Institute for Infocomm Research

Singapore, Singapore

Institute for Infocomm Research

Singapore, Singapore
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SINGAPORE, May 26, 2017 /PRNewswire/ -- In addition, JobTechTM identifies 10 emerging domain knowledge areas and 22 emerging technical skills sought by Singapore's Electronics & Semiconductor sector. JobTechTM's job monitoring technology recorded an increase of more than 600 unique online job postings in the Singapore Electronics & Semiconductor sector in 1Q 2017; over the 2,000 unique Electronics & Semiconductor sector online job postings captured in 4Q 2016. This represents a 30% increase in online job postings when 1Q 2017 is compared with 4Q 2016. In addition, JobTech also noted the emergence of 10 additional domain knowledge areas and 22 additional technical skills that showed up in the 1Q 2017 job scan. Some of the emerging domain knowledge areas sought by employers included: Vulnerability Management, Software Validation, Mix-Signal, Clean Technology, SOAP (Simple Object Access Protocols) and more. For the emerging technical skills sought-after by employers, the list included: Adobe Designer Software, BPM (Business Process Management), Powershell, Logic Analyzers, Training Needs Analysis and more. In addition, JobTechTM has identified the most sought-after skills by employers in the Electronics & Semiconductor sector in Singapore. TOP SKILLS SOUGHT BY ALL ONLINE JOB POSTINGS IN THE SINGAPORE ELECTRONICS & SEMICONDUCTOR SECTOR IN 1Q 2017 Across the entire Electronics & Semiconductor sector, common skills and attributes sought by employers include: proficiency in Microsoft Office, Sales, Mechanical Analysis, Communication Skills, Interpersonal Skills, being a Team Player, Understanding of Engineering and Manufacturing knowledge. JobTechTM will continue to provide flash reports covering key sectors in the Singapore economy, with a focus on highly sought-after skills and labor market trends. In this regard, JobTechTM is using its Big Data Analytics and Artificial Intelligence capabilities to provide visibility and analysis of the online jobs market in Singapore to support companies and decision makers there. For more information on the full version of JobTechTM Analytics Reports (Quarterly Sector Reports), please visit http://analytics.jobtech.sg/ for more information. For further information, please contact: Ms. Charlotte Lim JobTechTM Co-founder Tel: +65 6908-7642 Email: charlotte@jobtech.sg About JobTechTM      JobTechTM is Singapore's leading Artificial Intelligence and Big Data Analytics technology startup that provides real-time labour market intelligence and optimized job matching tools. Our core technology took 10 years to build by top researchers at the Institute for Infocomm Research (I2R), a part of the Agency for Science, Technology and Research's(A*STAR). We apply the technology platform to provide complete and accurate visibility of online jobs market around the world. In Singapore, our technology tracks and analyses more than 90% of online job advertisements. Our customers include the Singapore government, career coaches and consultancy firms. Our strong technology foundation allows us to be obsessed with powering the jobs economy. This means building products and solutions that reduce frictions in the job market and drive human resource productivity.


- In addition, JobTechTM provides analysis of the top skills sought by Singapore's ICT sector. SINGAPORE, May 15, 2017 /PRNewswire/ -- JobTechTM's (www.jobtech.sg) job monitoring technology recorded an increase of more than 700 unique[1] online job postings in the Singapore ICT sector in 1Q 2017; over the 2,600 unique online ICT sector jobs captured in 4Q 2016. This represents a more than 27% increase in online job postings when 1Q 2017 is compared with 4Q 2016. Looking at the average number of unique online job postings per month, 1Q 2017 recorded slightly over 1,100 online job postings per month while 4Q 2016 recorded slightly over 850 online job postings per month, on average. While there is a possible seasonal effect due to hiring patterns in the beginning of the calendar year over the end of the calendar year; generally a positive uplift is observed in the number of online job postings from January to March 2017 for the ICT sector, with March recording the highest number of online job postings in the first quarter of 2017. In addition, JobTechTM has identified the most sought-after skills by employers in the ICT sector in Singapore. Refer to Annex I for details of skill mentions in the job descriptions. TOP SKILLS SOUGHT BY ONLINE JOB POSTINGS IN THE SINGAPORE ICT SECTOR IN 1Q 2017 In general, across the entire ICT sector, we see at least 30% of the online job postings seeking candidates with skills in: General Computer Skills, Communication skills, understanding of IT and Business, Science and Technology, and Software products. In addition, JobTechTM also noted the emergence of 19 additional domain knowledge areas and 25 additional technical skills that showed up in the 1Q 2017 listing. Some of the emerging domain knowledge areas sought-after by employers included: Mechanical Engineering, Regulatory Compliance, ESB (Enterprise Service Bus Architecture), Mitigation Plan, and RFIC (Radio Frequency Integrated Circuit). For technology & engineering jobs in the ICT sector, emerging technical skills included: GULP, Unity 3D, Citrix XENAPP, and Apache Struts. Refer to Annex II for the top skills sought by technology & engineering jobs in the ICT sector. JobTechTM will continue to provide flash reports covering different sectors in Singapore, with a focus on highly sought after skills and labor market trends. In this regard, JobTechTM is using its Big Data Analytics and Artificial Intelligence capabilities to provide visibility and analysis of the online jobs market in Singapore to support companies and decision makers there. For more information on the full version of JobTechTM Analytics Reports (Quarterly Sector Reports), please visit http://analytics.jobtech.sg/ . For further information, please contact: Ms. Charlotte Lim JobTechTM Co-founder Tel: +65-6908-7642 Email: charlotte@jobtech.sg About JobTechTM          JobTechTM, a 9-person start-up, is Singapore's leading Artificial Intelligence and Big Data Analytics technology company that provides real-time labour market intelligence and efficient job matching. Our core technology took 10 years to build by the Business Analytics Group within the Agency for Science, Technology and Research's (A*STAR) Institute for Infocomm Research (I2R). We apply the technology platform to provide complete and accurate visibility of online jobs market around the world. In Singapore, our technology tracks and analyses more than 90% of online job advertisements. Our customers include the Singapore government, career coaches and HR consultancy firms. Our strong technology foundation allows us to be obsessed with powering the jobs economy. This means building products and solutions that reduce frictions in the job market and drive human resource productivity. TOP SKILLS SOUGHT BY ONLINE JOB POSTINGS IN THE SINGAPORE ICT SECTOR IN 1Q 2017 The top 5 most sought-after , and in the ICT sector were identified and ranked based on the number of unique online job postings that required them during the period from 1st January 2017 - 31st March 2017, 1Q 2017. With the increasing role and application of technology in the workplace, JobTechTM offers deep analysis of skill requirements for technology & engineering jobs in the Singapore ICT sector. TOP SKILLS SOUGHT BY JOBS IN THE SINGAPORE ICT SECTOR IN 1Q 2017 The decrease in the percentage of online job postings seeking the top 5 domain knowledge areas and the top 5 technical skills can be accounted for by the emergence of 19 additional domain knowledge areas and 25 additional technical skills that showed up in the 1Q 2017 listing. Some of the emerging domain knowledge areas sought-after by employers included knowledge in: Mechanical Engineering, Regulatory Compliance, ESB (Enterprise Service Bus Architecture), Mitigation Plan, RFIC (Radio Frequency Integrated Circuit) and more. For the emerging technical skills sought by technology & engineering jobs in the ICT sector, the list included: GULP, Unity 3D, Citrix XENAPP, Apache Struts and more. For more information on the full version of JobTechTM Analytics Reports (Quarterly Sector Reports), please visit http://analytics.jobtech.sg . [1] Duplicate online job postings are detected and sifted out by JobTechTM's proprietary natural language and text analytics technology which analyses the text in online job postings across multiple portals with over 95% accuracy. [2] The percentage reported here has not been adjusted for seasonality, the computation here is done based on consecutive quarterly data (4Q 2016 versus 1Q 2017). [3] This refers to online job postings in JobTechTM's database for the ICT sector. [4] Domain Knowledge refers to knowledge of a certain subject/specialized field that allows an individual to be proficient at applying their understanding to accomplish work-related tasks. [5] Change in demand reported here reflects quarter-on-quarter change in the number of online job postings that demand for a particular skill which fall within the top 5 lists of each skill category (technical skills, soft skills / traits, domain knowledge). JobTechTM is incubated by Economic Development Innovations Singapore (EDIS) Pte Ltd.


- In addition, JobTechTM provides analysis of the top skills sought by Singapore's Banking & Finance sector. SINGAPORE, May 9, 2017 /PRNewswire/ -- JobTechTM's job monitoring technology recorded an increase of more than 800 unique1 online job postings in the Singapore Banking & Finance sector in 1Q 2017; over the 2,000 unique Banking & Finance sector online job postings captured in 4Q 2016. This represents a more than 40% increase in online job postings when 1Q 2017 is compared with 4Q 2016. Looking at the average number of unique job postings per month, 1Q 2017 recorded slightly over 950 online job postings per month while 4Q 2016 recorded slightly over 650 online job postings per month, on average. While there is a possible seasonal effect due to hiring patterns in the beginning of the calendar year over the end of the calendar year; a negative signal was also observed from the number of online job postings from January to March 2017 for the Banking & Finance sector, with March recording the lowest number of online job postings in the first quarter of 2017. In addition, JobTechTM has identified the most sought-after skills by employers in the Banking & Finance sector in Singapore. Refer to Annex I for details of skill mentions in the job descriptions. TOP SKILLS SOUGHT BY ONLINE JOB POSTINGS IN THE SINGAPORE BANKING & FINANCE SECTOR IN 1Q 2017 In general, across the entire Banking & Finance sector, we see at least 20% of the online job postings seeking candidates with skills such as: proficiency in Microsoft Office, Sales, Communication Skills, Interpersonal Skills, Understanding of Technical Protocols and Good Practices. In addition, JobTech also noted the emergence of 10 additional domain knowledge areas and 16 additional technical skills that showed up in the 1Q 2017 listing. Some of the emerging domain knowledge areas sought by employers included: Robot Operating System, Relational Database, Safety Compliance, Business Operations, and System Engineering. For the emerging technical skills sought-after by technology jobs in the Banking and Finance sector, the list included: VSphere, Eclipse, RedHat, Apache Struts, and Phishing. Refer to Annex II for the top skills sought-after by technology jobs in the Banking & Finance sector. JobTechTM will continue to provide flash reports covering different sectors in Singapore, with a focus on highly sought-after skills and labor market trends. In this regard, JobTechTM is using its Big Data Analytics and Artificial Intelligence capabilities to provide visibility and analysis of the online jobs market in Singapore to support companies and decision makers there. For more information on the full version of JobTechTM Analytics Reports (Quarterly Sector Reports), please visit  for more information. For further information, please contact: Ms. Charlotte Lim JobTechTM Co-founder Tel: +65 6908-7642 Email: charlotte@jobtech.sg About JobTechTM          JobTechTM is an Artificial Intelligence, Deep Machine Learning technology platform that was developed to provide complete and accurate visibility of any online jobs market around the world. In Singapore, the technology is able to track and analyse more than 90% of the online jobs in Singapore. The platform is built on deep technology that was developed by the Institute for Infocomm Research (I2R) from the Agency for Science, Technology and Research (A*STAR). JobTechTM is a 6-month old start-up incubated by Economic Development Innovations Singapore (EDIS) Pte Ltd, a privately-owned international economic development company that is headquartered in Singapore, with overseas offices in the US and Germany. EDIS provides strategic advice and undertakes the development and management of integrated industrial parks. The EDIS management team comprises veterans who led more than 15 successful township and industrial park developments in Asia -- cumulatively creating 1 million high value jobs and attracting more than US$20 billion of dollars of foreign direct investment to the selected locations. EDIS works with governments and global investors to leverage Singapore's development experience for the benefit of other countries. TOP SKILLS SOUGHT BY ONLINE JOB POSTINGS IN THE SINGAPORE BANKING & FINANCE SECTOR IN 1Q 2017 The top 5 most sought-after , and in the Banking & Finance sector were identified and ranked based on the number of unique online job postings that employers were seeking during the period from 1st January 2017 -- 31st March 2017, 1Q 2017. With the increasing role and application of technology in the workplace, JobTechTM offers a deeper analysis of skill requirements for technology jobs in the Singapore Banking & Finance sector. TOP SKILLS SOUGHT BY JOBS IN THE SINGAPORE Banking & Finance SECTOR IN 1Q 2017 For domain knowledge areas, the collective average change in demand is 0.88%. The relative ranking of the top 5 domain knowledge areas required remains largely the same, with the exception of Protocols, previously ranked 5th in the 4Q 2016 list, being replaced by Computer Science according to the 1Q 2017 data. Overall the Banking and Finance sector is seeing an increase in both the total number of online job postings and the number of online job postings which demand the skills in the top 5 skills lists for 1Q 2017. There are nonetheless a total of 16 additions to the technical skills and 10 additions to the domain knowledge lists. Some of the emerging technical skills sought-after by employers included: VSphere, Eclipse, RedHat, Apache Struts, Phishing and more. For the emerging domain knowledge sought-after by technology jobs in the Banking & Finance sector, the list included: Robot Operating System, Relational Database, Safety Compliance, Business Operations, System Engineering and more. More detailed information can be found in JobTechTM's Quarterly Sector Reports.


More than 20 billion devices are expected to be upgraded and connected to each other by 2020. However, with IoT becoming increasingly widely adopted, developers need to guarantee its security. One hacked target could be the gateway to other parts of the network, making it vulnerable to breaches of sensitive information. This was demonstrated in October 2016, when a huge attack on IoT devices across Europe and the USA, such as CCTV cameras with easy-to-guess passwords, contributed to outages for several major websites. Currently, a number of web services, including online banking and Google, use or offer a two-step authentication process to increase the security levels. Since passwords can be leaked or cracked, these services require secondary secret information from the customer. This could be another code transmitted via SMS, email or a security token; or the user's fingerprints or facial recognition. However, the direct application of these methods to the IoT is not practical. "We want to achieve the same level of security as bank servers offer, but the resources needed are simply an overkill to typical IoT devices, "explains Jun Wen Wong, one of the researchers involved in the study. "We had to think about a brand new protocol." The new strategy, devised by A*STAR researchers of the Institute for Infocomm Research, uses the conventional password as first step for authentication, but a second step uses the whole history of the data exchanged between the IoT device and the server. The scientists proposed algorithms that generate and store in the IoT device a very small piece of secret information, which can concisely represent the whole history dataset, and can be retrieved for the authentication. Thanks to this approach, taken from the big data sector and originally applied to the IoT, this security two-step system can be compatible with IoT devices with low computation and small memory. Using the data exchanged between the device and the server has very interesting leakage-resilience properties. As data are constantly generated by the IoT device and sent to the server, the history dataset is growing, so hackers would have to steal a considerable amount of data over an extended period of time, becoming more open to detection. Explore further: Tips on protecting devices from hackers


Zhang R.,Institute for Infocomm Research | Zhang R.,National University of Singapore
IEEE Journal on Selected Areas in Communications | Year: 2010

Block diagonalization (BD) is a practical linear precoding technique that eliminates the inter-user interference in downlink multiuser multiple-input multiple-output (MIMO) systems. In this paper, we apply BD to the downlink transmission in a cooperative multi-cell MIMO system, where the signals from different base stations (BSs) to all the mobile stations (MSs) are jointly designed with the perfect knowledge of the downlink channels and transmit messages. Specifically, we study the optimal BD precoder design to maximize the weighted sum-rate of all the MSs subject to a set of per-BS power constraints. This design problem is formulated in an auxiliary MIMO broadcast channel (BC) with a set of transmit power constraints corresponding to those for individual BSs in the multi-cell system. By applying convex optimization techniques, this paper develops an efficient algorithm to solve this problem, and derives the closed-form expression for the optimal BD precoding matrix. It is revealed that the optimal BD precoding vectors for each MS in the per-BS power constraint case are in general non-orthogonal, which differs from the conventional orthogonal BD precoder design for the MIMO-BC under one single sum-power constraint. Moreover, for the special case of single-antenna BSs and MSs, the proposed solution reduces to the optimal zero-forcing beamforming (ZF-BF) precoder design for the weighted sum-rate maximization in the multiple-input single-output (MISO) BC with per-antenna power constraints. Suboptimal and low-complexity BD/ZF-BF precoding schemes are also presented, and their achievable rates are compared against those with the optimal schemes. © 2006 IEEE.


Zhang R.,National University of Singapore | Zhang R.,Institute for Infocomm Research | Ho C.K.,Institute for Infocomm Research
IEEE Transactions on Wireless Communications | Year: 2013

Wireless power transfer (WPT) is a promising new solution to provide convenient and perpetual energy supplies to wireless networks. In practice, WPT is implementable by various technologies such as inductive coupling, magnetic resonate coupling, and electromagnetic (EM) radiation, for short-/mid-/long- range applications, respectively. In this paper, we consider the EM or radio signal enabled WPT in particular. Since radio signals can carry energy as well as information at the same time, a unified study on simultaneous wireless information and power transfer (SWIPT) is pursued. Specifically, this paper studies a multiple-input multiple-output (MIMO) wireless broadcast system consisting of three nodes, where one receiver harvests energy and another receiver decodes information separately from the signals sent by a common transmitter, and all the transmitter and receivers may be equipped with multiple antennas. Two scenarios are examined, in which the information receiver and energy receiver are separated and see different MIMO channels from the transmitter, or co-located and see the identical MIMO channel from the transmitter. For the case of separated receivers, we derive the optimal transmission strategy to achieve different tradeoffs for maximal information rate versus energy transfer, which are characterized by the boundary of a so-called rate-energy (R-E) region. For the case of co-located receivers, we show an outer bound for the achievable R-E region due to the potential limitation that practical energy harvesting receivers are not yet able to decode information directly. Under this constraint, we investigate two practical designs for the co-located receiver case, namely time switching and power splitting, and characterize their achievable R-E regions in comparison to the outer bound. © 2002-2012 IEEE.


Lu S.,Institute for Infocomm Research
IEEE Transactions on Medical Imaging | Year: 2011

Under the framework of computer-aided diagnosis, this paper presents an accurate and efficient optic disc (OD) detection and segmentation technique. A circular transformation is designed to capture both the circular shape of the OD and the image variation across the OD boundary simultaneously. For each retinal image pixel, it evaluates the image variation along multiple evenly-oriented radial line segments of specific length. The pixels with the maximum variation along all radial line segments are determined, which can be further exploited to locate both the OD center and the OD boundary accurately. Experiments show that OD detection accuracies of 99.75%, 97.5%, and 98.77% are obtained for the STARE dataset, the ARIA dataset, and the MESSIDOR dataset, respectively, and the OD center error lies around six pixels for the STARE dataset and the ARIA dataset which is much smaller than that of state-of-the-art methods ranging 14-29 pixels. In addition, the OD segmentation accuracies of 93.4% and 91.7% are obtained for STARE dataset and ARIA dataset, respectively, that consists of many severely degraded images of pathological retinas that state-of-the-art methods cannot segment properly. Furthermore, the algorithm runs in 5 s, which is substantially faster than many of the state-of-the-art methods. © 2006 IEEE.


Pei Y.,Institute for Infocomm Research | Liang Y.-C.,Institute for Infocomm Research
IEEE Transactions on Wireless Communications | Year: 2013

Device-to-device (D2D) communications has been proposed in the literature as an underlay approach to cellular networks to allow direct transmission between two cellular devices with local communication needs. In this paper, we consider a scenario of D2D communications overlaying a cellular network and propose a new spectrum sharing protocol, which allows the D2D users to communicate bi-directionally with each other while assisting the two-way communications between the cellular base station (BS) and the cellular user (CU). We derive the achievable rate region of the sum rate of the D2D transmissions versus that of the cellular transmissions. The Pareto boundary of the region is found by optimizing the transmit power at BS and CU as well as the power splitting factor at the relay D2D node. Since either of the two D2D users can be the relay and there can exist multiple pairs of D2D users, we also consider the relay selection from the potential D2D users. We find through numerical results that the proposed two-way protocol with power control at the BS and CU is effective to improve the sum rate for both the D2D and cellular users. In addition, relay selection can achieve further improvement in the sum rate of the cellular links. © 2002-2012 IEEE.


Tarasak P.,Institute for Infocomm Research
2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011 | Year: 2011

Implementation of real-time communication systems enables real-time pricing for smart grid operation. Recently, [1] proposed a utility framework and a distributed algorithm for real-time pricing. We extend this work to include the effect from load uncertainty. We derive the optimal prices under different types of load uncertainty and show how it influences power consumption and generating capacity. Simulation results indicate power consumption back-offs when there is load uncertainty and provide comparisons among the load uncertainty models. © 2011 IEEE.


Joung J.,Institute for Infocomm Research | Sayed A.H.,University of California at Los Angeles
IEEE Transactions on Signal Processing | Year: 2010

In this paper, multiple-input multiple-output (MIMO) relay transceiver processing is proposed for multiuser two-way relay communications. The relay processing is optimized based on both zero-forcing (ZF) and minimum mean-square-error (MMSE) criteria under relay power constraints. Various transmit and receive beamforming methods are compared including eigen beamforming, antenna selection, random beamforming, and modified equal gain beamforming. Local and global power control methods are designed to achieve fairness among all users and to maximize the system signal-to-noise ratio (SNR). Numerical results show that the proposed multiuser two-way relay processing can efficiently eliminate both co-channel interference (CCI) and self-interference (SI). © 2010 IEEE.

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