No abstract

16 cases of hemoglobin E-thalassemia are reported. The interaction of thalassemia with Hb E produced a varying severity of E-thalassemia. 10 cases had a thalassemia intermedia type of clinical picture while 6 had a more severe disorder requiring regular transfusions from early childhood. 14 patients were producing Hb-A and therefore had beta⁺ type thalassemia whereas 1 case had no Hb-A because of beta° type thalassemia. This is in contrast to a much higher frequency of beta° thalassemia in cases reported from South-East Asia. Family studies in 1 patient revealed the interaction with delta-beta thalassemia, a situation which is rare. Mating of an Hb E-thalassemia subject with heteroyzgous beta thalassemia resulted in an offspring with severe homozygous thalassemia.

The numbers of road accidents are increasing worldwide day by day and most of them are due to human errors including rash driving, carelessness and mishandling. Also the traffic is a big problem in the world. This problem can only be handled by driver less car. The motive is to develop a robo-car that drives without a driver on lanes. It should follow the lane lines on particular track and turn according to the lane. It should contain feature to turn left and right and must take U-turn after detecting end of lane. This can be done by constructing a set of hardware that enables image processing. Algorithms are applied on the fly i.e. image processing is done on real time data. The pollution caused by traffic is enormous and environment is affected adversely. The pollutants release by cars is very minute. The traffic and pollution affect us badly and waste our time and it is very inconvenient. Thus we need an cheap and convenient alternative in order to decrease this risk.

The Internet of Things (IoT) is the infrastructure that enables the process of collecting data using various devices which in turn communicate with each other and store this data over the cloud. This helps to retrieve, analyze, and communicate data to any part of the world faster with great efficiency. IoT has indeed opened the doors to endless new possibilities in different areas and industries. From smart home appliances to remotely observing and controlling different objects to self-driven cars and whatnot. The healthcare industry has still not leveraged the true power of this modern IoT revolution. Specifically, when it comes to monitoring the health of elderly people, the techniques used today are still not robust and lack conviction. This has been an area of concern for a long time, and it is an even bigger challenge to remotely monitor the health condition. In this paper, our goal is to depict the current situation of the technology of the health monitoring projects based on IoT and propose an improvement in the actual practices currently prevalent in remote monitoring of the health of elderly people. We will also try to forecast the trend of various health parameters demonstrated in the paper beforehand to make the concerned people aware with precision if any alarming situation is spotted so that instant action can be taken, thus ensuring a reduction of casualties.