scholarly journals Sử dụng mạng máy tính phân tán trong xây dựng giải pháp thám mã khối

2022 ◽  
Vol 1 (13) ◽  
pp. 71-79
Author(s):  
Hoàng Thái Hổ ◽  
Nguyễn Thế Hùng ◽  
Nguyễn Tuấn Minh

Tóm tắt—Bài báo trình bày một giải pháp sử dụng năng lực của mạng máy tính phân tán cho thám mã khối. Hệ thống có cấu trúc dựa trên 3 phần mềm. Phần mềm quản trị sử dụng cho nhập dữ liệu đầu vào, phân tích và chia khoảng không gian khóa và phân tích kết quả. Phần mềm thám mã trên CPU và GPU được cài đặt tương ứng cho các máy tính trong mạng phân tán có nhiệm vụ thám mã đối với dữ liệu phần mềm quản trị cung cấp. Kết quả được gửi về phần mềm quản trị để phân tích và giải mã. Quá trình thám mã được thực hiện cùng lúc trên toàn bộ máy tính trong mạng vào thời gian máy tính nhàn rỗi, không ảnh hưởng tới hoạt động hàng ngày của người dùng. Hệ thống bao gồm cả các máy tính có sử card GPU giúp tăng hiệu suất thám mã lên gấp 11 lần. Giải pháp đã được ứng dụng trong thám mật khẩu Windows qua mã băm LAN Manager. Abstract—This paper presents a method to use the capabilities of distributed computer networks in cryptanalysis of block ciphers. The system is structured based on 3 software. Management software for input data entry, analysis, and keyspace division. Cryptanalysis software on CPU and GPU is installed respectively for client computers in the distributed network is responsible for cryptanalysis of data provided by the management software. The results are sent to the administrative software for analysis and decoding. The encryption process is performed on all computers in the network at the same time in their spare time, without affecting the user's daily activities. The system includes GPU computers that increase the performance of the cryptanalysis by 11 times. This solution has been applied in Windows password detection via LAN Manager hash code. 

2010 ◽  
Vol 20 (4) ◽  
pp. 654-665 ◽  
Author(s):  
Miguel L. Bote-Lorenzo ◽  
Juan I. Asensio-Pérez ◽  
Eduardo Gómez-Sánchez ◽  
Guillermo Vega-Gorgojo ◽  
Carlos Alario-Hoyos

2018 ◽  
Vol 3 (1) ◽  
pp. 52
Author(s):  
Nur Rochmah Dyah Puji Astuti ◽  
Yoga Putra Pamungkas

Behavior of sexual deviation is an unacceptable sexual behavior among the public. The lack of knowledge and the many obstacles to obtain information about early detection and community independence about sexual deviation and ignorance of the community in dealing with sexual deviation is also a factor not handled early. Forward chaining, consultation begins with a search of the premise or input data in the form of symptoms to the conclusion that is the conclusion of the type of deviation behavior as well as the solution. From the above problems will be built Web-based system that serves to detect the beginning independently of the perceived disorders that can be accessed with an extensive lap and time is not limited.The system is built using PHP and MySQL programming as the database. The method used for forwarding is forward chaining. While the results of the diagnosis will inform about the diagnosis of the list of symptoms included, information on the results of the rules of the disorder suffered and information about the possibility of handling can be done.Black box testing techniques are emphasized on data entry, output data, system functions, performance, and initialization in the system. While testing the alpha test is done by inviting 10 respondents testing is emphasized on the interface, dialogue, and information generated. From the results of testing the alpha test shows that the system created has been running well and produce information that is accurate, and easy to understand.


Author(s):  
Alfredo Eurico Rodrígues Matta

Since the first manifestations of what was agreed to be called civilization, humanity has been considering cities and urbanity relations the main centers for socialization and political interaction in people’s lives and daily activities. The birth of cities allowed the formation of cooperation groups, which despite being created from shared work and urban social duties, got together for the same objectives in their communities and were interdependent. Nevertheless, many times such groups were under tension and conflict as contingent residence places and shared geographic centers were rarely based on interests in social interaction, or sharing projects and affectivity. Therefore, cities were consolidated as centers for socialization, and manifestations of interests and collective interrelations, as well as privileged stages for social constructions, disputes, conflicts and witnesses of social histories.


Author(s):  
Michelle Shumate ◽  
Liz Howard

In this case, lessons from the Chicago Benchmarking Collaborative illustrate key principles of collaborative action and the importance of using data to achieve SMART goals. In 2015, the Chicago Benchmarking Collaborative (CBC) was a network of seven agencies in Chicago, Illinois, serving 12,000 low-income residents. Each of the agencies had early childhood, school-age children, and adult education programs. At the prompting of the Chicago Community Trust, they came together to (1) benchmark their education programs outputs and outcomes; (2) learn and share best practices through developing a common set of metrics and measurements and implementing these measurements into a case management software system; and (3) share the costs of the case management software system to be used for program evaluation and continuous quality improvement. Three aspects of CBC are particularly noteworthy. First, there are no joint program activities or clients among these agencies. Their exchange is limited to sharing data and other information. This makes CBC distinct from collaborations formed to begin a program or to advocate for a policy. Second, the group requires each agency to enter data on a timely basis and to set SMART goals based on the data reports. The agencies are held mutually accountable for their work to achieve their own SMART goals during the year and report on progress. Third, CBC used monetary incentives to ensure that data entry and SMART goal action remained a priority for each agency.


2021 ◽  
Vol 2 (2) ◽  
pp. 135-150
Author(s):  
Zaqqi Ubaidillah

DM clients will continue to carry out daily activities like normal people in general, including driving activities. The most trips made by DM patients are to work, fill spare time, recreation and health services. However, there are dangers that can cause accidental diabetic clients, including blood glucose disorders, decreased visual acuity and neuropathy. The risk of accidents for diabetic clients is high. The purpose of this service is that this activity is expected to be able to increase understanding for diabetic clients and prevent the risk of accidents for DM clients. The sampling technique in this service uses purposive sampling. Diabetic clients who participate in this service generally experience problems in driving. The perceived disturbances include frequent fatigue, visual disturbances, decreased response, hyperglycemia and hypoglycemia. It is necessary to have periodic checks in collaboration with the puskesmas regarding this matter. Thus, diabetic clients who are still actively driving are prevented from having accidents.


Jurnal Pari ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Ansar Ansar

ABSTRAKFitur Pick-List yang ada pada Winisis merupakan cara untuk membantu kemudahan petugas mengimput data dalam pemasukan data pada suatu sistem aplikasi. Dengan sarana ini pembuatan cantuman menjadi lebih efisien karena isi ruas yang panjang dan sering digunakan tidak perlu diketik. Sebagai contoh, Perpustaan yang menerima Karya Tulis Ilmiah (KTI) terbitan dari Pusat Penelitian dan Pengembangan Perikanan Budidaya, Jakarta, secara teratur akan mengisi ruas PENERBITAN dengan nama kota tempat badan ini bekedudukan dan nama badan ini untuk setiap terbitan baru.  Agar isi ruas PENERBITAN untuk terbitan dari Pusat Penelitian dan Pengembangan Perikanan Budidaya tidak perlu diketik lagi, karena dalam program Winisis dapat diciptakan daftar isi pilihan isi ruas, yang salah satu isinya adalah ‘^aJakarta^b Pusat Penelitian dan Pengembangan Perikanan Budidaya’.  Melalui fitur ini, petugas input data hanya perlu  memilih salah satu Pick-List yang ingin diinput dari suatu daftar yang sudah disediakan sebelumnya. ABSTRACTPick-list feature in Winsis is a tool to assist a librarian to input data on data entry in an application system. This feature makes a listing become more efficient because the long segment of content which is often used, doesn’t need to to be typed. For example, libraries which regularly receive scientific paper published by the Research and Development Center of Aquaculture Institute, Jakarta, will fill PUBLISHING segment including the name of the city where this agency is located for each new issue. Content of publishing segment for publication by the Research and Development Center of Aquaculture does not necessary to be typed anymore because in Winsis program content choices segment can be created  by an instruction  ^aJakarta^b Research and Development Centre Aquaculture. Through this feature, data input officer needs to only select one of Pick-List which meant to be inputted from a list that has been provided previously.


Author(s):  
Andrea Capitanelli ◽  
Michele Germani ◽  
Daniele Landi ◽  
Alessandra Papetti

The actual growing world energy demand is generating strong attention to the energy efficiency and to the environmental sustainability. The residential sector is one of the most energy-intensive reaching about 25% of global energy consumption. Furthermore, it is difficult to understand the real energy use in residential buildings suggesting the development of methodologies and tools to monitor and assess their energy performances. Such an analysis requires defining all the actors, their interaction rules and the intelligent management of a large amount of data. In addition to this, the energy performances of the home environment are closely related to the specific case under investigation, in fact it imposes the analysis of the particular application scenario and the target users to extract parameters able to describe the building behavior. They are related to the technological characteristics of the systems, to the external environment (e.g. external temperature, solar irradiation, etc.) and to the user needs and habits. It introduces some complexities, because many of these data are difficult to find and to predict. Another cause of complexity was introduced by the information and communication technologies (ICT) that creates new relationship between home devices fostering the spread of smart systems. In this scenario, simulation tools have been developed to grasp the real energy performance of a building, but they require a high level of detail for the input data which are often difficult to find. Otherwise, other tools are built for much simplified simulations and typically addressed to inexperienced users neglecting the real complexities of the system. For this reason, the paper presents a new design approach that aims to develop knowledge-based tools with architecture able to simulate the real behavior of the building considering all the actors and their interaction rules, but at the same time containing the features that allow them to be used in fast simulations or by inexperienced users. One of the focuses is the development of an intelligent user interface that, when requested, is able to automate and simplify data entry process. It is particularly useful when the user does not know the necessary input data for the simulation, e.g. energy consumption profiles, detailed features of the building, etc. All the steps of the proposed approach are described in the paper. In the first section is highlighted how the key parameters have been found and how they are organized as creating a knowledge base, while in the second section is shown the operation of the smart user interface and of the simulation tool. The results demonstrate that the proposed knowledge-based approach generates real benefits by simplifying and speeding up the data entry. Furthermore, the study shows how the smart user interface allows performing complex simulations also to novice users.


2015 ◽  
Vol 801 ◽  
pp. 257-261
Author(s):  
Lucian Rusu ◽  
Cosmina Vigaru ◽  
Dan Ioan Stoia

The human body is a very complex system which is studied by doctors but also by engineers. The human motion analysis is an important topic in the biomechanical field. It is essential to determine the forces and torques that appears in joints during daily activities for the development of implants and prosthesis. The goal of this paper is to establish time variation of force and torque in the human ankle joint during one walking step. For this experiment we used two equipments witch record the ground reaction force respectively the angular motion for the ankle joint. Based on these measurements and using the anthropometric patient parameters we developed an application (using in Matlab – Simulink software) that calculates the forces and torques that appear in the human ankle joint. The application simulates the motion taking into account the mass inertia moments. The results of simulation are the forces and torques that appear in ankle joint. The application can simulate any type of human motion, according to the input data from the excel file. These results can be used further for the optimization of ankle implants or prosthesis.


2018 ◽  
Vol 28 (4) ◽  
pp. 1433-1438
Author(s):  
Sasho Dodevski

The emphasis of this work is on the synchronisation of all activities within the manufacturing system, which is a permanent challenge for both a successful manufacture and business in general. For the realisation of this research task it is necessary to start with the structure of the manufacturing system and to theemphasis the hierarchy of objectives and also the strategies which should be employed for their realisation. Thevalidity of the concept suggested is estimated out by computer simulation, using the initial data from theindustry. The Perftech.Largo ERP software is used in the TAB-MAK accumulator factory. is a simple and technically updated software for creating effective comprehensive business information systems that can at any time provide users with the desired status information in the company. The most commonly used modules in TAB-MAK are: finance, human resources management, sales and procurement, external operations, production, material operations. The simulation program starts with a temporary presumption that the materials needed for reproduction are available in the input data of the warehouse. All work orders are processed and sent to the data entry of the warehouse. The program starts the data at the time of occurrence of any work order within the system at the time required for its realization and automatically takes into account the priorities of each working order. The user has an intermediate warehouse that enables normal operation of the production process and optimal supply time.


Author(s):  
Fangping Lu ◽  
Fang Zhao ◽  
Lynette Cheah

This paper studies the activity profiles of truck drivers in urban areas. Finding repeating dynamical patterns is important in understanding freight behaviors, and aids freight-friendly planning. In the digital age, data on truck drivers is becoming more available with heterogeneous demographic and work profiles. By synthesizing such pervasive data and applying machine learning concepts, this paper proposes to identify signature travel activity patterns via dimensionality reduction. Based on driver survey data, truck drivers’ behaviors are represented as longitudinal activity sequences. Dimensionality reduction and activity reconstruction via principal components analysis (PCA), logistic PCA, and autoencoder were conducted to reveal fundamental activity features and approximate the underlying data-generating function. In the driver survey dataset, 243 truck drivers in Singapore reported their daily activities for 1,099 weekdays. This study found that PCA produced the most faithful reconstruction of drivers’ activities. When projecting the input data down from 2,592 to 82 dimensions, PCA explained 77% of variances with a reconstruction error of 0.99%. Logistic PCA is a useful extension of PCA to study the pattern of a single activity. It captures the variation of infrequent activities such as truck queuing, which PCA fails to reconstruct. Autoencoder was found to be more powerful than PCA in reconstructing activities – with 1% of original dimensions, it reconstructed the activities with an error rate of 1.24%. Moreover, when implemented as a variational autoencoder, autoencoder generated realistic-looking samples of driver activities. The top three most distinctive activity patterns of Singapore truck drivers are reported using PCA.


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