Monaural source separation is an interesting area that has received much attention in the signal processing community as it is a pre-processing step in many applications. However, many solutions have been developed to achieve clean separation based on Non-Negative Matrix Factorization (NMF). In this work, we proposed a variant of Itakura-Saito Divergence NMF based on source filter model that captures the temporal continuity of speech signal. The algorithm shows a very good separation results for mixture of two speech sources in terms of artifacts reduction. Besides that, Source to distortion ratio (SDR) and Source to Artifact Ratio (SAR) were found to be higher when compared with NMF algorithms with Kullback-Leibler and Euclidean divergences.

<span>The switch from analog to digital terrestrial broadcasting (DTTV) has resulted in a substantial shift in the contemporary television broadcasting environment, introducing a new means of transmitting content, as well as a new and upgraded process that will improve consumer satisfaction by ensuring greater reception. Despite the deadline, only a small percentage of terrestrial television stations in Nigeria have been digitalized. This work takes a critical review of various aspects of DTTV implementation, ranging from evolution to path loss estimation, prospects and challenges associated with the switch-over on the very high frequency (VHF) communication links as well as various optimization techniques that are adopted for DTTV in Nigeria and sub-Sahara Africa. Findings show that the prospects are bright and numerous benefits are accruable if the government of Nigeria can solve the problems facing its full migration. Furthermore, investigations into the path-loss of DTTV in the ultra-high frequency (UHF) communication links have enjoyed scanty attention, therefore, careful examination and suitable path-loss model development in this frequency regime for TV services across various ecological and vegetation zones should be considered as it will aid the full deployment of DTTV in Nigeria.</span>

While a hearing-impaired individual depends on sign language and gestures, non-hearing-impaired person uses verbal language. Thus, there is need for means of arbitration to forestall situation when a non-hearing-impaired individual who does not understand the sign language wants to communicate with a hearing-impaired person. This paper is concerned with the development of a PC-based sign language translator to facilitate effective communication between hearing-impaired and non-hearing-impaired persons. Database of hand gestures in American sign language (ASL) is created using Python scripts. TensorFlow (TF) is used in the creation of a pipeline configuration model for machine learning of annotated images of gestures in the database with the real time gestures. The implementation is done in Python software environment and it runs on a PC equipped with a web camera to capture real time gestures for comparison and interpretations. The developed sign language translator is able to translate ASL/gestures to written texts along with corresponding audio renderings at an average duration of about one second. In addition, the translator is able to match real time gestures with the equivalent gesture images stored in the database even at 44% similarity.

Storage of water is common to all human for domestic and industrial utilization. Today, water tanks are the conventional and a major component in water storage systems as they have the capacity to hold large volume of water over a long period of time. They come in different shapes and sizes. However inadequate monitoring of water level in this storage facility may lead to either shortage of water supply when needed or its wastage during lifting process. Hence, there is need for proper monitoring of water level in a storage facility. This need motivates this work, which is the development of water level monitoring system that based on sonar technology. Materials employed in the development include ultrasonic sensor module, ATmega-328P microcontroller, 16MHz crystal oscillator, 12V dc water pump among others. The developed system monitors the water level and activates the pump as appropriate based on the input the ultrasonic sensor gives to the microcontroller which occupies the centre of the system. The developed system has potential of mitigating the attendant problems that usually arise from wastage or shortage of water supply with respect to water storage facility. Keywords—SONAR, water storage, monitoring system

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