Computer Science

• Distributed algorithms of mobile computing • OS and middleware support for mobile computing and networking • Routing, and communication primitives in ad-hoc and sensor networks • Synchronization and scheduling issues in mobile and ad hoc networks • Resource management in mobile, wireless and ad-hoc networks • Data management on mobile and wireless computing • Integration of wired and wireless networks • Broadband access networks • Energy saving protocols for ad hoc and sensor networks • Complexity analysis of algorithms for mobile environments • Information access in wireless networks • Algorithms and modeling for tracking and locating mobile users • Satellite communications • Cryptography, security and privacy of mobile & wireless networks

In traditional attendance in the most institution, the lecturers rely on attendance sheet pass across to students to sign. With the increase in the number of students nowadays, the difficulties in attendance record have increased tremendously. Also, as attendance is pass round to some students, the student added the name of a friend who is not physically present. The system is time-consuming and inadequate. To address this inadequacy, this paper proposes an Ontology-Based Smart Attendance (OBSA). The paper presents OBSA with a mobile application as an agent that automatically mark a student's attendance when the student gets to the faculty with their login detail. OBSA also synchronizes the students' public information with the faculty agent, thereby suggesting events to students in the faculty. An Android Mobile Application Porotype (AAMAP) is developed using Java to monitor the attendance system.

The application of the Internet of Things (IoT) in agriculture captures an enormous amount of data for decision making. However, hardest-to-detect abnormal data points that are transmitted can be harmful if not detected at an earlier stage. This paper presents an application of the Superimposed-Rule Based Classification Algorithm (SRBCA) using IoT in agriculture that lowers the false positive in anomaly detection by training one-class dataset of a ground-truth collection of agricultural sensor readings and evaluating using the combination of ground-truth and synthetic balanced test set. The CRoss-Industry Standard Process for Data Mining (CRISP-DM) methodology was used as a guide in the development of the study. The SRBCA was developed to detect conditional anomalous instances. The model was tested with one (1) year daily collection of environmental sensors. This algorithm considers the behavior and indicator features for anomaly detection. Moreover, a confusion matrix is presented showing the accuracy of the result of the SRBCA compared with One-Class Support Vector Machine (OCSVM) and its types which were considered as the closest prior art of the algorithm. The experimental results show that SRBCA performed better in identifying conditional anomaly over OCSVM and its varieties.

In this paper we report experimental results on the capacitive range, stability and reliability of low-cost and high-performance analog MEMS varactors. Our varactors are contact-less, parallel-plate devices with a tuning range of nearly 3:1 and high maximum capacitance value of 272 fF. Total lack of ohmic and dielectric contacts considerably enhances the robustness of our proposed varactor, which does not

... Costas D. Sarris', Karen Tomko', Pawel Czarnu13, Shih-Hao Hung3, Robert L. Robertson', Donghoon Chun', Edward S. Davidson3 and Linda P. B. Katehi' Radiation Laboratory, EECS, University of Michigan, Ann Arbor Department of Electrical and ... A Ta/hve ed.. Anech Houre. ...

In Network Security and Cryptography, hash functions play a very important role. To check the Integrity, Authenticity of information or data transmitting between the Seder and receiver party hash algorithms are used. Digital signature also uses the hash algorithm. Hash function used for key generation in Symmetric and Asymmetric Key Cryptosystems. Different algorithms provide different level of security depending on how difficult is to break them. The most well-known hash algorithms are SHA-1, SHA-2, SHA-3, MD4, MD5 and Whirlpool etc. This paper discusses importance of hash functions, description about various well known hash functions, and comparative analysis of various hash algorithms.

This study is carried out to evaluate the effect of computer virus infection of files and productivity of business enterprises. Chi-square test, tables, graphs, percentage and other simple statistical tools were used in the analysis of the data collated. The findings show that virus infection has effect on productivity of business enterprise. The magnitude of the effect depends on installation or uninstallation of anti-virus software on computer system. The study recommends that business enterprise owners should make sure that their computers run antivirus software; this software must be updated regularly as new virus appears daily; files should be regularly backed up in case the computer becomes infected, that way valuable data would not be lost.

In this paper, I will explore Leibniz Law viz. the Identity of Indiscernibles, through an equivalent formulation by McTaggart, called Dissimilarity of the Diverse, emphasizing on the notion of Difference, as far as a non-idealist view allows. I will discuss how the second account, despite its historical failure to obtain appropriate attention among philosophers, can have advantages over the first, and, eventually, develop a model to explain the process of conceptualization by cognitive agents, using this latter account, which I shall call the Conceptual Network Model (CNM). A puzzle regarding the notions of Sets and Properties is introduced, and I will, then, try to make use of CNM in order to resolve it. I shall, also, suggest considerations that, applying the CNM, would lead to a modified view of possible worlds semantics, in the light of more recent advancements in modal thinking. Finally, I will provide an ontological account of the notion of Sense for objects, as historically evoked by Frege, that, using CNM, prevents, as I suppose, the most notable criticism made against common views in the field.

Faculty of Electronic Engineering, GIK Institute of Engineering Sciences and Technology, Topi, 23460, Swabi, Pakistan ... *Computer Science Department, LUMS, Opposite Sector U, DHA, Lahore. ... ABSTRACT In this paper an implicitly restarted Krylov subspace model ...

Significant developments have taken place in the area of large-scale matrix computations. Much of these advancements are the result of contributions from Krylov subspace techniques. The popularity of this class of iterative methods in solving large sets of linear and non-linear equations as well as large eigenvalue problems stems from their relative simplicity and generality. Recognizing this property, the paper

The aim of this study is to develop a plugin, which works in conjunction with Rhinoceros software, that both estimates and reports storm water runoff. The plugin is initially developed based on the SCS Runoff Curve Number Method. The CN method is the most commonly used method for determining peak discharges from small drainage areas. The formula is traditionally used to size storm sewers, channels, and other storm water structures which handle runoff from drainage areas of less than 1 km 2. For this purpose, all data, such as land use description, hydrologic soil groups, cover type, runoff curve numbers, time of concentration in minutes, slope, drainage area, rainfall depth in 24 hours duration , unit peak discharge, rainfall intensity at time concentration, rainfall data for the different sites in Turkey, are important. Each is used as an input for the operation of the plugin which also takes sensitive design data, such as topographic, footprint, hard and soft landscape surfaces, from existing drawings and makes estimations. After obtaining all the necessary data and writing the plugin, a case study area in the form of a high density urban area in Istanbul, will be analyzed using the plugin. The accuracy of the results will be compared with the results we get from traditional calculations. The importance of the study derives from facilitating the process of storm water runoff estimation that is one of the outstanding factors of the architectural, landscape and urban design process related to sustainability. In addition, this research presents a user-friendly decision support and even decision-making tool by employing recent computer technologies by corresponding to the lack of research in literature. With this research, it is aimed both to accelerate and ease the estimation process in terms of storm water management, and also to create an evaluation and decision support system for designers.

Landscape grading is a highly critical topic in the landscape architecture curriculum, which provides crucial skills for students, such as three dimensional visual imagination, critical thinking, management and problem solving. This research aims to develop an educational video game as a learning support tool that helps undergraduate landscape architecture students to acquire the essential knowledge and skills for the basics of landscape grading. In addition, this research focuses on supporting the conventional education system by assisting students to gain essential knowledge and skills through achieving the given well-designed learning tasks. In order to enhance motivation and increase learning rate, this educational video game helps students to practice: (1) understanding of the contour map and its rules, (2) identifying the signature landforms and slope shapes, and (3) preparing landscape grading projects to solve storm water drainage problems. This research aims to facilitate the learning of landscape grading topics by visualizing the textual curriculum with three-dimensional models, instructional images and animations. This research also aims to engage students in the learning of landscape grading topics by employing the game mechanics by blending the conventional teaching tools with the opportunities of the gaming technologies. Moreover, the proposed video game presents an immersive self-oriented learning environment that allows students to learn actively by accessing information in a hyperlinked network rather than being listeners of streaming information. The importance of this research lies in the use of existing digital technologies to enhance the learning rate for landscape architecture education as a response of literature deficiency in landscape architecture. In this research, three problem-based learning scenarios were created based on the curriculum and divided into instructional and training tasks. The instructional tasks refer to the tutorial tasks, which focus on increasing the understanding and learning of content and encouraging students to engage themselves in the learning process by explaining through the clearly and well-defined instructions. The training tasks allow students to exercise in curricular topics by achieving the given tasks. In addition, the difficulty level of training tasks steps up gradually and mentoring support is reduced to help students to increase expertise on given topics. Afterwards, a three-dimensional educational video game was created based on the learning scenarios by reprogramming the OpenSimulator software using the LSL scripting language. A three-phased experimental study was conducted in order to overcome the deficiencies identified through evaluations of the prior study; the authors have improved the software. The new improved version was tested on two randomly selected groups (n=32) (control and experiment) of undergraduate landscape architecture students at Istanbul Technical University in order to evaluate the pedagogical and instructional effects of the proposed video game. As a result of the gathered qualitative and quantitative data, two-tailed paired samples t-test revealed that the experimental group scored 15.42 % higher points (m = 47.1800, s = 9.17499) compared to the control group (m = 31.7667, s = 4.62667), t(2) = 2.030, p≤.05.

In big cloud structures or large data structures, fog computing could be interpreted, referring critically to the growing issues and problems in accessing the information among Internet of things (IoT) devices. Fog computing can be used to compute, store, control and connect smart devices to each other. IoT is an architecture of uniquely identified interrelated physical things, these physical things are able to communicate with each other and can transmit and receive information. This research presents a framework of the combination of the Internet of Things (IoT) and Fog computing. The blockchain is also the emerging technology that provides a hyper, distributed, public, authentic ledger to record the transactions. Blockchains technology is a secure technology that can be a great benefit to the next generation computing. The confluence of fog, blockchains and IoT in this area introduces a new incentive. In this research work, the author mentions the convergence of blockchain, fog and IoT technological innovations to present an effective communication framework. The framework is implemented and tested using different scenarios.

ABSTRACT HTTP is a successful Internet technology on top of which a lot of the web resides. However, limitations with its current specification have encouraged some to look for the next generation of HTTP. In SPDY, Google has come up with such a proposal that has growing community acceptance, especially after being adopted by the IETF HTTPbis-WG as the basis for HTTP/2.0. SPDY has the potential to greatly improve web experience with little deployment overhead, but we still lack an understanding of its true potential in different environments. This paper offers a comprehensive evaluation of SPDY's performance using extensive experiments. We identify the impact of network characteristics and website infrastructure on SPDY's potential page loading benefits, finding that these factors are decisive for an optimal SPDY deployment strategy. Through exploring such key aspects that affect SPDY, and accordingly HTTP/2.0, we feed into the wider debate regarding the impact of future protocols.

What are the activities of three types of hackers? It's well known to all that's hackers are three types (white hat, black hat and the gray hat hackers) but most of us don't know the activities of three types of hackers that's because of I shared an answer for your search query of the, What are the activities of three types of hackers? At below besides on who are the hackers and the three types of hackers.
Who are the hackers?
Hackers are whom, those are skilled in coding, programming and networking basically they are known as an ethical hacker and non ethical hackers,
Ethical hackers are angle cause they strengthen us, they protecting us by their computing wisdom.
Non ethical hackers just like a shadow of devil cause they are misusing their programming knowledge. Here in context I will let you know that the types of hacker in details at below steps via the "Programming Career Guideline" by web development Guideline. Types of hackers: Generally hackers are classified in three classes.
They are-
1.White Hat Hacker
2.Black Hat Hacker
3.Grey Hat Hacker
Read the most of from the original published answer at - https://www.quora.com/What-are-the-activities-of-three-types-of-hackers

Przedstawiony tekst jest napisanym przez autora rozdziałem w książce zatytułowanej "Teoretyczne podstawy informatyki". Omówione są podstawy teorii informacji oparte na pojęciu entropii, problem redundancji języków naturalnych i zasady kompresji danych ze szczególnym uwzględnieniem algorytmu JPEG.

Information technology adoption is nearly universal among all part of business including Hospitals. However, Hospitals specially in developing and under developed country like Nepal has many limitations & Challenges. Such hospital are struggling to adopt those technologies & systems, which meet regulatory, legitimacy, statutory mandates and clinician expectations too.

This paper presents a business process framework for e-learning software solutions development. Existing applicable e-business models have been studied and a suitable business model has been derived and improved to match with the product development process. The proposed framework is developed by considering three key e-business models and is applied and reviewed in an e-learning solution provider company. Further, suggestions and improvements are made to overcome the future challenges in adhering to such business modes.