This document identifies and describes the key external and internal components of a computer system. The external components included are the keyboard, mouse, printer, speakers, and display. The internal components included are the motherboard, microprocessor, BIOS, cooler, RAM, bus, power supply, memory bank, network card, sound card, hard drive, and optical drives. It provides a brief 1-2 sentence description of the purpose and function of each component.
it's a powerpoint presentation of the 25th batch of the Dept. of Information Science and Library Management of the University of Dhaka.
hope,it will be helpful to the younger
it's a powerpoint presentation of the 25th batch of the Dept. of Information Science and Library Management of the University of Dhaka.
hope,it will be helpful to the younger
Design patterns are acknowledged as powerful conceptual tools to improve design quality and to reduce the time and cost of design
by effect of the reuse of “good” solutions. In many fields such as software engineering, web engineering, and interface design,
patterns are widely used by practitioners and are also investigated from a research perspective. Still, the concept of design pattern
has received marginal attention in the arena of user interfaces (UIs) for Recommender Systems (RSs). To our knowledge, a little
is known about the use of patterns in this specific class of applications, in spite of their increasing popularity, and no RS
specific interface pattern is available in existing pattern languages. We have performed a systematic analysis of 28 real-world RSs in
a variety of sectors, in order to: (i) discover occurrences of existing general (i.e., domain independent) UI patterns; (ii)
identify recurrent UI design solutions for RS specific features; (iii) elicit a set of new UI patterns for RS interfaces. The analysis
of patterns occurrences highlights the degree at which “good” UI design solutions are adopted in RSs for the different sectors. The
new patterns can be used by UI designers of RSs to improve the UX of their systems.
User Personality and the New User Problem in a Context-Aware Point of Interes...University of Bergen
The new user problem is an important and challenging issue that Context-Aware Recommender Systems (CARSs) must deal with, especially in the early stage of their deployment. It occurs when a new user is added to the system and there is not enough information about the user’s preferences in order to compute appropriate recommendations. It is common to address this problem in the recommendation algorithm, by using demographic attributes such as age, gender, and occupation, which are easy to collect and are reasonably good predictors of the user preferences. However, as we show here, user’s personality provides even better information for generating context-aware recommendations for places of interest (POI), and it is still easy to assess with a simple questionnaire. In our study, using a rating data set collected by a mobile app called STS (South Tyrol Suggests), we have found that by considering the user personality the system can better rank the recommendations for the new users.
Empirical Evaluation of Active Learning in Recommender SystemsUniversity of Bergen
The accuracy of collaborative-filtering recommender systems largely depends on three factors: the quality of the rating prediction algorithm, and the quantity and quality of available ratings. While research in the field of recommender systems often concentrates on improving prediction algorithms, even the best algorithms will fail if they are fed poor quality data during training. Active learning aims to remedy this problem by focusing on obtaining better quality data that more aptly reflects a user’s preferences. In attempt to do that, an active learning strategy selects the best items to be presented to the user in order to acquire her ratings and hence improve the output of the RS.
In this seminar, I present a set of active learning strategies with different characteristics and the evaluation results with respect to several evaluation measures (i.e., MAE, NDCG, Precision, Coverage, Recommendation Quality, and, Quantity of the acquired ratings and contextual conditions).
The traditional evaluation of active learning strategies has two major flaws: (1) Performance has been evaluated for each user independently (ignoring system-wide improvements) (2) Active learning strategies have been evaluated in isolation from unsolicited user ratings (natural acquisition). Addressing these flaws, I present that an elicited rating has effects across the system, so a typical user-centric evaluation which ignores any changes of rating prediction of other users also ignores these cumulative effects, which may be more influential on the performance of the system as a whole (system-centric). Hence, I present a novel offline evaluation methodology and use it to evaluate some novel and state of the art rating elicitation strategies.
While the first set of experiments was done offline, the true value of active learning must be evaluated in an online setting. Hence, in the second part of the seminar, I present a novel active learning approach that exploits some additional information of the user (i.e. the user’s personality) to deal with the cold start problem in an up-and-running mobile context-aware RS called STS, that provides users with recommendations for places of interest (POIs). The results of live user studies, have shown that the proposed AL approach significantly increases the quantity of the ratings and contextual conditions acquired from the user as well as the recommendation accuracy.
Active Learning in Collaborative Filtering Recommender Systems : a SurveyUniversity of Bergen
In collaborative filtering recommender systems user’s preferences are expressed as ratings for items, and each additional rating extends the knowledge of the system and affects the system’s recommendation accuracy. In general, the more ratings are elicited from the users, the more effective the recommendations are. However, the usefulness of each rating may vary significantly, i.e., different ratings may bring a different amount and type of information about the user’s tastes. Hence, specific techniques, which are defined as “active learning strategies”, can be used to selectively choose the items to be presented to the user for rating. In fact, an active learning strategy identifies and adopts criteria for obtaining data that better reflects users’ preferences and enables to generate better recommendations.
Toward Building a Content based Video Recommendation System Based on Low-leve...University of Bergen
In this presentation, I briefly discuss the use of automatically extracted visual features of videos in the context of recommender systems that brings some novel contributions in the domain of video recommendations. The proposed content-based recommender system encompasses a technique to automatically analyze video contents and to extract a set of representative stylistic features (lighting, color, and motion) grounded on existing approaches of Applied Media Theory.
Proposed recommender can be used in combination with more traditional content-based recommendation techniques that exploit explicit content features associated to video files, in order to improve the accuracy of recommendations. Proposed recommender can also be used alone, to address the problem originated from video files that have no meta-data, a typical situation of popular movie-sharing websites (e.g., YouTube) where every day hundred millions of hours of videos are uploaded by users and may contain no associated information. As they lack explicit content, these items cannot be considered for recommendation purposes by conventional content-based techniques even when they could be relevant for the user.
In this slide you may know what is the meaning of the computer, the four functions of a computer, the types of a computer and the major components of a computer
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
1. IDENTIFICACION DE COMPONENTES EXTERNOS E INTERNOS
PRESENTADO POR: HEIDY YULIANA CASTAÑO FRANCO
PRESENTADO PARA: ANDRES MAURICIO CLAVIJO
INSTITUCION EDUCATIVA ACADEMICO
INGLES
10-3
CARTAGO
2. 2016
EXTERNAL COMPONENTS
KEYBOARD: a keyboard is an input device or peripheral, partly inspired keyboard
typewriters, which uses an arrangement of buttons or keys, to act as mechanical
levers or electronic switches that send information to the computer.
MOUSE: It is a pointing device used to facilitate handling of a graphical
environment on a computer. It is usually made of plastic, and is used with one
hand. Detects relative movement in two dimensions by the flat surface on which it
rests, usually reflected by a pointer, or cursor arrow on the monitor.
PRINTER: A printer is a computer peripheral device that enables a continuous
range of text or graphics of documents stored in electronic form, printing it on
physical media, usually paper, using ink or laser technology
3. SPEAKER: The speaker is a device used to play audio from an electronic device is
also called loud speaker horn, etc. The speakers convert electrical energy into
mechanical waves and this becomes acoustic energy
DISPLAY: The monitor is an output device, using an interface that shows the
results of a computer prosedimiento. displays the content that is running and the
actions taken
4. INTERNAL COMPONENTS
MOTHERBOARD: The motherboard, also known as a motherboard or
motherboard is a printed circuit board to which the components constituting the
computer or computer are connected. It is a fundamental part when building a PC
desktop or laptop
MICROPROCESSOR: is the center integrated complex circuitry of a computer
system; by way of illustration, it is often called by analogy the "brain" of a
computer. It is responsible for implementing programs from the operating system to
user applications; scheduled runs only in low level language instructions, doing
simple things such as add, subtract, multiply, divide, binary logic and memory
accesses arithmetic and logical operations.
5. BIOS: The BIOS is responsible for allowing the operating system boot. For this,
analyzes the hardware (for example, checks if the keyboard is connected and
Sends an error message otherwise), check memory, among others. This phase is
known as POST (Power-On Self-Test).
COOLER: It is a fan that is used in the cabinets of computers and other electronic
devices to cool them, usually taking the air are heated from the inside of the device
with the colors.
6. RAM: It is used as working memory computer for the operating system, programs
and most of the software. In all instructions RAM running the central processing
unit (CPU) and other computer units are loaded.
BUS: For computers, the bus is a series of cables that work loading data in
memory to transport them to the Central Processing Unit or CPU. In other words, a
data bus is a highway or transmission channel information inside the computer that
connects the components of the system with the microprocessor.
POWER SUPPLY: It is referring to the system that provides the necessary
electricity to power equipment such as computers or computers. Generally in
desktop PCs, the aforementioned source of power is located at the rear of the
cabinet and is complemented by a fan that prevents the device from overheating.
7. MEMORY BANK: formed by one or more "chips" forming the RAM, this is one of
the two parts of the main memory. Today's PCs contain a number of sockets where
called SIMM (Single Inline Memory Module) modules these in turn formed by
several "chips" are inserted; this modular construction allows adding more
modules, and therefore more memory when needed in a simple way; that if,
respecting placement rules regarding their number and size.
NETWORK CARD: A network card (also called network card or Network Interface
Card (NIC)) is a kind of card intended to be introduced into the motherboard of a
computer or connected to one of its ports to enable the machine to join a network
and can share resources (such as documents, Internet connection or a printer, for
example).
8. SOUND CARD: Among the various hardware devices that are within a team, we
highlight the presence of the Sound Card, also known as Sound Board, being not
essential for itself, but considered as part of the expansion slots on a team
designed, as its name is indicating, to the output or input sounds, or any other
information in sound form that is present on the computer.
HARD DRIVE: is a storage device nonvolatile data (because the stored contents
are not lost even is not powered) and employing a magnetic recording system for
storing digital data.
OPTICAL DRIVES: Optical drives store information by means of microscopic
protuberances engraved on its surface and are read by a light beam or laser which
is reflected on the disk surface and a sensor determines whether a zero value or
recorded .