شبہ بچھڑنے کا ہونے نہیں دیا اُس نے
نہیں ہے خواب کوئی بھی تھکن سے لپٹا ہوا
وہ ایک زخم مرے شوق کی نشانی تھا
نہیں یہ کم تو نہیں ہے کہ مدتوں مجھ کو
یہ میرے اشک بجھا دیں گے آگ اندر کی
ستم کِیا ہے کہ رونے نہیں دیا اُس نے
میں کہہ رہا ہوں کہ سونے نہیں دیا اُس نے
وہ ایک زخم جو دھونے نہیں دیا اُس نے
ہجومِ وقت میں کھونے نہیں دیا اُس نے
اُسے پتہ تھا جو رونے نہیں دیا اُس نے
An FM Broadcast Trainer was developed to expose the students to the basic equipment needed in radio broadcasting. The cost of Portable FM Broadcast Trainer is much lower than the cost of the traditional commercial equipment because of the materials used. The FM Broadcast Trainer is laboratory equipment that can be used by schools offering academic programs in Industrial Courses specifically Electronics Communication courses. At present there is no portable FM broadcast station available in the local market. Some schools are reluctant to by new FM station equipment since these are quite costly. To resolve this problem, the researchers deemed it necessary to design and develop a portable FM Broadcast Trainer that is simple and affordable to fulfil the basic curricular requirements for offering courses in Electronics Communication Technicians. This is a requirement for our graduates to qualify to take the Radio Telephone Operator examination given by the National Telecommunication Commission the telecommunication body in the Philippines counterpart of Federal Communication Commission in the US. Aside from this, the station will be a venue for Mass Communications students and a vehicle for channelling important announcement from the School.
Natural Language Interfaces to Databases (NLIDB) is an area of research that deals with the representation of users request to database in their native language. Currently, data warehouses are widely used by enterprises for decision making. It is important to mention that characteristics of decision-making systems are inherently different from transactional systems. The users of decision-making systems are top management (executives) who are normally non-technical having less knowledge of the data warehouse schema and about writing database technical queries. In fact, ad-hoc query is the information need of user that may not be fulfilled with front-end tools having predefined capabilities e.g. Reporting, OLAP or Data mining tools etc. Such information needs are not easy to express in technical query language. This motivated us to propose a Natural Language Based Retrieval System for Data Warehouse (NLRSDW) to support users especially in the ad-hoc query development.A Logical Schema-based Mapping (LSM) technique has been developed. Using this technique, targeted search is performed efficiently in the data instances. For targeted search, a LSM oriented mechanism has been presented. In addition, 3 searching strategies are elaborated which include 1) Identified elements searching 2) Proximal elements searching and 3) Level-wise searching to retrieve the matching instances for each data value. The retrieved instances are ranked with 5 criterions based on which an algorithm has been developed. Furthermore, solution to identify the aggregation constructs (i.e. aggregation function, measure, level and grouping attributes) accurately has been presented. Data Warehouses maintain aggregated computations to efficiently answer queries on large volume of data. It is very challenging task to interpret accurate aggregation constructs from the keyword-based query written on the Natural Language Interface to Data Warehouse. Later, a semi-automatic approach to build the Data Warehouse logical Schema-based Domain Thesaurus is proposed.This approach takes the Data Warehouse logical Schema as input and generates Domain Thesaurus using multiple sources containing Schema, Data Instances, WordNet, WWW and Domain Repository. The Thesaurus evolution approach is also presented which shows how Thesaurus can be technically expanded at user query time.An in-depth experimental evaluation has been carried out in comparison to existing systems. The results are encouraging. Using NLRSDW, non-technical users can easily write any ad-hoc information need in natural language. As a result, executives do not have to take support of IT staff and time to develop query is negligible.