/1/markjin_1.pd

Identification of Nonlinear Systems Using Radial Basis Function Neural Network

This paper uses the radial basis function neural network (RBFNN) for system identification of nonlinear systems. Five nonlinear systems are used to examine the activity of RBFNN in system modeling of nonlinear systems; the five nonlinear systems are dual tank system, single tank system, DC motor system, and two academic models. The feed forward method is considered in this work for modelling the non-linear dynamic models, where the KMeans clustering algorithm used in this paper to select the centers of radial basis function network, because it is reliable, offers fast convergence and can handle large data sets. The least mean square method is used to adjust the weights to the output layer, and Euclidean distance method used to measure the width of the Gaussian function

Ranking the economic importance of countries and industries

In the current era of worldwide market interdependencies, the global financial village has become increasingly vulnerable to systemic collapse. The global financial crisis has highlighted the necessity of understanding and quantifying the interdependencies among the world’s economies; developing new, effective approaches for risk evaluation; and providing mitigating solutions. We present a methodological framework for quantifying interdependencies in the global market and for evaluating risk levels in the worldwide financial network. The resulting information will enable policy and decision makers to better measure, understand and maintain financial stability. We use this methodology to rank the economic importance of each industry and country according to the global damage that would result from its failure. Our quantitative results shed new light on China’s increasing economic dominance over other economies, including that of the United States, as well as the global economy

KBE frameworks and their applicability to a resource-based country: The case of Brunei Darussalam

Knowledge is generally considered to be one of the most important drivers of economic growth. The difference between a knowledge-based economy (KBE) and a resource-based one is that in the former, the main competition between individuals, firms, and countries is the ability to innovate. Other forms of competition, for example through pricing strategies and access to resources, become secondary. Generally, knowledge is information combined with technology that dramatically increases its impact when shared. Organizations such as the Organization for Economic Cooperation and Development (OECD), Asia Pacific Economic Cooperation Forum (APEC), Australian Bureau of Statistics (ABS) and the World Bank Institute (WBI) have developed different KBE frameworks to indicate the extent of countries' knowledge base and implicitly to guide policy. But these frameworks have little in theoretical underpinnings and applying them universally across all countries in different regions, at different stages of development and with different institutional, social and economic characteristics may be misleading and result in inappropriate policy responses. In this paper we propose a framework that clearly distinguishes input-output indicators of a knowledge-based economy under four important dimensions: knowledge acquisition, knowledge production, knowledge distribution and knowledge utilization, and attempt to adapt them in a practical policy oriented approach for an economy like Brunei Darussalam, which is attempting to transform from a resource-based to a knowledge-based economy

Restricting water withdrawals of the thermal power sector: An input-output analysis for the northeast of the United States

As water scarcity and pollution of sources become increasingly severe and widespread, competition over this resource intensifies. Unlike much of the rest of the world, thermal power plants in the US are the biggest users of water due to heavy reliance on once-through cooling technology. This cooling technology withdraws large amounts of water and discharges it back almost in its entirety but at higher temperatures. These water withdrawals are increasingly subjected to legislation intended to reduce the effects of thermal pollution. We utilize an interregional input-output model for quantifying the money costs and the shifts in the distribution of power production by state and by technology when withdrawals and discharges of fresh water are restricted. This model allows for the choice among alternative power generation technologies with different cost structures within each state. We analyze a Baseline scenario for 2010 and alternative scenarios that impose constraints on water withdrawals and inter-state power transmission. Based on an annual analysis, we conclude that this region can satisfy its electric power requirements while fully complying with legislated water restrictions at moderate cost by compensating the curtailment of output from some plants by otherwise unutilized capacities of other plants in the region. When we revisit the analysis using a monthly time step, however, sharp seasonal variations exhibit a strong impact on economic costs. In the summer months, intra-state transmission does not suffice, and regional demand cannot be met in the absence of substantial inter-state transmission. © 2018This study is based on work supported by U. S. National Science Foundation Award No. 1049181 , “A Regional Earth System Model of the Northeast Corridor: Analyzing 21st Century Climate and Environment.