Nishant Nishant, K. Jha, Alok Kumar Jangid, D. Das
{"title":"Efficient Protocol for Reliable Mobile Origination Connection In URLLC Devices","authors":"Nishant Nishant, K. Jha, Alok Kumar Jangid, D. Das","doi":"10.1109/CONECCT50063.2020.9198532","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198532","url":null,"abstract":"The Fifth-Generation (5G) cellular mobile networks are expected to support three service categories and one of them is Ultra-reliable low latency communication (URRLC). For URLLC type of services, 3GPP has strict performance requirements of low latency and high reliability. According to ITU-R M.2410-0 and 3GPP Technical Specification (TS) 38.913, error rate should be lower than 1 packet loss in 105 packets and latencies should be lower than 0.5ms uplink/downlink for URLLC. To ensure such high reliability, packet retransmissions or packet duplication may be performed which will incorporate additional delays to the communication. Hence, there are multiple open research problems for achieving very low latency along with high reliability for URLLC. To the best of our knowledge, this paper for first time solved one of the research problems, by proposing a new call flow where 5G Radio Resource Control (RRC) Release message is to be enhanced such that accessing network for Mobile Originating (MO) call/data in ultra-reliable low latency devices will achieve a reliability with lower than error rate of 1 packet loss in 105 packets along with shorter latency than existing art. Through extensive experiments and simulation, the proposed idea, reduced error rate below than 0.0001% with improved latency as success rate increased to 99.99% during initial access than existing method.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124950986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Development and Testing of ECUs in Automotive Industry with Jenkins","authors":"A. Kanchana, Chandrashekar Murthy B N","doi":"10.1109/CONECCT50063.2020.9198423","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198423","url":null,"abstract":"Mobility and cosmopolitanism are of the very essence of the Society. Therefore, vehicles are in demand and getting smarter. There are various automobile manufacturing companies known as OEM (Original Equipment Manufacturer) mainly designing and marketing cars. Tier 1 suppliers like Continental or Bosch are companies that supply essential parts or modules to OEMs. Time to Market the product becomes crucial when talking about increasing competition and its success rate. In such cases, not just the speed of final product reaching the market matters, but also the quality of the product that helps sustain in the market matters. This paper discusses the use of automation tool Jenkins in the automotive domain to speed up the production process of ECUs (Electronic Control Unit). Automated testing of the ECU helps organization to yield more functional electronic control units reducing the errors and shortening the time to market.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121588302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating Biofield Therapy Effects Using Unique Color Circle Design Implementable in Biophotonics Lab","authors":"R. S. Prasad, A. Pal, Shishir Prasad, V. Prasad","doi":"10.1109/CONECCT50063.2020.9198659","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198659","url":null,"abstract":"Human nature and behavior (NaB) is hidden in its biofield. This has been described in several texts - some on scientific experiments but mostly in religious texts. Energy healing (biotherapies) is the usual method to change the physical and mental behavior which is well recognized in Complementary and Alternative Medicine (CAM). NaB and biofield relation awaits validation on scientific platform, despite a foundation laid decades ago in scientific experiments. Considering the recent advances in biophotonics research to capture biophotons emission from human biofield, it is possible to show the effect of biotherapies (energy healing, etc.) on recipients. Existing instrumentation scheme, used in biophotonics research, with addition of more optical filters can be used in NaB studies. This is the principal objective of this paper. Using spectral analysis, ultra weak biophotons emissions, captured by sophisticated CCD-based optical cameras equipped with wavelength-specific optical filters in the entire visual range (390 – 780 nm), it is shown through simulation that a real-time implementation is possible for all biotherapies experiments. The authors hypothesize that the spectral colors of biophotons hold the key to identify the effect of biotherapies as ‘good’ and ‘bad’, noting that wavelengths representing spectral colors are related to Hue of the HSV (Hue Saturation and Value) space. A unique color circle designed (CCD) to show the relation between wavelength and Hue, is the heart of the proposed procedure to demonstrate the effect of biotherapies.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125147909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Parallel Heterogeneous Computation Library for Embedded ARM Clusters","authors":"Nikhil Khatri, Priyamvada Bagaria, Sudarshan TSB","doi":"10.1109/CONECCT50063.2020.9198336","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198336","url":null,"abstract":"In recent years several hobbyists and research institutions have turned to ARM based cluster computers to meet their high performance computing needs. These systems are typically low cost, power efficient machines made of 4 or more nodes. However, current applications running on these machines are limited to the computational capabilities of the on-board CPUs. An attempt to fully utilise the available hardware is to use the on-board GPUs for general purpose computation. The challenge with this approach is the difficulty of programming for embedded ARM GPUs, which support a very limited programming interface such as OpenGL ES 2.0. In this paper, we present a system which allows a high level program to utilise multiple embedded ARM based GPUs in parallel to perform computation, without the application developer concerning themselves with the details of OpenGL and writing shaders. We describe the vector and matrix functions which we implement and provide results detailing their speedup. For matrix multiplication, our system shows a speedup of nearly 7X on the 8 nodes of the PHINEAS cluster computer. We further describe how these functions may be composited with some CPU functionality to implement inferencing for a Convolutional Neural Network trained in Keras on a different machine. Our benchmarks demonstrate that the system’s performance scales well across several nodes for a variety of tasks. Our work brings the benefits of GPGPU computing to an as yet untouched class of cluster computers.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"68 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113975749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Improved Method to Recognize Hand-over-Face Gesture based Facial Emotion using Convolutional Neural Network","authors":"Niti Naik, M. Mehta","doi":"10.1109/CONECCT50063.2020.9198376","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198376","url":null,"abstract":"An occlusion on face is typically considered as a major obstacle in recognizing emotion through facial expression. However, the hand-over-face occlusion provides useful information to recognize emotion precisely. The existing emotion recognition methods with or without hand gesture identify basic emotions such as happy, sad, angry, surprise, neutral, fear and disgust. However, additional emotions such as confident, making decision, scared, ashamed, angry and ok sign need to be identified for modern applications. In this paper, we present an empirical evaluation of an improved Hand-over-Face Gesture based Facial Emotion Recognition Method (HFG_FERM) that identifies additional unexplored emotions along with basic emotions. The proposed method includes extensive coding schema with additional hand signs to identify unexplored emotions. Additionally, it integrates convolution neural network in its design for deep and automatic feature extraction as well as for classification of emotions. The performance of HFG_FERM is evaluated under four distinct scenarios. The experimental results show that the HFG_FERM considerably increases emotion recognition accuracy.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131152484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Antenna Design for Nanosatellite Payload Communication System","authors":"P. Akhila, S. A. Kumar, T. Shanmuganantham","doi":"10.1109/CONECCT50063.2020.9198387","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198387","url":null,"abstract":"In this paper a compact metamaterial inspired antenna with dual-circular polarization for nanosatellite payload communication is presented. This structure consists of a rectangular sandwich parasitic layer. Two feedings to develop the dual-circular polarization 2 double negative metamaterial cells, 2 related feedings are used and 1U nanosatellite structure has been used in operation of real-time environment to comprehend antenna performance.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132362653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Direction-Finding System Using Two-Element Time Modulated Array With and Without Modulation","authors":"Jaisy M.A, A. P, D. D. Krishna","doi":"10.1109/CONECCT50063.2020.9198594","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198594","url":null,"abstract":"In this paper, a Time Modulated Array (TMA) direction finding system using a two element antenna array is implemented in LabVIEW and is experimentally verified with continuous time and BPSK modulated signal as the source. The TMA involves high speed switches functioning periodically at the front end of the traditional antenna array. This makes the array output a periodic function of time and the harmonics involved has a direct relation with the incident angle of the signal. Thus a simple harmonic analysis technique can be used to find the Direction of Arrival(DoA) of the incoming signal. In this paper the system consists of a two monopole antenna array, an RF switch, Universal Software Radio Peripheral (USRP) and LabVIEW. The spectrum analysis and angle estimation is carried out in LabVIEW. The method is simple in terms of hardware and computational complexity. The simulation results give an estimate of the DoA with a maximum error of 2.230 incident angles ranging from 0 to 900. The results are verified experimentally with continuous time signal giving an estimate angle of arrival in a range 200 to 700 with a maximum error of 8.240. Further, BPSK modulated signal is used to give an estimate angle within an angle of arrival ranging from -500 to 500 with a maximum error of 70. The experiments are conducted in the laboratory environment.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127813677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study of Ambipolar Current of a Steep Slope Tunneling FET with Drain Underlap","authors":"Satya Gopal Dinda, S. Sundar Kumar Iyer","doi":"10.1109/CONECCT50063.2020.9198344","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198344","url":null,"abstract":"The tunneling field effect transistor is basically a gated p-i-n diode, is recently under rising interest due to its potential to deliver steep on-off slopes and its ability in operating at supply voltages below 0.5 V. We present simulation results of double gate pocket doped silicon n-channel Tunnel FET on the investigation of the influences of drain underlap. Ambipolar current behavior in details with gate-drain underlap is studied and it is observed that ambipolar current could be completely suppressed if 8-nm gate-drain underlap is used.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128085207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bed sore Prevention using Pneumatic controls","authors":"Priyanka Nair, Samriddhi Mathur, Rupika Bhandare, Geetha Narayanan","doi":"10.1109/CONECCT50063.2020.9198410","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198410","url":null,"abstract":"In today’s situation of aging population issues concerning elderly care needs grave attention. The pressure ulcer or decubitus ulcer is a condition caused by pressure applied to the body surface for a certain period, resulting in blood flow insufficiency. To prevent pressure ulcers, it is necessary to change the patient body position at regular interims, to prevent continuous pressure on the bed to the body surface. However, the physical burden of the caregivers is increasing to fully execute this patient-repositioning due to various reasons like the aging of the caregivers, the busy schedule of the younger generation, etc. This paper is proposing a method to lower the occurrence of pressure ulcers (bed sores) in incapacitated patients. Smart Air mattress features support zones on each side of the mattress which is independently controlled by pressure sensor support. The mattress can automatically make pressure and positional modifications to avert patient injury and pain. An FSR sensor senses the pressure data which is being processed by an AT Mega 328pu to inflate or deflate an air mattress. The airflow is controlled by a solenoid valve using an air pump.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132235357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual Machine Migration in Heterogeneous Clouds - A Practical Approach","authors":"S. Raj, Nimish Mangal, Savitha S, Sanket Salvi S","doi":"10.1109/CONECCT50063.2020.9198551","DOIUrl":"https://doi.org/10.1109/CONECCT50063.2020.9198551","url":null,"abstract":"In modern times, Cloud Computing is viewed as more promising technology than any other traditional Information Technology Computing paradigms. It basically serves as an on-demand resource provisioning platform without any active intervention by its user. The resource provisioning strategies require appropriate load distribution management across the cloud network, without which the cloud would face biased workload performance. Virtualization is the backbone of Cloud Computing, which enables the distribution and management of data by initiating the Virtual Machines (VMs). Furthermore, a Cloud Service Provider(CSP) has to monitor, analyze, and manage the workload distribution for servers when VMs are migrated. It presents the need to consider VM migration as an important activity that would unload the cloud server that is overloaded to migrate it to the server that can handle the workload. This paper proposes a technique that initiates the migration of VMs between heterogeneous cloud environments that would lead to a stable and well-balanced cloud network. The process of VM migration is very intensive in terms of resources, and hence intelligent approaches are required. It should effectively reduce the utilization of network bandwidth by minimizing the downtime of the server. However, the migration of VMs between the heterogeneous cloud would be challenging, but the right solution would benefit the cloud network managers on a large scale. Our proposed technique demonstrates heterogeneous VM migration between various cloud platforms built on different architectures. Various parameters have to be technically tuned for the conversion of VM images according to the Cloud Architecture. The performance of the proposed technique is evaluated based on the time taken for migration.","PeriodicalId":261794,"journal":{"name":"2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134224578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}