SMS Link-Interactive
SMS.Link-INTERACTIVE is a system that facilitates the exchange\r of information between a central computer server and a remote cellular\r phone user, and allows remote modification of data in the computer\r through SMS. A cellular phone with a GSM modem is connected to the\r computer physically via a data cable. A program in the computer is\r notified whenever the cellular phone receives new messages, processes\r new messages by first authenticating the user’s identity, then checks for\r the information being asked for, as well as the changes that the user wants\r to be done. Information is then retrieved from a database in the computer\r and the appropriate changes are made. A message containing the\r requested information and a list of changes done is then sent to the user\r through SMS.\r Tests were made to get the speed of the system. Accuracy tests were\r done to determine if the program was able to ascertain the validity of the\r user correctly, return the requested data, and change the specified\r information.\r Using this system, doctors can access a patient’s data and change\r prescriptions; teachers can correct errors in grades; clubhouse personnel\r can add memberships; all these from a remote location by sending a SMS\r request to the cellular phone connected to the server.
On Course Line Management
The Online Course Management system was developed in 2012 by George Moon to address the issue of creating course books at Burnside High School in Christchurch, New Zealand. The course books are designed to inform students, staff and parents of the many courses that are available for students to choose for their next year of study. In the past, the system that the school used consisted of large amounts of paperwork and duplication. Not only did this system require a lot of effort from staff, but the course book cost the school thousands of dollars to produce, as it had to be sent off to be published into a large book that would be read by students for a week, then likely thrown out. This year the school decided to digitise the course book, so that students would look at their courses online. Earlier this year, the school believed that the new School Management System (SMS) ‘KAMAR’ would be able to handle all of the necessary information, however this was not the case. Because of this, they needed a simple solution that would collate all of the course data, and then output it as a course book. I developed my project to do this. It is a web based program that is accessible by staff on their computers which enables them to enter in all of the course and assessment data for their departments. As it is all securely stored on a central database, it reduces duplication and staff workload, as well as the added environmental bonus of less paper being used. The program also outputs data in a number of ways including as a coursebook PDF (digital document which can be uploaded or printed), an Excel spreadsheet and a webpage for easy viewing. It can be sorted or printed by different categories (such as level, faculty, department), which proved to be a very useful feature. Following some research on areas such as design principles, browser compatibility and screen resolution (computer screen size), the program was designed to make best use of this this information. For example, most of the computers that staff would access the website on were of a similar size screen, so I made sure that my website worked well for them. I also used my research on design principles to try and create a simple, clean interface that users with limited computer skills would easily be able to navigate around. The outcome was real, as it was used by the school to generate their coursebook this year. Following a 95% student completion rate of course selection many months earlier than previous years, the system (although it had some issues) was pronounced a success, and the school is looking to use it in the years to come. There are a number of steps I am looking to take in the future with this program including the potential sale to other schools, so they can take advantage of the features it has to offer.
彩色數位影像資料庫檢索架構-以國立自然科學博物館為例
國立自然科學博物館推出《數位博物館》,內含大量生物圖鑑及豐富館藏文物之圖文資 料,無論用於資料查詢或提供進階研究資料皆有極大貢獻。但經使用後發現,其檢索架構仍 只提供關鍵字搜尋及分類瀏覽,無法精確檢索出欲查詢之資料,尚有改進之處。 於是針對現有之影像檢索系統,我們跳脫出傳統以文字為檢索之依據,而設計出一連串 之改進方案,如下: 1. IRHI 色調辨識影像檢索,針對色調相近之影像類群提供良好檢索架構。 2. IRCI 輪廓辨識影像檢索,針對輪廓相近之影像類群提供良好檢索架構。 3. IRHCI 色調暨輪廓辨識影像檢索,綜合前述兩種方法之優點所設計。 A while ago, the National Museum of Natural Science put forth the “Digital Museum,” which contains great amount of biological pictographs and abundant collections of textual as well as pictorial materials. This has contributed tremendously to information search and advanced research. However, after employing them, we come to discover that its retrieval paradigm only provides key-word search and categorization browse, without enabling us to precisely pick out the desired data. Thus, this paradigm leaves something to be desired. To make up for the insufficiency of the existing system, we have escaped from the concept of searching by texts. Instead, we have designed a series of improvements. They are as follows: 1. IRHI(Image Retrieval by Hue Identification): Providing a sound paradigm for the image groups composed of similar hues. 2. IRCI(Image Retrieval by Contour Identification): Providing a sound paradigm for image groups composed for similar contours. 3. IRHCI(Image Retrieval by Hue and Contour Identification): Combining the strengths of the above two paradigms.
火災逃生指引系統
在台灣公共場合快速成長下,例如:大賣場、百貨公司、展覽會場,這些公共大型場合都有很好的消防設施,但始終有人葬身於火場? 原因就是幾乎所有的人都不會去特別注意逃生平面圖,導致花太多的時間尋找出口,這樣生存機率就大大降低。火場裡面有太多的致命因素,像是:高溫的空氣,毒氣、濃煙…等,所以必須把握每一分每一秒。為了加快逃生速度,我們將所有的通道都設有導引警示器,逃生者只要順著導引警示器就可以安全到達出口。為了因應公共場合有龐大的人群,所以逃生路線不能只有一條,因此我們設計上是有多條路線,一、可以解決龐大人群,二、可以加快速度。;With the rapid growth of public places in Taiwan, evacuation system is of more and more importance. Actually, public places, such as hyper malls, department stores and exhibitions, are not without fire-fighting equipment, but why is that there are still people getting killed in a fire? The reason is that almost no one actually pays attention to the evacuation plans. As a result, it often takes too much time to find the exits, which lowers the possibility of survival. In a fire, there are usually too many fatal factors, which could lead to death, such as high temperature and heavy smoke; therefore time is precious when escaping from a fire. To fasten the speed of evacuation, we set guiding alarms in every passageway. By following the guiding alarms, people can get to the exits safely. Besides, owing to the huge amount of population in public places, there can’t be only one route out. With regard to this, we design many routes in order to enable and fasten the speed of evacuation of huge amount of population.
Technology of web site advancement
Internet by its content represents a fountain of information, while from the point of view of its arrangement it is a huge dump. There are an enormous number of web sites. Multiple web sites are commercially directed, i.e. are aimed at profit earning. As profit depends on the number of visits to web site, no visitors means no profit. So, to obtain more orders, web site producers should first of all ensure good inflow of visitors (web site attendance). Every year this task becomes more and more critical for commercial web site owners (and not only for them), as the number of similar content web sites increases steadily along with competition intensifying correspondingly. The process of establishing conditions to attract more visitors is called web site advancement. The present paper discusses various ways of how to increase the number of web site visitors, it also describes the particular process of "Theater to Children" (www.teatrbaby.ru) web site advancement. Based on the paper outcomes a CD multimedia manual "Technology of web site advancement" has been developed that will help web site producers to achieve good attendance for their network resources. As the purpose of web site advancement is visitor number increase then the main criterion of web site advancement efficiency should be the number of visitors for a certain time period, e.g. for 24 hours, a week or a month. Taking into consideration that about 80% of Internet users retrieve information through search systems, the major growth of visitors will occur owing to the enhancement of web site visibility in search systems.
Automatically Categorizing Commercial Segments Using Multiple Computer Vision Techniques
The purpose of Computer Vision is to understand the methods by which humans\r process visual information and likewise to create computer algorithms similar to these\r processes. Through careful observation, a computer algorithm was developed to mimic\r how humans recognize logos in television commercials. After visual analysis of\r numerous commercial sequences, it was hypothesized that the key frames (frames in\r which the logo resides) could be found using the intersection of color histograms; the\r logo region could be found using the edge density within the key frames; and the logo\r could be identified utilizing a correlation method with a database of stored logos, scaled\r to different levels using Bilinear Interpolation.\r Color histograms were implemented using one-dimensional arrays with 24 bins;\r key frames were determined by calculating the intersection between consecutive frames’\r color histograms. The edge density was calculated by convolving the key frame with\r the number of edge pixels within a 21X21 area. The identification of the logo was\r determined by computing the Sum of Square Differences between the logo region and\r the database of logos on different scales; SSD values were normalized for different\r scales.\r The algorithm was tested on 14 different sequences and determined the key frame\r with 80% accuracy. By segmenting the sequence into two key frames, the algorithm\r generated 93% accuracy. The algorithm also identified the logo region with 93%\r accuracy. The identification of the logo yielded anomalous results. These data suggest\r that motion between consecutive frames in commercial segments decreases around the\r display of the logo. They also suggest that the logo region has the most visible edges\r within the key frame.\r Future study includes a complete overhaul of the logo recognition algorithm. The\r correlation algorithm (SSD) does not work accurately enough to be used. Therefore, the\r next step is possibly to look at the edge information about the key frames. As the Canny\r algorithm determines the edges of an image, it has to determine the direction (or\r orientation) of the edges. Therefore, a proposed study includes utilizing an edge\r orientation histogram of the database of the logos and the key frames. This would mean\r that the algorithm would identify the logo in the key frames by matching edge\r orientation histograms.