Intelligent home automation has become more popular over the decade. Integration of automation in a home security, enhances its self-dependability. An intelligent home, integrated with various smart system modules can provide convenient and safe environment for the inhabitants and home appliances which can be easily controlled and monitored even from a remote distance. In this paper an intelligent home automation and environmental solution is proposed along with the architecture of integrated sensor modules. This proposed system is embedded with electronic lock driven with password verification and biometric finger print scanner. This sensing tools ensure the system to prevent unauthorized access.  It is comprised with video recording of unauthorized person or intruder moving around the home or office premises. Moreover, PIR motion sensor, IR sensors would also work as safeguard by helping to capture image and Skype video calling from the inside of home or office. User will also be able to monitor the present condition of the home or office by using Facebook post of image and message status. The implemented system as a prototype for the justification and attestation of the proposals has been tested successfully. The observed data ensures that the system is working efficiently.

A problem that often arises is that many places to eat are available, making everyone confused to choose a place to eat and takes a long time to decide on where to eat. Because it requires a system and methods that can be applied to recommend places to eat. Application recommendations for places to eat in this final assignment were made to help everyone in finding a place to eat with the same menu choices. The method used is the Graph Tinting Method, with the application development method used is Waterfall consisting of data analysis, technology analysis, system analysis, information analysis, and user analysis. The results of this study are the making of a restaurant determination application that can recommend places to eat with the same menu. Users can enter menus according to their wishes, then the application will recommend places to eat using a simple line coloring algorithm at the point. After processing, the application will be able to display the results of recommendations for restaurants with the same menu.

In Endodontics, dentists need a good visualization of dental root canals as found in Cone Beam Computed Tomography (CBCT) dental volumes to diagnose and prevent the development of some anomalies. These CBCT dental volumes, however, suffer from low resolution. In order, to enhance their resolution, we need to apply a super-resolution technique. In this paper, we propose a new 3D super resolution algorithm based on a linear model, consisting of a blurring operator and a decimation operator, which is an extension of Zhao’s work [1] in 3D, taking the low-resolution volume as an input and producing the high-resolution volume as an output. We present a generalization of the 2D Super-Resolution problem into a 3D Super- Resolution problem as we apply it to 3D dental volume. Our new Super-Resolution algorithm as applied to dental CBCT volumes is a direct method aiming to get the exact solution with a short computation time. Results show an improvement in the resolution of the CBCT in a short time in comparison with Zhao’s work, which was applied to CBCT dental volumes slice by slice, [2].

Nowadays, the use of Rehabilitation Robots for stroke patients has been growing rapidly. However, there was a limited scope of using such Rehabilitation Robots for patients suffer from an accidental physical fracture. Since the pain condition of such accidents needs a critical treatment, precise control of such robotic manipulators is mandatory. This paper presents the design and control of the Elbow-Forearm Rehabilitation Robot by considering the pain level of the patient. This design consists of the mechatronic design processes including mechanical design, controller design, and Virtual prototyping using ADAMS-MATLAB Co-simulation. The pain level is estimated using three parameters i.e the patient general condition, the muscle strain, and the duration of exercise from the beginning of rehabilitation. Based on these three input parameters, the manipulator's desired range of motion has been determined using the Fuzzy Logic System. The output of this fuzzy logic system would be an input to the main control system. ADAMS-MATLAB Co-simulation is carried out based on three reference inputs i.e Step, sinusoidal and the proposed fuzzy reference input. Using step input, we have discussed the step response characteristics of the developed system. The Co-simulation of the ADAMS dynamic model is realized with a 30 degree oscillating motion by providing a sinusoidal input. Finally, using the developed fuzzy reference input, we have done a Co-simulation of ADAMS plant. The simulation result demonstrates that the proposed PID controller with gains Kp=0.001 and Ki=0.01 yields 99.6% of accuracy in the tracking of the reference input as compared to the simulation without introducing controller which has an accuracy of 94.9%. The simulation also shows that derivative gain (Kd) of the PID controller has no effect on the system so that it is over damping system. From the above three simulation schemes, we can conclude that the Elbow-Forearm rehabilitation robot could be controlled as per the desired signal. Since this desired signal is developed from the pain level of the patient, we can say that the system is controlled as per the pain level of the patient.

In this paper, the Series-Parallel (SP) and Total-Cross-Tied (T-C-T) type of conventional solar photovoltaic (SPV) array configurations or topologies are considered for modeling and comparative analysis and the parameters mainly maximum power of array, shading losses, number of interconnections or ties between array SPV modules are compared with the proposed optimal configuration under six partial shading scenarios and one un shaded case. The proposed optimal topology, optimize the number of ties required among PV modules and improves the output power of SPV array as compare to TCT configuration and also minimizes the shading power losses. These optimal interconnections are based on the location of number of shaded modules in the SPV Array. For this study, the Vikram Solar ELDORA 270 PV modules are used for modeling and simulation of SP, TCT and proposed optimal topologies in MATLAB/ Simulink software.